diff --git a/.dvc/.gitignore b/.dvc/.gitignore new file mode 100644 index 0000000000..528f30c71c --- /dev/null +++ b/.dvc/.gitignore @@ -0,0 +1,3 @@ +/config.local +/tmp +/cache diff --git a/.dvc/config b/.dvc/config new file mode 100644 index 0000000000..be5bd52cda --- /dev/null +++ b/.dvc/config @@ -0,0 +1,4 @@ +[core] + remote = remote +['remote "remote"'] + url = /home/ilona/dvc_remote diff --git a/.dvcignore b/.dvcignore new file mode 100644 index 0000000000..96cc060996 --- /dev/null +++ b/.dvcignore @@ -0,0 +1,3 @@ +# .dvcignore files (optional) contain a list of paths for DVC to ignore, +# which can dramatically increase its operational performance. +# see: https://dvc.org/doc/user-guide/project-structure/dvcignore-files \ No newline at end of file diff --git a/.github/workflows/manual.yml b/.github/workflows/manual.yml deleted file mode 100644 index 036e16aeae..0000000000 --- a/.github/workflows/manual.yml +++ /dev/null @@ -1,46 +0,0 @@ -# Workflow to ensure whenever a Github PR is submitted, -# a JIRA ticket gets created automatically. -name: Manual Workflow - -# Controls when the action will run. -on: - # Triggers the workflow on pull request events but only for the master branch - pull_request_target: - types: [opened, reopened] - - # Allows you to run this workflow manually from the Actions tab - workflow_dispatch: - -jobs: - test-transition-issue: - name: Convert Github Issue to Jira Issue - runs-on: ubuntu-latest - steps: - - name: Checkout - uses: actions/checkout@master - - - name: Login - uses: atlassian/gajira-login@master - env: - JIRA_BASE_URL: ${{ secrets.JIRA_BASE_URL }} - JIRA_USER_EMAIL: ${{ secrets.JIRA_USER_EMAIL }} - JIRA_API_TOKEN: ${{ secrets.JIRA_API_TOKEN }} - - - name: Create NEW JIRA ticket - id: create - uses: atlassian/gajira-create@master - with: - project: CONUPDATE - issuetype: Task - summary: | - Github PR | Repo: ${{ github.repository }} | PR# ${{github.event.number}} - description: | - Repo link: https://github.com/${{ github.repository }} - PR no. ${{ github.event.pull_request.number }} - PR title: ${{ github.event.pull_request.title }} - PR description: ${{ github.event.pull_request.description }} - In addition, please resolve other issues, if any. - fields: '{"components": [{"name":"nd0821 - ML DevOpsEngineer ND"}], "customfield_16449":"https://classroom.udacity.com/", "customfield_16450":"Resolve the PR", "labels": ["github"], "priority":{"id": "4"}}' - - - name: Log created issue - run: echo "Issue ${{ steps.create.outputs.issue }} was created" diff --git a/.github/workflows/python-app.yml b/.github/workflows/python-app.yml new file mode 100644 index 0000000000..85eb1687ea --- /dev/null +++ b/.github/workflows/python-app.yml @@ -0,0 +1,65 @@ +# This workflow will install Python dependencies, run tests and lint with a single version of Python +# For more information see: https://docs.github.com/en/actions/automating-builds-and-tests/building-and-testing-python + +name: Python application + +on: + push: + branches: [ "master" ] + pull_request: + branches: [ "master" ] + +permissions: + contents: read + +jobs: + build: + + runs-on: ubuntu-latest # Which OS this runs on + strategy: + matrix: + python-version: ["3.11.13"] # You can build against multiple Python versions + + steps: + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} # Name of an action that sets up Python + uses: actions/setup-python@v5 # https://github.com/actions/setup-python + with: + python-version: ${{ matrix.python-version }} + + - name: Install and upgrade core tools + run: | + python -m pip install --upgrade pip + python -m pip install pip-tools + + - name: Verify lockfile consistency (diagnostic mode) + run: | + echo "Generating requirements.txt from source to check for differences..." + pip-compile --quiet requirements.in -o requirements.txt + echo "Comparing the generated file with the one in the repository:" + # 'git diff' will show any diff's. '|| true' ensures the step doesn't fail. + git diff requirements.txt || true + + - name: Install Python dependencies from lockfile + run: | + echo "Installing dependencies from requirements.txt..." + if [ -f requirements.txt ]; then python -m pip install -r requirements.txt; fi + + - name: Lint with flake8 + run: | + # stop the build if there are Python syntax errors or undefined names + flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics + # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide + flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics + # DVC iterative setup installation path is not working (Nov 2024), now happens via requirement.txt + # - name: DVC install # see: https://github.com/iterative/setup-dvc + # uses: iterative/setup-dvc@v1 + # - name: DVC + # run: | + # # see: https://dvc.org/doc/user-guide/troubleshooting#missing-files, + # # no remote cloud service available yet + # dvc pull + - name: Test with pytest + run: | + # Final action: runs pytest for all tests in the ./tests dir + pytest ./tests/*.py -vv diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml new file mode 100644 index 0000000000..1e1e6f0a09 --- /dev/null +++ b/.github/workflows/stale.yml @@ -0,0 +1,27 @@ +# This workflow warns and then closes issues and PRs that have had no activity for a specified amount of time. +# +# You can adjust the behavior by modifying this file. +# For more information, see: +# https://github.com/actions/stale +name: Mark stale issues and pull requests + +on: + schedule: + - cron: '30 1 * * *' + +jobs: + stale: + + runs-on: ubuntu-latest + permissions: + issues: write + pull-requests: write + + steps: + - uses: actions/stale@v5 + with: + repo-token: ${{ secrets.GITHUB_TOKEN }} + stale-issue-message: 'Stale issue message' + stale-pr-message: 'Stale pull request message' + stale-issue-label: 'no-issue-activity' + stale-pr-label: 'no-pr-activity' diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000000..f0b77442c3 --- /dev/null +++ b/.gitignore @@ -0,0 +1,167 @@ +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ + +# MLOPs proj3 US census app files +./mlops_proj3_tree.txt +./mlops_proj3_tree_dirs.txt +./logs/*.* +census_app.log + diff --git a/CODEOWNERS b/CODEOWNERS deleted file mode 100644 index 2a6bcb2832..0000000000 --- a/CODEOWNERS +++ /dev/null @@ -1 +0,0 @@ -* @udacity/active-public-content \ No newline at end of file diff --git a/LICENSE.txt b/LICENSE.txt index 92a11d3c7f..1b7cb02c82 100644 --- a/LICENSE.txt +++ b/LICENSE.txt @@ -1,46 +1,21 @@ -Copyright © 2012 - 2020, Udacity, Inc. +MIT License -Udacity hereby grants you a license in and to the Educational Content, including -but not limited to homework assignments, programming assignments, code samples, -and other educational materials and tools (as further described in the Udacity -Terms of Use), subject to, as modified herein, the terms and conditions of the -Creative Commons Attribution-NonCommercial- NoDerivs 3.0 License located at -http://creativecommons.org/licenses/by-nc-nd/4.0 and successor locations for -such license (the "CC License") provided that, in each case, the Educational -Content is specifically marked as being subject to the CC License. +Copyright (c) 2023 Ilona Brinkmeier -Udacity expressly defines the following as falling outside the definition of -"non-commercial": -(a) the sale or rental of (i) any part of the Educational Content, (ii) any - derivative works based at least in part on the Educational Content, or (iii) - any collective work that includes any part of the Educational Content; -(b) the sale of access or a link to any part of the Educational Content without - first obtaining informed consent from the buyer (that the buyer is aware - that the Educational Content, or such part thereof, is available at the - Website free of charge); -(c) providing training, support, or editorial services that use or reference the - Educational Content in exchange for a fee; -(d) the sale of advertisements, sponsorships, or promotions placed on the - Educational Content, or any part thereof, or the sale of advertisements, - sponsorships, or promotions on any website or blog containing any part of - the Educational Material, including without limitation any "pop-up - advertisements"; -(e) the use of Educational Content by a college, university, school, or other - educational institution for instruction where tuition is charged; and -(f) the use of Educational Content by a for-profit corporation or non-profit - entity for internal professional development or training. +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: -THE SERVICES AND ONLINE COURSES (INCLUDING ANY CONTENT) ARE PROVIDED "AS IS" AND -"AS AVAILABLE" WITH NO REPRESENTATIONS OR WARRANTIES OF ANY KIND, EITHER -EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF -MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. YOU -ASSUME TOTAL RESPONSIBILITY AND THE ENTIRE RISK FOR YOUR USE OF THE SERVICES, -ONLINE COURSES, AND CONTENT. WITHOUT LIMITING THE FOREGOING, WE DO NOT WARRANT -THAT (A) THE SERVICES, WEBSITES, CONTENT, OR THE ONLINE COURSES WILL MEET YOUR -REQUIREMENTS OR EXPECTATIONS OR ACHIEVE THE INTENDED PURPOSES, (B) THE WEBSITES -OR THE ONLINE COURSES WILL NOT EXPERIENCE OUTAGES OR OTHERWISE BE UNINTERRUPTED, -TIMELY, SECURE OR ERROR-FREE, (C) THE INFORMATION OR CONTENT OBTAINED THROUGH -THE SERVICES, SUCH AS CHAT ROOM SERVICES, WILL BE ACCURATE, COMPLETE, CURRENT, -ERROR- FREE, COMPLETELY SECURE OR RELIABLE, OR (D) THAT DEFECTS IN OR ON THE -SERVICES OR CONTENT WILL BE CORRECTED. YOU ASSUME ALL RISK OF PERSONAL INJURY, -INCLUDING DEATH AND DAMAGE TO PERSONAL PROPERTY, SUSTAINED FROM USE OF SERVICES. +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/README.md b/README.md index b3f0e882db..e0cccc95f7 100644 --- a/README.md +++ b/README.md @@ -1,43 +1,219 @@ -Working in a command line environment is recommended for ease of use with git and dvc. If on Windows, WSL1 or 2 is recommended. - -# Environment Set up -* Download and install conda if you don’t have it already. - * Use the supplied requirements file to create a new environment, or - * conda create -n [envname] "python=3.8" scikit-learn pandas numpy pytest jupyter jupyterlab fastapi uvicorn -c conda-forge - * Install git either through conda (“conda install git”) or through your CLI, e.g. sudo apt-get git. - -## Repositories -* Create a directory for the project and initialize git. - * As you work on the code, continually commit changes. Trained models you want to use in production must be committed to GitHub. -* Connect your local git repo to GitHub. -* Setup GitHub Actions on your repo. You can use one of the pre-made GitHub Actions if at a minimum it runs pytest and flake8 on push and requires both to pass without error. - * Make sure you set up the GitHub Action to have the same version of Python as you used in development. - -# Data -* Download census.csv and commit it to dvc. -* This data is messy, try to open it in pandas and see what you get. -* To clean it, use your favorite text editor to remove all spaces. - -# Model -* Using the starter code, write a machine learning model that trains on the clean data and saves the model. Complete any function that has been started. -* Write unit tests for at least 3 functions in the model code. -* Write a function that outputs the performance of the model on slices of the data. - * Suggestion: for simplicity, the function can just output the performance on slices of just the categorical features. -* Write a model card using the provided template. - -# API Creation -* Create a RESTful API using FastAPI this must implement: - * GET on the root giving a welcome message. - * POST that does model inference. - * Type hinting must be used. - * Use a Pydantic model to ingest the body from POST. This model should contain an example. - * Hint: the data has names with hyphens and Python does not allow those as variable names. Do not modify the column names in the csv and instead use the functionality of FastAPI/Pydantic/etc to deal with this. -* Write 3 unit tests to test the API (one for the GET and two for POST, one that tests each prediction). - -# API Deployment -* Create a free Heroku account (for the next steps you can either use the web GUI or download the Heroku CLI). -* Create a new app and have it deployed from your GitHub repository. - * Enable automatic deployments that only deploy if your continuous integration passes. - * Hint: think about how paths will differ in your local environment vs. on Heroku. - * Hint: development in Python is fast! But how fast you can iterate slows down if you rely on your CI/CD to fail before fixing an issue. I like to run flake8 locally before I commit changes. -* Write a script that uses the requests module to do one POST on your live API. +[//]: # (Image References) +[image0]: ./screenshots/MLOps_proj3_tree.PNG "proj3 structure" +[image1]: ./screenshots/continuous_deployment.png "github action" +[image2]: ./plots/numFeats_outlierDist_sex_boxplot.png "feat dist by sex plot" +[image3]: ./plots/general_dist_age-hoursPerWeek_boxplot.png "hours-per-week by age boxplots" +[image4]: ./plots/salary_dist_hoursPerWeek-age-sex_plot.png "salary dist by age sex plot" +[image5]: ./plots/capitalGain_dist_age-hoursPerWeek-sex_plot.png "capital gain dist by hours-per-week sex" +[image6]: ./plots/sex_plot.png "sex plot" +[image7]: ./screenshots/education-group_people-count.PNG "education people count" +[image8]: ./plots/eduLevel_dist_age-race_plot.png "education level grouping by age race" +[image9]: ./screenshots/example.PNG "fastapi income negative" +[image10]: ./screenshots/MLOps_proj3_FastAPI_docsPredictPersonIncomeNegativeExample_ResponseCode.PNG "fastapi income negative response" +[image11]: ./screenshots/MLOps_proj3_Render_createNewWebService.PNG "render web service" +[image12]: ./screenshots/MLOps_proj3_Render_webservice_live.PNG "render web service life" +[image13]: ./screenshots/MLOps_proj3_Render_webservice_live_test_status.PNG "render web service test" +[image14]: ./screenshots/live_post.png "render web service script result" +[image15]: ./screenshots/render_auto-deploy_settings.PNG "render deploy settings" +[image16]: ./screenshots/render_deployed_censusproject.PNG "render app deployed" +[image17]: ./screenshots/render_deployed-app_browser-homepage.PNG "render app welcome" +[image18]: https://readthedocs.org/projects/pycodestyle/badge/ "Inline docs" + +[![made-with-python](https://img.shields.io/badge/Made%20with-Python3.11-1f425f.svg?style=flat&logo=python3.11)](https://www.python.org/) +[![MIT license](https://img.shields.io/badge/License-MIT-blue.svg?style=flat&logo=appveyor)](https://opensource.org/license/mit/) +![Inline docs][image18] +[![Known Vulnerabilities](https://snyk.io/test/github/IloBe/US_CensusData_Classifier_PipelineWithDeployment/badge.svg?style=flat-square)](https://snyk.io/test/github/IloBe/US_CensusData_Classifier_PipelineWithDeployment) + +# US Census Data - Creating and Deploying a Classifier Pipeline as Web Service + +This is the third project of the course MLOps Engineer Nanodegree by Udacity, called Deploying a Scalable Pipeline in Production. Its instructions are available in Udacity's [repository](https://github.com/udacity/nd0821-c3-starter-code/tree/master/starter). + +We develop a classification model artifact for production on public available US Census Bureau data and monitor the model performance on various data slices as business goal. + +Regarding data science goals for this classification prediction, we start with the ETL (Extract, Transform, Load) transformer pipeline including EDA (Exploratory Data Analysis) activities, diagrams and reports, followed by the ML (Machine Learning) pipeline for the investigated prediction model, in our case a _binary XGBoost Classifier_. The estimator is selected by using cross validation concept with early stopping for the training phase. This best estimator evaluated by metrics is selected as deployment artifact together with the associated column transformer used for data preprocessing. + +General information about the deployed XGBoost classifier, the used data, their training condition and evaluation results can be found in the [Model Card](https://github.com/IloBe/US_CensusData_Classifier_PipelineWithDeployment/blob/master/model_card.md) description. + +Regarding software engineering principles, beside documentation, logging and python style, we create _unit tests_. Slice validation and the tests are incorporated into a _CI/CD framework_ using GitHub Actions. Then, the model is deployed using the [_FastAPI_](https://fastapi.tiangolo.com/) web framework and [_Render_](https://dashboard.render.com/#) as open-source web service. + +The unit tests are written via [_pytest_](https://docs.pytest.org/en/7.1.x/explanation/goodpractices.html#src-layout) for GET and POST prediction requests for the FastAPI component as well as for the mentioned data and model task parts. All unit test results are reported in associated html files of the [tests directory](https://github.com/IloBe/US_CensusData_Classifier_PipelineWithDeployment/tree/master/tests). + +All project relevant configuration values, including model hyperparameter ranges for the cross validation concept, are handled via specific configuration _config.yml_ file. + +For versioning tasks, [_git_](https://git-scm.com/) and [_dvc_](https://dvc.org/doc/use-cases/versioning-data-and-models), handled with ignore files content, are chosen. If a remote storage, like AWS S3 or Azure shall be used as future task, dvc[all] for the selected dvc version is installed via requirements.txt file as well for specific configuration. By now, only dvc 'local' remote is set. + + +## Environment Set Up +* Working in a command line environment is recommended for ease of use with git and dvc. Working on Windows, [WSL2 and Ubuntu (Linux)](https://ubuntu.com/tutorials/install-ubuntu-on-wsl2-on-windows-11-with-gui-support#1-overview) is chosen for this project implementation. +* We expect you have at least Python 3.11.13 installed, furthermore having forked this project repo locally and activate it in your virtual environment to work on for your own. So, in your root directory `path/to/census-project` create a new virtual environment depending on the selected OS and use the supplied _requirements.txt_ file to install the needed libraries via the following process: + +### User Process +This project uses Conda for environment management and pip-tools for dependency locking. + +1. **Create and activate the Conda environment:** + ```bash + conda create --name my-project-env python=3.11.13 + conda activate my-project-env + ``` + +2. **Install dependencies:** + Use the locked requirements file for a reproducible installation. + ```bash + pip install -r requirements.txt + ``` + +### Developer Workflow +If updates are needed, put them in the top-level requirements.in file. There the directly needed packages are listed. pip-compile resolves the search of necessary dependencies together with the pyproject.toml file and creates the final requirements.txt file. + +1. Add or modify a package in `requirements.in`. +2. Regenerate the lock file: + ```bash + pip-compile requirements.in + ``` +3. Install the new packages: + ```bash + pip install -r requirements.txt + ``` +4. Commit **both** `requirements.in` and `requirements.txt` to Git. + + +## Project Structure +* Main coding files are stored in the ``src`` and test scripts in the ``tests`` project root subdirectories. The FastAPI RESTful web application is called via _main.py_ file stored in the src directory, but associated schemas and request examples data are part of the src/app subdirectory. All administrative asset files, like plots, screenshots, configuration, logs, as well as model and dataset files are stored in their own directories in parallel to the source code.
+ +* The general project structure looks like:
+![proj3 structure][image0] + + +* In our GitHub repository an automatic Action script is set up to check amongst others dependencies, linting and unit testing. +![github action][image1] + +
+ +## Data +* The download raw _census.csv_ file is preprocessed and stored as new .csv file. Both files are committed and versioned with _dvc_. +* Some exploratory data analysis is implemented and visualised. They are stored as .png plot or screenshot files in the associated directories. + +Examples are the following ones, regarding amongst others distributions of hours-per-week, salary, capital-gain and education by few feature attributes like age, sex or race. As investigated there is some bias according man (twice as much as women) and white people. Furthermore, it is interesting that according capital gain female representatives earn much often a much higher value for less working hours compared to man. In general, people work >40 hours per week if they are between 25 and 60 years old. + +Several other insights are visualised and stored as .png files. So, have a look there if you are interested in further analysis. + +![feat dist by sex plot][image2] + +![hours-per-week by age boxplots][image3] + +![salary dist by age sex plot][image4] + +![capital gain dist by hours-per-week sex][image5] + +![sex plot][image6] + +![education people count][image7] + +![education level grouping by age race][image8] + +
+ +## Model +* As machine learning model that trains on the clean data _XGBoost Classifier_ is selected and the best found and evaluated estimator is stored as pickle file (...artifact.pkl) in the associated model directory. +* Additionally, a function exists that outputs the performance of the model on slices of the categorical features. Performance evaluation metrics of such categorical census feature slices are stored in a _slice_output.txt_ file. As an example, the metric block looks like: + + ``` + workclass - Private: + Precision: 0.83, Recall: 0.66, Fbeta: 0.73 + Confusion Matrix: + [[2907 119] + [ 297 572]] + + workclass - Self-emp-not-inc: + Precision: 0.83, Recall: 0.57, Fbeta: 0.68 + Confusion Matrix: + [[358 16] + [ 58 77]] + + ... + ``` +* As mentioned, the [Model Card](https://github.com/IloBe/US_CensusData_Classifier_PipelineWithDeployment/blob/master/model_card.md) informs about our found insights of the binary classification estimator including evaluation diagrams and general metrics. +
+ + +## API Creation +* As web framework to create a RESTful API [_FastAPI_](https://fastapi.tiangolo.com/) is chosen for app implementation. A _pydantic_ _BaseModel_ instance handels the POST body, e.g. dealing with hyphens in data feature names which is not allowed in Python. + +* As high performance ASGI server [uvicorn](https://www.uvicorn.org/) is selected. The FastAPI web app _uvicorn_ server can be started in the projects root directory via CLI python command: + + ``` + python ./src/main.py + ``` + +There in "__main__" it calls + + ``` + uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True) + ``` + +Remember, this code is for development purpose, in production the reload option shall be set to False resp. not used. In other words, the start command e.g. on our render deployment web service (see below) is:
+uvicorn src.main:app --host 0.0.0.0 --port 8000 + +* So, locally we start our implemented browser web application from project root with + + ``` + http://127.0.0.1:8000/docs + or + http://localhost:8000/docs + ``` + +As an examples regarding the use case of having a person earning <=50K as income, you are going to get the following UI's: + +![fastapi income negative][image9] + +![fastapi income negative response][image10] + +
+ +## API Deployment +* As open-source tool for our web service deployment, we use [Render](https://render.com/docs) and a free account there. From the Render.com landing page, click the "Get Started" button to open the sign-up page. You can create an account by linking your GitHub, GitLab, or Google account or provide your email and password. Then, the render account must be connected with our GitHub account, so, the usage of render services is guaranteed. Have in mind, shell and jobs are not supported for free instance types. As stated by FastAPI company tiangolo "For a web API, it normally involves putting it in a remote machine, with a server program that provides good performance, stability, etc, so that your users can access the application efficiently and without interruptions or problems." But using a free account, the service is limited. + +* Our new application is deployed from our public GitHub repository by creating a new [Web Service](https://render.com/docs/web-services) for this specific project GitHub URL. + +![render web service][image11] + +
+ +* Because default render Python version is 3.7 and this version has issues with dvc, the environment variable PYTHON_VERSION has to be configured being version 3.10.9. +* After selection, render starts its advanced deployment configuation, some parameters are already set, some have to be set manually appropriately. Render guides you through with easy to handle UI's. + +![render deploy settings][image15] + +
+ +* That's it. Implement coding changes, push to the GitHub repository, and the app will automatically redeploy each time, but it will only deploy if your continuous integration action passes. + +![render app deployed][image16] + +
+ +* Regarding the automatically created render census-project app link used as browser link + ``` + https://census-project-xki0.onrender.com + ``` + we get the welcome page message + +![render app welcome][image17] + +
+ +* Have in mind: if you rely on your CI/CD to fail before fixing an issue, it slows down your deployment. Fix issues early, e.g. by running an ensemble linter like flake8 locally before committing changes. +* For checking the render deployment, a python file exists that uses the httpx module to do one GET and POST on the live render web service and prints its results. + +On the Render web service site after deployment +![render web service life][image12] +
+and as result of the httpx test script for GET and POST +![render web service test][image13] +
+![render web service script result][image14] + +
+ +## License +This project coding is released under the [MIT](https://github.com/IloBe/US_CensusData_Classifier_PipelineWithDeployment/blob/master/LICENSE.txt) license. diff --git a/data/.gitignore b/data/.gitignore new file mode 100644 index 0000000000..9e4e14a977 --- /dev/null +++ b/data/.gitignore @@ -0,0 +1,2 @@ +/census.csv +/preproc_census.csv diff --git a/data/census.csv.dvc b/data/census.csv.dvc new file mode 100644 index 0000000000..732562e32c --- /dev/null +++ b/data/census.csv.dvc @@ -0,0 +1,5 @@ +outs: +- md5: 145de00f6e6053d3f7044628f9a5b5ff + size: 3974474 + hash: md5 + path: census.csv diff --git a/data/preproc_census.csv.dvc b/data/preproc_census.csv.dvc new file mode 100644 index 0000000000..a703ad8f97 --- /dev/null +++ b/data/preproc_census.csv.dvc @@ -0,0 +1,5 @@ +outs: +- md5: da9b7e65b7c6170ab2d36ad9d7fc92bd + size: 3098866 + hash: md5 + path: preproc_census.csv diff --git a/starter/dvc_on_heroku_instructions.md b/dvc_on_heroku_instructions.md similarity index 100% rename from starter/dvc_on_heroku_instructions.md rename to dvc_on_heroku_instructions.md diff --git a/logs/.gitignore b/logs/.gitignore new file mode 100644 index 0000000000..a6864b33f7 --- /dev/null +++ b/logs/.gitignore @@ -0,0 +1,2 @@ +# census application logging +./census_app.log \ No newline at end of file diff --git a/mlops_proj3_tree.txt b/mlops_proj3_tree.txt new file mode 100644 index 0000000000..9e2eb8ebd1 --- /dev/null +++ b/mlops_proj3_tree.txt @@ -0,0 +1,67 @@ +. +├── LICENSE.txt +├── README.md +├── data +│   ├── census.csv.dvc +│   └── preproc_census.csv.dvc +├── dvc_on_heroku_instructions.md +├── logs +│   └── ... +├── mlops_proj3_tree.txt +├── mlops_proj3_tree_dirs.txt +├── model_card.md +├── models +│   ├── final_col_transformer_artifact.pkl +│   └── final_xgb_cls_artifact.pkl +├── plots +│   ├── ... a lot of .png files, like ... +│   ├── salary_dist_hoursPerWeek-age-sex_plot.png +│   ├── sex_dist_age-capitalGain-educationLevel_plot.png +│   ├── sex_plot.png +│   └── workclass_plot.png +├── requirements.txt +├── sanitycheck.py +├── screenshots +│   ├── ... a lot of .png files, like ... +│   ├── MLOps_proj3_FastAPI_docsLandingPage.PNG +│   ├── MLOps_proj3_FastAPI_docsPredictPersonIncomeNegativeExample.PNG +│   ├── MLOps_proj3_FastAPI_gitHubPrecommitHook.PNG +│   ├── education-group_people-count.PNG +│   └── normalDistTest_hours-per-week.PNG +├── setup.py +├── src +│   ├── 2023-09-22_07-51_slice_output.txt +│   ├── __init__.py +│   ├── app +│   │   ├── __init__.py +│   │   ├── examples_request.yml +│   │   └── schemas.py +│   ├── config +│   │   ├── __init__.py +│   │   ├── config.py +│   │   └── config.yml +│   ├── eda +│   │   ├── __init__.py +│   │   ├── eda.ipynb +│   │   ├── eda_census_orig_report.html +│   │   └── eda_census_preproc_report.html +│   ├── main.py +│   ├── slice_performance.py +│   └── training +│   ├── __init__.py +│   ├── ml +│   │   ├── __init__.py +│   │   ├── data.py +│   │   └── model.py +│   └── train_model.py +└── tests + ├── __init__.py + ├── api_test_report.html + ├── assets + │   └── style.css + ├── conftest.py + ├── data_test_report.html + ├── model_test_report.html + ├── test_api.py + ├── test_data.py + └── test_model.py diff --git a/mlops_proj3_tree_dirs.txt b/mlops_proj3_tree_dirs.txt new file mode 100644 index 0000000000..6b5b9a4105 --- /dev/null +++ b/mlops_proj3_tree_dirs.txt @@ -0,0 +1,14 @@ +. +├── data +├── logs +├── models +├── plots +├── screenshots +├── src +│   ├── app +│   ├── config +│   ├── eda +│   └── training +│   └── ml +└── tests + └── assets diff --git a/model_card.md b/model_card.md new file mode 100644 index 0000000000..17d1adae27 --- /dev/null +++ b/model_card.md @@ -0,0 +1,106 @@ +[//]: # (Image References) +[image1]: ./plots/numFeats_outlierDist_sex_boxplot.png "feat dist by sex plot:" +[image2]: ./plots/salary_dist_hoursPerWeek-age-sex_plot.png "salary dist plot:" +[image3]: ./plots/MLOps_Proj3_trainModel_retrainBestCV_fifthRunPart0_2023-09-21.PNG "best estimator params" +[image4]: ./plots/2023-09-21_21-34_best_retrained_xgb-cv_logloss_treeNo_diagram.png "best xgb cls logloss" +[image5]: ./plots/2023-09-21_21-34_best_retrained_xgb-cv_roc-curve_diagram.png "best xgb cls roc auc" +[image6]: ./plots/MLOps_Proj3_trainModel_retrainBestCV_fifthRunPart4_2023-09-21.PNG "best xgb cls eval" + +# Model Card + +For additional information see the Model Card paper: https://arxiv.org/pdf/1810.03993.pdf + +## Model Details +- Developed by: Ilona Brinkmeier, September 2023 +- XGBoost Classifier as a single, basic instance and additionally with GridSearchCV as optimisation concept are examined. The best estimator has been found with GridSearchCV, this model card is written for its retrained, best estimator. +- For this binary classification task a predictive modeling pipeline is developed using public adult US census data from [UCI ML repository](https://archive.ics.uci.edu/dataset/20/census+income). + +## Intended Use +- Intended to be used to predict if a person earns >50K US$ per year or not based on the labeled adult census data. + +## Training Data +- For the data given 1996-04-30 extraction was done by *Barry Becker* from the 1994 Census database. +- Attribute information is given from the UCI ML repository. Regarding the raw data, the *columns* are: + - age + - workclass + - fnlwgt + - education + - education-num + - marital-status + - occupation + - relationship + - race + - sex + - capital-gain + - capital-loss + - hours-per-week + - native-country + +with **target label** feature 'salary' which has been converted during preprocessing being numerical: + - '>50K': 1 + - '<=50K': 0 + +- The raw numerical feature distribution is:
+![feat dist by sex plot:][image1] + +- And its salary distribution regarding hours-per-week, age and sex is:
+![salary dist plot:][image2] + +- Some preprocessing has been done with pipeline implementation. These tasks include, but are not limited to, dealing with the imbalanced distribution of the target label, duplicate rows, wrong labeling or strings, non-normalised features and one-hot-encoding for the categorical nominal features. +- fnlwgt has been removed not having an added value for the prediction task, because it seems to have a kind of index functionality +- native_country has been changed having another bin grouping according [German Society for State Studies e.V.](http://www.staatenkunde.de/dgfs/datenbank/db-sb.php?sb=18&k=4) + +For both, the raw and the preprocessed data, profiling reports are created as EDA (exploratory data analysis) tasks stored in directory [./src/eda](./src/eda/). + +## Evaluation Data +For the validation datasets containing different samples to evaluate trained ML models the GridSearchCV approach from scikit-learn is implemented with 0.2 test size fraction of data used for final testing. + +The following value ranges for the **grid parameters** are handled (note: read in via configuration file), they are used with early stopping mechanism: +- for our *binary classification*, output probability:
+ objective: ["binary:logistic"] +- *evaluation metrics* used e.g. for model plots:
+ eval_metric: ["logloss"]
+ note regarding XGBoost: early stopping uses only the last given metric of a sequence +- specifies the *number of decision trees* to be boosted
+ n_estimators: [100, 150, 200, 250] +- *max_depth* is the tree's maximum depth. Increasing it increases the model complexity
+ max_depth: [5, 6, 8, 9] +- *learning_rate* shrinks the weights to make the boosting process more conservative
+ learning_rate: [0.01, 0.1, 0.5] +- *gamma* specifies the minimum loss reduction required to make a split
+ gamma: [0, 1, 10] +- *percentage of columns* to be samples for each tree
+ colsample_bytree: [0.5, 0.7, 1] +- *reg_alpha* provides l1 regularization to the weight, higher values are more conservative
+ reg_alpha: [0.01, 0.1, 0.5] +- *reg_lambda* provides l2 regularization to the weight, higher values are more conservative
+ reg_lambda: [0.01, 0.1, 0.5] + +Best found estimator parameters are: +![best estimator params][image3] + +## Metrics +Few evaluation metrics are included:
+Precision, Recall, Fbeta, Confusion Matrix, Classification Report + +As evaluation plots given are:
+logloss diagram and ROC curve diagram with AUC value + +In general, the receiver operating characteristic (ROC) curve is a metric that is used to measure the performance of a classifier model. It depicts the true positive rate concerning the false positive ones. It also highlights the sensitivity of the classifier model. The area under the curve (AUC) is used for general binary classification problems. AUC will measure the whole two-dimensional area that is available under the entire ROC curve. A perfect model would have an AUC of 1, while a random model would have an AUC of 0.5.
+The AUC result of the GridSearchCV best estimator is: 0.93 + +![best xgb cls logloss][image4] + +![best xgb cls roc auc][image5] + +Validation results of the GridSearchCV best estimator are:
+![best xgb cls eval][image6] + +## Ethical Considerations +As ethical consideration topics regarding data, one insight is that the raw data have a bias towards men (twice as many men as women) and regarding race a bias towards white people mainly originally from the U.S., so, scaling activities are mandatory getting appropriate prediction results.
+No other human life, risk and harms and their needed risk mitigation strategies or fraught model use cases are detected. + +## Caveats and Recommendations +- Regarding the prediction task, the performance of the grid search cross validation approach is already improved compared to the one of the single instance, but still not the best. As future toDo, final tuning of the XGBoost Classifier via Hyperopt library is recommended. +- Additional, feature importance information of the final resulting XGBoost Classifier model is critical to understand the prediction process. As additional future toDo: usage of SHAP diagrams or simple xgb feature_importances_ parameter bar chart of the X_train columns from the GridSearchCV best model result for identifying which features are most relevant for the target variable. +- Last topic as future toDo is the usage of other classifier types and their evaluation compared to the XGBoost Classifier, even though it was often used by teams that won Kaggle competitions. diff --git a/models/.gitignore b/models/.gitignore new file mode 100644 index 0000000000..540fc7f982 --- /dev/null +++ b/models/.gitignore @@ -0,0 +1 @@ +/*_model.pkl diff --git a/models/final_col_transformer_artifact.pkl b/models/final_col_transformer_artifact.pkl new file mode 100644 index 0000000000..89e83788d9 Binary files /dev/null and b/models/final_col_transformer_artifact.pkl differ diff --git a/models/final_xgb_cls_artifact.pkl b/models/final_xgb_cls_artifact.pkl new file mode 100644 index 0000000000..3208514d26 Binary files /dev/null and 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new file mode 100644 index 0000000000..5ff3a5bab1 Binary files /dev/null and b/plots/salary_dist_hoursPerWeek-age-sex_plot.png differ diff --git a/plots/sex_dist_age-capitalGain-educationLevel_plot.png b/plots/sex_dist_age-capitalGain-educationLevel_plot.png new file mode 100644 index 0000000000..a30bcd5e76 Binary files /dev/null and b/plots/sex_dist_age-capitalGain-educationLevel_plot.png differ diff --git a/plots/sex_plot.png b/plots/sex_plot.png new file mode 100644 index 0000000000..bf82609afd Binary files /dev/null and b/plots/sex_plot.png differ diff --git a/plots/workclass_plot.png b/plots/workclass_plot.png new file mode 100644 index 0000000000..037c36fab7 Binary files /dev/null and b/plots/workclass_plot.png differ diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000..a22044b10c --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,10 @@ +# pyproject.toml +[build-system] +# These are packages required to build the project and pip uses it +# as a strong hint for what to use in isolated build environments +# for dependencies. +requires = [ + "setuptools>=64.0.0", # A version well past the Python 3.12 compatibility fixes + "wheel" +] +build-backend = "setuptools.build_meta" diff --git a/requirements.in b/requirements.in new file mode 100644 index 0000000000..d991da9188 --- /dev/null +++ b/requirements.in @@ -0,0 +1,29 @@ +# Top-level dependencies for the project. +# Run `pip-compile` to generate the locked requirements.txt file. + +# Core Application +fastapi==0.115.3 +uvicorn +gunicorn + +# Data Science +numpy==1.25.0 +pandas==2.0.3 +ydata-profiling +scikit-learn==1.3.0 +xgboost==1.7.6 + +# Tooling +dvc[all]==3.61.0 +flake8 +pytest +pytest-html + +# Utilities +requests + +# Security Pins - keep these strictly pinned +pillow>=10.3.0 +setuptools>=78.1.1 +fonttools>=4.43.0 +zipp>=3.19.1 diff --git a/requirements.txt b/requirements.txt new file mode 100644 index 0000000000..03be0c1ad8 --- /dev/null +++ b/requirements.txt @@ -0,0 +1,733 @@ +# +# This file is autogenerated by pip-compile with Python 3.11 +# by the following command: +# +# pip-compile requirements.in +# +adlfs==2024.12.0 + # via dvc-azure +aiobotocore[boto3]==2.23.2 + # via + # dvc-s3 + # s3fs +aiohappyeyeballs==2.6.1 + # via aiohttp +aiohttp==3.12.14 + # via + # adlfs + # aiobotocore + # aiohttp-retry + # aiooss2 + # fsspec + # gcsfs + # s3fs +aiohttp-retry==2.9.1 + # via + # dvc-http + # scmrepo +aioitertools==0.12.0 + # via aiobotocore +aiooss2==0.2.11 + # via ossfs +aiosignal==1.4.0 + # via aiohttp +aliyun-python-sdk-core==2.16.0 + # via + # aliyun-python-sdk-kms + # oss2 +aliyun-python-sdk-kms==2.16.5 + # via oss2 +amqp==5.3.1 + # via kombu +annotated-types==0.7.0 + # via pydantic +antlr4-python3-runtime==4.9.3 + # via + # hydra-core + # omegaconf +anyio==4.9.0 + # via + # httpx + # starlette +appdirs==1.4.4 + # via + # iterative-telemetry + # pydrive2 +argcomplete==3.6.2 + # via knack +asyncssh[bcrypt]==2.21.0 + # via + # scmrepo + # sshfs +atpublic==6.0.1 + # via flufl-lock +attrs==25.3.0 + # via + # aiohttp + # dvc + # dvc-data + # sqltrie + # visions +azure-core==1.35.0 + # via + # adlfs + # azure-identity + # azure-storage-blob +azure-datalake-store==0.0.53 + # via adlfs +azure-identity==1.23.1 + # via + # adlfs + # dvc-azure +azure-storage-blob==12.26.0 + # via adlfs +bcrypt==4.3.0 + # via asyncssh +billiard==4.2.1 + # via celery +boto3==1.39.8 + # via aiobotocore +botocore==1.39.8 + # via + # aiobotocore + # boto3 + # s3transfer +cachetools==5.5.2 + # via google-auth +celery==5.5.3 + # via + # dvc + # dvc-task +certifi==2025.7.14 + # via + # httpcore + # httpx + # requests +cffi==1.17.1 + # via + # azure-datalake-store + # cryptography + # pygit2 +charset-normalizer==3.4.2 + # via requests +click==8.2.1 + # via + # celery + # click-didyoumean + # click-plugins + # click-repl + # typer + # uvicorn +click-didyoumean==0.3.1 + # via celery +click-plugins==1.1.1.2 + # via celery +click-repl==0.3.0 + # via celery +colorama==0.4.6 + # via dvc +configobj==5.0.9 + # via dvc +contourpy==1.3.2 + # via matplotlib +crcmod==1.7 + # via oss2 +cryptography==43.0.3 + # via + # aliyun-python-sdk-core + # asyncssh + # azure-identity + # azure-storage-blob + # msal + # pydrive2 + # pyjwt + # pyopenssl +cycler==0.12.1 + # via matplotlib +dacite==1.9.2 + # via ydata-profiling +decorator==5.2.1 + # via gcsfs +dictdiffer==0.9.0 + # via dvc-data +diskcache==5.6.3 + # via dvc-data +distro==1.9.0 + # via + # dvc + # iterative-telemetry +dpath==2.2.0 + # via dvc +dulwich==0.23.2 + # via + # dvc + # dvc-studio-client + # scmrepo +dvc[all,azure,gdrive,gs,hdfs,oss,s3,ssh,webdav,webhdfs]==3.61.0 + # via + # -r requirements.in + # dvc-azure + # dvc-gdrive + # dvc-gs + # dvc-hdfs + # dvc-oss + # dvc-s3 + # dvc-ssh + # dvc-webdav + # dvc-webhdfs +dvc-azure==3.1.0 + # via dvc +dvc-data==3.16.10 + # via dvc +dvc-gdrive==3.0.1 + # via dvc +dvc-gs==3.0.2 + # via dvc +dvc-hdfs==3.0.0 + # via dvc +dvc-http==2.32.0 + # via dvc +dvc-objects==5.1.1 + # via + # dvc + # dvc-data +dvc-oss==3.0.0 + # via dvc +dvc-render==1.0.2 + # via dvc +dvc-s3==3.2.2 + # via dvc +dvc-ssh==4.2.1 + # via dvc +dvc-studio-client==0.21.0 + # via dvc +dvc-task==0.40.2 + # via dvc +dvc-webdav==3.0.0 + # via dvc +dvc-webhdfs==3.1.0 + # via dvc +entrypoints==0.4 + # via gto +fastapi==0.115.3 + # via -r requirements.in +filelock==3.18.0 + # via iterative-telemetry +flake8==7.3.0 + # via -r requirements.in +flatten-dict==0.4.2 + # via + # dvc + # dvc-s3 +flufl-lock==8.2.0 + # via dvc +fonttools==4.59.0 + # via + # -r requirements.in + # matplotlib +frozenlist==1.7.0 + # via + # aiohttp + # aiosignal +fsspec[arrow,http,tqdm]==2025.7.0 + # via + # adlfs + # dvc + # dvc-data + # dvc-hdfs + # dvc-http + # dvc-objects + # dvc-webhdfs + # gcsfs + # ossfs + # pydrive2 + # s3fs + # scmrepo + # sshfs +funcy==2.0 + # via + # dvc + # dvc-data + # dvc-objects + # dvc-task + # gto + # pydrive2 + # scmrepo +gcsfs==2025.7.0 + # via dvc-gs +gitdb==4.0.12 + # via gitpython +gitpython==3.1.45 + # via scmrepo +google-api-core==2.25.1 + # via + # google-api-python-client + # google-cloud-core + # google-cloud-storage +google-api-python-client==2.177.0 + # via pydrive2 +google-auth==2.40.3 + # via + # gcsfs + # google-api-core + # google-api-python-client + # google-auth-httplib2 + # google-auth-oauthlib + # google-cloud-core + # google-cloud-storage +google-auth-httplib2==0.2.0 + # via google-api-python-client +google-auth-oauthlib==1.2.2 + # via gcsfs +google-cloud-core==2.4.3 + # via google-cloud-storage +google-cloud-storage==3.2.0 + # via gcsfs +google-crc32c==1.7.1 + # via + # google-cloud-storage + # google-resumable-media +google-resumable-media==2.7.2 + # via google-cloud-storage +googleapis-common-protos==1.70.0 + # via google-api-core +grandalf==0.8 + # via dvc +gto==1.7.2 + # via dvc +gunicorn==23.0.0 + # via -r requirements.in +h11==0.16.0 + # via + # httpcore + # uvicorn +htmlmin==0.1.12 + # via ydata-profiling +httpcore==1.0.9 + # via httpx +httplib2==0.22.0 + # via + # google-api-python-client + # google-auth-httplib2 + # oauth2client +httpx==0.28.1 + # via webdav4 +hydra-core==1.3.2 + # via dvc +idna==3.10 + # via + # anyio + # httpx + # requests + # yarl +imagehash==4.3.1 + # via + # visions + # ydata-profiling +iniconfig==2.1.0 + # via pytest +isodate==0.7.2 + # via azure-storage-blob +iterative-telemetry==0.0.10 + # via dvc +jinja2==3.1.6 + # via + # pytest-html + # ydata-profiling +jmespath==0.10.0 + # via + # aiobotocore + # aliyun-python-sdk-core + # boto3 + # botocore + # knack +joblib==1.5.1 + # via + # phik + # scikit-learn +kiwisolver==1.4.8 + # via matplotlib +knack==0.12.0 + # via dvc-azure +kombu==5.5.4 + # via + # celery + # dvc + # dvc-task +llvmlite==0.44.0 + # via numba +markdown-it-py==3.0.0 + # via rich +markupsafe==3.0.2 + # via jinja2 +matplotlib==3.10.0 + # via + # phik + # seaborn + # wordcloud + # ydata-profiling +mccabe==0.7.0 + # via flake8 +mdurl==0.1.2 + # via markdown-it-py +msal==1.33.0 + # via + # azure-datalake-store + # azure-identity + # msal-extensions +msal-extensions==1.3.1 + # via azure-identity +multidict==6.6.3 + # via + # aiobotocore + # aiohttp + # yarl +multimethod==1.12 + # via + # visions + # ydata-profiling +networkx==3.5 + # via + # dvc + # visions +numba==0.61.0 + # via ydata-profiling +numpy==1.25.0 + # via + # -r requirements.in + # contourpy + # imagehash + # matplotlib + # numba + # pandas + # patsy + # phik + # pywavelets + # scikit-learn + # scipy + # seaborn + # statsmodels + # visions + # wordcloud + # xgboost + # ydata-profiling +oauth2client==4.1.3 + # via pydrive2 +oauthlib==3.3.1 + # via requests-oauthlib +omegaconf==2.3.0 + # via + # dvc + # hydra-core +orjson==3.11.1 + # via + # dvc-data + # sqltrie +oss2==2.18.4 + # via + # aiooss2 + # ossfs +ossfs==2025.5.0 + # via dvc-oss +packaging==25.0 + # via + # dvc + # gunicorn + # hydra-core + # knack + # kombu + # matplotlib + # pytest + # statsmodels +pandas==2.0.3 + # via + # -r requirements.in + # phik + # seaborn + # statsmodels + # visions + # ydata-profiling +pathspec==0.12.1 + # via + # dvc + # scmrepo +patsy==1.0.1 + # via statsmodels +phik==0.12.5 + # via ydata-profiling +pillow==11.3.0 + # via + # -r requirements.in + # imagehash + # matplotlib + # visions + # wordcloud +platformdirs==4.3.8 + # via dvc +pluggy==1.6.0 + # via pytest +prompt-toolkit==3.0.51 + # via click-repl +propcache==0.3.2 + # via + # aiohttp + # yarl +proto-plus==1.26.1 + # via google-api-core +protobuf==6.31.1 + # via + # google-api-core + # googleapis-common-protos + # proto-plus +psutil==7.0.0 + # via + # dvc + # flufl-lock +puremagic==1.30 + # via visions +pyarrow==21.0.0 + # via fsspec +pyasn1==0.6.1 + # via + # oauth2client + # pyasn1-modules + # rsa +pyasn1-modules==0.4.2 + # via + # google-auth + # oauth2client +pycodestyle==2.14.0 + # via flake8 +pycparser==2.22 + # via cffi +pycryptodome==3.23.0 + # via oss2 +pydantic==2.11.7 + # via + # fastapi + # gto + # ydata-profiling +pydantic-core==2.33.2 + # via pydantic +pydot==4.0.1 + # via dvc +pydrive2[fsspec]==1.21.3 + # via dvc-gdrive +pyflakes==3.4.0 + # via flake8 +pygit2==1.18.0 + # via scmrepo +pygments==2.19.2 + # via + # knack + # pytest + # rich +pygtrie==2.5.0 + # via + # dvc + # dvc-data + # scmrepo + # sqltrie +pyjwt[crypto]==2.10.1 + # via + # msal + # pyjwt +pyopenssl==24.2.1 + # via pydrive2 +pyparsing==3.2.3 + # via + # dvc + # grandalf + # httplib2 + # matplotlib + # pydot +pytest==8.4.1 + # via + # -r requirements.in + # pytest-html + # pytest-metadata +pytest-html==4.1.1 + # via -r requirements.in +pytest-metadata==3.1.1 + # via pytest-html +python-dateutil==2.9.0.post0 + # via + # aiobotocore + # botocore + # celery + # matplotlib + # pandas + # webdav4 +pytz==2025.2 + # via pandas +pywavelets==1.8.0 + # via imagehash +pyyaml==6.0.2 + # via + # knack + # omegaconf + # pydrive2 + # ydata-profiling +requests==2.32.4 + # via + # -r requirements.in + # azure-core + # azure-datalake-store + # dvc + # dvc-studio-client + # gcsfs + # google-api-core + # google-cloud-storage + # iterative-telemetry + # msal + # oss2 + # requests-oauthlib + # ydata-profiling +requests-oauthlib==2.0.0 + # via google-auth-oauthlib +rich==14.1.0 + # via + # dvc + # gto + # typer +rsa==4.9.1 + # via + # google-auth + # oauth2client +ruamel-yaml==0.18.14 + # via + # dvc + # gto +ruamel-yaml-clib==0.2.12 + # via ruamel-yaml +s3fs==2025.7.0 + # via dvc-s3 +s3transfer==0.13.1 + # via boto3 +scikit-learn==1.3.0 + # via -r requirements.in +scipy==1.15.3 + # via + # imagehash + # phik + # scikit-learn + # statsmodels + # xgboost + # ydata-profiling +scmrepo==3.4.0 + # via + # dvc + # gto +seaborn==0.13.2 + # via ydata-profiling +semver==3.0.4 + # via gto +shellingham==1.5.4 + # via typer +shortuuid==1.0.13 + # via + # dvc + # dvc-task +shtab==1.7.2 + # via dvc +six==1.17.0 + # via + # azure-core + # flatten-dict + # oauth2client + # oss2 + # python-dateutil +smmap==5.0.2 + # via gitdb +sniffio==1.3.1 + # via anyio +sqltrie==0.11.2 + # via dvc-data +sshfs[bcrypt]==2025.2.0 + # via dvc-ssh +starlette==0.41.3 + # via fastapi +statsmodels==0.14.5 + # via ydata-profiling +tabulate==0.9.0 + # via + # dvc + # gto + # knack +threadpoolctl==3.6.0 + # via scikit-learn +tomlkit==0.13.3 + # via dvc +tqdm==4.67.1 + # via + # dvc + # dvc-data + # fsspec + # pydrive2 + # scmrepo + # ydata-profiling +typeguard==4.4.4 + # via ydata-profiling +typer==0.16.0 + # via gto +typing-extensions==4.14.1 + # via + # aiosignal + # anyio + # asyncssh + # azure-core + # azure-identity + # azure-storage-blob + # fastapi + # pydantic + # pydantic-core + # typeguard + # typer + # typing-inspection +typing-inspection==0.4.1 + # via pydantic +tzdata==2025.2 + # via + # kombu + # pandas +uritemplate==4.2.0 + # via google-api-python-client +urllib3==2.5.0 + # via + # botocore + # dulwich + # requests +uvicorn==0.35.0 + # via -r requirements.in +vine==5.1.0 + # via + # amqp + # celery + # kombu +visions[type-image-path]==0.8.1 + # via ydata-profiling +voluptuous==0.15.2 + # via + # dvc + # dvc-studio-client +wcwidth==0.2.13 + # via prompt-toolkit +webdav4==0.10.0 + # via dvc-webdav +wordcloud==1.9.4 + # via ydata-profiling +wrapt==1.17.2 + # via aiobotocore +xgboost==1.7.6 + # via -r requirements.in +yarl==1.20.1 + # via aiohttp +ydata-profiling==4.16.1 + # via -r requirements.in +zc-lockfile==3.0.post1 + # via dvc +zipp==3.23.0 + # via -r requirements.in + +# The following packages are considered to be unsafe in a requirements file: +# setuptools diff --git a/sanitycheck.py b/sanitycheck.py new file mode 100644 index 0000000000..9ad7fa5a37 --- /dev/null +++ b/sanitycheck.py @@ -0,0 +1,140 @@ +#!/usr/bin/env -S python3 -i + +import argparse +import importlib +import inspect +import sys +import os +from os import path + +FAIL_COLOR = '\033[91m' +OK_COLOR = '\033[92m' +WARN_COLOR = '\033[93m' + + +def run_sanity_check(test_dir): + ''' Udacity file to check students test cases ''' + + assert path.isdir(test_dir), FAIL_COLOR+f"No directory named {test_dir} found in {os.getcwd()}" + print('This script will perform a sanity test to ensure your code meets the criteria in the rubric.\n') + print('Please enter the path to the file that contains your test cases for the GET() and POST() methods') + print('The path should be something like abc/def/test_xyz.py') + filepath = input('> ') + + assert path.exists(filepath), f"File {filepath} does not exist." + sys.path.append(path.dirname(filepath)) + + module_name = path.splitext(path.basename(filepath))[0] + module = importlib.import_module(module_name) + + test_function_names = list(filter( + lambda x: inspect.isfunction(getattr(module, x)) and not x.startswith('__'), dir(module))) + test_functions_for_get = list(filter( + lambda x: inspect.getsource(getattr(module, x)).find('.get(') != -1, test_function_names)) + test_functions_for_post = list(filter( + lambda x: inspect.getsource(getattr(module, x)).find('.post(') != -1, test_function_names)) + + print("\n============= Sanity Check Report ===========") + SANITY_TEST_PASSING = True + WARNING_COUNT = 1 + + # GET() + TEST_FOR_GET_METHOD_RESPONSE_CODE = False + TEST_FOR_GET_METHOD_RESPONSE_BODY = False + if not test_functions_for_get: + print(FAIL_COLOR + f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + "No test cases were detected for the GET() method.") + print(FAIL_COLOR + "\nPlease make sure you have a test case for the GET method.\ + This MUST test both the status code as well as the contents of the request object.\n") + SANITY_TEST_PASSING = False + else: + for func in test_functions_for_get: + source = inspect.getsource(getattr(module, func)) + if source.find('.status_code') != -1: + TEST_FOR_GET_METHOD_RESPONSE_CODE = True + if (source.find('.json') != -1) or (source.find('json.loads') != -1): + TEST_FOR_GET_METHOD_RESPONSE_BODY = True + + if not TEST_FOR_GET_METHOD_RESPONSE_CODE: + print(FAIL_COLOR + f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + + "Your test case for GET() does not seem to be testing the response code.\n") + + if not TEST_FOR_GET_METHOD_RESPONSE_BODY: + print(FAIL_COLOR + f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + + "Your test case for GET() does not seem to be testing the CONTENTS of the response.\n") + + # POST() + TEST_FOR_POST_METHOD_RESPONSE_CODE = False + TEST_FOR_POST_METHOD_RESPONSE_BODY = False + COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT = 0 + + if not test_functions_for_post: + print(FAIL_COLOR + f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + "No test cases were detected for the POST() method.") + print(FAIL_COLOR + "Please make sure you have TWO test cases for the POST() method." + + "\nOne test case for EACH of the possible inferences (results/outputs) of the ML model.\n") + SANITY_TEST_PASSING = False + else: + if len(test_functions_for_post) == 1: + print(f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + "Only one test case was detected for the POST() method.") + print(FAIL_COLOR + "Please make sure you have two test cases for the POST() method." + + "\nOne test case for EACH of the possible inferences (results/outputs) of the ML model.\n") + SANITY_TEST_PASSING = False + + for func in test_functions_for_post: + source = inspect.getsource(getattr(module, func)) + if source.find('.status_code') != -1: + TEST_FOR_POST_METHOD_RESPONSE_CODE = True + if (source.find('.json') != -1) or (source.find('json.loads') != -1): + TEST_FOR_POST_METHOD_RESPONSE_BODY = True + COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT += 1 + + if not TEST_FOR_POST_METHOD_RESPONSE_CODE: + print(FAIL_COLOR + f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + + "One or more of your test cases for POST() do not seem to be testing the response code.\n") + + if not TEST_FOR_POST_METHOD_RESPONSE_BODY: + print(FAIL_COLOR + f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + + "One or more of your test cases for POST() do not seem to be testing the contents of the response.\n") + + if len(test_functions_for_post) >= 2 and COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT < 2: + print(FAIL_COLOR + f"[{WARNING_COUNT}]") + WARNING_COUNT += 1 + print(FAIL_COLOR + "You do not seem to have TWO separate test cases, " + "one for each possible prediction that your model can make.") + + SANITY_TEST_PASSING = SANITY_TEST_PASSING and\ + TEST_FOR_GET_METHOD_RESPONSE_CODE and \ + TEST_FOR_GET_METHOD_RESPONSE_BODY and \ + TEST_FOR_POST_METHOD_RESPONSE_CODE and \ + TEST_FOR_POST_METHOD_RESPONSE_BODY and \ + COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT >= 2 + + if SANITY_TEST_PASSING: + print(OK_COLOR + "Your test cases look good!") + + print(WARN_COLOR + "This is a heuristic based sanity testing and cannot guarantee the correctness of your code.") + print(WARN_COLOR + "You should still check your work against the rubric to ensure you meet the criteria.") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser() + parser.add_argument('test_dir', + metavar='test_dir', + nargs='?', + default='tests', + help='Name of the directory that has test files.') + args = parser.parse_args() + run_sanity_check(args.test_dir) diff --git a/starter/data/.gitignore b/screenshots/.gitignore similarity index 100% rename from starter/data/.gitignore rename to screenshots/.gitignore diff --git a/screenshots/MLOps_proj3_FastAPI_docsGetRootWelcomeMsg.PNG b/screenshots/MLOps_proj3_FastAPI_docsGetRootWelcomeMsg.PNG new file mode 100644 index 0000000000..fcab1bd267 Binary files /dev/null and b/screenshots/MLOps_proj3_FastAPI_docsGetRootWelcomeMsg.PNG differ diff --git a/screenshots/MLOps_proj3_FastAPI_docsLandingPage.PNG b/screenshots/MLOps_proj3_FastAPI_docsLandingPage.PNG new file mode 100644 index 0000000000..14c1fc161e Binary files /dev/null and b/screenshots/MLOps_proj3_FastAPI_docsLandingPage.PNG differ diff --git 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file mode 100644 index 0000000000..e69de29bb2 diff --git a/src/2023-09-22_07-51_slice_output.txt b/src/2023-09-22_07-51_slice_output.txt new file mode 100644 index 0000000000..6815e133ca --- /dev/null +++ b/src/2023-09-22_07-51_slice_output.txt @@ -0,0 +1,335 @@ +Performance Evaluation Metrics of Categorical Census Features +_____________________________________________________________ + +workclass - Private: + Precision: 0.83, Recall: 0.66, Fbeta: 0.73 + Confusion Matrix: +[[2907 119] + [ 297 572]] + +workclass - Self-emp-not-inc: + Precision: 0.83, Recall: 0.57, Fbeta: 0.68 + Confusion Matrix: +[[358 16] + [ 58 77]] + +workclass - Local-gov: + Precision: 0.86, Recall: 0.73, Fbeta: 0.79 + Confusion Matrix: +[[303 14] + [ 32 88]] + +workclass - State-gov: + Precision: 0.83, Recall: 0.79, Fbeta: 0.81 + Confusion Matrix: +[[165 11] + [ 15 55]] + +workclass - Self-emp-inc: + Precision: 0.84, Recall: 0.84, Fbeta: 0.84 + Confusion Matrix: +[[ 72 20] + [ 20 108]] + +workclass - Other: + Precision: 0.79, Recall: 0.43, Fbeta: 0.56 + Confusion Matrix: +[[271 4] + [ 20 15]] + +workclass - Federal-gov: + Precision: 0.80, Recall: 0.59, Fbeta: 0.68 + Confusion Matrix: +[[98 13] + [35 51]] + +workclass - Never-worked: + Precision: 1.00, Recall: 1.00, Fbeta: 1.00 + Confusion Matrix: +[[2]] + +workclass - Without-pay: + Precision: 1.00, Recall: 1.00, Fbeta: 1.00 + Confusion Matrix: +[[2]] + +marital_status - Married-civ-spouse: + Precision: 0.82, Recall: 0.72, Fbeta: 0.77 + Confusion Matrix: +[[1263 188] + [ 338 869]] + +marital_status - Never-married: + Precision: 0.89, Recall: 0.46, Fbeta: 0.61 + Confusion Matrix: +[[1709 5] + [ 49 42]] + +marital_status - Separated: + Precision: 1.00, Recall: 0.60, Fbeta: 0.75 + Confusion Matrix: +[[208 0] + [ 2 3]] + +marital_status - Widowed: + Precision: 1.00, Recall: 0.14, Fbeta: 0.25 + Confusion Matrix: +[[183 0] + [ 12 2]] + +marital_status - Divorced: + Precision: 0.92, Recall: 0.39, Fbeta: 0.55 + Confusion Matrix: +[[724 4] + [ 68 44]] + +marital_status - Married-spouse-absent: + Precision: 1.00, Recall: 0.40, Fbeta: 0.57 + Confusion Matrix: +[[89 0] + [ 6 4]] + +marital_status - Married-AF-spouse: + Precision: 1.00, Recall: 0.50, Fbeta: 0.67 + Confusion Matrix: +[[2 0] + [2 2]] + +occupation - Adm-clerical: + Precision: 0.83, Recall: 0.45, Fbeta: 0.59 + Confusion Matrix: +[[579 10] + [ 58 48]] + +occupation - Sales: + Precision: 0.83, Recall: 0.61, Fbeta: 0.70 + Confusion Matrix: +[[425 21] + [ 65 102]] + +occupation - Machine-op-inspct: + Precision: 1.00, Recall: 0.39, Fbeta: 0.57 + Confusion Matrix: +[[289 0] + [ 23 15]] + +occupation - Priv-house-serv: + Precision: 1.00, Recall: 1.00, Fbeta: 1.00 + Confusion Matrix: +[[38]] + +occupation - Exec-managerial: + Precision: 0.83, Recall: 0.85, Fbeta: 0.84 + Confusion Matrix: +[[325 66] + [ 57 313]] + +occupation - Transport-moving: + Precision: 0.78, Recall: 0.30, Fbeta: 0.43 + Confusion Matrix: +[[222 5] + [ 43 18]] + +occupation - Farming-fishing: + Precision: 0.80, Recall: 0.27, Fbeta: 0.40 + Confusion Matrix: +[[184 1] + [ 11 4]] + +occupation - Other-service: + Precision: 1.00, Recall: 0.35, Fbeta: 0.52 + Confusion Matrix: +[[604 0] + [ 15 8]] + +occupation - Craft-repair: + Precision: 0.85, Recall: 0.46, Fbeta: 0.59 + Confusion Matrix: +[[475 12] + [ 82 69]] + +occupation - Tech-support: + Precision: 0.78, Recall: 0.69, Fbeta: 0.73 + Confusion Matrix: +[[120 11] + [ 18 40]] + +occupation - Handlers-cleaners: + Precision: 0.75, Recall: 0.16, Fbeta: 0.26 + Confusion Matrix: +[[210 1] + [ 16 3]] + +occupation - Prof-specialty: + Precision: 0.84, Recall: 0.85, Fbeta: 0.85 + Confusion Matrix: +[[350 59] + [ 53 306]] + +occupation - Protective-serv: + Precision: 0.78, Recall: 0.61, Fbeta: 0.68 + Confusion Matrix: +[[83 7] + [16 25]] + +occupation - Other: + Precision: 0.79, Recall: 0.43, Fbeta: 0.56 + Confusion Matrix: +[[273 4] + [ 20 15]] + +occupation - Armed-Forces: + Precision: 1.00, Recall: 1.00, Fbeta: 1.00 + Confusion Matrix: +[[1]] + +relationship - Husband: + Precision: 0.82, Recall: 0.73, Fbeta: 0.77 + Confusion Matrix: +[[1063 166] + [ 292 770]] + +relationship - Other-relative: + Precision: 1.00, Recall: 0.38, Fbeta: 0.55 + Confusion Matrix: +[[179 0] + [ 5 3]] + +relationship - Unmarried: + Precision: 0.94, Recall: 0.39, Fbeta: 0.55 + Confusion Matrix: +[[634 1] + [ 27 17]] + +relationship - Not-in-family: + Precision: 0.90, Recall: 0.41, Fbeta: 0.56 + Confusion Matrix: +[[1322 8] + [ 101 69]] + +relationship - Own-child: + Precision: 1.00, Recall: 0.50, Fbeta: 0.67 + Confusion Matrix: +[[814 0] + [ 9 9]] + +relationship - Wife: + Precision: 0.82, Recall: 0.70, Fbeta: 0.75 + Confusion Matrix: +[[166 22] + [ 43 98]] + +race - White: + Precision: 0.83, Recall: 0.67, Fbeta: 0.74 + Confusion Matrix: +[[3392 178] + [ 426 875]] + +race - Other: + Precision: 1.00, Recall: 0.50, Fbeta: 0.67 + Confusion Matrix: +[[40 0] + [ 2 2]] + +race - Black: + Precision: 0.83, Recall: 0.65, Fbeta: 0.73 + Confusion Matrix: +[[567 9] + [ 24 45]] + +race - Asian-Pac-Islander: + Precision: 0.80, Recall: 0.62, Fbeta: 0.70 + Confusion Matrix: +[[134 9] + [ 23 37]] + +race - Amer-Indian-Eskimo: + Precision: 0.88, Recall: 0.78, Fbeta: 0.82 + Confusion Matrix: +[[45 1] + [ 2 7]] + +mod_native_country - United-States: + Precision: 0.83, Recall: 0.67, Fbeta: 0.74 + Confusion Matrix: +[[3659 178] + [ 437 873]] + +mod_native_country - Mexico: + Precision: 1.00, Recall: 0.43, Fbeta: 0.60 + Confusion Matrix: +[[131 0] + [ 4 3]] + +mod_native_country - Central_America: + Precision: 1.00, Recall: 0.60, Fbeta: 0.75 + Confusion Matrix: +[[38 0] + [ 2 3]] + +mod_native_country - Other: + Precision: 0.69, Recall: 0.71, Fbeta: 0.70 + Confusion Matrix: +[[148 11] + [ 10 24]] + +mod_native_country - South_East_Asia: + Precision: 0.92, Recall: 0.65, Fbeta: 0.76 + Confusion Matrix: +[[41 1] + [ 6 11]] + +mod_native_country - North_West_South_Europe: + Precision: 0.80, Recall: 0.67, Fbeta: 0.73 + Confusion Matrix: +[[42 2] + [ 4 8]] + +mod_native_country - South_Middle_Asia: + Precision: 0.91, Recall: 0.67, Fbeta: 0.77 + Confusion Matrix: +[[14 1] + [ 5 10]] + +mod_native_country - South_America: + Precision: 1.00, Recall: 0.50, Fbeta: 0.67 + Confusion Matrix: +[[18 0] + [ 1 1]] + +mod_native_country - South_East_Europe: + Precision: 1.00, Recall: 1.00, Fbeta: 1.00 + Confusion Matrix: +[[11 0] + [ 0 5]] + +mod_native_country - China: + Precision: 1.00, Recall: 0.71, Fbeta: 0.83 + Confusion Matrix: +[[11 0] + [ 2 5]] + +mod_native_country - Japan: + Precision: 1.00, Recall: 0.80, Fbeta: 0.89 + Confusion Matrix: +[[8 0] + [1 4]] + +mod_native_country - Caribbean: + Precision: 0.89, Recall: 0.80, Fbeta: 0.84 + Confusion Matrix: +[[41 1] + [ 2 8]] + +mod_native_country - Canada: + Precision: 0.73, Recall: 0.73, Fbeta: 0.73 + Confusion Matrix: +[[11 3] + [ 3 8]] + +mod_native_country - Taiwan: + Precision: 1.00, Recall: 1.00, Fbeta: 1.00 + Confusion Matrix: +[[5 0] + [0 3]] + diff --git a/src/__init__.py b/src/__init__.py new file mode 100644 index 0000000000..a797f40b55 --- /dev/null +++ b/src/__init__.py @@ -0,0 +1,39 @@ +import logging +from logging import Formatter, NullHandler +from colorama import Fore, Style +from pkgutil import extend_path +__path__ = extend_path(__path__, __name__) +print(f'Invoking __init__.py for {__name__}') +print(f'src package: __path__ : {__path__}') + + +COLORS = {"DEBUG": Fore.BLUE, + "INFO": Fore.BLACK, + "WARNING": Fore.YELLOW, + "ERROR": Fore.RED, + "CRITICAL": Fore.MAGENTA} + + +class CustomColoredFormatter(Formatter): + def __init__(self, *, format, use_color): + ''' Initialise customized formatter class ''' + Formatter.__init__(self, fmt=format) + self.use_color = use_color + + def format(self, record): + ''' Sets message colour according log level ''' + msg = super().format(record) + if self.use_color: + levelname = record.levelname + if hasattr(record, "color"): + return f"{record.color}{msg}{Style.RESET_ALL}" + if levelname in COLORS: + return f"{COLORS[levelname]}{msg}{Style.RESET_ALL}" + return msg + + +logging.getLogger(__name__).addHandler(NullHandler()) + +__version__ = '0.1.0' +__author__ = 'Ilona Brinkmeier' +__license__ = 'MIT' diff --git a/src/app/__init__.py b/src/app/__init__.py new file mode 100644 index 0000000000..42c4dc70a4 --- /dev/null +++ b/src/app/__init__.py @@ -0,0 +1,32 @@ +# a user can manipulate/configure logger from project libraries like any other Python object + +import logging +from logging import Formatter, NullHandler +from colorama import Fore, Style + +COLORS = {"DEBUG": Fore.BLUE, + "INFO": Fore.BLACK, + "WARNING": Fore.YELLOW, + "ERROR": Fore.RED, + "CRITICAL": Fore.MAGENTA} + + +class CustomColoredFormatter(Formatter): + def __init__(self, *, format, use_color): + ''' Initialise customized formatter class ''' + Formatter.__init__(self, fmt=format) + self.use_color = use_color + + def format(self, record): + ''' Sets message colour according log level ''' + msg = super().format(record) + if self.use_color: + levelname = record.levelname + if hasattr(record, "color"): + return f"{record.color}{msg}{Style.RESET_ALL}" + if levelname in COLORS: + return f"{COLORS[levelname]}{msg}{Style.RESET_ALL}" + return msg + + +logging.getLogger(__name__).addHandler(NullHandler()) diff --git a/src/app/examples_request.yml b/src/app/examples_request.yml new file mode 100644 index 0000000000..b766a62d15 --- /dev/null +++ b/src/app/examples_request.yml @@ -0,0 +1,97 @@ +features_labels: + "age": "Person's age - numerical value (int)" + "workclass": "Person's work class - categorical value (str)" + "fnlgt": "Index information - numerical value (int), internally removed" + "education": "Person's education level - ordinal categorical value (str)" + "education_num": "Person's education level as number - numerical value (int)" + "marital_status": "Person's marital status - nominal categorical value (str)" + "occupation": "Person's occupation - nominal categorical value (str)" + "relationship": "Person's relationship - nominal categorical (str)" + "race": "Persons's race - nominal categorical value (str)" + "sex": "Person's sex - nominal categorical value (str), internally mapped to integer: 'Male': 0, 'Female': 1" + "capital_gain": "Person's capital gain - numerical value (int)" + "capital_loss": "Person's capital loss - numerical value (int)" + "hours_per_week": "Person's hours of work per week - numerical value (int)" + "native_country": "Persons's native country - nominal categorical value (str), internally mapped to specific bin group" +test_examples: + "Class <=50k (Label 0)": + "summary": "Person test example, income <=50k" + "description": "Person test example for model to predict income class of <=50k" + "value": + "age": 38 + "workclass": "Private" + "fnlgt": 215646 + "education": "HS-grad" + "education_num": 9 + "marital_status": "Divorced" + "occupation": "Handlers-cleaners" + "relationship": "Not-in-family" + "race": "White" + "sex": "Male" + "capital_gain": 0 + "capital_loss": 0 + "hours_per_week": 40 + "native_country": "United-States" + "Class >50k (Label 1)": + "summary": "Person test example, income >50k" + "description": "Person test example for model to predict income class of >50k" + "value": + "age": 31 + "workclass": "Private" + "fnlgt": 45781 + "education": "Masters" + "education_num": 14 + "marital_status": "Never-married" + "occupation": "Prof-specialty" + "relationship": "Not-in-family" + "race": "White" + "sex": "Female" + "capital_gain": 14084 + "capital_loss": 0 + "hours_per_week": 50 + "native_country": "United-States" + "Wrong feature value types str": + "summary": "Person test example with wrong value types as strings, success case of >50k" + "description": "Person test example for model to handle wrong values (education, hours_per_week numbers as string)" + "value": + "age": 31 + "workclass": "Private" + "fnlgt": 45781 + "education": "Masters" + "education_num": '14' + "marital_status": "Never-married" + "occupation": "Prof-specialty" + "relationship": "Not-in-family" + "race": "White" + "sex": "Female" + "capital_gain": 14084 + "capital_loss": 0 + "hours_per_week": '50' + "native_country": "United-States" + "Wrong feature value types int": + "summary": "Person test example with wrong value types as int, failure case" + "description": "Person test example for model to handle wrong values (workclass, relationship strings as int)" + "value": + "age": 31 + "workclass": 15 + "fnlgt": 45781 + "education": "Masters" + "education_num": 14 + "marital_status": "Never-married" + "occupation": "Prof-specialty" + "relationship": 3 + "race": "White" + "sex": "Female" + "capital_gain": 14084 + "capital_loss": 0 + "hours_per_week": 50 + "native_country": "United-States" + "Missing features": + "summary": "Person test example with missing values, failure case" + "description": "Person test example for model to handle missing feature values (starting with age)" + "value": + "fnlgt": 120478 + "education_num": 11 + "capital_gain": 0 + "capital_loss": 0 + "hours_per_week": 10 diff --git a/src/app/schemas.py b/src/app/schemas.py new file mode 100644 index 0000000000..e2af68bcae --- /dev/null +++ b/src/app/schemas.py @@ -0,0 +1,65 @@ +#!/usr/bin/env -S python3 -i + +""" +Script to handle the FastAPI schema code. + +author: Ilona Brinkmeier +date: 2023-09 + +update 2024-02: +For usage of Pydantic V2 as FastAPI dependency see: +https://docs.pydantic.dev/latest/concepts/json_schema/ +""" + +################### +# Imports +################### + +from pydantic import ConfigDict, BaseModel, Field +from enum import Enum + + +################### +# Coding +################### + +def hyphen_to_underscore(field_name): + ''' Replaces hyphen with underscore ''' + return f"{field_name}".replace("-", "_") + + +class FeatureLabels(str, Enum): + ''' Delivers the feature names as needed in Python ''' + age = "age" + workclass = "workclass" + fnlgt = "fnlgt" + education = "education" + education_num = "education_num" + marital_status = "marital_status" + occupation = "occupation" + relationship = "relationship" + race = "race" + sex = "sex" + captial_gain = "capital_gain" + captial_loss = "capital_loss" + hours_per_week = "hours_per_week" + native_country = "native_country" + + +class Person(BaseModel): + ''' Delivers the column label handling for feature attributes ''' + age: int = Field(..., examples=[45]) + capital_gain: int = Field(..., examples=[2174]) + capital_loss: int = Field(..., examples=[0]) + education: str = Field(..., examples=["Bachelors"]) + education_num: int = Field(..., examples=[13]) + fnlgt: int = Field(..., examples=[2334]) + hours_per_week: int = Field(..., examples=[60]) + marital_status: str = Field(..., examples=["Never-married"]) + native_country: str = Field(..., examples=["Cuba"]) + occupation: str = Field(..., examples=["Prof-specialty"]) + race: str = Field(..., examples=["Black"]) + relationship: str = Field(..., examples=["Wife"]) + sex: str = Field(..., examples=["Female"]) + workclass: str = Field(..., examples=["State-gov"]) + model_config = ConfigDict(alias_generator=hyphen_to_underscore, populate_by_name=True) diff --git a/src/config/.gitignore b/src/config/.gitignore new file mode 100644 index 0000000000..e69de29bb2 diff --git a/src/config/__init__.py b/src/config/__init__.py new file mode 100644 index 0000000000..9205455f18 --- /dev/null +++ b/src/config/__init__.py @@ -0,0 +1,37 @@ +# a user can manipulate configuration from project libraries like any other Python object + +import logging +from logging import Formatter, NullHandler +from colorama import Fore, Style +from src.config.config import get_config, get_data_path, get_models_path, get_project_root_path + + +print(f'Invoking __init__.py for {__name__}') + +COLORS = {"DEBUG": Fore.BLUE, + "INFO": Fore.BLACK, + "WARNING": Fore.YELLOW, + "ERROR": Fore.RED, + "CRITICAL": Fore.MAGENTA} + + +class CustomColoredFormatter(Formatter): + def __init__(self, *, format, use_color): + ''' Initialise customized formatter class ''' + Formatter.__init__(self, fmt=format) + self.use_color = use_color + + def format(self, record): + ''' Sets message colour according log level ''' + msg = super().format(record) + if self.use_color: + levelname = record.levelname + if hasattr(record, "color"): + return f"{record.color}{msg}{Style.RESET_ALL}" + if levelname in COLORS: + return f"{COLORS[levelname]}{msg}{Style.RESET_ALL}" + return msg + + +logging.getLogger(__name__).addHandler(NullHandler()) +config_dict = {} diff --git a/src/config/config.py b/src/config/config.py new file mode 100644 index 0000000000..18057ae578 --- /dev/null +++ b/src/config/config.py @@ -0,0 +1,75 @@ +#!/usr/bin/env -S python3 -i + +""" +Script to handle configuration settings used in the ML pipeline. +author: Ilona Brinkmeier +date: 2023-09 +""" + +################### +# Imports +################### +import logging +import yaml +import os +import sys + +################### +# Coding +################### + +# get logging properties +# info see: https://realpython.com/python-logging-source-code/ +logger = logging.getLogger(__name__) + + +def get_project_root_path(): + ''' Returns the absolute path to projects root. ''' + return os.getcwd() + + +def create_config(): + ''' Reads in config file. ''' + ROOT = get_project_root_path() + CONFIG_PATH = 'src/config/config.yml' + # add "src" dir, source code and config is there + CONFIG_FILE = os.path.join(ROOT, CONFIG_PATH) + if os.path.exists(CONFIG_FILE): + with open(CONFIG_FILE, 'r') as f: + try: + config_dict = yaml.safe_load(f.read()) + logger.info('Configuration yml file content is:\n %s', config_dict) + return config_dict + except yaml.YAMLError: + logger.exception("Exit: Error parsing config.yml in config.__init__.py.") + sys.exit(1) + else: + logger.exception("Exit: Configuration file does not exist on path: %s", CONFIG_FILE) + sys.exit(1) + + +def get_config(): + ''' Returns dictionary about project configuration. ''' + # future toDo: create config class with _init_ to have config file once + config_dict = create_config() + return config_dict + + +def get_data_path(): + ''' Returns the data directory path. ''' + ROOT = get_project_root_path() + logger.info('config.py: ROOT: %s for data storage dir', ROOT) + config_dict = get_config() + data_path = os.path.join(ROOT, config_dict['etl']['data_path']) + logger.info("config data_path: %s", data_path) + return data_path + + +def get_models_path(): + ''' Returns the models directory path. ''' + ROOT = get_project_root_path() + logger.info('config.py: ROOT: %s for models storage dir', ROOT) + config_dict = get_config() + models_path = os.path.join(ROOT, config_dict['model']['models_path']) + logger.info("config models_path: %s", models_path) + return models_path diff --git a/src/config/config.yml b/src/config/config.yml new file mode 100644 index 0000000000..c2137f2bc9 --- /dev/null +++ b/src/config/config.yml @@ -0,0 +1,170 @@ +main: + project_name: census-project + +logging: + version: 1 + disable_existing_loggers: False + + formatters: + simple: + format: '%(asctime)s - %(name)s - %(levelname)s - %(message)s' + datefmt: '%Y-%m-%d %H:%M:%S' + color: + format: "%(asctime)s - %(threadName)s - %(name)s - %(levelname)s - %(message)s - %(lineno)s" + (): __init__.CustomColoredFormatter + use_color: true + + handlers: + console: + class: logging.StreamHandler + level: DEBUG + formatter: color + stream: ext://sys.stdout + + file: + class: logging.FileHandler + level: INFO + formatter: simple + filename: 'logs/census_app.log' + + loggers: + development: + level: DEBUG + handlers: [console] + propagate: no + + staging: + level: INFO + handlers: [console, file] + propagate: no + + production: + level: WARNING + handlers: [file] + propagate: no + + root: + level: DEBUG + handlers: [console] + +etl: + data_path: 'data' + orig_census: "census.csv" + preproc_census: "preproc_census.csv" + orig_census_dvc_url: "data/census.csv" + preproc_census_dvc_url: "data/preproc_census.csv" + test_data_orig_census: "tests/df_test_1500raw.csv" + fnlgt_range: range(0, 1550000, 50000) + non_converting_countries: ['Canada', 'United-States', 'Mexico', 'Hongkong', 'China', + 'Japan', 'Taiwan', 'Russia', 'Outlying-US'] + north_west_south_europe: ['Denmark', 'Estonia', 'Esthonia', 'Finland', 'Iceland', 'Latvia', + 'Lithuania', 'Norway', 'Sweden', 'Belgium', 'France', + 'Ireland', 'Eire', 'Liechtenstein', 'Luxembourg', 'Luxemburg', + 'Netherland', 'Austria', 'Switzerland', 'United-Kingdom', + 'Andorra', 'Italy', 'Malta', 'Monaco', 'Portugal', 'San-Marino', + 'Slovenia', 'Spain', 'Vatican-City', 'Germany', + 'ex-German-Democratic-Republic', 'ex-GDR'] + south_east_europe: ['Moldavia', 'Moldova', 'Poland', 'Slovakia', 'Czechia', 'Czech-Republic', + 'Ukraine', 'Hungary', 'Belarus', 'Belorussia', 'Byelorussia', 'Albania', + 'Bosnia-Herzegovina', 'Bosnia-and-Herzegovina', 'Bosnia&Herzegovina', + 'Bulgaria', 'Greece', 'Kosovo', 'Croatia', 'Macedonia', 'Montenegro', + 'Romania', 'Rumania', 'Serbia', 'Cybrus', 'ex-Yugoslavia'] + caribbean: ['Antigua-and-Barbuda', 'Bahamas', 'Barbados', 'Cuba', 'Dominica', + 'Dominican-Republic', 'Grenada', 'Haiti', 'Jamaica', 'Saint-Christopher-and-Nevis', + 'Saint-Christopher&Nevis', 'Saint-Lucia', 'Saint-Vincent-and-the-Grenadines', + 'Saint-Vincent&the-Grenadines', 'Trinidad-and-Tobago','Trinidad&Tobago', ] + central_america: ['Belize', 'Guatemala', 'Honduras', 'Costa-Rica', 'Nicaragua', 'Panama', + 'Salvador', 'El-Salvador'] + south_america: ['Argentina', 'Bolivia', 'Brazil', 'Chile', 'Ecuador', 'Guyana', 'Columbia', + 'Paraguay', 'Peru', 'Surinam', 'Suriname', 'Uruguay', 'Venezuela'] + australia: ['Australia', 'New-Zealand'] + south_east_asia: ['Brunei', 'Indonesia', 'Cambodia', 'Laos', 'Malaysia', 'Myanmar', 'ex-Burma', + 'ex-Birma', 'East-Timor', 'Philippines', 'Singapore', 'Thailand', 'Vietnam', + 'Viet-Nam'] + south_middle_asia: ['Afghanistan', 'Bangladesh', 'Bhutan', 'India', 'Iran', 'Kasakhstan', + 'Kasakhstan', 'Kyrgyzstan', 'Maldives', 'Nepal', 'Pakistan', 'Sri-Lanka', + 'Tajikistan', 'Turkmenistan', 'Uzbekistan'] + east_asia: ['China', 'Japan', 'North-Korea', 'South-Korea', 'Mongolia', 'Taiwan'] + +eda: + eda_path: "src/eda" + plots_path: "plots" + orig_report_title: "US Census Profiling Report - original data" + orig_census_report: "eda_census_orig_report.html" + preproc_report_title: "US Census Profiling Report - modified, encoded final data" + preproc_census_report: "eda_census_preproc_report.html" + +model: + # slice performance output file + slice_output_file: 'slice_output.txt' + # directory to store the model files + models_path: 'models' + # ColumnTransformer artifact + col_transformer: 'final_col_transformer_artifact.pkl' + # name of final xgb classifier artifact + final_xgb_artifact: 'final_xgb_cls_artifact.pkl' + # target label for supervised learning classification, used for stratification after preproc + training_target: "salary" + # fraction of data to use for test (the remaining will be used for train and validation) + test_size: 0.2 + # fraction of remaining data to use for validation + val_size: 0.2 + # fix this for reproducibility, change to have new splits + random_seed: 42 + # here -1 means all available cores + n_jobs: -1 + # cross validation sequence + cv: 5 + # log verbosity, 0 (silent), 1 (warning), 2 (info), 3 (debug) + verbose: 1 + # if necessary, define own scoring setting + scoring: None + # early stopping for XGB + early_stopping_rounds: 30 + # NOTE: you can put here any parameter that is accepted by the constructor of + # RandomForestClassifier. This is a subsample, but more could be added: + random_forest: + n_estimators: 100 + max_depth: 15 + min_samples_split: 4 + min_samples_leaf: 3 + criterion: "gini" + max_features: "sqrt" + # DO not change the following, see: + # https://www.geeksforgeeks.org/oob-errors-for-random-forests-in-scikit-learn/ + oob_score: true + output_artifact: "rf_cls_model.pkl" + # NOTE: you can put here any parameter that is accepted by the constructor of + # XGBoostClassifier: see: https://xgboost.readthedocs.io/en/stable/parameter.html + # this is a subsample, but more could be added: + xgb_cls: + objective: "binary:logistic" + eval_metric: ["error", "logloss"] + n_estimators: 100 + max_depth: 6 + min_child_weight: 1 + subsample: 1 + colsample_bytree: 1 + learning_rate: 0.3 + output_artifact: "xgb_cls_model.pkl" + xgb_cls_cv: + # for our binary classification, output probability + objective: ["binary:logistic"] + # evaluation metrics used e.g. for model plots of best estimator + eval_metric: ["error", "logloss"] + # specifies the number of decision trees to be boosted + n_estimators: [100, 150, 200, 250] + # max_depth is the tree's maximum depth. Increasing it increases the model complexity + max_depth: [5, 6, 8, 9] #,12] + # learning_rate shrinks the weights to make the boosting process more conservative + learning_rate: [0.01, 0.1, 0.5] + # gamma specifies the minimum loss reduction required to make a split + gamma: [0, 1, 10] + # percentage of columns to be samples for each tree + colsample_bytree: [0.5, 0.7, 1] + # reg_alpha provides l1 regularization to the weight, higher values are more conservative + reg_alpha: [0.01, 0.1, 0.5] + # reg_lambda provides l2 regularization to the weight, higher values are more conservative + reg_lambda: [0.01, 0.1, 0.5] + output_artifact: "xgb_cls_cv_model.pkl" + \ No newline at end of file diff --git a/src/eda/__init__.py b/src/eda/__init__.py new file mode 100644 index 0000000000..42c4dc70a4 --- /dev/null +++ b/src/eda/__init__.py @@ -0,0 +1,32 @@ +# a user can manipulate/configure logger from project libraries like any other Python object + +import logging +from logging import Formatter, NullHandler +from colorama import Fore, Style + +COLORS = {"DEBUG": Fore.BLUE, + "INFO": Fore.BLACK, + "WARNING": Fore.YELLOW, + "ERROR": Fore.RED, + "CRITICAL": Fore.MAGENTA} + + +class CustomColoredFormatter(Formatter): + def __init__(self, *, format, use_color): + ''' Initialise customized formatter class ''' + Formatter.__init__(self, fmt=format) + self.use_color = use_color + + def format(self, record): + ''' Sets message colour according log level ''' + msg = super().format(record) + if self.use_color: + levelname = record.levelname + if hasattr(record, "color"): + return f"{record.color}{msg}{Style.RESET_ALL}" + if levelname in COLORS: + return f"{COLORS[levelname]}{msg}{Style.RESET_ALL}" + return msg + + +logging.getLogger(__name__).addHandler(NullHandler()) diff --git a/src/eda/eda.ipynb b/src/eda/eda.ipynb new file mode 100644 index 0000000000..e35a9e98d2 --- /dev/null +++ b/src/eda/eda.ipynb @@ -0,0 +1,4775 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2153a8d0-86a4-4593-a2e8-3d46e6f327ee", + "metadata": {}, + "source": [ + "# Exploratory Data Analysis of US Census Data\n", + "\n", + "## Table of Content\n", + "This notebook includes the ETL pipeline creation topic, the cleaned census dataset is stored again in the data directory. The identified actions are used to create pipelines for feature engineering of the different feature types which are needed in the production phase. The goal of the ML task is the **prediction/inference of the salary group** of future people being _<=50K_ or _>50K_. This could be important e.g. for tax questions like the amount of expected tax revenue and its usage for public activities.\n", + "\n", + "It is a simple prediction task, because main project focus are MLOps workflows and its tooling. The ML training implementation is stored in the training directory. During this EDA we can get insights for the ML implementation.\n", + "\n", + "Furthermore, this notebook shall be used for pre-production only, not used in post-production. There the pipelines and app files are in common use.\n", + "\n", + "**Part 1: ETL (Explore-Transform-Load):**
\n", + "* [1. Data Wrangling](#1.) - with import libraries, gather datasets and first cleaning activities\n", + "* [2. EDA](#2.) - with data exploration including statistics and visualisations, starting general feature engineering\n", + "* [3. Further Feature Engineering](#3.) - additional feature preparation necessary for our classification task of the US census data\n", + "* [4. Load](#4.) - we store the modified dataset as _preproc_census.csv_ file, but not as such file type in the associated GitHub repository. There dvc is used for versioning." + ] + }, + { + "cell_type": "markdown", + "id": "6ec2daf7-0306-4d25-a379-2e4c8cf137e5", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Part 1: ETL\n", + "\n", + "\n", + "### 1. Data Wrangling\n", + "In this section of the project, after libraries import, logging concept is set, the dataset is loaded, a brief overview of the data structure is given and its general properties are checked." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "90e2f42d-e31c-43ab-87b9-4de1f4aa5432", + "metadata": {}, + "outputs": [], + "source": [ + "#\n", + "# imports\n", + "#\n", + "import re\n", + "import sys\n", + "import os\n", + "import numpy as np\n", + "import pandas as pd\n", + "import logging\n", + "import logging.config\n", + "import yaml\n", + "import pylab\n", + "import scipy.stats as stats\n", + "from scipy.stats import normaltest\n", + "from ydata_profiling import ProfileReport\n", + "from pathlib import Path\n", + "\n", + "# for visualisations\n", + "from IPython.display import display # Allows use of display() for DataFrames\n", + "import seaborn as sns\n", + "sns.set_theme(style=\"ticks\")\n", + "sns.set_style(\"whitegrid\")\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.ticker import NullLocator, ScalarFormatter\n", + "# plotted graphics appear in the notebook just after current cell:\n", + "%matplotlib inline \n", + "\n", + "# suppress matplotlib user warnings\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\", \n", + " category = Warning,\n", + " module = \"matplotlib\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "7684e631-d584-4ef6-9138-9fba0367b121", + "metadata": {}, + "outputs": [], + "source": [ + "# \n", + "# config file\n", + "#\n", + "CONFIG_FILE = '../config/config.yml'" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f0f17a0d-39d3-46d4-bd0c-005aed24ae92", + "metadata": {}, + "outputs": [], + "source": [ + "# read config file and set logging properties for this eda notebook\n", + "with open(CONFIG_FILE, 'r') as f:\n", + " try:\n", + " config = yaml.safe_load(f.read())\n", + " except yaml.YAMLError as exc:\n", + " print(f'Cannot create config file for eda notebook: {exc}')\n", + "\n", + "# get logger directly (we use staging, knowing that file&console concepts work)\n", + "try:\n", + " logging.config.dictConfig(config['logging'])\n", + " logger = logging.getLogger('staging') \n", + "except yaml.YAMLError as exc:\n", + " print(f'Cannot creat logger for eda notebook: {exc}')\n", + "\n", + "# get rid of matplotlib messages\n", + "logging.getLogger('matplotlib.font_manager').disabled = True\n", + "logging.getLogger('matplotlib.category').disabled = True" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "635bed89-edda-48dd-aa43-a7ccda731d14", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/ilona/miniconda3/lib/python3.10/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.\n", + " warnings.warn(\"Setuptools is replacing distutils.\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[30m2023-09-02 17:15:42,770 - MainThread - staging - INFO - installed system versions from eda notebook: None - 4\u001b[0m\n" + ] + } + ], + "source": [ + "# If necessary during coding: \n", + "# which kind of pandas and other libs are we using?\n", + "# what kind of encoding exists\n", + "logger.info(f\"installed system versions from eda notebook: \\\n", + " {pd.show_versions(str(config['logging']['handlers']['file']['filename']))}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "920d94f4-e8ec-4839-b857-5fdfdca73fcf", + "metadata": {}, + "outputs": [], + "source": [ + "# for writing much nicer print strings in this notebook use escape code\n", + "def esc(code):\n", + " '''\n", + " Returns the string visualisation code formatting with proper start and ending. \n", + " Some configuration examples for foreground character formatting are:\n", + " - HEADER = '\\033[95m'\n", + " - BLUE = '\\033[34m'\n", + " - RED = '\\033[91m'\n", + " - GREEN = '\\033[92m'\n", + " - YELLOW = '\\033[93m'\n", + " - BLUE = '\\033[94m'\n", + " - PURPLE = '\\033[95m'\n", + " - CYAN = '\\033[96m'\n", + " - LIGHTGREY = '\\033[97m'\n", + " - BLACK = '\\033[98m' default colour setting\n", + " - WARNING = '\\033[93m'\n", + " - FAIL = '\\033[91m'\n", + " - END = '\\033[0m'\n", + " - BOLD = '\\033[1m'\n", + " - UNDERLINE = '\\033[4m'\n", + " '''\n", + " return f'\\033[{code}m'" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e1a9a9d4-dc36-473f-b612-9c04bfd5d5c9", + "metadata": {}, + "outputs": [], + "source": [ + "def get_project_root_path():\n", + " ''' Returns the absolute path to projects root. '''\n", + " return os.path.abspath(os.path.join(os.path.dirname('eda.ipynb'), \"..\", \"..\")) " + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "b3254c94-a1f9-4304-ba52-0acdffe3b944", + "metadata": {}, + "outputs": [], + "source": [ + "def get_data_path():\n", + " ''' Returns the data directory path. '''\n", + " MAIN_DIR = get_project_root_path()\n", + " logger.info(f'eda.ipynb: MAIN_DIR file .parent.parent.absolute(): {MAIN_DIR}')\n", + " return os.path.join(MAIN_DIR, config['etl']['data_path'])" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f731adbe-69d3-4a8b-83f5-a9a4e43a94c7", + "metadata": {}, + "outputs": [], + "source": [ + "def get_eda_path():\n", + " ''' Returns the src/eda directory path. '''\n", + " MAIN_DIR = get_project_root_path()\n", + " return os.path.join(MAIN_DIR, config['eda']['eda_path'])" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "edd6e2ab-3b5e-49d7-8d95-017fdc2dd611", + "metadata": {}, + "outputs": [], + "source": [ + "def get_plots_path():\n", + " ''' Returns the plots directory path for created diagrams. '''\n", + " MAIN_DIR = get_project_root_path()\n", + " return os.path.join(MAIN_DIR, config['eda']['plots_path'])" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "554637cf-2868-4261-8c02-379c5ba3c2a3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "eda notebook is in:\n", + "__package__ : None\n", + "\u001b[30m2023-09-02 17:15:42,822 - MainThread - staging - INFO - eda.ipynb: MAIN_DIR file .parent.parent.absolute(): /home/ilona/MLOps/US_CensusData_Classifier_PipelineWithDeployment - 4\u001b[0m\n", + "\u001b[30m2023-09-02 17:15:42,823 - MainThread - staging - INFO - original data file for eda notebook: /home/ilona/MLOps/US_CensusData_Classifier_PipelineWithDeployment/data/census.csv - 6\u001b[0m\n", + "\u001b[30m2023-09-02 17:15:42,914 - MainThread - staging - INFO - 'US census' orig dataset has 32561 samples with 15 features each - 8\u001b[0m\n" + ] + } + ], + "source": [ + "# get original US census data csv filen (comma separator)\n", + "try:\n", + " print('eda notebook is in:')\n", + " print(f'__package__ : {__package__}')\n", + " orig_file_str = os.path.join(get_data_path(), config['etl']['orig_census'])\n", + " logger.info(f'original data file for eda notebook: {orig_file_str}')\n", + " df_census_orig = pd.read_csv(orig_file_str)\n", + " logger.info(\"'US census' orig dataset has {} samples with {} features each\".\\\n", + " format(*df_census_orig.shape))\n", + "except Exception:\n", + " logger.exception(\"US census orig dataset could not be loaded. Is it missing?\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "193ab7d7-d796-4fe3-9ce0-b4b31383fe8d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 32561 entries, 0 to 32560\n", + "Data columns (total 15 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 32561 non-null int64 \n", + " 1 workclass 32561 non-null object\n", + " 2 fnlgt 32561 non-null int64 \n", + " 3 education 32561 non-null object\n", + " 4 education-num 32561 non-null int64 \n", + " 5 marital-status 32561 non-null object\n", + " 6 occupation 32561 non-null object\n", + " 7 relationship 32561 non-null object\n", + " 8 race 32561 non-null object\n", + " 9 sex 32561 non-null object\n", + " 10 capital-gain 32561 non-null int64 \n", + " 11 capital-loss 32561 non-null int64 \n", + " 12 hours-per-week 32561 non-null int64 \n", + " 13 native-country 32561 non-null object\n", + " 14 salary 32561 non-null object\n", + "dtypes: int64(6), object(9)\n", + "memory usage: 3.7+ MB\n" + ] + } + ], + "source": [ + "df_census_orig.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4a58f1e5-2222-49f0-9949-5f5667eae2ae", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "data types: [dtype('int64') dtype('O')]\n" + ] + } + ], + "source": [ + "print(f'data types: {df_census_orig.dtypes.unique()}')" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "3297775e-7750-4fc5-adaa-58215960927e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "sum of null values for each feature:\n", + "age 0\n", + " workclass 0\n", + " fnlgt 0\n", + " education 0\n", + " education-num 0\n", + " marital-status 0\n", + " occupation 0\n", + " relationship 0\n", + " race 0\n", + " sex 0\n", + " capital-gain 0\n", + " capital-loss 0\n", + " hours-per-week 0\n", + " native-country 0\n", + " salary 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "print(f'sum of null values for each feature:\\n{df_census_orig.isnull().sum()}')" + ] + }, + { + "cell_type": "markdown", + "id": "96b5f442-6942-4435-9fed-6b413e0cbdf8", + "metadata": {}, + "source": [ + "**Note:** No null values exists for each column. All have 32561 entries." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0536890b-cba4-4733-bfd9-6cb6d799d216", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "duplicates: 24\n" + ] + } + ], + "source": [ + "print(f'duplicates: {df_census_orig.duplicated().sum()}')" + ] + }, + { + "cell_type": "markdown", + "id": "4641eedf-3e9e-4939-ae1e-63d5234cff3b", + "metadata": {}, + "source": [ + "**Note:** There are 24 duplicate rows, we have to remove them and do that in the EDA part of this notebook." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "5dbfe59d-8b84-440b-b909-5dcc8df9a265", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ageworkclassfnlgteducationeducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-countrysalary
039State-gov77516Bachelors13Never-marriedAdm-clericalNot-in-familyWhiteMale2174040United-States<=50K
150Self-emp-not-inc83311Bachelors13Married-civ-spouseExec-managerialHusbandWhiteMale0013United-States<=50K
238Private215646HS-grad9DivorcedHandlers-cleanersNot-in-familyWhiteMale0040United-States<=50K
353Private23472111th7Married-civ-spouseHandlers-cleanersHusbandBlackMale0040United-States<=50K
428Private338409Bachelors13Married-civ-spouseProf-specialtyWifeBlackFemale0040Cuba<=50K
537Private284582Masters14Married-civ-spouseExec-managerialWifeWhiteFemale0040United-States<=50K
649Private1601879th5Married-spouse-absentOther-serviceNot-in-familyBlackFemale0016Jamaica<=50K
752Self-emp-not-inc209642HS-grad9Married-civ-spouseExec-managerialHusbandWhiteMale0045United-States>50K
831Private45781Masters14Never-marriedProf-specialtyNot-in-familyWhiteFemale14084050United-States>50K
942Private159449Bachelors13Married-civ-spouseExec-managerialHusbandWhiteMale5178040United-States>50K
\n", + "
" + ], + "text/plain": [ + " age workclass fnlgt education education-num \\\n", + "0 39 State-gov 77516 Bachelors 13 \n", + "1 50 Self-emp-not-inc 83311 Bachelors 13 \n", + "2 38 Private 215646 HS-grad 9 \n", + "3 53 Private 234721 11th 7 \n", + "4 28 Private 338409 Bachelors 13 \n", + "5 37 Private 284582 Masters 14 \n", + "6 49 Private 160187 9th 5 \n", + "7 52 Self-emp-not-inc 209642 HS-grad 9 \n", + "8 31 Private 45781 Masters 14 \n", + "9 42 Private 159449 Bachelors 13 \n", + "\n", + " marital-status occupation relationship race \\\n", + "0 Never-married Adm-clerical Not-in-family White \n", + "1 Married-civ-spouse Exec-managerial Husband White \n", + "2 Divorced Handlers-cleaners Not-in-family White \n", + "3 Married-civ-spouse Handlers-cleaners Husband Black \n", + "4 Married-civ-spouse Prof-specialty Wife Black \n", + "5 Married-civ-spouse Exec-managerial Wife White \n", + "6 Married-spouse-absent Other-service Not-in-family Black \n", + "7 Married-civ-spouse Exec-managerial Husband White \n", + "8 Never-married Prof-specialty Not-in-family White \n", + "9 Married-civ-spouse Exec-managerial Husband White \n", + "\n", + " sex capital-gain capital-loss hours-per-week native-country \\\n", + "0 Male 2174 0 40 United-States \n", + "1 Male 0 0 13 United-States \n", + "2 Male 0 0 40 United-States \n", + "3 Male 0 0 40 United-States \n", + "4 Female 0 0 40 Cuba \n", + "5 Female 0 0 40 United-States \n", + "6 Female 0 0 16 Jamaica \n", + "7 Male 0 0 45 United-States \n", + "8 Female 14084 0 50 United-States \n", + "9 Male 5178 0 40 United-States \n", + "\n", + " salary \n", + "0 <=50K \n", + "1 <=50K \n", + "2 <=50K \n", + "3 <=50K \n", + "4 <=50K \n", + "5 <=50K \n", + "6 <=50K \n", + "7 >50K \n", + "8 >50K \n", + "9 >50K " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_census_orig.head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "46cab4ca-65b8-40b3-bf9f-2d94044221db", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
 age fnlgt education-num capital-gain capital-loss hours-per-week
count32561.00000032561.00000032561.00000032561.00000032561.00000032561.000000
mean38.581647189778.36651210.0806791077.64884487.30383040.437456
std13.640433105549.9776972.5727207385.292085402.96021912.347429
min17.00000012285.0000001.0000000.0000000.0000001.000000
25%28.000000117827.0000009.0000000.0000000.00000040.000000
50%37.000000178356.00000010.0000000.0000000.00000040.000000
75%48.000000237051.00000012.0000000.0000000.00000045.000000
max90.0000001484705.00000016.00000099999.0000004356.00000099.000000
\n" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_census_orig.describe().style.highlight_max(color='red')" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "84690d2a-e685-4f02-a0e8-15c91e92966b", + "metadata": {}, + "outputs": [], + "source": [ + "# create profiling report of original census data\n", + "profile = ProfileReport(df_census_orig,\n", + " title=str(config['eda']['orig_report_title']))" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "96c9d89d-459f-4d9f-98a3-b2adfa69e8aa", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "279be28844574eb7a42525a865f59cef", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Summarize dataset: 0%| | 0/5 [00:00 - 857\u001b[0m\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ac8cd06b63c04058a05bf7df0ebc9487", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Render HTML: 0%| | 0/1 [00:00\n", + "### 2. EDA\n", + "Now, we start with general preprocessing, like rename columns, removing duplicates if available and modifications regarding the insights of the created profiling report. We have to visualise and understand ou data features before doing detailed feature engineering resp. afterwards building statistical, machine learning models for our prediction goal.\n", + "\n", + "#### 2.1 General Aspects" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "e1ba1a73-63c3-43b4-ac29-5ef68f142743", + "metadata": {}, + "outputs": [], + "source": [ + "# preserve the original file\n", + "df_orig_copy = df_census_orig.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "541ea005-4fd3-428b-b334-c880a46d6d4c", + "metadata": {}, + "outputs": [], + "source": [ + "# are there duplicate rows? If yes, remove them and preserve the index \n", + "df_orig_copy.drop_duplicates(inplace=True, ignore_index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "9d5e802f-f5f2-4166-a00a-d10a04bd1eeb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "no duplicates anymore, sum is: 0\n" + ] + } + ], + "source": [ + "print(f'no duplicates anymore, sum is: {df_orig_copy.duplicated().sum()}')" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "c8b80c4b-bf03-41e3-92a7-fbf965bd8e99", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['age', ' workclass', ' fnlgt', ' education', ' education-num',\n", + " ' marital-status', ' occupation', ' relationship', ' race', ' sex',\n", + " ' capital-gain', ' capital-loss', ' hours-per-week', ' native-country',\n", + " ' salary'],\n", + " dtype='object')" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# how do the column labels look like?\n", + "df_orig_copy.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "c5034c27-5001-423d-899b-11e5acc0e274", + "metadata": {}, + "outputs": [], + "source": [ + "# it is common to use underscores in column names and to remove leading/ending spaces\n", + "columns = df_orig_copy.columns\n", + "df_orig_copy.columns = [col.replace('-', '_').strip() for col in columns]" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "ae1d34f1-5999-4a1d-8efe-3a2227e432a1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['age', 'workclass', 'fnlgt', 'education', 'education_num',\n", + " 'marital_status', 'occupation', 'relationship', 'race', 'sex',\n", + " 'capital_gain', 'capital_loss', 'hours_per_week', 'native_country',\n", + " 'salary'],\n", + " dtype='object')" + ] + }, + "execution_count": 24, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# after column names modification\n", + "df_orig_copy.columns" + ] + }, + { + "cell_type": "markdown", + "id": "4ba1d77d-7355-4094-ae72-f14bad3d493b", + "metadata": {}, + "source": [ + "Now, here are some **general visualisation plots** ... we start with univariate ones. Plots are stored in the _plots_ dir as jpg, because only with that image format they are not cropped compared to e.g. png images. For our categorical features, this is a way to get distribution information." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "42b6d7d0-fb72-4ba6-bc3a-94f18beec25a", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_categorical_hist(title, xlabel, ylabel, feature_name, size=(4, 2.5)):\n", + " ''' Plots a histogram of the given categorical census attribute. '''\n", + " fig = plt.figure(figsize=size)\n", + " title = fig.suptitle(title, fontsize=10, fontweight='bold')\n", + " fig.subplots_adjust(top=0.85, wspace=0.3)\n", + "\n", + " ax = fig.add_subplot(1, 1, 1)\n", + " ax.set_xlabel(xlabel, fontsize=9)\n", + " ax.set_ylabel(ylabel, fontsize=9) \n", + " ax.tick_params(axis='x', rotation=75)\n", + " census_q = df_orig_copy[feature_name].value_counts()\n", + " census_q = (list(census_q.index), list(census_q.values))\n", + " ax.tick_params(axis='both', which='major', labelsize=7)\n", + " bar = ax.bar(census_q[0], census_q[1], color='steelblue', alpha = 0.7) \n", + " \n", + " # save the plot in plots dir\n", + " plot_name = str(feature_name)+'_plot.png'\n", + " #print(config['eda']['plots_path']+str(plot_name))\n", + " plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "5b51207f-1c87-4334-b26c-f730d626ca53", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Univariate Workclass Distribution'\n", + "xlabel = 'Workclass'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'workclass'\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "302bc449-ba7f-4e9d-8138-bad7db700ff0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Univariate Marital-Status Distribution'\n", + "xlabel = 'Marital-Status'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'marital_status'\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "2e17d2fd-ba7c-4f9d-a5a4-c80d731804fd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Univariate Occupation Distribution'\n", + "xlabel = 'Occupation'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'occupation'\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "3b8433de-8627-4c6e-8020-d8ca89a9e621", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Univariate Relationship Distribution'\n", + "xlabel = 'Relationship'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'relationship'\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "9ba11029-85b7-4631-a054-b9d48bb3b0ef", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Univariate Race Distribution'\n", + "xlabel = 'Race'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'race'\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "e2b1ab1a-f0a9-461b-9f6a-e1d62939de09", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Univariate Sex Distribution'\n", + "xlabel = 'Sex'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'sex'\n", + "size = (1.5, 2.5)\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name, size)" + ] + }, + { + "cell_type": "markdown", + "id": "4a350721-c72f-48f0-90f0-7aadc3e73f60", + "metadata": {}, + "source": [ + "**Note:** This feature sex is used as a binary one in this dataset, even this is not correct from medical, biological point of few. Nevertheless, because ML models deal with numbers and not with strings, we change its values to 0 and 1 at the end (feature conclusion part). Furthermore, having round about twice as much male representives compared to female would be a fairness problem, if not handled appropriately." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "cf7139d2-7362-4e1a-8fbc-298d18ba28f1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Univariate Native-Country Distribution'\n", + "xlabel = 'Native-Country'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'native_country'\n", + "size = (11, 4)\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name, size)" + ] + }, + { + "cell_type": "markdown", + "id": "37707a28-5393-4cdc-8095-299d36fc7c2b", + "metadata": {}, + "source": [ + "**Note:** Regarding features value distribution, scaling is important for our ML task." + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "3124b1a3-41e6-4531-bc64-368077875add", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[4;1mGeneral Numerical Univariate Feature Distribution\n", + "\u001b[0m\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# pandas.plot() has the possibility to add an overall plot title, but plot is ugly\n", + "title = 'General Numerical Univariate Feature Distribution\\n'\n", + "print(esc('4;1') + title + esc(0))\n", + "df_orig_copy.hist(bins=10, color='steelblue',\n", + " edgecolor='black', linewidth=0.7,\n", + " figsize=(6, 4), layout=(2, 3),\n", + " xlabelsize=8, ylabelsize=8,\n", + " grid=True, alpha = 0.7)\n", + "plt.tight_layout()\n", + "plot_name = 'num_feat_dist_gridplot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "83e82559-05ac-4c02-88d5-e5e970766fd9", + "metadata": {}, + "source": [ + "**Note:** Regarding the most prominent feature _age_ there exists a right skew." + ] + }, + { + "cell_type": "markdown", + "id": "61effde4-2778-47ac-9737-bbee53761227", + "metadata": {}, + "source": [ + "#### 2.2 Few Specific Features\n", + "The profiling report showed a very high correlation between the features _education_ and _education_num_. Because models work with numbers, we remove _education_, but first we get an overview about the mapping of its numbers to the associated categorical feature values." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "99809163-b2b6-463d-975e-c084bf9d5b77", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mMapping of \u001b[34;1meducation number\u001b[0m\u001b[1m to its \u001b[34;1mcategorical education string\u001b[0m\u001b[1m followed by people count for the subgroup:\u001b[0m\n" + ] + }, + { + "data": { + "text/plain": [ + "education_num education \n", + "1 Preschool 50\n", + "2 1st-4th 166\n", + "3 5th-6th 332\n", + "4 7th-8th 645\n", + "5 9th 514\n", + "6 10th 933\n", + "7 11th 1175\n", + "8 12th 433\n", + "9 HS-grad 10494\n", + "10 Some-college 7282\n", + "11 Assoc-voc 1382\n", + "12 Assoc-acdm 1067\n", + "13 Bachelors 5353\n", + "14 Masters 1722\n", + "15 Prof-school 576\n", + "16 Doctorate 413\n", + "Name: education, dtype: int64" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "txt_start = 'Mapping of '\n", + "txt_eduno = 'education number'\n", + "txt_middle = ' to its '\n", + "txt_edustr = 'categorical education string'\n", + "txt_end = ' followed by people count for the subgroup:'\n", + "print(esc('1') + txt_start + esc('34;1') + txt_eduno + esc('0') + esc('1') + txt_middle + \\\n", + " esc('34;1') + txt_edustr + esc('0') + esc('1') + txt_end + esc(0))\n", + "df_orig_copy.groupby(['education_num', 'education'])['education'].count()" + ] + }, + { + "cell_type": "markdown", + "id": "c9fffcfe-87ad-443d-8ef3-2b01f9f9716e", + "metadata": {}, + "source": [ + "**Note:** So, to remember after having removed the ordinal education attribute: the higher the number, the higher the level of eduction. Most people of the dataset have a high-school grade education, followed by Bachelors degree. Less have only a very low level education.\n", + "\n", + "It may be worthwhile adding a new feature, called _education_level_num_ communicate the level of education having the following meaning with the precondition not knowing the US education system properly:\n", + "- low==1 used for: Preschool, 1st-4th, 5th-6th, 9th\n", + "- average==2 used for: 10th, 11th, 12th, HS-grad, Some-college, Assoc-voc, Assoc-acdm\n", + "- high==3 used for: Bachelors, Masters, Prof-school, Doctorate\n", + "\n", + "And before doing that, creating some visualisations of the distribution of people regarding education depending on sex, age and race." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "b11a7e81-8df9-47bf-ae5a-1cfc28076c37", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy['education_level_num'] = df_orig_copy['education_num']. \\\n", + " apply(lambda value: 1 \n", + " if value < 6 else 2 \n", + " if value < 13 else 3)" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "1d4e21bf-6629-4803-bddc-58100a4d775f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([3, 2, 1])" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['education_level_num'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "5fd851d9-94b7-4b96-ba01-9ab99a4a8d64", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "education_level_num\n", + "1 1707\n", + "2 22766\n", + "3 8064\n", + "Name: education_level_num, dtype: int64" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.groupby('education_level_num')['education_level_num'].count()" + ] + }, + { + "cell_type": "markdown", + "id": "2f6a5789-b500-4d1b-9f00-218c65153d98", + "metadata": {}, + "source": [ + "Now, we have a look to the age, education, ... attributes relationship" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "19dff3df-5e98-4581-b0e0-e28bec01367f", + "metadata": {}, + "outputs": [], + "source": [ + "bins=[0, 25, 50, 75, 1000]\n", + "labels=['young adults', 'adult', 'older', 'senior']\n", + "df_orig_copy['age_group'] = pd.cut(df_orig_copy['age'], bins=bins, labels=labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "5b674c93-485a-4580-bbed-b518ce3123e4", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "age_group\n", + "adult 19678\n", + "young adults 6400\n", + "older 6219\n", + "senior 240\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['age_group'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "cb2e00bf-1d1e-4081-9d05-66550d35d866", + "metadata": {}, + "outputs": [], + "source": [ + "bins=[0, 1, 2, 3]\n", + "labels = ['low', 'average', 'high']\n", + "df_orig_copy['education_level_group'] = pd.cut(df_orig_copy['education_level_num'], bins=bins, labels=labels)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "5dcff867-cf2f-4cbd-824d-d2b5a5dfcc4b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "education_level_group\n", + "average 22766\n", + "high 8064\n", + "low 1707\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['education_level_group'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "d0b61b4d-79db-465f-b510-c17266fc75d9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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mGTzwwAMAgM8++wzffPMNjjvuuMP6jqWlpabHHTt2ND1euHAh/vGPf9R7XXPDmWfMmIG77rrLuJgNBoMoKyszvSYrKwuLFi0yAo5z587FY489BiAcyHj66acb/OzD1alTJyxatAgdOnSApmn485//bKz3yspKvPnmm7j88suj/plFRUXG47Kysmb3q3379hn/T09Px4cffmgEeoDwcevTTz81frNrr70WgHnIbUvyEf/zn/80Au9CiHo96qw455xzMGfOHEiShMLCQsyYMcPYxpYsWYI///nP9baxlkil45TH48Hrr79uTKz0wAMP4JlnngEQ7iG9cOFC3H333QCAmTNnGrlhi4uL8fHHH+OUU04BAFPb0L59e5x44omW61BVVYVPP/3UeDxixAhkZGQgIyMD+fn5xvdcunQp/vrXvxr7OwDTsROAqTfqF198gd///veNTnT20EMPGc916dIFixYtMnon7ty5E2eeeSaqq6tbfJxoabvYmJkzZ+Kvf/0rgPDNkz/96U/Gc1999ZXRa7U1zxn+/ve/GxMUffvtt8byXr16NThk/lDWxaeffoqvv/7aKNupUyc8+eSTppQTP/zwg3Gc0jQNc+fONZ4bOHAgFixYYKR1+eGHHzBjxgwIIZrdz4iIKHEw2ElElGDqDne89tproSgKgHCvqwsuuAD//ve/o/qZmqaZevplZGTg73//u6n3hcPhwJlnnml6XefOnbFw4UKsXLkS27Ztw4EDBxoMXhQUFES1vnWHX1966aXIzs4GAMiyjBtuuMHUU3LVqlWNXtycf/75Rk8Rl8uFESNGGBfXoVAIFRUVyM3NRVlZWaMTkcyePRtHH330IX2XNWvWIBAIGI/LyspMw0Nr99YBwt/99NNPBxAeyh7pzRIKhbB8+XKcc845qKqqMq2js846y/h/7aACAGzbtg3XXXed8bi6urre5x1usLOu5oZWW5GRkYFbb73VFPhwOBxYs2aNaRusO2T+iiuuwAsvvGAEB47UpBoXXnihkRNUURTMnj3bFGReu3Zt1IOdhzJ7fe11U1VVhQceeADDhg1Djx490KNHD2RmZpq2n8MxduxYUw9jSZIOKUB3/fXXG9tQXl4ezj33XDzxxBMAwvkxv/76a2MfiaVYHKda6vTTTzfNIH/llVfihRdeQDAYBBDeTiMGDRqEwYMH4/vvvwcALFq0CKeccgqEEKag7hlnnGHaL5uzbNky0zGwdo/OyZMnG9+zvLwcn3/+uRFIVVXVFBTr0KGDKUfsmDFjMGrUKHz55Zf1PrOkpAQbNmwwHiuKUi+YWfs71P0tmxKNdtHtdhs3uQDU60lcO31Ha54zNLQepk2bhr///e8N5hE9lHXx8ccfm5676aab6k1ONWjQIOP/GzZsMPWUDwQC9XLu2u12Y5v+7LPPGOwkIkoCDHYSEcWJ5nqpRezdu9f4v8PhqJfbsPaFabRUVFSYhjzn5+fXm+ymrqqqKlxwwQWmnGJNlY2m3bt3mx7XXSe5ublo166dMSS/bvnajjnmGNPjuhdskQskr9fbaM/ciy66yFrFG1B3qHFTQxsB83fp1q0bhg4dinXr1gEI9+Y855xzsGLFCiN4EOkB2tjn1b1QburzDlV2dja2bt1qPN67dy969uxpPO7WrZsR4GhsHdd1zDHHmILxEXW/X91tw+l0olu3bkYuwMiEJJHgQLTUHQJ91FFHwW63Gxf6R6J3dt33tJK7sn///hg/frwRxHjxxReN45TdbsegQYMwY8aMqAQ8ozExU7t27erlBqz7Gx+JdXsoYnGcaqm6dUpPT0fnzp2N4FPddTlz5kwj2Pnll19i165d2Ldvn6nc4QxhVxQFkyZNMh5PnjwZjz76qPH4vffeM4KdFRUVpiBp796966VdOProoxsMdtZd1zt27GhyqPq+ffssHSei1S527drV9Bu3adPG9Hzt3zsW5wy1ffDBB+jfvz8uvfRS0/JDXRd1j+HN3WwrLCw0Pd68eXOTnxmNNo2IiGKPwU4iogR3OL3g6vYKjGaewJdfftl0QeHxeDB48GBjGPVnn31mykUar+rmIo120Cva6q7Ts88+2wh2rlmzBmVlZaYhpcOHDzfl+Gup2qkNDtWgQYNMOeY+//xzjB492ng8fvx4o+dS3R48jWloMoxo03Xd9Phw959o9GhtzJYtW0y9vbKzsy0NuZYkCfPnz8err76KDz/8EBs2bDB694ZCIaxfvx7r16/HgQMHTL3mDkVr/GZNOZLHwyMtXo5TU6ZMwX333Yfi4mLouo7XX3/d1Bt88ODBLQquFRcXm3qPAmgysL5y5Ur4fD5TztiII7l/CSHg9/ubvQkYrXYxIyPD9Lglv/eRXA8rVqxA+/btsWrVKvz5z3+G1+uFEAL3338/Bg0aZLqhEa/nCIlwXkJERM1jsJOIKMF07NgR27dvBxDuvbFjxw5TT43aPeTqqjt7dd1E/I31GszIyIDH4zF6d27evBnV1dVNXtjVnmHV4XBg6dKlxrBdTdOa7MV1uBdjdSc22bp1q6n3R1FRkWmipU6dOh3W5wHh4bKbNm067Pepq24g8r777mtRL7opU6Zgzpw58Pl80DQNr732Gj7//HPj+enTp5vK1113CxcuxPHHH9/yirfA5MmTjTyAQHgyiZkzZx7W71K3B1dE3e/3yy+/mB4HAgFTD64OHToYgYS6+0/tbQhovtdtbVu3bsWECROMxzt37jT1xorGNlnbQw89ZHpcu3dccxwOB2bNmmUEM4uLi/Hzzz/j/vvvN4IVL7/88mEHOxv7zVpi//79KC4uNgVO6x4Ta6/b2r+p1eNhRCIep1qq7v5RXV1t6qVZt052ux3nn3++0dvyzTffNK2nlvbqXLx4sSkIrWmaKY9sXV6vFytWrMC0adOQmZkJl8tl3JDZvn07hBCm+mzZsqXB96n7vaZPn4577723RXVvyOG0i4fqcM4ZDoXL5cKkSZNwyy234M477wQQDgb/85//xBtvvGGUO9R1UbdN/Oabb5q8YVf3udmzZ+Oaa65p2ZciIqKEw9nYiYgSTGTSgYhHHnnE6GFWVFSEV155pdHX1u059cEHHxgBzMWLF2PlypUNvk5RFNMM2RUVFbjrrrtMQ9tVVcV7771nehwhy7KRe08IgXnz5pleW1ftCVAi36sl6uYv+89//oOysjIA4d54Dz/8sOn5aMz+faSMHDnSFJB57LHH6g3jE0Lgu+++w5133mkMIY1IT083Bbbmz59vDJX2eDzGBCIRddfdgw8+iPLyctMyVVWxevVq3HTTTaYhkodq0KBBOPnkk43HlZWVuOSSS+p9l2iouz5fe+017Ny503j89NNPm4ZM1t422rdvb3qvt99+2wjEPPvss/j5558t1+Pll182gja6rtebwGf48OGW36spJSUluOmmm7BixQpjmcfjwR//+EdLry8sLMTChQtNAaacnByMGzcOffv2NZbVHfrpcrmM/7d0/z1cDz/8sJGfdPfu3Xj99deN52RZNgXva/+mW7duNQIwe/bswb/+9a8mPycVjlPvvfeeKeD55JNPmoaGN7SdnnfeecY+VlRUZGw7LpcLp512Wos+v6EZ1q3UGQi3W7V/6127dpmCbV988QVWr17d4Hvk5OSYUgN88MEHDZb99ddfMX/+/Cbb3doOp108VIdzznA4zjnnHFNQ9ccffzTlQD7UdVF3cqt//etf9W40btiwwVjWv39/U8qOhQsXNnis/vnnn3Hffffho48+svgNiYgonrFnJxFRnNiyZYsxk3FdAwcOxB/+8AcA4QuIp59+2hga+N577+H7779H165d8eOPP9brnVRb165d0blzZyMwsWHDBowZMwYej6fZIZtXX301PvnkE+NC97333sOqVavQr18/KIqCDRs2QFVVY+KPgQMHGhc2fr8fp512GgYOHIhff/0V27dvhyRJjU6YctRRR5kez549G4MGDYLdbseJJ55YrzdiXX379sWkSZPw4YcfAghPsjN16lQMGDAAhYWFpskOsrOzccEFFzT5fkdSZPbahtx3333IysrCrFmz8OyzzwIIX1yfcsopGDhwIDIzM3HgwAFs2bLF6AHWUDBh+vTpxizJtXsPTpkypV5ey759+2LKlClYunQpgHDvtpNOOgkDBgxAmzZtUF5ejk2bNhkXojfccMNhroGwe++9F+edd57x2xQUFGDGjBno0aMHjjrqKOi6Xq+X2aHIzs7GRRddhOeffx5AeMKnM844A4MHD0ZpaalpWKXb7cZll11mPB44cCDcbrcxzPGTTz7BqFGjIEkSKioqWlSPPXv2YNq0aRg4cCAKCwvx66+/Gs+lp6fjnHPOOaTvV1ZWhmuvvRaqqqKoqAgbN240BRVsNhvuv/9+y6kLysvL8Y9//ANz5sxB9+7dkZeXB4fDgcLCQlOAoe4+261bN6PHWEFBAaZPn44uXbpAkiT8+c9/btGs5S31xhtvYN26dejSpQu+//57U/B68uTJppnYhw8fbqR50HUdF110ETp27Ii9e/fWS1NQVyocp7xeL8455xwMHjwYZWVlpv3DZrPh4osvrveanJwcTJkyxXTzCwBOOeWUBiepacyOHTvwww8/GI/HjBmD//znPw2WPeuss7Bx40YA4SBmeXk5MjMz8bvf/c4UYLvjjjuwaNEiOBwOfP/9901O2nXdddfhiiuugBACgUAAl1xyCfLz89GlSxcEAgFs377d6OVqtafg4bSLh+pwzhkOh6IouOyyy4zenQDw1FNPGUH7Q10XJ5xwAoYOHYr169cDCB9Lp0+fjr59+yInJweFhYXYsmUL5s+fjz59+sBms+Gaa67B3XffDSB8TDvrrLPQv39/5Obmorq6Glu3bjXOgQ51MkEiIoov7NlJRBQnysvLsWzZsgb/ffvtt0a5nJwczJkzxzTkc8eOHfjiiy9w4MCBZmcZrntR5vV6UVJSApfLVW829dr69OmDuXPnmiZCqKiowOrVq/H555/X6/03c+ZMY0gaAJSWluKTTz7B9u3bce6559Ybwlnb2LFjTT2uSkpKsHLlSixbtsy4oG3OP//5T1Ovo4qKCnz++eemAEL79u3xxBNP1Mt/1po+++yzRn/3SA/Mm266yTR0XVVVfPvtt1i5ciXWrVtnGuraUO62ESNGNDgEtvbM17Xdc889GDt2rPHY5/Ph66+/xsqVK/Htt9+aetxEKzdgRkYGXn311Xq9drZv345PPvkEn332Wb3eg927dz+kz7r55psxdepU47HX68Xq1atNgZy0tDQ8/PDDps9IT0+vN8nG/v37UVFRgczMzHq9ZJty4YUXorq6Gl988YUp0CnLMv7xj3/U60Vqlc/nw7Jly7BixQr8+OOPpkBnx44d8fzzz7doCHuEEALbt2/HqlWrsGLFClOg026348YbbzSVr5tqYcOGDVi+fDmWLVuGysrKFn++VTk5ORg1ahQKCgrwxRdfmAKd3bp1w1//+ldT+YsvvtjU60vXdezevRu6ruO8885r8rNS4Th16qmnQlVVrFmzpt6kLg3Ngh0xc+bMestaOoS9oWBpYyZOnGj8PxQKGTdrxowZY9pnhRD48ccfsX79eqSnp5tmdgfMaQ1OPPFE3HHHHaZlmzdvxscff4wvv/zSNJzfagqGw2kXD9XhnjMcjrPPPts0ouSrr74yzmcOdV1IkoR58+ZhyJAhxjJVVfHTTz/h448/bjA1wUUXXYTLL7/cSGEghMBPP/2ElStXYu3ataabvdFIp0FERLHHozkRUQI69dRTsWDBAowcORIejwcejwfDhw/Hc889h3PPPbfJ1/7mN7/BAw88gL59+8JutyMjIwOTJ0/GW2+9hZEjRzb52pNOOgmLFy/GlVdeafT0s9lsaN++PYYNG4bLL7/cKJuVlYVFixZh2rRpyMjIgNPpxNFHH43bbrsN//jHP5r8HI/Hg+eeew4nnXQS2rVrd0i58dLT0/H888/j/vvvx7hx45CdnQ2bzYa0tDQMGDAAs2fPxvvvv49Bgwa1+L1bm6IouO+++/D8889j2rRpyMvLg8vlgt1uR05ODoYPH44rr7wS77zzToN5zmRZrhfIzsvLazQXZ1paGp555hnMmzcPkyZNQseOHeFwOGC329GxY0eMGTMGN9xwA5YtWxbVPIKZmZl48skn8corr+D888/H0UcfjbZt20JRFKSlpaF79+446aST8Oc//xnLli1rdjtqjN1ux8MPP4zHH38cEydORG5uLux2OzweD/Lz83HppZfigw8+qBd4BcK992699Vb06NEDdrsd7du3x/Tp0/Huu+8iPz/fch2mTJmCF198EWPGjEF6ejo8Hg9GjBiBBQsW4NRTTz2k7xUhSRIcDgeysrLQp08fnHbaabj//vvx0UcftTj/as+ePTFnzhycffbZyM/PN/Yjl8uF7t27Y/r06Xj99ddx0kkn1ft+c+bMQd++fesN9z6SHA4HnnrqKVx//fXo3r07HA4HcnJycP7552PRokX1gsjZ2dl4+eWXMWnSJLRp0wZOpxP9+/fHfffdZ/QEa0wqHKfGjRuHRYsWGd/R5XJh8ODBePTRR+sF/msbPHgwBg4caDzu2rVrveHUzfnggw+M/8uybApo1lU3gF97+Ptf/vIX3HPPPejXr5+xX0ybNg1vvfWWKd2CoijIzMw0vc9FF12E//73v5g5cyby8/ORlpYGRVHQrl079O/fHxdddBGefvppXHHFFZa+0+G0i4fjcM4ZDofD4cDvfvc707Inn3wSwOGti6ysLLz00ku4//77ceKJJyInJwd2ux3p6eno3bs3LrjgAlOaDQC48cYb8frrr+Occ85Bjx494PF4YLPZkJmZiWOPPRaXXnopXnrppRblxCYiovgliWiPlSAiIiIik7feegu33nqr8fiFF15ocfCHKFFomoZTTz3V6KF63XXX4aqrropJXXbv3t1gL8GtW7finHPOMXqqH3/88Vi4cGFrV4+IiIiOAObsJCIiIiKiw/baa6+hrKwMX375pRHo9Hg8zaYEOJLuuOMObN26FcOGDTOGTe/cuRMrV640UoVIkoQrr7wyZnUkIiKi6GKwk4iIiIiIDtsTTzyBXbt2mZbdcMMNyM7OjlGNwvbs2VMvB2iEw+HA7bffjjFjxrRyrYiIiOhIYbCTiIiIiIiixuVyoWfPnrjkkkuanPiuNcyaNQvt27fHDz/8gNLSUlRXV8Pj8aBbt24YMWIEzj//fHTr1i2mdSQiIqLoYs5OIiIiIiIiIiIiSgqcjZ2IiIiIiIiIiIiSAoOdRERERERERERElBQY7CQiIiIiIiIiIqKkwGAnERERERERERERJQUGO4mIiIiIiIiIiCgpMNhJRERERERERERESYHBTiIiIiIiIiIiIkoKDHYSERERERERERFRUmCwk4iIiIiIiIiIiJICg51ERERERERERESUFBjsJCIiIiIiIiIioqTAYCcRERERERERERElBQY7iYiIiIiIiIiIKCkw2ElERERERERERERJgcFOIiIiIiIiIiIiSgoMdhIREREREREREVFSYLCTiIiIiIiIiIiIkgKDnQlq7dq16NOnD9auXRvrqjTqrbfeQp8+fVBYWBjTesycORMzZ86MaR0i4qkuySIR9gWiRNhOecyuL57qQkSpie2HdfF0zI6nuiSLyHb2448/Nlv2cNb/zJkzMW3atEN6LRHFDwY76bA98cQT+Oijj2JdDSIisoDHbCIiOhRsP4iIKFEw2EmH7cknn2zwxOfMM8/EDz/8gC5dusSgVkRE1BAes4mI6FCw/aBE8eyzz+LZZ5+NdTWIKIYY7KQjRlEUOJ1OSJIU66qkLK/XG+sqEFGC4DE79njMbl2qqiIYDMa6GkQJj+1H7LH9MHM4HHA4HLGuBhHFEIOdMbRv3z7ceuutGD16NAYMGIDTTjsNb7zxRr1ye/fuxVVXXYUhQ4Zg1KhRuOeeexo8OT/55JNxyy231FveUM6SQCCARx99FJMnT8bAgQMxduxYXHPNNdixY4dR5tlnn8X555+PESNGYNCgQZg+fTqWLl1qep8+ffrA6/Xi7bffRp8+fdCnTx+jDo3l73nppZdw2mmnYcCAARg7diz+/ve/48CBA/XqPG3aNPzyyy+YOXMmBg8ejHHjxuHpp59uZq1aEwwG8cgjj2DSpEkYMGAATjjhBNx///2m9Tpt2rQGc73ouo5x48bh2muvNS17/vnncdppp2HgwIEYPXo07rzzTuzfv/+w66rrOh599FGMHTsWgwcPxsyZM/HLL7/U+70j6/urr77C3/72N4waNQonnHCC8byV9W51G4rkj1q8eDH+/e9/Y8yYMRgyZAiuuOIK7Nmz57C/czQsWbIE06dPx6BBgzBixAjcfPPN2Ldvn/H8ihUr0KdPH/z888/GsmXLlqFPnz645pprTO81depUXH/99a1VdYpTPGbzmG0Fj9lNq6iowH333YfTTz8dxx57LI477jhcdtllpmNxSUkJjjnmGMybN6/e67dt24Y+ffpg4cKFxrIDBw7g//7v/3DCCSdgwIABmDRpEp566inoum6UKSwsRJ8+ffDss8/i+eefx8SJEzFw4EBs3boVwWAQc+fOxfTp0zF06FAMGTIEF154IdasWVPv88vLy/GnP/0Jxx13HIYNG4a//OUv+Pnnn9GnTx+89dZbprJbt27Ftddei+HDh2PgwIGYPn06VqxYEY3VSAmG7QfbDyvYflgTDAZx7733YuTIkRgyZAiuvvpqlJWVmco0tC/s2rULV1xxhWn/WrVqVaM5cY/UNklErcMW6wqkqpKSEsyYMQOSJOGiiy5CVlYWPvvsM9x+++2oqqrCJZdcAgDw+/347W9/iz179mDmzJnIzc3Fu+++2+AJuFWapuHyyy/H6tWrcdppp2HWrFmorq7GF198gc2bN6Nbt24AgBdeeAEnn3wyTj/9dIRCIXzwwQe47rrr8OSTT+LEE08EANx///3461//ikGDBmHGjBkAYLy+IY8++ijmzZuH0aNH44ILLsD27dvxyiuv4Mcff8Qrr7wCu91ulN2/fz8uu+wyTJo0CVOnTsWyZcvw4IMPIj8/39Sgt5Su67jyyiuxfv16zJgxA7169cLmzZuxYMECFBQU4LHHHgMQDnDNmzcPxcXFyMnJMV6/fv16FBUV4dRTTzWW3XnnnXj77bcxffp0zJw5E4WFhXjppZfwv//9r973aql//etfeOaZZ3DSSSdh3Lhx+Pnnn/H73/8egUCgwfJ///vfkZWVhauvvtq4y9uS9d4Sjz/+OCRJwh/+8AeUlpZiwYIFuOSSS/Duu+/C5XI1+rpQKITKykpLn5GRkQFZbtl9mbfeegu33norBg4ciBtvvBGlpaV44YUX8M033+Cdd95B27ZtMXToUEiShHXr1qFv374AgHXr1kGWZaxfv954r7KyMmzbtg0XX3xxi+pAyYXHbB6zreIxu+lj9s6dO/HRRx9hypQpyMvLQ0lJCRYtWoSLL74YH3zwATp06ID27dvj+OOPx5IlS+rdfFq8eDEURcGUKVMAAD6fDxdffDH27duH888/H506dcK3336Lf//73yguLsbtt99uev1bb72FQCCAGTNmwOFwoF27dqiqqsLrr7+OadOm4dxzz0V1dTXeeOMNXHbZZXj99dfRr18/AAe3xR9++AEXXHABevbsiRUrVuAvf/lLve+5ZcsWXHDBBejQoQP+8Ic/wOPxYMmSJbj66qvx6KOPYtKkSZbWJyU+th9sP6xi+2HtnH/OnDlo27YtrrnmGuzatQsLFizA3XffjYcffrjR13i9Xvz2t79FcXExZs2ahfbt2+P9999vdOKvI7VNElErEhQTt912mxgzZowoKyszLb/hhhvE0KFDhc/nE0II8fzzz4v8/HyxePFio4zX6xWTJk0S+fn5Ys2aNcbyk046SfzlL3+p91kXX3yxuPjii43Hb7zxhsjPzxfPPfdcvbK6rhv/j9QhIhgMimnTpolZs2aZlg8ZMqTBz33zzTdFfn6+2LlzpxBCiNLSUtG/f39x6aWXCk3TjHILFy4U+fn54o033jDVOT8/X7z99tvGskAgIMaMGSNmz55d77OaUvf7v/POO6Jv377i66+/NpV75ZVXRH5+vli/fr0QQoht27aJ/Px88eKLL5rK/e1vfxNDhgwx1s/XX38t8vPzxX//+19Tuc8++6ze8rp1aU5xcbE45phjxFVXXWVa/uijj4r8/HzTeo+s7wsuuECoqmosb8l6t7oNrVmzRuTn54tx48aJyspKY/nixYtFfn6+WLBgQZPfK/J6K/8i209z7xXZF4LBoBg1apSYNm2a8Pv9RrmPP/5Y5Ofni7lz5xrLTjvtNHHdddcZj88++2xx7bXXivz8fPHLL78IIYRYvny5yM/PFxs3bmyyHpTceMzmMdsKHrObP2YHAgHT9xJCiJ07d4oBAwaIefPmGcteffVVkZ+fLzZt2mQqe+qpp5q26fnz54shQ4aI7du3m8o9+OCDol+/fmL37t3GZ+Tn54vjjjtOlJaWmsqqqioCgYBp2f79+8Xo0aPFrbfeaixbtmyZyM/PF88//7yxTNM0MWvWLJGfny/efPNNY/lvf/tbMW3aNNP76rouzjvvPHHKKac0uY4oubD9YPthBduP5tuPyPe+5JJLTNvvPffcI/r16ycOHDjQ6Pf4z3/+I/Lz88WHH35oLPP7/WLKlCn19q9obpNEFDscxh4DQggsX74cJ598MoQQKCsrM/6NHTsWlZWV2LBhAwDgs88+Q05OjtGDAQDcbrdxR/VQLF++HJmZmQ32VKuda6f2Xbr9+/ejsrISQ4cOxf/+979D+twvv/wSoVAIs2bNMt21O/fcc5Geno5PP/3UVN7j8eDMM880HjscDgwcOBA7d+48pM+PWLp0KXr16oWePXua1v3IkSMBwLjD16NHD/Tr1w+LFy82XqtpGpYtW4aTTz7ZWD9Lly5FmzZtMGbMGNP79e/fHx6Pp9E7hlasXr0aqqriwgsvNC1vqpfhjBkzoCiK8bil670lzjrrLKSnpxuPp0yZgpycnGbfs2/fvnjuuecs/at9h92Kn376CaWlpbjgggvgdDqN5SeeeCJ69uyJTz75xFg2dOhQrFu3DgBQVVWFn3/+Geeddx4yMzON3p3r1q1D27ZtkZ+f36J6UPLgMZvHbKt4zG7+mO1wOIzvpWkaysvL4fF40KNHD9O2OmnSJNhsNtPvuXnzZvzyyy+mXlZLly7F0KFD0bZtW9PvOXr0aGiahq+//tr0+aeccgqysrJMyxRFMXK76bqOiooKqKqKAQMGmOq0atUq2O120/4syzIuuugi0/tVVFRgzZo1mDp1Kqqqqow6lZeXY+zYsSgoKDClVaHkxfaD7YdVbD+sn/NHekpHDBs2DJqmYdeuXY2+ZtWqVejQoQMmTJhgLHM6nY3uX0dqmySi1sNh7DFQVlaGAwcOYNGiRVi0aFGjZYBwbpGjjjqqXsLvHj16HPLn79ixAz169IDN1vTP//HHH+Pxxx/Hxo0bTXltDjX5+O7duwEAPXv2NC13OBzo2rVrvQaqY8eO9T6rXbt22LRp0yF9fsSvv/6KrVu3YtSoUQ0+X1paavz/1FNPxb///W/s27cPHTp0wFdffYXS0lJMnTrV9H6VlZWW3q+lIuus7jChjIwMtGvXrsHX5OXlNfgeVtd7Sxx11FGmx5Ik4aijjmr2Pdu1a4fRo0cf8uc2JfJ9G9pHevbsaRqiPmzYMLz66qv49ddfsWPHDkiShCFDhmDYsGFYt24dZsyYgXXr1uG4445r8VB6Sh48ZvOYbRWP2c3TdR0vvPACXn75ZRQWFkLTNOO5jIwM4/9ZWVkYOXIklixZYuRMXrx4MWw2m2kI+K+//opNmzY1+nvWzeNWd31HvP322/jPf/6D7du3IxQKNVh+9+7dyMnJgdvtNr227u+9Y8cOCCEwd+5czJ07t8HPKy0tRYcOHRp8jpIH2w+2H1ax/bCuc+fOpsdt27YFgHp5SWvbtWsXunXrVm87aywVw5HaJomo9TDYGQORhPlnnHEGzj777AbL9OnTJ2qfp2ma6a6fFevWrcOVV16J448/HnfddRdycnJgt9vx5ptv4v33349a3ZrS0jpbpes68vPzceuttzb4fMeOHY3/T506Ff/617+wZMkSXHLJJViyZAnatGmD8ePHm94vOzsbDz74YIPvV7cHyZFWuzdjtBzKNtSUYDBoOZF7VlbWEdsWhg4dCgD4+uuvsXPnThxzzDHweDwYNmwYXnjhBVRXV2Pjxo2cnCjF8ZhtDY/ZhybVjtlPPPEE5s6di9/85je47rrr0K5dO8iyjHvuuQdCCFPZ0047Dbfeeis2btyIfv36YcmSJRg5cqTpN9J1HWPGjMFll13W4Od1797d9Lih3HLvvvsubrnlFkycOBG///3vkZ2dDUVR8OSTTx5SL57IMePSSy/FuHHjGizTVK5DSh5sP6xh+3FoUq39iGisA0LdNuRwHKltkohaD4OdMZCVlYW0tDTout7sna4uXbpg8+bNEEKY7i5t3769Xtl27do1eEdr9+7d6Nq1q/G4W7du+P777xEKhRpNUr1s2TI4nU48++yzxtAuAHjzzTeb/X6NidyF27Ztm6k+wWAQhYWFR6ynX13dunXDzz//jFGjRjV7x7pr164YNGgQlixZgosvvhjLly/HxIkTTeukW7duWL16NY477rgmE3Qfisg627Fjh2mdlZeXWz5xaMl6t7oNRfz666+mx0II/Prrr82euH/77beYNWuWpfqvWLGi0Z44DYl83+3bt9e78759+3bT3eDOnTujc+fOWL9+PXbu3Ilhw4YBCPf4vPfee7F06VJomobjjz/e8udT8uExm8dsq3jMbv6YvWzZMowYMQL33HOPafmBAweQmZlpWjZx4kTceeedxtDSgoICXH755aYy3bp1g9frPaztcdmyZejatSvmzZtn2sYeeeQRU7nOnTtj7dq18Pl8pt6dtWe1BmCse7vd3mr7CcUnth9sP6xi+9Hyc/6W6NKlC3755Zd6+1fd4zcRJQ+Oy4wBRVEwefJkLFu2DJs3b673fO0hV+PHj0dRURGWLl1qLPP5fHjttdfqva5r1674/vvvTcNPPv74Y+zZs8dU7pRTTkF5eTleeumleu8RuSOmKAokSTINLyssLMSKFSvqvcbj8TQ5bCBi9OjRsNvtePHFF0133t544w1UVla22sx2U6dOxb59+xpch36/35jNMOLUU0/Fd999hzfffBPl5eWm4SyR99M0zZjRsTZVVS2tm8aMGjUKNpsNr7zyiml5Q79dY1qy3q1uQxHvvPMOqqqqjMdLly5FcXGx6S54Q45kzs4BAwYgOzsbr776qul7fPrpp9i6dasxq2jE0KFDsWbNGvzwww9GT89+/fohLS0NTz31FFwuF/r379+iOlBy4TGbx2yreMxu/pitKEq93jdLlixpMIdl27ZtMXbsWCxZsgQffPAB7HY7Jk6caCozdepUfPvtt1i1alW91x84cACqqjZZn0idAHOvoO+//x7fffedqdzYsWMRCoVM26Ku6/V+3+zsbAwfPhyLFi1CUVFRvc+rO7SekhfbD7YfVrH9aPk5f0uMHTsW+/btM23XgUCgwW2DiJIDe3bGyE033YS1a9dixowZOPfcc9G7d2/s378fGzZswOrVq/HVV18BCCdgfumll/CXv/wFGzZsQE5ODt59990G7yaee+65WLZsGS677DJMnToVO3bswHvvvVdvqNRZZ52Fd955B/fee68R4PH5fFi9ejUuuOACTJw4ESeccAKee+45XHbZZZg2bRpKS0vx8ssvo1u3bvVylfTv3x+rV6/Gc889h9zcXOTl5WHw4MH16peVlYXLL78c8+bNw2WXXYaTTz4Z27dvx8svv4yBAwfijDPOiOIabtyZZ56JJUuW4K677sLatWtx3HHHQdM0bNu2DUuXLsUzzzyDgQMHGuWnTp2K++67D/fddx8yMjLq3Y0ePnw4zjvvPDz55JPYuHEjxowZA7vdjoKCAixduhS33367Kdl8S7Rv3x6zZs3Cf/7zH1xxxRUYN24cNm3ahM8++wyZmZmWcim1ZL1b3YYi2rVrhwsvvBDTp09HaWkpFixYgKOOOqrZZPpHMmen3W7HzTffjFtvvRUXX3wxTjvtNJSWluKFF15Aly5dcMkll5jKDxs2DO+99x4kSTKCnYqi4Nhjj8Xnn3+O4cOHm+7qU2riMZvHbCt4zG7eiSeeiPnz5+PWW2/Fsccei82bN+O9995rsCcREA4+/OlPf8LLL7+MsWPHGrnZIn7/+99j5cqVuOKKK3D22Wejf//+8Pl82Lx5M5YtW4YVK1Y0O7T0xBNPxPLly3H11VfjxBNPRGFhIV599VX07t3bFAyZOHEiBg0ahPvuuw87duxAz549sXLlSqPXVe3f96677sKFF16I008/HTNmzEDXrl1RUlKC7777Dnv37sV///vfQ12FlGDYfrD9sILtx5F13nnnYeHChbjpppswa9Ys5OTk4L333jNSARxqfloiil8MdsZI+/bt8frrr2P+/Pn48MMP8corryAjIwO9e/fGzTffbJRzu914/vnn8Y9//AMLFy6Ey+XC6aefjvHjx9fLTzVu3DjccssteO6553DPPfdgwIABeOKJJ3DfffeZyimKgqeffhqPP/443n//fSxfvhwZGRk47rjjjKEIo0aNwv/93//h6aefxj333IO8vDzcfPPN2LVrV70Tn1tuuQV33nknHn74Yfj9fpx99tkNnvgAwOzZs5GVlYWFCxfi3nvvRbt27TBjxgzceOONjQ6viTZZljF//nw8//zzePfdd/Hhhx/C7XYjLy8PM2fOrJcIvmPHjjj22GPxzTff4Nxzz22wnnfffTcGDBiAV199FQ899BAURUGXLl1wxhln4Ljjjjus+t58881wuVx4/fXXsXr1agwZMgTPPvssLrzwQstBOKvr3eo2FHHFFVdg06ZNeOqpp1BdXY1Ro0bhrrvuqjd5Q2ubPn06XC4Xnn76aTz44IPweDyYOHEi/vSnP9W7UI4MXe/Zs6dpCOWwYcPw+eefG89TauMxm8dsq3jMbtoVV1wBn8+H9957D4sXL8YxxxyDJ598Ev/6178aLB+ZCbm6uto0C3uE2+3Giy++iCeffBJLly7FO++8g/T0dHTv3h2zZ89GmzZtmq3T9OnTUVJSgkWLFuHzzz9H79698cADD2Dp0qVGIAqAkcfz//7v//D2229DlmVMmjQJV199NS644AJT/rzevXvjzTffxLx58/D222+joqICWVlZOOaYY3D11VcfwpqjRMX2g+2HVWw/jpy0tDQsWLAAc+bMwQsvvACPx4OzzjoLxx57LGbPnn1E8p8SUWxJIpqZfImoVRw4cADHH388rr/+elx55ZWt/vlr167FrFmzMHfu3EO+g01ElCp4zE5uH330Ea6++mq8/PLLxggBIqJoYPtxZD3//PO499578dlnn6FDhw6xrg4RRRFzdhLFOb/fX2/ZggULAISH0xARUfzgMTu51f19NU3Diy++iPT0dOZ3JqLDwvbjyKq7fgOBABYtWoTu3bsz0EmUhDiMnRJWWVmZKZl6XXa7HRkZGa1XoRayWv/Fixfj7bffxvjx4+HxePDNN9/g/fffx9ixY9mDhIgSBo/ZPGYng3/84x/w+/049thjEQwGsXz5cnz77be48cYboz47MxGFsf1g+xEN11xzDTp37oy+ffuiqqoK//3vf7Ft2zY8+OCDsa4aER0BDHZSwjrnnHOwa9euRp8fPnw4XnzxxVasUctYrX+fPn2gKAqeeeYZVFdXIzs7G7NmzcL111/fepUlIjpMPGZf33qVpSNm5MiReO655/DJJ58gEAjgqKOOwh133IGLL7441lUjSlpsP65vvcomsbFjx+KNN97Ae++9B03T0Lt3bzz00EMN5oMmosTHnJ2UsNavX49AINDo823btsWAAQNasUYtk+j1JyJqiUQ/5iV6/YmIElWiH38Tvf5ERImIwU4iIiIiIiIiIiJKCpygiIiIiIiIiIiIiJICg50ANm3ahE2bNsW6GkREFANsA4iIUhfbACIiouTDYCeAYDCIYDDYotcEAoFm86+kCq6LMK6Hg7guDuK6iH9sAw4P10UY18NBXBdhXA+JgW3AoeN6OIjrIozr4SCuC6LYYrDzEGmaZvqbyrguwrgeDuK6OIjrIjnxdz2I6yKM6+Egroswrofkxd82jOvhIK6LMK6Hg7guiGKLwU4iIiIiIiIiIiJKCgx2EhERERERERERUVJgsJOIiIiIiIiIiIiSAoOdRERERERERERElBQY7CQiIiIiIiIiIqKkwGAnERERERERERERJYW4C3Z+/PHHOPvsszFgwACccMIJeOSRR6BpWr1yK1euxBlnnIGBAwdi8uTJePPNN1utjqqqYt9nnwDfrse+zz6Bqqqt9tnxRggBf0kxUFYGf0kxhBCxrhIR0RFVVlaGjXP/DSxbjI1z/42ysrJYVylmdF3HgS2bgV8LcGDLZui6HusqUYxpmobS9euAjRtQun5dg+dwRImsqqoKm558DFi+BJuefAxVVVWxrlJM8BqA6uI2QUTxxBbrCtT23Xff4aqrrsJpp52GG2+8Eb/88gsefvhh+Hw+/OUvfzHKrVu3Dtdccw3OOecc3HbbbVizZg1uv/12pKWlYcqUKUe0jtveeRvlGzcANQfvsqJ9KPv2G2T264+eZ519RD873lQV7kTRuq/hLS4CvF7sLtiKipxc5A47Hul5XWNdPSKiqFt/zz/MC4TA9ifmYzuAobfdEZM6xUrxN+ux58svoFZXAbqO3Vs2oWjVZ+g0egxyjhsa6+pRDBSu+AhF69dBqCEAQNGOX1G8+kvkDh2GvAkTY1w7osO3/r57Ae1gJwfd58OmRx4CFBuG/uXWGNasdfEagOriNkFE8SauenY++uij6NevHx588EGMGzcOv/vd73DdddfhxRdfRElJiVHu8ccfx6BBg3D33Xdj5MiRuP7663HaaafhkUceOaL12/bO2yj/309GoNMgBMr/9xO2vfP2Ef38eFJVuBOFKz6Ed+9eKA4n4PZAcTjh3bcXhSs+RFXhzlhXkYgoquoFOlv4fDIp/mY9Cld8CLWqElAUQLEBigK1qhKFKz5E8TfrY11FamWFKz7CvrWrjUBnhFBD2Ld2NQpXfBSjmhFFR91Ap4mmhp9PAbwGoLq4TRBRPIqrYOfGjRsxZswY07KxY8ciFArh888/BwAEg0GsXbu2Xg/OU089FVu3bkVhYeERqZuqquEenU0o37ghJYa0CyFQtO5rqD4/nJmZkB0OQJIgOxxwZmRC9ftRtG4dhy4QUdKwOlQ9FYa067qOPV9+AaFpkJ1OyIoNkCXIig2y0wmhadjz5Rcc0p5CNE1D0fp14QeSBMiy+S+AIg5ppwRWVVXVeKAzQlOTfkg7rwGoLm4TRBSv4moYeyAQgMPhMC2LPN66dSsAYMeOHQiFQujZs6epXK9evQAA27ZtQ15eXos/WwgBr9fb6PP7Pvukfo/O+m+CnR8tR4fxJ7b48xOJv6QY3uIiKG43dF03Ll4ifxWXG97ifSjfuQOu9jmxrGqr8vl8pr+pjOvioENdFx6P50hUhxrRXBuw/cnHLL3P9icfg+u6G6NVrbh0YMvm8NB1mw2AZFzACCEgSRJgs0GtrkLRjz+g7dH5sa1sK0rl415praHrkeCmQZIAISDUEHZ/+QWyhw5r/QrGyOFsE2wDWldzbcCWp5+w9D5bnn4CfS6/KlrViju8BmhcqrYB3CYax2sAotiKq2DnUUcdhR9++MG07LvvvgMA7N+/3/S3bdu2pnKRx5HnWyoUCmHjxo2NF7DYY7SssBBlTb1PMigrA7xeQAAIBo3FxoFcCMDnxfZNm4HikobfI4kVFBTEugpxg+vioJaui6FDmfOwNTXbBljtkSBE0++TDH4tAHQdkGRoqJW7Tq/ptacLQNexa+tW7FJTrydfSh73fi04+P/a+0qd/abo1wIUedJap05x5FC2CbYBravZNsDvt/Q+ut+f3G0ArwGalXJtALeJZvEagCg24irYeeGFF+L222/HggULcOaZZxoTFCmKcsQ/2263o3fv3o0+v694H8qK9jX7Pll5eejQr180qxZ3/CXF2F2wFYrDCdnhgKZp8Pl8cLvdUBQFejAITQI698lPqTt4Pp8PBQUF6N69O9xud6yrE1NcFwdxXSSG5tqAjcuXWAt4ShL6JXkbcMCmYPeWTcbQdSEEdF2DLCuQJAk6VEDI6NyrV8r17EzVfb3UW42iHb+GH0R6dgph/j+A3KO6IzvJ94/aUnmbSDTNtQGbPvsYuoXeWbLLhT5JvI3zGqBxqbq/c5toXKpuE0TxIq6CndOnT8fmzZtx//3345577oHdbsc111yDBQsWIDc3FwDQrl07AEBlZaXptQcOHDA931KSJDXZZbzrxFNQ9u03TV/sShK6TjwFNltcrdaoc3fthoqcXHj37YXN5TKWK4oCWZYR8vvg6dAJmV27hYc0phi3283hBzW4Lg7iuohvzbUBPS6/CtufmN/s+/S4/Kqk/51dAwehaNVnxuREkeN8+K8AVBW29DbIHTgIshxXqcFbRSru687RY1C8+svwUPbaQU7AOG+SbHZ0Hj2mVW5gx5tU3CYSTXNtwNF/uCI863ozjv7DFUn9W/MaoHmptr9zm2heqm0TRPEirq5CZFnGbbfdhjVr1uDdd9/Fl19+iRkzZqCsrAyDBw8GAHTr1g12ux3btm0zvTbyuG4uz2ix2WzI7Ne/yTKZ/fonfaATCJ8Q5g47HjaXC4GKcujBICAE9GAQgYpy2Fwu5A4blrINGhEln6ysrKiWS2SyLKPT6DGQFAV6IABdUwFdQNdU6IEAJJsNnUaPSclAZ6pSFAW5kVycIpzGwPRXkpA7dFhKBjopOaSnpwNKM+f4ii1cLonxGoDq4jZBRPEqLq9E2rRpg759+6Jt27Z48cUXkZeXh9GjRwMIT1g0YsQILFu2zPSaxYsXo1evXoc0OZFVPc86G5nHDGgw+X7mMQPQ86yzj9hnx5v0vK7ImzAJng4doQUDgM8LLRiAp0Mn5E2YhPS8rrGuIhFRVPWZdclhPZ9Mco4birwJk2BLbwNoWniWYk2DLb0N8k6eiJzjmG8q1eRNmIgOI0ZBstlNyyWbHR2Gj0TehIkxqhlRdHSbdMphPZ8seA1AdXGbIKJ4FFfdEH/44Qd89dVX6NevH/x+P1auXIl3330XTz/9tKk3wJVXXolZs2bhb3/7G6ZOnYq1a9fi/fffx0MPNT+85HD1POtsqNNOx86PlqOssBBZeXkpMXS9Iel5XZHWJQ/lO3dg+6bN6NwnP6WHKBBR8hJCoGjd13BmZUN3uRDavct4zt65C+SAH0Xr1iGtS17KHANzjhuK7CHHoujHH7Br61Z07tUrZYeuU1jehInodOJJ2P3lFyj6tQC5R3VP2aHrlFx0XceeL7+AJMsQig0IHZyIBXYHJE3Fni+/QPaQY1PiGMhrAKqL2wQRxZu4itDZ7XYsX74c8+eH86INHjwYL774Io499lhTuWHDhuHRRx/Fww8/jDfeeAOdO3fGnDlzMHXq1Fapp81mQ4fxJ6Js40Z06NcvJQOdEZIkhZNNF5fA1T6HDRoRJSV/cRH8pSWwp6dDttth65IHX1UV3OnpsLtc0G02+EuL4S8ugju3Q6yr22pkWUbbo/OxS9XQ9uj8lLjIp6YpioLsocNQ5ElDdr9+DHRSUti/eRNUbzUkmx2KzQZhs0HTVCiKLTwxmyRB9VZj/+ZNyOybvBMU1cZrAKqL2wQRxZO4itL169cPr732mqWyEyZMwIQJE45wjYiIiADV74dQNeiKikBZKbRAENA1BLxeqE4H7G3bQagaVL8/1lUlIqIoC1ZWAroOyW5v8HlJkSHUULgcERERxRy7YBARETXD5nJB1zX4S4qhBQKALBv/tEAA/pJi6LpmmomUiIiSg6NNG0CWITS9weeFpgOyHC5HREREMcdgJxERUTOc7XMgNB1CVSHZbJBkGZAkSLIMyWaDUFUITYezfU6sq0pERFHWLr8PbJ40CDUEXdcgdB3QdQhdDz9WQ7B50tAuv0+sq0pERERgsJOIiKhZgZJiyIpyMLApdEAAQhwMgMqKgkBJcayrSkREUSbLMjqNHgNIEnS/H3rAD6gq9IAfut8P1DzPvMVERETxgS0yERFRM1S/H5Isw5WTA8XpBHQd0DVA16E4XXDl5ECSZebsJCJKUu7cXNhrhrObyDLs6elw5+bGpmJERERUT1xNUERERBSPbC4XJJsCWbHB3bETQj4ffFVVcKanw+52Qw8GIWwqc3YSESUhIQSK1n0NSVbQpnsPhKqq4K+uhistDfb0dAT3V6Bo3TqkdcnjDNRERERxgD07iYiImuHKyYUruz1C1VUQug4RCgGqChEKQeg6QtVVcGXnwJXDnj1ERMnGX1wEf2kJ7OnpkCQpPCu7zQbJbockSbCnpcNfWgx/cVGsq0pERERgz04iIqJmSZKE3GHHY/t/30FlwfbwMHYA/uoq+EuK4WjbFrnDhrFHDxFRElL9fghVg66oCJSVQgsEAV1DwOuF6nTA3rYdhKoxlQkREVGcYM9OIiIiC3xFRQhVVhqBToOuI1RZCV8Re/QQESUjm8sFXdfgLymGFgiE83bW/NMCAfhLiqHrGlOZEBERxQkGO4mIiJqh6zr2fPkFIARklwuy0wXYbJCdLsguFyAE9nz5BfS6gVAiIkp4zvY5EJoOoaqQbDZIsgxIEiRZhmSzQagqhKbD2T4n1lUlIiIiMNh5SHRdx4Etm4FfC3Bgy+aUvrgVQsBfUgyUlcFfUgwhRKyrREQUdfs3b4LqrYZkswMAdDWcs1NXQwAAyWaH6q3G/s2bYllNIiI6AgIlxZAVxQhshtsADboaMgKgsqIgUFIc66oSERERmLOzxYq/WY89X34BtboK0HXs3rIJRas+Q6fRY5Bz3NBYV69VVRXuRNG6r+EtLgK8Xuwu2IqKnFzkDjse6XldY109IqKoCdYMX9c1Dah9U0fTwsskCZIkhcsREVFSUf1+SLIMxe1B6MB+ox0QugYhSbC3bQdJlpmzk4iIKE6wZ2cLFH+zHoUrPoRaVQkoCqDYAEWBWlWJwhUfovib9bGuYqupKtyJwhUfwrt3LxSHE3B7oDic8O7bi8IVH6KqcGesq0hEFDWONm0gdN0c6KxNCAhdh6NNm9atGBERHXE2lwtaMIjQ/opwOxCZjE6SACEQ2l8BLRhkzk4iIqI4wWCnRZF8bULTIDudkBUbIEuQFRtkpxNC01ImX5sQAkXrvobq88OZmQnZ4QAkCbLDAWdGJlS/H0Xr1nFIOxElDU+PnlEtR0REicOR3R6qzxd+IEn1/wFQfT44stvHsJZEREQUwWCnRbXztUmSebVJkpxS+dr8xUXwl5bAnp4OKXJnu4YkSbCnpcNfWgx/MWcmJqLksHv50qiWIyKixHFgy2YIUdOhQQgg0tO/Vo9/IWpy+hMREVHMMdhpUSRfm6Q0vMokRQZ0PSXytal+P4SqQbY1nPJVttkgVI15i4goaQQqKqJajoiIEkfkOqBJKXIdQERElAgY7LTI0aYNIMsQWsMnOkLTAVlOiXxtNpcLkk2BrqoNPq+rKiSbwrxFRJQ0lHRrx3ar5YiIKHHY09Nr/ieF/9XO2RlZZipHREREscRgp0Xt8vvA5kmDUEPQNA1aKAiEQtBCQWiaBqGGYPOkoV1+n1hX9Yhz5eTCld0eoeqqenk5hRAIVVfBlZ0DV05ujGpIRBRtVnMQM1cxEYXPh/wlxUBZGfwlxcxjnuCcmVk1gU0ByHXydco1yyUpXI6IiIhiruFxyFSPLMvoNHoMdixbAgRqDc9WVQhVBSQJnUaPgSwnf/xYkiTkDjsehSs+RKCiHIrLDQgBPRhEyO+DzeVC7rBh9fJ5EhElKq2qKqrliCh5VRXuRNG6r+EtLgK8Xuwu2IqKnFzkDjse6XldY109OgR6MACb2w21ujo8nD1yjiuEkbPT5nZDDwZiWEsiIiKKSP7IXBRV7thhnNDUI0T4+RSRntcVeRMmwdOhI7RgAPB5oQUD8HTohLwJk3gyT0RJxZmREdVyRJScqgp3onDFh/Du3QvF4QTcHigOJ7z79qJwxYeoKtwZ6yrSIbC5XLCnp8ORmQXJZjsY5BQCks0GR2YW7OnpTOFEREQUJxjstEhVVZRv3NBkmfKNG6A2kscyGaXndUX3M85C++Ejga5Hof3wkeh+xpkMdBJR0sk5aUJUyxFR8hFCoGjd11B9fjgzMyE7HIAkQXY44MzIhOr3o2jdOg5pT0CRFE6SLMGdlwfZ6QRkGbLTCXdeHiRZYgonIiKiOMJgp0V7P/248V6dEUKEy6WIqsKdKPjvOyj5ag2w81eUfLUGBf99h70WiCjpFL7zZlTLEVHy8RcXwV9aAnt6er1UPpIkwZ6WDn9pMfzFRTGqIR2qSAqnUGUlvAUF0AMBQNehBwLwFhQgVFnJFE5ERERxhMFOi/wVFVEtl+g4TIuIUklo/4GoliOi5KP6/RCqBtnWcEp82WaDUDWofn+Dz1N82/3ZZ9CDwQaf04NB7P7ss1auERERETWGwU6LbOltoloukXGYFhGlGinNE9VyRJR8bC4XJJsCvZGURrqqQrIpzOuYgEKhECoLtjVZprJgG0KhUCvViIiIiJoSd8HOFStW4Nxzz8Wxxx6LsWPH4rrrrsPOnfV7Cb7++uuYPHkyBg4ciDPOOAMff3yEh49bHZaSAsNXOEyLiFJN8IC1HptWyxFR8onkdQxVV0HXdWjBIBAMQgsGoes6QtVVzOuYoAqXLo5qOSIiIjqy4irYuXbtWlxzzTXo3bs35s+fj9tuuw0///wzLr30UvhrDfn54IMPcMcdd2Dq1Kl4+umnMWTIEFxzzTX47rvvjljd1EprF7BWyyUyDtMiolQjNTJ08VDLEVHyieR1lCQJ1YU74S/aB1RWwl+0D9WFO2ueZ17HRBSwmKbKajkiIiI6shqOVsXIBx98gM6dO+Oee+4xTgSzsrLw29/+Fj/99BOGDRsGAHjkkUdw2mmn4frrrwcAjBw5Eps3b8b8+fPx9NNPH5G6uTIysN9iuWRXe5iW4nDUe57DtIgo2Shud6O52uqWI6JUVzuYKRpZTonEmZGB6p07LJUjIiKi2Iurnp2qqiItLc10x7tNm3AOzEj+x507d6KgoABTp041vfbUU0/F6tWrETxCvWrajxkX1XKJrPYwrbp5OYUQHKZFREmnwznnRbUcESWfSE5zoetI69oNrtwOQJu2cOV2QFrXbhBCZ07zBNVx4ilRLUdERERHVlz17Jw+fTreffddvPTSSzjjjDNQUVGBf//73zjmmGNw3HHHAQC2bQsnB+/Ro4fptb169UIoFMLOnTvRq1evFn+2EAJer7fR5/d99oml99nzyUp0GH9iiz8/0bQdMBD+sjL4y0ohudyAEAj5/RB+HxSXC20HDIDP54t1NVtV5Pum2vduCNfFQYe6LjweTnTTmpprA3YtXGDpfXYtXIA2V14TrWrFPSEEDuzaBZSVYX9hIUSXLik7RJfHvYNSdV34S4rhLS6C4nZD6DqgKIDDASgKhK5DcbnhLd6H8p074Gqf0+R7sQ1oXdG6Dtj76ccpcR0Qkar7ekO4LsK4Hg7iNQBRbMVVsHPYsGGYN28ebrrpJtx9990AgH79+uGZZ56BoigAgP37w4PJ27Zta3pt5HHk+ZYKhULYuHFj4wUKCy29T1lhIcqaep9k0q07sKMAqKoCdA2BgAKkpQNdj8Kv+w8A+5M/f2lDCgoKYl2FuMF1cVBL18XQoUOPTEWoQc22AYGApfcRgUDT75NMysvDbUB1NaBr2P3z/7A7LS3cNmRmxrp2McPj3kEpty7KygCvNzxyvdZII+NCVwjA58X2TZuB4pIm34ptQOvidcDhSbl9vQlcF2FcDwfxGoAoNuIq2PnNN9/gz3/+M2bMmIETTzwRFRUVeOyxx/DHP/4RL7/8MlxHMAek3W5H7969G31+X/E+lBXta/Z9svLy0KFfv2hWLa6JUaNwYNcu7P71V3Q+6ii0TfFePQUFBejevTvcKZ63j+viIK6LxNBcG/DzJysgLAQ8JacTfVOgDfDu3oWi77+FFvBDSk9HIBSC024P9+7fUYDc7kfB07lLrKvZqrivH5Sq68JfUozdBVuhOJyQHQ5omgafzwe32w1FUaAHg9AkoHOf/GZ7dlLr4nXAoUnVfb0hXBdhXA8HcV0QxVZcBTvnzJmDkSNH4pZbbjGWDRkyBCeeeCLeffddnHfeeWjXrh0AoLKyEjk5B08UDxwI9yKMPN9SkiQ12WW8y8kTUfbN+mbfp8vJE+FoYNKeZCbl5WF3ZSXa5eWx2z0At9ud0utBCAF/STFQVgYppz3cWVkpGwCvLdW3i3jXXBvQ6cKZ2P3cM82+T6cLZyb97yyEwN6ffoQeDMKZlQ3V7wdCIchOJ2xZ2QhWlOPATz8hu1fvlNz3ua8flGrrwt21GypycuHdt9c0SaOiKJBlGSG/D54OnZDZtVtK7hvxrLk2IHfcCZauA3LHnZBS23xEqu3rTUnldcFrgIal8jZBFEtxNUHR1q1b0bdvX9Oyjh07IjMzEzt2hGdA7NmzJ4CDuTsjtm3bBrvdjq5dux6RulVv2xrVckTJqKpwJ7a/+zZ2L1sC/O9H7F62BNvffRtVhTtjXTWiw7Lv1ZeiWi6R+YuL4C8tgWy3wb9vLwLFRUBVJQLFRfDv2wvZZoO/tBj+4qJYV5WoVUmShNxhx8PmciFQUQ49GASEgB4MIlBRDpvLhdxhw3jxn4B2vv1GVMsRJRteAxBRvImrYGfnzp3xv//9z7Rs165dKC8vR5cu4eFwXbt2Rffu3bF06VJTucWLF2PUqFFHrFdlsLIyquWIkk1V4U4UrvgQ3r17oTicgNsDxeGEd99eFK74kCc7lNC0Wvn3olEukal+PzSfH4GKCmiBACDLgKwAsgwtEAgv9/nDPT6JUkx6XlfkTZgET4eO0IIBwOeFFgzA06ET8iZMQnrekbkpT0dWyGIeeqvliJIJrwGIKB7F1TD2888/H/fccw/mzJmDk08+GRUVFXj88ceRnZ2NqVOnGuVmz56Nm2++Gd26dcOIESOwePFi/PDDD1i4cOERq5tkMV+o1XJEyUQIgaJ1X0P1+eHMzISu60AwCNnhMHq4FK1bh7QueezRQolJUQBNs1YuySlOF9RAAELToDgcEAKApEOSZEh2GVowCDUQgOJke0ipKT2vK9K65KF85w5s37QZnfvkc+h6glPapAP7K6yVI0ohvAYgongVV8HOWbNmweFw4JVXXsGbb76JtLQ0DBkyBA8//DAya83sOm3aNPh8Pjz99NN46qmn0KNHD8ybNw/HHnvsEavb/v9tsFwud+CgI1aPeKPrOg5s2Qz8WoADNgWugYMgy3HVYbhV1M5R4y8phjvFLmoiw1rt6en1vrckSbCnpRvDWt25HWJUS6JDZ2vTFmpp07MnR8olPwEJAgLhyaVNz9Q8lsLPtnbFiOKGJEnhSYiKS+Bqn5NS5wRJSbZ4yWS1HFGS4DUAEcWruGqRJUnCBRdcgAsuuKDZsueeey7OPffcVqhVWPCAtWEpVsslg+Jv1mPPl19Ara4CdB27t2xC0arP0Gn0GOQcNzTW1Ws1VYU7UbTua3iLiwCvF7sLtqIiJxe5w45PmeFqqt8PoWqQ0xo+pMg2G9RqjcNaKXFZ3XZTYBvXIr02A34INRQewi4EhK4DugZZUaA4XeEh7kRESUD4vFEtR5QseA1ARPEq9brgHSJHhrVZ3q2WS3TF36xH4YoPoVZVhodtKjZAUaBWVaJwxYcotjBjZTJgjpowm8sFyaZAV9UGn9dVFZJNMc1OS5RI7BaHJlotl8hsLhcUtwuOjAwoTieg68Y/xekML3e7uL8TUdLgdQBRw3gNQETxisFOi/KmnRnVcolM13Xs+fILCE2D7HRCVmyALEFWbJCdTghNw54vvwjnbElidXPUyA4HIEmQHQ44MzKh+v0oWrcOou44zyTkysmFK7s9QtVV9b6vEAKh6iq4snPgysmNUQ2JDk/2aWdEtVwii+zvuqrC0T4nnKPO7oDSJh2O9jnQVZX7OxEllQ6TT41qOaJkwWsAIopXDHZadOCH76NaLpHt37wJqrcaks0OSTJvQpIkQ7LZoXqrsX/zphjVsHW0JEdNspMkCbnDjjcSkevBICAE9GAQgYpy2Fwu5A4bxpxllLAKF/wnquUSWWR/F6qK6l8LECorA/w+hMrKUP1rAYSqcn8noqRS+MaiqJYjSha8BiCieMVgp0UBCzMwtqRcIgtWVgK6DklpePORFBnQ9XC5JGbkqLE1nqNGqKmToyY9ryvyJkyCp0NHaMEA4PNCCwbg6dAJeRMmpUz+UkpSjQzPOuRyCc5XVIRQdXWDMxSFqqvhK0r+mzxElDpClVVRLUeUTHgNQETxKK4mKIpnqt0e1XKJzNGmDSDLEJoOyVY/4Ck0HZDlcLkkVjtHjeJw1Hs+FXPUpOd1RVqXPJTv3IHtmzajc598ZKbYzPREyS6SygS6DtntDvfgUNXwjR9JgggEsOfLL5A95FjIMu+pElEScLmAaguBzBQ65yOqjdcARBRveBViUYXFCXeslktk7fL7wOZJg1BD0IUOIXRIAITQw4/VEGyeNLTL7xPrqh5RzFHTOEfbtnBmZ8PRtm2sq0JEUVY7lYksyeELGTn8V06hVCbUMF3XoVZXoY0sQ62uSvr83ZQatIC1UTpWyyUDIQT0YABOSYIeDKREjnpqmiRJcLXPAbKy4Gqfw0AnEcUUg50WiVAoquUSmSzL6DR6DCDL0P1+CFUFhIBQVeh+P1DzfLL36GGOmvpC3mpUFe5EsKgI2TYFwaIiVBXuRMhbHeuqEVGURFKZQJYgdA1C1yEDELoOoWuALKVEKhOqz1dWiootmxHatw+ZNgWhfftQsWUzfGWlsa4a0WGRgsGolkt0PN8jIqJ4l9zRqCiSLQ5Pt1ou0bk7d0bmMf2huFzhC1xVhdB1KC4XMo/pD3fnzrGuYqtgjpqDQt5qePfsherzAbIMVSD81+eHd89engATJQlHmzbh4eqaZvTkifTnEUJAaBogSUmfyoTMfGWl8O7ZG77pK0nhbUKSIEIqvHv2MuBJCU1xu6NaLpHxfI+IiBIBc3Za1OsPV2DLvLmWyiU7TdMQKC1F2+49kN7tKPj27oHq88HmdsPdsRNkWUagtBTunFwoihLr6h5xzFETDnD4S0uhaypkh8MYtijJMmSbDD0Ygr+0FDa3J6XWCyWPtNPPQvV771gql+zaHp0PxeUKX+hKkmmfjgQ7bW432h6dH8NaUmvSdR2+4mJAhHN2GyQJkADoAr7iYjgzMpN+1Aclp47nno+dzzxpqVwy4/keERElCp5xWuRxOMIn7U2RpHC5JBcoKzNm4JVlGWmdu6Btz15I69zl4EWMEOFyKSLVc9RogQC0QACy3V7vu0uSBNmmGGWIElGOxV3aarlEJkIhZPTtB0mWjV79Qgijl78ky8jo2y8l0rpQWKiyMpzSpiZ3a21STcBTqCpCKZTagPkMk4tSUgzYmukjYrOFyyUx0/kewilLZAmArkNC6p7vcX8nIoo/DHZaJDQNPX8zo/GApySh529mhIfvJTk9ZC0fkdVylPiEpkHoovH9Q5YhdJES+wclr+5nnHVYzycLoWlo26MXsgcPgeJ0hfdrVYXQNChOF7IHD0HbHr24v6cQPRQyboI2SJLCOa1TJADOfIZJSNfR/dRpjQc8bbbw80k+IVfkfE/oOlS/D3ogAIckQQ8EoPp9NTe+Uut8j/s7EVF84jB2iyRFgR4KovvpZ6KyshKlqz4FVBWw2ZA97gS0adMGeigIKQWGbct2a71XrZajxCcpCiQ5fDHbYMBT1yHJUkrsH5Tcup9xFoqLi1G9+gtjWdqoMcjJyYlhrVpXeD8WSO/aDZ4uefDt2Y2g1wuHxwN3p841PfwF9/cUItvtTY9+qWkbUiGveSSfoa6pRj5DZ618hp5OHWH3pMW6mtRSsmwEPL1eL0q/WAUtGITicCB7zDh4PJ6D5ZJY5Piv+Wtmna+dn1fToWn+cK/PFDn+c38nIopfDHZapMuy0WuhTZs2aHPqNAghzMO1hAiXS3JK27bAvr3WylFKUJxOKE4nVF/4JLf2sCYhydBVDTa3C4rTGeuqEh22nJwc5JxxVv02IEXIDkd4iJ4uwqlMuuTBpWkHczTrAkIIyCmQ1oXC7G3aQLLZIEIqhFSrh6cIbwsQgGS3wZ7kk1Yxn2ESy8k1zn09Hg88kyY33Abk5Magcq3HOP4LUT+wKwHQkTLHf+7v9dUbzu92p8x3J6L4k/yRuSjx720+uNeScoksVGptRlWr5SjxSZIEV3Y2JAlQfV7ofn94WJPfD9XnhSSh5nme8BAlOj0YNPIwou7IZQFACh8T9CBTmaQKWZbhzskBUBMEESJ8ghkJikDAnZOT9JMTMX918pLKrJ3TWi2XqIzjf60c/aa/spQyx3/u72Yczk9E8Sa5zzqjiHkqD+K6oEYJmIeyS1LNslhWioiiKZyLTYLickFSwqMeJCD8V5GhuFwApJTK2UYEMH91MrP6myX7b2sc/51OSDUBz8jWLslyzQie1Dj+c38/KDKcX/X5jOH8qDWcnwFPIooFBjst0izOqme1XCJjzk6qKzKUR0BA8XggOZ0I6gKS0wnF44YAws+nwP5BlOwiOXolWYbN5YbsdCIoBGSnEzZXeMgac/SmFl3X4SuumYVakgBJgl7r/4AEX3GxMcwzWZnyVzeE+asTl9XzlyQ/z6l9/FdcLvP5nsuVUsd/7u9hdYfzG0FwWYbssEPXNF4DEFFMMNhpldXhGCkwbMOVay0fkdVylPhqD+WRJTl8l79mlKssySk3lIcomUVy9OohFbquQ+h6eES7rkPXdeiqZpSh1BCqrIRQwxN01OvlVJPyQKgqQpWVsalgK6m9b9S9sBdCcN9IZAx2AjBv40A4oKXX/AWQUts49/cwDucnonjFYKdVPMkx2Gw22Nu1a7KMvV072Gyc/ypVRIbyCF2H6vdBDwTCOTsDAah+H4QQKTOUhyjZRXL0QujQvNUQwSAckgQRDELzVgNCZ47eFKOHQuHzH10P/6uds7PmMYQIl0tikX1DVhTowRBETU9WoevQgyHIisJ9I1FZ/c2S/LflNn4Q10UYh/MTUbxisNMqq0MQknyoQoQ9Le2wnqfkEh6iI6D5/eGTGUkKp+mUJAhNh+b3AxBJP5SHKFWofj90VW3wOV1Vofr9rVwjiiXZbo9quURm96TB06kjbG4XoOuwSQj/dbvg6dQRdg/PjxISrwMM3MYP4rrgcH4iil8Mdlpk79wlquUSmSk3V01a8oPNW+rk5qKDZIcjPISn7qycNbPwhifoFZAdzONKlOiMNkDUTL0O4ODRPjwpGduA1KJYvMFptVyis3vSkNYlD7bMTFRqOmyZmUjrkpcSgY+klZkV3XIJzu5JQ3peVzhyc1GqanDk5iI9r2tKbuOpvi44nJ+I4hWDnRbJVVVRLZfIjNxcACJhzoMDF8LBrVTIzUUH6cFgeJiOJBnDFY0hjEKE83dKEvQUyGlLlOwaagMOnkywDUhFWrW1mXatlkt0IW81qncVQi0vRxtFhlpejupdhZyROJGVFDdfpiXlkoAkSZAdTgSEgOxwJv1w7aak8rrgcH4iilcMdlqkh6wFaayWS2RGbq6mpEBuLjrIyNfTVBnm6yFKCmwDqC6rv3UqbBMhbzW8e/ZC9fkAWYYqEP7r88O7Zy8DnomKufuJGsXh/EQUjxjstKjhzGSHXi6h2SzmXLFajhKfLEPomvF/1MzOGfk/gPDzMg85RAmPueuoDtluD/fsl+Xw7y5J4TZAkozHkKSkz9kphIC/tBS6pkJ2OIwZqiVZhuywQ9c0+EtL6w31JCJKdKk+nJ+I4k9cRR5mzpyJPn36NPjvgw8+MMq9/vrrmDx5MgYOHIgzzjgDH3/88RGvm6iydifearmEZvUcnefyqUeg3jAVSZK4LRAlE6sj0ThiLWXY27SBZLMBeiR1Sc2Pb6Q2ASSbDfY2bWJb0SNMCwSgBQKQ7fYG20LZphhliBKdEAJ6MACnJEEPBhjEp/A2EQrBIUnQQyFuE0QUU7ZYV6C2u+66C1V1cl4uWLAAy5cvx6hRowAAH3zwAe644w5cccUVGDlyJBYvXoxrrrkGL730EoYMGXIEa8cIn8HqUGQOWU4duh7O1SPU8HD2Wtd4kceyogCcsIQo8akWj+1Wy1HCk2UZ7pwcePfsMY7zMnDwmC9JcOfkQE7y3v2RlC6SrZFIvyxDqBpTulDCC3mr4S8tRcjnQ7ZNQbCoCKKyEq7sbPbkS1G+slL4ioshQiFk2hSE9u1DRVkZ3Dk5cGdlx7p6RJSC4irY2bt373rLbrrpJowZMwZZWeHZDR955BGcdtppuP766wEAI0eOxObNmzF//nw8/fTTR65yigKoFgapp8CwPavD0JJ9uBodJCkKJEWBoijQVRVC08LxTiEgKQpkm80oR0SJjW0ANcTmckFWbNDV+nk5ZcUGm8sVg1q1LklRIMmSuXdrbboOSZbYFlJCi+Sl1TXVyEvrrJWXljkaU4+vrBTePXsBoQOSFO7RKUkQITW8HGDAk4haXVzfYv/mm29QWFiI008/HQCwc+dOFBQUYOrUqaZyp556KlavXo3gEZzpWcrtENVyicyWnt7wSXxtkhQuRylBcTqhOJ0QuoDidEF2OhEUArLTCcXpqlkeLkNEiY1tANUVyVUJWYLs8QAOB4K6AByO8GNZTolclZF2Tg+p9b6rEAK6qrEtTFQOi7+Z1XIJinlpqS5d1+ErLg4HOmXZnMak5uaPr7gYOkd3EVEri6uenXW9//778Hg8mDBhAgBg27ZtAIAePXqYyvXq1QuhUAg7d+5Er169DumzhBDwer2NP19cZO19iovgTfLeC3owEG7MmhqGJcvwVR6AnOQnfbX5fD7T35STlg7h90MLBozJSPXIcD1ZBtLSU3LdHOp24fF4jkR1qBHNtQEtEa33iVdsAxqWym2AHgwgVDP7uAQAkgSt5i8ACFlCyOdD9f6K5N8mIm1hIGAkNtJDofD/W9AWsg1oXc22AUGLeVaDgaRuA2rv65qmQagqZNRs4zYbkEr7eh2p2gao1VUQoVDjN0ElQIRCqCotgS0ttW6C8hqAKLbiNtipqiqWLFmCk08+2djh9+/fDwBo27atqWzkceT5QxEKhbBx48ZGn++syLA3MOyo7p3LkM+HgibeJxk4JQnZNgUyAKVWwxZZF5oQ0HUde7ZtRyAF7+wWFBTEugoxky7LaKfIUCSpJjl5EJoQ2K/pqDpQGevqxVRLt4uhQ4cemYpQg5prA/IUGYqFNkDTtCbfJxmwDWhaKrYBkW1CrfNze70HL/BsErA7RbYJpyShjSLDLkmwSUAgEEBICFRqOgIW20K2Aa2LbYA1kX1dF4BNkiBJgEOWoAWDEIEgVCEgp9C+3pBUawPayDIybUqD+0KEBGBv4S5UpmjvTl4DEMVG3AY7v/jiC5SVlWHatGmt8nl2u73BnKERvp07gJA5D5UQot5smw63G/26djsidYwXejCAwJ49pl49tdeFTZIARUH3bt1S6q6uz+dDQUEBunfvDrfbHevqtDrN70eotMSYeMEfCMLldEAGkKMo6JzdHkqS93puSKpvF4mi2TZg29Z6yxpqA2w2G/rlH9oIg0ShBwMI7N5tmnCsXhsgy2wDUogeDCBYVASnLEOSZeiaBq/XB4/HDVlRIHQd0HV0z81NmW1CCAF/ZSX27N6NTp07o12bNshpLv0DxQzbAGv0YACBvXtN1wCarkOpGc5uA2quATqmzL4ekaptgFpdhdC+feGenTX7g6ZpB28OCAEIgY55XZCXgj07U3GbIIoXcRvsfP/995GRkYGxY8cay9q1awcAqKysRE5OjrH8wIEDpucPhSRJTXYZ92W3B/buaf6NstsnfddzzelEYNeupgvpOtxt2jZ4FzzZud3upN8G6hJCoKq0BJIQUFwu6LoOPRCE7HBAlmXowRBQXQV3Zma9C4Nkpus61OoqtJFl2HUNLpcr6WcjTlTNtgEteK9k3/9VhwOB5npn6Dpc6W1gs8XtacYRk5JtgNsNUVkJ1eeHbDt4jJMVJdwGqBpsbjfS2mWkVBsgSRICu3bB3bZtym0TiabZNkCSwzkJm30jOal/a93lQnDfvnC6IrnWvhzZr/VwANjTtl3Knu+kWhugu1yoKCuDCKnhLpx1CUCy25Ge3Z7bBBG1qrg84vj9fnz00UeYMmUK7LVmc+3ZsyeAg7k7I7Zt2wa73Y6uXbseuUoV7YtuuQSmVlUBzQ1NESJcjlKCFghACwQg2+31LmQlSYJsU4wyqcJXVoqKLZsR2rcPmTYFoX37ULFlM3xlpbGuGtFhCZaXR7UcJT5JkuDKzoasKNCDoXBPTgBC16EHQ5AVBa7s7JQKdFKSsRLobEm5BKUHg+H9WEK4d7+uhy8ma/4PKXw80I/gpLEUX2RZhjsnJxzw1sXBa0Qhwo8lCe6cnJQNdBJR7MTlUWflypXwer3GLOwRXbt2Rffu3bF06VLT8sWLF2PUqFFwOBxHrlJWc4ykQC4Svc5w/sMtR4lPaBpEzQlNg2QZQhfGEPdk5ysrhXfPXiNhuwDCf0MqvHv2MuBJCU0PWbuItVqOkoPdkwZPp46wuV2ArsNWEwyxuV3wdOoIuyct1lUkosMkNK1mWHJjBQCI1DnfozB3VjY8nTpCstsAIcIdPIWAZLfB06kj3FnZsa4iEaWguBxf9t5776Fz584NJuedPXs2br75ZnTr1g0jRozA4sWL8cMPP2DhwoUxqGlqEhbvzFktR4lPUhRIshQ+AW4o4KnrkGQJUgqkNdB1Hb7i4nDvjtr7gNETQsBXXAxnRibvclNiUiyeOlgtR0nD7kmDze1B9f4K7N62Hd1zc1Nu6DpRUqvJyQsIQFEAIaBrWjhnpyQBmh5+nuc3KcedlQ1nRiaqSkuwt3AXOuZ1Semh60QUe3F3JbJ//36sWrUKv/3tbxs8OZ42bRp8Ph+efvppPPXUU+jRowfmzZuHY489Nga1TU1CU6NajhKf4nRCcTrD+docdtNzQoiafG0uKM7kT1YfqqyEUFVAliFJkml2SkmSICQBoaoIVVbCeRh5holihT07qSlCCOihEBySBD0UanASl1QghIAeDMApSdCDAQi3OyXXAyWpyJBlHOzFB4GGczZSypBlGba0dFTqOvLS0hnoJKKYirtgZ7t27fDTTz81Webcc8/Fueee20o1orqExeHpVstR4ovka/Pu2RvO11aTtF7oOnRVS6l8bXoo1HgPV6DmAkFnmgdKXFaHJ3IYY8rxlZXCV1wMEQodzFVcVgZ3Tk5KDWMMeavhLy1FyOdDtk1BsKgIorISruxsDuenxKbrkGQFQg0hMpbdCHZGHiu2lEjrRURE8Y23W6yyGqRJgWCObLeWG9VqOUoOzNcWJtvtTR8HagKhst3eeBmiOMY2gBrCXMVhIW81vHv2QvX5AFmGKhD+6/PDu2cvQt7qWFeR6JBJigLRzCRMQugpkbaIiIjiG4OdVrVpG91yCcxmceit1XKUPOyeNKTndYUjNxelqgZHbi7S87qmTKATAOxt2kCy2QBdmIawA+FhjRCAZLPB3qZNjGpIdHgki8d2q+Uo8dXLVRy54SNJQE0+Z19xMfQk7+0lhIC/tBS6pkJ2OCDVDOGUZBmyww5d0+AvLa3XNhAlDJut+V77mhYuR0REFEMMdlp1YH90yyUwdb+172i1HCUXSZIgO5wICAHZ4UyJoeu1ybIMd07OwXxWkYtaIcKPJQnunBzmMaKEFdq7J6rlkkG9/IwpFsyqnasYgPm4BwASjFzFyUwLBKAFApDt9nptnyRJkG2KUYYoEQXLy6NajpKLrutQq6vQRpahVlcl/Q0uIopvvO1GLcbJKYiaFslNF8ldF8lnJdntKZe7jpKP1XyzqZKXlvkZa+UqBoy/cuT/kRzGNRMXJTOhaRC6gGRr5CafLEOoGgTz2VKC4jUANYY5m4ko3rBrEbUY87URNc+dlY2Mo/Nh79AB5aoGe4cOyDg6nyd8lPCs5ptNhby0zM8YZvzWjfVojQRAk3ybkBQFUs2w/QbpOiRZYj5DSli8BqCGMGczEcUjBjutcnuiWy6BSenpUS1HySXVh3PWJssybGnpqNR12NLSOXSdkoKemRXVconKlJ/R7oCEcHpKCeGgXirlZ7Slpzc/QaMkhcslMcXphOJ0Qg+p0HUdQtchAxC6Dl3XoauaUYYoETFvP9XFnM1EFK945W2VzxvdcgksuHdvVMtR8gh5q1FVuBPBoiJjOGdV4c6U6d1ElArEPmvHdqvlElUk96Iky9ACfuiBABySBD0QgBbwQ5KllMnPKEKhZnsrSooS7vWTxCRJgis7GxIAzeuDCATgkCWIQACa1wcJCD+fYrmsKXkwbz/VVTtnc0O5ilMlZzMRxR8GO6nFmK+HGsLhnEQpwmq+wSTPSyi0cO5FLRAI52CsPXRP043lqZCfMZyrsuleO0LXU2JdAAh375VgzmMaWUaUwHgNQHWZcjY3JEVyNhNR/GGwk1pMsphzy2o5Snym4ZwOB6Sa4dqSLEN2pNZwTiJKEbIMXdPCk4/VSVERztuI8PMpkL5CFwJoboiirofLJbFIWyiEgM3tgexyISgEZJcLNrcHQoBtISU05uykumS7vek0JjWT1CV7zmYiij/JfwZOUae0aRPVcpT4IkM1Zbu9wSEssk1JmeGcREnPYfEi1mq5RCdJ9YJXItKTL0UELQ5ZtVouUZnaQlkKB8RrRjlIMttCSnzOrCxL+XmdWcmds5kOsrdpA8lmA3QR7uFfq0d7+DEg2Wyw87qQiFoZg53UYjaLV3BWy1HiCw9hFI2fAMsyhC5SZwgjURKzeuKQ9CcYug5JVg4e92oPWQYASQo/nwKTMgjV2vBEq+USFdtCSnaKosCZnd1kGWd2NpRmcvhS8pBlGe6cHAAi3P4JEW7/a/4PCLhzcjhJJxG1Oh51rLJ6gE6BA7nVYQgcrpA6JEWpGbbZyNA8XYckS81OYEFE8Y/DGMMkRYFsU6DUTt0ReU6WodjtkG1KShz3uE2EsS2kVKA002u/ueeJiIhaQ/JH5qLF4YxuuQQmezxRLZcMhBDQgwE4JQl6MJBy+bgUpxOK0wk9pIYnoVBV2GpmXxS6Dl3VjDKpJNW3C0pOzk6dolouUUWOaUIXkJ1OSE4ngrqA5HRCdjohBFLmuGdvpqdXS8slKlNb2EBqg1RtCyl56LoOX3GxaZl5S5fgKy6GngI92imM20TDeA1AFHsMdlrl90W3XAILVVREtVyiC3mrUVW4E8GiImTbFASLilBVuDOlZh+XJAmu7GxA6FCrqyGCQdglCSIYhFpdDQgdruzsevk8kxm3C0pWksV8g1bLJarIcU9WFIiQCgCIXMqJkApZUVLmuKcdOBDVcomq9jahB0PGDPVC16EHQym1TVByClVWQqiqaZl5axYQqopQZWVrVotiiNtEfbwGIIoPDHZSi+mhYFTLJbKQtxrePXuh+nyALEOtmYhA9fnh3bM3pRo11e+HHlIbfE4PqVD9/lauUexwu6Bkpoes5V20Wi6R2T1p8HTqCJvbBeg6bBLCf90ueDp1hN2TFusqtgqeFxzEbYKSmR4KNZ6mIUKIlDj+Uxi3CTNeAxDFDwY7qcUkmy2q5RKVEAL+0lLomgq5ds42WYbssEPXNPhLS1Ni2MLBISw1EzNIUriHU83/AaTMEBZuF5TsgmrDNzUOtVyis3vSkJ7XFY7cXJSqGhy5uUjP65pSQS3m8jbjNkFJS7F46Wi1HCU8YfG3tloukfEagCi+JP9Rh6LO6vE52Y/jWiAALRCAbLfXG5ImSRJkm2KUSXbGEBZZrj8LrSQBNfk7U2EIC7cLSnZqeVlUyyUDSZIgO5wICAHZ4Uy9YcqKxZubVsslgZTfJigpNTaC51DLUeITFn9rq+USWe1rACCcwkSu+QuA1wBErSx1zjopejSLjZXVcglKaBqELiDZGrmAkWUIVYPQtNatWAyYhrDU/JUj/xc1vT1TZAgLtwtKelZ7aKdAT24Kkyz+1lbLEVF8Eqq18zir5SjxcZs4KHINAEmHHgpBaBocsgQRCEBTVch2O4QueA1A1ErYs5NaTLY7olouUUmKAkmWGu/CquuQZAmSorRuxWLAGJrY2LqIBEBTYAgjtwtKela3XW7jKYPD2IlSA68BqC5uEweFz+0FtEDg4AR1Nc8JXa/p0Sl4DUDUShjstEqyuKqslktgUnp6VMslKsXphOJ0Qg+p9XKvCCGgq5pRJtnZ0tPrD1+vS5LC5ZIctwtKem3aRrccJTzZ44lqOSKKT47MzKiWo8THbeIg2eEIn/vrNef/kWujyF9dQAgB2ZH8gV+ieJD8kbloERaHXlktl8CCe/dGtVyikiQJruxsyIoCPRg6eAdP16EHQ5AVBa7s7JTI0yVCoWbvUkqKApECw9i5XVDSs5qLM4Vydqa6UEVFVMslAyEE9GAATkmCHgxwQgpKDqrafK99RQmXo9TAbcKgB4Ph83sJB7t0RggAUvg6QQ8GY1A7otTDYCe1mB6ydoC2Wi6R2T1p8HTqCJvbBeg6bBLCf90ueDp1TJmZV4WmQZKVxk92FAWSrKRMjhpuF0SUSnheYBbyVqOqcCeCRUXItikIFhWhqnAnQt7qWFeN6LAITYOs2Jo835MVW8qc71GtbUJuJKwgyymzTYS/owTF5YKkyIAQkIDwX0WG4nIBkFJiXRDFAwY7qcWYm8XM7klDel5XOHJzUapqcOTmIj2va0oFtCRFgdA1oLHGW9MgdC2lctRwuyCiVMHzgoNC3mp49+yF6vMBsgxVIPzX54d3z14GPCmhRXIS1s5LbhrTJgSYkzC1GNcAjU1Ap+spcw0QydsvyTJsLjdkpxNBISA7nbC53JAkiXn7iVpRXAY73377bZx11lkYOHAgRowYgcsuuwx+v994fuXKlTjjjDMwcOBATJ48GW+++WYMa5t6hMWcK1bLUeKT7PZm71IKTYOUYpNTSJIE2eFEQAjIDieHrlNycLqiWy4JpPqQZaWttfysVsslKiEE/KWl0LXwsE4RDMIpASIYBBQZuqbBX1qactsHJQ9TTsKacxrjzEaSmJMwBfEa4CBT3n4IQJbD6TtlGQLM20/U2myxrkBdjz/+OJ5++mlcccUVGDJkCMrLy7F69WpoNQfRdevW4ZprrsE555yD2267DWvWrMHtt9+OtLQ0TJkyJca1Tw3a3j3Wy2VkHNnKxIGQtxr+0lKEfD5juJqorIQrOztlevGpVVWNzz4eIQTUqioo7dq1TqWI6MgI+Jsv05JyCY5tABAqLbVcztm58xGuTexogQC0QAB6KATU5GSTJQnQdeg+HyBJ0GQJWiAAmyt1bgZQ8ojkJBQQRk5CI9hZcx4YyUkocxtPCbwGOCiSt9+7Z284b78c3juErkNXNebtJ2plcRXs3LZtG+bNm4fHHnsMJ5xwgrF88uTJxv8ff/xxDBo0CHfffTcAYOTIkdi5cyceeeQRBjtbi9U8IymQjyQyXE3XVGO4mrPWcLVUyc+oRyYeijTetU96ai3TU2CCIiJKHWwDwpizM0xoGjR/E0F+IaD5/czXRglLaBr0Ziaa0VWV23gKsXpunyrXAJG8/ZGboAfz9rtT6iYoUTyIq2Hsb731FvLy8kyBztqCwSDWrl1bL6h56qmnYuvWrSgsLGyNapLVu1FJfteq9nA12eGAVJOYW5JlyA57Sg1Xk+328O8thfPUQJbDOZxk2VgvkKRwOSKiJMA24CChWLt3brVcolJ1awEeq+WI4o0uROO5GY1CergcpQShWAsnWC2XDJi3nyg+xNVZ5/fff4/8/Hw89thjePHFF1FZWYkBAwbg1ltvxeDBg7Fjxw6EQiH07NnT9LpevXoBCPcMzcvLO6TPFkLA6/Ue9ncAELX3iVtt2gL7KyyVS+Z1oQcDCNVMQKDrOvSau9iRv0KWEPL5UL2/ArIjuXOz6IoSnoVR0yBqgp4RQtfDPT0VBSFFgZbE20RDfD6f6a9VHo/nSFSHGsE24MhI5nXBNuAg1W/t+Kb6fUm9Tfj27bNUzrtvX7OBX7YBrYttgDWB0hJL5bylJdAam507SR3q+V6iC3itfd+A1wc4k3ffaEhA0xEQAgFNh9yC7YLHf6LokEQcdTmYMmUK9u3bh9zcXNxwww1wu9144oknsHnzZixfvhwFBQW48MILsWjRIgwZMsR4XVlZGUaNGoUHH3wQp59+eos/98cff0Qw2PTQqjxFhmJh5jRN01CoNXPHM8G1kWVk2ZpfF2Wqhsrm7v4mMKckIdumhGdabYRNAkpVDYH42c2OmPRa20XtbxsJe5apGqqSeHuItqFDh8a6CimDbUDLcF2EsQ04KFeR4bawTfg0DUVJvE10VGQ4LayHgKZhbzPrgW1A62EbYF17RUaahfVQrWkoSeL1QAdlKjLaWtgmDmgayrlNWMLjP1F0xFXPzshd1blz56Jv374AgMGDB+Pkk0/GwoULMXbs2CP22Xa7Hb179270ed+2rQ3Wt26CYZvNhn75vaJev3iiVlchVKf3QkPromNeF+Slpbdm1VqVHgwgWFQEZ81QbV3T4PX64PG4IStKuEejrqN7bm7S9+qJCB3YD7W8HNA06EKEJ2ZQFNgyM9G1bXInJW+Mz+dDQUEBunfvDrfbHevqUCPYBljHdRHGNuCgwL690KurTcsa2ibS27VDdoeOrVm1VuXfsxuiTu+dhtaDu00b9OuUvBM1JSK2AdYES4qhHThgWtbQemiXlYWc9jmtWbWYS9XzvVBFOdSyMtOyhraJ7NxcdMzIbM2qxVyqbhNE8SKugp1t27ZFRkaGEegEgIyMDBxzzDH45ZdfcNpppwEAKisrTa87UNPotjuMGd4kSWqyy3hLBiQke9fzkN1eL9jZEHdGJuxJnKNRuN0QlZVQfX5IigRJkiAjvC1JkgToAja3G2ntMlJn1j2PB3puB1SVlmBv4S50zOuC9Oz2kFNsKFOEEAJ6MACnJMGpyHC73amzLSQYtgHW+TxpgLe6+YKetKReF7XbAFmRAUmHLIVn35YlGbqupUwbIHXsBO/WX5ot5+rYKakv+OQueaj+ZUuz5Txd8uDiTNVxhW2ANXJuB1TXCXY2xJXbIWW3cbfbndTbQF1Bmw2VdYKdDXG3z4HD4WiFGsWfVNsmiOJFXEUgmrqjGggE0K1bN9jtdmzbts30XORx3VyedGSEKiqiWi5RSZIEV3Y2JACa1wcRCMAhSxCBADSvDxIQfj7JL3LrkmUZtrR0VOo6bGnpKRvoDHmrUVW4E8GiImTbFASLilBVuBMhK0EionhmdRtO8m3daAMkQPV5ofv9cEgSdL8fqs8LSUqdNkArL49quUQlBQJRLUcUb+r24DvccpT41P37o1qOiCha4ioKcdJJJ6GiogIbN240lpWXl2PDhg3o378/HA4HRowYgWXLlplet3jxYvTq1euQJyeiltFDTec1amm5hCfV/IvkZBPi4DJKSSFvNbx79kKtmbxEFQj/9fnh3bOXAU+iZCJQc9yvOehLUs2yWFaqdfG8IEwPhaJajijecF+nurhNEFG8iqtg58SJEzFw4EBce+21WLx4MVasWIErrrgCDocDF154IQDgyiuvxHfffYe//e1vWLt2LR555BG8//77mD17doxrnzq0KJdLVEII+EtLIYSAze2B7HIhKARklws2twdCwHieUkdku9A1FbLDAammZ6sky5Adduiaxu2CKAkYbQAEFI8HktOJoC4gOZ1QPG4IpE4bIFlMWWO1XMKyMHlji8oRxRnJZi0DmtVylPi4TRBRvIqrYKcsy3jqqacwZMgQ3HnnnbjxxhuRnp6Ol156CTk54STXw4YNw6OPPor169fj97//Pd5//33MmTMHU6dOjXHtU4daJ2fq4ZZLVFogAC0QgGy31xumKEkSZJtilKHUwe2CKDWY9nVIgK6HO3fqOiSk2L4uWwzeWS2XqKzGtZM//k3JSrEYsLJajhKe1ft5KXDfj4jiTNy1RFlZWXjggQeaLDNhwgRMmDChlWpE9eh6dMslKKFpELoAJB1aKAChaeF8bYEAhKpCttshdAGhJXsfV6otsl1ItkbyGMgyhKpxuyBKcJF9Xeih8LBkIeCQJIhgEGooBNluByClxL4u6da+o9VyCcvqb50C2wQlJ+7rVI+mRrccEVGUxFXPTkoMssVhCFbLJSpJUQAIaH5/+GJWksKdNSQJQtOh+f0ARE05ShWSokCSpcZvYes6JFnidkGU4CRFgdA16MFg/f1dCOjBIISupcS+LtutzbBrtVyiki0O07dajijecF+nurhNEFG8YrCTWkzp0DGq5RKV7HCEc7HVnpgiQgIgwjndZAcb91SiOJ1QnE7oIbVerj4hBHRVM8oQJSQOWQYQzj/ZXK9NoWnJn6cSgNymTVTLJSrZ44lqOaK4k5YW3XKU8ITF45nVckRE0XLYwc6ioiL8/PPP8Hq90agPJQBRWhrVcolKDwbDORll+eBsvKj5KwDIEiRJCvf6oZQhSRJc2dmQFSXcs0tVIUuAUFXowSBkRYErO7tePk+ihGF1eGKSD2NUq6qaT0ImRLhckgsWFUW1XKIKVVREtRxRvAnu2R3VcpT4grt3RbUcEVG0HHKw86OPPsKUKVNwwgkn4Oyzz8b3338PACgrK8NZZ52Fjz76KGqVpPiih6wF76yWS1ThHj1SzXD9cA9PGai5+BU1y1MjXxuZ2T1pcGRmQAgBEQwaefyEEHBkZsDuYY8HokSnh0Lh/0hSA737Dy4zyiUxnheEcT1QsrN6PEuF4x6F6aq1XJxWyxERRcshBTtXrlyJ2bNnIzMzE1dffbVpqGZWVhY6dOiAN998M2qVpPjC3CxhkZydkYkpIEnQgfAFroic6DFnZyoKeasRLK8IP3A4ENQF4HAAkBAsr0DIWx3L6hFRFMh2uxHUlGQZkOVwGyDL4ccAIEkpkZ+R5wVhXA+U7JiXluriXA5EFK8OKdg5f/58DBs2DK+88gouuuiies8PGTIEGzduPOzKUXyy5eZGtVyiMuXslOWDPXskCeFxy6mZs1MIAT0YgFOSoAcD9fJWJjshBPylpdA1FYrTCdlmg47wSZ7idEDXNPhLS1NuvRAlG3ubNpBsNkAXDebnhQAkmw32JM9TCQC29u2jWi5R2TMyolqOKN7YO3aKarlkkcrnvs4ueVEtR0QULYcU7NyyZQumTp3a6PPt27dHaZLna0xlmsXf1mq5RGXK2QmYc3YCKZmzM+StRlXhTgSLipBtUxAsKkJV4c6U6smoBQLQAgHIdnu9vJySJEG2KUYZIkpcsizDnZMTvsGlC3MboId7+7tzciDLyT8XpFpSEtVyiUq3mL/eajmieCP2749quWSQ6ue+isWUBVbLERFFyyGdgbvdbvh8vkaf37lzJzJ41zppMSdVWCRnp+J0GkMWI6EtSZZrZttOnZydIW81vHv2QvX5AFmGKhD+6/PDu2dvypz0CU2DqAl0NEiWIXSRMtsFUTJzZ2XD06kjJLsNECLcBggByW6Dp1NHuLOyY13FVsHzgjDmM6Rkx33djOe+PO4RUfw6pGDniBEj8M4770BtINFwcXExXnvtNYwdO/awK0fxSbKYh8dquUQlKQokOZyrTXG5IDmdCOoCktMZfixJ4edTIGdn7aHbssNxMPgry5Ad9pQauh3ZLhqdpVnXU2a7IEoF7qxsZBydD3uHDihXNdg7dEDG0fkpE+gEAGHxeGa1XKISFnvxWi1HFHes5l1MgfyMPPcNszrtEKcnIqLWdkhnW9dffz327t2Lc845B4sWLYIkSfj888/x0EMP4fTTT4cQAldffXW060pxQrKYg9JquUSlOJ1QnE7ooXDzLdVMThE52dFVzSiT7GoP3RZCQFdVKAjPvCiESKmh27W3i4by+KXSdkGUKmRZhi0tHZW6DltaekoMXa9NaHpUyyUqoVm7nLdajije2NyeqJZLZExbFKZVHohqOSKiaDmks/GePXvi5ZdfRkZGBubOnQshBJ599lk8+eSTyM/Px8svv4y8PCYhTlaybu1ixWq5RCVJElzZ2ZAVBXowBFHzfYWuQw+GICsKXNnZ9U6AklFk6LYeCkHzeoFgEA5ZAoJBaF5vOOiZIkO3uV0QUaqRLAbvrJZLVMLiME2r5YjijWTx3N5quUTGtEVhPO4RUbw65DEGRx99NJ5//nns378fv/76K4QQ6Nq1K7KysqJZP4pDst1aj02r5RKZ3ZMGT6eO8JeWIuTzwSYB0HXY3G64srNh96TFuoqtQlIUCF2DaCC1BYQIT+Zks6XM0G1uF0SUSmS7w9JkfMl+XsDzI0p2ssUUVVbLJTJT2qKGAp4pkraIx38iileHPc6qXbt2GDRoEAYPHsxAZ4qwW5x8ymq5RGf3pCGtSx5smZmo1HTYMjOR1iUvpQJakt3e7J1roWlJn8e1Nm4XRKlDVVUES4rRXpERLCluMKd5MrN36BDVconKmZXVeC+vCEkKlyNKQJLbHdVyicyUtkgXgK5Drrm5LfTUSVskMjOjWi5ZCCGgBwNwShL0YCDpc7cSxaND6tn5zjvvNFvG6XSiY8eO6N+/PxxJnrsx1eher/Vy7dod4drEXshbDX9pKVSfD20UGWp5Oar9/pTqwadWVTU+IU+EEFCrqqCkwDYBcLsgShUHdu5AaP9+AECaokA7cAD7DxyAvV07tO3aLca1ax16RYX1cp7kzeWnKAqc2dkIlJQ0WsaZnQ0lyXt6UfIKNrFt1y3n6Nz5CNcmtiJpi6p37YLq8wK6DockQff7ocsyFLs9JdIWaXv3WC+XIh1hItcAIZ8P2TYFwaIiiMpKXgMQtbJDCnbecsstxoG77l2K2sslSUJ6ejr++Mc/4g9/+MNhVpXihW4x54rVcoks5K2Gd89e6JoKyDJUAThlGarPD++evfB06pgSjRq3CTNuF0SpoXags67Q/v04gB0pEfDUQ80PYWxJOSKKT9zXGyBwcCi78bdmeSqwmpM0yXOXRvAagCh+HHLPzltuuQUZGRm46KKL0K1b+ET+119/xUsvvYTKykrccccdKC0txYsvvoh///vfSEtLw4UXXhjVylNsBC02VkFNQzIPYhFCwF9aCl1TITsc0GuSsUuyDNkmQw+G4C8thc3tSfq7upLNWi8Vq+USGbcLotSgqmqjgc6I0P79UDupsNkOOUV6QmAevzBN0xAoLW2yTKC0FO6cXPbupISkwdp5i9VyiSxyvicgoHg80DUNwWov3G4nZEWBCKmpcb5ndXh2Cgzj5jUAUXw5pJydCxYsQHZ2Np5//nlMmjQJffr0QZ8+fXDKKafg+eefR2ZmJt544w1MnDgRzz33HAYPHoxXXnkl2nWnGFHLy6NaLlFpgQC0QACy3Q4JkilXjwQJsk0xyiQ7nuccVHu7AMKzsMs1fwGk1HZBlMz8RUVRLZfIbG2tpSexWi5RBcrKLKV0CZSVtU6FiKJM9/uiWi6Rma4D6gSuJCmFrgOsBu1SILjHbYIovhxSsPOjjz7ChAkTGnxOkiScfPLJ+PDDD8MfIMv/z96dx0lRnP8D/1R19xx778JyLricK8oilwIKHiCieMaoiYnGqEk0XjFf9BvU6DcaE43RHIAxkXif8RYEjChqPKIJior+wANY7mOv2d2ZnaO7q35/9Mzszp69yx4z3c/79VKYmWdna4qerurqqqewYMECbN++vfulJOlF2FyGYDcuQ0nThBQSUggYkTBENGrl6olGYUTCkFJar7th2QYtYUlqflyYkQhkNAoPZ5DRqPXYTccFIQ5GyzmbKIzZ2phHcfjFLh0TxPHiN257LC6DUX8vjgY7kxLHRLuflXN3HBOEpIluDXYKIbBt27Z2X9+2bVty2jYAeDweeB2+E52bMJtLr+zGZSrr80mrQ2OaAGNWeh7GIE2r4wNIx9cDQEsYm0seF9FocjZnYp6PFCJ+N9cdxwUhTsY1e5sv2o3LZExRbM1odPp5j44J4nTcZkoOu3GZjPp7FroubMIUBYyz9ttDIcA4c0VdEJIOujXYOXfuXDz11FN4/PHHEW02DTsajeKxxx7D008/jRNOOCH5/IYNG5J5PUnm04YN79G4TMU9HmuDLtnGHTwGQFq5W7jH+Rc1ak6OrVk9ak5O3xSoHyWPCxHv6CTqJfGnkK45LghxMm3AgB6Ny2S6zRwlduMylaewsEfjCEk3fNDgHo3LZNTfs9B1YRPF64Xi9ULoRqtNnKWUEIaZjCGE9L5u3Xa76aabsHPnTtx+++343e9+h+LiYgBAZWUldF3HpEmTcNNNNwGwBkB9Ph8uvvjinis16VesocF+XG5uL5em/4hYDIwxSB6/Z5Bo1BKDn5yBMQYRi4H7fP1X0D4gdR1MUSANo90YpiiQug44/G5m8riI529teiH+d+ae44IQJzPr6+3HxftJThXZtdN2nH/c+F4uTT8yDKuN62iJoqJYcS6Y+UacR1ZV2o/Ld3aO3tT+nkRyTyYprSmeDK7o79F1YRPGGHwDBqBx777kjF8PA0Q0Csk5FFWDb8AA2pyIkD7SrZ5WQUEBnnrqKaxduxbvvvsudu/eDQCYPXs2Zs+ejfnz56M+fhHg9Xpx++2391yJSb+jnFQWK98Ki9/B0yHNpr0nGefgmgZpClfkZZGmCcYVMA+H0PXU5RuMxZevM9fUBcBSBn+bT6G3lq64oy4IcTJqC5uIDm50dScuU0nTBFdUiA7O71xR6fxPMpbQ9R6Ny2SJ/h7XtGTflwPJSQ9u6ftSW5hKy8qG5Mya4IF4TmvTtPJ5ejzQsrL7uYSEuEe3byszxnDSSSfhpJNOSj4Xi8Xwxhtv4Morr8Q777yDjRs39kghSXqhnFSWRF4WxjkUnw+mYSAWaoTf74WiqtZMPpfkZUnWhaKCaRpMXUcsHIHX74WiaWDSSuDulrqQwmx3lqs0DEB1R+4iQpyM2sImXO14gK95nJMxRYEwOh7kEYZO53+SsbimwbRx08JNOdqtmzgMYICQMr4RG4MwDHBVdfz3ndrCVPU7d8AMhdp8zQyFUL9zB/JGUHo/QvpCt3J2NielxPvvv48bbrgBRx99NH7+85/jk08+wWmnndbl93rhhRdQVlbW6r+77747Je7ZZ5/FggULUF5ejjPOOANvvvnmwX6MLpHx/xIb0jg7A1Ub8vJSHlqfn7WuhxZxTtM8L0v8gIBkHAADJFyVl6V5XTAAknEIrkAyDgZ31QXTtE7v4kvTBHPBhYBTub4NaMbNddF23sXWS9PckJ9RGzos5XHzY6KjOKeRipKSvqTN/pEQVhzJWG4+76mDh6Q8bu+73jLOiVJydjLEc3Uy68/40nY35OxUWrRx7R0TLeOcyDAM6HV1ycdttQF6XR0Mh69yICRddPsW++eff46VK1di1apVqKqqAmMMCxcuxAUXXIDJkycfVC6Kv//978htltNj8OCmJNerVq3CzTffjMsvvxwzZ87E6tWrcdVVV+GJJ57A5MmTu/077WqvQxNPzeIK+t49yb8n64M1PWbN4xycmyuRlyW4ew9ikQhMycC5gljMgMJ0qKrqmrwsibqo37UbemMEJhgUrkCPGRAxHYrmnrowgkFbuxIbwSAUh+ezciJqA5q4vi6a5Wds3hbKpr+6Jz9jPHVRW8dESn3U1wMO3qguWtmUz7Cj/lG0shLaMGcP/DqV2897oqYGQOffdVFT4+jvOpCas1MKmZj3ACFkcuzTDTk79fh5r7NjQq+shN/hGxZHDhxI/r2jNiBy4AByqA0gpNd1qfe9c+dOrFixAitXrsT27dsxePBgnH766Zg0aRJ+/vOfY8GCBZgyZcpBF+rwww9HUVFRm68tWbIEp556Kq699loAwMyZM/HVV1/h3nvvxfLlyw/6d3ekszu3runoxO9Gddbhc3puLgAwuIaQlgXFDEGRBhgEGACDqYhqWfBxDW6ZvxfSgXrmhZdLKMJM5izSuYIQ80LRgYL+LmQfSOapSgzstshfmnjODfmsnIbagCZUF025ig1TgkO0et0Eh8oVx+drA6xcbHaOCafnbEt8vk77Rw6vB6ei8x5915uTpgkpAZMpVv9fWu0Ag7RWODEOJuH4NoCOiSbUBhCSXmwPdn7nO9/BZ599hsLCQixYsAC33347pk+fDgDYsWNHrxWwuZ07d6KiogLXX399yvMLFy7EXXfdhVgsBk8vLRXQYa+y3DB8wVUVZmfLdAErb6WDSSkRCAShcw3ILYRhxBBpbIQvKwtM9UA3JQJ1Qfi8hY6f0SiEQE1tAwyuwfCoUCAgDQNMVWGCQ4KhprYBebl+cH7Q2TPSGte0xO18646/lBCmCYVz67EQzRLXk0xBbUATqos4zmEKCaEoAKzly1KaYEwBuDX8aQoJOPycBwCmzTbOblym4ppm66Kfzv+Zh857FmnzfGY3LqMl2gDGwBUNUgiYpglFibcBQrijDeA203LYjctg1AYQkl5sj0Z9+umnKCkpweLFi3H88cdD7cWBrNNOOw21tbUYNmwYzjvvPPzoRz+CoijYunUrAGDUqFEp8WPGjIGu69i5cyfGjBnTrd8ppURjY2O7r9cDaHuuaeu4vA7exwnMrDwgWmkrrqM6zXS6biIStZawmELClBw6V6FIDkVYMzwjkRjq64PQNGc38I3hGAwzfkebMZhSgckBBQoYsyY3GqZATW09svzOzl0k4p1cmCZkfNAzQQphVYaiQFcUmB18P7KysvqiuCSO2gD7qC4ssZgBg3EowoBkHJIr1r50XAGDBJcCBlcRiurwdJbaIsNVhpmtY6IyzOB18DERUezlpY4oXvBO6oHagL5FbYA9NboCOwl4anTF0d91oEUbIOK5XBmDAMCEcE0bUGMosLNLQ42hwOPwY6Kn2gA6/xPSM2yPWN5888145ZVXcNVVVyE/Px8LFizAwoULMWPGjB4rTHFxMa6++mocccQRYIxh3bp1+NOf/oT9+/fjlltuQV084W9ei41vEo/rmiUE7ipd17Fp06Z2X/fnFMPU69DRkJUJwNDyO3wfJ9A8WRjM0Gld7K+phb5vd18Vq88pigferDxIKeIXtxyKokHXTcR0HUKYYIxj27ZKmKazlytonix4/VZdyHiCdsY4hJSAtBK0M8axZ89e6DFnd3QAIIdzFKmK9dnjz5mmmVzeVhOJIvjllx2+x7Rp03q1jCQVtQH2UV1YFMWDbF8WcoQOBgMy/g2XpgFAQoAhyBXsr9ju+DbAn1OMCNfgE+3Pa4twDQbg6GNC82ShSOm8HmoOVELf1XFbSG1A36I2wB5/TjFiTIFHtr/CK8YURCVzdD0AqW0AZyYkOBgYpJBgEDAlXNEG+HMGwmfjmIgI6fhjoqfaADr/E9IzbA92fv/738f3v/997Ny5EytXrsQrr7yCZ555BgMHDsSMGTPA4ks2D8acOXMwZ86c5OPZs2fD6/XikUceweWXX35Q790ZTdMwduzYdl/ftTeAOnUA8sPVbXZ0TAB1/gFQAUyYMKG3ipkWGsMx1AQaO62LYQVZjp7Fp+smqmqDEKa1C6OUgBAmOFfAGYfCVXCFYdjgUlfM7KwJNFrLN+OsAc7EwKf13LBhQx19TDSn19fBqK0FTBNCSnDGAEWBWliIEXm0MVG6oTbAPqoLi66bqAmEoJteePRGKKYBKQQY5xCKBl3LgqqoGDV0kOPbgF17A2hU88Ci9fC2cZEX5RoavXmOPyaSbWEn9eD0/lEmojbAnr37AwiqBciJBNoc3IoxBUFfAbwcKHVwPQCJ64AQwjEVPjOSkq/e5Coiig/c43V8G7DvQB2CqtbpMeFTGEpHOPuYoDaAkPTS5bXoI0aMwBVXXIErrrgiuSP76tWrIaXErbfein/961+YO3cujj76aHi99qZyd+SUU07Bgw8+iE2bNiE/vnNxQ0MDiouLkzH18V1A8w9iZ2PGWCdTxgMArI4MwtXIg5VgWMJasgL/gGSk06eea5qGmkCjVReRCHJlGBwCAhwNzA/EdxzMz8uG5uCcJEIIVNeGIOPzeThn8SWMVp5GKwk1Q25utuPzVHq9XtQGGjvMU8MAFBbkWrmM3CArC2LQYASrq7Bv124MKRmOnAEDHX8sZCpqA7oiAIDqQkqJxrCOSIzD8HohW+RtNk0Jn1dFXl6O4/M2F+aFUFuvI+TNQ8gw4BcRcGlCMAVh7kvuRl+Ypzn6mEi0hR3Vg+vawgxBbYA9BXlhVAeiCPoKAF1HlgiDSwHBOBq5H4j3+wvyvI6uB6DpOsBQNISUtvPVq4DjrwOKB5jYe6Ch02OieECO448JagPS2xNPPIHbbrsNkyZNwrPPPtvfxUEsFsM//vEPrF69Gt988w3C4TAKCgowceJEnHbaaTjllFPoODlIB5V4c+LEiZg4cSJ+8Ytf4IMPPsCKFSuwevVqPPvss/D7/diwYUNPlRMAMHr0aADA1q1bk39PPNY0DSNGjOjR39cu/wDUo/nMNXdpCEabHvh8aICvzbpoCEZRVOjcwU5dN8E4A4unYZTxfDxCWH8yBjDOoOsmvF7ndnIAwDAEuMJhmq13JE7gCodhCFedtBljkB4/GpkK6fG78nzhSC5vA1K4uC4YYygoyEFlVR1ihgCgWHmboQCGgKpwFOQ7f6ATABoam537VRVh5LTdL2gUKIZzpbSF7dSDG9tCx3HxeS/Q0Gy2mqahEVqb9RBo0DFgABxN1834ykYA4DDBrHz1TIE13cGqF6dfBwRDRtODDo6JYMhAbm4fF66PURuQ3lauXInhw4fjs88+w/bt23HIIYf0W1lqamrwox/9CF988QVmz56Nn/70p8jPz0dVVRXef/99LFq0CNu3b8eVV17Zb2V0gh7ZZYhzjqOPPhpHH300br31VrzxxhtYuXJlT7w1Vq9eDUVRcNhhh6G4uBilpaV49dVXceKJJ6bEzJo1q9d2YiepdMPoPKgLcZnKFAIAg6oq0HVr2QZjTZ0ZVbU6O1acs5lCWHetpbR2nmxB4Qycc1fURUI4EkMgEEQkGoM3Kw81gRAawzoKCnLg99G5ihAn8Ps8yMvNQk1tAwxTQFE8MOIDnXm5Wa75rguz/Vxt3YnLVMm2EGjz5p+icNe1hcRZRAc3tbsTl8lMIQDG4NFUGKaAEE2DWpwzqIoCIeH47ztdFzZJtAE8PtmlJSudgTuuDdPNzp07sWHDBixbtgy33HILVq5ciauuuqrfynP99ddj06ZNWLp0KU466aSU1y677DJs3LgR27Zt6/A9otEoNE1z9Mzxg9XjNeP1erFw4ULcd999Xf7ZSy+9FPfffz/efvttvP3227jlllvw8MMP44ILLkguW7/66qvxyiuvYMmSJfjwww/xf//3f/jss89wxRVX9PRHIe3QVHtj5HbjMpUSH9wzDLPpjp1MzOpkMAwrd4/ighOQwjmEEG0OdAKAKSSEEK6oC8Aa6KysqkMkZlizO4V1jERiBiqr6hCOODdRPSFuEo7EUN/QCMYZNJVDmDo0lYNxhvqGRtd817nNGSp24zKV1cZZ7V2ClE1/t553R7+AOBNX7B27duMymcI5OLMGNr0eFZqqwDR1aKoCr0cF5wycwfHfd7oubJI4JlSFI8vvgapyCNOAqsYfK9wVx0Q6WrlyJfLz83HcccdhwYIF7U7Mq62txfXXX4+pU6di+vTp+MUvfoHNmzejrKwML7zwQkrsli1bcM011+Coo45CeXk5zj77bLzxxhudlmXDhg149913cd5557Ua6EwoLy/HGWeckXz84YcfoqysDKtWrcIf//hHzJkzB0cccQSCwSAAYM2aNTj77LMxadIkzJgxA9dddx3279+f8p4XXnghLrzwwla/a/HixZg7d27y8a5du1BWVoYHHngADz/8ME444QRMmjQJF1xwAb766qtOP186SauzzqhRo/D8889j3759EEKgtLQUN954Y8o/ymmnnYZwOIzly5fj/vvvx6hRo7Bs2TJMmTKlH0vuLvl5flTX1HeanzE/z99XReoXmqZYuTklwJgEY4AAwBkAyOTSdicnJU+wGvOO71IKU0BVnd+4SykRCARhCmkNfsQvenl8dqtuCATqgvB5C123/I0QJ2n+XVcVDt0wATBIAJrCYZjSNd/1onwvDlR3vLt4Is7JNE2BFDJx3zOu6d9eSkAKd/QLiDMV5nlQVRuxFed0Ho8Kj6YiEjOgqQycW7uVcutCAEY8b7PHk1aX2z3O5wUaQvbinK7lMaEqHBFpQo0P/rvlmEhHK1euxPz58+HxeHDaaafhqaeewmeffYZJkyYlY4QQ+OlPf4rPPvsM559/PkaPHo033ngDv/jFL1q939dff43zzz8fgwcPxo9//GNkZWVhzZo1uPLKK7F06VLMnz+/3bK8+eabAJAymGnXX/7yF2iahksvvRSxWAyapuGFF17ADTfcgPLycvzP//wPqqur8eijj+Ljjz/GSy+9hLy8vC7/HgB46aWXEAqF8L3vfQ/RaBSPPfYYLrroIqxcuRIDBw7s1nv2tbT6pv3yl7+0FXfuuefi3HPP7eXSkPYoioKC/GzU1rXfshXkZzs+F0kiZyfM5IROaxZfs4sct+TsbAzHOhz8Bqwk/o3hGHJznD0IHosZiOkGVIW1GuBgjEFVmBUTM+D1OjenLSFOl/iuSykRjljL87iiwjCEtZRdVVzzXa8Ptt51tr24goLeLUt/SuTwa66tx27oFxBnqg/aW4pcHzRQVNTLhelnzfM264aI3+qycvebQkDhzBV5m6tqw7bjCgsLe7k0/YuOifT0+eefY+vWrbj55psBANOmTcOQIUOwcuXKlMHO119/HRs2bMCNN96Iiy66CABw/vnn4+KLL271nr/5zW8wdOhQPP/888lUit/73vdw/vnn4+677+5wsHPr1q0AgPHjx6c8H41GEQo1ja+oqtpqoDIajeL555+HL74htK7ruPvuuzF+/Hg88cQTyQ3Cp02bhssuuwwPP/wwrrnmGnsV1cKOHTvw2muvYfDgwQCAY489Fueeey6WL1+OG264oVvv2deop0W6JRrt+MKms9edwBQCwux4iE+Y0hV5WQzDXh42u3GZzBQCQra+wE1gjLkihxMhTmcKAcM02z2vGYYJwzRd8V2nNsBiChGf4ds+3XDHMUGcybSZd9duXKbz+zwoHpgPn0e1NqLh1qovn1dF8cB8V+Rtlp3NduhiXKajYyL9JGYizpgxA4B1LbZw4UKsXr065Vz1zjvvQNM0nHfeecnnOOf4/ve/n/J+gUAAH3zwAU455RQEg0HU1NSgpqYGtbW1mD17NioqKlotIW8usfQ8Kysr5fmnnnoKs2bNSv73ve99r9XPnnXWWcmBTsAayK2ursb555+fHOgEgOOPPx6jR4/GW2+9ZaOG2nbiiScmBzoBYNKkSTjiiCPw9ttvd/s9+1pazewkmUHXdTR2koesMRKDruvQNOfOZmGs8wErUwi44eadqirWQj2W2H/SylnGuZJ8DJnYtMnZEvl62tulVUpJ+XoIcQDGALOTG16mKV3RBtj9jE6vCz1mL0erHosBfhes6SSO015u9u7GOYHf54FvcCHq64PYtq0SwwaXIi+PZu+5GR0T6cM0TaxatQozZszArl27ks9PmjQJDz74IP79739j9uzZAIA9e/aguLgYfn/qKsSRI0emPN6xYweklPjzn/+MP//5z23+3urq6pSBwuays7MBAI2NjcjNzU0+v2DBguRszzvvvDMl/3dCSUlJyuM9e/YAsNJBtjR69Gh89NFHbZbBjrZ2qy8tLcWaNWu6/Z59jQY7SZdVVQdtxw0d4tzlCm3tstdenN/XeVwmy87yQlE4DFNAIvXiXsRv5aoKR3aW8y/umufrUSFgmAKMKfE/GeXrIcQhqA1o0tbO4wcTl6lq6jrPW5qIy8/P7TyQEEIIId32wQcfoLKyEqtWrcKqVatavb5y5crkYKddiUHISy65BHPmzGkzpuUAaXOjR48GAHz11VeYNm1a8vmhQ4di6NChAID8/HzU1ta2+tnmszp7ipNn4tPVNuky3bCXr8duXKaii7smnHMUFebiQFUdAMQ3beIpS1aKCnPBXTCbMZGvZ+++WoT1tvP4Ub4eQjIftQFNOO98k7pEnJPZqYOuxBFC0l84EkMgEEQkGoM3Kw81gRAawzoKCnJcsWSZM8DORF7uom6v24+JdLJy5UoMGDAAt9xyS6vX1q5di7Vr1+LWW2+Fz+fDsGHD8OGHHyIcDqfM7tyxY0fKz40YMQIAoGkajj766C6X6fjjj8f999+PlStXpgx2dsewYcMAANu2bcOsWbNSXtu2bVvydcAaQN25c2er90jMDm1p+/btrZ6rqKjA8OHDD6bIfcrZvU7SKzTV3hi53bhMZXdJthuWbgOA16u1+1lVVXH8Bh3NRaN6u3fJTMN0RU5bQpyO2oAmVBcWuxszOn0DR+JclLIiVTgSQ2VVHSIxw9qkVFiblEViBiqr6hDuJO2XE3Cb5zO7cZmOjon0EYlE8Nprr+H444/HySef3Oq/73//+wiFQli3bh0AYPbs2dB1Hc8880zyPYQQeOKJJ1Led8CAATjqqKPwj3/8AwcOHGj1e2tqajos17Rp03DMMcfgmWeeweuvv95mjLSZ5HbixIkYMGAAnn76acSapdJ5++23sWXLFhx//PHJ50aMGIGtW7emlG/z5s34+OOP23zv119/PSX36GeffYZPP/0Uxx57rK2ypQNnj0aRXlGQ70NDqPOd9wrynb1uL8vvAQM63IWcxeOcTkqJQCAIxhh8Xg2GYSAaM+D1aFBVFaaQCNQF4fMWOn5GoxACNbUNkGjq7AshweO3tKUEamobkJfrd/wsJ0KczO+zdwPHblwmy8vRELFxEycvx9l1kZejoqq281UteTnU/SaZKcfP0NDY+UV4jt/ZfT2gqe9rCglN5cmlrZwzcM6hG8IVfd/CPA8qazq/LizMc8/1kNuPiXSxbt06hEIhzJ07t83XJ0+ejKKiIqxYsQILFy7EiSeeiEmTJuF3v/sdduzYgdGjR2PdunWoq7NWLjb/N/u///s/fO9738Ppp5+O8847DyNGjEBVVRU++eQT7Nu3DytWrOiwbL///e/xox/9CFdeeSWOPfZYHH300cjLy0NVVRXef/99/Pe//7U1qKhpGq677jrccMMNuOCCC3Dqqaeiuroajz76KIYPH44f/vCHydhzzjkHDz/8MC699FKcc845qK6uxtNPP42xY8em7AKfMHLkSJx//vk4//zzEYvF8Oijj6KgoAA/+tGPOi1XuqDeFumyhqC9O1INwVirBL9OYhgCXOEdLlHkCodhCMfP4ojFDMR0A4xJ6IaID+5xmEJCGiYUhVkxMcPxMzxDjdHkMZG4KccYS1nSb5oCocYocnOc+/0gxOnCEXsztMMRHbkOH9yqqYvajiso6N2y9Kfaenv9o9r6GIqKerkwhPQCOwOdibihvVyW/pbo+6oKazVwxRiD6pK+b12DvbawrkFHoXO3cgBAx0S6WbFiBbxeL4455pg2X+ec4/jjj8fKlStRW1uLwsJC/O1vf8NvfvMbvPjii+CcY/78+bjyyitb7XY+duxYPP/881i2bBlefPFFBAIBFBUV4bDDDsOVV17ZadkSszGffvpprFmzBsuWLUMkEkFhYSEmTpyIu+++GwsXLrT1Oc8++2z4fD4sX74cd999N7KysnDiiSfi+uuvR15eXjJuzJgx+N3vfoclS5bgjjvuwNixY3HXXXfhlVdewX/+859W73vWWWeBc45HHnkE1dXVmDRpEm6++WYMGjTIVrnSgbN736RXUM5Oi7UTe2d35VinO7Y7gSkEDFNCCpGc6ZqYfi+EhBQSjHNX1IVhmB3O9gWs2cCG4dxk0IS4gd3vsBu+68Jmcnu7cZmKcnYS4h6mEBASUNqZoccYg5DS8X1fu5ubOHkTlAQ6JtLLX//6105j7rjjDtxxxx3Jx0VFRbjnnntSYhJLzVvurj5ixAj87ne/63b5vF4vLrroIlx00UWdxs6YMQNffvllu68vXLjQ1uDoGWecgTPOOCPluY42aLr44otx8cUXd/q+6YrWUJIuUxR70+7txmUqzhikEGAMyf+klKmPhQB3wTKFRF1ISDA0TfNnjMWX+kvX1IWi2Dut2o0jhKQnu5stuGFTBjubU3QlLlMxm6d1u3GEkPSlcA7O2s+tJ6UEZ1ack5k2T+x24zIZHROZLxKJpDw2TROPPfYYcnJycPjhh/dTqUh30cxO0mXCZsJcu3EZK34Ba+08nniy6TNLGb+gccGFbvO6AJPJakg09m6qC02zl7LAbhwhJD3pNmfn2Y0jmU9TOaKxzv+9NZUudAnJdB6PCo+mIhIzoDEJISQY4/FUThKGKeHzqvB46HLbLZofEyqstF5gLH5sCDomMsCvf/1rRCIRTJkyBbFYDK+99ho2bNiA//mf/4HP5+z9SJyIvmmky6TN6za7cZlKCAmuMAhDNsvNyFNyM3JuNXBOR3XRREprVrNptv9ZFSU1hychJPN0lK+5O3Ek86mqhmis8/ylqkq52gjJdIwxFBTkYP+BACIRHUJKcEVFTDdhGAKqpqAgP4c2onGRpmOiFpGoCSklFEVDTDfBDAFN5XRMpLmZM2fioYcewltvvYVoNIpDDjkEN998My644IL+LhrpBhrsJF2mqSqAzjvzVpxzKZyDgcWXr7d+nTGAgbliqQLVRROFc6iKAsZkm7n6VFWBwt1RF4Q4md02zultIWlC/SPidO3189qKcw/ZKle7BOxVFHGoRBqv5s80/Z+kr9NPPx2nn356fxejX5WUlHSYHzST0NU26bK8XG/nQV2Iy1SapkBKmVzGzhiAZjk7pbSWcbthuTLVRZPEEhbGGPw+DarKIUwDqsrh92lgjFkxtISFkIzm99k7n9mNy2Sqzes3u3GZKj/P3hI3u3GEpJtsm4eu3bhMJqVEIBCEBLOWJmsKTFOHR1Pg86qQYAjUBdvN3+gUWTYv9+zGZbKmYwLw+TR4NAXCNKxjwqdBAq44JghJFzTYSbqsvqHzWQtdictUum6CcZZy97r5vV3GAMYZdN35uw+2qgsJNL+l6aa6SCxhUTiDYUpr8yZpgjPrscIZLWEhxAGqaxt7NC6T2T2zO70FCDXqPRpHSLoJhns2LpPFYgZiugE1viGrtVcBS+5ZoCrMiokZ/VjK3heO9WxcJks9Jpg1qMnif4K55pggJF3Q1CLSZbph7wRtNy5TmULAargUGIZpje/F81QyWMuVARaPc7ZEXSicw0jmp2PxZTyAqli7E7mhLgDA7/OgeGA+AoEgItEYGLdmvvp8Ggryc+D3efq7iISQg2TYbOPsxmUyu5NUnD6ZhfpHhLiHKQSEBIQhoMfTFimKBsMQMAwBTVUA5vy+L53/mzQ/JgxDhwTAuQrdEDCMqHVt6IJjgpB0QTM7SZdRnjKLlXNRwjBNoMXSbTBYz0O6IjejwjmEEM0GOlMZpoAQwhV1keD3eTBkcCGKCrIRbaxHUUE2hgwqpIFOQhxCtdnG2Y3LZHYnqjt9Qjv1jwhxj0TfV28jPzsA6Ibpir4vnf+bND8m2srj6pZjgpB0Qd80m+xWlBsqNDfH3mCN3bhMpWkKpJDxfJTWc4ll7InnpHBHnkorL2XHdymFKaCqbviGNGGMQdMUmGYMmqbQ0nVCHKSowN+jcZksP8fe4J3duExFeVyJ03ltfoXtxmUy6vtaKI9rEzomCEkv9E2zye5kczdMSg/URXo0LlPpupkyeGWlZeEpyzQYc0eeysZwrNUdzJZkPI4QQpwgGLKXd9FuXCZraLTX+7Ebl6kojytxuqjNDAx24zIZ9X0tlMe1CR0ThKQXGuwkXUY5qSyJvCztTdZjDBASrsjLYrSzhKe7cYQQku6oLWzS2UyWrsZlKsrjSoh7UN+XtETHBHGyhx9+GGVlZV3+ucWLF+O0005LPt60aROWLl2KcLj374DQYCfpMsrNYuGMQcYHMlk8Z6eUIvl3AJBCgDu9IgAoir1Tid04QghJd4rNZWh24zKZ3X0nnL4/hZT2BnPtxhFC0hf1fUlLdI1MSOc2bdqEZcuW0WAnSU/WLuM9F5exEgOaEsnl7M3/lDIe44IGzW5eUjfkLyWEuINXs5eUzm4cyXy6YW84124cISR9Ud+XtGTYXM1nN44QcnBosJN0mRD2Oul24zKVEBJcYcm/W7k6rUHOxGfnnDm+HgBrwLeznQUVnprPlBBCMpvdO1nOv+PFbX5Eu3GZio4IQtyD+r6kJdOwN4hpN440kVLiQG0IO/bV4UBtCLIPvljr1q1DWVkZKioqUp6vq6vDpEmT8MQTTySfe+2113DmmWeivLwcs2fPxh133IFoNJp8/YUXXkBZWRlqampS3uvMM8/E4sWLk48TS74//PBDnHXWWZg8eTLOOeccfP755yk/19DQgOuuuw5TpkzBrFmz8Ic//AEPPvhgp8vMDxw4gBtuuAHz5s3DpEmTcNJJJ+EPf/gDYrHUPLLBYBD/+7//iylTpmDmzJm46667YJqp6RfsfqaWP3PDDTcAAGbNmoWysjLMnTsXAFBfX49f/vKXmDNnDsrLy3Hcccfh5z//eYefpzM03YB0maaqAKI245zLTgfGTkfICRTOO796Y+6oC0KIO9AqhyZcUSBs5CDjirPrgiscpo28pJyWtZIMZfcmPnf6nQ1YfVpV5eCCwTDMlDQdDNa5n3Pm+L6vlcbLXpzT2b32dfo1ck/bdaAeH2/ei6pAGKYQUDjHwAI/ph46FCWD8nrt9x533HEYPHgwnn/+eSxatCj5/CuvvAIAOP300wEAb7zxBq655hqceuqpWLRoEbZu3Yo//vGP2Lt3L5YsWdLl31tZWYnbb78dP/nJT5Cbm4t77rkHV111FdauXQtN0wAAN9xwAz744ANcf/31GD58OJ555hl88cUXnb53bW0tCgoKcMMNNyAvLw8VFRVYunQpKisrcccddyTjbrzxRrzzzju47rrrUFJSgieffDL5uQ/G8ccfj5/+9Ke477778Pe//x25ubnweDwAgDvuuAPvvPMOFi1ahOHDh6OyshL/+te/Dur3pe03LRQK4ZRTTsH+/fvx3HPPoby8PPnas88+i7///e/Ys2cPRo0ahZ///Oc44YQT+rG07lJYkIVAfchWnJOpKu90swVhCqguyNdGdUEIcRuPZu98Zjcuk+VlK6ip63ywMy/b2YOdxUVZ2FcZtBVHSCbyqhJ2NpL2qs6fzujxqPBoKiIxA16vhphuwDBMKIr1vCmkFeNJ28vtHpHjZ2ho7PzfO8fv/NHOvFwfqmrqbcURe3YdqMe69RWIRA1k+zWoqgbDENhXHcK69RWYO7201wY8FUXB2Wefjeeffx7XXnstlPgN2+effx7z589HXp71e5ctW4bJkyfjnnvuAQAce+yx8Pv9uOWWW/Dll192eVOfuro6PP744xg3bhwAwO/34wc/+AE+/fRTTJ8+Hd988w3Wrl2L3/3udzjrrLMAAHPmzMEpp5zS6XuXlZXhF7/4RfLx1KlT4ff7sXjxYtxyyy3w+/345ptv8Nprr+H222/HOeecAwCYPXs2TjrppC59jrYUFRVh5MiRAIDDDz8cRUVFydc2btyI0047Dd/61reSz5166qkH9fvStgf+l7/8pdVUWQBYtWoVbr75ZpxyyilYvnw5Jk+ejKuuugqffPJJ3xfSpYTo/O4cY1ackzWGY51utiDjcU5HdUEIcZua2sYejctkgQa9R+MyVSRqb4DHbhwh6cZuN84N3T3GGAoKciCEQCSqQwgJxjiEkPHHAgX5Ocl8/k5lZ6CzK3GZzDRlp7OaOWcwTefXRU+QUuLjzXsRiRooyPXCoyngjMGjKSjI9SISNfDx5r29uqT9nHPOQWVlJd555x0AwObNm/HFF18kBwFDoRA2bdqEBQsWpPzcwoULAQAfffRRl3/noEGDkgOdADB27FgAwP79+wFYg4IAMG/evGQM59zW5D8pJR5++GEsXLgQkyZNwuGHH47rrrsOhmFg586dyfeXUmL+/PnJn1MUBSeeeGKXP0tXHHbYYXjxxRfxwAMP4KuvvuqR90zLwc4tW7bgySefxNVXX93qtSVLluDUU0/Ftddei5kzZ+K2225DeXk57r333n4oqTuZQnS+paqMxzmYYWPJXlfiMhnVBSHEbXTD6NG4TEa5vC10TBDiLsFguN3UFaYpEAz2/m7DJH2YQoCxjodXGOOOv0buKZWBRlQFwsj2a61uGjDGkO3XUBUIozLQezeVS0pKcMwxx+C5554DYM3qLCkpwcyZMwFYuTOllBgwYEDKzyWWZ9fV1XX5dyZmjCYklq4ncoBWVlZC0zTk5uamxDWfJdmeRx55BL/73e8wb948/OUvf8Gzzz6LW265pc33z8/PT/nZlp+xp918880444wz8NBDD+H000/H8ccfjyeffPKg3jMtBztvv/12fPe738WoUaNSnt+5cycqKipaTdFduHAh/v3vf7dKrEp6h5TC1iw+KZ19Ilds5tyyG5fJFJvL0+3GEUJIuqM2gLRkCnuDmHbjCCHpyzRNBOo6TusVqAu1uVKROBNnDFKIlBWQza+HGQOkEOAOn+3bUyJRA6ZoPw2aqloDx5Fo77ap5557Lt566y3s378fK1euxNlnn50cfM3NzQVjrNUmPQ0NDYjFYskBQ6/XCwDQ9dQVLvX1nac9aKm4uBi6rqOhoSHl+ZZlaMurr76KuXPnYtGiRZg9ezYmTZqErKzU1DqJ9285UFtdXZ3yuCc/E2DV5U033YR3330XK1aswDHHHINbb70V69ev79b7AWmYs/PVV1/FV199haVLl7ZKsrp161YAaDUIOmbMGOi6jp07d2LMmDHd+r1SSjQ29sxdgZ56n3QVCHSer9OKC4J1OiyauUzD3nI809Adf0yYus260J1fFy2Fw+GUP+1q2fCQ3kVtQO9wcl0oir32TVF67thyAifXRSRib1AjEjE7rQdqA/oWtQE9z+n1UB+M2Jr8UVldh7wcytEIOP+YiMUMSEhICXDWtBCSMWvTKiEBMIlIJALRwU0vOv9bfF4VCucwDAGP1jrnt2FYmxX5vL07pDVv3jzk5eVh0aJFqKurw9lnn518LTs7GxMmTMCrr76KH/7wh8nn16xZAwCYNm0aAGDw4MEArPGsxN+3bNmCvXv3drk8EydOBGBtjJTI2SmEwJtvvtnpz0YikeRM0YSVK1emPE7slbN27drkcn3TNPH666+nxHX3MyV+f0cTFcvKynDDDTfgueeew5YtWzB9+vTOPlqb0mqwMxwO484778TPf/5z5OTktHo9Mbrccmpv4nF3pgkn6LqOTZs2tfu6P6c4mZS2uZY5IkzT7PB9nMDrz4fm8bd6vmVd1AbqsG/vjr4qVp9TFA982QWtlis0rwcpBbZv3wHTdPasY0XxwJuVD85TvyPN60II0xV10Z6KioouxScaR9I3qA2wj+rConmy4PW3Torfsh4O7K/E7p3OvsDz5wyAomitnm99THT8Pct0PfndoDagb1EbYI8/uwiK6mn1fKt6MGKOrgcA8Phy4fFmt3q+ZV1UVlZh986GVnFOQd+NJorigS8rH2AckjXVgWmaYIxZu9ZLgYqK7R1eD9H531JckIWBBX7sqw5BU3nKUnYpJUJhHUMGZKO4lzdF1jQNZ511Fh544AHMnj0bQ4cOTXn9qquuwpVXXonrrrsOZ5xxBrZt24Y//vGPWLBgQXJzoiOOOAJDhw7Fb3/7WyxatAjBYBD3338/CgoKulyecePGYf78+bj99tsRDocxbNgwPPPMM4hEIp3mCD766KPx6KOP4vHHH0dpaSlWrFiB7du3p8SMHTsW8+fPx29/+1tEo9HkbuwtZ3B29zMlJic+8cQTOPHEE+Hz+VBWVobvfve7mD9/PsaNGwdFUfDSSy9B07RuD3QCaTbYed9992HAgAH49re/3ee/W9O0ZPLXtuzaG2j1nJSy1QGlqiomTJjQ08VLK7V1jQg1pp6g26qLwsICFJYO68ui9SldN1FVG0xJMt2yHlRVxdBRpdDauBvlJLpuorKmIWVTqpZ1oWkqhrmgLloKh8OoqKhAaWkp/P7WNwlIeqA2wD6qC0tjOIaaFnmi2qqHYcOGIsvfenDASfZX1kM3UlPXtFUXfp8PpSOce0zs2RdAy7SkbdWDR1NR6uDvRiaiNsCeyuoGRGOpM5jbqofs7CyUjhzcl0Xrc/XBCOobIinPtVUXxcUDkZdT0pdF61O79wZazXBtqx401fnnPV03URNfAWkKCSEkpLTyeHLOoMQ3Lxo62H3XQ93BGMPUQ4di3foKBBqi8d3YrZmeobAOn1fF1EOH9skmYPPnz8cDDzzQ5jjVvHnz8Oc//xn33nsvrrjiChQUFOC8887DokWLkjGapmHZsmX41a9+hZ/97GcYOXIkbrzxRtx5553dKs9vf/tb3Hbbbbjrrrvg8XjwrW99C+PGjcMTTzzR4c9deeWVqK2txZIlSwAACxYswC9/+Utcfvnlbb7/3XffnXz/o446CnfddddBf6bDDjsMV199NZ599ln8/e9/x9ChQ7Fu3TpMnToVL730Enbt2gXOOcaPH4+//vWv3V65DQBM9ub2VV2we/duLFiwAPfeey+mTJkCwNq96vLLL8ejjz6KiRMnYv369fjJT36CNWvWYPTo0cmffe+993DJJZdg9erV3aqMxI5WiSm7bflqy55Wz7V1IgeA8WOcO8AHWFOOK3ZWpTzXVl2UjhgIj8e5F3hCCFTsOADDbMrNIoQA59ZMTykBVeEoHTko+ZxTmaaJrRX7Uzo7LY8JBmB06eA27/46WWNjIzZt2oQJEybQspQ0RW1A11BdWOi816Sqqgo1dZ3fBC3K92DgwIF9WbQ+VVtbi8qa1JQlbQ5+FPlRWFjYl0UjHaA2wD46xpvouo5tOypTnmurLkaNLG61bNRJduzYg0iLbFZt1YNPA0aOdO53A7A+9779tYjEDGgqh2GYCIfD8Pv9UFUFuiHg86oYMqiwTwbonGLXgXp8vHkvqgJhmMJauj6wwI+phw5FyaDWK2x6w5///Gc8+eSTeOedd9J2fOP73/8+OOd47LHH+rsoaSNtZnbu2rULuq7jJz/5SavXfvCDH+CII47APffcA8DKC9B8sHPr1q3QNA0jRozos/K6Wcs7uh3Fpem5oEfougnGGZgArEta2WzJBgNjEowz6LoJr9fZg52N4ZitvEWN4Rhyc2h2IyEk8xmGAFd4uzvxAgBXrBkITh/sbDnQ2VGcg8c60RCyt0lCQ8iAw8eBiENVByKdB8XjnH6M290UJRI1HD3Y2XKg82DjMhljDAUFOaisqkM0ZgCQkLB2aTdjEpqqoCA/hwY6u6hkUB6GF+eiMtCISNSAz6uiuCCrT+px69at2LZtGx5//HF873vfS5uBzn/+85/Yu3cvxo8fj3A4jFdeeQXr16/Hvffe299FSytpM9g5YcIEPProoynPbdq0CXfccQduvfVWlJeXY8SIESgtLcWrr76KE088MRm3evVqzJo1K20OPqczDHuDnXbjMpUpBAAGj0eFYQgI0XQXk3MGVVUgRCLO2RL/1oxZM1pbSjzv9GOCEOIeZmImv5QwW65dBqBwBs65K9oAYqH+EXE60ca57mDiMhl930lb/D4P/D4PonUhSACKosE0JRgk/Dl++H00XtEdjDEMKmydI7e3/d///R8++eQTzJkzB5dddlmf//72ZGVl4eWXX0ZFRQV0Xcfo0aPx+9//PmWMjKTRYGdeXh5mzJjR5muHH344Dj/8cADA1Vdfjeuuuw4jR47EjBkzsHr1anz22Wd4/PHH+7K4rqaq9mao2I3LVArn4AzgjMHn1aDrBsLhGLwePzRNhRACYBKKw5ewA9a/deLemsI5hBSQwprZypn1mMH5xwQhxD0UziGEaHOgE7DydYEJV7QBxKKqCowOZvo2jyMkE3HObA1kcu78mWt0PUTaEqgLIVAfalrxJiXAGCSAQH0ImqaiIL/vB+1I96TrkvA5c+Zgzpw5/V2MtJc2g512nXbaaQiHw1i+fDnuv/9+jBo1CsuWLUvm+SS9z+e1d9jYjctUHo8Kj6ZaeVmYBOcMUor4nxKGKeHzqvB4nF0PAJCd5YWicBimgED8Qi+Rx1SKZP7S7Cxv/xWSEEJ6kKpyiE4GtoQpoKrOH+zMz1FQF+x89lJ+jrMv+gcUZmH3vjpbcYRkIo8iEbExWd2jOH9mp99nb2m63bhM5VEAOxnOPM4+/QOw9m6oqW1IjG+CMQZDSCjxa0MpgZraBuTl+h2/nwMh6SCtR2FmzJiBL7/8stXz5557Ls4999x+KBEBgIZg1HZcUaFzG/jmeVl0Q4DF7+EJIePJk5lr8rJwzlFUmIsDVXXNlrGzlCXtRYW51LATQhyDchU3CYbtDWwEwxJO3p851Ggvh1+o0UA2TewhGYjyMzYJ2/yQ4YiO3Jy0vuQ+KDa3crAdl8lCjVGY8Y1rOePxjJ0WzjgEBExTINQYdXy/gJB0QCMPpMt0w15n3m5cJvP7PCgemA+fR7V2HuQKpLRmdBYPzKe8LIQQ4lCUr61JZzNcuxqXqah/RIh7UBtAWjIM09ZNUDomCOkbNNhJuoxy1KTy+zwYMrgQRQXZiDbWo6ggG0MGFbpqoDOxbKM5KVMvamtqG6w8poQQ4gDMZg/Kblwms7tg1ekLW1u2ewcbRwhJX1yxt3LLbhzJfM33MGgP7WFASN9xQRec9DS/12aOGptxTiCEQDiqQ9G8CEd11w3qNV+2oXCeTEzPOYPCORhDctkGIYQ4gWHYO8/bjSOZz87mRF2JI4SkMbrLQ1pI7GEgpbVnQXOJPQwU2sOAkD7j3AQipPcwBsasRMvthzArM7MLVFbVIVBn7brn8WajviGChoYICvKzUTwwv7+L1ycSyzY6+henZRuEECcxbQ5Y2Y0jmU+Y9kY17MYRkm4Y7I3dueEKwM6u9F2Jy1R0TDRJ7GFQWW3tYZC4Vk4cA4zRHgaE9CX6ppEuS8zU60hihp/TVVbVoTY+0NmcBFBbF0JlVee7sjoBLdsghLiNptq7X2w3jmQ+SvNDnI4r9vr2duMyGX3fLXRMpCrIz0bxgHyo8c/L4rlsVIWjeEA+CvJpdzpC+oo7zjqkRykK6/QupRASisNz1JimiUBdqMOYQF0Ipun82YzNl22YQiTvZEop44/duWxDSgldN6EoHui62eFsaEJIZsnL9fVoHMl8RQX2dte1G0dIuvFp9maq243LZD6vvRtZduMyVW6WveEEu3FOUJCfjZElA5Gd5YEeCyM7y4ORJQNpoNNlrrjiClx44YVd/rm5c+fitttuSz5+/fXX8cQTT/Rk0VzDPWcd0mPqGyI9Gpep6urDtnbcq6sP90Vx+lVi2UaClNadzOZje25bthGOxLBvfy1qAiF4s/JQEwhh3/5ahCOx/i4aIaQHmKZM5iduD+cMJi1Zdo2GoN6jcYSkm5DNrr3duEzWELSXh95uXKaqCxo9GucEgboQduyqQqgxBs3jR6gxhh27qjqdJENIW15//XU89dRT/V2MjOSekQfSY3TDXmNlNy5TUT2k8nq1dpfqqKoCr4s2rApHYqisqkMkZlj5bYUJxhgiMQOVVXU04EmIAyRmrXckMduduAP1CwhxD/q+W+wuWnLL4qZAXQiV1XXJjehkfKMiwxSorK6jAc9uklIiGtXRGI4iGtVptRyxhQY7SZcpqr3Dxm5cpqJcPU2klAgEgmCMwe/zQFM5hDCgqRx+nweMMQTqgq5omBJ1YQoJTU3dmV5TOUwhXVMXhDialJ1+j6W1Q0EfFYj0NyHspa2xG0cISV+Ut5m0JIRATW1DfIUbUq4BGLO6AzW1DRB0E7RLEqvl9h2oxf7KOuw7UNunq+U2bNiAyy+/HLNnz8bkyZNx5pln4qWXXkqJ2bJlCy644AKUl5fjxBNPxIsvvtjqfRYvXozTTjst5bn6+nqUlZXhhRdeaPN3L168GC+++CK+/vprlJWVoaysDIsXL+6xz+Z0dPYlXabaXIpsNy5T+W3OVLQbl8liMQMx3YCqMHDOrPydwoSiWIN9KpgVEzMcP8OzeV0wZuW3ZYwn89iqinvqghAnC0ftLUUOR3VkZVHeTjeI6fYuYO3GEULSV36eH9U19R2mtGLxOOIOocYoTFOAMVgru6QEQ/xPZu1bb5oCocYocnPouLAjsVrOFBKqwqDE6zWxWq54YD78Pk+vlmHPnj2YOnUqzj//fHg8Hnz88cf45S9/CSklvvWtbyEajeKSSy6B3+/HXXfdBQBYsmQJgsEgSktLD+p3X3HFFaipqcHWrVtx9913AwCKiooO9iO5Bg12ki6j5QpxjCUbsvZDGDrdut4BTCEgJKC081kZYxDxzYqcLlEXkBKxqA4hBLiiQjdMq6FWOQQtbSUk4xmGvdl5duMIISTdqQpPLs/tLM7pFEVBQX42ajtYllyQnw1Fcf4KL2IxDNMa/JZouj5kDLL5Y1C/wK6Wq+VY/DqTMQaNSeiGQKAuCJ+3MPlabzj11FNTynTkkUdi//79+Mc//oFvfetbeOGFF3DgwAGsWbMmObh52GGH4eSTTz7owc6RI0eiqKgIe/bsweTJkw/qvdyIBjtJl9HybYvCOTyaAsM029yAwprFp0Bx+AxXwKoLztDszmUqKSU4g2vqApCIxUxY9/SbOjhCSMRiBlTVHccFIU5GSxibcG7NYrcTRwjJXKqq2BvsdPg1QEJOjh/1wTDMNupEUThyaPaeq9A1cs9quVquOcb6brVcXV0dli5dijfeeAP79++HaVqD1QUFBQCAzz77DOPGjUsZ2DzkkENw6KGH9lqZiD3O74GTHuf12DtB243LVB6PCo+mQkhAVSQMUyAa1eH1eqAqHEIyK8bj/K9Zoi4iMQMaS73glVLCMCV8XnfUhaYpkELG8/XIlLuQUlrPSyGhac7+fhDidLk5XlTV2Itzutwsjrpg5zNVcrOcfZNnYKEPVbWdb0M9sJDSGpDMlJOlIGIjhUdOlvP7OIlZZ5xzaKoCwzAQjRnwejSoqprM0d7bs85I+vD7bKY4sxnndumycnDx4sXYsGEDrrzySowdOxY5OTl46qmnsGbNGgDAgQMHMGDAgFY/N2DAAESj0V4tG+mYs3udpFcE6sI9GpepGGMoKMiBwhmEtObwMWb9KSSgcIaC/BxXdHCa14VumPF8NRymKaAbpqvqQtetndetj9qU5sD6kyXz+Og6LWEhJJNFovZ22LUbl8nqQ/bOZ3bjMlU0Zq+NsxtHSLqpqbN34W43LpO1zFfPOYeUJjiP56tvNuuMuEM4YjOXt804t2u+crAtfbFyMBqN4q233sJPf/pTXHjhhZg1axbKy8tTyjRo0CBUV1e3+tmWz3k8Huh66r99XV1d7xScAKDBTtINumGv0bYbl8n8Pg/8Pg8M3YRhSnCuwjAlDN1MvuYWfp8HeblZkMLKocIVDbohIIVEXm6Wa+rCFAJgDB5NTS7ZTAzycm49D8YoZychGY5ydjahXN4W6h8Rp7OTrqIrcZksMetMCIlozLBu7isadMNENGZACEk52l2G+gU9K7Fy0DBlqwHPxMrB3l5FGYvFIISApjXNxg0Gg1i3bl3ycXl5Ob7++mts3749+dz27duxefPmlPcaMmQI9u3bh1CoKc/ve++912kZNE2jGaLdRIOdpMsoT1mTQF0IgfpQcidGKa0OjQQQqA8h0EHScqcJR2Kob2gEGIOqcphmDKrKAcZQ39CIcCTW30XsE4m7kJwzeD0qNFWBaerQVAVejzUA6pb8pYQ4GeXmamJ30r7TJ/dT/4g4nd28u27Iz6twbm1GqRvJwd2UHO26AUhJ/T0XoX5Bz0pdOSgghICUEkII6Ibok5WDubm5KC8vx/Lly/Hqq6/i9ddfxyWXXIKcnJxkzNlnn42BAwfisssuw5o1a7BmzRpcfvnlGDhwYMp7nXTSSYhGo7jxxhvx3nvv4eGHH8bjjz/eaRnGjBmD3bt345VXXsHGjRuxa9euHv+cTkVnX9JlBfn2km3bjctUQgjU1Da0O1NFSqCmtgHCBXd0m++WpyqJBsf6U1VYMm9RRzvXO0U63IUkhPQ+BnszM+zGZTK76cecnqYsL9feCga7cYSkG5XZ68fZjctkmqYkc7EDiVztLOWxlM7P0e63eTqzG5fJsvwedDbsxuJxxB6/z4PigfnweVSI+OpBIay9IIoH5vfJysF77rkHI0eOxOLFi3H77bdjwYIFOOuss5Kv+3w+PPjggxgwYACuv/563H333fjRj36E8vLylPcZO3Ys7rzzTmzatAlXXHEF/vWvf+Huu+/u9Pefc845OPnkk/HrX/8a55xzDpYtW9bTH9Gx6GqbdFk0Zu/CLRoz4XHwuTzUGG21+yJjqfcPTFMg1BhFrsN3Y0zkLZJSIBK16kRRNBiGgGEIqCrvk93y0kHiLuT+A7WIRE1IKaEoGmK6CWYIaCp3Tf5SQpxsf1XQdlzzGQBOFLY5cd9uXKaqret8c6JEXHZ2di+XhpCeZ/MSwHZcJtN1E4wzwGyeosPq2yUeM27laPd6nTu/yG76STekqTQMAa7wVteHzXGFwzAEFMXZg+A9ye/zwDe4ELGYAVMIKJzD41H77FrqkEMOwSOPPNLq+auvvjr593HjxuGJJ55Ief3b3/52q58566yzUgZKAeDLL79Medx8iTwA5OTk4A9/+ENXi01Ag52kGygficUwTHR231rC+fUAWPmIEssL2mIYAoK7LW8RAwNSjhHW7P+EkMwmOriY6U4cyXyGzVycduMIIenLFAKm0fH53TSE4/u+lLO5iSmEtUEVszZsbUlTFcrb302MMcdPmCE9z7m3mUivURR7h43duExFeYuaMKDT5fpCCFcM8yWW9EsAPp8Gj6ZAmAY8mgKfT7PyubpkST8hhLiK3aW7LljiS4jjSQnRSV9OWGvZ+6hApL8l8varKoffp8X3MNBTHlPefkL6Dn3TSJfZzT3j9Bw1tkfuXDDCp5v2Zq/ajctkiSX9TblLAdlsfqeqsOSSfkJI5lI1eyd3u3Ek8zGbDb7dOEJI+moI2ktbYTeOZL7mefsZY1AVDkgBVeFgjFHefkL6GA12ki6TsvM7Ugrnjr+RKUx7H9BuXCbrbBlPV+MymSkEhLR24ozGDOiGCUXRoBsmojFrx04h3baknxDnUbi9ixW7cZnM7gIGpy90oOWchLiHYfMGvt04kvla7x5unewTG+v0xe7hhJAmNNhJukzhHFzp+CTNFeb4Kfqqam/mqt24TKaqiq3dB91QFwrngJSI6Uayk5NYsi6E9TykdPz3gxCn01R7g5h24zIZt7nRgt24TKXa/Le2G0dIurE7RuOGsRxqA0hbmu8eLqUE4wqk7NvdwwkhlrS62n777bdxwQUXYObMmZg4cSLmzZuHO+64Aw0NDSlx69atwxlnnIHy8nIsWLAAzz//fD+V2J00TYGMD+IwZv0npUz+HQCkkI5fxu732UuSbDcuk2VneZM5WpPHQYtjQlE4srO8/VfIPqJpVqfGGt+Uybu31p/W81I6//tBiNPl59k7n9mNy2QatzdzyW5cpvJq9mbs240jJN3kZtm7dLQbl8ny83w9Gpep7HbtXXAJkOT3eTBkcCGKCrIRbaxHUUE2hgwqpIFOQvpYWrVEgUAAkyZNwq233ooHHngAF198MV566SX87Gc/S8asX78eV111FSZPnozly5fjlFNOwU033YRXX321H0vuLrpugjHWNLAprVl7iWVZ1gAXg647+6ImHNF7NC6Tcc5RVJgbH/iO/5cc2LOOiaLCXHAXzGbUdROMJ74fLDmr0/rTep5x538/CHG6uvpoj8ZlsnCsZ+MyVW29vfbebhwh6aah0d5Avd24TBZqtPc9thuXqSK6vWm8duOcgjEGTVNgmjFomkJL1wnpB2k1r/7MM89MeTxjxgx4PB7cfPPN2L9/PwYPHoz77rsPkyZNwm233QYAmDlzJnbu3IklS5bg5JNP7o9iu44pBMAYOOcwzXhnJn4ClzK+Cztjjs9JaBg2c/XYjMt0BfnZAICa2gYYpgBj1sCmqlgDoYnXnc467hk8HhVGPF9PooPDOYOqKhCCcnYSkul0w94mY3bjCCEk3VFe2ibUBlgSKZt6Ko4QQnpK2k+zKigoAADouo5YLIYPP/yw1aDmwoULsWXLFuzatasfSug+CucQQjQNdLZgmgJCCMfnJKScna0V5GejdOQgFBVkIRquR1FBFkpHDnLNQCcQz2nLAM4YfF4NmqpAmAY0VYHPq4EzBs463+SLEJLeKF8bIcRtKGdnE2oDLNzmznN24wghpKek5dW2aZqIRqP44osvcO+992Lu3LkoKSnBjh07oOs6Ro8enRI/ZswYAMDWrVv7o7iuo6ocop2BzgRhCqhqWh5ePSbL77G1KU+W3135WRhjKQN8blu24fGo8GgqDFNCSgnOGaQU8T8lDFNaMR5nd34Jcbqiwqwejctkds/yTm8NcrPsfUK7cYSkm2yb6SftxmWy3Bx7SSjtxmUqldmbsWk3jpBM8+GHH6KsrAwbN27sMO7hhx9GWVlZH5WKAGm2jD3hhBNOwP79+wEAc+bMwT333AMAqKurAwDk5eWlxCceJ17vDiklGhsbu/3zzfXU+6SrxnAMnTVXEkBtoMHRA32J3Iyyg2UZjDMEg42u2YwmGjMQDEURixnwZuWhqiaI+mAEOdleeF00uOfzqYjGdMRiBhD/tljpDKxBT59XRTgc7vA9srKcP0CSTqgN6B1OrotGmwkoG4JhmKaz05nYvYSVcPYxEQrbq4lQuPPzDbUBfYvaAHuCHXddUuKcXA+A/Tagrj7k6OuhmM3mLWY6/5hoKdHX76zP3xKd/wnpGWk5+nD//fcjHA7jm2++wX333YfLL78cDz30UK/+Tl3XsWnTpnZf9+cUQ1FaD1jJFklpTNPs8H2cQPNkwevPa/V8y7rYs2cv9JhzGzVF8cCblQdIgCsKEnNWrHqQEKYJkwHbtlXANB2+KwMArmjw+vPAGIMUAoBENBpBTOdoCIYQDddDmM5O0t4cVzR4vNngXAXjCqLRGIQwEIuGUF3ZeT1MmzatD0pJEqgNsI/qwkJtYRM6Jix26yFmdF4P1Ab0LWoD7KF6aEJtgIWOic5VVFR0KZ7O/6QjpmlCCAFN0/q7KGkvLQc7Dz30UADAlClTUF5ejjPPPBNr167F2LFjAQANDQ0p8fX19QCA/Pz8bv9OTdOS79+WXXsDrZ6TUrZaoquqKiZMmNDtcmSCxsYoaupS71C1VRfDhg5BVpZzl27ouomaQCi+Mz2DYZiI6TF4NA9UVYGU1jLmYYNLHT+zU0qJmkAjdN2EojAIIREON8Lv94NzBtOUyM3JRlFBlquWtUspEQw1Yu+efRg6bAhyst31+TMJtQH2UV1YqmvqEI6mXsy1VQ+FhQUYUHRIXxatz9ExYaF6yFzUBthD9dAkGIwg0BBJea6tuhgyeDBycpy7rp+OifaFw2FUVFSgtLQUfr+/v4uT0aSUMKNRSNMEUxQoXm+fXlO99tpruPfee7F161bk5+fj1FNPxf/8z//A6217rCMYDOK2227D2rVr4fV6cfbZZ2PAgAGt4urr6/GHP/wBr7/+OgKBAMaPH4//+Z//wezZs5MxF154IbKysnDyySfjr3/9K3bu3Il//OMfKC8v77XP6xRpOdjZXFlZGTRNw44dOzB37lxomoatW7dizpw5yZhErs6WuTy7gjHWyZTxgO33cvrUc8aUVoOdbcnOzoLf79zBTiklGsM6IjEDnLF4MnbrT8YYhAR8Pg15eTmOH+CKRnUIEYKmKeCcQ9cNMMbBGIOqquDc2pVcVT3wet11F4oxhl1mDLk52Y4/N2QyagO6ImA70sl10dYFXlvCUenoerAEbEc6uy4CtiOdXQ+Zh9oAuwK2I51dD0BjxN4u61xVHV4XAduRzq6H9vn9ftd+9p6gN4YQqa62BjuFBOMMitcL34AB0LJ6fxPcN954A9dccw1OPfVULFq0CFu3bsUf//hH7N27F0uWLGnzZ2688Ua88847uO6661BSUoInn3wSr7zySkpMLBbDxRdfjOrqalx77bUYPHgwVqxYgcsuuwwvvPBCSn7Pzz//HLt378bPfvYz5OXlYejQob36mZ0i7Qc7P/30U+i6jpKSEng8HsyYMQP//Oc/cdFFFyVjVq9ejTFjxqCkpKQfS+oeEgCP78jeHs657RxemYoxhoKCHOzZVwNdt+qCcwWGKWGYOhSFoyDf+QOdAGAKASEBSIlYVIcQAlxRoRsmTCGtTa2kFUcIIYQQQkgmMzvZrLWrcYSQ1vTGEBr37oMwDXBNA1MZICWMcASNe/cha+iQXh/wXLZsGSZPnpzcR+bYY4+F3+/HLbfcgi+//LJV/DfffIPXXnsNt99+O8455xwAwOzZs3HSSSelxK1cuRKbN2/Gyy+/nFxZMGfOHGzfvh1/+ctf8Oc//zkZW1dXh+eee44GObsorbbLvuqqq/DXv/4Vb775Jv7973/joYcewlVXXYWysjKceOKJAICf/vSn+OSTT/CrX/0KH374IZYsWYJXXnkFV199dT+X3j0UziFlxw23lAIKT6vDq1cEg+F2OzGmKRC0m8k9w1n/1hKxmAER37ApkatHCJncqMcNxwQhxB3s3sdywf0uEse5vX9su3GEkPSlqfbmDNmNy1TUFpLeIqVEpLraGuj0eMC4tWqQcQ7u0SBME5Hq6lb5YXtSKBTCpk2bsGDBgpTnFy5cCAD46KOPWv3Mxo0bIaXE/Pnzk88pipIcz0p47733MH78eJSWlsIwjOR/Rx99dKud3cePH08Dnd2QVmffSZMmYfXq1bj//vshpcTw4cNx7rnn4tJLL4XHY+1iN336dCxduhR/+tOf8Nxzz2HYsGG4/fbbccopp/Rz6d2Dc6Czc4qUVpyTmaaJQF2ow5hAXQhFhTltJu52Ek1TIIWElABjLQ8O63kppONzl7YkpYznMfVA1802cxgRQjJTfo6KQEPnyxjzc9Kqq9UrFAB2NuR1eguQ7QMabOxDku3c9H2EuEZerg9VNfW24pxsQIEPVbURW3FuQtcAB8+MRmFGo9aMzhZ1xxgDV5VkjOrrneOroaEBUspW+TZzc3Ph8XhQV1fX6mcqKyuhaVqr/WRavkdtbS3+3//7fzj88MNbvUfLsYOBAwd29yO4Wlr1wH/yk5/gJz/5Sadx8+bNw7x58/qgRKQttQF7OwrWBhoxqLj7m0alu7r6cKdL9WU8rqgwpy+K1G903Yxv1NQ0EM4Yb/Z3q1HSdRNer8NHwePCkRgCgSAi0Ri8WXmoCYTQGNZRUJADv8/T38UjhBykhkZ7SxMbGgUG9XJZ+pudgc6uxGWqhkZ7s0saGiVofgYhmc00JThnyRVNbUls0unkyZ2NEXvnvcaIRFEvlyVd0DVAz5CmaeXoVNsZJOYc0jAhzd7rXeTm5oIxhpqampTnGxoaEIvF2twgu7i4GLquo66uLuX16urqlLj8/HyUlZXhN7/5TafloIHy7nHHqAPpUbphLyG33bhMRfXQpClnZzsBEq7K2RmOxFBZVYdIzABjDFJYg8GRmIHKqjqEI7H+LiIh5CAJm3nY7MYRQgjJHKYQkB0MdALWqian930Nm9c5duMyHV0D9BymKGCctb+kVAgwzsB6cQVldnY2JkyYgFdffTXl+TVr1gAApk2b1upnErukr127NvmcaZp4/fXXU+KOPvpo7Ny5E4MGDUJ5eXmr/8jBc/B9JtJbrNwzUZtxzqWq9k6sduMyGWcMUgiAAUwCYLA2KeKKNQDKACkEuAvuSkkpEQgEYQoJTW3ayItzZu1UbwgE6oLweQvpLh0hmYyh/Rs8LeMIIYQ4ipTC1gqvzvY5yHQx3d6sOrtxmYyuAXqW4vVC8XphhCPgntSl7FJKCMOE6vdB8Xp7tRxXXXUVrrzySlx33XU444wzsG3bNvzxj3/EggULUFZWhg8//DAlfuzYsZg/fz5++9vfIhqNJndj13U9Je6ss87C008/jR/84Ae45JJLUFpaioaGBvy///f/oOs6Fi1a1Kufyw1oZifpsqJCezue2Y3LVH6f1qNxGS3e9kgJ6w5bvDGykkgz64Ycgysu+mMxAzHdgKqwNvPLqAqzYmLuuMNNiFNpqr0ulN04QgghmSMY6nziR1fiSOaja4CexRiDb8AAcEWBiOnWsnYpIU0TIqaDKwp8Awb0+sDxvHnz8Oc//xlfffUVrrjiCixfvhznnXcefv/737f7M7/97W8xd+5c3H333fjf//1fjBo1ChdddFFKjMfjwaOPPorjjz8ef/3rX3HppZfiV7/6FT7//PM2Z4ySrnP21DvSK1RVRW62Dw2h9pNR52b7oDp8ZifAwBmD6GC3Jmsmo/NH+ISQ4AqDNGV8pUHzHdmtXJ6d5TVyisSSfqWdhpfFjxmnL2sixOk4VwB0/j224ogbcGalbLETRwjJbIZhb6ai3TiS+egaoOdpWdnIGjoEkepqmNEopGGCcQbV74NvwABoWX0zuWrBggWtdmRPmDFjBr788suU5/Ly8nD33Xe3ir300ktTHufk5OCGG27ADTfc0O7vfuyxx7pRYgLQYCfppoKCHITC0TYHrzhnKChw9oY8AKBwDtnJAhYJCcXp29LDqguFc3DOYZoCQjTtOMg5g6IoYPE4p1M4h5Vepu1dF6WU4MwddUGIk2mqikhUtxVH3IErCoSNgQ3ei/nFCCF9g9J6kZboGqB3aFnZUP1Z1mCnaYIpChSvl1IBkE7RN410WSIfiaIo8HpUKBwQwoTCYT1WFATqgvFZfc7Fefv5khOktOKczuNR4dFUSGkdA5qqQJgGNNU6RqSMx3ic3+FL1IVhylbfASklDFO6pi4IcTKfzRRRduMymWaznbMbl6kGDbA3w8RuHCHpxm5mJjdkcCosyOrRuExl99aNG27x0DVA72GMQfX5oGVnQ/X5aKCT2OLwbmdvaTqBWX86e1Cvpeb5SFRVgQRHLKZDgkNVFdfkI6kNNPZoXCZjzJrNq3AG3TChGwIx3fpTN0wonKEgP8cVDVNqXYjk7GchJHRDuKounErK1DbA6Td2OuLmuqiqDac8Tu0XtB/nRHqLFXnt1UXLOKeJtZjo2149tIwjmcXN572IzWO8ZZwTCQF01pVjzIpzspZz2ds7JtywmJ+uAQhJL3RboYva6tAkchS65cSVyEcSi5loCIUR1Q2YpkSj3givpiI32wNV4Y7PR6IbTYO5zY+LxN8Tx0PzOCfz+zyQioqq2nooDAAUNDTGYEpg0MA8+H2e/i5in/H7PCgemI9AIIhINAbGFUgp4fNpKMjPcVVdOE17F7XtLVlyMrfXReLjt90vaGoHXDQO0mldOF2ive+sHtzSL3Ait5/3Etz+XQes6yFVVWGaZrtpvRRFcfz1UAIdExa6BiAkfdBgZxd0dufWLR0dhXMYpkCgIQLdtO5SQVqNekQ3YDYIFOT6HJ+PJJGrp7OOr1ty9ew6UI+3N+xEJGqgKFeDMGLgqgc1DTp8O+swV1FQMiivv4vZZ/w+D3yDC1FfH8S2bZUYNrgUeXl0NzeTURvQhOoiMWOn83rgLtmNho4Jq19gzfSz1vw0/6cXMrFdoXRNv8Bp6Bi3UD1YEvkZ1Xi6Jl3XEdNNeDQVmqYl2winXw8BdEy0RNcAhKQH5599e0znCai7Fpe5NE1BIBiFqjBoCocQEqawGnRN4VAVhkAwCk1zdnaWwoKsDndiBwAhpeNz9QBWJ+bjzXsRiRrIz/GgMWqiuj6KxqiJ/BwPIlEDH2/e66qlXoB1J1vTFJhmDJqmUCcng73w7rYejctkX2+29xntxmWq/Bx7A1Z24zJZjr9n4zKVRwMMUyaXtgrZ9B9gDZAbpoTHBfkMnYbaAIvX5unMblwma56fkXOWktaLc+aa/IxZNvNS241zCroGIKT/0WCnTS+8uwem2XG2EdM08cK7e/qoRP2nqi6Min0NVuPOAFNImNL6kzPAMAUq9jWgqs7ZecpqgzFUBiIdxlQGIqgNxvqoRP2nMtCIqkAYqsJwoLYRlYEwGqISlYEwDtQ2QlUYqgJhVLogfylxLjttgBtsrLJXFxur+qhA/eS5f+2A3kk96KaJ5/61o49K1H9eet9eH+ml953dR3py7VfYurcuOaszcWnL4o8lgK176/Dk2q/6r5Ck26gNAJ59p8JWPTz7TkXfFKgfJfIzmqZAbX0Y1fVhNEQkquvDqK0PwzSFK/IzPv/uTlvHxPPv7uyjEhFCiIUGO7tgxQftn8xN08SKD9xxEo9EDeytacQn31QhEIzBo3Jk+1R4VI7aYBSffFONvTWNiESdnZMqEjWwsaIGu6tCrXKySQnsrgphY0WN4+sBsOoiEtNRF4wippvgjIED4IwhppuoC0YRiemuqAviXNQGNKG6ACJRHa98sLPdAU/dNPHKBzsRiTp/p45IVLd1TDi9LhojMXyxPYCvdwWSMzw5a5rR+fWuAL7YHkBjxPk3QZ2IznvWcWynHgzTHSt5qusj+GxbTavroUAwhs+21aC6vuNJEU4Q0w1bx0RMp2sAQkjfcva8+l6Q6MicNqMEnDEIKfHKh7v6uVR9y6txRKI6GiNATbAS+dkeqJzDEAJ1oRiktDr3Xs3ZY+lej4JozMTH31RjY0Utxg3Pg9+jIBwz8fXu+uSue16Ps5fzA011YQoJTbX+3YWw8rhyWDsSRmOmK+qCOFuiDTh9Rkl88xmJlS5rAxLcXheqAsQM4JV4PSyYNhwejSOmC/zzo90pcU7HpLUBR+KYOHVGCRTGYEqJVc2OiUScU/m9KiIxE19stwY1xwzNRZZPQ2NEx5a9DSlxJDO5/byX0Nl33Q0SKZyq6iIwhIQnyKBHI9C8PsQMiUBDFB9v3ovhxbnOnt0ZH9fu9Jhwx/g3ISSNUG+rm9w2wNlcTUMkOZORMaAuGIOEtUyLcWtWo5RW3OABuf1Z1F7V1G2RACQ27QhAmAI8nrcU8VpxcPcmqXldSClhCgkhrJQGCndXXTQnpURVXRi1IYGqujBG+P3O7vC6iBsvbtvj1rrIz/ahMdqUmqP5AGfLOKeLtpjQ096gR8s4p8nxcdQ2jWmmDHC2jCOZza3nvZbcNsDZXCKFU7ZfA2MM9aEYQqEIsrM5/D4Psv1aMoXToMLs/i5ur2k5ibe9Y8Ilk32ThBD4ZlctdlQZ0HbVYuJYH7gLNqsiJJ3QYCfpslCjDsasAU3RbJKGBJCYtMGYFedkkZgJr0dFKBxFuNkVnGkI6AagcMDrsWZ5OF3zumj+eU1DQIe76iJh14F6fLx5Lw7UhhBu1FFRux2DCqsw9dChrtqVnhCnaozZW5JnN45kvojNbo/dOEJI+opEDZhCwDQZ9teHEdVNCFOiUQ/Dq8WQl+2FKQSlcHKhDV/uxb837kIorEMIiW8ObMe7n+3BrPISTCkb2t/FI2lq6dKlePDBB7Fhw4b+Lopj0O0F0mU52Z5WOSpbktKKczKfV43PYmz7dVNYM/t8LliuRnWRateBeqxbX4F91SF4NQ6fx0rrsK86hHXrK7DrQH1/F5EQcpBybc7YtBtHMl9ejr1/a7txhKQbxeaVo924TObzqhBCorKuEVHdhMIZOAcUzhDVTVTWNUII5/d9rdVsPReX6TZ8uRfr1lcgGNahKAwKBxSFIRjWsW59BTZ8ube/i0jS1LnnnotHHnmkv4vhKC5oinrGsePsnaDtxmWy0UPzOk27IuNxTjYgz4dwfLMFBms2K+J/Jo6CcNTAgDznX9RQXTRJ5HCKRA0U5HqhqQoYY9BUBQW5XkSiBj7evBeyszsGhJC0dtbsUT0al8lOmZzTo3GZav60YT0aR0i6ueDE0T0al8kG5vvjMzslVIUl0xQxxqAqDKZppXUamO/v55L2ru/NLe3RuEwmhMC/N+6y9jBQ4qsg4+ndNAUwhcS/N+6GEM7OX90bpJQIH9iPhh3bET6w35HXUUOGDMGkSZMO+n1isRgdY3E02GnTv76294WyG5fJ3vm07bxk3Y3LVF/vqoWI/3NLIDnbVcqmHNxCSny9q7Y/itenqC6atMzh1BxjLCWHEyEkc725YU+PxmWyNZ8EezQuUz35+jc9GkdIuln5gb1ZaXbjMllVXRgK59YmraaEEDKe4kvCMCVUhUPhDFV14f4uaq96/l17eVvtxmWyr3bWIBTWwQBEdQndEBAS1katugQDEArH8NXOmv4uakYJ7tqJbS+/iG0rX8aONauxbeXL2Pbyiwju2tknv//rr7/Gj3/8Y8yYMQNHHHEEFixYgOXLlydf37BhA37wgx9g8uTJmDZtGhYtWoTq6urk67t27UJZWRlefvll3HbbbTjyyCMxe/Zs/O53v4NhNKW5WLp0KaZMmZLyu3fv3o1rrrkG06ZNw+TJk3HppZfiyy+/TImZO3cubrvtNixfvhwnnHACJk2ahEAg0DuVkWGcPa+e9Iq6YKRH4zJVMBSDnfX8wVCsbwrUj6gumiRyOKmq1ubrqsrRGNEphxMhGY7aQtJSJGovGafdOELSTWPEXj/Oblwmi0QNcM4woMCP+lAUMd2EAMCkhFdTkJvtRUw3Hd/fi9rMS203LpMFQzGYov3rocRrbrge6inBXTux6421MMIRaDk54NkqhGGgcf8+7HpjLUrmzUdOyYheLcPll1+OgQMH4je/+Q1ycnKwY8cO7Nu3D4A10HnhhRfiuOOOwx//+EeEw2H86U9/whVXXIF//OMfKe/zpz/9CfPmzcOf/vQnbNiwAUuXLsXIkSNx/vnnt/3Zg0FceOGF4Jzj1ltvhdfrxX333YcLLrgAK1aswNChTflfX3vtNRxyyCG46aabwDlHVlZW71VIBqHBTtJledneHo3LVNlZWnJ8j8cn8AmZ+ncprTinS6kLDiD+2RkDwKyNrNxSFz6vCoVzGIaAR1NavW4YAgrnjs/hRIjT5WbZ+w7bjSOZz6sx2Lme92rOT3lEnMnv1WxtNun3uqe/pyocg4uyEYnqCIUakZ3th8+rQTesJe5O7+95NQ7D7PyY8GrOX1Ca5bf3b203zu2klDiw/r8wwhF4CwuTK+YUjwdcK0Q0UIsD69cje3hJq9V0PaWmpga7du3CTTfdhLlz5wIAZs6cmXz9nnvuwcSJE7Fs2bJkGcaPH4/TTjsNb7/9No477rhk7KRJk/DLX/4SAHDMMcfgww8/xD//+c92BztfeOEF7NmzB6tWrcKYMWMAAEceeSROOOEEPPLII1i8eHEyVtd1LF++nAY5W3D+WYf0uMNHDezRuExVlOtL5qaUAMCYlZ+SseTSbcasOKdLqQuJlKSdiUFQt9RFcUEWBhb4EQrrkFIippvQDetPKSVCYR0DC/woLqDGiJBMlmXzYt5uHMl8WT6bF7o24whJNwtn2ctBbDcukzXv7wGAR1OgqSx5o9st/b0hRfZyktqNy2R2h9vodpc9kcoDiFRXQcvJaTM1mJadg0h1JSKVB3qtDIWFhRg+fDj+8Ic/4MUXX0zO6ASAcDiMjz/+GCeffDJM04RhGDAMA6WlpRg6dCg2btyY8l6zZ89OeTxmzJiU92tp/fr1GDduXHKgEwAKCgpw9NFH46OPPkqJnTFjBg10toEGO0mX6aaEp5O7cx6NQzednb80qgv4vBoY4rkphbTyVcZz9jAAPq+GqO78BMFUF00YY5h66FBwzrDrQAMO1DaiISxxoLYRuw40gHPr9d66A0kI6RsNYXtL8uzGkcwX0e31e+zGEZJuJFM6Hahh8TinS/T3fF4VgYYoYoZ1UztmmAg0ROHzqq7o70UNe5/PblwmC4UNdPbPzZgVRzpnRCKQhgmutn2DkKsqpGHCiPReuiDGGB544AGMHj0at912G4477jicffbZ+O9//4v6+nqYpok77rgDhx9+eMp/e/bswd69qbmLc3NzUx5rmoZYrP2UBvX19Rg4sPXksQEDBqCurq7Vc6Q1urVMusznVZHt88AwImgrLQlnQLbP4/hlGz6vihy/B15NQX1jFGZ8cFcCUBSGvCwPNFV1fD0AVBftig/0IrErPV3fEuIY+Tn2ZqrbjSOZLzfbh7pg57nYcrPpmCCZyedVUVyYjcpAqM1U7YwBxQXZrunvlQzKw9zppfh4814cqA0hEgOYKjBkQDamHjoUJYPy+ruIvS4/x4ddBxpsxTldTrYHnDEwZuXnbP4VYQAUbq3+y8n29FMJM4vq84GpCoRhQPG0rjNhGGCqAtXXu8fWqFGjsGTJEui6jg0bNuAPf/gDLr/8crz11ltgjOGyyy7DiSee2OrnCgsLD+r35ufnY9u2ba2er66uRn5+fspzTr+p0l1pNbNzzZo1+OlPf4pjjz0WkydPxplnnonnnnsOskVr+uyzz2LBggUoLy/HGWecgTfffLPXy3bK5JwejctkA/P9MIUAGIPPo0BVrOXbqmI9BmMwhcTAfGcvV0gsX2GMYeTgPBQX+JHtAYoL/Bg5OA+McVcsXwGoLpqTUuLjzXshhMTwQTkoLsxCro+huDALwwflQAjr9ZbnNUJIZpl1+OAejctk584e0qNxmeqs2faW7tqNI+ljnM3uvd24TJXo7xXm+lE6JBeawsEAaApH6ZBcFOb6XdPfSygZlIfT54zHSUcdggnDNZx01CE4fc54Vwx0AsBJRx3So3GZbPyIImT7NQgAPo8Cj8ahcGvFo8+jQADI9nswfkRRfxc1I/iKB8E3YCD0ULDVdZOUEnooCN+AYviKB/VJeTRNw1FHHYWf/OQnCAaDqKqqwuTJk7F161aUl5e3+q+kpOSgft+0adPw1VdfYevWrcnn6urq8P7772PatGkH+3FcIa0GOx9++GH4/X4sXrwY9913H4499ljcfPPNuPfee5Mxq1atws0334xTTjkFy5cvx+TJk3HVVVfhk08+6dWyrfkk2KNxmayqLgyFcyiKNajJGYPCAR4f5FQUBoUzVNWF+7uovar58pW6YAyaxuHzMGgaR10w5prlKwDVRXOVgUZUBcLI9mvgnKfkcOKcI9uvoSoQRmWgsb+LSgg5CKv+XdGjcZnspQ/s5cuyG5ep3tywp0fjSPoQBfZm6NiNy1TN+3v1jQYKcr3I9QEFuV7UNxqu6u81xxjDwHw/CrM5Bub7XfX5t+3rfFZnV+IyGeccs8pLoHCGqCEgEU/rACBqCCicYVb5cHCeVkMwaYsxhkHTj4Tq8yEaqIUZi0EKATMWQzRQC9Xnw6Dp03v1+7Z582ZcfPHFePbZZ/HBBx/g9ddfx3333Yfhw4dj5MiR+N///V+89dZbuPbaa7F27Vp8+OGHePnll/GLX/wCH3744UH97rPPPhvDhg3DZZddhlWrVuH111/HJZdcAlVVcdFFF/XQJ3S2tFpjcN9996GoqOlOx6xZsxAIBPDQQw/hiiuuAOccS5Yswamnnoprr70WgLUb1ldffYV7770Xy5cv76eSu0skaoBzhvwsLwLBSFNuTiGgKhwF2V7IeJzT0fKVJlQXlkjUgCkEVLXtTUlUlaMxorvi+0GIk9UH7eWIshuXyQzDXj5mu3GZqs7mv7XdOJI+6PvepGRQHsrHFOPfG3ehLqhDCCAUiyDb70H5mGLX9PeIJRiKgXOWzNffEgPAOEMw1HmKDyeYUjYUAPDvjbsQClvfDw6JHL8Hs8qHJ18n9uSUjEDJvPk4sP6/iFRXwQiZYKqCrMFDMWj6dOSUjOjV319cXIyBAwfib3/7G/bv34/c3FxMnz4dv//976EoCqZOnYonn3wSS5cuxQ033ABd1zFkyBDMnDkThxxycLOZc3Jy8Nhjj+HOO+/EzTffDCEEpk6discffxxDh9JxZEdaDXY2H+hMmDBhAp555hk0NjaitrYWFRUVuP7661NiFi5ciLvuuguxWAyeNvI5kJ7l86oQQiIYiYGBwaMxCFOAKxxSAHWNUeS4IGdnQsmgPAwvzsXOfTX46uutGD/uEIwYUuSqu7oJVBfW90PhHIYhkjtyNmcYAgrnrvl+EOJUeTk+VAY6X8GQ54I8ZarKodsYyFRVZ89modx1zkXf9ya7DtRj45ZKKJxjQL4PkUgYPp8PuiGxcUsliguzacDTRXKyPVY6M00Bh4RuCpgCULiV3kCAwTSFq/JUTikbiiPGDcbn3+zFlm27MGZUCSaOHUozOrspp2QEsoeXIFJ5AEYkAtXng694UJ9cXw4YMAC///3vO4wpLy/H/fff3+7rJSUl+PLLL1s9f9NNN+Gmm25KPr766qtx9dVXp8QMHz4cS5cu7fD3r1u3rsPX3Sztv3EfffQRBg8ejJycnGS+glGjUnMdjRkzBrquY+fOnb1WjjOOtLcsxW5cJkvk7DRNCVVlUDgHY4DCOVSVwTSlK3J2Nufm5Sstub0uEvmsQmG9zfwyobDuunxWhDjRCUfYyxFlNy6TfWuWvbykduMy1fwjR/ZoHEkfZ8we06NxmSqRlzwSNVCY54OqcDAwqApHYZ4PkahBecldJpGn0jAFGGfwaCo0BfBoKhhnMEzhyjyVnHOMLSnEyIEqxpYU0kDnQWKMwT9oMHJHHgL/oMGuu74k3ZPWU4vWr1+P1atX4xe/+AUAKyErAOTlpd4tTDxOvN4dUko0NrafQ2/Ff2ttvc+K/9aitNTZufiq6sLxwU0G3ZDgXEJKwBQCQljPMyaxa3+tqwY8w+Fwyp9u5va6OLy0EDV1jaitD8OncUgpEY3qiOgCXo+Cw0sLO62brCwaDO1LnbUBXdFT7+METq6LR179ynbcT8929vf5mXf22o67ZohzNyn6+Mv9tuLWb9qLqWUdD/xSG9C3OmsDrHz1Vm769iicYX9NEAPzzd4oYlqoqgvjQG0ICgf2VwcRMwSEKdGoh+FRo8jyaThQG8LOfTWuugYA3N33nVY2CO9+ugdRXUDhgJSAYZrxGZ4M08qKEYk4P8VDS909Juj8T0jPSNvBzn379uHnP/85ZsyYgR/84Ae9/vt0XcemTZt65L166n3SVW1IwIjp8GsSER0wTSvxsjQFVA54NcCI6fjq662ozHbfXayKior+LkLacHNdjCgQ2FFtoKFRQgogakSQ42UYkS8RqNyJQGXHP0+77PUtagN6h5PrIpmv2kack+uhq5xcF9v36Pbidu2HX9R0GENtQN/qrA2oDQloioTZQbYGTZGO7/vWhgSCoRh0w+r7c279J6VAOCoQiRrQVDi+Hjrixr6vCmDMYI5tlYZ1bEiASQmPCpQWK1BjVdi0qaq/i9lvunpM0PmfkJ6RloOd9fX1+PGPf4yCggIsXbo0Oe07Pz8fANDQ0IDi4uKU+Oavd4emaRg7dmy7r6/9fIPt95owYUK3y5EJqurCqKjdDq/GUahwRGMGwuEI/H4fvB4VuikQ0wXGjzvEVXd1w+EwKioqUFpaCr/fPZ+7LVQXlplSYs+BALbv3INDRgzDsEEFtOwiTVEbYB/VhWXdFxtgZ7xTYc6uB4COiYR6cxd21nRyJwvAsMFFmDChpA9KROzqrA2oDDRi466voXAJVWHQDQEhAc4ATeUwTQkJhnFjRzk6TU2iHsAkvBq3VnaZJlRFAVMBXReuqIe2uL3vOwGAEAKbKyqxc/cBjBg+CIeWFrt6+bbbjwlC+lvaDXZGIhFcdtllaGhowD/+8Q/k5uYmXxs9ejQAYOvWrcm/Jx5rmoYRI7q/GxdjrMemjDt96vkIvx+DCquwrzqEvGwFpgAM07rbzRhDJGrtwO2mjWmklKiqC6M2JFAcA4qK3JerMoHqItXwwQz1NfswfHCh488NmYzagN7h5Lo4ZEg2tu4N2Ypzcj10lZProqre3m7DVfUxR9dDJuqsDfBFBAAGxgDOGTRVgWmaUBQFnCM+45PB5/M5+t+2eT00/Ymmfh5jcEM9dMTv97v2swPAYaM5WLQGE0YPdnU9NOf2Y4KQ/pJWg52GYeDaa6/F1q1b8cQTT2Dw4NR8RiNGjEBpaSleffVVnHjiicnnV69ejVmzZtFO7H2EMYaphw7Fyne+wvZ99UjkIA/FwqiqCyMv24uphw51zQDXrgP1+HjzXhyoDSHcqKOidjsGFVZh6qFDXbcbJdUFIcQtYqa92Sp240jmqw/ZG+y0G0fSRzRmwutREI4aiMTMZN/XECYYA1SFw+tREI05N18n0FQP0ZgJ02w2+AAAXYhJREFUwxTgjEFKQAgJISUUhcGrOb8eCCGEpL+0Guy89dZb8eabb2Lx4sUIBoP45JNPkq8ddthh8Hg8uPrqq3Hddddh5MiRmDFjBlavXo3PPvsMjz/+eP8V3IUqa0Px3aZTn5cSCIV1VNaGXDG4tetAPdatr0AkasDv5ZAewKtx7KsOYd36CsydXuqKegCoLggh7pKf48OuAw224pxOVRgMG2v6VcXZN0HzcnyoDHS+EUWeC44Jp/F5VSicJ/u9DFbOysQRLSWgcA6fN60urXqcz6vC59Hg86gIRXTEdBMCVn5Gr6Ygy6cBYI6vB0IIIekvrVqi9957DwBw5513tnrtjTfeQElJCU477TSEw2EsX74c999/P0aNGoVly5ZhypQpvVq28+YMtbXb6HlzhvZqOdKBEAL/3rgLQkp4NYaYLpMdPo/GoJsS/964G0eMG+zoPC1SSny8eS8iUQN52RpCYR2RmARXBfKyNdSHdHy8eS+GF+c6fpZr87ooyPVCCIEos5Z5eT0aAg1R19QFIU43CMABm3FONm9aCb7Y2nl+xnnTnJ+b8fvzRuGR17bainOyU2eVYsmztbbiSGYZmO+HKUS878shJYORyFXJJGKGhCmk43PVFxdkYWCBH/uqQxhUmIVozEAo1IjsbD+8HhV1wRiGDMhyXb5OQggh6SetBjvXrVtnK+7cc8/Fueee28ulSfXyB3Yu7ay4nzfLJ+pEX+2sQSisQwiJaLNdKSWAqG7d8g6FY/hqZw0OPWRg/xSyD1QGGlEVCENKgZ0HGmDGZ7WEYmHUNESQl+VBVSCMykAjBhVm93Npe1eiLrL9WqvBTMYYsv2aa+qCEKez1xraj8tUb3y0y3bc6XPG93Jp+teL7+22HXfFOc69KfzvL/bbjpt3pLMHfp2mqi4MhXMoCoMp4ruQW+kpYQpAURgUzlBVF3Z0PyeRymrd+grUBWPweTlUBQBD/LHqqlRWhBBC0pdzp931MN2wl3vGblwmC4ZiMEXHy9VMIRF0eE6qSNRAMBxFoCEK05TJpUwMgGlKBBqiCIajiESN/ixmn4hEDZhCQFXbPqWoKocphCvqghDiDnXBSI/GZbJIVO/RuExFx4RzRaIGOGcozs+CV1OsHJXCylXp1RQU52eBc+aKfk7JoDzMnV6KIQOyEdMFIjEgplubk1LKIkIIIekirWZ2prOWuSkPNi6TebWejctUHo0jEjWsJfwsvhOlkGCcAVJCSqtz7NGcf08hkcvKMAQ8mtLqdcMQrshlRQhxjxy/vfOZ3bhM5vMqiBnCVpyT5WbZ6/jYjSPpI9HPURSOwQNyEI7Eksu3/T4PYroJxZSu6eeUDMrD8OJc7NxXg6++3orx4w7BiCFFNKOTEEJI2nD+KEwPsTuG6YKxTnzyTec5yroSl6kCDZGmRPVtLN0GrMHvQIPzZ3AkcjhZm1alfguklAiFdQws8FMOJ0KIY9i9pHfDpf/Mw4f0aFymyvV7ejSOpI+W/RyPpkBTGTya4tp+DmMMA/P9KMzmGJjvp4FOQgghaYUGO0mXBRvtLU+3G5epgo06Ev06KWXTtF4pkwN+jFlxTpfI4eTzqgg0RBEzTEgpETNMBBqilMOJEOI4DWF7y1XtxmUyIe3NZrMbl6kawvbae7txJH1QP4cQQgjJLDTYSbosN9vXo3GZKifbA8YYNJWDMwYJJP/jjEFTGRhjyMl2xwwOyuFECHGT/Bx7bZzduEyWk+2Bwjse5FG489vDPJv/1nbjSHqhfg4hhBCSOWiw06YfnVrWo3GZ7NwT7O0qazcuU40fUYRsvwZTSHg0Do+qQOWAR1Xg0ThMAWT7PRg/oqi/i9pnSgbl4fQ543HSUYdgwnANJx11CE6fM54uAAhxkAtPLO3RuEx18kx7u2nbjctkifaQtzPgyTlzRXs4/dAhUBWrDuIbdbf6u6pwTD/U2cv5nYz6OYQQQkhmoMFOmwYOHNijcZnM6/WiMK/jWQmFeT54vd4+KlH/4JxjVnkJFM4Q1QVEPGOrgERUF1A4w6zy4eDcXV8zyuFEnGjxRcf0aFwmGz58eI/GZSpN03DI0PwOYw4Zmg9Nc/5mNM3bQ84ZNI1D5YCmcXDOXNMeKoqCqYcOBdC00qPl36ceOgSK4uyNmpyO+jmEEEJI+nN2r7OHdXYR64aL3ITLvjWt3QHPwjwfLvvWtD4uUf+YUjYUc6eXIsevQZgSpgCEKZHj92Du9FJMKRva30UkhPQQagOaUF1Yzj9pYrsDnocMzcf5J03s4xL1H2oPLXOnj8JRhw9LzvBMUBWOow4fhrnTnT/TlxBCCCGkvzk7U3wvWHzRMaiqqsLfV32ZfO5Hp5a5YkZnS5d9axqi0Sj+sXYTaupCKMrPxnfmT3D8jM6WppQNxRHjBuPzb/Ziy7ZdGDOqBBPHDnX8DBZC3GjxRcfgzkfea/N5t1l80THYvXs3Hnu9IvnchSeWOn5GZ0vnnzQRuq5j1btfY29lAEOLC3Dq7HGumNHZErWHlrnTR+G4KSPx7892YPuu/TikZDBmTRpJMzoJIYQQQvoIDXZ2w8CBA3HNuVnYtGkTJkyYgKysrP4uUr/xer04Z+74eF2Md91AZwLnHGNLCqE37MPYkkLXXdgR4iaLLzoGjY2N1AbAWqp+zbmFrq8LTdNw0ozSeD2UunKgM4HaQ4uiKJhaNhh+UYMJZYNpoJMQQgghpA+5swdKCCGEEEIIIYQQQghxHBrsJIQQQgghhBBCCCGEOAINdhJCCCGEEEIIIYQQQhyBBjsJIYQQQgghhBBCCCGOQIOdhBBCCCGEEEIIIYQQR6DBTkIIIYQQQgghhBBCiCMwKaXs70L0t48//hhSSng8Hts/I6WEruvQNA2MsV4sXfqjurBQPTShumjS3brweDwoKyvrxZKRBGoDDg7VhYXqoQnVheVg6oHagL5DbUD3UT00obqwUD00oWsAQvqX2t8FSAfdOREzxrrUKXIyqgsL1UMTqosmVBfpj9qAg0N1YaF6aEJ1YaF6yAzUBnQf1UMTqgsL1UMTqgtC+hfN7CSEEEIIIYQQQgghhDgC5ewkhBBCCCGEEEIIIYQ4Ag12EkIIIYQQQgghhBBCHIEGOwkhhBBCCCGEEEIIIY5Ag52EEEIIIYQQQgghhBBHoMFOQgghhBBCCCGEEEKII9BgJyGEEEIIIYQQQgghxBFosJMQQgghhBBCCCGEEOIINNhJCCGEEEIIIYQQQghxBBrsJIQQQgghhBBCCCGEOAINdhJCCCGEEEIIIYQQQhyBBjsJIYQQQgghhBBCCCGOQIOdpMdIKfu7CIQQQvoJtQGEEOJe1AYQQghJJzTY2QOocbcwxqguAASDQWzcuBHBYLC/i5JxhBCoqqpCLBbr76KkFSFEfxeBdIDOexZqA+j8fzDo/N8+agPSm9vPewnUBlAbcDCoDWgftQGEdA8NdvYAxlh/F6Hf3XnnnZBSurouTNMEAKxZswa//e1vEYlE+rlEmSPROa6oqMCvf/1r7N+/v59LlF44Tz1Vu/1iIt24+byX4PY2gM7/3Ufn/85RG5De3Hrea47aAGoDuovagM5RG0BI96j9XYBMt3//frz99tuIRqPwer0YPnw4Zs6cCUVR+rtofWbPnj144oknMHfuXBx11FEpr7mp45NoiDZv3ozi4mLk5+f3c4kyR+I4eeONN7Bp0yaqu7hAIIC1a9fiyy+/xLBhw3DYYYdh8uTJ8Pl8/V00EkdtALUBAJ3/Dwad/9tHbUD6ozaA2gCA2oCDQW1A+6gNIOTg0GBnN5imCUVRsHbtWtx33304cOAAFEXB/v37cf755+OYY45BTU0NhBAYOHBgfxe3VwkhMGzYMJx55plYunQpHnvsMQBNDRdjDB9//DGefvpp3HXXXf1c2t6V6MydfvrpWLZsGWprazFo0CAIIZL10fLOHLEk6uXII4/El19+iVAohLy8POi6DkVRXFVvifPLp59+irvvvhuffvopBg8ejHA4jOrqaowYMQKXXXYZTj/9dHg8nv4uritRG9CE2gALnf+7j87/qagNSH/UBjShNsBCbUD3URuQitoAQnqOu84ePSRxt/aee+5BaWkp7r//frz99tsYPnx4slOzYsUK3Hnnndi3b19/FrXXJRqgH/7wh9ixYwdWrlwJwGr0v/76a9x44434wQ9+4PiTcWI5wZ49e7B48WJ89NFHeOqpp1BTUwPOeUpjTXlX2vfyyy/j7bffxocffggA0DQtpd4Sy4ScLNFhvvvuu8E5x9KlS/HEE0/gxRdfxIMPPojRo0fjnnvuSdYRLWXpe9QGNKE2gM7/PYXO/xZqA9IftQFNqA2gNqCnUBtgoTaAkJ5DMzu7KHF3btu2bdi7dy+WLFmC8ePHIxgMYs+ePTj66KMBAKNGjcLzzz/vyLtRuq7j888/x/Dhw5Gfnw+v14uxY8di4cKFeP7553HUUUfhoYcewnPPPYehQ4di2bJlyXpxqkTDtH//fhQWFsLn8+G+++7DU089hYkTJ2Lq1KmYMWMGysvLHd3hOxhbt27Fm2++idzcXCxevDi5JCpRb5qm9XcR+wTnHNFoFJ988gmWLVuG4447LvnawIEDMX78eFxyySV47rnnMG3aNGRlZfVjad2H2gBqA1qi8//Bo/N/E2oD0hu1AdQGtERtwMGjNqAJtQGE9Bwa7OymiooKDBkyBNFoFADw3nvvoaCgAKNGjQIAHDhwAMFgEIMGDerPYvaKt99+G1dddRUOP/xwTJkyBVOmTMGhhx6KU089FU8//TTOOussZGdnY9GiRTj//PP7u7h9asqUKfjLX/6CiooKfPXVV9i8eTO2bNmCl156Cc899xyi0SiuuOIKfP/73+/voqadYcOG4Y477sD27duxefNmfP3113jxxRfx5JNPorCwECUlJTjttNOwcOHC/i5qr2l+ETVw4EDoup7yPGMMAwYMwHe/+1387W9/g9fr7ecSuxe1AdQGtETn/+6j87+F2oDMQW0AtQEtURvQfdQGWKgNIKRn0WBnFyXu3h1++OEwTRNPP/00ysvL8c9//hNHHHEECgoKEAwG8fbbb+Pwww/v59L2jqOOOgp33nkn1q9fjzfffBOPP/448vLyUFZWhqFDhyI3NxfXX389pk+fnkzY7iaFhYUoLCzElClTAFh3erds2YLNmzfjv//9L8aMGdPPJUxPPp8Ps2bNwqxZswBYy4ES9bZ161asX78eO3fu7OdS9q7E+WXIkCEYMmQIli9fjvLycgwePDgZI4TAjh07kJub66oNENIFtQHUBnSEzv/dQ+d/C7UB6Y/aAGoDOkJtQPdQG2ChNoCQnsUkJXrotkcffRR/+ctfcPbZZ+O5557Dj370I5x55pn4+9//jg8++ACLFi3C8ccf39/F7FVSSmzduhUffPAB3nvvPWzatAl79+5FSUkJxo0bh4kTJ+KMM87AiBEj+ruofSIajeLzzz/Hxo0bUVZWhrFjx6K4uDj5umEYUBTFFTtTdkcgEEB1dXWrzqBhGNi6dSuKi4tRWFjYT6XrW2vWrMGNN96IkpISfOtb38L06dNhGAaef/55fPDBB7jwwgvxwx/+sL+L6WrUBlAb0Byd/w8Onf9TURuQ/qgNoDagOWoDDg61AamoDSDk4NFgZzfoug5N0xAOh/HQQw/h2Wefxd69e5GdnY1BgwYhEAjglltuwUknneT4Oy6JukhobGzE119/jXfeeQcffPAB1q9fj0ceeQQzZszox1L2LiEEOOfYvHkz/vSnP2HDhg0YNGgQvv76axx55JF44IEHEAqFoOu6I5czHYzEsoxQKISVK1dixYoV2LlzJyorKzFv3jz89re/RW5uriNzXnUkUS+ffvopli9fjv/+97+or6+HlBLFxcX44Q9/iPPOOw+5ubn9XVRXojagidvbADr/dx+d/9tHbUB6ozagCbUB1AZ0F7UB7aM2gJCeQYOdXRCLxeDxePDCCy+Ac46zzjoLAFBTU4Ovv/4aFRUV0HUdc+fOxbBhw/q3sL0o0bDv3LkT//rXvzBy5EjMmTOnzdi6ujrk5+f3cQn7VqI+LrzwQnDO8Z3vfAfHHnssfvjDH+Kwww7Dbbfdhn/+859Yu3Ytfvazn7ni7rZdhmFAVVUsW7YMK1asQFlZGb7zne/g/vvvRygUwvPPP4+NGzfi5ZdfxsUXX4zhw4f3d5H7XDQaxa5duxAIBKDrOvLz8zFhwoT+LpYrURtgoTagCZ3/u4/O//ZQG5A+qA2wUBvQhNqA7qM2wB5qAwjpPsrZ2QWJHfSWLFmC888/H4ZhgDGGoqIizJgxI3nXMhaLAWi6K+M0iYb9sccew+bNm3H99dcnn08kT06ckJsv33AqzjkikQg++eQT/OUvf0l2+LZs2YJLLrkEAJCfn49t27YhFAr1Z1HTTmLGwzPPPIPvfe97uPzyywEAv//975O7Dwoh8PXXX2P79u2u6OhIKbFt2zYEg0HEYjEMGTIEJSUllOcpDVAbYKE2oAmd/7uPzv9tozYgfVEbYKE2oAm1Ad1HbUDbqA0gpOfQYKcN0WgUK1aswIEDB1BWVoYDBw7gmGOOgao2VZ+UEoZhoLGxEQ888AC++93vOvaubqJxWrt2LX74wx8m7y5xzpGYKPz5559jw4YNOO+881KSKjtNoiP71VdfYdCgQfD7/QCsz6/rOiZNmgQAiEQi2LNnD8aNG9efxU07jDFUV1dD1/VkMnfDMPDNN99g8eLFAKzjbdu2ba5Z/vPXv/4Vy5cvR2NjI1RVxfDhwzFp0iRMnjwZY8aMwdChQzFixAhXLuvpL9QGpKI2wELn/4ND5/+2URuQfqgNSEVtgIXagINDbUDbqA0gpOfQYKcNdXV12LRpE9atWwfTNME5x4MPPojJkydj4sSJGD9+PHJycqBpGrZt24b7778f11xzTX8Xu9cwxlBTU4PGxkaUlJQkOzeJu7mJmJdffhmnn356P5e2dyU+7+DBg5GVlYVVq1Zh+vTp+Pe//42xY8di2LBhiMVi+PDDDzFkyBDH527qjkgkgqFDh2Lt2rWYMWMG/vOf/8Dn82Hs2LEAgK1bt6KxsTH52IkS358tW7bg3nvvxYUXXohvf/vbqKiowJtvvon3338fK1euhN/vx5AhQ/D00087ellYuqE2IBW1ARY6/x88Ov9bqA1Ib9QGpKI2wEJtwMGjNsBCbQAhvYMGO20YNGgQfvazn+E73/kObrjhBgDAN998g88++wyapmHQoEEYN24cBg0ahE8++QTTpk1LudvrRLFYDMOHD8cnn3yCefPmpbxmmiaCwSDq6+tRWlraPwXsY4MHD8aCBQvwt7/9DT6fD2+88Qbmzp0LzjmeffZZvPvuuzjvvPP6u5hpRwiB4cOH4+ijj8YLL7yABQsW4NVXX8W0adNQXFyMzZs3Y/Xq1TjmmGP6u6i9KtHJWb9+PcrLy3HllVciJycHY8eOxYknnggAqK6uxrp167Bhwwbq4PQxagNaozagCZ3/u4fO/02oDUhv1Aa0Rm1AE2oDuofagCbUBhDSO5zdEveQRDLg/Px8nH322RgzZgxGjx6Nzz77DBs2bMCXX36JDz74AIFAAMOGDUvmHHGyIUOGYMqUKXjooYdwyCGH4LjjjkNubi58Ph/27NmDxx9/HFOnTu3vYvapq666Cjk5OXjyySdRU1ODFStW4PXXX0dDQwMuuOACnHnmmf1dxLSTWIJxySWXYO/evfjJT36CWCyG0tJS3HnnnXjvvfdQWFiIK664op9L2rsS9TB16lT85z//wb59+zB27Nhk3i9VVTFgwACce+65OPfcc/uzqK5EbUBr1AakovN/19H5vwm1AemN2oDWqA1IRW1A11Eb0ITaAEJ6B+3G3oktW7Zg9erVuOyyy8A5b/dO7ZYtW7B3715MmDABAwYM6ONS9o+amhpcf/31+M9//oPp06fjsMMOQ1VVFdatW4fRo0fj+uuvx/Tp0/u7mH0qFovhiy++wKeffora2lr4/X6UlZXhhBNO6O+ipY1IJAKPx9Mq10xDQwP++c9/4qOPPsK+ffvQ0NCACRMm4Gc/+xkGDhzYT6Xtez/+8Y8xbtw4XHbZZSl3boUQMAwDmqY5csODdEVtQPuoDUhF5//O0fm/c9QGpBdqA9pHbUAqagM6R21A56gNIKTn0GBnJx577DGsWrUKTz/9NNauXYuHHnoI8+fPx+jRo1FSUoLi4mLk5eX1dzH7XGK6fTAYxKpVq7B69Wps3rwZBQUFOProo3HhhRdi9OjR/V3MPlNXVwefzwdN09pMGO3UHTm74/bbb8cLL7yA0047DbNmzUouV0nUj67rqKmpQVFRETRN6+fS9r7Erqb79u3DI488grfffhtbt25FUVERjjzySJxwwgmYOXMmhgwZ0t9FdSVqA9pGbUATOv/bR+f/1qgNSG/UBrSN2oAm1AbYR21Aa9QGENJ7aLCzAy0bp5dffhl33XUXAoEAAKC0tBSTJk3CEUccgTFjxmDIkCEYMmSIa07ObamtrUV+fr6rdohbvXo1/va3v6GiogKDBg3CxIkTMWvWLBxxxBHJpOUej6e/i5k23n77bbzxxhvYuHEjtm/fDiEEjjjiCEyePBkzZ87EEUccgaysrP4uZp8xDAOqquKPf/wjnnnmGcyfPx+HHXYYtm3bho8//hjffPMNYrEYioqK8N3vfhdXXnllfxfZNagN6Dq3tQF0/u8aOv+3Rm1A+qI2oOuoDaA2oCPUBrRGbQAhvYcGOzthmmar3fPC4TDeffddrF27Fu+//z6qqqqQl5eHvLw83HPPPTjiiCP6qbR95+OPP8auXbsQDAYxZMgQjB07FkOHDnVNBy9xXGzZsgXf+c53MGHCBJxyyinYvXs31q9fj82bN8M0TYwZMwYTJ07ELbfcAq/X29/FThuxWAx1dXX49NNP8atf/QpVVVXIz89HfX09srKycNRRR+H444/HhAkTUF5e7ug74omLqbPPPhsnnXRSMtdXOBxGfX099u7diy1btuCtt97C5MmTcemll/Zzid2F2oC2ubkNoPP/waHzfypqA9IbtQFtozaA2oDuojYgFbUBhPQe2qCoEy07OADg9/sxf/58zJ8/HwCwb98+vPXWW3jllVdcMcX8oYcewpIlS6BpGkzTRH5+PoqKinDYYYehrKwMI0eOxIwZMxx9JzNxXLz66qsoLS3F0qVLUVBQAMBagnHgwAF88cUXeOutt7Bz507q5DQjpYTH40FNTQ0ef/xxnHzyyTjnnHMgpUR1dTXeeOMNPPXUU3jzzTcBABs2bIDf7+/nUvcexhiklPjWt76F/fv3J5/3+/3w+/0YPHgwJk+ejAULFjj6O5WuqA1oze1tAJ3/u4/O/61RG5DeqA1ojdoAagO6i9qA1qgNIKT30GBnF+zcuRMNDQ0wDAM5OTkoKChAXl4ehgwZgu9+97v47ne/299F7DWJfCIbNmzAgw8+iF/+8pc45phjcPzxx+N73/se3nvvPTz77LMYOnQoGGNYtWpVfxe512zcuBEjRoxAQUEBDj/8cOzevTu5XMc0TWiahuHDh2P48OE46aSToOt6P5c4vZimCVVV8cQTT4AxhiuvvBKFhYXJ12fOnImSkhK89dZbuPbaax3dyUl8rzZv3ox33nkHu3fvxjnnnIPS0tJWsTk5OX1fQJKC2gBqA+j8f3Do/J+K2oDMQm0AtQHUBhwcagNSURtASO+iwc5OJE5CL774Iu677z7s2LEDqqpiyJAhmDRpEqZNm4Zx48ahuLgYQ4cOhc/n6+8i94pEtoPVq1dj3Lhx+Pa3v40HHngAY8eOxaJFi7Bo0SLcdttt+Ne//oVLL73UsfVQX1+Pa665BiUlJRg1ahSGDx+O9evXY8+ePcjLy0uZASClhJTSFUt6uiJRR/v370dOTg5yc3MBNH3XVFXFiSeeiDfffDOZF8vp3nvvPXz66aeIRCI4++yzcdxxx6G8vByTJk1CWVlZso5I36M2wEJtAJ3/ewKd/9tGbUD6ojbAQm0AtQE9gdqAtlEbQEjvoMHODiROvABw55134sgjj8Svf/1rCCHw/vvv41//+hdeffVVeL1eZGdn4+9//zsOPfTQfi5170jUwzfffIOpU6cCAP7zn/9g6tSpaGxsRFZWFs4880wEAgHMmTOnP4vaq6LRKObNm4fdu3fj448/xgcffIBAIIDvf//7+P/t3XlclWX+//HX4SDIJjuisiggoqCiuO9bVmqbab+yzUYty0or2+ZbM21OfS2nGaesdMr2mrLMrTG3Sk3NHVdWETcUQWVREDjn/P7gC8SAUylwwznv5z8zwbE++LDrdXfd577O9ddfT8+ePYmLiyMsLAyTyWT358xcjorfk4EDB/LKK6/w73//m+uuu67aYfYWi4Xk5GS8vb2NGrNBVPzMt99+O126dCE5OZldu3Zx+PBh9u7dyxdffEHLli3x9fVl6tSpdru+NFZqQBU1QOt/XdD6X50a0LipAVXUADWgLqgB1akBIvVLm53/RcUCtH37dpo1a8azzz5Ly5YtAejbty+PPfYY+fn5bN26ldWrVxMWFmbkuPXKZDJRVlZGWFgYVqsVKI/R+fPnKz81z9/fny1btpCVlUVISIiR49abwMBAnnnmGQCysrLYs2cPu3btYv/+/WzatImNGzfi6elJWFgYbdu2ZdCgQSQkJBg8deN04403snHjRp599lk2b97MyJEjadWqFSkpKXzyySd4eXnRo0cPo8esFzk5ORw7doz4+Hig/FyeXr160atXL+68805ycnLYt28fu3btIjk5mZ07d+rMJwOoAVXUAK3/dcmR139QA5oKNaCKGqAG1CU1QA0QaQj6NPZL+P777ysX2sLCQmbNmsX/+3//j/j4eEpKSoDyt+LXdnC5PUtPT+fEiRMMHDiQTz/9lBdeeIGXXnqJzp078/7777N69Wq2b99u9Jj1xmKxYLFYcHFx4eeff6Znz544OTlhsVhISUlh165d7Nmzh8zMTJKSkpg2bRqTJ082euxGp+LdEhcuXODzzz9n8eLFZGRkUFZWhoeHBzExMUyZMoUhQ4YYPWq9eOmll0hNTeWDDz7gwIEDHDx4kJiYGIKCgvDz86uxrhw9epTQ0FCDpnVMakDtHLkBWv/rhqOv/6AGNAVqQO3UADXgSqkBaoBIQ9Fm5yWMGzeOY8eOERQURIcOHdi9ezdXX301M2fOrPY6m81GaWkpzs7O1d6Cby9KSkou+clvZ8+e5bXXXuPbb7+lqKiIwMBApk2bZtcHtFcoKCjg2muvZcGCBURHR9eIUmFhIcnJyYSGhhIUFGTQlE3HmTNnOHXqFMXFxRQXF9OxY8fKT7a0R1lZWZw6dYr4+Hgee+wxVqxYQatWrejQoQPx8fFER0cTGhpKYGBg5e+DzWbTI1ENSA0opwbUpPW/bjna+g9qQFOgBpRTA2pSA+qWGqAGiNQXbXbWwmq1smHDBpKTk0lOTubYsWPk5eVx+PBhwsPD6d+/P7169SIhIYHAwECjx61X48ePp2vXrvTv35+YmBj8/PyqvY3+/Pnz7N27F5PJRMuWLQkNDbXbu9xnzpwhMzOTuLg4Vq9ezYsvvsiGDRtwdnbGarVSVlaGyWTC2dmZs2fPcurUKTp27Gj02I1Sbm4uWVlZ5Obm4u3tTZs2bfD19cXZ2TFP1khMTGTdunX88MMPpKSkABAWFkb37t1p164dN954oy6YG5AaUEUNKKf1v+5o/a9JDWhc1IAqakA5NaDuqAE1qQEi9UObnbXIz8+nRYsWQPkdzYyMDNLT00lNTSUpKYnjx4+Tl5dHs2bNaNWqFT169GD69OkGT133zp49y5///GfS0tLIzMykefPmdOrUib59+9KrVy8iIiLw8/MzeswGs3nzZt58803Kyso4ffo03t7e/PGPf6Rjx454eHhUe+0bb7zB/v37eeuttwyatvGxWCyYzWYSExN5/fXX2bJlC05OTvj4+BAREUFcXBwdOnQgLCyMdu3a2fWfrYrfi8LCQiwWS7VD2EtLS9m8eTOrV6/mp59+4sSJE/z444+V54RJ/VMDyqkBVbT+Xxmt/9WpAY2bGlBODaiiBlwZNaA6NUCkYWizsxYzZszA2dmZ6dOn1zgfo7CwkIyMDJKTk0lJSSExMZHw8HBmz55t0LT1q6SkhIKCAo4fP05iYiJbtmwhMTGRnJwcAgIC6NKlC/3796d79+6Ehobi6elp9Mj15uTJkyxbtowDBw6watUqvLy88PX1JTAwkMjISGJjY+nWrRuurq7MmDGD/v3788gjjxg9dqNREfZ7772X7Oxspk+fTlhYGBs3bmTDhg3s37+/8hysqVOnMmXKFIMnrj8Vvxfz588nNzeXp59+muLiYpo1a1bjHRF5eXkO8YmUjYkaUEUNKKf1/8po/a9ODWjc1IAqakA5NeDKqAHVqQEiDUObnbWYO3cun332GVarlTFjxnDjjTcSGxtb61k82dnZWK1WgoODDZi0YVmtVkpLSzl79iwZGRls376dLVu2kJaWRl5eHnfccUflpxTas8LCQsaNG8ftt99OVlYWycnJnDx5kosXL+Lq6kpOTg6enp689957hIeHGz1uozNgwACeffZZrr766hrfS0xMZPny5QwePJgBAwYYMF3Dmj9/Pp9//jn/+te/Kh+Fs9lsWCwWnJ2dOXz4MAEBAXb7Hw+NlRpQOzVA6/+V0vpfnRrQOKkBtVMD1IArpQZUpwaI1C9tdtbCZrOxY8cOFi1axKpVqwgICGDChAncdttt1c6pcQTZ2dmUlZXRunXrWr9/4cIFTp8+zd69ewkLC6NLly4NPGHD+M9DoSsuaiqkp6eTmJhISkoKrq6ujBgxgs6dOxsxaqP34YcfYjKZuPPOOykpKcFms+Hk5ESzZs2MHq3BWK3Wyj9Po0aNYvjw4TU+9GDdunW88MIL/OlPf2LYsGFGjOmw1IAqaoDW/7qk9b+cGtC4qQFV1AA1oC6pAeXUAJGGoc3OX3HgwAEWLlzI6tWr8fHx4bbbbmPUqFGVj7WUlZXZ5YHKBQUFfP311yxduhSbzUZMTAwPPPAAISEhFBYW4urqSllZGW5ubkaP2mByc3PZv38/Bw4cIDs7m4CAAPr370/Xrl2rvU6flldTxb8ny5cvZ+HChVgsFt55551q589UfKIpcMlP/mzqalsvvvvuO/70pz/xr3/9i5CQEA4ePMjcuXPZunUrI0eOZNasWXb7+9EUqAFqAGj9vxJa/6uoAU2PGqAGgBpwJdSAKmqASMPSZudv9NNPP/HRRx+xZcsWOnfuzKRJkxgyZIjRY9Wbd955h0WLFtG2bVtat27NypUrueqqqxg6dCjvvPMOKSkptG/fnhtvvJHx48fb/SK8b98+XnzxRRITEwFwc3OjqKgIgPDwcMaNG8ett96Kl5eXkWM2ei+//DKrV6/m3LlzlJWV0atXL4YOHcqgQYNqnItljz788ENycnKIj48nIiKC4OBgmjdvzmOPPcbFixcJDw/no48+omvXrjzwwAP07dvX6JHl/6gBjtsArf91w9HXf1ADmjI1QA1QA66MGqAGiDQ0bXb+gtVqZefOnZSWluLr60tYWBjnzp3jwoUL+Pr64u/vz9q1a3n11Vc5fPgwERERzJ07l6ioKKNHr3MjRozg+uuv5+GHHwbK30r/v//7v1gsFsLCwoiOjmbXrl0kJiby9NNPc/fdd9vt3cx9+/bx0ksvUVBQwLRp0+jRowc5OTkcPnyYPXv2sG7dOo4cOcLkyZN56KGHHO4Rp98jOzubzMxMMjMzSUpKYt++fWRkZHD+/HlatWpFZGQkL730EgEBAUaPWi/uuOMODh48iJeXF8HBwURERNClSxfS0tL4+OOP6datG/fdd1/lf0DZ679TjZUaUEUNKKf1v+44+voPakBjpwZUUQPKqQF1Rw1QA0QamjY7f2HDhg1MmTKFmJgYioqKyMzMJDQ0lNDQUM6cOUNWVhbh4eG4urqSlJREQUEBGzZsqDxQ2F6cOnWKIUOG8PXXXxMZGYmzszPFxcV0796dp556irvuuouysjJOnTrFzJkz8fLy4rXXXsPHx8fo0evFs88+y+HDh3nxxRdp27Ztje+fPXuWefPm8dlnn/HnP/+Z8ePHN/yQTVBxcTGnTp3i6NGjHDp0iAMHDrB//36++uoru36HQEZGBps3b2bz5s0kJSWRn5+Pj48Pubm5XHvttfTs2ZO2bdvSqlUru1tbGjs1oJwaUEXrf/1w1PUf1IDGTA0opwZUUQPqhxqgBog0BPs7ZOYKFBUV4evry5kzZ7j33nsZNWoUx44d48SJEzRr1oxmzZqRlZVFbm4ugwcPxs/Pzy4XoTVr1tC2bVs6duxY+bWDBw/i5ubG8OHDcXJywsXFhdDQUMaNG8eCBQtwd3c3cOL6tXHjRu69997KRywq7g9U3G3z9fXlySefJDk5mSVLljBmzBiHOcPochQWFuLs7Ezz5s0JDw8nPDycAQMGkJeXR15ent1f5LRr14527doxYcIEAHbv3s2WLVvYvn0769evZ9WqVfj6+tK+fXv+8Y9/GDytY1EDyqkBVbT+1y1HX/9BDWjM1IByakAVNaBuqQFqgEhD0mbnLwwbNozg4GA+//xzXnvtNVatWsXEiRMZNmxYrYuv1Wo1YMr6t3XrVk6ePMn8+fNJSEggISGBn376ibi4uGoHsgOcPn0aZ2dnu41TXl4ezZo1w8PDA7PZDFD5OEHF/9psNpydnRk/fjzz5s3j2LFjtG/f3rCZG6vCwkLefPNNTpw4QVlZGa1atSIuLo7OnTvTrl07vL298fb2NnrMBlFQUIDNZqNFixbEx8cTHx9f+fUdO3awbt06u/zAg8ZODSinBpTT+l93tP5XpwY0TmpAOTWgnBpQd9SA6tQAkYahx9gvISUlha+++op9+/YRHh7OpEmTiIyMNHqsBvHKK6+QmJjImTNnKCoqwt/fn4yMDHr16sXTTz9Nu3btKl87ceJEIiMjefbZZw2cuP6cO3eORx55BC8vL+bOnVv59f88Q8VisbBz506mTp3KTz/9RPPmzY0Yt9EqLCzkiSeeICkpiW7durFixQpatWrF+fPn8fLyIiYmhuDgYKZPn06LFi2MHrfe/fOf/8TZ2Zmbb7658kD7wsJCPD09DZ5MKqgBaoDW/7qh9b8mNaDxUwPUADWgbqgBNakBIg1Dtwx+4Zfxio6OZurUqWzdupVPP/2U66+/nj59+nDbbbfRp08fu16MnnrqKU6ePElqaioHDx4kJSUFFxcX0tLSuOeeewgMDCQuLo4OHTqwY8cO7r//fqNHrhc2mw0fHx+6devG+++/z7Jly7juuuuA6nd0TSYTVquVDRs20KpVK13k/ILFYsFsNrNu3TqSkpL44IMPKCkpYd26dcyePZsdO3bw6aefcuDAAU6cOGHXFzkVf1aOHz/OwoULmTFjRuUFzo8//shbb71FUVEREyZM4Oabb9YdXQOoAeXUAK3/dUHrf3VqQOOnBpRTA9SAuqAGVKcGiDQ8vbPz/xQXFwPlj2MAtGnTBicnJ6B8cdq5cydr1qwhMzOTTp06MX78eFq2bGnYvA2ptLSUo0ePkpKSwsGDB0lLS+PYsWPk5uZy4cIFdu7cafSI9ercuXM8/vjjbNiwgXHjxnH11VfTtm1bvL29K8P8xhtvsHLlSsaNG8fEiRONHbgRqbjQefTRR3FycuK1117jxRdfJDk5mY8//hiAjz76iKVLl/L888/TqVMngyeuPxW/Fx9++CFff/01//znPwkICODnn39mxowZhIaG4ufnR0ZGBu+++y4hISFGj+xQ1IBLc+QGaP2/fFr/q1MDGjc14NLUADXgcqgB1akBIg1Ptwz+z9ChQ7FYLPj4+ODu7s65c+dwdXXF19cXT09PiouLycrK4vjx46xbt45mzZpx3333GT12vbHZbJV3oJo1a0ZERAQRERFcc801FBYWkpmZyZ49e4wes0H4+Pjw+OOPYzabWbRoEd9++y0REREEBweTl5dHTk4OmZmZ3HfffYwdO9bocRuVijOO8vLy6N27NwCpqal07tyZkpISXFxcGDJkCKtXr678Dw17VfFOgJ07dxIeHk5AQAAXL15k/vz5xMbG8ve//50TJ04wc+ZMfvjhB+644w6DJ3YsakB1akA5rf+XT+t/dWpA46YGVKcGlFMDLp8aUJ0aINLwtNlJ+RkZt9xyCy1atODUqVPk5eXRvHlzbDYb586dIycnB09PT2JjY+nQoQMHDx6kb9++Ro9dr0wmU7XzaCouepycnCp/L2JjYw2csGFFR0fz9ttvs3//ftasWcPOnTtJTEzE2dmZ7t2788ADD1Q+3iLlKi6SS0pK6N+/P6WlpQC0atWKffv2Vb4uOzubPXv24OPjY9Ck9a/i3x0o/7O0bNkycnJyWLJkCXv37uXNN9/Ew8ODwMBALl68aNePxzVGakBNakAVrf+/n9b/6tSAxk0NqEkNqKIG/H5qQHVqgIgx9Bj7JVgslspP2IPyx1uKi4tp0aJF5WLlyH550eMILBYLTk5OlWfzADg5OVFYWIiLiwsuLi5YrVaH+f34vS5evMjp06cJCQlh7dq1TJs2jQEDBhAREcGPP/6Im5sb33zzjdFjNoi0tDTuvfdeTpw4gclkYtq0aTz44INA+Seg3nfffXz33XcEBQUZPKljUwP+O0dqgNb/K6P1vzo1oGlQA/47NUAN+K3UgOrUAJGGo83O//DLoAFYrdZqdzf/8xP4REB/Lv7T3r178fX1xc/Pj+bNm9e4AFy9ejWfffYZhw8fJi4ujgceeICYmBiDpq1fSUlJtGzZEl9f38qvnT59msTERLy8vIiPj8fV1ZUTJ04wa9Ys8vPz+eijjwyc2LGpAfJ76c9EdVr/q1MDmhY1QH4v/ZmoTg2oTg0QMY42O0WkThUWFtKjRw/Cw8OJj4+nR48eREdH06pVK7y9vXF1da18nbu7e41HpezN+PHjefDBBxk8eHDl12p7B8COHTv497//zcCBA6u9VkSkqdD6X5MaICKOQg2oSQ0QMY42O0WkTpWVlbF+/Xq2bdvGTz/9RHp6Os7OzkRGRtK9e3cSEhJo3749LVu2xNXVFRcXF6NHrjfHjx9n+PDhLF26lOjo6MqvL1iwgJtvvhk/P7/Kr5WWluLs7Gz3F30iYr+0/lenBoiII1EDqlMDRIylzU4RqVcnT55kx44dlRc/J06cwMvLi9jYWLp06cKgQYPo0aOH0WPWi48++ohPPvmEr776Cg8PD6D8PJ677rqL9evXVzuP59ixY2zevJlx48bpQkdE7IIjr/+gBoiIY1MD1AARI+nT2EWkXgUHBzN69GhGjx5NWVkZhw8fZuPGjWzZsoX58+dz8eJFu73QWbVqFT179sTDw6PykZXvv/+ehIQE/P39q7122bJlrFy5kvHjxxs0rYhI3XLk9R/UABFxbGqAGiBiJG12iki9sFgs7Nq1C19fXyIjIwFwdnYmKiqKqKgoJk6cyPnz57HnN5fv27ePyZMnA1Xn8/zwww+MGTMGs9lc+brS0lI2bNhAz549jRpVRKTOaP0vpwaIiCNSA8qpASLGcvr1l4iI/HZWqxWAbdu28cwzz7B9+3ag/Byfo0eP8v777/P1119z7tw5PDw88PT0NHLcepOSkkJRURHJyckcP34cZ+fye0tHjhyhX79+QNXv1ZkzZzh48CDXXHONYfOKiFwprf9V1AARcTRqQBU1QMR4emeniNSpijuXy5YtIyIiovITBTdu3Mjs2bPJysrCy8uLU6dOcf/99xs8bf05f/48Xbp04d133+Wvf/0r4eHhBAUFYTabCQgIAKj8JMakpCRKS0vt+lEeEbF/Wv+rqAEi4mjUgCpqgIjx9AFFIlKnbDYbJpOJ4cOHc+edd3L33XdjMpkYO3YsQUFBPPTQQyxevJjt27fz+uuv065dO6NHrhclJSXk5uZy+vRp0tPT2bFjB+np6WRkZFBQUEB0dDQDBw5k8ODB/Pvf/2bPnj188cUXRo8tInLZtP5XUQNExNGoAVXUABHj6Z2dIlKnTCYT58+fx9vbm4sXL2IymVi6dCkpKSnMnj2bqKgozGYzK1euxGKxGD1uvXFxcaFVq1a0atWKLl26cPXVV3P69GmysrJITk5mx44dLF++nIULF1JaWsrjjz9u9MgiIldE638VNUBEHI0aUEUNEDGeNjtFpM41b96cAQMG8Pbbb7Nt2zaSk5O54YYbiIqKorS0lMOHD1NcXExUVJTRozYYd3d3wsPDCQ8Pp0+fPtx8881kZ2dz9OhR9u7dy0033WT0iCIiV0zrf+3UABFxBGpA7dQAkYanzU4RuWIVj61A+SHkzs7O3HHHHVitVtLS0rj11lsrI56VlcW3335Lnz59jBy5wVksFsxmM4cPH+bkyZP06dMHT09PIiIi6Nu3Ly4uLkaPKCLyu2n9/23UABGxR2rAb6MGiDQ8bXaKSJ3YsWMHCQkJlZ82GBQUxKOPPkpubi4BAQGVF0Jr164lLy+PSZMmGTlug6s4Hnnu3Lk4OTnRu3fvyt8TXeCISFOm9f/XqQEiYq/UgF+nBog0PG12isgV2717N7fffjs+Pj7ExMQwePBgBg4cSFRUFIGBgZWvs9lsJCQkEBsbS3x8vHEDG8BsNgOwdetW7r///soLHBGRpkzr/2+jBoiIPVIDfhs1QKTh6dPYReSKZWVlsX79eo4cOcKePXtIT08nPz8fX19funXrxrBhwxgwYAABAQFGj2qo7OxsBg8ezDfffEOHDh2MHkdE5Ipp/f/t1AARsTdqwG+nBog0LG12ikidKS0tJScnh6NHj5Kens6BAwfYv38/mZmZXLx4kbZt29KhQwemTJlCTEyM0eM2mIrzjFJSUvjqq6+YMWMGbm5uRo8lIlJntP5fmhogIvZODbg0NUDEGNrsFJEr9svDyX+pqKiInJwcDh06RGpqKklJSWzYsIGXX36ZYcOGGTCpMUpKSigqKsLb29voUURE6pTW/1+nBoiIvVIDfp0aIGIMbXaKSJ2y2WzYbDacnJyAqk9mBMjPz+fEiRNERUVVfs1e2Ww21q5dy+uvv05paSmhoaHExsbStWtXwsPDCQwMxNPTs/IMHxGRpk7rfxU1QEQcjRpQRQ0QMZ42O0WkzlksFsxmM9988w379u3jiSeecJhPGrRarTg5ObFp0yYefvhhOnbsSK9evdizZw+JiYnk5+cTFBREbGwsPXr0cMhPpBQR++XI6z+oASLi2NQANUCksbD/2yoiYpjPP/+c0NDQyoucSz3qYk8q7h8tW7aMnj178tJLL+Hv71/5/f3797NhwwZWrFhBYWGhLnJExC454voPaoCICKgBaoCI8bTZKSJ1ruKRjKSkJP7whz9Uft0RLnIqfvZ27dpx4cIFfHx8sFqtlJWV4eLiQmxsLLGxsUydOhWLxWLwtCIidcuR139QA0TEsakBaoBIY+Fk9AAiYp/S09Px8fGhc+fORo/S4IqLi3Fzc2PVqlUUFRXh5ORUeWe7rKyMkpISysrKdE6PiNglR17/QQ0QEcemBqgBIo2BzuwUkStS8VhKVlYWx48fp3379nh7e1NSUkJaWhoxMTE4OTk5xOMrFT/j999/z4wZM3BxcSE4OJgbbriBAQMGEBMTY/SIIiJ1Rut/dWqAiDgSNaA6NUCkcdFmp4hckYqwP/roo/j6+jJt2jT8/PyqvabisG5HkZKSwurVqzlx4gQHDhzg7NmzAPj6+hIXF0fnzp0ZPnx4tTN8RESaGq3/tVMDRMQRqAG1UwNEGged2Skil63iIufEiRP8+OOPzJ49u8ZFDsCKFSsIDw+nc+fODnFnNzo6mujoaGw2G0eOHCElJYXk5GRSU1NJSkpi8eLFuLu7M2bMGKNHFRG5LFr/L00NEBF7pwZcmhog0jhos1NELpvVasVsNrNx40YCAgLo1q1bjdeUlJSQnJzMpk2b6NKliwFTGsdkMhEeHk54eDhXXXUVFy5cIDMzk3379jF48GCjxxMRuWxa/3+dGiAi9koN+HVqgIixtNkpIpet4rGUgoICnJycKCkpqfxexWMrTk5OnDlzhoKCAqPGbHAZGRmkp6dz+vRpfHx8iIyMJDQ0FHd3dzp27EjHjh2NHlFE5Ipo/b80NUBE7J0acGlqgEjjoM1OEblsFY+jDB48mNdff51FixYxadIk3NzcKi+C0tLS2Lp1K/fcc4+Ro9a7igu7VatW8be//Y2srCysViv+/v54eHgQExNDTEwMrVu3plevXjqnR0SaNK3/1akBIuJI1IDq1ACRxkebnSJyxdq1a8ekSZN49913OXXqFIMHD6ZFixbk5eXx9ttv4+bmxtVXX230mPWq4sJuzpw59O7dmxdeeIGEhAT69u3L6dOn+fbbb/n555+5cOECb7/9ti5yRMQuaP0vpwaIiCNSA8qpASKNjzY7ReSKmc1m7r77bkpKSli8eDFffvklrq6uODk50a5dO2bPnk1AQIDRY9abiru527Zto6CggIcffpjDhw9z4cIFHn/8cXx8fFi+fDnPPfcct956K507dzZ6ZBGROuHo6z+oASLiuNQANUCksdJmp4jUCT8/P5588kmefPJJDhw4QEpKCv7+/iQkJODu7m70eA1i586dxMTEEBAQwLp164iMjKSsrAyAfv36MXz4cPr27Yurq6vBk4qI1B2t/+XUABFxRGpAOTVApHHRZqeI1In09HQAQkJC6NSpE506dTJ4ooZT8eiKm5sbvr6+lJSUcObMGcxmMxaLBQBXV1dycnJYv349/fv3N3JcEZE65cjrP6gBIuLY1AA1QKQx0maniPxuNpsNk8lEcXExK1eu5NVXX8Xd3Z02bdrQqlUrYmJiiIqKom3btrRu3bryEHN7N2rUKFq3bo2zszODBw9m3rx5LFiwgLvvvptvv/2W7du3M3nyZKPHFBG5bFr/L00NEBF7pwZcmhog0riYbDabzeghRKRpsVgsmM1m3nvvPT777DNuv/12tmzZws8//4yHhwc5OTmEhYXRsmVLBg0axJQpU4weuV6UlJTg4uJS6/dKS0v54IMPWLhwIbm5uQDcc889PPnkkw05oohIndL6X0UNEBFHowZUUQNEGjcnowcQkaan4i7t4sWLGTNmDBMnTqSoqIi77rqLjRs38pe//IW8vDxSUlIqH+2wR4888ghLliwBIDc3l/Pnz1d+r1mzZkyePLnyru7ixYuZPn26UaOKiNQJrf9V1AARcTRqQBU1QKRx02PsIvK7OTk5kZ+fT3Z2NgMHDgRgz5493HXXXQCMHTuWzZs3069fP2666SYjR61XoaGhtGnTBoDbb78ds9nMoEGD6NOnDx06dKBly5Z07drV4ClFROqO1v8qaoCIOBo1oIoaINK4abNTRH6XirN6Dh06RLt27WjRogXp6em4u7vj5uZW+bqhQ4fy5ptv2vWFziOPPILZbKasrIxJkyaxc+dO1q5dywcffIC7uzsdO3akX79+9O7dm/DwcPz9/Y0eWUTksmn9r04NEBFHogZUpwaING7a7BSR36Xi8ZWoqCgGDhxIbm4uHTp0wN/fn++//55+/fqRl5fHmjVr8PLyMnja+uXq6lr5/2+66SbGjBlDQUEBWVlZ7Nq1iy1btvDJJ5/w97//nYiICL799lsDpxURuTJa/6tTA0TEkagB1akBIo2bPqBIRH4zq9XK6dOn2bt3L0FBQcTGxmI2mwF4/fXXeeedd2jdujUlJSU4OTkxc+ZMrr/+eoOnrh9Tp07Fw8OD66+/nr59+9Y4oLy0tJSLFy+Sl5dHWloa58+fZ9SoUQZNKyJyZbT+V6cGiIgjUQOqUwNEGj9tdorIb1JQUFB5dxLAy8uL3r1789BDDxEdHQ3Ad999x6ZNm7BarYwYMaLW+NsDq9XK//zP/5CYmEhmZiYWi4W4uDiGDx9O//796dKlS7XX22w2bDab3R/ULiL2Set/dWqAiDgSNaA6NUCkadBmp4j8JgsXLmTBggUMGTKEXr168fPPP7N48WJ69OjB66+/TmBgIAAXL16s9liHvSooKODcuXMcOXKEn3/+mfnz51d+z8XFhW7dunHttdfSv39/QkNDDZxUROTKaP2vSQ0QEUehBtSkBog0ftrsFJHf5LrrrmPYsGHcd999uLu7A7BkyRKeeeYZ/vGPfzBkyJDKg8sdydatW1mwYAFBQUH07NkTm81Gamoqy5cvJzs7G4Do6GiWLl1q8KQiIpdH6/+lqQEiYu/UgEtTA0QaL212isivKiwspGfPnnzxxRd06tSJsrIyTCYTNpuNhIQE3n//fXr06OFQFzplZWU4Ozszfvx44uPjmTFjBh4eHgAUFxeTmZnJrFmzcHNzY8KECQwePNjgiUVEfj+t/7VTA0TEEagBtVMDRBo/HRwhIr9qw4YNODs706ZNG8xmM66urri4uJCTk4PVaiUwMNDhLnKcnZ2x2WwcPXqU9u3b4+HhgcViwWaz0bx5czp06MCYMWMwmUzExMQYPa6IyGXR+l87NUBEHIEaUDs1QKTx02aniPyqI0eOUFpayrXXXsudd97J22+/TXZ2NuvXryciIoLw8HBMJhNWq5WysjKsVqvRIzeIwsJCOnXqxOeff05+fj5ms7nybjdA27Zt2blzJ97e3gZPKiJyebT+X5oaICL2Tg24NDVApHHTY+wi8qsOHjxIUlIShw4dYu/evaSlpXH27FkA/Pz8mDFjBgMGDKBly5YGT9pwKu5if//998ycOZO4uDj+8Ic/0K9fP5o1a8bGjRt59913OXv2LN98843R44qIXBat/7VTA0TEEagBtVMDRBo/bXaKyG9WVlZGbm4uR48e5dChQ6SkpLBv3z7S09MpKioiNDSU6Oho/vznP+Pn52f0uPXOarXi5OTEDz/8wDvvvMPevXsB8Pb2pri4mNDQUKZPn87QoUMNnlRE5Mpo/a9JDRARR6EG1KQGiDRu2uwUkV91qbN4ioqKyMnJ4fDhw6SlpbFv3z4OHDjAkiVLcHFxMWBS45w5c4bdu3eTlZVFfn4+np6eXHPNNQQGBho9mojIZdP6/9uoASJij9SA30YNEGl8tNkpIr+LzWbDarViNpspLCzE3d0dJ6fy43/z8/PJy8sjNDTU4CkbRlFREVD+c3t5eeHu7m7wRCIi9Ufrf3VqgIg4EjWgOjVApHHTZqeI/G4WiwWz2cy0adMYPnw4Y8eONXqkBlPxs+/evZt58+axefNmfHx8iIyMpHv37nTt2pWQkBB8fX3x9fV1uE+nFBH75sjrP6gBIuLY1AA1QKSp0GaniFy2mJgY5s2bx7Bhw4BLP+pij8aMGYPJZGLcuHGUlZWxadMmdu/ezfnz5wkJCaF169Y8/fTTdOzY0ehRRUTqnCOv/6AGiIhjUwPUAJHGztnoAUSkaam4mNm+fTtubm7ExcVVfs9RLnKOHj3K8ePH+eSTT+jUqRMAkyZNwmq1smfPHtavX8+KFStwc3MzeFIRkbqj9b+cGiAijkgNKKcGiDQN2uwUkd/sl2f17N27lz59+jjMJy7+krOzM8OHD8dqtQJw8eJFzGYzzs7OxMfHEx8fz8MPP2zwlCIidUfrfxU1QEQcjRpQRQ0QaRq02Skiv5nJZMJsNgMwYcIERo8ejbOz4ywjvzynJyMjg++//564uDhcXV0rX1NWVobVasXZ2bny0HYRkabO0dd/UANExHGpAWqASFOjMztF5FfZbDYOHTrE4sWLad68OdHR0XTo0IGgoCBcXV0dLuY33XQTubm5nD59mj59+jBixAh69epF+/btjR5NRKROaf2vSQ0QEUehBtSkBog0DdrsFJFLqriDuXr1al555RUKCwvx8PAgOzsbs9lMhw4d6N27N927dycmJoZWrVoZPXK9KykpYf369Rw+fJiUlBTS0tI4d+4cFouFgIAAYmNj6d69OzfccINDnV8kIvZF63/t1AARcQRqQO3UAJGmQ5udInJJFRc6d955J97e3kyZMoWIiAhycnJITEzkp59+IjExkSNHjnDrrbfy3HPPGT1yvcjNzcXV1RVPT89qXy8rK+PIkSOkpKSQlJTEoUOHSE5OJiAggE8++cSgaUVErpzW/ypqgIg4GjWgihog0jRps1NEftXYsWO5//77ueqqq2p8r7CwkEOHDuHt7U14eLgB09W/iRMn4u/vT48ePYiIiKB169YEBATU+JTF8+fPk5qaislkomvXrgZNKyJSdxx9/Qc1QEQclxqgBog0VdrsFJFa2Ww2TCYTRUVFfPzxxxw9epQXXnih8vtWqxWTyWT3j2iUlJTw1FNPsWvXLrKysmjevDnt27ena9euxMXF0a5dO4KDg/Hz86NZs2ZGjysicsW0/ldRA0TE0agBVdQAkaZLm50iUquKx1e+/PJL3n33XUpLS5k6dSr9+vWjTZs2Ro9niOzsbH788UfWrl3L9u3bKSwsxMfHh9jYWOLj4+nQoQNhYWHExMQYPaqIyGXT+l87NUBEHIEaUDs1QKRp0WaniPxX8+bN47vvvuP06dMUFRURERFB27Zt6dixI127diUqKgpfX1+jx6w3Nput8qLvP+9gp6amsmrVKtavX09SUhIXL15k2LBhzJs3z6BpRUTqjqOv/6AGiIjjUgPUAJGmTJudIvKriouLSU1NZceOHSQmJpKZmUl+fj6urq6YTCbmzp1LRESE0WM2CIvFgs1mw9nZucb3Nm3ahNVqZcCAAQZMJiJS97T+V6cGiIgjUQOqUwNEmg5tdorIJVWc2fOfcnNz2bdvH7t27SIpKYl58+bh5ORkwITGevnll5k4cSJBQUGYzWajxxERqTNa/3+dGiAi9koN+HVqgEjjps1OEalVxUWOxWKhuLiYU6dO4eHhgb+/f613Mx2BxWLBZDLh5OTE9u3bmTp1KitXriQgIAAoP7DdUS/4RMR+aP2vnRogIo5ADaidGiDStDjuaiUi/5XJZCI1NZXnn3+e/fv3ExUVRatWrejYsSPt27cnJCSEwMBA/P39jR61wZjNZqxWKwCrVq2iY8eO1c4q0gWOiNgDrf+1UwNExBGoAbVTA0SaFm12ikitzpw5wxNPPIG/vz9z5szhgQce4OzZs6xevRp3d3c6deqEl5cXs2bNsvvDyQFGjhzJE088wdChQwFYvXo1119/vR5bERG7o/W/JjVARByFGlCTGiDS9Oj2g4hUY7FYAFi7di0lJSW8+uqrtGjRAh8fH9asWcOSJUvo1KkT27dv5/jx4w5xkXP06FFyc3Mrz+SxWq08/vjj3HLLLUaPJiJSZ7T+104NEBFHoAbUTg0QaZr0zk4RqdVPP/1Ely5d8PX1ZcWKFcTGxlJUVER0dDR333034eHhPPfcc0aP2SCKi4vp3r07hYWFQPljKtdcc43BU4mI1A+t/9WpASLiSNSA6tQAkaZJ7+wUkWoqHsewWq0EBQUBkJmZSXBwMC4uLgB07tyZxMRE1qxZY9icDaHiDnd6ejoXLlxg6dKlZGdnU1paipOTk87mERG7ovW/OjVARByJGlCdGiDStOmdnSJSg8ViYdSoUaSlpQHQrVs3Fi9eTE5ODi1btmTXrl1kZGQQFxdn8KT1q+Ki75lnnqGwsJAdO3aQkpLC1VdfTUxMDGFhYQQGBuLp6WnwpCIidUPrfxU1QEQcjRpQRQ0QadpMNpvNZvQQItK4HThwgOnTp1NQUIC3tze5ubn06dOHN954w+jRGsyBAwdYu3Ytq1atIjU1FScnJ8LDw+natSuxsbFMmDBBh5SLiN3R+l9ODRARR6QGlFMDRJoebXaKCAAfffQRo0ePxs/Pr9bv79u3jxUrVlBQUEBkZCQjR46kTZs2DTxlw7NarTUeU7l48SKbNm1i7dq1rF69Gl9fX1auXGnQhCIiV0br/6WpASJi79SAS1MDRJoubXaKCPn5+Vx99dUsXLiQmJgYHn74YQYOHEi/fv1qXMxcuHABd3d3gyY1TsUnMQYHBxMcHFzte+fPn8fDw8OgyURELp/W/99GDRARe6QG/DZqgEjTo81OEaGkpISjR48SGRlJVlYWf/jDH8jNzSU/P5+QkBB69+7NkCFD6NWrF97e3kaP26B27NjB888/z9mzZwkODub8+fO88sordOnShVOnTuHv74+zs44/FpGmSev/f6cGiIg9UwP+OzVApOnSZqeIVFNaWsqpU6c4c+YM6enp7Nq1q/IwcpPJROvWrZkwYQJ333230aPWm4pHVrZu3cpTTz1FREQEt912Gxs3bmTp0qUsXbqUoKAg3n33XQYNGkSnTp2MHllE5Ipp/S+nBoiII1IDyqkBIvZBtyFEpJpmzZoREhJCSEgIXbp04aqrruLcuXOcPHmSpKQk1q5dS0lJidFj1quKi5wvvviC6Ohonn/+eVq2bElGRgYhISG0adOGU6dOsXv3bqxWqy5yRMQuaP0vpwaIiCNSA8qpASL2QZudIlKppKSEhQsX0r59e4YOHYrJZMLT0xNPT09CQkJISEhg9OjRdn9eT8WnKWZkZDB48GB8fHwAWL58Of369QPA3d2dgoICmjdvbtSYIiJ1Rut/FTVARByNGlBFDRCxD06//hIRsXcWiwWATZs28cUXX3DixAlMJhNFRUWsXbuWZ555hjfffJPCwkJ8fX1xdXU1eOL6ZTKZKCsro3Pnzmzbtq3y501NTWXAgAEAnD59moMHD9KzZ08jRxURuSJa/2tSA0TEUagBNakBIvZB7+wUESqO7l22bBldunThhhtuAGDlypW8/vrr2Gw2Tp8+zYEDB/jrX//qEBc6zs7ODB06lM8//5w5c+bQunVrmjdvTteuXQH49NNPCQgIoHPnzgZPKiJy+bT+104NEBFHoAbUTg0Qafr0zk4RqfwUwQMHDpCQkICXlxcXLlzg7bffpl+/fmzYsIE33niDw4cPk5qaavC0DWfw4ME888wzLF26lFmzZuHi4sLf/vY3xo4dy8aNG3nwwQeNHlFE5Ipo/b80NUBE7J0acGlqgEjTpnd2iggA58+fJzAwkG3btjF06FCWLVtGTk4Ojz32GAAhISHk5OTg5uZm8KQNo+Jw8ltvvZW2bduyZs0atm3bxs6dO+nWrRvXXHONHl0REbug9b8mNUBEHIUaUJMaINL0abNTRADw8PBg/PjxvPbaazz22GMcOXKEO++8k8DAQEpLS9m3bx8AkZGRBk/aMJycnCgpKcHFxYUBAwZUntGTn5+Pl5cXJpPJ4AlFROqG1v+a1AARcRRqQE1qgEjTp81OEak0dOhQioqK2L17N5MmTWLgwIEAJCcns27dOoYMGWLsgPWs4i5ubm4uGzZsYOfOneTl5REWFkb37t1JSEigRYsWRo8pIlLnHH39BzVARByXGqAGiNgbk63iVGIRcUgVS0Btdygrov/WW2/x448/8vjjj5OQkNDQIzYYi8WC2Wzmueee49tvv8XHxwd/f3/y8/MpKCjAzc2NyMhIYmJiuOmmmwgNDTV6ZBGRy6b1vzo1QEQciRpQnRogYl+02SkiNVRc4AAUFRXh5uZW+SiHI+jWrRt//OMfGT9+PGfOnOHQoUMcPHiQlJQUMjMz2bt3L3Pnzq286y0iYi8cff0HNUBEHJcaoAaI2As9xi7ioMrKysjOzub48eN4enqSn59PWloaNpuN4uJiMjIyKCoqoqysjLS0NHx9ffnkk0+MHrveHT16lOjoaNq2bQuAn58ffn5+9OjRA4ATJ06QkpJCnz59DJxSROTyaf2/NDVAROydGnBpaoCI/dBmp4iDuuWWW7hw4QI2m42srCxKSkpo3rw5ZrMZZ2dn8vLy8PPzo02bNgQFBTFmzBijR653VquV0NBQRo8ezf79+2v9lMXWrVvTunVrA6YTEakbWv9rpwaIiCNQA2qnBojYF212ijigvLw8Dhw4AED79u3505/+RHR0NOfOnaNFixbExcXRv39/pkyZwj333AOU3wW2d05OThQVFXH8+HGWL1/OsWPHGDFiBKGhofj7+9O8eXOjRxQRuSJa/y9NDRARe6cGXJoaIGJftNkp4oC8vb1ZtGgR8+fPZ9euXaSmpnLttdfi4eEBQHp6Onl5eSQkJFSe3ePsbP/LRVFREQ8++CCJiYl4eXnx8ccf8+WXXxIVFUW3bt2Ii4sjJCSErl270qxZM6PHFRH53bT+X5oaICL2Tg24NDVAxL44xsolIjXExcXx0EMP8f777/Phhx/yww8/MGXKFMaNG8f69esrH9OoOKTcnlVczP3www8kJiby3HPPce2115Kbm8vGjRtZs2YNy5Yt4+OPP8bX15fNmzcbPbKIyGXT+l+dGiAijkQNqE4NELFP+jR2EWHz5s3MmTOHQ4cOMX36dFasWEFUVBSzZs3CZDIZPV69s9lsmEwm/vGPf5Cens5rr71W613s9PR0kpOTGTVqlAFTiojUPUdf/0ENEBHHpQaoASL2yjFu14hIraxWK1arlb59+zJ79mxGjx7NnDlz2LNnDwEBAQ5zkVPxc958882YTCbS09OB8jOKSkpKKC0tBSAyMlIXOCJiF7T+V1EDRMTRqAFV1AAR+6R3dopINYsXL2bevHnk5ORw//33c9ttt+Hl5WX0WPXu5MmTjBw5kpKSEq6//nomT55MdHR0tdeUlZU5zLlFIuJ4HHX9BzVAREQNUANE7Ik2O0UEqDqvBsqDP3/+fD799FPuuOMOnnnmGYOnq3/Hjh1j/vz55Obmsn37dvLy8ggLC6Nv374MHTqU7t2706JFC6PHFBGpc46+/oMaICKOSw1QA0TskTY7RaRWFy5c4M033yQ6OpobbrjB6HEaRFFREefOnePkyZOkp6ezc+dOdu3axfHjxykpKWHy5MnMnDnT6DFFROqVI67/oAaIiIAaoAaI2AdtdoqIQ6tYAv/zbCKbzUZ+fj4FBQWcPHmSLVu20LNnT3r37m3EmCIiUg/UABERx6UGiNgvbXaKSK1sNhs2m63ysRZH8svHeSwWCxaLBRcXF4OnEhFpGI68/oMaICKOTQ1QA0TsgTY7RcQhlZWVkZ2dzfHjx/H09CQ/P5+0tDRsNhvFxcVkZGRw/vx5LBYLhw4dwtvbm08//dTosUVEpA6oASIijksNELF/+jgxEXFIt9xyCxcuXMBms5GVlUVJSQnNmzfHbDbj7OxMXl4efn5+tGnThsDAQMaMGWP0yCIiUkfUABERx6UGiNg/vbNTRBxOXl5e5Zk77du35+677yY6Oppz587RokUL4uLi6N+/P1OnTuWee+4Byu8AOzvr/pCISFOnBoiIOC41QMQxOOZBHCLi0Ly9vVm0aBEjR47k3LlzpKamEhkZyaBBg4iPjyczM5O8vDwSEhKwWq0AusAREbETaoCIiONSA0QcgzY7RcQhxcXF8dBDDzFo0CA+/PBDxo4dy6JFiwBYv349rVu3pnXr1g57OLuIiD1TA0REHJcaIGL/9Bi7iDi8zZs3M2fOHA4dOsT06dNZsWIFUVFRzJo1C5PJZPR4IiJSj9QAERHHpQaI2CfdqhARh2W1WrFarfTt25fZs2czevRo5syZw549ewgICNAFjoiIHVMDREQclxogYt/0zk4RkV9YvHgx8+bNIycnh/vvv5/bbrsNLy8vo8cSEZEGoAaIiDguNUDEfmizU0SE8ru7FefynDx5kvnz5/Ppp59yxx138Mwzzxg8nYiI1Cc1QETEcakBIvZHHysmIgLVDiAPDg5m5syZuLm5ER0dbeBUIiLSENQAERHHpQaI2B+9s1NERERERERERETsgj6gSESkFjabDavVavQYIiJiADVARMRxqQEiTZ/e2SkiIiIiIiIiIiJ2Qe/sFBEREREREREREbugzU4RERERERERERGxC9rsFBEREREREREREbugzU4RERERERERERGxC9rsFBEREREREREREbugzU4RERERERERERGxC9rsFBEREREREREREbugzU4RERERERERERGxC9rsFBEREREREREREbvgbPQAIo3B119/zdNPP13512azGX9/f/r3788jjzxCy5YtDZxORETqi9Z/ERHHpQaIiNgnbXaK/MLDDz9MSEgIJSUl7N69m8WLF7Njxw6WL1+Oq6ur0eOJiEg90fovIuK41AAREfuizU6RXxg0aBCdO3cGYPz48fj6+rJgwQLWrl3LqFGjDJ5ORETqi9Z/ERHHpQaIiNgXndkp8l/06NEDgKNHjwJQUlLC3//+d8aOHUtCQgLx8fFMmDCBLVu21Pi1VquVDz74gOuuu47OnTvTp08fJk2axN69e6u9bsmSJYwdO5YuXbrQq1cvHnnkEbKysur/hxMRkUvS+i8i4rjUABGRpk2bnSL/xfHjxwFo0aIFAIWFhXz55Zf06tWLmTNn8uCDD3LmzBkmT57MwYMHq/3a//mf/+Evf/kLwcHBzJw5k3vvvRdXV1cSExMrX/PWW2/x5JNPEh4ezlNPPcVdd93F5s2buf3228nPz2+4H1RERKrR+i8i4rjUABGRJs4mIravvvrKFh0dbdu0aZMtNzfXlpWVZVu5cqWtT58+tri4OFtWVpbNZrPZysrKbBcvXqz2a/Py8mz9+vWzPf3005Vf27x5sy06Otr24osv1vhnWa1Wm81msx07dszWsWNH21tvvVXt+8nJybZOnTrV+LqIiNQ9rf8iIo5LDRARsU86s1PkFyZOnFjtr9u0acOrr75KcHAwUP4JjWazGSh/RCU/Px+r1UpcXBwHDhyo/HWrVq3CZDLx4IMP1vhnmEwmAFavXo3VauXaa6/lzJkzld8PCAggPDycn3/+malTp9b1jygiIrXQ+i8i4rjUABER+6LNTpFf+NOf/kS7du0oKCjgq6++Ytu2bbi4uFR7zeLFi3nvvffIyMigtLS08ushISGV///IkSMEBQXh4+NzyX/W4cOHsdlsjBw5stbvOzvrX08RkYai9V9ExHGpASIi9kUrqcgvdOnSpfKTGEeMGMGECRN47LHHWLlyJR4eHixZsoSnnnqKESNGMGnSJPz9/TGbzbzzzjuVB5j/VlarFZPJxIIFCyrvFP+Su7t7nfxMIiLy67T+i4g4LjVARMS+aLNT5BLMZjOPPvood911F5988gn33nsv3333HaGhobzxxhuVj6IAzJ07t9qvDQsLY+PGjZw7d+6Sd3bDwsKw2WyEhITQrl27+vxRRETkd9D6LyLiuNQAEZGmT5/GLvJf9O7dmy5duvDBBx9w8eLFyruvNput8jWJiYns3r272q8bOXIkNpuNN954o8bfs+LXjhw5ErPZzBtvvFHt71fxmrNnz9bxTyMiIr+V1n8REcelBoiING16Z6fIr5g0aRLTp0/n66+/ZsiQIaxatYpp06YxZMgQjh07xueff05UVBQXLlyo/DV9+vThhhtu4KOPPiIzM5OBAwditVrZsWMHvXv35o477iAsLIwZM2YwZ84cjh8/zogRI/Dw8ODYsWOsWbOGW265hUmTJhn4k4uIODat/yIijksNEBFpurTZKfIrRo4cSVhYGO+99x4rV64kJyeHf/3rX2zcuJGoqCheffVVVq5cydatW6v9updffpkOHTqwaNEiZs+ejZeXF3FxcXTr1q3yNffeey9t27bl/fff58033wQgODiY/v37M2zYsAb9OUVEpDqt/yIijksNEBFpuky2/3zvvIiIiIiIiIiIiEgTpDM7RURERERERERExC5os1NERERERERERETsgjY7RURERERERERExC5os1NERERERERERETsgjY7RURERERERERExC5os1NERERERERERETsgjY7RURERERERERExC5os1NERERERERERETsgjY7RURERERERERExC5os1NERERERERERETsgjY7RURERERERERExC5os1NERERERERERETswv8Hz240i86/wNUAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 3-D graph with continous data using color and facets\n", + "title = \"Education-Level Group Distribution by Age and Race\";\n", + "\n", + "gfg = sns.FacetGrid(df_orig_copy,\n", + " height=4, aspect=1.0,\n", + " col='education_level_group', \n", + " hue='age_group',\n", + " margin_titles=True,\n", + " palette='vlag') #'colorblind')\n", + "gfg.map(plt.scatter, 'race', 'age', alpha=0.7)\n", + "\n", + "# tweak the visual presentation\n", + "gfg.set(xlabel='Race', ylabel='Age')\n", + "gfg.fig.suptitle(title, fontsize=15, fontweight='bold', y=1.05)\n", + "gfg.tick_params(axis='x', rotation=75)\n", + "gfg.add_legend(title='Age Group')\n", + "plot_name = 'eduLevel_dist_age-race_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "080959da-ab73-40ca-a05f-a88f5c6e30c8", + "metadata": {}, + "outputs": [], + "source": [ + "# remove education attribute,\n", + "# which is highly correlated to the education_num feature\n", + "# and because models work with numbers;\n", + "# remove additionally created ones used for plot creations as well before ML task!\n", + "df_orig_copy.drop(columns=['education'], inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "ee9ae46d-cc46-47e2-8e4f-8e92c4eb57c5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 32537 entries, 0 to 32560\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 32537 non-null int64 \n", + " 1 workclass 32537 non-null object \n", + " 2 fnlgt 32537 non-null int64 \n", + " 3 education_num 32537 non-null int64 \n", + " 4 marital_status 32537 non-null object \n", + " 5 occupation 32537 non-null object \n", + " 6 relationship 32537 non-null object \n", + " 7 race 32537 non-null object \n", + " 8 sex 32537 non-null object \n", + " 9 capital_gain 32537 non-null int64 \n", + " 10 capital_loss 32537 non-null int64 \n", + " 11 hours_per_week 32537 non-null int64 \n", + " 12 native_country 32537 non-null object \n", + " 13 salary 32537 non-null object \n", + " 14 education_level_num 32537 non-null int64 \n", + " 15 age_group 32537 non-null category\n", + " 16 education_level_group 32537 non-null category\n", + "dtypes: category(2), int64(7), object(8)\n", + "memory usage: 4.0+ MB\n" + ] + } + ], + "source": [ + "df_orig_copy.info()" + ] + }, + { + "cell_type": "markdown", + "id": "b7003b35-c947-4aa9-be74-d0ec0042ca32", + "metadata": {}, + "source": [ + "**Question:** Which columns are the ones including object (string) values, so, being **categorical features** or datetime ones?" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "c0445945-6e30-4d40-b913-284777f64372", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['workclass', 'marital_status', 'occupation', 'relationship',\n", + " 'race', 'sex', 'native_country', 'salary'], dtype=object)" + ] + }, + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy_obj = df_orig_copy.select_dtypes(include=['object'])\n", + "df_orig_copy_obj.columns.values" + ] + }, + { + "cell_type": "markdown", + "id": "7fe52cc4-d8dd-4eb4-8dae-37cf9078ec74", + "metadata": {}, + "source": [ + "**Note:** We have to take care of this columns during preprocessing, this object (string) datatypes cannot be used for our prediction tasks. Only numbers are allowed. So, at least one-hot-encoding is necessary and scaling is expected. We do that at the end of this notebook.\n", + "\n", + "**Next question:** Are there features including only one single value? If yes, they don't have an added value for the dataset and can be removed." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "d013b0e1-2180-46ac-a61e-d7f323f9a434", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[30m2023-09-02 17:16:14,192 - MainThread - root - INFO - Empty list_single_card: No features with cardinality 1 - 11\u001b[0m\n" + ] + } + ], + "source": [ + "# get number of unique values for each column\n", + "counts = df_orig_copy.nunique()\n", + "list_single_card = [col for col,val in enumerate(counts) if val == 1]\n", + "\n", + "if list_single_card:\n", + " logging.info('Remove list_single_card features with cardinality 1')\n", + " logging.info(f'idx values are: {list_single_card}')\n", + " # use the found index values for dataframe columns drop\n", + " df_orig_copy.drop(df_orig_copy.columns[list_single_card], axis=1, inplace=True)\n", + "else:\n", + " logging.info('Empty list_single_card: No features with cardinality 1')" + ] + }, + { + "cell_type": "markdown", + "id": "71a8ab9f-41b7-4745-9c1c-3485d073e885", + "metadata": {}, + "source": [ + "As we can see with this empty list, there is no feature column having only one single value.\n", + "Great, because no missing values per feature attribute are available as well.\n", + "\n", + "**Next question:** How do some of the numerical features look like, what are their values?" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "e8bb9da1-4721-4e03-821e-88984e01c29d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([39, 50, 38, 53, 28, 37, 49, 52, 31, 42, 30, 23, 32, 40, 34, 25, 43,\n", + " 54, 35, 59, 56, 19, 20, 45, 22, 48, 21, 24, 57, 44, 41, 29, 18, 47,\n", + " 46, 36, 79, 27, 67, 33, 76, 17, 55, 61, 70, 64, 71, 68, 66, 51, 58,\n", + " 26, 60, 90, 75, 65, 77, 62, 63, 80, 72, 74, 69, 73, 81, 78, 88, 82,\n", + " 83, 84, 85, 86, 87])" + ] + }, + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['age'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "d45ae27a-03ed-4ec5-bab9-755dbf344573", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([40, 13, 16, 45, 50, 80, 30, 35, 60, 20, 52, 44, 15, 25, 38, 43, 55,\n", + " 48, 58, 32, 70, 2, 22, 56, 41, 28, 36, 24, 46, 42, 12, 65, 1, 10,\n", + " 34, 75, 98, 33, 54, 8, 6, 64, 19, 18, 72, 5, 9, 47, 37, 21, 26,\n", + " 14, 4, 59, 7, 99, 53, 39, 62, 57, 78, 90, 66, 11, 49, 84, 3, 17,\n", + " 68, 27, 85, 31, 51, 77, 63, 23, 87, 88, 73, 89, 97, 94, 29, 96, 67,\n", + " 82, 86, 91, 81, 76, 92, 61, 74, 95])" + ] + }, + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['hours_per_week'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "12d79153-e0f4-4519-94fc-3ccccac39bed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 2174, 0, 14084, 5178, 5013, 2407, 14344, 15024, 7688,\n", + " 34095, 4064, 4386, 7298, 1409, 3674, 1055, 3464, 2050,\n", + " 2176, 594, 20051, 6849, 4101, 1111, 8614, 3411, 2597,\n", + " 25236, 4650, 9386, 2463, 3103, 10605, 2964, 3325, 2580,\n", + " 3471, 4865, 99999, 6514, 1471, 2329, 2105, 2885, 25124,\n", + " 10520, 2202, 2961, 27828, 6767, 2228, 1506, 13550, 2635,\n", + " 5556, 4787, 3781, 3137, 3818, 3942, 914, 401, 2829,\n", + " 2977, 4934, 2062, 2354, 5455, 15020, 1424, 3273, 22040,\n", + " 4416, 3908, 10566, 991, 4931, 1086, 7430, 6497, 114,\n", + " 7896, 2346, 3418, 3432, 2907, 1151, 2414, 2290, 15831,\n", + " 41310, 4508, 2538, 3456, 6418, 1848, 3887, 5721, 9562,\n", + " 1455, 2036, 1831, 11678, 2936, 2993, 7443, 6360, 1797,\n", + " 1173, 4687, 6723, 2009, 6097, 2653, 1639, 18481, 7978,\n", + " 2387, 5060])" + ] + }, + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['capital_gain'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "25c97019-31f6-42cb-b431-6bf1f8923375", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "capital_gain\n", + "0 29825\n", + "114 6\n", + "401 2\n", + "594 34\n", + "914 8\n", + " ... \n", + "25236 11\n", + "27828 34\n", + "34095 5\n", + "41310 2\n", + "99999 159\n", + "Name: capital_gain, Length: 119, dtype: int64" + ] + }, + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.groupby('capital_gain')['capital_gain'].count()" + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "ef06bd95-6acf-41d0-adc0-458d0e37826f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "fnlgt\n", + "12285 1\n", + "13769 1\n", + "14878 1\n", + "18827 1\n", + "19214 1\n", + " ..\n", + "1226583 1\n", + "1268339 1\n", + "1366120 1\n", + "1455435 1\n", + "1484705 1\n", + "Name: fnlgt, Length: 21648, dtype: int64" + ] + }, + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.groupby('fnlgt')['fnlgt'].count()" + ] + }, + { + "cell_type": "markdown", + "id": "e17107f3-153d-4bde-a703-3ea81ff1d961", + "metadata": {}, + "source": [ + "#### 2.3 Classification Target for Prediction/Inference" + ] + }, + { + "cell_type": "markdown", + "id": "30bb6694-18a1-4d79-967b-74a7724818ad", + "metadata": {}, + "source": [ + "**Next topic:** We can take care on our **classification target feature**. Because we are analysing census data, the _salary_ feature has the primary focus. By now, it is a categorical feature, so we have to change it to a numerical one used for the classification prediction. What are the salary values?" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "35505b64-713d-45c7-9137-7b09db0efca2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([' <=50K', ' >50K'], dtype=object)" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['salary'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "715a0e17-fd6a-43f7-ab30-6e03f1e31327", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "salary\n", + " <=50K 24698\n", + " >50K 7839\n", + "Name: salary, dtype: int64" + ] + }, + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.groupby('salary')['salary'].count()" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "fabda925-3a50-4e95-b39f-52dccae69aa3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = \"Salary Group Distribution by Age and Race\";\n", + "\n", + "gfg = sns.FacetGrid(df_orig_copy,\n", + " height=4, aspect=1.0,\n", + " col='salary', \n", + " hue='age_group',\n", + " margin_titles=True,\n", + " palette='vlag') # per default 6 colours\n", + "gfg.map(plt.scatter, 'race', 'age', alpha=0.7);\n", + "\n", + "# tweak the visual presentation\n", + "gfg.set(xlabel='Race', ylabel='Age')\n", + "gfg.fig.suptitle(title, fontsize=15, fontweight='bold', y=1.05)\n", + "gfg.tick_params(axis='x', rotation=75)\n", + "gfg.add_legend(title='Age Group')\n", + "plot_name = 'salary_dist_age-race_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "57332168-36d5-444c-bbc8-28c2f48066f5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 'colorblind'(blue-orange) much better with alpha compared to 'vlag',\n", + "# vlag is too soft, differences with salary size not visible\n", + "\n", + "plt.figure(figsize=(18,10))\n", + "gfg = sns.scatterplot(data=df_orig_copy,\n", + " x='age',\n", + " y='hours_per_week',\n", + " size='salary',\n", + " hue='sex',\n", + " sizes=(80, 20),\n", + " alpha=0.5,\n", + " palette='colorblind') \n", + "\n", + "title = 'Census Peoples Salary by Age, Sex and Hours-Per-Week'\n", + "plt.title(title, fontsize=15, fontweight='bold')\n", + "gfg.set(xlabel='Age', ylabel='Hours-Per-Week')\n", + "plot_name = 'salary_dist_hoursPerWeek-age-sex_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "18090a33-c7b8-4afe-b160-5bf50788ddce", + "metadata": {}, + "source": [ + "**Note:** Regarding this US census dataset no surprise, most people with a salary >50k are white with a much higher age range compared to all other race groups. The age group distribution from young adults to older people look nearly the same by having a salary <=50k. There only the senior distribution is different. There is a clear area in the middle of the overall scatterplot most of the >50K salary points are located (male round about between 29 - 61 years old, working between 35 - 65 hours-per-week). Women mostly working less than 40 hours-per-week in a paid job.\n", + "\n", + "Now, we convert the salary strings to its **binary mapping values** _>50K: 1, <=50K: 0_." + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "b7ca77a3-e36b-4e62-9f0c-c6012fdf3c49", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy['salary'] = df_orig_copy['salary'].map({' >50K': 1, ' <=50K': 0})" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "97c84e20-5185-4632-b465-91d7ccfbf6a4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 32537 entries, 0 to 32560\n", + "Data columns (total 17 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 32537 non-null int64 \n", + " 1 workclass 32537 non-null object \n", + " 2 fnlgt 32537 non-null int64 \n", + " 3 education_num 32537 non-null int64 \n", + " 4 marital_status 32537 non-null object \n", + " 5 occupation 32537 non-null object \n", + " 6 relationship 32537 non-null object \n", + " 7 race 32537 non-null object \n", + " 8 sex 32537 non-null object \n", + " 9 capital_gain 32537 non-null int64 \n", + " 10 capital_loss 32537 non-null int64 \n", + " 11 hours_per_week 32537 non-null int64 \n", + " 12 native_country 32537 non-null object \n", + " 13 salary 32537 non-null int64 \n", + " 14 education_level_num 32537 non-null int64 \n", + " 15 age_group 32537 non-null category\n", + " 16 education_level_group 32537 non-null category\n", + "dtypes: category(2), int64(8), object(7)\n", + "memory usage: 4.0+ MB\n" + ] + } + ], + "source": [ + "df_orig_copy.info()" + ] + }, + { + "cell_type": "markdown", + "id": "415f5d77-f17c-43b7-8abf-dd7cc1485b51", + "metadata": {}, + "source": [ + "#### 2.4 Visualisations\n", + "Some additional visualisations ...
\n", + "First, we have a look to a **boxplot diagram** of the features to detect _outliers_. \n", + "\n", + "Detecting data **outliers** is important in the data preprocessing step of any analysis. The presence of outliers can often skew results which take into consideration for these data points. There are many \"rules of thumb\" for what constitutes an outlier in a dataset. Here, we will use **Tukey's Method** for identifying outliers: An outlier step is calculated as 1.5 times the interquartile range (IQR). A data point with a feature that is beyond an outlier step outside of the IQR for that feature is considered abnormal.\n", + "\n", + "Afterwards, some scatterplots are created." + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "a0f98472-8299-4e10-a954-97c4cc8556a1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_orig_copy.boxplot(figsize=(14,4))\n", + "plt.title(\"General Numerical Features: Boxplot - Outlier Distribution\", fontsize=12, fontweight='bold');" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "6244913f-0d1d-4ec0-ada3-30bbc9854cb2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# change the visualisation to log y axis scaling\n", + "ax = df_orig_copy.boxplot(figsize=(15, 10))\n", + "ax.set_yscale('symlog') # symlog also allows zero\n", + "#ax.yaxis.set_major_formatter(ScalarFormatter())\n", + "ax.yaxis.set_major_formatter(lambda x, p: f'{int(x):,}')\n", + "ax.yaxis.set_minor_locator(NullLocator()) # remove minor ticks\n", + "title = \"General Numerical Features: Outlier Distribution\"\n", + "plt.title(title, fontsize=13, fontweight='bold');" + ] + }, + { + "cell_type": "markdown", + "id": "913eddd3-99f8-4aae-9ff6-6e380dc7ba9d", + "metadata": {}, + "source": [ + "**Note:** The _log scaling_ visualises the value range of the features much better. Small numbers are not squeezed too closely." + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "15dcb470-453d-4eaa-adf3-9bc5e04354ec", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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sexvariablevalue
0Maleage39
1Maleage50
2Maleage38
3Maleage53
4Femaleage28
\n", + "
" + ], + "text/plain": [ + " sex variable value\n", + "0 Male age 39\n", + "1 Male age 50\n", + "2 Male age 38\n", + "3 Male age 53\n", + "4 Female age 28" + ] + }, + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "num_cat_feats = ['age', 'fnlgt', 'education_num', 'capital_gain', 'capital_loss', 'hours_per_week', 'sex', 'salary']\n", + "df_orig_copy_long = df_orig_copy[num_cat_feats].melt(id_vars=['sex'])\n", + "df_orig_copy_long.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "69d2016a-a656-4223-916c-c5e82b48e7f6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 3-D mix data using boxplots graphs,\n", + "# use hue for categorical sex as third dimension\n", + "\n", + "f, ax = plt.subplots(figsize=(15, 10))\n", + "ax.set_yscale('symlog') # symlog also allows zero\n", + "#ax.yaxis.set_major_formatter(ScalarFormatter())\n", + "ax.yaxis.set_major_formatter(lambda x, p: f'{int(x):,}')\n", + "ax.yaxis.set_minor_locator(NullLocator()) # remove minor ticks\n", + "gfg = sns.boxplot(x=\"variable\", y=\"value\", hue=\"sex\",\n", + " data=df_orig_copy_long,\n", + " palette=\"vlag\", ax=ax) # 'colorblind' looks ugly\n", + "gfg.set(ylabel='Value Range (log scale)', xlabel='')\n", + "title = \"General Numerical Features: Outlier Distribution by Sex\"\n", + "plt.title(title, fontsize=13, fontweight='bold')\n", + "plot_name = 'numFeats_outlierDist_sex_boxplot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "007ee335-61df-4d2b-81bb-f2886e91bd45", + "metadata": {}, + "source": [ + "**Note:** The distribution of male and female samples are not too different in most of the attributes, but on average, women work much less compared to man and regarding the most prominent feature _salary_, man earn much often >50K compared to women. Latter is an outlier event for women." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "791b0c50-37c3-4624-be1f-66eaef385e78", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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HSyaTSiQS/t2wrusqkUgomUzmbSyTfVq1apV/l6pnzZo1WrVqVV7GkaSlS5dq48aNgW0bNmzQ0qVL8zKOSSZzz9T4RXGOMBnLZJ4nEglt3749sG3btm2hv7nEfNQzUcy9KM5HJkXx/CiKx64pJudYU7GieOzSp/wRxXkCyJUozhNR7FNUuK6r7du379afbD/hLyxd6VM+9QsAgO6wXFY67KGWLFmiO++8U9u3b1dra6u/3bZtjRgxQnPnzvW/l7SnXNfVZZddprfeekttbW1yHCcrsVzX1VVXXaXnn39elmXJcRw5jpOVPi1ZskS//vWvlUql/DiegQMH6t5771Us1vPP/6RSKZ133nnasmWLbNuWbdt+rIKCAl122WWaPHlyj+NI0uLFi/XrX/9aruvKsqwO+2rRokWybbvHcRzH0ZlnninLsvw4XgzXdfWnP/0plDgmmcw9x3F0xhlnBPZNnz59/HY8/PDDoYyf16fnnnsukN8FBQXq16+fLrnkktByz+T4mZqPvP3k/W6p/TueU6mUUqlUaMeTJLW1tWny5MkqKCjw551UKuXP7UuWLPFzpCdSqZTOPvtsvw/pa0eY854UnCe8OSl9vghzPvKOJ2/8XNf18yLM/ZR+TEkKzOfZyD3btv3xa2lp8WOG2ScvViwW88fO2y6FN36Z85G3Hrquq0996lOhzhEmdTbPenN6aWmpfv3rX4d6fmRi/DLnPi8Hw86JzDkim8euKZ2d83nz3l577RXqHJtKpTRlyhS1tbX54+aNXZjzuakcNymK85HJ8zCTHMfRF77wBf/8q7W1NbC/8vGaA8iVKM99UVqjosJ1Xc2YMUMvvPBCh7/z9lH6+cuwYcN0ww039Or9ldmn9Pf30t9vSZcP/QIAoLu4cx57rAceeEAtLS0dTvIcx1F9fX2o31Xc0NCgZDIpy7ICb4CEHauhoUH19fWyLEuxWMyPlY0+eXejpsfxbNmyRStXrgwlzsqVK7VlyxZJ7SfvXjwvZph3xS5cuNAfu8721ZIlS0KJs2TJkg5xvL5ZlhVaHJNM5t6SJUsCF2/em/fen7DGz+tT5oWiZVlqaWnRAw88EEqc9Fgmxs/UfOTtp/Tc9voX5vEkSffcc48kdYiT+fc9tXLlSqVSqQ6/Xwp33pOC84T3x9tnYc9HXo57MbwcDHs/pR9T6fN5tnIvfV7whN0nL1Zm7oU9fpnzUfpxFfYcYVJn86w3pyeTydDPj0yMX2dzXzZyInOOyOaxa0pn53zevBf2HLty5Uq1trZ2WHelcOdzUzluUhTnI5PnYSZ580T6eUu+X3MAuRLluS9Ka1SU7Kwg7e2jzt6L6+3S+5R+PQgAwJ6I4jz2WFOmTFFhYaH/PZMe27Y1evRolZeXhxarvLxcZWVlgTuashGrvLxco0aN8u/qTL9wDLtP8XhckgJxPAMHDtSYMWNCiTNmzBgNHDhQUvsbZJl36nvtCMP5558v13WVSqU63Vdh3SU9efLkDnG8vrmuG1ock0zm3uTJkzsUlV3X9f+ENX5enzKLsK7rqrCwUFOmTAklTnosE+Nnaj7y9lN6bnt5H+bxJEkXXnihJHWIk/n3PTVmzBj/7tTMtSPMeU8KzhPeH2+fhT0feceTF8PLwbD3U/oxlT6fZyv30ucFT9h98mJl5l7Y45c5H6UfV2HPESZ1Ns96c/rgwYNDPz8yMX6dzX3ZyInMOSKbx64pnZ3zefNe2HPsmDFjVFBQEBg3T5ixTOW4SVGcj0yeh5nkzRPp5y35fs0B5EqU574orVFRYVmWbrjhBj388MP+H+/GFMdxNGDAAA0cOFDTpk3Tww8/nBd3l2f2adq0afrYxz7mr7mJRCLQ33zpFwAA3UVxHnusyZMn6+abb+7wHUaWZamysjLUE0DLsjRz5szAI6SzEcv7fd4jfL1Y2ejT5MmTNWvWrEAcz9VXXx3aY0djsZiuuuoqSe0XIV48x3E0e/bsUN9UOv3001VVVaWWlhbt2LEj0K/vfve7oX2i17ZtTZ8+PRDH69u3v/3tvPzksMncs21bM2bM8F87jqMdO3Zox44dmjFjRmjjt7O2u66rW265JdTcMzl+puYjbz95ue3le2tra6jHkyT16dNHX/3qV9Xa2urngvfI+WnTpoXySHupfT665pprAr/fE+a8JwXnidbW1sB8EfZ85B1P3vh5ORj2fkrPsfT5PFu5542Z90h7Kdy5PD1W+thlY/wyx8gbP9d1Q58jTOps33tr4syZM0M/PzIxfplzX7aOqcw5IpvHrimdnfN5817Yc2wsFtOPf/zjwLh5woxlKsdNiuJ8ZPI8zCTbtnX55ZcHzlvy/ZoDyJUoz31RWqOixLIs9evXz/9TVFQkqX0f3X777VqwYIHOPPNM9evXL2/2VXqfzjzzTN1yyy3+mltUVBTobz71CwCA7qA4jz1aWVmZ4vG4f8JnWZbi8bhKS0vzNpbJPo0cOVLDhg0LbBs+fLhGjBiRl3EkaeLEidp///0D2w444ACdcsopeRnHJJO5Z2r8ojhHmIxlMs/j8bj69esX2Na/f3998YtfDDUO81HPRDH3ojgfmRTF86MoHrummJxjTcWK4rFLn/JHFOcJIFeiOE9EsU8AAAD5gOI89ngVFRUqLi6WJBUXF4f6mPRcxTLZp1mzZvl3F3l3leZzHEm66aabAq9vvPHGvI5jksncMzV+UZwjTMYymec1NTWB19XV1VmJw3zUM1HMvSjORyZF8fwoiseuKSbnWFOxonjs0qf8EcV5AsiVKM4TUewTAABAb0dxHnu8oqIiVVVVqaSkRFVVVf6jovI5lsk+DRo0SBUVFYrFYqqoqNCgQYPyOo4klZSUaPz48ZKk8ePH6/+zd//xUVT3/vhfM5Nsgj+It8EUCKmtelsL9FsK3BSKcm01kYQIQdSNiAIqUCshxt8ihfBDtP4AIVxF0Uv8gWaplFBD0pJbbx9UDI1N1F6w7a2X6zU3wg1QS/yRzSaz8/0jnxlnN5sI2TNnspPX8/HIQ3dW933OmfNrztmZzcjISOg4Msmse7LKz4t9hMxYMut5VlaWdRfkmDFjHPudRPZH8fFi3fNifySTF+dHXmy7ssjsY2XF8mLbZZ4Shxf7CSK3eLGf8GKeiIiIiAY6xYj+wW0iIiIiIiIiIiIiInJde3s7Zs6cCQDYvXt3j590S0RezBMREdGpSnI7AUREREREREREREREJI9hGAgGg6f836empkJRFAdTRERENDhwc56IiIiIiIiIiIiIaJAwDAOlpaV47733Yr6vaRo0TYOu69B1HUD3z8etX7+eG/RERERx4m/OExERERERERERERENIn1tsmuaBlVVoWmaxBQRERENDrxznoiIiIiIiIiIiIhokFAUBevXr+/xWPtgMAi/3w9d1zFixAhceeWVyMnJAcDH2hMREYnCzXkiIiIiIiIiIiIiokFEURQMGTIk5nu6rmPTpk29vk9ERET9x8faExFRwqqvr8fcuXNRX1/vdlKIiIiIKMFxbklERERERERO4+Y8ERElpGAwiPLycrS2tqK8vLzHo9iIiIiIiE4V55ZEREREREQkAzfniYgoIVVWVuLEiRMAgBMnTiAQCLicIiIiIiJKVJxbEhERERERkQzcnCciooTT0tKCQCAAwzAAAIZhIBAIoKWlxeWUEREREVGi4dySiIiIiIiIZOHmPBERJRTDMLB582YAgKZp8Pl80DTNOm4uqhIRERERfRnOLYmIiIiIiEgmbs4TEVFCaW5uRmNjI3Rdh6ZpUFUVmqZB13U0NjaiubnZ7SQSERERUYLg3JKIiIiIiIhk4uY8EREllKysLEyYMAGqqkLXdYTDYWsxdeLEicjKynI7iURERESUIDi3JCIiIiIiIpm4OU9ERAlFURQsWbIEiqJA13WEQiHouh5xnIiIiIjoVHBuSURERERERDJxc56IiBJOZmYm/H6/tViqKAr8fj9GjhzpcsqIiIiIKNFwbklERERERESycHPeI+rr6zF37lzU19e7nRShKioqMG3aNFRUVLidFGFknSuZdcKL9c+LeZJl7dq1yM3Nxdq1ax2NU1RU1GMB1Sky64PMfk9WvkpLS5Gbm4vS0lJH4wDe7GNltSlZcQB59Vxme5IVS+Z58mKd8GJ/JBPn5mTntfpQVFQETdMAAJqmOTq3lM2LYxTbbv9xrYCi8TwRERERRXJ6fsTNeQ8IBoMoLy9Ha2srysvLEQwG3U6SECdPnkRlZSXC4TAqKytx8uRJt5MUN1nnSmad8GL982KeZGltbcW+ffsAAPv27UNra6tjsQ4fPoxwOAwACIfDOHz4sCNxZNYHmf2erHw1Nzfj0KFDAIBDhw6hubnZkTiAN/tYWW1KZtuVVc9ltidZsWSeJy/WCS/2RzJxbk52XqwPx44dQ1dXFwCgq6sLx44dczlFYnhxjGLb7T+uFVA0niciIiKiSDLmR9yc94DKykqcOHECAHDixAkEAgGXUyRGWVlZxMbbqlWrXE5R/GSdK5l1wov1z4t5kuX222+PeO3knYnRn+1ULJn1QWa/JytfS5YsiXhdXFzsSBzAm32srDYls+3Kqucy25OsWDLPkxfrhBf7I5k4Nyc7L9YHmX2ETF4co9h2+49rBRSN54mIiIgokoz5ETfnE1xLSwsCgQAMwwAAGIaBQCCAlpYWl1MWn6amJuvOJtPBgwfR1NTkUoriJ+tcyawTXqx/XsyTLHv37sXx48cjjh07dgx79+4VHmvDhg3WOTIZhoENGzYIjSOzPsjs92TlKxAIoL29PeLY559/7siExot9rKw2JbPtyqrnMtuTrFgyz5MX64QX+yOZODcnOy/WB5l9hExeHKPYdvuPawUUzSvnyTAMtLe3n9Jf9DoCERERkZ2s+RE35xOYYRjYvHmz9VrTNPh8PiiKgs2bNyfshDMcDmPNmjXw+XxITk6Gz+ezfvtv3bp11rf+E4lhGFi9ejWSkpKsvJjHRZ4rWXHsn2nyQv3zYp5k0XUdGzZssMrMbLvJyckoLy/Hnj17hMV67bXX8PrrryMlJQXJyclWzJSUFPzbv/0bQqGQkDjR9QHorhOapmH16tVC64PZ76WkpET0eYD4fs+eL7PsNE0T3k90dXXhueeeizg/5j9feOEF67GxIsg6VzLrhNmmAESUH9D95RRd14XF2bhxo1UP7Odr48aNwuIAkeO7PZamaULreTgcxrp16wAAycnJVl8BiG9PZix7Xsx/X7NmjbBYMvvYPXv2oLy8vEd90DRNaN0DetYJAI6UX1dXF1544QWkpKT06Gefe+45of1RTU0NSkpKoKqRl1lOzMVksbcpILJdcW4++ET3e2b/ACTutZrMPkImex9rP0+A2HNlziXsZWfWD9FzCbONqqoacZ7Ydr9crHksACiKgpKSEtTU1AiNxT524PPK+odhGCgtLcXMmTOtv6uuugrXXHMNrrrqqojjM2fOxB133JEweSMiIiK5ZM5juTmfwJqbm9HY2Ghd7GqaBlVVoSgKGhsbHf0dTSc1NDSgs7MTqqpaf2ZDaGtrQ0NDg8spPH3Nzc1oaWmBoigRjVrXdaHnSlYcM5bX6p8X8yRLTU0NdF23ysz+pygKXnnlFWGxXnjhBSiKAkVRrP7BjKOqKh599FEhcaLrA9BdJxRFQUtLi9D6YPZ79jyZRPd79nyZZadpmvB+Yvv27QAi25H9vJnviyDrXMmsE2abAhBRdkB3ny5qAbWmpiai3kWfL5ELtfbx3R5L0zSh9byhoQFtbW0AENE3AOLbkxnLnhfz3zs7O4XFktnHvvLKK9Y8wl4fzH7CyToBwJHy2759e0S9ju5nRfZHO3fuRCgUstqryYm5mCz2NgVEtivOzQef6H7PXoaJWh9k9hEy2fvY6Lou8lyZc4ne5hMixw1zLhZ9nth2v1yseSzQPc8MhULYuXOn0FjsYwc+L61/RM+77HNzIiIiolMlcx7LzfkElpWVhQkTJlgLzrquIxwOwzAMTJw4EVlZWS6nsH+ys7ORnJyMcDhs/ZkXC0OHDkV2drbLKTx9WVlZyMzMhGEYPTZ1RJ4rWXHMWF6rf17Mkyz5+fnWxo297Zrld9111wmLdeONN8IwDBiGYfUPZpxwOIy7775bSJzo+gB01wnDMDBq1Cih9cHs9+x5Monu9+z5MsvO3PQTWc+vv/56AJHtyH7ezPdFkHWuZNYJs00BiCg7oLtPz8/PFxbHXu+iz5eoOEDk+G6Ppeu60HqenZ2NoUOHAkBE3wCIb09mLHtezH9PTk4WFktmH3vddddZ8wh7fTD7CSfrBABHyu/666+PqNfR/azI/mj27Nnw+Xw97kh1Yi4mi71NAZHtinPzwSe637OXYaLWB5l9hEz2Pja6ros8V+Zcorf5hMhxw5yLRa8TsO1+uVjzWKB7nunz+TB79myhsdjHDnxeWf9QFAXr16/H7t27rb8FCxZYfUQgEIh4b/369T0284mIiIgAufNYbs4nMEVRsGTJkog76UKhEAzDiDieaFRVxU9/+lOEQiF0dnYiFApZDWH58uU9LiYTgaIoWLFiBbq6uiIadfQ5TJQ4sT7TC/XPi3mSRdM0lJaWWmVmtt3Ozk7cfvvtmD59urBYV155JX70ox+ho6MDnZ2dVsyOjg7k5uZaj/6OV6x2Yy42rlixQmh9MPu9jo6OiD4PEN/v2fNllp2u68L7iaSkJNx8880R58f854IFC5CUlCQkDiDvXMmsE2abAhBRfgBw1113CbsLRNM0lJSUWPXAfr7uuOMOoXeb2Md3eyxd14XWc1VVsWzZMgBAZ2en1VcA4tuTGcueF/PfV65cKSyWzD52+vTpKC4u7lEfdF0XWveAnnUCgCPll5SUhBtvvBEdHR09+tlFixYJ7Y/y8/OxcePGHo86c2IuJou9TQGR7Ypz88Enut8z+wcgca/VZPYRMtn7WPt5AsSeK3MuYS87s36InkuYbdQwjIjzxLb75XorI8MwsGnTJqFfomAfmxi8tP6hKAqGDBli/eXn51t9RGpqasR7iZQvIiIikkvmPDbxrpwpQmZmJvx+v1UpFEWB3+/HyJEjXU5ZfMaPH48xY8ZEHBs7dizGjRvnToIEkHWuZNYJL9Y/L+ZJltzcXAwbNizi2LnnnovLLrtMeKzS0tIeg6H5e4kiyawPMvs9Wfny+/0YMmRIxLEzzjgDV199tdA4gDf7WFltSmbblVXPZbYnWbFknicv1gkv9kcycW5Odl6sDzL7CJm8OEax7fYf1wooGs8TERERUSRZ8yNuzntAUVER0tPTAQDp6enw+/0up0iMsrIy69v8qqpi5cqVLqcofrLOlcw64cX658U8yfLEE09EvN6wYYNjsaI/26lYMuuDzH5PVr42b94c8bq8vNyROIA3+1hZbUpm25VVz2W2J1mxZJ4nL9YJL/ZHMnFuTnZerA8y+wiZvDhGse32H9cKKBrPExEREVEkGfMjbs57QGpqKoqLi5GRkYHi4mKkpqa6nSQh0tLSUFRUBFVVUVRUhLS0NLeTFDdZ50pmnfBi/fNinmTJyMjA1KlTAQBTp05FRkaGY7FGjx5t3aEzbNgwjB492pE4MuuDzH5PVr6ysrKsO7bGjBnj6G8XerGPldWmZLZdWfVcZnuSFUvmefJinfBifyQT5+Zk58X6ILOPkMmLYxTbbv9xrYCi8TwRERERRZIxP1KM6B9EJCIiIiIiIiIiIiJKMO3t7Zg5cyYAYPfu3T1+tiQRycyTrFhePE9ERESninfOExEREREREREREREREREROYyb80RERERERERERERERERERA7j5jwREREREREREREREREREZHDuDlPRERERERERERERERERETkMG7OExEREREREREREREREREROYyb8x5RX1+PuXPnor6+3u2kCFVRUYFp06ahoqLC0TilpaXIzc1FaWmpo3EAeXmSFUdmLJl5uuWWW5Cbm4tbbrnF0TgFBQXIzc1FQUGBo3EAYNq0acjNzcW0adMcjSOr7AAgPz8fubm5yM/PdzSOzPPE8kuMWLm5udaf02SdJy/mafbs2cjNzcXs2bMdjQPIy9PatWuRm5uLtWvXOhoH8OYYNWfOHOTm5mLOnDmOxgG8maeZM2ciNzcXM2fOdDSOzLonq5+Q1UcA8uYSMuuerL5P5vWGzP5c1nqBzHmsrHMlM0+yzpPMuifrPMlcE/Pq+hsRERERycPNeQ8IBoMoLy9Ha2srysvLEQwG3U6SECdPnkRlZSXC4TAqKytx8uRJR+I0Nzfj0KFDAIBDhw6hubnZkTiAvDzJiiMzlsw8vf/++/jwww8BAB9++CHef/99R+K88cYbCIVCAIBQKIQ33njDkTgAsHfvXoTDYQBAOBzG3r17HYkjq+wA4N///d/R1dUFAOjq6sK///u/OxJH5nli+SVGrKqqqj5fiyTrPL3yyit9vhZJVp7eeecdfPLJJwCATz75BO+8844jcQB5eWptbcW+ffsAAPv27UNra6sjcQBvjlHvvfcejh8/DgA4fvw43nvvPUfiAN7MU0NDA9rb2wEA7e3taGhocCSOzLonq5+Q1UcA8uYSMuuerL5P5vWGzP5c1nqBzHmsrHMlM0+yzpPMuifrPMlcE/Pq+hsRERERyaUYhmG4nQiKT0VFBV555RUYhgFFUTBnzhzMmzfP7WTFrbS01No0B4CxY8di/fr1wuPMnDnTWmgEgDPOOMOxjRZZeZIVR2YsmXnKz8+3FlABICkpCTU1NcLjxLo71anFe1mxZJUdIC9PMs8Tyy8xYjFPiRHLi3maM2eOtRkGAOeeey62b98uPA7gzfK74oorYL/0URQFv/71r4XHAZinRIgjM5YX5xIy656svk/m9YbM/lzWeoHMeayscyUzT7LOk8y6J+s8yVwT8+r6m9e0t7dbT/nZvXs3hgwZ4nKK4iczT7JiefE8ERERnSreOZ/gWlpaEAgErIURwzAQCATQ0tIi5PMNw0B7e/sp/Yn8nkdTU1PERRwAHDx4EE1NTcJiAEAgEIjYmAeAzz//HIFAQGgcQF6eZMWRGUtmnrZu3RqxAAN03+G0detWoXHuvPPO0zoej0WLFp3W8f6SVXYAsGTJktM63l8yzxPLLzFi3XDDDad1PB6yztO11157WsfjIStPvT2m1YnHt8rK0969eyMW0wHg2LFjjmzweXGM2rBhQ4+5qmEY2LBhg9A4gDfz9MADD5zW8f6SWfdk9ROy+ghA3lxCZt2T1ffJvN6Q2Z87vV5gkjmPlXWuZOZJ1nmSWfdknSdZZed0rNNZe4t3/U3WOp/MPMnixTxRfFgniIiov3jnfAIzDAPLli3DH//4RyiKAl3Xoes6NE3DuHHjsG7dOiiKEtfnl5aW9nhEoaZp0DTNimcaM2YM1q9fH1dMoPvRn9deey0+++wzK44ZNzk5GTt37oSqxv+9kq6uLus3HzVNQ1JSkvXt53A4jN27dyMpKSnuOMAXeWpra7PKz4wlMk+yyg4AampqsGXLFnR2dloxzDoxdOhQ7Nixw5E8meWm6zrOPPNMYXEAoLOzE9OnTwfwRZ2wp6OqqgrJyclxx2lvb8c111wT0VbMfBmGgUWLFmHGjBlxxwGAzz77DNdee23MMjIXE84888y443R2dmLGjBnWObLH6+rqwi9/+UshZQd0f4Hm2muvtcoLgFWWhmFgx44dOOOMM+KO097ejquuugqaplmx7OfsggsuwBNPPBF3HAB45JFH8Lvf/Q4ArDzZ+9g9e/YIK7+HH34Y+/fv73HcMAzouo6dO3c6Xn7hcBivvvqqsG/G//KXv8QzzzzTo+4ZhoFQKCTsW/iffPIJioqKem1PN998M2bNmhV3HKBnPbeXXWdnJ6qqqoScp5MnT+Kaa66Bz+frMX6Hw2G8/PLLSEtLizsO0J2na665xio/e75Ett2Ojg4UFhZafbi9nzAMAzt37kRKSkrccYCeeTLjmbFE5UnXdcyYMSOiPtj/+ctf/hKapsUdB4hsuwB6jFU///nPhbXdqqoqPPfcczHf6+rqwquvvipkjAqFQtZvlycnJ/c4X4sXL8aVV14ZdxygO0/PPvssAPRoU6LzNGvWrIj2ZMYMh8PYtWsXfD5f3HGA7kf4zpgxI6KfsNe/V199FampqXHHMeuefU5ud/HFF+Pee++NOw7wRT9hzl/NsQqA0H4iVl9uz9uUKVNw3333xR0H6H0uZo6FouYSZnsy21J0vhYtWiSsPem6brVde74MwxDa95nXG+3t7VBV1RprAQi9rgHk5Qn4Yr3gnXfeibguTEpKwsiRI7Fly5a4r92ByLoX3Z5EXweEw2HMnj0bnZ2dEesfoq93zTzZ5xJmPdd1XWieZJ0ns+6pqmqVUVdXl1WG1dXVwuqeeZ66urqsMjPzJrJN2csOQMQaiIg1sehYP/7xj/HRRx9Z5WbGjDdWb2tvplhrcP1df4uO1dv6nklUnFixol+LWlMEnLkju6/zZF9TFHGeYjHzpGkasrKyMGvWLOTl5cX9uX3FAnjnfF9ktl0iIvIe3jmfwJqbm9HY2AhFUaCqqnUhpes6Ghsbhfx2eqzJgqZpEfFEa2hosDaxzTjmv3d2dgr7fUv7o9vMBQRVVa1/iny0m5knM5Z5QSw6T7LKDoD1dAF7DLNOtLW1OZYn80/TNKFxAOCpp56y/t2sE+afqqoR78fjzjvvjPjs6LpXUVEhJA4A/OQnP7E+O9bfT37yEyFxnnrqqYhzZI+haZqwsgOApUuX9ig3+9/SpUuFxLnzzjutPMWKdfjwYSFxAGD//v096oO9jxVZfm+++WbMumDGdKr8omOJvAuyoqIiZt0zxzBRsW6++eZe25Potmuv59FxzPdFMB/D2VsskY/pXLp0aZ/9kag8rVq1KqIPj465atUqIXEAeXmqqamx8hL9pyiK0Efs9tV2FUUR3nZ7KztN04SNUY8++qj179H5UlUVL7zwgpA4wBf9kYw82eNE/7s9z/G6//77AcTuJxRFsd6Pl1n3ehvfY32xrL/MfsIc+6JjieonvmzO8uabbwqJA/Q9FzPfF8GsW9HzI/OfIttTTU2NtYFjz5fovs+83rB/vkn09YasPAFfrBfYN9zM+t7S0iJkvQCIrHvR7Un0dUBDQwM6Ozsj5spOXO+aeYpuv2ZckXmSdZ7MumfvH+xrSCLrnnmeYl3XiGxT9rKz10GRa2L2WC0tLRHlBohbfzP76lhEr8HZYzm5vhedp+hYTq8tOqG382SfvzidH03TcPToUcd+jpNOj8y2S0RE3sI75xOY+S3hd999F6qqRnz79Hvf+x4efPDBPicJpxojGAxar4PBIObMmQNN07BgwQLrznMASE1NjTsewDvnRcThnfP9wzvn+493zseHd87Hh3fO9x/vnI8P75yPD++c7z/eOR8f3jnff7xzPj5u3Dn/9ttvIxwOWzGTkpKQmZmJp556Ssj1O++cj4+s8+TlO+fffvtta9PcjCNqTcweq7c750XEirX25vf7AQCLFy/Gr3/9axQUFCAnJwdAfOtv9lh1dXV47bXX8L//+7/QdR2BQCBiTBcVB+heQ9q2bRt0XcfLL7+M3/3ud6iurrbyJWpNEXDujuzoPAFfrJMmJSVh6NCh8Pv9Qs5TNN45PzDJbLtEROQtvHM+gSmKgiVLllgLLubFgXlcxGCvKAqGDBli/aWmpkLXdYRCIeTn50e8J2pyoaoqli1bZsUxL+RCoRBWrlwpbGEkKSkJN998M4DuC9WOjg6EQiF0dHRgwYIFwjbmgS/yZMYKhULo7OwUnidZZQcA+fn5KCsri4hh1sHly5c7liez3HRdFxoH6F6wv+aaawB8USfMv9mzZwtbgBkyZAi+9a1vRXy+Wfe+/e1vC9uYB4AzzzwTmZmZEbHMv1GjRgnZIAC6y+6qq66yzpE9zjXXXCOs7ADgjDPOwNe//nWr3Myy6+jowPnnny9kIwzoPk+jR4+2Pt8e56KLLhK2MQ8A99xzD2bMmBGRJ7M9FRUVCS2/++67D+edd16P+hAKhfCP//iPUspv9OjRQi+8Z8yYgW9961s96l4oFMJ3v/tdYbHOPvtsfOUrX4nZntLT04VtzAM967kZp7OzExdddJGw85SWloZzzjknIob5d/bZZwvbmAe68/SNb3yjR78nuu2mpKRgypQpEXHMWD/4wQ+EbcwDPfNkz5fIPGmahpKSkohx0PznHXfcIfRuDHvbja4X3/72t4W23cLCQowYMSJmmzrvvPOEjVE+n89avIzuJ3JycoRtJALdeRo5cmTMNiU6T5dffnnMep6bmytsYx7oXkT8p3/6p4g8mf/+ve99T8jGPPBF3YvuH8xxV9TGPPBFP2GOt/Z4IvuJWH25+c9vfOMbwjbmgd7nYqFQSOhcwmxPZgx7vi6//HKh7UnTNJSWlkZcB5ixRPZ95vWG+fnmxjwg9roGkJcnIPa6gHnttmLFCmHX7/a6F92eRF8HqKqKn/70pxFzZSeud808Rfd5oVBIeJ5knSez7tn7B7MM77rrLqF1zzxPZpnZnwogsk3Zy86+JiFyTcwea8WKFREb89FpiPfzo9feTPn5+XjmmWcwY8YMIetv9lgzZszApk2brDylpqYKW+eLzlN+fr51jlJTUzFjxoyIfCXChmV0nuzrpB0dHXj22WeFnafe6LqOjRs3OrYxT6dHZtslIiJv4eZ8gsvMzITf77cGd0VR4Pf7MXLkSJdTFp/x48djzJgxEcfGjh2LcePGCY3j9/t7LDKfccYZuPrqq4XGAeTlSVYcmbFk5mnhwoU9vpiRlJSEm266SWicxx9/POZxkY+hNT3zzDMxj2/ZskVoHFllBwCbN2+OeXzTpk1C48g8Tyy/xIj14osvxjz+/PPPC40DyDtPO3bsiHm8srJSaBxAXp6WL18e87j5RTmRZOUpNzcXw4YNizh27rnn4rLLLhMaB/DmGFVaWtpjMUxRFJSUlAiNA3gzTw8++GDM42vWrBEaR2bdk9VPyOojAHlzCZl1T1bfJ/N6Q2Z/Lmu9QOY8Vta5kpknWedJZt2TdZ5krol5df2NiIiIiOTj5rwHFBUVIT09HQCQnp5uPT4n0ZWVlVnfqFZVFStXrnQkTvSCWXl5uSNxAHl5khVHZiyZeYpeLHVi8RQAVqxY0edrke66664+X4siq+wA9PiNW1G/eRtN5nli+SVGrOjfjBb1G9KxyDpPCxYs6PO1SLLy9Mgjj/T5WiRZeYp+YseGDRsciQN4c4yKLi8ny8+LeVq7dm2fr0WRWfdk9ROy+ghA3lxCZt2T1ffJvN6Q2Z/LWi+QOY+Vda5k5knWeZJZ92SdJ5lrYl5dfyMiIiIiubg57wGpqakoLi5GRkYGiouLhT1a0m1paWnWb/sWFRUJfbSuXVZWlvWN7jFjxiArK8uROIC8PMmKIzOWzDxdeOGF+NrXvgYA+NrXvoYLL7zQkTgXX3yx9dhZn8+Hiy++2JE4QPddEvaFkdzcXEfiyCo7APjhD39o3c2SlJSEH/7wh47EkXmeWH6JEauwsLDP1yLJOk/XXXddn69FkpWncePG4eyzzwbQ/ZMETtz9aJKVp4yMDEydOhUAMHXqVGRkZDgSB/DmGDV69GjrjsFhw4Zh9OjRjsQBvJmn7Oxs64lTQ4YMQXZ2tiNxZNY9Wf2ErD4CkDeXkFn3ZPV9Mq83ZPbnstYLZM5jZZ0rmXmSdZ5k1j1Z50nmmphX19+IiIiISC7FMAzD7URQ4mhvb8fMmTMBALt37xb6u6NERERERERERESDmcy1N1mxvJgnmbGYp8TgxTwREZEzeOc8ERERERERERERERERERGRw7g5T0RERERERERERERERERE5DBuzhMRERERERERERERERERETmMm/NEREREREREREREREREREQO4+Y8ERERERERERERERERERGRw7g5T0Tkovr6esydOxf19fVuJyUhsfxoMFi7di1yc3Oxdu1at5OScNhHxEdm+VVUVGDatGmoqKhwPBYRJR72EUSJiXMxIiIiIqKeuDlPROSSYDCI8vJytLa2ory8HMFg0O0kJRSWHw0Gra2t2LdvHwBg3759aG1tdTlFiYN9RHxklt/JkydRWVmJcDiMyspKnDx50rFYRJR42EcQJSbOxYiIiIiIYuPmPBGRSyorK3HixAkAwIkTJxAIBFxOUWJh+dFgcPvtt0e8Li0tdSchCYh9RHxkll9ZWRnC4TAAIBwOY9WqVY7FIqLEwz6CKDFxLkZEREREFBs354mIXNDS0oJAIADDMAAAhmEgEAigpaXF5ZQlBpYfDQZ79+7F8ePHI44dO3YMe/fudSlFiYN9RHxkll9TUxMOHToUcezgwYNoamoSHouIEg/7CKLExLkYEREREVHvuDlPRCSZYRjYvHkzVFWFz+eDpmkRx80FDIrNLCc7TdOgaRpWr17N8iNP2LNnD8rLy6FpGpKTk5GSkoLk5GQAwIYNG6DrusspHLgMw8Dq1auRlJRk9a/mcfaxX87ex2qaZo1TTpRfOBzGmjVrkJKSEjEeAsC6deusO2WJaHCqqalBWVmZNc+z9xPsI4gGLplzCSIiIiKiRMTNeSIiyZqbm9HY2AhFUaCqqrXIqOs6Ghsb0dzc7HIKBzaz/Oybk5qmQVEUtLS0sPzIE1555RUoigJN06CqqtVfAN19RU1NjcspHLiam5vR0tJilZ+JfeypsfexZv3TNM2R8mtoaEBnZ2eP8RAA2tra0NDQICwWESUe8xHY5ua8vZ9gH0E0cMmcSxARERERJSJuzhMRSZaVlYUJEyYgHA4jHA5bm8yapmHixInIyspyOYUDm1l+5kYl0L3pZhgGRo0axfIjT7juuutgGAZ0XUc4HIZhGNYdgpqmIT8/3+UUDlxZWVnIzMy0ys/EPvbU2PtYs/6Zi+uiyy87OxvJyclW/bafr6FDhyI7O1tYLCJKPH6/H0D3PM/eHwHsI4gGMplzCSIiIiKiRMTNeSIiyRRFwZIlS2AYBkKhkLXIaB5XFMXlFA5sscrJXLRdsWIFy488Yfr06SguLoau6+js7ERHRwc6OzsBAHfddVfEHcYUSVEUrFixAl1dXRGbvexjT429nHRdt8YpJ8pPVVX89Kc/RUdHR8R4CADLly+P+BIWEQ0++fn5KCsrs+Z59n6CfQTRwCVzLkFERERElIh4NUtE5ILMzEz4/X5rYUJRFPj9fowcOdLllCUGlh8NBrm5uRg2bFjEsXPPPReXXXaZSylKHOwj4iOz/MaPH48xY8ZEHBs7dizGjRsnPBYRJR72EUSJiXMxIiIiIqLecXOeiMglRUVFSE9PBwCkp6dbj+6kU8Pyo8HgiSeeiHi9YcMGdxIiWH19PebOnYv6+nrHYrCPiI/M8isrK7PugFVVFStXrnQslhfJaE9Esciqe17tI9h2yes4FyMiIiIiio2b80RELklNTUVxcTEyMjJQXFyM1NRUt5OUUFh+NBhkZGRg6tSpAICpU6ciIyPD5RTFLxgMory8HK2trSgvL0cwGHQkDvuI+Mgsv7S0NBQVFUFVVRQVFSEtLc2xWF4jqz0RRZNZ97zYR7Dt0mDAuRgRERERUWxJbieAiGgwmzx5MiZPnux2MhIWy48Gg+XLl7udBKEqKytx4sQJAMCJEycQCAQwb948R2Kxj4iPzPKbP38+5s+fLyWWl8hsT0R2suue1/oItl0aLDgXIyIiIiLqiXfOExEREZEULS0tCAQCMAwDAGAYBgKBAFpaWlxOGVHiYXsit7DuxYflR0RERERENLhxc56IiIiIHGcYBlavXo2kpCRomhZxfPPmzdYmBRF9ObYncotZxwBA0zT4fD5omsa6d4rYdomIiIiIiIib80RERETkuObmZrS0tEBRlIgNCV3X0djYiObmZhdTR5RY2J7ILc3NzWhsbISu69A0DaqqQtM01r1TxLZLRERERERE3JwnIiIiIsdlZWUhMzMThmFA13XruKZpmDhxIrKyslxMHVFiYXsit2RlZWHChAlQVRW6riMcDlsb9ax7X45tl4iIiIiIiLg5T0RERESOUxQFK1asQFdXV8SGhKIoWLJkCRRFcTF1RImF7YncYq9juq4jFApB13XWvVPEtktERERERETcnCfyqPr6esydOxf19fWeikVkV1FRgWnTpqGiosLtpCQklh/JlpmZCb/fb20+KIoCv9+PkSNHOhKPdTw+XpxLeGnOIrs9yeSl8+RFZt2z80rdk8HLbZcSA/tYIiIiokicH5Fs3Jwn8qBgMIjy8nK0traivLwcwWDQE7GI7E6ePInKykqEw2FUVlbi5MmTbicpobD8yC1FRUVIT08HAKSnp/fY4BGFdTw+XpxLeHHOIqs9yeTF8+RFs2bNgqp2LyeoqorCwkJ3E5RgZs2aFbE5z/IjWdjHEhEREUXi/IjcwM15Ig+qrKzEiRMnAAAnTpxAIBDwRCwiu7KyMoTDYQBAOBzGqlWrXE5RYmH5kVtSU1NRXFyMjIwMFBcXIzU11ZE4rOPx8eJcwotzFlntSSYvnicv2rVrFwzDAAAYhoGqqip3E5Rgdu3aFTFGsfxIFvaxRERERJE4PyI3cHOeyGNaWloQCAQiFssCgQBaWloSOhaRXVNTEw4dOhRx7ODBg2hqanIpRYmF5Udumzx5Ml566SVMnjzZkc9nHY+PF+cSXp6zON2eZPLyefISnqf4mOVnx/IjGdh2iYiIiCJxfkRu4eY89VtdXR0WL16M2tpat5NC/49hGNi8ebP1WtM0+Hw+KIqCzZs3W4OM6FhmHE3TrOMiYxHZhcNhrFu3znqtaRpSUlLg8/mwZs0a6y4kii26/JKTk5GSkoLk5GSsW7eO5UcJz17HzfEpOTmZfcQpMgwDq1evRlJSEjRNizju5FzCpGkaNE3D6tWrhcWSFYfiI3MeS/3Ha4D4mOWkqqpVdvbjLD9ySqyxEOj+WYWSkhLU1NS4kCoiIiIi93B+RG7i5jz1W3V1NY4cOcJH8A0gzc3NaGxshK7rALoXzFRVhaIoaGxsRHNzsyOxzDiapkHXdeGxiOwaGhrQ1tZmvdY0DYqiQFVVdHZ2oqGhwcXUDXzR5Wf2Eaqqoq2tjeVHCc9ex83xyfxjH/Hlmpub0dLSAkVRIjbnnRjfo+ctwBd9ektLi7BYsuJQfGTOY6n/eA0QH7P8zLmX2c+y/MhpscZCoHvxORQKYefOnS6ljIiIiMgdnB+Rm7g5T/1WUFCAESNGoLCw0O2k0P+TlZWFCRMmQFW7m7au6wiHwzAMAxMnTkRWVpYjscw45iKd6FhEdtnZ2Rg6dKj1Wtd1GIaBcDiM5ORkZGdnu5i6gS+6/Mw+IhwOY+jQoSw/Snj2Om6OT+Yf+4gvl5WVhczMTBiG0WMz28m5hMns00eNGiUslqw4FB+Z81jqP14DxMcsP3Ncsn8ZheVHToo1FgLdd4z5fD7Mnj3bpZQRERERuYPzI3ITN+ep33JycvD0008jLy/P7aTQ/6MoCpYsWQJFUQB0L2qGQiEYhhFxXHQsM46u6z3SQCSaqqpYtmyZ9VrXdXR0dCAUCmHlypU9JlQUKbr8Ojs70dHRgc7OTixfvpzlRwnPXsfN8amzs5N9xClSFAUrVqxAV1dXxOa8E+N7rM/UdR26rmPFihXCYsmKQ/GROY+l/uM1QHzMcjIMwyo7+3GWHzmltzpmGAY2bdqE/Px8l1JGRERE5A7Oj8hNXJ0k8pjMzEz4/X5rUFEUBX6/HyNHjkzoWER248ePx5gxYyKOjR07FuPGjXMnQQmG5UdexzoeHy/OJThnSQw8T4mB5yk+LD9yC+seERERUSTOj8gt3JwnAlBRUYFp06ahoqLCE7GKioqQmpoKABgyZAj8fr+jsQzDAND9rTInY61duxa5ublYu3atYzFM06ZNQ25uLqZNm+ZonNmzZyM3N1fKY3LmzJmD3NxczJkzxxNxysrKIl6vXLnSsViy6gMA3HLLLcjNzcUtt9ziaByZ5UfkBtl1vKCgALm5uSgoKHA0jqxxo6ioCGeddRYA4Oyzz3Z8LpGeng4ASE9PdyyWrDgmWXVCppkzZyI3NxczZ850LIbs8ySLzOsNGXMxmdcbgLz5ZX19PebOnYv6+npH4xQVFVm/N69pmuPlJytfsuLIjCXzGlRGnuzj+1lnneWZPlYmmf05EREROc+r16A0sHFznga9kydPorKyEuFwGJWVlTh58mTCx+ro6EAwGAQAtLe3o6Ojw5E4APDHP/6xz9eitLa2Yt++fQCAffv2obW11ZE4ALB3716Ew2EA3b/HvXfvXkfivPPOO/jkk08AAJ988gneeecdR+IAwHvvvYfjx48DAI4fP4733nsvoeMAwH//93/3+VoUWfUBAN5//318+OGHAIAPP/wQ77//vmOx3njjjT5fEyW66LHPybHwjTfeQCgUAgCEQiHH2pPMccPO/BKeU1JTU1FcXIyMjAwUFxdbG36JGgeQVydkamhoQHt7O4Du+WVDQ4MjcWSeJ1lkXm/ImovJvN6QladgMIjy8nK0traivLzcyp8Tjh07hq6uLgBAV1cXjh075lgsWfmSWX6yYsm8BpVZftR/MvtzIiIiksOL16A08HFznga9srKyiI23VatWJXyssrKyiLvZnczT8uXL+3wtyu233x7xurS01JE4APDYY4/1+VqUe+65p8/XIkWXl1PlJysOIK/8ZNUHAFi6dGmfr0XauHFjn6+JEp3McWP16tV9vhZF5rhRWVmJTz/9FADw6aefIhAIOBYLACZPnoyXXnoJkydP9kQcWXVCJllzPkDeeZJF5vWGrLmYzOsNWXmqrKzEiRMnAAAnTpxwtN9bsmRJxOvi4mLHYsnKl8zykxVL5lxC5nmSOb57jcz+nIiIiOTx2jUoDXzcnKdBrampCYcOHYo4dvDgQTQ1NSVsLJl5euCBB07reH/t3bvXulvGdOzYMUfuYF60aNFpHe+v3h6L6MTjEjds2NDjrkfDMLBhw4aEjAPIKz9Z9QEAtm7dat1BZerq6sLWrVuFx1qwYMFpHT8dhmGgvb39lP7iuRv3dOLIjOXFPMUTS2ae7GSOG3feeedpHe8vmeNGS0sLAoFAxMZbIBBAS0tL3J89UOu5yKcDOFkn3MqTk3M+r/dHMufmsuZiXsyTk/1etEAgYD2FwvT55587skkqK18yy09WLJlzCS+eJycNhv6ciIiIiLwtye0EELklHA5j3bp10DQNmqZB13UA3b/5t2bNGuzcuROqKub7K+FwGGvWrIHP54uIo+s61q1bhx07dgiJJSsO0P3YvXfeeQcpKSkwDAOKolhpeOuttxAMBoU8AkbXdWzYsAGapiEpKcmK0dnZiQ0bNuCyyy6zfq8xXlVVVThy5Ah8Pp+VHzNvH330ET777DOceeaZccfp6OjA/v37kZKSEhED6P6dwY6ODuu9eIVCIezduxc+nw8AIs5TbW0tbrvtNus90XHMRZDXX38dF154Ia688sq44wDAa6+9ht///vc9yqirqwv79u0TVn6fffYZPvjgAyQnJ/doN0eOHMHtt9+OJ554Iu44ANDZ2Ymf//zn1mt7zF/+8pcYMWKEsN8sfvjhh3H8+PGY9a+1tRWffvqp9TuUp8swDJSWllqPm7W3W/t/Yz7qecyYMVi/fr0Vv79x7G02WldXF3RdFx7LMAwYhgFVVa0yDIfD+OY3vykkjjk2AYj4LCfKL9Z5Ar4ou/7Gio4TK19m2Zn56m+e7OzjhjkGqqoKVVWxadMmoeNGe3s7/vKXv0S0JzNvf/7zn9He3o4hQ4bEHaejowP79u3rca4Mw8CBAwfw2muvCetjDcPA5s2bI46ZZbl69Wps2bKl3+ent3pu1gN7nRDddgH06M/N+QTQ//YUrb29He+9917Mfukvf/lLXHXiy/o+e3vSdR0XXXSRkDwFg0E0NTX1mEsAwLvvvhvXnK+vPtZk9q/xnKu++qPoOZ8ZS0SdsM/Nzc/Xdd2Rubl9Lhadp3/7t38TNuczr6GAnm1Y9DVUdJ7scxaRebL3e/axwzy+bt26uNuRqaurCxUVFdb1mjk+Ad2/Yz179uyYY3J/RPfn9vMlMl9Ojhu9xVJV1TpPTpwrcy5hjhtmv6BpGsrLy9HZ2Ynp06cLyJG8PMk8T06K1Z/bmXMlcyyMZy5hF6vvM+crovtzN9XV1WHPnj0oLCxEXl6e28mhQULTNJSUlGDWrFmsd0RENGgk/syRqJ8aGhrQ1tYGTdOsC2Hz3zs7O4X+jmZDQwM6Ozt7xNE0DW1tbcJiyYoDAPfffz9UVbUW080/84L0/vvvFxKnpqYGuq5bF7/2GLquo6amRkgcoHtBzPz86HwpioKf/OQnQuKsWrUqIj/R5Sfy0XiPPvqoVQ9inadHH33U8TiKouCFF14QEgcAnn/++ZhlZ262iSo/83z3Vh8OHz4sJA4APPXUUxGvo2O++OKLwmK9+eabMc+R+e/xPhXAvujVWz0Xwf45sWJE1wsnYvXWrkTEidWenCq/3s6T6LIzY0XXOZH5AiLHDXMMtMcROW7ceeedfbYnUXfPm/1arHOlqiqef/55IXEAoLm5GY2NjdYXM+xxW1pa0NzcHNfnx6rn5p+9DJ2of6LbbCx33nlnn+033jrRV99nL0NRX0ABuud0feUp3jnfqfSxIs7Vl/VHTtQL+9zc/DPPjei5eay5mL1OiJrzmddQQM82LPoaKjpP0XkTlSd7v2cfO3RdR2NjY9z9nt327dt7HZ80TcP27duFxYruz+3xRObL6XEjVqzovk70uTLnEva6B3yRr1deeUVIHEBenmSeJ6f1NW808yR6LIzV95ntVnR/7qbq6mocOXIEVVVVbieFBhFN03D06FHWOyIiGlR45zwNWtnZ2Rg6dCg+++wzAIi4SE1OTkZ2drbQWMnJyejs7IyIo+s6hg4dKiyWrDgA8NBDD2H27NnWXaMm8/fXHnroISFx8vPz8eSTT0LXdesi3IyhaRry8/OFxAGA+fPn47nnnou4K8f+yL8nn3xSSJyVK1eisLCwRwygO28rV64UEgcA7r77bsycObPHcbMM7777bsfimHcWK4qCG2+8UUgcAJg3bx6eeeaZHsfNOi+q/J588knMmjUL4XA45kL9BRdcICQOANx6662orq62XkfHvOGGG4TF+sEPfoD9+/dbr6OffBGrbE+VoihYv349gsEggO47L1566SXr0a2KouDcc8/Fv/zLvwAAUlNT+7UpGx3n/vvvt74sYban5ORknHHGGbj22muRk5MjPJZZv30+H/7hH/4BH3/8MSZNmoR77rlHSJy6ujpUV1ejs7PTeqSqU+UX6zylpqZi7ty5yMnJ6Xes6DhmrNdeew1Hjhyx/hsAOOuss7Bjx45+58nOPm4AiLgz0TAMoePG448/jmuuucZ6Hd2fP/7440LirFy5EldeeWXEWGjGMwwD8+bNExIHALKysjBhwgS8/fbb1lhhxh01ahSysrL6/dm91fOvf/3r1heHUlNTkZKSIrztAt2Px66vrwfQvVE/ZcoULF26FED/21O0xx9/HFdddZWVBjvDMOKqE331R0B3v5eUlASfz4drr70WV155pZA8PfTQQ5g1a1bM9wzDiGvO92V97AUXXIAPP/wQkyZNiutc9dYfvfjii9axs846C8Fg0Iolok7Y5+b2O+cBCJ+b2+di9jmmonQ/DUDUnM+8hmpra7PyYsYRfQ0VnafoOYuoPNn7PfvYoWkavve978XV70W7/vrrUVlZacWw3zmv6zquv/56YbGi+3P7+Zo4caKwfDk5bvQW691337XiABB+rsy5hDknj87XddddJyQOIC9PMs+Tk2L158FgEH6/H0D3z3Tt2rULAOKeS9jF6vvMPl10f+6mgoIC6855Ill0XcfIkSNZ74iIaFDh5jwNWqqqYtmyZbjvvvt6bGSvXbtW6F0zqqripz/9Ke67776IOACwfPlyYbFkxQG6F0bHjRuHt956q8d73//+94U80h7oXpQoLS3FY489FnGeAOCuu+4S+m34wsJC1NTU4IMPPujx3vnnny/kkfYAkJKSgilTpmDfvn093rv00kuFPdIe6H48bG5uLmpra3u8N336dCGPAj2VOKIetwwAV155Jd59913Hy+/MM8/E17/+9V7rg6hH2gPdGyrXXHON9Wh789G9AFBUVCTskfYAcN9992HBggUxf1syKyur34+0NymKYj2yecaMGcjJybEW1nfv3i3kEd/Rccxz0d7ebsXasWOHY7HscV599VVH4syYMQMzZsyIiOVU+ck6T07HMsUaN8x/3nvvvULHjSFDhuBb3/oW/uM//qPHe9/97neF5S0lJQVTp07Fvn37eoyFl156qdA+VlEULFmyBLfccot1zFy8X7FiRdyL273V89/+9rcAnGu7AFBaWmrFcaLuAd11YvTo0Y7Vib76I5FlZ5eamorx48c7NufrK08PP/ywtP7IifKLNTc3iZ6by5rzRV9D2fsk0ddQsvJk7/fseUpKSsKSJUuEPt0lKSnJ+kIwEPkF8UWLFgl7pD3Qsz838yY6X06PG73FMn/mx35cVCz7XMJO13XcdddduOyyy4TEAeTlSeZ5clp0f26Xn5+P2bNnC4/ZV98nuj93U05ODmbMmOF2MmiQ0XUdGzdudGQeS0RENFB5Y/ZI1E/jx4/HmDFjIo6NHTsW48aNS9hYMvP04IMPxjy+Zs0aoXFyc3MxbNiwiGPnnnuu0EURU293DW/ZskVonOXLl8c8vmzZMqFxgO7NiOjFFkVRUFJSkpBxAHnlJ6s+AMDChQt7LMgmJSXhpptuEh5r27ZtMY+bC8VEiU7muNHbndCiHrdskjluZGZmWnegmfx+P0aOHCk8lhfJqhMyyZrzeZHMubmsuZgX82T2e2YsRVEc6/f8fn+PDYgzzjgDV199tfBYsvIls/xkxZI5l/DiefIimX0fEREREXkbN+dp0Iv+ncxYd7aIUlZWZn2jWlVVoY8vdyMO0H2HTF+vRYm+S3nDhg2OxAHQY7HPic1lQF7ZAT3Ly6nyi16kd3LR/pFHHunztSiy6gOAHnfnRL8WSWa+iNwgc9xYsWJFn69FkdXvAcCsWbMi5hJ8zOTpkVUnZJI5b/EamXPzn/3sZ32+FkVmnmTNY4uKipCeng4ASE9P7/ElJZE2b94c8bq8vNyxWLLyJbP8ZMWSOZfw4nnyIpl9HxERERF5FzfnadCrqamJeB3rsYmipKWloaioCKqqoqioCGlpaQkdB+j+7TXzzo8hQ4Y49ltrGRkZmDp1KgBg6tSpyMjIcCQOABw7dizitfl7z6K99957Ea//9Kc/ORIHAEaPHm3d+TFs2DCMHj3akTivvPJKxGvzNzWdMG7cOJx99tkAgLPPPtuxOxZk1QcAaGhoiHgd6xHCokyfPj3irpnp06c7FovIDTLHjYsvvth6vLLP58PFF1/sSBxZ/R4A7Nq1y/otc8MwUFVV5VgsL5JVJ2SSNefzIplz83feeSfitfk71qLJzJOseWxqaiqKi4uRkZGB4uJiYT/TFUtWVpZ1B+6YMWMc/b1vWfmSWX6yYsmcS3jxPHmRzL6PiIiIiLyLvzlPg1pLSwsCgUDEsUAggMsvvxyZmZmOxJw/fz7mz5/vyGe7EQfo/t1WGXp7pK9IsuqEG3Xv5ZdfduRzTU1NTTh06FDEsYMHD6KpqQnjx493JObOnTsd+VyTzPPkRp349a9/7cjnEg0UMsYNU3V1tZQ4Tvd7wBf9kX1z3un+yItk1QmZZM35vEjG3Fz2XELm9YbT81jT5MmTMXnyZCmxnLwLO5qsfMksP1mxZM4lvHievEhm30dERERE3sQ752nQMgwj4nGCmqbB5/NBURRs3rzZWpCmwcMwDKxevRpJSUnQNC3iuMg64cW6Fw6HsW7dOisvZvlpmoaysrIeT6hIBDLPkxlLVdWI8hNd99xQV1cHn8+HlJQU1NXVuZ2cuNXW1qKkpCSij/Ci2tpaLF682NGnydDAJGssJBoIzDHKC326F+eXRERERERERF7EzXkatJqbm9HY2Ahd1wF0L2CpqgpFUdDY2Ijm5maXU0iyNTc3o6WlBYqiRCzS6routE54se41NDSgra3Nyot9cx5Aj7u4EoHM82TGUhQlovxE1z03VFdXW+XmhbtIq6qqcPToUU9s5PSlqqoKR44c4aPMByFZYyHRQGCOUV7o0704vyQiIiIiIiLyIm7O06CVlZWFCRMmQFW7m4Gu6wiHwzAMAxMnTnT0d/9oYMrKykJmZiYMw7AWNoHuxU2RdcKLdS87OxtDhw618mKWn/lPv9/vZvL6ReZ5MmOFw+GI8hNd99xQUFBglVtBQYHbyYlbYWEhhg8fHtFHeFFhYSFGjBiBwsJCt5NCkskaC4kGAnOM8kKf7sX5JREREREREZEXcXOeBi1FUbBkyRIoigKgewErFArBMIyI4zR4KIqCFStWoKurK2KRNrquiIjjtbqnqiqWLVtm5cW+Ob969Wrk5+e7nMLTJ/M8mbEMw4goP9F1zw05OTkIhULo6OhATk6O28mJW15eHjZu3OiJjZy+5OXl4emnn0ZeXp7bSSHJZI2FRAOBOUZ5oU/34vySiIiIiIiIyIu4OU+DWmZmJvx+v7VYpSgK/H4/Ro4c6XLKyC2y6oQX69748eMxZsyYiGNjx47FuHHj3EmQADLPkxfrBBElJvZHRImJbZeIiIiIiIho4OPmPA16RUVFSE9PBwCkp6cn5OO3SSxZdUJ23auoqMC0adNQUVHhWIyysjLrcaqqqmLlypWOxZJF5nlif0QkVn19PebOnYv6+nq3k5Jw2B/Fz4v1z4t5kkVW2bHtEiUu9rFERERERIMDN+dp0EtNTUVxcTEyMjJQXFyM1NRUt5NELpNVJ2TWvZMnT6KyshLhcBiVlZU4efKkI3HS0tJQVFQEVVVRVFSEtLQ0R+LIJPM8sT8iEicYDKK8vBytra0oLy9HMBh0O0kJhf1RfLxY/7yYJ1lklh3bLlFiYh9LRERERDR4JLmdAKKBYPLkyZg8ebLbyaABRFadkBWnrKwM4XAYABAOh7Fq1SqsX7/ekVjz58/H/PnzHflst8jsI9gfEYlRWVmJEydOAABOnDiBQCCAefPmuZyqxML+qP+8WP+8mCdZZJcd2y5R4mEfS0REREQ0ePDOeSIij2tqasKhQ4cijh08eBBNTU0upYiIyFktLS0IBAIwDAMAYBgGAoEAWlpaXE4ZDQZerH9ezJMsLDsi+jLsJ4iIiIiIBhduzhMReVhNTQ3Kysrg8/mgaVrEe+vWrbPupiciMtXV1WHx4sWora11LIamafD5fKirqxP+2YZhYPPmzVBVNaLvM4+bC99ETvBi/TMMA6tXr0ZSUlLEXCKR8wQAtbW1KCkp6TE/EsmL9YGIxGI/QUREREQ0+HBznojIwwKBAABAVdUei89tbW1oaGhwI1lENIBVV1fjyJEjqKqqciyGpmlQVRXV1dXCP7u5uRmNjY1QFCWi79N1HY2NjWhubhYek8jkxfrX3NyMlpYWKIoSMZdI5DwBQFVVFY4ePero5rwX6wMRicV+goiIiIho8OHmPBGRh/n9fgDdvzOv63rEe0OHDkV2drYbySKiAaygoAAjRoxAYWGhYzF0XUc4HEZBQYHwz87KysKECRMQDocj+j5N0zBx4kRkZWUJj0lk8mL9y8rKQmZmJgzDiJhLJHKeAKCwsBDDhw/vMT8SyYv1gYjEYj9BRERERDT4cHOeiMjD8vPzUVZWhlAo1GPxefny5VBVDgNEFCknJwdPP/008vLyHIuh6zpCoRBycnKEf7aiKFiyZAkMw4jo+8zjiqIIj0lk8mL9UxQFK1asQFdXV8RcIpHzBAB5eXnYuHGjo5vzXqwPRCQW+wkiIiIiosGHuzJERC6qr6/H3LlzUV9f71iM8ePHY8yYMRHHxo4di3HjxjkWU5aKigpMmzYNFRUVbidFGJl5klH/iNyQmZkJv99vLWgrigK/34+RI0c6FpPtiUxu1D+neTFPsrDsEotX+3JZ+fJq+TmN/QQRERER0eDCzXkiIpcEg0GUl5ejtbUV5eXlCAaDjsUqKyuz7pJXVRUrV650LJYsJ0+eRGVlJcLhMCorK3Hy5Em3kxQ3mXmSWf+I3FBUVIT09HQAQHp6uvUzH05ge6JoMuufLF7Mkywsu8Tg1b5cVr68Wn6ysJ8gIiIiIho8uDlPROSSyspKnDhxAgBw4sQJBAIBx2KlpaWhqKgIqqqiqKgIaWlpjsWSpaysDOFwGAAQDoexatUql1MUP5l5kln/iNyQmpqK4uJiZGRkoLi4GKmpqY7FYnuiaDLrnyxezJMsLLvE4NW+XFa+vFp+srCfICIiIiIaPJLcTgAR0WDU0tKCQCAAwzAAAIZhIBAI4PLLL0dmZqYjMefPn4/58+c78tmyNTU14dChQxHHDh48iKamJowfP96lVMVHZp7cqH9Ebpg8eTImT57saAy2J+qNjPonmxfzJAvLbmDzal8uK19eLT/Z2E8QEREREQ0OvHOeiEgywzCwefNmAICmafD5fNA0zTpuLmpRbOFwGOvWrQMAJCcnIyUlBcnJyQCAdevWWXeeJxJ7nsw6kZKSAk3ThOfJXv9MmqZB0zSsXr1aaP2rra1FSUkJkpOT4fP5sGnTJixevBi1tbXCYkQzy6+urs6xGLJ5KU9mnTDrXElJiaP1wWky2xMRiVdXV2fNw2jwMvtyVVUj6kOiz81ljVFeLT8iIiIiIiKncHOeiEiy5uZmNDY2Qtd1aJoGVVWhaRp0XUdjYyOam5vdTuKA1tDQgLa2NgCAqqpQFAWq2j2ctbW1oaGhwc3k9Ys9T2adUBQFmqYJz5O9/pk0TYOiKGhpaRFa/6qqqnD06FGoqgpVVXHgwAEcOXIEVVVVwmJEM8uvurrasRiyeSlPZp0wNweOHj3qaH1wmsz2RETiVVdXW/MwGrzMvtycU5r1IdHn5rLGKK+WHxERERERkVO4OU9EJFlWVhYmTJgAVVWh6zrC4bC1UT9x4kRkZWW5ncQBLTs7G0OHDgXQfce5YRjWneVDhw5Fdna2m8nrF3uezDphGAZ0XReeJ3v9M+m6DsMwMGrUKKH1r7CwEMOHD0c4HEY4HMakSZMwYsQIFBYWCosRzSy/goICx2LI5qU8mXVC13Xouo7hw4c7Wh+cJrM9EZF4BQUF1jyMBi+zLzfnK2Z9SPS5uawxyqvlR0RERERE5BRuzhMRSaYoCpYsWQJFUaDrOkKhEHRdjzhOvVNVFcuWLQMAdHZ2oqOjA52dnQCA5cuXRyxAJgp7nsw60dHRAV3XhecpVj0zN0pXrFghtP7l5eVh48aN6OzsRCgUwtKlS/H0008jLy9PWIxoZvnl5OQ4FkM2L+XJrBNmndu4caOj9cFpMtsTEYmXk5NjzcNo8DL7csMwIupDos/NZY1RXi0/IiIiIiIipyTeDgYRkQdkZmbC7/dbi1WKosDv92PkyJEupywxjB8/HmPGjIk4NnbsWIwbN86dBAkgM0+sf0TisD0RESU+r/blsvLl1fIjIiIiIiJyAjfniYhcUlRUhPT0dABAeno6/H6/yylKLGVlZdYd5aqqYuXKlS6nKH4y88T6RyQO2xMNFvX19Zg7dy7q6+vdTgqRcF7ty2Xly6vlR0REREREJBo354mIXJKamori4mJkZGSguLgYqampbicpoaSlpaGoqAiqqqKoqAhpaWluJyluMvPE+kckDtsTDQbBYBDl5eVobW1FeXk5gsGg20kiEsqrfbmsfHm1/IiIiIiIiERLcjsBRESD2eTJkzF58mS3k5Gw5s+fj/nz57udDKFk5on1j0gctifyusrKSpw4cQIAcOLECQQCAcybN8/lVBGJ5dW+XFa+vFp+REREREREIvHOeSIiIiIiIupVS0sLAoEADMMAABiGgUAggJaWFpdTRkRERERERESUWLg5T0RERJ6iaRpKSkpQW1vrdlKIiBJeTU0NSkpKoKqRl46GYWDz5s3Whj0REREREREREX05bs4TERGRp2iahqNHj6KqqsrtpBARJbydO3ciFApBUZSI47quo7GxEc3NzS6ljIiIiIiIiIgo8XBznoiIiDxF13UMHz4chYWFbieFiCjhzZ49Gz6fD+FwOOK4pmmYOHEisrKyXEoZEREREREREVHiSXI7AUREREQi6bqOjRs3YsiQIW4nhYgo4eXn5+O73/0ubrnllojjiqJgyZIlPe6oJyIiIiIiIiKi3iXsnfO7du1CYWEhvvOd7+D73/8+brnlFgSDQev9119/HTNmzMB3vvMdXHHFFdi5c6eLqSUiIiIiIkpMmZmZ8Pv91ka8oijw+/0YOXKkyykjIiIiIiIiIkosCXnn/FNPPYWtW7fixz/+McaNG4ePP/4Y9fX10HUdAPCHP/wBS5YswdVXX41ly5bhwIEDeOCBB3DmmWdi2rRpLqfeGXPmzMHx48cxbNgwvPzyy24nh/owc+ZMtLe3Y8iQIdi9e7djcXJzc61/37t3r2NxZMZinhIjFvNERAMF2y65yWv1r6ioCHv37sXx48eRnp4Ov9/vdpKIhPPiPFYmL5bfFVdcAcMwoCgKfv3rXzsWB5C3ViArjuxYREREA1F9fT3+5V/+BbfddhsmT57smVhEFJ+Eu3P+8OHD2Lx5MzZs2IBFixYhOzsbV1xxBcrKynDmmWcC6N68///+v/8Pq1evxqRJk3D77bdj+vTp2LRpk8upd8Z7772H48ePAwCOHz+O9957z+UUUW8aGhrQ3t4OAGhvb0dDQ4MjcdatW9fna5FefPHFPl+LsmbNmj5fi/Szn/2sz9ei3HnnnX2+FmnBggV9vhaltLS0z9ciLV68uM/Xotx88819viaigemGG27o8zWRk2SNUTKlpqaiuLgYGRkZKC4uRmpqqttJIhKqrKysz9cibdu2rc/XiUjWdSEg79pwz549MAwDAGAYBvbs2eNIHEDeWoGsOLJjERERDUTBYBDl5eVobW1FeXl5xJOfEzkWEcUv4Tbnf/GLX2DUqFH453/+55jvh0Ih/P73v+9xh3x+fj7+67/+C//7v/8rI5lSydwMo/gsX768z9ei/Pa3v+3ztUiyFmF+97vf9flapN/85jd9vhblP/7jP/p8LVJLS0ufr0U5dOhQn69F+u///u8+X4vS3Nzc52siGpj+7//+r8/XRE6SNUbJNnnyZLz00ku8C4M86c033+zztUivvPJKn68TkczNeVnXhhs3buzztUiy1gpkxZEdi4iIaCCqrKzEiRMnAAAnTpxAIBDwRCwiil/Cbc6/++67+OY3v4knn3wSkydPxtixY1FUVIR3330XAPDhhx+is7MT559/fsT/d8EFFwDovvPeSzZs2GB9k9tkGAY2bNjgUor6xzAMtLe3n/JfdJ6dihVPnGgPPPDAaR3vr95+usGJn3SYPXv2aR3vryuuuOK0jscjLy/vtI73l/0xjKdyPBFiMU+nT1Z/JLOPJRoI2HYHbp4GA5njoVM4bsTHi23Xi3myk9luZ82adVrHT4dbbVfWdSEg79qwtyeNOfEEMllrBbLiyI7lJM6PiIic4/U+tqWlBYFAIOIpPIFAwJEbpmTGIvIiN/qjhPvN+WPHjuHgwYP4z//8T6xcuRJDhgzBli1bcNNNN2Hv3r04efIkAGDo0KER/5/52ny/vzo6OqzftndbKBTC3r174fP5oOs6dF2Hz+eDoih4/fXXcd555wndkK2rq8O2bduQkpICoPt3J88++2xcc801yMnJ6ffnGoaB+++/H3/+858BAJqmISmpZ9U0DAOhUAgA8O1vfxvr1q2DoihxxUpOToaqqgiHw1AUxfq8cDiMzs7OfseJVlNTgz/+8Y9W2dnT09TUhL/97W9CHg169OhRJCUlxUyvYRh48cUXhS2QPP744wiFQj3yBHS3k48++gjnnHNO3HGOHDmC5OTkXvP0X//1XxgxYkTccYDuuypVVe21/v33f/83vvrVr8Yd53/+53+sthrL7Nmzhd1pcscdd8Q8R8AX9e+iiy6KO84HH3xgtadY/H6/sMd1bt++vc88vfvuu/jHf/zHuOP85S9/6TNPV111FV566aV+f769P+qt3zN1dXXhm9/8ppB+r6+6Z/azIvq+uro6PPfccwBgnS/77xOff/75wn5y48tiVVZWCokDADfeeGNE32ePc/PNN8c1HtrdfPPN+OyzzwC4m6czzzzTKtt4bdq0yboL0ck8HTp0qM96vmXLFtx44439/nx7m+orDpA4bdceq69+D+ieI1144YVC5kfXXXeddVETXSd+8IMfYOnSpXF9vqmurg7PP/88urq6Yta9YcOGYfPmzUJifdm4K2qMArrn4oD4Pja67gGx659hGNY1iKg5c295UhRF6J3FS5YssX4WLDpWvOPT6bTdeK85TrU/EtlHfFmeRMfqrU8SOWf56KOP+uz7brvtNjz66KP9/ny7jz/+GJ2dnTH7ic7OTrS0tOAf/uEf+vXZMuue3d///nd0dHQ4fl0IAK+++ip8Pl/M90ReG3766adoaWmJWS9aW1vR2tqKs846K+44QPcjaJuammKW37vvvitsraCvOCLXJMxY77zzjpRYdXV12LFjhxXr1ltvRVdXFwA4ulZlGAYURXFkLAQQ8ShipzelgsGg1V9cd911WLBggbBrGlNdXR2qq6uhaRp0XXcsT3V1ddizZ0/EF6v27NmDvXv3Yvr06ULzFSuWk+eqpqbGOk979uxBfn6+I3GAL+qfpmlYunQpCgoKhNcJM46madA0zfE8ySKz7Sa6WNccJrNemP0r0P+9ALcYhoFNmzZF1AEzX6tWrcKGDRuE5cUwDKxatcoao8wyC4fD2LRpE1asWJEw5Ubkhlhzvug+yO7L+qMzzjjjlOIm3Oa8YRj4/PPPsXHjRmtD6bvf/S5+9KMf4aWXXsLFF1/saPyDBw86+vmn4+WXX4amadbFoq7rERvM27dvx3nnnScs3q5du6xNbKD7XLS1tWHXrl0YNWpUvz/X/FaKSdO0Lx0wPv/8c/zpT3/q12KPPZaqqlAUxSpD8/PM1/2NE2379u0xP8M8du+99+LHP/5xXDEA4P7770dKSkqvsQKBAEaPHh13HKD79+P6KpeFCxdi9erVccfpK09A98X3Qw89FHecU4m1ePFiIbG+LE4oFMKf/vSnuOMA3d+c7Os83XfffVLyZLYlEXbv3t3nxtHdd98tJU+dnZ1x5cneH31Zv6dpmrB+zz5O9EZE37dr166ImNEOHz4srE58WSxRcQBYXxKLFSfe8dDO3JjvLZasPH322WfCYh04cMD6dyfz9MADD/TZdqurq/FP//RP/f58e5v6svaUKG3XHsucG/VGVVVh8yP7QkX0Zx04cEDYIuCuXbushfpYaT5+/Li0cVfUGGUnuo+NrntmjOg45mtd14XViejPtqdJZL9nbszHihXv+HQ6bTfea47T6Y9ExZEd68v6JBF178vmfB9++KGw+vfTn/60z3nfwoUL+/376TLrnt2KFSv6PE+irgsBYMeOHX1eB4i6NjQ/I1a+VFXFT37yE9x///1xxwG6vzTYV50QtVbQVxxN04TFMWP1VidEx9q1axc++eQTK9bf/va3iPecXKuytzHRY6E5Pwe6vzTe25dSRAiFQlZewuGw0Gsa065du/C3v/3NWuh2Kk9mnNdee8069tprr+Hjjz8Wnq9YsZw8V6+99prV/7322mv4xje+4Ugc4Iv6p2ka/u///s+ROmHGMde1nc6TLDLbbqKLdc1hit7vAMSt0cvS2tqKt99+O+KYOY589NFH2LdvHzIyMoTF+uijj6CqqtXPAt2b82+//bbQWEReFGvOF90H2X1ZfzRhwoRTiptwm/NDhw7FOeecE3Gn5znnnIPRo0fj/fffx/Tp0wEAn3zyScT/19bWBgBIS0uLK/7YsWMHzJ3zP/3pT3HdddcB+KKS2Bc5r7/+enz7298WFm/WrFnYtm2bFUtVVZx99tmYNWtW3HGeeOIJdHR0AABef/117Nq1C+3t7ejs7ATQfdHzjW98A2VlZQDQ5+LJ6cR66qmn8Ic//CHiYgQAJk2ahFtvvTWuOHbXX389nn/++R7HzW9Z/+xnPxPyzfEtW7b0epeZYRjw+/3C6kR2djYaGhp6jbV161Yhd0g89dRTKCkp6TXOU089JezO+aeffhpLlizp9e6cp59+Wsid8xs3bsTdd9/d6/s+n0/YecrMzOz1EUaGYeDhhx8Wcuf8E088gbvvvrvXxbIzzjhDWJ5mzpyJX/7ylzHfMwwDjz76qJC7En/2s59h+fLlveYpOTlZWN/3+uuv44UXXgDwRT9u73vmz5+PvLw8If3eggULIh5zZY+lKAoqKyuF9H2zZs2y7riOlafzzz9fWJ34slgix0Kfz4dQKBQzjojx0HTmmWdaG/Ru5unMM88UFmvSpEnWnfNO5unBBx/EqlWren2/oKBAWNstKyvDBx98AMD5tjt//vxe46iqGnfbNWM99dRT+P3vf99rrEmTJuH2228XMj8y7ziLFWvSpElC+wjzzvlYeRo2bJi0cVfUGBX9uYDYPtZe94DY9c+8DvjRj34kbM5sijU+iez3hg0bZm3QR8cSMT7Zy2/hwoXo7OzstT3Fe81xKv1Reno61q9fL+wa6qabbkI4HI6ZJ/OaTeT12u9///sesUT0e6Ynn3wSJSUlvc75vva1rwmrf1u3bsXixYtjvmdeQ/X3znkgsuzuuOMOa6MyVh8r6np369atWLRoUcz3RF4XAsC1116Ln//8573GEnVt+OSTT2Lu3LkIh8M96kU4HMaTTz4p7M75n/3sZ7j++utjngfDMIStFfQVR+SahBnrhhtuiNmmRMeaNWsWduzYYa35paenW1/Ic2KtKhAIIBgMwjAMnH322VAUxZGx0H737be+9S1h5dVbLLOP0DRN6DWNadasWaiursb//u//AnAuT7NmzbLuZn/mmWcAAFdeeaV157zoNdLoWE6eqyuvvBIVFRVQFAVXXnml8HNkZ9Y/XdcxYsQIIddPvcUx15idzpMsMtuuF0RfcwSDQcyfPx+6ruOrX/0q8vLy8KMf/QhAfHsBbrjooovw29/+Fu+++y7C4TCAL26sHDlyJKZOnSosPxdddBF27dqFI0eOROxbqaqK7373u0JjEXlV9JyvtrYWH330EQCgoqIioj8X1R8pRoI9X+X+++/H66+/bi0amubOnYszzjgDmzdvxvjx43H33Xdj3rx51vuvv/46br31VvzmN79x5Nt+btmwYQNqa2t7HJ8+fXqvG5rxaG9vx8yZMwF03706ZMgQ4TFkx5IV54EHHsBbb73V4/j3v//9ft8dEcu0adOsQd9OVVX86le/EhYH6H78evQXYYDuL8H0tmjSH1dccUXMR0EpioJf//rXwuIA3b8tH+sLOJqmxWxr/dXX71fu3btXWByZsZin+LGPTYxYzNPAj+XVtuu18yQ7lqw4Musfz1NixGKeBn4sme121qxZEU/IMZ111ln4xS9+ITQWIKf8ZF0XAvKuDRcsWBDzy1ZZWVnCfvLHJGutQFYc2bG81h/JjCMzlhfzJDMW85QYvJgnmbxWfi0tLbjlllsi1pmTkpLw7LPPYuTIkQkbi2gwkNEf9f48sAHqhz/8If7+979HPFbu448/xqFDhzBmzBj4fD58//vf73FRVlNTgwsuuMBTG/MAUFpaGvMRk05szFN8HnzwwZjHRV+Y9rYBL3pjHgB27twZ87joBZjeFllEb8wD6HUDXuTGPND7Ip8Tm0ayYjFPRDRQsO2Sm1j/iBKPzHZr/zkeOyc25mWRdV0IyLs23LZtW8zjojfmAXlrBbLiyI5FREQ0EGVmZsLv90c8Dczv9zuyWS4zFhGJkXCb85dffjm+853vYOnSpaipqcFvfvMb/PjHP4bP58OcOXMAdP/O2DvvvIOysjL8/ve/x6ZNm1BdXY3i4mKXU++MDRs29PmaBo61a9f2+VqUSy+9tM/XIt1www19vhblkksu6fO1SJdddlmfr0X5zne+0+drkTIzM/t8LcqYMWP6fC1S9O+ROfX7ZFlZWX2+JqKBKfpnSET8LAnRqZI1RhGROD/4wQ/6fC2S+fN0vb1ORLKuCwF514bRNz04eROErLUCWXFkxyIiIhqIioqKkJ6eDqD7p1f8fr8nYhFR/BJuc15VVTzzzDMYN24cVqxYgTvuuANnnXUWtm/fjnPPPRcAMHHiRJSXl6OxsRE333wzqqursXbtWuTl5bmcemeMHj0aw4YNA9D9+4mjR492OUXUm+zsbOsRGEOGDEF2drYjcZYtW9bna5FkLcL89Kc/7fO1SPfee2+fr0V5/PHH+3wtUvSdH73dCRIvmV8Wevrpp/t8LUr03TFO3C1DROK9+OKLfb4mcpKsMYqIxCkrK+vztUgLFizo83Uikrk5L+vacPr06RF3oE2fPt2ROIC8tQJZcWTHIiIiGohSU1NRXFyMjIwMFBcXR/xudSLHIqL4JbmdgP74yle+gkcffbTP/+ayyy5z7G7Xgejll192Owl0inbv3i0ljsxHp8qKxTwlRizmiYgGCrZdchPrH1Hi8eI8ViYvlp8TP6XWG1lrBbLiyI5FREQ0EE2ePBmTJ0/2XCwiik/C3TlPRERE8amtrUVJSQk0TXM7KTSIaZqGkpIS1NbWup0UIiIiIqIvVVdXh5SUFPh8PmzatAmLFy/mXJaIiIiIThs354mIiAaZqqoqHD16lJvz5CpN03D06FFUVVW5nRQiIiIioi9VXV0NRVGgqioOHDiAI0eOcC5LRERERKeNm/NERESDTGFhIYYPHw5d191OCg1iuq5j+PDhKCwsdDspRERERERfqqCgAIZhIBwOY9KkSRgxYgTnskRERER02hLyN+eJiIio//Ly8nDppZdi5syZbieFBjFd17Fx40YMGTLE7aQQEREREX2pnJwcbN68GQCwdOlSzmOJiIiIqF945zwREREREREREREREREREZHDuDlPRHGrr6/H3LlzUV9f73ZShKmoqMC0adNQUVHhaByZZScrFvNEREQErF27Frm5uVi7dq3bSSEikoJz5viw/IiIiIiIBgduzhNRXILBIMrLy9Ha2ory8nIEg0G3kxS3kydPorKyEuFwGJWVlTh58qQjcWSWnaxYzBMRERHQ2tqKffv2AQD27duH1tZWl1NEROQszpnjw/IjIiIiIho8uDlPRHGprKzEiRMnAAAnTpxAIBBwOUXxKysrQzgcBgCEw2GsWrXKkTgyy05WLOaJiIgIuP322yNel5aWupMQIiJJOGeOD8uPiIiIiGjw4OY8EfVbS0sLAoEADMMAABiGgUAggJaWFpdT1n9NTU04dOhQxLGDBw+iqalJaByZZScrFvNEREQE7N27F8ePH484duzYMezdu9elFBEROYtz5viw/IiIiIiIBhduzlO/aJqGkpIS1NbWup0UcolhGNi8eTOA7vrg8/mgaZp13FxYSCTmXfIpKSlITk6OeG/dunXW3fTxspedSdM0aJqG1atXCy276FjmuVIUReh5klkfzM9UVdWKYz/uRJ5MTp0nN3mhP6+trcXixYtRV1fndlIS1qZNm2L2fTTwmH2s0/W9rq4uoo91gtl2N23aZMWqq6vD4sWLE7ZP0nUdGzZsgM/nQ0pKCnw+n/Xehg0boOu6sFi1tbUoKSlx9BzF4oVxwySjnnuZrP6IBrZYc2YAUBQFJSUlqKmpcSFVicOL19WUmLw0vhMRERENdNycp37RNA1Hjx5FVVWV20khlzQ3N6OxsRG6rkPTNKiqCk3ToOs6Ghsb0dzc7HYST1tDQwPC4TAURYGqRnaPbW1taGhoEBLHXnYmTdOgKApaWlqEll10LPNcKYoi9DzJrA9mLPM8mQvqomPJPE9u8kJ/XlVVhSNHjqC6utrtpCSsAwcOxOz7aOAx+1in63t1dXVEH+sEs+0eOHDAilVdXY0jR44kbJ9UU1MDXdehKIr1Z9J1XegmVVVVFY4ePerK5nyijxsmGfXcy2T1RzSwxZozA92b86FQCDt37nQpZYnBi9fVlJi8NL4TERERDXRcgaV+0XUdw4cPR2FhodtJIZdkZWVhwoQJUFUVuq4jHA5bCwoTJ05EVlaW20k8bdnZ2VBVFYZh9LhLfujQocjOzhYSx152Jl3XYRgGRo0aJbTsomOZ58owDKHnSWZ9MGOFw2ErDgDhsWSeJzd5oT8vLCzEiBEjUFBQ4HZSEtakSZNi9n008Jh9rNP1vaCgIKKPdYLZdidNmmTFKigowIgRIxK2T8rPz7fueDT/TJqmIT8/X1iswsJCDB8+3NFzFIsXxg2TjHruZbL6IxrYYs2Zge47wn0+H2bPnu1SyhKDF6+rKTF5aXwnIiIiGui4OU/9ous6Nm7ciLy8PLeTQi5RFAVLliyBoijQdR2hUMi6U8w8nmhUVcXKlSvR0dGBzs7OiPeWL18u7I7SWGWk6zp0XceKFSuEll10LPNcGYYh9DzJrA/mZxqGYcWJToPIODLOk5u80J/n5eXh6aefRk5OjttJSVhLly6N2ffRwGP2sU7X95ycnIg+1glm2126dKkVKycnB08//XTC9kmapqG0tBShUAgdHR0IhULWe3fddZfQO7Tz8vKwceNGVzbnE33cMMmo514mqz+iga23ObhhGNi0aZPQLyV5kRevqykxeWl8JyIiIhrouDlPRP2WmZkJv99vLRgoigK/34+RI0e6nLL+Gz9+PMaMGRNxbOzYsRg3bpzQODLLTlYs5omIiAjIzc3FsGHDIo6de+65uOyyy1xKERGRszhnjg/Lj4iIiIhocOHmPBHFpaioCOnp6QCA9PR0+P1+l1MUv7KyMusuefNueifILDtZsZgnIiIi4Iknnoh4vWHDBncSQkQkCefM8WH5ERERERENHnFtzm/fvr3P97u6unDnnXfGE4KIBrjU1FQUFxcjIyMDxcXFSE1NdTtJcUtLS0NRURFUVUVRURHS0tIciSOz7GTFYp6IiIiAjIwMTJ06FQAwdepUZGRkuJwiIiJncc4cH5YfEREREdHgkRTP/7x27VqkpKTg6quv7vFeKBRCcXEx9u/fj8cffzyeMEQ0wE2ePBmTJ092OxlCzZ8/H/Pnz3c8jsyykxUr0fNkGAaCwWDEsXHjxmHr1q0AgPb29oj3UlNT+VuQRETUw/Lly91OAhGRVF68LpSJ5UdERERENDjEtTlfXFyMFStWIDk5GTNnzrSOf/755/jxj3+Md955B5s2bYo7kUROqa2txa5du6BpGnRddzs5ROQywzBQWlqK9957L+K4pmlWPxHdV4wZMwbr16/nBn0fzPKrq6vDjBkz3E5OXMxxIzk5GYqiSMuTpmkoKSnBrFmzkJeX51gMr5wnr6qrq4PP5/PknIX17/TV1tZi+/bt8Pl8Uvsj6h+zjm/atAmHDx9GYWGhY/25Gc/JccPL/ZGX1dXVYc+ePY7XPyIiIiIiIupdXI+1/8lPfoKFCxdi2bJlqKmpAQCcPHkS8+fPx8GDB/HMM8/gRz/6kZCEEjmhqqoKR48ehaZpbieFiAaIWJvsmqZBVVX2Ff1kll91dbXbSYmbOW6oqio1T5qm4ejRo6iqqnI0hlfOk1dVV1d7ti9i/Tt9VVVVaGtrg6qqUBSFZTfAmXX8wIEDOHLkiKP9uRnPyXHDy/2Rl1VXV0upf0RERERERNS7uO6cB4DS0lKEQiHcc889+OSTT/DSSy+htbUV27Ztw3e/+10RaSRyTGFhIXbt2oXm5ma3k0JEA4CiKFi/fn3EY+2DwSDmzJkDAFiwYAHy8/Mj/h8+1v7LmXfVFRQUuJyS+JnjRktLCxRFkZYnXdcxcuRIFBYWOhoD8MZ58qqCggI888wznrxTlfXv9BUWFmL79u34+9//LrU/ov4x6/iUKVOsO+edjufkuOHl/sjLCgoKrDvniYiIiIiIyB1xb84DwL333ouOjg6UlZUhPT0dL774Ir75zW+K+GgiR+Xl5eHSSy+N+FkGIhrcFEXBkCFDIo6Zj7PPz8/v8R59ObP8cnJy3E5K3KLHDVl50nUdGzdudLT+eek8eVVOTg42b97sdjIcwfp3+tzqj6h/zDq+dOlSKXMJp8cNL/dHXpaTk8OfvyAiIiIiInLZaW3Or127ttf3zM2Mb3/729ixY0fEe8uXL+9f6oiIiIiIiIiIiIiIiIiIiDzgtH5z/qWXXur1b/v27fj888/xu9/9rsdxIvpCfX095s6di/r6ek/EAYCKigpMmzYNFRUVjsaRmSdZsWSVnUylpaXIzc1FaWmp47Fk1gkiSjzsI8hNXhzjibzOi9cbMnkxTzJ5cdzwYp6IiIiIiOJ1Wpvzf/7zn0/7709/+pNTaSdKOMFgEOXl5WhtbUV5eXnE71onYhwAOHnyJCorKxEOh1FZWYmTJ086EkdmnmTFklV2MjU3N+PQoUMAgEOHDqG5udmxWDLrBBElHvYR5CYvjvFEXufF6w2ZvJgnmbw4bngxT0REREREIpzW5jwRxaeyshInTpwAAJw4cQKBQCCh4wBAWVkZwuEwACAcDmPVqlWOxJGZJ1mxZJWdTEuWLIl4XVxc7FgsmXWCiBIP+whykxfHeCKv8+L1hkxezJNMXhw3vJgnIiIiIiIRhGzOv/POO3j66aexbt06fPDBBwCA9vZ2HDp0CJ999pmIEGRjGAba29tP+c8wDLeTTABaWloQCASs82EYBgKBAFpaWhIyDgA0NTVZd0mbDh48iKamJqFxZOZJVixZZSdTIBBAe3t7xLHPP//ckYU5mXWCiBIP+whykxfHeCKv8+L1hkxO5mkwrH94cdzwYp6IKDEMhnGDiIgSX1I8/3MoFMIdd9yB3/zmNzAMA4qi4Ic//CG+/vWvQ1VV3HTTTZg/fz5uvfVWUekd9AzDQGlpKd57770e72maBk3ToOs6dF23jo8ZMwbr16+HoihC0mDGqaurw4wZM4R8ZrTa2lps374dPp8vIi9Oq6urw549e1BYWIi8vDxhn2sYBlavXo2kpO4mZ+bJMAxs3rwZ69atE3J+zM9TVTWiLoiOA3R/833dunURx5KTk6GqKlatWoVdu3ZBVeP//o+ZdjuzDq5evRpbtmwRlidZ5WcvOzMvZh+6Zs0a7Ny5U0jZydTV1YXnnnsOmqZZ9dy8wKmoqMDs2bOt4/GSWc9ra2uxa9cuKw4APPbYY9i/fz+mTJmCu+66S0gce6zk5GQoiuJYH2um/7zzzoPP54NhGCgpKcGsWbOE9ntu0jTNsTyZ41NKSgoAoKioCJdcconQumCPZdY/AI7madeuXfD5fFAUxfE8bdu2DSkpKY7VPfu4YZ8bOdFHmDZt2uRonnpTW1uLqqoq4fMWWWL1RwsXLoSiKJgzZ47QPJmxkpOTAQBz5swR3o8Dscd4RVHQ1dWFdevWYceOHcLGeDNPPp8PQHc9/I//+A9Hys8+Rqmqinnz5iElJUV4HJM5n5g3bx4AwOfz4frrr3csltPXNvY4mzZtwuHDhx1rt3V1dVZ/7nQsoHv+71R7iuX+++/H4cOHceGFF2L9+vVCPjP6esM+Pxc9bsiMJYuT12vR6x+x1jyij4le/3Ba9HW12c+ax0WOG7LU1NRgy5YtEddQ5nmScb3r1Pwo1rUhEQ0sA2HdnIiI6FTENRveuHEjfvvb36KsrAy/+tWvIr5plpKSgmnTpuE3v/lN3ImkSL1NFjRNszarnGTGqa6udixGVVUV2trapOTHrrq6GkeOHEFVVZXQz21ubkZLSwsURYnIj67raGxsFPa73M3NzWhsbISiKBFlJzoOADQ0NKCtrS3imKqqUBQF4XAYDQ0NQuKYebJPnM2F7paWFqF5klV+9rIz25P519nZKazsZNq+fTuAL86N+WeWo/m+CDLreVVVFY4ePRrRbvfv3w9d17F//35hceyxzLrgVB9rpv/w4cNWrKNHjwrv99ykaZpjeTLHJ7OOG4YhvC7YY5n1z+k8HT16VFqegsGgFcuJPNnHDfvcyIk+wnTgwAFH89SbqqoqR+YtssTqj9ra2nDy5EnheTJjmXGc6MeB2GO8Of9ra2sTOsabeTLHwwMHDjhWfvYxSlEUBINBR+KYzPlEMBhEMBhEW1ubo7Gcvraxxzlw4ICj7ba6uto6T07HAuBoe4rl8OHDAID3339f2GdGX2/Y267ocUNmLFmcvl6zr3/EWvOQtQ7ilOjrarM+mGNiIl4bmk9Oi3WeZFzvOjU/inVtSEQDj9vr5kRERKcirs35PXv2oKioCH6/H2lpaT3ev+CCCxLy4nIgUxQF69evx+7du60/88JH13V89atfxaJFiyLeF/3tP13XEQ6HUVBQIOwzoxUWFmLo0KEIh8NSv5FcUFCAESNGoLCwUOjnZmVlITMzE4Zh9Fi0mDhxIrKysoTFmTBhAsLhcETZiY4DANnZ2Rg6dGjEsXA4DMMwoKoqsrOzhcQx82T/Zr15B+SoUaOE5klW+dnLzmxP5l9ycrKwspPp+uuvB/DFuTH/zHI03xdBZj0vLCzE8OHDI9rtlClToGkapkyZIiyOPZaZL6f6WDP9559/vhVr+PDhwvs9N+m67liezPHJrOOKogivC/ZYZv1zOk/Dhw+XlqfU1FQrlhN5so8bZh9rbtSL7iNMkyZNcjRPvSksLHRk3iJLrP5o6NChSEtLE54nM5YZx4l+HIg9xpvzv6FDhwod4808mePtpEmTHCs/+xhlGAZSU1MdiWMy5xOpqalITU3F0KFDHY3l9LWNPc6kSZMcbbcFBQXWeXI6FgBH21Ms559/PgDgwgsvFPaZ0dcb9rYretyQGUsWJ6/Xotc/Fi1ahOHDh2PBggXWf7NgwQIMHz7cWgdJtLsfo6+rzfpgjomJeG3o9/sBIOIayqzrMq53nZofxbo2JKKBJda6ubl2bvZDCxYscHTdnIiI6FTE9YzhEydO4Fvf+lav72uahmAwGE8IikFRFAwZMqTHcV3XsWnTppjviWRuEuTk5DgWIy8vD5deeilmzpzpWIxYcnJyHHmcpaIoWLFiBW655ZaICzlFUbBkyRJhk0Dz82655RaEQiHH4gDd3+hftmwZ7rvvPutYZ2cnAOCRRx4R9pg6e55M5l1iK1asEJonWeVnL7vox2mtXbs24R5bCABJSUm4+eab8dxzz/VYrFi0aJGwR9oDcut5rL7orrvucuSxrdGxnOpjzfS3t7dbsTZu3Oj42CGTruuO5Sn6PO3evduxsouOxTydGnsfYe9jk5KShPcRpqVLl1pPi5LZnvLy8hLycfamWP3R1q1bHSm/u+66C7fddpsV59VXX3UkTl9j/PLly4WO8dF5Wrp0qbS2u2PHDkfruVl2Tsexx3Ly2sYex8nzBHTPH8xHjDsdC+ie/zvVnmJ56KGHHB03gC/OlRPjhsxYsjh9vWZf/5gxYwZmzJiB9vZ2PP300wCA/Px8zJ49O64Yboq+rjavqQHgwQcfTMhrw/z8fAwfPjxircCs6zKud52aH7m1TkVEp6evdXNd15Gfn++p9Q8iIkpMcc2IR4wYYT1WLpampiZ87WtfiycEkWdkZmbC7/dbixOKosDv92PkyJEJGQcAxo8fjzFjxkQcGzt2LMaNGyc0jpknO6fyJCuWrLKzy83Ntf6c4Pf7e1zgnHHGGbj66quFx5JZJ4go8bCPIDe5McYTUXy8eL0hkxfzZLrllluQm5sb8eUD0WSPGxUVFZg2bRoqKioc+XyAYyERERERUV/i2pwvKChAZWUl3n77beuYuSG4Y8cO1NbWJuxjNomcUFRUhPT0dABAenp6jwWMRIsDAJdffnnE68suu8yRONGPrrzgggsciQMAH3/8ccTrv/3tb47E+ed//ueI11OnTnUkDgA89thjfb4W5Xvf+17EaycXX44fPx7x+tixY47FIqLEk5KSEvHa5/O5lBIajEaPHh3x+tvf/rZLKSGiUyVz3Lj44osjXsv6WQAnRc/7v/vd77qTEIHef/99fPjhhwCADz/8EO+//75jsebNmxfx+sYbb3QkzsmTJ1FZWYlwOIzKykqcPHnSkTgAUFZWZt0lr6oqVq5c6VgsIiIiIqJEEtfm/I9//GOMHz8ec+fOxY033ghFUfDQQw/h0ksvxYoVK3DJJZdg/vz5gpJKlPhSU1NRXFyMjIwMFBcXIzU1NaHjAN2P7+3rtSirV6/u87VItbW1fb4W5cknn+zztUh79+7t87Uob775Zp+vRZKVJyJKTNu2bevzNZGTfv7zn/f5mogGHpnjxp133hnx2omfTJLt3nvv7fN1Ilq6dGmfr0VatmxZn69FKSsrQzgcBtD9+/arVq1yJA4ApKWloaioCKqqoqioCGlpaY7FIiIiIiJKJHFtzvt8Pjz77LNYt24dsrKycP755yMUCuFb3/oWHn74YWzZsgWapolKK1FCMQwD7e3tPf7GjRuHrVu3Yty4cRHHDcMQGsuJONGWLFlyWsf764EHHjit4/EoKCg4reP9tWjRotM6Ho/8QsQl/gABAABJREFU/PzTOj7Q4wDA9OnTT+s4EQ0u11133WkdJxKpt98+TuTfRCbyOpnjRiAQQHt7e8Sxzz//HIFAQHgsWTZs2NDjOtMwDGzYsMGlFMVv69at6OrqijjW1dWFrVu3JmyspqYmHDp0KOLYwYMH0dTUFPdn97b+4ff7sWvXLvj9fsfWJYiIiCjx9TaX6O2PcwlKdEnxfoCiKJg5cyZmzpwpIj10mmpra7F9+3akpKT0uJgT7bHHHsP+/fuRnJyMzs5O1NXVYc+ePSgsLEReXp7QWGa+fD4fdF0X+tl2jz32GH73u98hJSUFhmFg4cKFuP766+POj2EYKC0txXvvvQcA0DQNSUmxm1s4HEZnZyfGjBmD9evXWz8N4VSsb37zm/2KE2337t344IMPrMc/hsNh65F1H3zwAT7//HOcccYZccUAgGAwiHfffdeKYxgGFEWBYRh499138ctf/hIzZsyIOw7QfVeboig9HmlpGAZCoRCOHz+OYcOGxR3ns88+w0cffWTVOzM/iqLgyJEjePjhh3HffffFHQcAWltboapqjzwB3flqbW1FRkaGkDixyk50HKD78fV9xTp27BjOPfdcIbEee+wx7Nu3z4pl/4mICy+8EOvXrxcSx3Tbbbf1iKUoCnbv3i0sxh133GE9ktMeS1EUXHLJJULv3LrqqqvQ1dUVs/ymTp0qLJYZB0CPWKLP080334xjx445XifMugf0zNO5556L5557TkgcoPc8paSkCL/bt7dYIsuura0Nn3zyScw+4tNPP8WuXbswa9YsIbEAoLCwEOFwuEeekpKSsHDhQmFzJPucz8k4ADBnzhx8+umnjte9vur5rbfeKrTstmzZAsMwYvaxP/7xj4XF+sUvfoFQKBSz/gWDQfz973/HOeecIySW2Z9H50nTNCxatEhYnmKNG0VFRcLHDLvk5GSoqupoe4pVJ0TXcTNWrLYLiB0La2trsW3bNgSDQcfbrsnn80FRlIg8nXXWWXj55ZeFfH5tbS2qqqpw/vnnR+RJ9Nguc9zo6urCc889B03ToGmadQ2gKApeeOEFzJ49u9drudNlXr+fd955EedKdHsKhUKora212q15V7aqqnj99dcRCoWE3UX/2GOP4Y033gDwRX+0adMm4Xfpd3Z2Yvfu3RHXa11dXdB1HT//+c8xf/58JCcnC4lVXV2NX/7yl9Y5Ar5YIxAZKxwOY82aNdYai67rVj1cs2YNdu7caV3Pn67oNQkAPeq4+U8zdn/XP/qiaRrmzZuHUCiEiy++2NEnUmiahpKSEsyaNUv4epjJrBO33XYbkpOTHVt727VrlxXLifZkqqurs9pUXV0d/vM//xP79+/HlClThJ4rM0+apjm6nhiLk+ukbpBRz2Uy+6W6ujph64hEJEasuQSAiPllZ2dnxHtOzCWI7JweN+K6c94UCoXw9ttv49/+7d8c+21miq2qqgptbW1QFMXxpxTs378fuq5bF2zV1dU4cuQIqqqqhMcy86WqqqP52r9/v3WRqKoq2trahOXHPjBommYtukT/9fcC2K1YpoqKCqiqGvHZ9liiHvl3//3395mf559/XkgcAHjhhRd6jQUAN9xwg5A4P/nJT3qNoyiK0EfB33DDDX3GEpWnG264oUcdcCKOGUtGnoDuPgJARD0wOfGbk8ePH+8RS/Q3Qe3ptscyDMPKryjmhnms8hMZy/7ltOhYos/TsWPHYsYRHctePtGxzDSI0lueOjo6hMbpK5bIsluwYEGffYToxxSbmxDReerq6hI6R7LP+ZyMA3RvRgHO172+6rnosjP70lh9rMhYFRUVfc5bRP6GsNluovOk67rQPMUaN5wYM+zMOYXJifYUq06IruNmrFhtFxA7FlZVVSEYDAJwvu2aYuXJ7D9EqKqqwpEjR3DgwIGIWKLHdpnjxvbt2wF0X7Opqmr9mX2E+b4I5vX74cOHI9qU6Pb06KOPAkBEPuzXBSKvbfbv349wOIxwOGx9/oEDB4R9vumpp57qcZ1rX5d46qmnhMV68cUXe1xP26/bRcVqaGhAZ2dnxBqLWQ87OzvR0NAQ1+dH9wXRddz8c3J9R9M0BINBhMNhR8coM9bRo0cdWQ8zmfXh+PHjjq69HT161NH2ZKqurrbqd3V1tdVHiT5XZp7ceJKrk+ukbpBRz2Uy+6Xq6mq3k0JEMUTPJYDI+SWRbE6PG3HX6hdeeAEXX3wxrrvuOhQXF+Mvf/kLAOBvf/sbvv/97+PVV1+NO5HUu8LCQgwdOhSGYTj+jdApU6ZA0zRrEbqgoAAjRoxAYWGh8FhmvsLhsKP5mjJlirXAGA6HMXToUCH5URQF69evx+7du7F7924sWrQIQ4cOhaqqMAwjYjHw4osvxu7du/v9Ta9YscxvIxuGgaSkJCQlJVmxRH2jbP78+QiHw1Yc+78bhoFNmzbFHQMAHnrooYjPtf+Fw2HMmzdPSBwAuPHGG3uNBXQvnIjw5JNP9hrHMAz84Ac/EBIH6E5zX7FE5enFF1/sUQeciGPGkpEnoLuPABBRD0wXXnihsDimYcOG9Yglor3a2dMd3R+Z+RXFvPMrVvmJjGW/wyw6lujzZD6Vwek6YS+f6FiingwR/XnRcWLdQehULJFlt23btj77iAULFgiLBcC6SIzOU1JSktA5kn3O52QcoPvOV8D5utdXPRdddvYvIkX3sSJjzZ8/v895ywsvvCAsltluovOkaZrQPMUaN5wYM+zMOYXJifYUq06IruNmrFhtFxA7FhYWFiI1NRWA823XFCtPZv8hQmFhIUaMGIFJkyZFxBI9tsscN66//noA3V+iMTeZzfoeDoet90Uwr9/PP//8iDYluj3dfffdABCRD/t1gchrmylTplibvObnT5o0Sdjnm2699dYe17n2dYlbb71VWKwbbrihx/W0ueYiMlZ2djaSk5Mj1ljMepicnIzs7Ox+f3b0moS5LvHVr37Vqg+TJ0/G8OHDsWjRorjWP/qi6zpSU1OhqqqjY5QZa/jw4Y6sh5nM+jBs2DBH196GDx/uaHsyFRQUWPW7oKDA6qNEnyszT7LvmgecXSd1g4x6LpPZ54n+2Uoiil+sucTu3bsxefJka+wIBAIR7/GueXKa0+OGYkRfTZ+GnTt34oEHHsD06dMxZcoULFu2DNu2bcPkyZMBACUlJfjkk0/wr//6r8ISTD21t7dbPyuwe/duDBkyhLEGYByZsWTFWbJkCf7zP/+zx/GLLrpI2OY80P3b8m+99VaP49///vexZs0aYXGA7oupUCjU47jP5xP6LalFixbhgw8+6HH8/PPPx5YtW4TFAbp/8z3Wz14kJSWhpqYm4eIA3b8tH/04I6D7cUd79uwRGsuLfYTMWMxTYsTyWp6uu+46nDhxosfxc889V+hdiSaep8SIJSvO7Nmz8cknn/Q4npaWJvynInieEiMW8zTwY8kcNwKBQMyfGVi0aBGuvvpqobEAOeW3YcMG1NbW9jg+ffp0lJSUCI8nI09bt26N2WcXFRXhpptuSshYTU1NMX8+7ZFHHsG4ceOExTGxPxr4cWTG8mKeZMZinhIjlsw8eRHLj6KxTpBbZNS9uO6c37ZtGy677DI8/vjj+OEPf9jj/TFjxuCvf/1rPCGIaADbvHlzzOMiN+YB4MEHH4x5XPTGPIBeN+BFP77kmWeeiXlc9MY8gF43xkVvmMuKA6DXDXjRG/NElJheeeWVmMed2JgnirZz586Yx0VvzBORODLHDb/f32Nx54wzznBkY16W0tLSHncuKYriyMa8LAsXLox4OhPQ/aVj0RvzMmONHz8eY8aMiTg2duxYRzbmiYiIiIiod3Ftzv/P//wPpk6d2uv755xzDv7+97/HE4KIBrj777+/z9eirF27ts/XIl155ZV9vhblrrvu6vO1SLm5uX2+TrQ4AJCXl9fnayIa3BYuXNjnayIn3XDDDX2+JqKBR+a4Ef0l5/LycsdiybJhw4Y+Xyei6C+di/4SuhuxysrKrJ/kUVUVK1eudCQOERERERH1Lq7N+aFDh+Ljjz/u9f3333/fsd+3I6KBwfwZi95ei5KdnW3dYTJkyJC4fhPvy8hamMvNzY1YGHFyI3vJkiV9vhZF5qJm9O8vivztRyJKfNdcc02fr4mcxPpHlHhktttzzz3XulM6KSnJE+smo0ePxrBhwwAAw4YNw+jRo11OUfwuvPBCfO1rXwMAfO1rX8OFF17oWKxRo0ZFXBuOGjXKkThpaWkoKiqCqqooKipCWlqaI3GIiIiIiKh3SV/+n/Ru6tSp2LFjB+bMmdPjvb/+9a/4+c9/jtmzZ8cTgogGuMrKSiiKAsMwoCgKAoEA5s2b50is3bt3O/K50WTm6Ve/+pUjnxtNVp7KysoiXq9atQrr168XHgeQe56IKDHt3bvX7STQIMUxiigxyRo3Kisroes6AEDXdc/0ES+//LLbSRDu2WeflRKnsrIShmEAAAzDcLROzJ8/H/Pnz3fks4mIiIiI6MvFdef87bffDl3XUVBQgCeeeAKKoqCqqgp33XUXZs+eja985Sv4yU9+IiqtRDTAtLS0IBAI9FhEaGlpcTll/cc89V9TUxMOHToUcezgwYNoamoSGgfw5nkiIiJv4BhFRH1hH0HRWCeIiIiIiAaXuDbnv/rVr+IXv/gFLrnkEtTW1sIwDOzevRv//u//junTp2PHjh34yle+Iiqt1Iu6ujr4fD5omuZ2UoTTNA0+nw91dXXCP7u2thaLFy925LNPRV1dHRYvXoza2tqEjGMYhvVbieZ50jTNOm4uLCQSr+cJ+CJfiqIIzVM4HMa6desijmmahpSUFJSVlaGmpkZIHKBnnsxYmqZh9erVjp0nTdNQUlLiWJutra3FwoULrXonq4+QJTk5GUVFRbj22muF58nN/tzJ81RbW4uSkhIkJyc7NhaacWTXPSfHd7ckJycjJSUF999/v6farpPcnos5wRyjVFWNmJ8n8lyC4mP25eZcxcm5hCzR49OmTZscHwvNtpTo8yO35rE0cBmGgdWrVyMpKSliTccr44YX53xERERERPE67c35N998E59//rn1Oj09HQ8++CAaGhrw5ptv4o033sBbb72Fhx56COnp6UITS7FVV1dDVVXPbs6rqorq6mrhn11VVYUjR4448tmnorq6GkeOHEFVVVVCxmlubkZjYyN0XbfOk6Zp0HUdjY2NaG5uFhpPBq/nCfiiTSmKIjRPDQ0NaGtrizimaRoURQEABAIBIXGAnnmyx2ppaXHsPGmahqNHjzrWZquqqtDW1mbVO1l9hCyqqsIwDASDQeF5crM/d/I8VVVV4ejRo1BV1bGx0Iwju+45Ob67xexbDx8+7Km26yS352JOMMcoRVEi5ueJPJeg+Jh9ubkB6+RcQpbo8enAgQOOj4VmW0r0+ZFb81gauJqbm9HS0gJFUSLWdLwybnhxzkdERET9ZxgG2tvbT+kvGAxa/18wGDyl/yfRv9hIg8dpb87fdNNNyM7OxlVXXYUHH3wQv/rVr3Ds2DEAwFe+8hUMGzYMqhrXDfl0mgoKChAOhyMu8L1C13WEw2EUFBQI/+zCwkKMGDHCkc8+FQUFBRgxYgQKCwsTMk5WVhYmTJgAVVWt82Ruak+cOBFZWVlC48ng9TwBX7QpwzCE5ik7OxtDhw6NOKbrujUh8vv9QuIAPfNkjzVq1CjHzpOu6xg+fLhjbbawsBBDhw616p2sPkKWcDgMRVGQmpoqPE9u9udOnqfCwkIMHz4c4XDYsbHQjCO77jk5vrvF7FvPP/98T7VdJ7k9F3OCOUaZ7db+5bhEnUtQfMy+XNd1x+cSskSPT5MmTXJ8LDTbUqLPj9yax9LAlZWVhczMTBiG0eNLG14YN7w45yMiIqL+CwaDmDlz5in92deT/X7/Kf0/9g19ooEs6XT/h7Vr1+Ltt99GY2MjXnzxRbz44otQFAWjRo3ChAkTMGHCBIwfPx4XXHCBE+mlGHJycno8Gs8rzEWsnJwc4Z+dl5eHvLw8tLe3u1J+OTk5mDFjRsLGURQFS5YswS233GKdJwBISkrCkiVLrDumE4nX8wR80aZE50lVVSxbtgz33XefdcyM9cgjj2DcuHFC4gA982TGUhQFK1ascOw86bqOjRs3YsiQIY58fl5eHi699FLMnDkTgLw+QpbOzk68+uqrjpSfm/25k+cpVp2QFcfpuufk+O6Wzs5OAMBDDz3kWD/hNW7PxZxgH6NCoVCP44k4l6D4RPexTs4lZInO09KlSzk/OkVuzWNp4DLPvXkNaj/uhXHDi3M+IiIiIqJ4nfbm/NVXX42rr74aAPC3v/0Nb7/9Nv7whz/g7bffxp49e1BVVQVFUXDOOefge9/7HiZOnIibbrpJeMKJyH2ZmZnw+/145ZVXYBgGFEWB3+/HyJEj3U5avzFP/Td+/HiMGTMGhw4dso6NHTtW6Ma8yYvniYiIvIFjFBH1hX0ERWOdICIiosFo3nnnIVnt+4uI5lNZ+/rCYmfYwPP/8z9C00bktLieP/+Vr3wFl112Ge69915UVlaisbERL730EkpLS3Heeefh9ddfx6OPPioqrUQ0ABUVFeGss84CAJx99tlCH1/uFpl5qq+vx9y5c1FfX+9YDKA7T+np6QCA9PR0x/JUVlZmPaZTVVWsXLnSkTiAN+seEYklq48liiZr3CUisbw2N5eN427/2a9tzjrrLE9cgxIRERH1JVlVkKyqff75NA0+TfuS/y6xnzREg5OwH4f/8MMPUVNTg927d2P37t149913oaoqvvnNb4oKQUQDnPlNNi9xMk/BYBDl5eVobW1FeXm5o7+Jk5qaiuLiYmRkZKC4uBipqamOxElLS0NRURFUVUVRURHS0tIciRPNi3WPiOIjs48liiZr3CUicbw4N5eJ425i4HkiIiIiInJfvzbndV3HH//4R1RUVGDp0qW4+OKLccUVV2Dt2rX46KOPkJeXh2effRYNDQ3YvXu36DQT0QBSWVmJTz/9FADw6aefIhAIuJyi+MnKU2VlJU6cOAEAOHHihONlN3nyZLz00kuYPHmyo3Hmz5+PX/3qV5g/f76jcbxY94hIHNl9LFE0WeMuEYnh1bm5LBx34+PVa1AiIiIiIurptDfnb7jhBkycOBF+vx/bt29HamoqbrvtNlRVVeGtt97Cc889hyVLlmDKlCnWI7mIyJtaWloQCASsu5YNw0AgEEBLS4vLKes/WXnyYtnJxPIjor6wjyCZDMNAe3v7Kf/xaS9EAw/Hjfiw/OLDa1AiIiIiosHltDfn33rrLXR2dqKgoAD33HMP7rnnHlx33XX41re+BUXhbzt4WW1tLUpKSqBpmttJEaqurg4+n09qvjRNQ0lJCWprax2N4fP5UFdX58jnG4aBzZs3Q1XViPIzjyfiwrOZdpNZhoqiCM2TrDheZS8/s+w0TUvouiebzP7c7GNTUlJQV1eH2tpaLF682NH+z2leHTe8IrqPBbrLT9M0rF69OmH7CDfmYcnJyUhJScGmTZukxUw0hmGgtLQUM2fOxMyZM3HVVVfhmmuuwVVXXWUdi/674447Eq4eevU6gAjw7rghi2EYWL16NZKSkiL6CM7NT42s+ufVes7xiYiIiIgS0Wlvzm/evBk33HADmpubcccdd+CSSy5BTk4O7rnnHlRWVuIvf/mLE+mkAaCqqgpHjx713EVPdXU1VFWVvsly9OhRVFVVORpDVVVUV1c78vnNzc1obGyEoigR5afrOhobG9Hc3OxIXCeZedJ1HcAXZagoitA8yYrjVfbyM8tO07SErnuyyezPzT5WURRUV1ejqqoKR44ccbT/c5pXxw2viO5jge7yUxQFLS0tCdtHuDEPM9vugQMHpMVMRPYvKNvHJS/x6nUAEeDdcUOW5uZmtLS0QFGUiD6Cc/NTI6v+ebWec3wiIiIiokR02pvzl19+Oe69915UVlaisbERL774Iq655hq0tbVhw4YNmDlzJv7pn/4JN998M/7lX/4F9fX1TqSbXFBYWIjhw4dHXMx5QUFBAcLhsNR86bqO4cOHo7Cw0NEY4XAYBQUFjnx+VlYWJkyYgHA4HFF+mqZh4sSJyMrKciSuk8w8qWp312iWoWEYQvMkK45X2cvPLDtzo57ld2pk9udmH2sYBgoKClBYWIgRI0Y42v85zavjhldE97FAd/kZhoFRo0YlbB/hxjzMbLuTJk2SFjPRKIqC9evXY/fu3di9ezcWLVqE4cOHY8GCBdZ/EwgErPd3796N9evXJ9wTx7x6HUAEeHfckCUrKwuZmZkwDKPHxi/n5l9OVv3zaj3n+EREREREiei0N+ftfD4fJk6ciEWLFmHLli34/e9/jz179uCee+7BZ599hs2bN+Pmm28WlVZyWV5eHjZu3Oi5i56cnByEQiHpmywbN25EXl6eozFCoRBycnIc+XxFUbBkyRIYhhFRfubxRFt0Bnqm3SxDwzCE5klWHK+yl59ZdrquJ3Tdk01mf272sR0dHcjJyUFeXh6efvppR/s/p3l13PCKWH2BruvQdR0rVqxI2D7CjXlYZ2cnOjo6sHTpUmkxE5GiKBgyZAiGDBmCGTNm4JlnnkF+fr71fmpqqvX+kCFDErIOevU6gAjw7rghi6IoWLFiBbq6uiL6CM7NT42s+ufVes7xiYiIiIgSUVyb8yZd1/HHP/4RFRUVeOKJJ/DEE0/gnXfegWEYEd/KJSJvyczMhN/vty7kFUWB3+/HyJEjHYlXUVGBadOmoaKiwpHPB+TlSXbZeQ3Lj4j6wj6CiIhOB8eN+LD84mOWnx2vQYmIiIiIvKtfO+effvopfve732Hjxo248cYbMXHiRPj9fjz88MN48803cdFFF6G4uBgVFRX4wx/+IDrNRDSAzJo1K+Li3qlHLp88eRKVlZUIh8OorKzEyZMnHYkDAEVFRUhPTwcApKen91goSbQ4XsXyI6K+sI8gIqLTwXEjPiy/+NifuALAsacl8TwREREREbnvtDfnCwsL8f3vfx+LFi3CU089hQ8++AD//M//jGXLluEXv/gF3nrrLTz33HO47bbbMGnSJKSmpjqRbiIaIHbt2oVwOAyg+7dpq6qqHIlTVlYWEWfVqlWOxAG6Hz9bXFyMjIwMFBcXO9aPyYrjVSw/IuoL+wgiIjodHDfiw/KLz0MPPRTx+uGHH3YkDs8TEREREZH7kk73fwiFQpg9ezbGjx+PCRMmICsry4l0EVECaGlpQSAQiDgWCARw+eWXIzMzU1icpqYmHDp0KOLYwYMH0dTUhPHjx8f12YZhIBgM9jg+btw4bN26FQDQ3t5uHU9NTe337/HFitVbHCdi9UZWHCdiOXGeiCgxyexjiYgo8Xlxbi4T5+biOHm9G8vkyZMxefJk4Z9LRERERESn5rQ352tqanp9r6OjA7W1tbj44osxbNiwuBJGA9OmTZuQkpKCcDiMuro67NixA4qiYM6cOcIfu1ZXVwefzwdFUVBXV4cZM2YI/Xyv0zQNmqY5VnaGYWDz5s1QVRWapkHXdei6bh1ft26dkAWYcDiMNWvWwOfzWTHMvK1ZswY7d+6EqvbrFzpgGAZKS0vx3nvvAegus6SkpB7/DQAr9pgxY7B+/frTzlt0LLNum+8pioJwOIzOzk7r/xEVyyyv6HhdXV1C8wQAycnJ1vkIh8NQFMUqO9F5sp+r6DLsb5xotbW12L59O3w+HwzDQElJCWbNmuXYYyZNmqY5Fuuxxx7D/v37MWnSJKsc582bh5SUFEf7cl3XsWnTJhw4cABTpkzBXXfdJTSOGSslJQWGYWDhwoW4/vrrHSs/sw1fd911AICLL75YeJ7ssQDgtttuw/Hjx3HhhRdi/fr1wuKY9TwlJQUAsHDhQowbNw5//etfUVhYKKwMa2tr8fLLL8MwDCQnJ0NRFGF5iu4jzL7I7BtMZr8H9L8/ipUvs/y6urpQV1eHPXv2CC07M86uXbussqurq0NycjKqqqqExwIi266TzHxpmgZVVTFnzhxH+gizPSUnJyMcDmPhwoWOzGFra2tRVVWFIUOGWG3KyXmsfb7sVL9nZ7atefPmYcGCBY6Ph05db9TW1mLbtm0IhUJITk5GZ2enY20X+OI8AXCsjgOR7UnXdUfzZOfk+G6fi4nMU6x5rMmcO9vnsIC4eaxTcXpj7yc2bdqEe++9N+7PjJUnMz+GYVhjcLzXUNEee+wxvPHGG/D5fFbZJbqamhps2bLFGt/t9WHdunXYsWNHv693ich7nFwrICIiInmEzvA/+eQT3H///fjrX/8q8mNpADlw4AAURYGqqqiurkZbWxtOnjzpyKPMq6uroaoqFEVBdXW18M/3OnOR26mya25uRmNjo1UfNE0D0L2J3djYiObmZiFxGhoa0NnZGRHDzFtnZycaGhri+nz7ApG5gR39Z48tKlZvcUSJzpfZlsw4iqIIzxOAHnFElV10rL7OlUhVVVVoa2uz8nL06FHHfrrBTtM0x2Lt378fuq7jwIEDVjkGg0HH+3JN03DgwAHouo79+/cLj2PGMutBW1ubo+Vn1rlwOIxwOOxInuyxVFXF8ePHAQDvv/++0DhmPTfz1NbWhv379+PIkSNCy7CqqgonT56MaFMi82TvI+x9kf1PVH9kZy8/TdNQXV0tvOzMOEePHrXKrrq6GlVVVY7EAiLbrpPMfJljlVN9hNmezDw5NYc1z8nhw4eteufkPNY+X3aq37MzYwWDQSnjoVPXG1VVVQgGgwiHw9bcwam2a362WXZOjoP29mTGdSpPdk6O7/a5mOg+treNYrM/Etn/xYrlRJxY7PXvwIEDwj43Ok9mfsxYTuRt//79CIfDCAaDjpebLOaT6GJdO7W1tcV9vUtE3uLkWgERERHJc9p3zn8Z8y5T8qZJkybhjTfeQDgcRkFBgXUnS2FhofBYBQUFeOaZZ6AoCgoKCoR/vteZ37Z3quyysrIwYcIEvPvuuxHxNE3D9773PWE/eZGdnW3d0WTGMP+ZnJyM7Ozsfn+2oihYv3699ThG8+6sjo4O69j555+P9vZ2FBQUICcnp9+PZIyOdf/99+Pw4cMwDAOGYSApKQmTJk3C0qVLrf9HVKy6ujoEAgG0tbVZn5uSkoJrr71WaJ4AYMOGDaivrwfQ/bjEDz74wCo7J/N01llnIRgMWmUo6tGZhYWF2L59O/7+97/DMAxkZmY60t9F03UdI0eOdCTWlClTrDvnf/vb30JRFOsOTyf7cl3Xcckll1h31jmhoKAAW7duhWEYOOeccxwtP/MpF+YCqhN5sscyDAMZGRnWXeYimfX85MmTAIC0tLSIO+dFxjHvnP/444+hKIqwPEX3EeZdnPbzdNZZZ1n9HiDuEbv28tN1HQUFBdZdnSIVFhZi165daGlpseZG9jvnRbO3XSeZ+WpuboaqqvD5fI62p1AohHA4jHPOOceROWxhYaF15/x//dd/AXBuLmZ+tjlfTktLc3yMMjezhwwZImU8dOp6o7Cw0Lpz3uwnnGq75mc/88wzAICkpCTHxkF7ezLjOpUnu0mTJjk2vtvnYiL72Fjz2GAwCL/fD13XMWLECFx55ZXWmAGIm8easebMmQMAWLBgAfLz8+OO0xt7PzFp0iQhnxkrTzU1Ndi2bZs1D1MUJe7rjWhTpkyx7pz/5JNP4v68gcDv92PLli0RTx0zDR06NK7rXSLyHifXCoiIiEgexRC4m378+HFccskl+Nd//Vf+fpVE7e3tmDlzJgBg9+7dGDJkCGMNwDgyY8mK09LSgltuuSViASEpKQnPPvssRo4cKSxOU1MT7rvvvh7HH3nkEYwbN05YHJPXzpPMWMwTY7kVR2Ys5ikxYjFPjOVWHJmxmKfEiMU8JUYsL+ZJZiwv5kkW2de7srDuDfw4MmN5MU8yYzFPiRHLa+OTbCy/wcF+nm/5xteRLOApqJ3hMJ797w8AsO6QGDL6o37X/M7OTvz5z3/G0aNHI47zznmiwSMzMxN+v9+6C0JRFPj9fqEb8wAwfvx4jBkzJuLY2LFjE3qhgoiIiIiIiIjXu0REREREg0u/N+dVVcXs2bOxd+9e69iwYcPw5z//mXfNEw0iRUVFSE9PBwCkp6fD7/c7EqesrMz6TVBVVbFy5UpH4hARERERERHJxOtdIiIiIqLBo9+b85qmYeTIkQiFQiLTQ0QJJjU1FcXFxcjIyEBxcTFSU1MdiZOWloaioiKoqoqioiKkpaU5EoeIiIiIiIhIJl7vEhERERENHknx/M9z587F9u3bcfXVV+Occ84RlCQiSjSTJ0+W8sSM+fPnY/78+Y7HISIiIiIiIpKJ17tERERERINDXJvz4XAYPp8POTk5uOKKK5CZmdnjrllFUXhxQUREREREREREREREREREg1pcm/M/+9nPrH9/9dVXY/433JwnokRTV1cHn88HXdfdTkrcamtrUVVVhenTp7udlISnaRpKSkowa9Ys5OXluZ2cAY91TxxN06BpGurq6jBjxgy3k5NQ3Ci7uro67NmzB4WFhZ7oK5zs+9zoJ5yuE7Lz5KU5C1FfOBYSERERERGRV8S1Of+b3/xGVDqIiAaM6upqqKrqdjKEqKqqwpEjR1BdXe12UhKepmk4evQoqqqqPLHh5jTWPXE0TYOqqqiuruaGxGlyo+yqq6s91Vc42fe50U84XSdk58lLcxaivnAsJCIiIiIiIq+IayUnMzPzlP6IiBJJQUEBwuGwJ+5CKywsxIgRI1BQUOB2UhKerusYPnw4CgsL3U5KQmDdE0fXdYTDYZZlP7hRdgUFBRgxYoRn+gon+z43+gmn64TsPHlpzkLUF46FRERERERE5BVCbrP4v//7P1RXV+P555/H0aNHAXRfPP/973/nQhERJZycnByEQiFP9F95eXl4+umnkZOT43ZSEp6u69i4caMn7oSVgXVPHF3//9m77/go6vx/4K+Z2ZZKCSEJMUoJGIp0QmIgBMICKeBiuSggiAKiNPHQs92pp6d+T34oiKcnh9hQoucRJAVYAxiMoTdpAlKMmNAhCckm2Zn5/RFn3U12N+0zm8L7+Xjkkexsdl7zmflM/cx8VkRFRQXNywZoinlnNBrx73//u9VsK9Tc9jXFdkLtOuHpMrWmYxZC3KF9ISGEEEIIIYSQ1qJR3drLsow33ngDq1evhtVqBcdx6NGjB4KDg1FaWopRo0Zh/vz59J3zhLRyY8aMsf29adOmFp9DCCGEEEIIIYR48hyUzqsJIYQQ0hLk5eXh3XffxZw5cxAdHd3Uk0NIi9SoJ+f/85//4JNPPsHDDz+MVatWQZZl23t+fn4YM2YMHegT0solJia6fc3KAw884PY1IYQQQgghhBDCyiuvvOL2NUuvvfaa29esfPrpp25fE0IIIYS4Y7FY8M477+DChQt45513YLFYmnqSCGmRGtU4/9VXX8FkMuHJJ59EREREjfdvv/12nDlzpjERhJBmzmq1un3NyuXLl92+JoQQQgghhBBCWNm2bZvb1yxt3brV7WtWqHGeEEIIIY2xZs0a23X5y5cvIzU1tYmniJCWqVHd2hcUFGDAgAEu3/fy8kJJSUljIgghzZh9d3jVh7PsNcNTOYSQupFluc53xtr/X33upjUYDOA4TvUsJQeoe7moTDWzPFkm0jJ4qk54cnvkSZ5adz2JtkeEkJZk7NixLodv3LiRada4ceNcDt+wYQOznHvuucfl8K+//ppZDiGEEPbqc4zbmOPV+uQ0Nos0XFMtp3PnziE1NdXWg7Ysy0hNTcXo0aMRGhra6PG3NrQ+EXc42b4v+nqKi4vDxIkTsWDBAly9ehXR0dFYtWqV7Xsm/vrXv2Lnzp3MT1zIHxYvXozc3FxUVFSgsrISc+fORUZGBkwmExISEphmmUwmSJJk2/jyPA9ZlhEeHo4lS5Ywy1m8eDG2bdsGWZZtWRzHQaPRYObMmczKlZWVhVWrVsFisTjkAIBer8dXX33FJAcAnnzySZw8eRIAamSxnH9ZWVl4//33a8w7RWxsLBYtWsQka8KECXC1+ZBlGU8//TRiY2MbnXPgwAE8//zzLndMbdu2ZXa3/yOPPIKLFy8CqLmceJ5HWloakxygav45y1F88803THImTZpku0nKWRarHMB9mVivU+6yPFUmjuOwbt06Jjm1LSdfX198/vnnTLKUMrnKqsv8Kysrw1133eX2f7RaLXjedQc9siyjoqLC5fvr1q2Dl5dXnbJ0Op3LbURdc4C6lYtFFpWp4Tl15althCez7rrrLpf7d5bbiMWLFyMnJweA8zI99thjdToWa051j9X2qC7cHfMBda8TjZ1/kiShsrLS5WfrUyal7gE1y6TRaPC///2vTuNpTnXCk9sjZR/vrD6wPL5kVffqwt12j+W5TW3bI5ZlUrLULlNWVhbee+89AOqfb7jLYrnfANzXCZbnoO6OmVnmFBQUYMaMGU73HbIsY8WKFQgJCWGS9corr2Dnzp1O35NlGf/5z38QHBzc6Jxr165h8uTJLsv02WefoW3bto3OAarq3r///W+H60e+vr64ceMG8+tHyjl89foQGBiIlStXMsvJyspCWloakpKSsHz5cmi1WgiCoEqWck1MkiQAVWVSbj5jPf+ysrKwevVqXLt2DaIo4rHHHlPlmqKSc/36dUiShHbt2oHjOEyaNIn5tUtlf6jMv1mzZjmcA7Oi1ImuXbvaetXQarWIiYlhti2yz1q7di3OnTsHjuNUK5Pim2++wQcffABZlhEaGoqJEycyX07K9WzleNVTZRJFEf/73//qdSxXV2peo5dlGQsXLsSRI0cAAIIgQBAEiKIIURRr/H/v3r2xZMmSejfyVc9RuMtraJYz9sfx9T3mvpnUtz4AbJaTLMuYPXs2fvvtN1itVluWIAjo378/XnvttTqN3345z+jSGVoX5+rHbtzAoeIS9PHzRYSPj9txVkoS/nP6DIDmU3dcrU8KZ8uN5fpEGkY5ZgH+6Lk5LCxMlX1ho7q1NxqNWLNmDfLz823DlIrz/fffY+3atS7vACZs5ObmQhRF2wlWeno6CgoKmJ7UK5ydGACwXQRiJTc31+HESqlTVquVabnS0tJsdy7Z5wBAeXk5sxzAcR5Vz2I5/9LS0pzOO0Vubi6zLFmWbRnOfl599VUmOU899ZTbnGvXrjHJAWBrmAdqzj+l/rPmbDmxZN97idpZ7nJYr1PusjyV04h722qobTmp1QuNmvOP53m36y7LXE/leDKLysQ20xPUznK3f2e5jbA/VnCWxfJYzFN1wpPbI3fHfKy5K4+7mxHqy35/V71MrL/OqDVuj5T109m4WR5ferLuuctheW5T2/aIJSVL7TLZb0PVPt9wl+XJY0uW56DujplZ5kybNs3tvmPatGnMsnbu3Ol2ezR16lQmOVOnTnVbJlY5QFXdq3796MaNGwDYXz9SzuGr1wf7c3sW0tLSUFBQgPT0dABw2M+yzlKuidmXSa3rb2lpaSgqKgLP8xAEQbVrikqOcoxSVFSE69evq3LtUplHSpayzFhT6sT27dtt65Yoiky3RfZZhYWF4Hle1TIp0tPTbVmFhYWqLCflerbay0mhlEm5qUYNal+jt9/GCYKgWnmcHW+pmUcaxlP1wV5+fr7tJiH7LFEUsWfPHoc2QhYOFZegWBRxqLjl9szt7vyF1qvmSTlmKSoqst1Aoda+sFHd2s+fPx87duzAXXfdhcGDB4PjOKxYsQJLly7F/v370bNnT8yePZvVtBInYmJibHflAUBycrLtrjzWeJ53+eQ8SzExMS6fnGdZLpPJ5PbJeZbCw8PdPjnPislkcvvkfExMDLMsjuNcNk7KsowXXniBSc6bb76J559/3uX7rO7uB6rueHf35LwaXD05z4qvr6/bJ7LV4OrJeU9leSqHZWZty8nX15dZlj0W82/itD9Do9HWGL7n+yz8dvYnl5/T6gyYMGWhwzCrtRJrP/5/Lj9z3/RF0Gh1NYanffo2ZNn5BW2O4/DArOcccyor8NWqxS5zAGDyrL84zUpd+abLz+j0Btw/4+kaWas/+D+Xn5n22LNOc9x9huM4PDL/xRo5H7/3usvPAMCMeS9A6yRr1b9ec/kZXhDw2JN/dxhWWVmB/7zj+gas2U/8zWnO2jUrceligdPPcByHeU85jrOysgLvv/13p/9fV57aRngiS9nvqr2NiImJcfukakOOxV585U3odDX3A6+8+LST/67i5eWNv/3dcX2rqCjHy399yuVn/vHGEqc5X675DD8e3Ofyc23btceipx2PWyoqyvH8M0+6/Iwr7o75Guqtt5c73Y8+uXCey88MHDgYD059yGFYeXk5Fj4xt9759sd8zp6cb4j331/htEzz589x+cR/+/YBeO21NxyGlZeXY/bsmS5zVq5Y6TznifkoLS11+hmO4/DZJ5/VyHlk5iMuc9xR9vGunpxnRY26VxtXT5mzUtv2iCUlS+0ymUwmt0/Os+Quy5PHlizPQd0dM7PM+fjjj90+Of/xxx8zy4qMjHT75Pwnn3zCJOeTTz5x++Q8y++eN5lMbp+cZ0k5h3f25DxLJpPJ4cl5SZIcnpxnSbkm5urJeZZMJpPDk/NqXVNUcqo/Oa/GtUtlf6gcNycnJzPPAP6oE/ZPzms0GqbbIvss+yfn1SqTIjk52eHJeTWWk3I9u7KyUtXlpFDK5OqpYhbUvEbPcRyWLFlie8jMbDZj/fr1+PXXXwEAqampMBgMtv9vaNfY1XOAqq9+mjRpEgBg+vTpSExMdPgMdcPtec7qQ3p6OsaOHYt///vfANjVCXthYWEIDQ3Fb7/95rAuCYKAAQMGICwsrFHjr66Pn6/tyfmWyNn6BFStUykpKRBFESEhIRg/fjyMRiMAWp+aA+WYBfjjyflOnTqpsi9sVLf2QFVl+vDDD7Fx40acPXsWkiTh1ltvxbhx4zBjxgyHjQBRhye7fGmNWVSmhnP1XfAAPPKd86xzFK1tOXkyi8p0c2TZf/a+R55x2rjcENbKCny18g2HabLPemDWc04bfeursrICX3zwmkMO4FiuaXP+yizr43dfcciyz3lk/ovMclYue9khB3As02NP/h1aHYOsigq8t+RvDln2OfOeepVZzjtvvuCQUx8tZX1qjjkssuw//4//W8bkJq3y8nI8/5f5DtNkn/PmkneZ3QxWXl6Op56c45BVHyzn37/eWwG9vvHnVOXlFjz+2Ewm09TYz69a9QmT80SLxYLp06c6TJN9zmeffMYsZ8rUKQ459dGS1t3mluPJrNZYJk9mtbYyjR071unN6BzHqfKd8856TuB5nvl3zhcXF9cY3qZNG6ZfQaagutf8czyZ1RrL5MksKlPLyKIytZys1sgT8+/cuXOYMWOGQ+O8RqPBf/7zH3Tq1Kne0+muW/v6aI7d2rtC9bxl8MRyanTNNxgMePzxx7Fu3Trs378fBw8eRHp6OubOnUsN84S0cq4axlk3mHsqhxBCCCGEEEIIcdUAz7phHoDLBniWDfMA8PXXXzsdrkbDPCGEEEJan9DQUKSkpNie7uY4DikpKXVumCeE/IFZv2mXL1/GwYMHcfDgQdvj/oSQ1q96d6YN7d60NgEBAW5fE0IIIYQQQgghrAwfPtzta5bi4uLcvmblwQcfdPuaEEIIIcSd+++/33ZdPiAgACkpKU08RYS0TI1unM/Ly8Pdd9+NYcOGISUlBSkpKRg2bBjuvvtu/PDDDyymkRDSjCnfZePqNStffPGF29eEEEIIIYQQQggrTz31lNvXLD333HNuX7NCjfOEEEIIaQyDwYB58+ahY8eOmDdvHvWeTUgDNeoRV7PZjAULFiAgIAAzZsxA586dAQCnT5/GunXrMHPmTLz99tswGo0sppUQ0gzNnTvX4fW8efOQlpamShZ1Y08IIYQQQgghxBPWrFkDjuMgyzI4jkNqaiqmTZumWp6nznfpvJoQQgghjREdHY3o6OimngxCWrRGNc6//fbb6N69O1avXg1fX1+H92bPno0HHniAGucJacVSU1NRVlbmMKy0tBSpqanUpQ0hhBBCCCGEkBbp3LlzSE1NhSzLAABZlpGamorRo0cjNDS0iaeOEEIIIYQQ0pI1qlv7/Px83H333TUa5gHA19cX9957L3799dfGRJB6EAQBCxYsQFZWluo5Op0OZrNZ1RzSvFmtVqxcuRJarRZ6vR46nQ56vR5arRYrV66E1Wpt6klsEWh9ajiz2Wyrd61h/mVlZWHBggW2Mi1btkz1LEEQVMsgjXfs0B58/dm7OHZoT1NPiioOHdiF1SvfxqEDu1TNUY6PFi9ejEcffZT5cdLNsD6ZzWZV5l1r56l9/LacrXjpxeexLWerqjmtTfbmbPz5qT/j3X+9iz8/9Wdkb85u6klqNNoetUytsUwtnSzL+Pvf/w6NRuOwPsmyjOXLl9sa7EndeOpaFWk82h4RQgghhHhGoxrnu3btiitXrrh8//Lly7au7on6BEFAYWGhal2K2+fwPI/09HRVc0jztnr1agAAz/PgOM72w/O8w/vEPVqfGi49Pd1W/1rD/EtLS0NhYaFtXdq+fbvqWa354n1rcHj/dhRfv4LD+9WrC03pwO5cXL92BQd256qaoxwf5ebmoqCggPlx0s2wPqWnp6sy71o7T+3js7PNuHjxArKzW/6Nap6UmZWJ8+fPY+eunTh//jwyszKbepIajbZHLVNrLFNLl5+fj3PnzoHjOIf1SRRF7NmzB/n5+U04dS2Pp65Vkcaj7REhhBBCiGc0qnH+qaeewpo1a/Dtt9/WeM9sNiM1NRV/+ctfGhNB6kEURQQHB8NkMqmeI0kSkpOTVc0hzdvkyZMBAJIkQZZl248kSQ7vE/dofWq45ORkW/1rDfPPZDIhODjYti5FRUWpniWKomoZpPF694+CX5v26N1fvbrQlPoNjkGbtu3Rb3CMqjnK8VFMTAxCQkKYHyfdDOtTcnKyKvOutfPUPj4+3ojAwI6Ij6evEquPxIREBAUFIXJIJIKCgpCYkNjUk9RotD1qmVpjmVq6sLAwhIaGQpZlh/VJEAQMHjwYYWFhTTh1LY+nrlWRxqPtESGEEEKIZzTqO+c//fRTtGvXDvPmzUPHjh1x6623AgB++eUXXLhwAZ07d8Ynn3yCTz75xPYZjuPw3nvvNW6qiVOiKGLp0qXw8vJSPUcURRiNdAHwZqbRaPDII49g5cqVNd6bNWsWNJpGbV5uGrQ+NZzRaMTy5cttf7d0CQkJiIuLw1133QUAmD9/vseySPMU0WcQIvoMaurJUE2ffkPQp98Q1XPUPj66GdYno9GICRMmNPVktDie2scPj43D8Ng4VTNao/hR8YgfFd/Uk8EUbY9aptZYppaO4zj87W9/w4wZMxwa5zmOw9y5c8FxXBNOXcvjqWtVpPFoe0QIIYQQ4hmNenL++PHjqKioQEhICARBwLlz53Du3DkIgoCQkBCUl5fj+PHjNX5uJnl5eZgyZQry8vKaelIIYS4lJaXGCba3tzfuvfdeVfLGjh2LMWPGYOzYsaqMnxBCCCGEEEIICQ0NRUpKisOwlJQUdOrUSbXMhQsXYsyYMVi4cKFqGQAwadIkjBkzBpMmTVI1hxBCCCGEEOJcox5t3bx5M6vpaJUsFgveeecdXLp0Ce+88w4GDBgAg8HQ1JNFCFNTpkzBihUrbK/V6s4+IyMDsiwDAGRZRkZGBpKSklTJIoQQQmRZhsViqdP/2v9fXT9jMBjoyTtCCCGkGevVq5fD6549e6qWlZ+fj8OHDwMADh8+jPz8fFW6zz9y5AguXboEALh06RKOHDlSo5yEEEIIIYQQdVG/0ypas2YNLl++DAC4fPkyUlNTMW3atCaeKkLYsm+YV17fd999zHOWLl1a4zU1zhNCCFGLxWJpUNfQ1Z+yc2XdunXUvSshhBDSjL3wwgs1Xm/atEmVrLlz5zq8njdvHtLS0pjnVH8qf+HChdi4cSPzHEIIIYQQQohrTBvnr1y5gvvuuw+LFy/GgAEDWI66xTl37hxSU1MdnvRNTU3F6NGjERoa2sRTRwgb1S8g2A9XvguchenTp7scvmrVKmY5hKhB7advgT+ewKUnfQlpmeq67jb3bYR9FmkZaL/ROK1l3bVfTq2lTPZZrRGtu+p79dVXXQ6v3mjfWKmpqSgrK3MYVlpaitTU1Drf9FcXb731lu0alUKWZbz11luqd6VPCCGEEEII+QPTxnlJknDu3Ll6nTC3RpmZmfjwww/B8zxEUbQNl2UZy5cvx2uvvcb0RPfZZ5+FXq+vcZKlFkEQIAgCzGYzJkyYoErG4sWLkZOTA71eDwBYtmwZTp06BZPJhISEBKY527Zts+U8++yzuHz5MmRZxuTJk5llKeUBAJ1OB47jMHnyZMycOZNpeZQs+zKlpKQgNjYWixYtYprzxhtv4OzZs7a6Z1+nT58+jdLSUnh7ezc6p6SkBBcuXLCVx96lS5fwxhtv4Jlnnml0DgBkZWXhvffeAwCH+QcAgYGBWLlyJZMcJWvFihU1ctRYVs7qBFBVxq+++opZzpNPPomTJ0/WyAGA8PBwLFmyhFlW9W1ESkoK8wzFsmXLapSJ4zjMnj27TutvXZ6+FQQBGk3VLlnJmjp1KoCqfUdFRYXbzytP4NY1SxAEp1lWq9Vhv+Uqpy52ffcNfj19zOl7Xj5+GHffY3UaT12cPLoPB3duhtVaabvgz/MCtDo9eg8cjvCe7G4YPH54D/Zu3wxrZbVlwnGY8uhzzHK+2/Q/nD5x2Ol7Pr7+uG/aAmZZq1e+hRvF152+1+32PohPuJdJzlefvY+L539z+p6vXxtMnfVnJjmA8+2RUjcasq148plXoNXpnL73xcf/xgUn5fLza4OHH3vSYVhlRQWWvPHXGv9b16f0dTqd6tsIANBqteB5Hrrfy6xkAWy3E++9sxjnzuXbXivLKDQ0DI/NY7sv/PyzVTh4YD/82/jj2tWrDu/1HzAIk6Y4vxGwIZT6pxzzKfsO1vupbTlbkZ7+DUpKim3DOI6Dj48vkpMnYHhsXK3jqM9+g+M4W/2bMmUKKisrax1/Q3qI2LJlMzZsyMK4cQnIyfkOZ86cBgAMHRqF2bMfr9e4XMnenI1VH/1xg2eXLl1w+vRpcByHqKFRmPP4nDqNpz77eGXePfjggwAAURTdrktA/ffv9scSsiw3aP/ekDLZb49qK1d9t0fKemS/PapLTvVy1YXZbFb9vBCouY2YPHmybX5OmjSJ2fGlsi0H/piPU6dOrbU+APWfd1lZWVi9erVt/s2ZMwdarZb5+TvgmWsF5eXlyMvLq3EOKssycnJyUF5e7vT8tCGsVis++ugjWx1X9oWiKGLlypW45557bOt2Y1RUVODbb791OH+XZRmyLCM7Oxvh4eEYP358o3OAqmX0/fffQ6fTQavVguM4zJw5k/m6pDCbzdDpdJBlGQsWLMDEiRNVyVF44pqYPbPZjIyMDFXWJ2X8yjaitZVJlmXMnDkTAFSrf62Vp+t5a5CVlYW1a9farrd4YntECCGk5eKbegJao6+//hoVFRU1GuBFUcSePXuQn5/v4pMNc+rUKXAc57E72wVBAM/zSE9PVy0jNzcXAGzl2r59OwoKCph365abm2s7MeU4DqdOncL169dRVFTENEspD/BHmaxWqyrd1FUvU/V8Vn744QdbBs/ztr+V1/Pnz2eSM2vWrBrjt//54YcfmOQAcFge1depixcvMstRsqxWa40cNZaVszoBVF10YunkyZMAas47+/dYqb6NUCNDsX379hplkmWZ6fqrNHq4+mFJ2YY7y1FOIlk4d+a4y/fKbhS7fK8hjh/aCau1qpFIuVFNkkSUW0px/NBOpllHD+yo2TBfFcw058zPR12+d6OkiGmWq4Z5ADh94gizHFcN8wBQ4mYaGsLZ9kipGw3ZVmh1Ouh0eqc/zhrmAaC4+HqN/3XVwF9XnthGALBtI5xtK5huJ845HhMry6j6cBYOHtgPSRJrNMwr77Hkan/Iej+VnW12aJgHquZhSUkxsrPNzHKc7TeUBj81bNiQhQsXzmPDhixbwzwA7N69i1lGZlamw+vTp6tyZFnGzl1s9xvO9vE8zzNdl1zlqLHeustSo1zVx69WDgCkp6erfl4I1NxGWK1WWCwWXL9+nWmWJ473FGlpaSgqKrJlXLp0SZXzd8Az1wpefvlll/NPeZ+V1atX19jO2tfx1atXM8l58803nW7LlZ9PPvmESQ5QtYwkSYLFYrGNX411SZGenm7LKSwsVC1H4YlrYvbS09NVW5+U8St1o7WVSal7ata/1srT9bw1SEtLQ2Fhoe3GBk9sjwghhLRc9J3zKrjnnnvw4YcforS01GG4IAgYMGAAwsLCmOZ17doVP//8s8eenFfusk9OTlYtIyYmBjk5ObYyRUVF2e6GZ52zbds2SJIEAOjWrZvtCQmWWUp5gD8uPCtPErBWvUwcxyEmJoZ5zp133mm7MFL9yXlJkrBs2TImOR988AFSUlJcXgRmWTaTyWR7cl5ZTkq5AgMDmeUoWStWrLA9dabkqLGsnNUJAMye9lCEh4fj5MmTNead8h5L1bcRHMcxz1BERUXh+++/t+Uovxuy/o5LWQBBo60x/NdTh3B8/3dOt+P+7TsiclTN7ixFayU2pC51mZU8eSE0TrJ+Ofkjzvy0FxXlFlgr/7hBg+cF9Bo0EreG3+Hw/1ZrJdJXv+W2XM6Edu7h9sl5lnr0iXT55HyPPpFMs3r2G+ryyXmWOnfr6fbJeZZ8/Nq4bKDv0r0Xs5zAoE5un5xnydn2SKkbrLcVQSGhOF9wrsZwP/+2DRrfU8//w/b0XHUfvLsYxUWOyyo4JBRTptfsiaKiogJv/uN5lznPv/h/LnPW/W8Njh45CI1GC1G02vYfgiBgbKIJAwcNrZH1j5f/4rZczoSGhrl8cp61vv36u3xyvm+//kyzXO0PWde9+Hijyyfn4+ON9R7fO8vfc3ps8P33OcjMSIfFYoHVagUADBo8BA899LDT8ZSXl2Pe3Ib3jjJuXILTJ+cHDx7S4HFWl5iQ6PLJ+cghDdtvfPzhKhgMhhrDN2/ZgtQvU2H5/abIDgEB0Gg0GDd2HEaNHFnj/y0WC6Y97Lonh08/+shpTvbmzfgiNRXl5eUw6PWQJAkVlVX7xYcfegjxo0bVyHnwoYfclumzj91nWSyON3pqNBo8OHmS06wp01xnfbbqQ6c5ALDgz4tw+coV+Pr4gBcEVFZUQKvT4d6JJsS7mH9Tpjuvm7VJTk7GihUrAKh3XgjU3EZotVrbk/MNyfpw+XIYnKy7//7oI+zYswdA1ZPzlZWV0Gg0eOCeezBy2LAa/28pL8fDLr62rDYmkwmrV6/G9etV+6jAwEBVz3fVvlbw4osv4u67765xDqpkvvjii8yyJk+ejDVr1tTIUa67TJ48mUnOU089hYkTJ4LneYevX1TO5e17yWmsmJgY25PzN27cAMdxaNu2rSr1Aahadz/44IPfjyFCVctReOKamL3k5GTbU+Zqjf+DDz4Ax3GtrkyyLKNdu3YAoHq9aG08Xc9bA5PJhLVr19oeyuvUqRPVO0IIIS4xbZz39vbG3LlzmTc+tzSJiYno168fZsyY4TCc4zjMnTuX+RNOr7/+ep26BGRF6ULQaKz/Rb+6WrRoEebMmWMr1/z58+vdJWZDcl5//XXVchYtWoSysjJb1pdffumRMjWkO9G6eOaZZzB37lwcP17z6diIiAgmXdoDgK+vLzp27Ihz52o2fISFhTHr0h4AEhISkJCQ4LCc1Jp/CQkJiIuLUz0H8FydWLJkiUfmHeC5MgFV25/s7GwmOYJGC422ZmNY59sHovPtAxs8Xmc0LrK69hyErj0HMc1yZsiICRgywjPd34X3HMC063p3evQehB691Z9/I8bcjRFj7lY9BwAmP+KZ7xi9b8psj+QAnt0eTX1kHtPx6X5/St+ZuQtdN7Y3KMfFTVr3PTCNWY47rLuud2fSlOmYNMUzWZ6qf8Nj4+rUdX1d6fV66PU1G0jj48cgPn4Ms5zajBw5CiNHjrL9rYb4UfGIHxXPdJwGg8FpA3NiQgISGXZn6ionKTERSYmJzHI8meUqBwD+/e5yZjm1MRqNWL68Kk+t80Kg5jaiseeFBr0eBkPN7fmC2Y82eJz1Vf3c5t133/XYeYAa1wr0ej2io6NtN9jbi4uLY3qTs0ajwUMPPeT0K9RmzZrFpEt7oGq/P3r0aGRlZdV4LykpiVmX9oDz6x8rVqxQrU7Yr7tLly5VLUfhiWti9oxGo6rditvPv9ZYJjXrXmvm6XreGlTfF3pie0QIIaTlYtofodI4f8stt7AcbYsUGhpq+35ToKphPiUlBZ06dWriKSOEHeVkpzpWT80rVq1a5XQ4y++AJ4QQQgghhBBCAOCFF15wOvy5555jnpWSklKjAcfb2xv33nsv05yFCxfWeFiE4zgsWLCAaQ4hhBBCCCHEvUY1zh89erTGd89s27YNkydPxn333YePP/64URPX0t1///0ICAgAAAQEBCAlpWa3xIS0dM8++6zb16xUv2BAFxAIIYQQQgghhKjln//8p9vXLFW/8f2dd95RJeett95y+5oQQgghhBCivkY1zr/55pvIzMy0vc7Pz8fcuXPx66+/AgDeeOMNpKamNm4KWzCDwYB58+ahY8eOmDdvnsuu+ghpyaKjo92+ZiUpKcmhJ4qkpCRVcgghhBBCCCGEkIiICIdz0IiICNWywsLC0Lt3bwBA7969Vfu6yF69eqFDhw4AgA4dOqBXr16q5BBCCCGEEEJca9SXVx07dgyPPPKI7fW6devA8zzWrl2L9u3b44knnsCaNWtu6ifGo6OjVWusJKQ5WLNmDTiOgyzL4DgOqampmDZNne+q3bhxoyrjJYQQQgghhBBC7K1Zs8bhtZrnuoDnnmL//PPPPZJDCCGEEEIIca5RT84XFxejbdu2ttffffcdYmJi0L59ewBATEwMzp4926gJJIQ0X+fOnUNqaipkWQYAyLKM1NRUnDt3romnjJDaybKMsrKyWn8sFovtMxaLpU6fKSsrs60XhBBCCCGEkJaFznUJIYQQQgghamnUk/OBgYH4+eefAQAXLlzA4cOHcffdd9vev3HjBni+Ue3/5CaUlZWFtLQ0h27LzWYzMjIyYDKZkJCQwDTPbDZDp9NBFEWm421KniiTLMs1vhdPEAQIgoC///3veP/9921dABLSHFksFtx11131+syUKVNs+zVJklBZWenyf9etWwcvL696jT//5AGc+PEHcADC77gTAHDm2B50jhiEsPB+9RqXO2eP78fPR3ejW8/BuK1Hf2bjbWonj+7D8UM70aNPJMJ7DlAt5/jhPTiwKwcAEHJLZ1y+UICe/YaiR+9BTHOOHdqDfTu2guMAH982uHL5PDp364kRY+6u/cONdOTgLhzcm4e+A6PRq+8QZuM9dGAXduZmA+AQGTMKAHBgdy76DY5Bn37scgBg2bJl0Ov1kCSJ6Xib2t7dediZl4PI6FgMHMy+d6bdO39AXu5WRMfEYXDknczH31TyftiGnO82I3bEKETfOVzVrKysLKxduxaCIAAAFixYgIkTJzI/ht2WsxXp6d+gsrICWq0OyckTMDw2jmmGve++24JvzRsx2jgWI0aMVC1HsWXLZmzYkIVx4xIwcuQo5uPP3pyN/379X1RUVECn0+Hee+5F/Kh45jnmb8348qv/Ahzwp3vvxdFjx7B9xw5EDR2K+XPnMc8DgE1mM9ZnZGB8UhLGGI2qZFS30WzG+vQMjE9OwlgVMzeav8X6zAyMT0zCWONo1XJIwyjng2azGRMmTGjqyWkwOtclhBBCCCGEqKlRLefx8fH47LPP8Oqrr2LOnDnQ6XQw2p2I//TTT6p9TxZpvdLS0lBQUID09HTbsPT0dBQUFCAtLY15Xnp6Oniet11AbQ08Uab8/Hzs2bPH4QYAQRDAcRzOnTuH/Px81bIJaSo8z4PjOHAcp8rNZ2eO7UFleRkqystw5tgenDm2B6Ul13Dm2B6mOT8f3Y3S4mv4+ehupuNtascP7URJ0VUcP7RT1ZyjB3ag3FKKckspzp46huKiqzh6YAfznMP7t6PcUgpLWSkuXyyALEk48/NR5jnOHNybh6JrV3Bwbx7T8R7YnQtLWSksZTdwYHcuDuzOxfVrV3Bgdy7THADYvn27autqU9qZl4OrVy5jZ16OKuPPy92KK5cvIS93qyrjbyo5323G5UsXkfPdZtWz0tLSUFhYaGvIKSwsVOUYNjvbjJKSYpSXl6OkpBjZ2WbmGfa+NW/EhQsX8K3ZM18ztGFDFi5cOI8NG7JUGX9mViaKi6vmX3FxMTKzMlXJSc/IRFFxEYqKipCekYntO3ZAFEVs38F+v6FYn5GBwsJCrM/IUC2jRmb675np6mauz8xAYeF5rM/0XNlI3QmCAJ7nHc7lWyI61yWEEEIIIYSoqVFXK5944gkYjUasW7cOly9fxuuvv44OHToAAEpKSrBhwwbExMQwmVBy8zCZTAgJCUFycrJtWHJyMkJCQmAymZjnJScnQ5KkVvXkvCfKFBYWhkGDBjk0eoiiCFmWccstt9CNOaRFGXXvPBjvf9Llz+iUhRidshAdb+lu+0zHW7rX+L9R9zbuCbjOEYOg1XtBp/dC54hB6BwxCN6+bdE5gu0T2d16Doa3X1t06zmY6XibWo8+kfD1b4cefSJVzenZbyj0Bm/oDd64rWsE/PzboWe/ocxzevePgt7gDYOXNwICQ8DxPDp368k8x5m+A6Ph37Y9+g5k+2R2v8ExMHh5w+Dlg36DY9BvcAzatG2PfoPZHy9GRUVBluVW9+R8ZHQs2rUPQGR0rCrjj46JQ/uADoiOiVNl/E0ldsQoBHQIROwI9k9gV2cymRAcHAxRFCGKIoKDg1U5ho2PN8LX1w96vR6+vn6Ij1f3CenRxrHo2LEjRhvHqpqjGDcuAR07BmHcOLY9DigSExLh51c1//z8/JCYkKhKTnJSIvz9/OHv74/kpEREDR0KQRAQNZT9fkMxPikJwcHBGG/XE5naxif/npmsbub4xCQEBwdhfKLnykbqThRFSJLkcC7fEtG5LiGEEEIIIURNjerW3sfHB//v//0/p+95e3sjJycHBoOhMRHkJpSQkICEhASUlZXZupIzGo2qdYtnNBprdFnX0nmiTBzHYe7cuZgxY4ZtmCiK4DgOf/vb36ibP9KiCBotNBpdrf/XJ1rdC41h4f1qdF/Psjt7xW09+req7uwV4T0HqNqdvaJH70HMu7B3JqLPIET0UT/HmV59hzDtzl7Rp9+QGt3Xs+7OXjF//nxkZ2erMu6mNHBwtCrd2SsGR97ZqrqzV0TfOVz17uwVCQkJiIuLs311ytKlS+v9NSd1MTw2TtVu7KsbMWKkR7qzV4wcOUqV7uwV8aPiVenGvjrjaCOMo40Or9Xqzl4xxmj0WHf2irFGo6rd2f+RM5q6s2/GlJuSjA2oC7Isw2Kx1Ol/7f+vrp8xGAx1Pkelc11CCCGEEEKImhrcOF9WVoa4uDjMmjULjzzySI33eZ6Hn59foyaOENK8hYaGIiUlBV988QVkWQbHcUhJSUGnTp2aetIIIYQQQgghhLQQFovFdlNTfaSkpNTp/9atW1evG6XoXJcQQgghhBCilgZ3a+/l5QVBEOjJeEJucvfffz8CAgIAAAEBAXW+ONIQH330EcaNG4ePPvpItQxCCCGEEEIIIcST57qEEEIIIYSQm0ejurUfM2YMNm7ciEmTJlG3XoTcpAwGA+bNm4d3330Xc+bMUe2GnevXr2PNmjWQJAlr1qzBxIkT0aZNG1WyCCGEEEIIIYQ0jX+/+U/o9Xq3/yPLMgC4vRZVXl6OR596usHT4alzXUIIIYQQQsjNpVGN80lJSXj55ZcxdepU3HfffQgNDXV6stK7d+/GxBBCmrno6GhER6v3/bcA8NJLL0GSJACAJEl4+eWXsWTJElUzCSGEEEIIIYR4ll6vh6GWxnlP8cS5LiGEEEIIIeTm0qjG+QcffND29+7du2u8r3wv19GjRxsTQwi5ye3duxeHDx92GHbo0CHs3bsXAwcObKKpIoQQQgghhBDSWsiyDIvFUqf/NRgM1IMkIYQQQgghpEEa1Tj/+uuvs5oOQmowm83Q6XQQRVG1jKysLKxduxZarRYcx8FsNmPChAmq5XmyTIIgqJrjKZIk4bXXXgMACIIAjUYDWZYhiiJee+01fPnll+B5vomnsv6qLyez2Ywvv/wSHMdh0qRJSEhIYJ6p0+nAcRwefvhhWCwWxMTEYNGiRcxzFGazGRkZGTCZTMzLs3jxYnz//ffQ6/WwWq0AquZpWloa87xzPx9E/om98GsXhKsXfgEAdOkVjdBufZllAMCBHzJwPv8E9F4+sJSVQBA0uL1/LMLC+zHNAYCzx/fj56O7odXqUXT1IvzbBaKyshzdeg7GbT36M8s5fWwfThzehe69hwCA7e8uEQOYZShOHt2Hw3u3AQC8ff1x7coF3NI5AtEj1dumq+3YoT04vH87evePAgDszjVDFK3oHN4LI8bc3cRT13iHDuzCztxsABwiY0ahT78hzMZtv40FgAULFsDX1xenT59mvu1bv/YLHD/6I3r0vAPjJz7AbLzV7d2dh515OQjpFIaC3/IRGR2LgYNbz5N8X37xMQ79uB8hIaGwWMoQM3wkIqOGMRt/3g/bkPPdZoSF3Yr8/F/g5eWF386dQ99+/TFpynRmOYDzfbxa+8NtOVuRnW3GbbfdhrNnz9p+x8cbMTw2jmnWd99twbfmjRhtHIsTx49j797dGDhwMGbMfJRpjuL99/+F3bt3YfDgIZg9+3Hm48/enI3MrEwkJiQiflQ88/HbM39rRnpGJpKTEmEcbVQ1y1M2ms1Yn56B8clJAIDUL78CAKT86T6MNbIv40bzt1ifmYHxiUkYaxzNfPyAZ87VmiKrKai53VOLLMtYuHAhjhw5AqDq3FMQBNtDJ8qyUrbtERERWLJkCTXQ10KZj2pfayGEEEIIIaQlaVSL1sSJE+v0Q0hDpKeng+d524V1NaSlpaGwsBA8z4PneaSnp6uWBXi2TGpmeNLOnTtRVFQEoOrEnuM42zwsKirCzp07m3gKG6b6ckpPT0dRURGuX7+OtLQ0VTI5jgPHcbhx4wZEUURubq4qOYr09HQUFBSoUp7c3FxIkgSO42zzMC0tTZW8/BN7UVZyDRd/PYHK8jJUlpch/8RephkAcD7/BGRZgqW0GJBliNZKnDm2h3kOAPx8dDdKi6/h+pXzkGUJ16+cR2nxNfx8tGYvOI1x4vAu3Ci+hhOHdzn8rYbjh3ai3FKKcksprl4qhCxJ+PXMMVWyPOXw/u0ovn4Fh/dvx+H922G1VkKWZZz5uXX0SHRgdy4sZaWwlN3Agd1st0f221hBEFBYWIiTJ0+qsu07fvRHSJKE40d/ZDre6nbm5eDqlcs4duQgrl65jJ15OarmedqhH/dDkiScO5ePy5cvIXfbFqbjz/luMy5fuoiDB/bj8qWL+DX/F0iSiIMH9jPNAZzv49XaH2Znm3Hx4gXs27fX4Xd2tpl51rfmjbhw4QK+NW/E3r27IYoi9u5lu9+wt3v3LoiiiN271dlvZGZl4vz588jMylRl/PbSMzJReL4Q6RnqZ3nK+vQMFBYWYn16BtanZ6CoqAhFRUVYn56hTl5mBgoLz2N9pjrjBzxzrtYUWU1Bze2emuwb2gVBsF0nUJaVMqy1Ljc1KPNM7WsthBBCCCGEtCQt73FTctNITk6GJEmqPk1gMpkQHBwMSZIgSRKSk5NVywI8W6bW8hRGZGQk/P39AQCiKEKWZds89Pf3R2RkZBNPYcNUX07Jycnw9/dHmzZtYDKZVMmUZRmyLMPHxweCICAmJkaVHEVycjJCQkJUKU9MTAx4nrf1ogBUzVM18sK6D4SXb1sE3tIdWr0XtHovhHVn/3UKQWHdwXE8DN5+AMdB0GjROWIQ8xwA6NZzMLz92qJN+yBwHI827YPg7dcW3XoOZprTvfcQ+Pi1RffeQxz+VkOPPpHQG7yhN3ijXYdgcDyPWzpHqJLlKb37R8GvTXv07h+F3v2joNFU9fLSuVvPpp40JvoNjoHByxsGLx/0G8x2e2S/jRVFEcHBwQgPD1dl29ej5x3geR49et7BdLzVRUbHol37AET06ot27QMQGR2rap6n9bmjP3ieR2hoGAICOiBm+Eim448dMQoBHQLRt19/BHQIxC1ht4LnBfTt159pDuB8H6/W/jA+3ojAwI4YMGCgw+/4ePZPLo82jkXHjh0x2jgWAwcOhiAIGDiQ7X7D3uDBQyAIAgYPVme/kZiQiKCgICQmJKoyfnvJSYkIDgpGcpL6WZ4yPjkJwcHBGJ+chPHJSfD394e/v7/tSXrmeYlJCA4OwvhEdcYPeOZcrSmymoKa2z21cByHJUuWYN26dVi3bh1mzZqFoKAg27WC6dOnY9asWQgODsasWbPoqfk6EkXRI9daCCGEEEIIaUka1a39s88+W+v/cBxn65KakPowGo1Yvny5qhkJCQmIi4vDXXfdZctUU1OUqaXjeR7PPfccnnnmGVsji+KFF15okV3aA87rntrd/FVUVAAAvvzyS3h5eamaBahbpkWLFmHOnDkO9TwhIUGVbjNDu/Vl3oW9M/3uVO9ic3W39ejPtPt6V7pEDHDowl6N7uwV4T0HILyneuNvChF9BiGizyCH161Jn35DmHZlb6/6Nnbp0qWqbffGT3wAULE7e8XAwdGtqhv76v70wDT86YFpqo0/+s7hiL5zeKPGUdfvIo6Li0NUVBRSUlIAAMOHD7cdY5aVlbn8XEO+v3h4bBzz7utdGTFiJEaMGGn7G1CnO3uFGl3Z24sfFa96d/YK42hjq+nOXjHWaHTovl6Nruwd80ar1p29whPnak2R1RQ8cW6jBo7jbMcLEyZMgNFotB1LJCYmwsvLq0WWqykp5/BqX2shhBBCCCGkJWlU4/yOHTtqDJMkCRcvXoQoimjfvr1HGoCas1dffRU5OTmIjY3FCy+80NSTQ4gqxowZY/t706ZNzMc/cOBA9O7dG4cPH7YN69OnD/r37888ixBCCCHEGYvF0qCbH5VG+tqsW7fupj93IoSQm9m4ceMgSRJ4nseGDRuaenIIIYQQQgghKmlU4/zmzZudDq+srERqaio+/vhjfPjhh42JaNEuXLiAnJyq7wPNycnBhQsX0LFjxyaeKkLYmjZtWo3XH3/8MfOcS5cuOby+ePEi8wxCCCGEEEIIIcTTNm3aBEmSAFQ99LJp0yaHm+AJIYQQQgghrUejGudd0Wq1mDJlCk6ePIlXXnkFH3zwgRoxzd4TTzzh8HrhwoVYvXp100wMISopKChw+5qV8+fPu31NCCGEEOIp//fmUuj1erf/I8syALjtqr68vBx/eWoB02kjhBDS8ixevLjGa2qcJ4QQQgghpHVSpXFeERERgXXr1qkZ0Wxt2rTJ6ZO+dPczaU1c1eUxY8Yw7d6eRU5dvycWgMP/1fUz9t8TW9eshuTYZ1GZGpdFCGmZPLU9IsQdvV5fa+M8IaR5oOPYhmuNZWqOZs2a5XJ4Yx92qc8yBGh5EEIIaX1oX0gIaY5UbZz/4YcfbsrvTRRFEW+99RYEQYAgCBBFEQCg0WjwzjvvoLKyEklJSczyzGYzdDqdLUcNixcvRm5uLgRBsF2IVL4/MzAwECtXrmSatW3bNsiy7JBlMBgwffp0JCQkMMt65JFHcPHixRplio2NxaJFi5jlZGVlYfXq1SguLq6RFR4ejiVLljDLevLJJ3Hy5MkaORzHYfbs2czm39SpU11elJZlGUePHkXPnj0bnXP06FHodDqXB0UpKSlITU2tdTx1+Z5Y+xylbFOnTgVQVaaKigqXn7X/ntj6ZFXPqU9WXXIEQYBGo7lpygRUdQNZWVlZp3LV5rv/LYckWV28y2HkvWyedsw/eQBHdmc7fY/nNTD+aT6THADI/PxtN2UCkqew2fadPrYP+7ebXb7fNiAII8dPc/l+faz99G1UVjg/0eI4Hvc9/DSTHAD47P1/uHyP12gwacZfmOR8/p83UVHu+uTxoTl/ZZIDAB+8/ZLL9zoEdcLdDzi/YFxfK5e/hnI3ZXr8z3+v03g8tT2qi09WvoPzBedcvm9MMKH/oKg6jas2r7/suh7zPI+//PUNJjkr3nsLv53Ld/l+n74DcM+fHmSS9ddnn7A9XV6dVqvFi68sdvpefeX9sA1rv3Z9rDDxnhRE3zmcSdafF86xdUtcXbt27fC3l15jkrMtZyvWrHHeIxfHcVj+Lruey559ZhGuXLni9D2tVovl7/6bWdb06VNdvsfzAlauXMUk591/vYu87XlO3xMEAR+vYvcVTXPmz6tx07aS8/mnnzHL+ctzz+HUqVNO3+M4Dl9+8QWzrKefdZ7FcRxmPPIwxhqNTHI2mr/Ff1atcrqd6Nq1K/75j1frNJ7mdByr1WrB8zwA58exVqvV7Xl9ffZRALD8gxX4Ydcuh2Ed2rfHsv+r2z6jLmUC/ph/ym+1js3f+/gT7Ni712EYBwAch8gBA/DYNNfbkIZYtmwZ9Ho9ZFm2nVdrNBrMnDmT2Xn1G2+8gYKCAqfnvPn5+bhx4wZ8fHwaNG5ZlrFw4UIcOXLENsxZjv0y6t27N5YsWdLoRonFixcjJydH9esfyrUW+xxlHRs2bBiz6zpZWVlYtWoVLBaLrU4sWLAAEydOZHqNSlH9Ol9WVhbS0tJgMplUyVNbVlYW1q5da7tOmpKSwvxaYvUspa5PnjyZ6TpbnbKs1K4TwB/XQmbOnIn+/fvjxIkTLbZO3AzMZjMyMjJazTISBEH1Oq7kKPV88uTJjc5yti+0z1LabuyPv1jtCz3JfjurZhsRITcLT7S58o358PLly53+vP7667j77ruxadMm3HvvvaymtcXIzMyEKIoQBAE8z9s29BzHgeM4fMHwwggApKen23LUkpubC1EUUVFRYSuHgvV3f+fm5jp0A6pkWSwWpKWlMc1Spr16mXJzc5nmpKWloaioCLIs18g6efIk0yxlfNVzZFlmOv+uXr1qy3D2s2ABm0bLBQsWuM0pLS1lkgPAbQ7rAzJPZdlve26WMikXY1hw14gNOG9Qaogzx/Y0cBrqj/X4XDlxeJfb969dZvfVFK4a5gFAlp03kqlBsrKbt+4a5j3p0vnfmI3LXcM8a57aHrlrmAeAXdu3Mctyx1VjcEO4a5gHgCOHDjDLctUwD8BtQ0595Xy3uVHv14e7ZXH16lVmOdnZrm9+cjdfG8JVwzzAdjnVRpLYnRTv3LXT5XusT76dNcyrkeOqYR5gXydcZcmyjPXpGcxy1mdmuJx2d+VtCE/tN3ied5vD+py+ekM2AFxys043lKeOzXfv319jmIyquufsvcbavn17jTJYrVam59U//PCD2/rw+OOPN2r81euv2stIoVxTUfv6h3KtxT5HkiRIksT0uk5aWprtqUslq7CwkPk1KkX163xpaWkoKChQLU9taWlpKCwstJ3LA+yvJVbPUpYT63W2OmVZ8Tyvap0A/rgWUlRUhNzc3BZdJ24G6enprWoZCYKgeh1XcpR6zirL1bGcfdtNS2e/nSWENJ4n2lwb9eT88uXLnQ5v06YNwsLC8PLLL+NPf/pTYyJapMTERPzrX/+yXXBRfis7ggceeIBpXnJyMj744ANV7+KIiYmxPTlfXl4O4I/yBAYGMs9Snpy3b6Q3GAwwmUxMswIDA3Hx4sUa3wkaExPDNMdkMtmenFcu2ipZ4eHhTLPCw8Nx8uTJGmXiOI7p/GvXrp3Li8yyLGPp0qVMcpYuXYqnnnrK5fve3t71Hmfv+JngBW2N4b/s/QblJc4voHIchzvGOF4YkcRKHM5e4TZrwNhHnWYd3rIScHGxkeM4DEqcWyNr30bXT6YNTpwNwUnOpfwjOHfM+UUJjuMwdPw8h2GiWIndme+7zAGA6PGPQdDUzNqd5fopPUGrx7DERx2zrJXIW/+ey8+MmDjHaU7hmcM49aPrBq/A0O7oMWh0jazv1r7r8jOu8LzG7ZPzrHSOGOT2yXmW3JeJne69h9T65DwrWp3B7ZPznsJr2C0rnd7QLBroOwR1YjYuvd7AvIF+3qKXoNXpagxf+e4/XWYZDF6Y8+cXHYZVVlTgncUv1Ts/KCTUbQP9kCg2T2PXhuVF9U6hYW4b6Hv16ccsi+M4t0/OsxI7YpTbJ+djR4xilsXzvNsn51mJjze6fXKepfbt27t9ct5TeJ7dSXHkkEi3T86z1KFDB5dPzrPUtWtXt0/OeyKL4ziMT2bXQ9z4xCS3T843xKcrV8LgpPevv736Kk6fOeP0Mx0CAvD2P//pMMxSXo4HH3nEZc7H/37fac57K1di+67dTj/D8zymTXoAo2Jja2RNe3S2yyx3hg4c6PTJ+Yb4z1tLXPac9pdXXsWVq1fh4+ON0tIyh/ciBw7ErAenOAwrLy/HjIVP1nsaBvfv7/LJ+cH9+9d7fLWJiorC999/D1mWbftajUbD9Lz6zjvvdHhAwZ4oivjXv/7V4HFzHIclS5Y4dOX7zDPP2NZfpfEyJiYG8+dX9dTFqivfmJgY5OTk1Lguwfr6h3Kt5fr167YcZVmxvK5jMplsT84r16pCQkKYX6NSVL/OZzKZbE/Ot0Qmkwlr165Ffn6+reGN9bXE6lm//VZ1k7FWq1V1vinLSpZlhIaGqpoliiI4jkObNm0cnpwnzVNycrLtyfnWQBRFdOrUSfXy2NdzFlnO9oUWiwUpKSkQRREhISEYP348jHY9P7XEbu3tt7OEkMbzRJtro64iHzt2jNV0tCqCIGDhwoVYvHixw8ITRRF/+ctfEB8fzzTPaDS6vFGClUWLFmHRokUoKyuzdWtX3y71mmPWypUrPZKTkJCAhIQEj2QtWbLEIzmffPKJy++CB8CkS3tlPO66kVy/fn29x8kLWqeNvl0i76n3uBqa1dfYsAtsrggucoK69ENQF3YNKQAgaLQQNDUbw4aOn+vkv9nnhIYPQGj4AKZZroy4m22ZXAkL74ewcLbLyZXESU94JKdLxAB0ifDMcpr44BMeyQGAKbOf90jOpBmub0pibdYTL3kk55G5zzEfp1ang05Xs6HgsYXsuv13Z+oj82r/J0aeffGftf8TAzMfW+iRHAB45fW3PZITfedwZt3W1+b/vVX/G8EaYnhsHIbHxnkk6/U32Hy9QF2sWvWJR3LmPD4Hcx6f45Gsd5e945Gc/3uNzVcm1MU/X/dM1ljjaIw1jq79H+vBoNfDYDDUGP7PV+vWRX5jcxbO8Uy9U8ydNRNzZ81kMi69Xu/0hgMAWPrqK0wyavPYtKnMu653Z/78+cjOrrqBVq3z6meeeQazZs3CGSc3h3Tt2rXBXdorOI5zmO433nhD9WsFQNV1nTlz5njkWktcXFyTXNNZunSpavOv+nU+Jb+lsl9OoiiqWveq14kvv/xS1a9ctV9WatYJALaut1esWHFTfo1sS2M0GjFhwoSmngxmRFFUvY4rOazrefV9oX3WsmXLWsX6VH3bRwhpHE+0uXrucbKbzJgxY9ChQweHYYGBgcwb5glpSps2barX8OaeQwghhBBCCCGEeNIHHzjvgez99933aEYIIYQQQghpmZj0v7pz505s3brV1mVQp06dEBcXh8jISBajb7HefvttTJnyR/dtb731VhNODSHqCAkJQUFBgcPrlpxDCCGEEEIIIYR40qJFi7B48WKH14QQQgghhJDWqVFPzldUVGDevHmYNm0aPvzwQ/zwww/44Ycf8OGHH2LatGmYP38+KisrWU1ri9OxY0fE/v59cbGxsejYsWMTTxEh7P31r391+7ql5RBCCCGEEEIIIZ40dOhQt68JIYQQQgghrUejGuffffddmM1mTJ8+Hd9//z127tyJnTt3Ijc3Fw8//DA2bdqEd9/1zPcuNlcvvPACNm3ahBdeeKGpJ4UQVcyfP9/t65aWQwghhBBCCCGEeNJLL73k8Prll19umgkhhBBCCCGEqK5RjfPr16/HxIkT8fTTTzt8v3pAQACeeuopmEwmfPPNN42eSEJI87RixQpYrVaHYVarFStWrGiROYQQQgghhBBCiCft3bsXhw8fdhh26NAh7N27t4mmiBBCCCGEEKKmRn3n/MWLF9G3b1+X7/ft2xcZGRmNiSA3MbPZDJ1OB1EUVcvIysrC6tWrodPpIMsyFixYgIkTJyIhIUGVPKVMHMdh5syZmDx5sipZSo4sy5g2bRrKy8sxfPhwpt9bV1lZibS0NOj1egCALMuQZRkcx+F///sfHnroIWi1WqY5sizb6oNGo8G6desQEhKC5OTkRucozh3ORvGFU9D7BkCyloPX6FFechl+HbsitHc8sxx7vxw049r5U2gb1BW39jWqktFUfsxJRen1i/BuE4g7YlOYjLPg9I84eWArIMsOw33bdsSAkfczybB37ueDOH0kD6JohSBo0KVXNEK7ud73NdSBHzJQ+MtxCBoNfPzao+jaBfCCBhH9YxEW3o9Zztnj+/Hz0d3QavUounoRIbf1wMBh7NYhxelj+3Bk//cQf7+xhgMgSSIkScYtXW7HkBETmGWdPLoPxw/tRLsOIbjw2xkAgLevP65duYBbOkcgeiS7rMyvV+LKxUJo9QZYK8oh/14P2wcGI/GeR5jlrP/yP7h8sQAAwAsCtFo9OoV1waULBejdPwoRfQYxy8rO+i9OnzgCLx8/3Ci+bhs+bFQSevUdwiwHAA4d2IUDu3MRGByKi4XnbL/7DY5Bn37ssrK+ScVPRw4CADiOg0ajBThAo9Eieng8+g5g01Xs/j3b8f13ZgDAbV3CcfzYIUiiCJ4XED92PPoPimKSAwB7d+dh86YMVFZWAAC0Wh26394LBb/lIzI6FgMHRzPL+vrLT3H4x/0AOMiyBADgOB5e3l4YGZ+AwZF3Msv68ouPcejH/fD3b4Nr164BqFqn+vYbiD89MI1Zjr1lb/8Tv+b/grbt2kEQNIgdMQrRdw5nMu7c73OQtvYrWK1WcBwHWQY0GgEGgwHjEsYjZlgskxwA2JazFenp36CysgKVlZWQJAk8z8Pb2wfJyRMwPDaOSc53323B+m/SUFxcbBvWvn17aDQajDaOxYgRI5nkKLZs2YxPP/3Ytn0FgKFDozB79uPMMrI3Z+O/X/8XAHDvPfciflQ8sjdnIzMrE4kJiYgfxf6Yb9nyd7B9xw5EDR2K+XPnMR+/vbeXLUPe9u3Q6XR4cPJkjDGyPb7caDZjfXoGxicnAYDt77GMcwDgrXeW44e8POj1enTq1Alnz55F1NChWDhvLvOsTdnZWJ+ZifGJiQBg+3tMPLv6YN68BekbNyB57DgAwJdr1wIA/jRxIoyj2K5LnpK9bRuysjcjIX4U4oez2ZY2N4IgYObMmaioqIBOp2N6Hi9JEl555RXb+TvHcRBFEaIo4rXXXsOXX34Jnm/UczXNgtlsRkZGBkwmk2rXW9SWlZWFtWvXQhAEiKLYKsoEeO7am/28I4QQQgi52TXqCD84OBg7d+50+f6uXbsQHBzcmAhyE0tPTwfP8xAEQbWMtLQ0FBUVged58DyPwsJCpKWlqZanlInjOBQVFamWpeTwPA+LxQJZlpGbm8s047333rOVheM4W56yzN577z3mOcq4BUGwvf7000+Z5CiKL5wCZAnlxRdRWVaE8uKLgCxVDVfJtfNVmdfOq5fRVEqvX3T4zcKvJ/bWaJgHgJJrF5hl2Ms/sReV5WWQrJWoLC9D/gl1nmA5n38CgAzRWomiq+cBWYZkrcSZY3uY5vx8dDdKi6/h+pXzkGUJBWePMx2/4sThXaiwlEG0VkK0VsJqrWo4AmScO8M28/ihnSgpuopfzxxDuaUU5ZZSXL1UCFmS8OuZY0yzrlwsBABUllscGo6U4awoDfMAIIkiyi2lOPPzURRfv4LD+7czzTp94ggkSXJomAeAg3vzmOYAwIHdubh+7QpOHT/s8PvAbrb7qBPHDtn+lmW5qvGyogJlpTewdye7rF3bt6Gs9AbKSm/g+NEfIf1+sVGSROzavo1ZDgDszMuxNcwDQGVlBY4dOYirVy5jZ14O06wjhw78ftOdZBsmyxJKb9xAXu5WplmHftwPSZJw7dpVKA3zynC1/Jr/CwDg2tWruHzpInK+28xs3Fu3fGvr7adqGyHDarWipKQEW7d8yywHALKzzSgpKUZ5efnv29eqRp6SkmJkZ5uZ5Xxr3ujQMA8AV65cwYULF/CteSOzHMWGDVkO21cA2L17F9OMzKxMFBcXo7i4GJlZmbZh58+ft71mbfuOHRBFEdt37FBl/NWzJEmCxWLBehVull+fnoHCwkKsT89w+FsN23fsgCzLsFgsOHXqlKrzcH1mJgrPn8f6zEyHv1lK37gBhecvIH3jBqRv3ICi4mIUFRcjfeMGpjmelJW9GecvXkRWNrttaXMjCAKKiopgsViYn8fv3LkTlZWVNc6nAaCoqMjtNbeWJD09HQUFBapeb1FbWloaCgsLbcunNZQJ8Ny1N/t5RwghhBBys2tU47zJZEJWVhb+9re/2U6UJUnCqVOn8OKLL2LDhg2YOHEiq2klN5nk5GRIkqTqXbUmkwn+/v6QJAmSJCE4OBgmk0m1PKVMsizD399ftSwlR5IkGAwGcByHmJgYphmPPfaYrSyyLNvylGX22GOPMc9Rxi2Kou31gw8+yCRH4dexK8Dx0PsFQuvlD71fIMDxVcNV0jaoKrNtkHoZTcW7TaDDbxZu6T4Q4Lgaw33bdmSWYS+s+0Bo9V7gNVpo9V4I6z5QlZygsO4AOAgaLfzbBQEcB16jRecIdk9IA0C3noPh7dcWbdoHgeN4hNzWg+n4Fd17D4HO4AVBo4Wg0UKj0f7+1A+H0M5sM3v0iYSvfzvc0jkCeoM39AZvtOsQDI7ncUvnCKZZ7QOrbjrU6qu2rdWHsxIQGGL7mxcE6A3e6NytJ/zatEfv/uyexgaALt17ged5+Pi1cRjedyC7J7EV/QbHoE3b9ujao7fD736D2e6jukf0sf3NcRy0Wh20Oh28vH0wMJJd1pCo4fDy9oGXtw969LwD/O8XHHlewJAotk8PRkbHQqvV2V5rtTpE9OqLdu0DEBnN7mlsAOjVp9/vN9/9carAcTy8fXwQHRPHNKvPHf3B8zzatm2Hqj42/hiullvCbgUAtG3XDgEdAhE7YhSzcceNHA2NpqpzsqptBAeNRgNfX1/EjRzNLAcA4uON8PX1g16vtz1VyfM8fH39EB/P7gnm0cax8PPzcxjWvn17dOzYEaONY5nlKMaNS3DYvgLA4MFse/FITEiEn58f/Pz8kJiQaBsWFBRke81a1NChEAQBUUPZ9NxRWxbP8zAYDBiflMR8/OOTkxAcHIzxyUkOf6shauhQcBwHg8GArl27qjoPxycmIjgoCOMTEx3+Zil57DgEB3VE8thxSB47Dv5+fvD387M9Sd8SJcSPQlBgIBLi2W1LmxtRFOHv7w+DwcD8PD4yMhJarbbG+TQA+Pv7IzIykllWU0pOTkZISIiq11vUZjKZEBwcbFs+raFMgOeuvdnPO0IIIYSQm12jurWfPXs28vPz8eWXX+Krr76yXRRSGtImTpyI2bNnM5lQcvMxGo1Yvny5qhkJCQmIi4vDXXfdBQBYunQpvLy8VMuzL9OKFStUy7LP+fjjj1XJ0Wq1MJlM+Oqrr2q8d//99zPp0t5djiiKuP/++5l2aQ+gqut6lbqvd+XWvkbc6tFEz2HVlb29kC53IKTLHczH60pot76qdGNfXb87k9DvTnUubNu7rUd/3Najv+o5XSIGoEvEANVzACC85wCE9/RMFsuu690Z/6cZHskBgPiEewEP9cTZp98Qpt3Xu5IwIQUJE9hvf6rrPyiKadf17gwcHM2063p37vnTg7jnT2xvfnPlTw9MU637elfmP/G0auOOGRbLtOt6d4bHxjHrut6dESNGMu+63p2RI0dh5Eh1G/niR8XX6Lre2TCW5s+dp3p39oon5s/HE/Pnqzb+sUajQxf2anRnr1g4b64qXdg7MyY+3qELe5bd2SuMo0Y6dF/fUruytxc/fHir7c5eIYqiaufvPM/jr3/9K5555pka773wwgutokt7oOoaxYQJ7L5qqilUv37UGsoENM21N0IIIYSQm12jGucFQcAbb7yBhx56CN999x1+++03AEBoaChiY2MREcH2aTVCSPMyc+ZMrF271tZ9K1D1XfAPP/xwi8whhBBCCCGEEEI8aeDAgejduzcOHz5sG9anTx/079+/6SaKEEIIIYQQoppGNc4rIiIiqCGekJvUsmXL8Pjjjzu8VsOcOXOwdOlSh9eEEEIIIYQQQkhL99JLLyElJQWSJIHnebz44otNPUmEEEIIIYQQldS7cX78+PH1+n+O4/DNN9/UN4YQ0kKEh4fj1ltvxS+//IJbb70V4eHhquTYN8wrr5NU+A5NQgghhBBCCCHEk9q0aYP7778fa9aswf333482bdo09SQRQgghhBBCVFLvxvm2bds6vLZardi3bx9uv/12+Pv7s5ouQkgzJMsyLBZLjeHvvPOO7e+ysjLb3waDARzHNTr31VdfdTn8hRdeaPT4CSGEEEIIIYQQT3B1Xp2SkoKUlBQA6pxXE0IIIYQQQpqHejfOf/rppw6vr1y5gjvvvBPPPPMMoqOjmU0Yab4EQYAgCDCbzZgwYYIqGVlZWVi7di20Wi04jsPMmTMxefJkJCQkqJIHVJVr2rRpqKiowLBhw7Bo0SJm437yySdx8uRJ+Pj4QK/XQ5ZlLFiwABMnTlStTKyXkyzLWLhwIY4cOeIyS5ZlcBwHURQhiiJ69+6NJUuWNOpCQnl5OfLy8qDX623TwXEcJElCTk4OysvLbe+xdvXcEVz55QDa39oP7UJ7qZJxOf8wCk/uhGitAGQZbYO74da+RqYZF385hIITOyFZrZBkEZBlAEC7kHB06T+GaZbi/JlDKDi1Dz5tOuLG9QsI6ToAQZ37MM85tmsDLp07iQ6h4YgYMo75+M/9fBAnDmyFLEngOA7y7/MOADqG3Y7eQ9mtv/knD+DMsT3wbx+Eoivnbb87RwxCWHg/Zjn29n6fjoKzx+HfLhCVleXo1nMwbuvRn9n4Tx/bhxOHd6Fdh2BcKDgLyECvAcPQJWIAswwAOHl0Hw7v3QYA6D1wOADg+KGd6NEnEuE92WZ9/+1anP35KARBg4HR8ejRexDT8ds7dmgPDu/fDp1OjyuXz6N9QBAqKsrRu38UIvqwyz1ycBcO7s2DKIq4UXwdPn5tIAgC+g6MRq++Q5jlHDqwCztzNwOQERkTDwAOr/v0Y5cFAFnfpOKnIwcBALf36ouECSlMx1/dJyvfwfmCc+B4HgaDF4aNMKL/oCimGatWLEPhb7/Cv01bCIKAkE5hKPgtH5HRsRg4mP1x+O6dPyArYy0kUUSn0DDMfGwh0/Hv3P49crdtQczwkYiMGuZyGCt5P2xDzneb4eXlhd/OnUPffv0xacp0phmffLwS+/ftgSzL0Gq1qKysBMdx8Pb2QULieMQMi2WaZ2/Vhx9g3769GDBgIKY/PIvpuP+z4t/YvXun7ZhPp9Nh/AQTRowYyTRH8f77/8KOHdsBABqNBpMmTcHIkaOY52RvzkZmViYSExIRPyqe+fgV5m/N+PKr/6KisgIVFRWQJAldu3bF66/+Q5W8TWYz1mdkYHxSEsYY2R5XAsBGsxmffrYaFRUViI6OwsL585ln2HvrneX4Ie8HABzujI7GwnlzVc1rbb7d+h0yzGYkGY0YHTdCtZzsbduQlb0ZCfGjED98uGo5ALD5+1yszcpCRUUFdDodJiYkYNSwGFUzWXF3Xq1QtrUsz6udjV/NazpNkUValqysLKSlpcFkMql6rY8QQgghpDniGzsCunv35iMIAnieR3p6umoZaWlpKCwsBM/z4HkeRUVFSEtLUy0PqCqXxWKBJEnIzc1lOu6TJ08CAG7cuAGO48BxHAoLC1UtkxrLydX6rmQpP4IgMMt8+eWXwfO8bb4pf/M8b3tfLVd+OYDKsiJc+eWAahkXzx6AWGkBZAmAjGvnTzHPuHD6AKwVFkiS1dYwDwDXCtlnKQpO7UP5jeu4WvAzym9cR8GpfarkXDp3ErIs4dK5k6qMP//EXsiSBAAODfMAcPHXE0yzzhzbg9KSaziff8Lh95lje5jm2Cs4exyyLOH6lfMoLb6Gn4/uZjr+E4d34UbxNZw7cxwVljJUlJfhxOFdTDOAqob4ckspyi2lOH5oJ44f2omSoqs4fmgn86yzp45BlmVYrZU4emAH8/HbO7x/O4qvX8HliwWQJQmXLxag+PoVHN6/nWnOwb15KLp2BTeKrwMAbhRfR9G1Kzi4N49pzoHdubCU3YClrBQHdufWeM3aiWOHnP6tlvMF5wAAsiShrPQGdm3fxjyj8LdfAQBF16/h6pXLOHbkIK5euYydeTnMswAgL3crJFEEAPx2Lp/5+HO3bcHly5eQu22L22Gs5Hy3GZcvXcSv+b9AkkQcPLCfecaB/fts+4vKykoAVfuPGzdKsHXLt8zz7O3btxeiKGLfvr3Mx7137+7ft31WlJeXo7i4GN+aNzLPUeze/ce+wmq1YsOGLFVyMrMycf78eWRmZaoyfkV6RiaKiots5xoAcOqUesdh6zMyUFhYiPUZGeqMPz3DVpbt29XdFwLA9h07IMtV69L2HerntTYZZjPOX7iADLNZ1Zys7M04f/EisrI3q5oDABu3bEFxSQnKKypQXFKCjVvY7zPUVNt1NOX8muV5tbPxq3lNpymySMuSlpaGgoIC1a/1EUIIIYQ0R41unCc3H1EUIUkSkpOTVcswmUwIDg6GJEmQJAn+/v4wmUyq5QFV5TIYDOB5HjExbO+6V76H3cfHB7IsQ5ZlBAcHq1om1suJ4zgsWbIE69atc/hJTU21ZUVHRyM4OBizZs3CunXrmNzd/+KLL0KSJNt8U/5WLmy++OKLLIrnVPtb+0Hr5Y/2t6rz1DIABN7WD4LWAHA8AA5tg7oyz+jYpR80OgN4XgPYLY+2weyzFCFdB0Dv0wbtQrpB79MGIV3ZPr2s6BAaDo7j0SE0XJXxh3UfCO73G0Gq1+XAW7ozzeocMQjevm0RFNbd4XfnCPWezA65rQc4jkeb9kHw9muLbj0HMx1/995D4OPXFqGde0Bn8IJO74Xuvdk+HQ0APfpEQm/wht7gjR59ItGjTyR8/duhR59I5lm3dY0Ax3HQaLTo2W8o8/Hb690/Cn5t2iMgMAQczyMgMAR+bdqjd3+2T2P3HRgN/7bt4eNX9d2mPn5t4N+2PfoOZPskdr/BMTB4+cDg5Y1+g2NqvGate0Qfp3+rJSgkFADA8Ty8vH0wJIr9U4PBnW4BAPi3aYt27QMQ0asv2rUPQGS0Ok9jR8fEgf+9YaBTaBjz8ccMH4mAgA6IGT7S7TBWYkeMQkCHQNwSdit4XkDffv2ZZ/TrP8C2v9BqtQCq9h8+Pr6IGzmaeZ69AQMGQhAEDBgwkPm4Bw4c/Pu2TwO9Xg8/Pz+MNo5lnqMYPPiPfYVGo8G4ceo8UZeYkIigoCAkJiSqMn5FclIi/P38becaANC1q3rHYeOTkhAcHIzxSUnqjD85yVaWqCh194UAEDV0KDiual2KGqp+XmuTZDQiqGNHJKnQi4K9hPhRCAoMREI8+14uqhs7ciT8fH2h1+ng5+uLsSPV6cVDDe7OqxXTp09nfl5tzxPXdJoii7QsJpMJISEhql/rI4QQQghpjurdrT0hStdqRhVP7hMSEhAXF4e77roLALBixQp4eXmplgdUlevjjz9WJWfJkiUAqr43TinT0qVLVS2TGsuJ4zin06xkLVy4kHmZ9Ho9oqOjkZNT86nAuLg41bq0B4B2ob1U685eERDWGwFhvVXNCLy1DwJvVb9hyl5Q5z6qdGNfXcSQcQD7tl6b0G59Edqtr3oBdsLC+6nWfb0rA4clA2x7jXbQJWIA8y7snQnvOaBG9/Wsu7NXDBs9EcNGT1Rl3NVF9BnEtPt6V3r1HcK0+3pX+vQbUqPretZd2dtLmJCielf29qY+Mk/1jOkz1e06urrBkXdicOSdqo0/MmpYja7rnQ1jJfrO4Yi+U92ulqdOewRTpz2iaoYr0x+eBbad9P9hxsxHMWPmoyqNvabZsx/H7NmPq54TPype1e7sFcbRRhhHq9swam+M0ahKd/aKsUYjxqrc0Gtv4by51JV9I4yOG6Fqd/aK+OHDVe/OXjFqWEyL6cbeGVfn1YrExETcc889quV74ppOU2SRliUhIYG6syeEEELITYsa5wkhzd4LL7yAMWNqfjf6c8891wRTQwghhBBCCCGkpZJlGRaLpdb/s/+fuvy/wmAw0FdAEkIIIYTcJOp6bAk07PiSji1bp3o3zh8+fNjhdXFxMQDg7Nmz8Pf3d/qZ3r3VfSqUENL6/fOf/8TTTz/t8JoQQgghhBBCCKkPi8Vi69GurlJS6t4bz7p161Tv+Y8QQgghhDQPDTm2BOp+fEnHlq1TvRvn77nnHqd3abz88ss1hsmyDI7jcPTo0YZNHSGE/E6n07l9TQghhBBCCCGEEEIIIYQQQkhzVu/G+ddff12N6SCEELcWLlxY4/XGjRubaGoIIYQQQgghhLR0/3rtVejd3PgtyzIA1NqVaHlFBR5/7gWm00YIIYQQQlqWyR07QlPLcWNdji+tsozVFy4wnTbSvNS7cX7ixIlqTAchhLj01ltv2XZaClmW8dZbb9VotCeEEEIIIYQQQupCr9PBoNc39WQQQgghhJBWQMNx0PJ840ckSY0fB2nW6t04T5ovQRCwYMECTJw4EQkJCczHn5WVhbVr10Kr1YLjOJjNZkyYMIF5jsJsNkOn00EURVXGn5WVhbS0NCQlJUEQBAiCgJkzZ2Ly5MmqzD+FVqsFz/NISUlBbGwsFi1axHT8WVlZWL16NfR6PaxWK8xmMzIyMmAymVQtl06nQ0pKCrRaLWbMmMEsq6KiAps2bbJ1Y6/cUSbLMrKzsxEeHo7x48czyQKA07v+h/LiiwA48Fo9tAY/lJdchl/HrgjtHc8sBwB+OWjGtcKfAQ6ALIPjePAaHYLDIxEQ1ptZzsVfDqHgxE5YK8oByADHQaPRI6RHJAJv7cMs5/yZQ/j1px2wVpTVeK99p+7oPmgssywAOLZrAy7+etz2WtBo0aXPMIR0uYNpzu7sL1B89Tw0Wj2s1grwggbhdwxHaLe+zDLyTx7Asf05kKyVAMcBv9+MImi0uL1/LMLC+zHLAoC936fjtzM/AajK0Wj10Bm80K3nYNzWoz+znNPH9uHH3VshWishaLQICeuGq5cK0b33EHSJGMAsBwDytnyDX88cQ9v2HVF87TKs1kpoNFr0jRyF8J7ssr7/di3O/nwUHMdBqzMg5JbOuHyhAD37DUWP3oOY5Rw7tAc7crIgyzJ0egM4jkdlZTkkSUKX8F4YMeZuZlnZWf/FqeOHAXCQ5aqDfx+/NhAEAX0HRqNX3yHMsjZlfIVTxw8jIDAYxUXXUVFeBlmW0e32PhiTdB+znIP7diBvWzas1kqlmkOj1SJ6eDz6DhjKLKe69Wu/wPGjP6JHzzswfuIDzMe/d3cetm3ZhMrKSnAcoNFoMXzkGAwcHM00Z/fOH5DxzX9trw1e3og3JiIvdyuiY+IwOPJOJjnvvbMY587lAwBCQ8Nw7doVABzijQmIjBrGJEPx+WercGD/XvC8AEmSbHW9/4BBmDRlOtOs3O9zkJW53rYd6nF7BPJ/OYu4kaMRMyyWadaqDz/Avn17ERp6C8rKynDbbbfh7NmziI83YnhsHLOc777bgq//+yUqKioweHAkZsx8lNm4q9uyZTPWrv0aZWVlEEXx92PMBzBy5ChV8rI3ZyMzKxOJCYmIH8X2WE9h/taM9IxMJCcl4uixY9i+Yweihg7F/LnzmOZsMpuxPiMD45OSMMZorPGatY1mM9anZ6Bbt674+edTGJ+chLGMczaav8X6zAx069oNP5/62fZ7fGISxhpHM8vZlJ2N9ZmZGJ+YiDHx6tQDZ8ybt+DLtWsBAH+aOBHGUSOZjv/brd8hw2xGt9tuw6FjxyADuG/CBIyOG8E0BwCyt21DVvZmdLntVhw+9hMA4J7kJMQPH840Z/P3udi4ZQvGjhyJUcNimI7b3ta87diYk4OxsbGIi47CvL+9hNKyMnh7eeGdv7/EPM9sNkOv10OWZdWuSyjXdARBgCiKHrtWQIg9ta9dEkIIIYS0BAxu4SDNhSAIKCwsRFpamirjT0tLQ2FhIXieB8/zSE9PVyVHkZ6eDp7nIQiCKuNPS0tDQUEB0tPTIQgCeJ5HUVGRavNPwfO8rYE5NzeX+fjT0tJQVFQEjuMgCALS09NRUFCgermUMlVWVjLNevPNN23Lh+M4hx+e5/HJJ58wywLwe8M8AMiQKi1Vr2UJxRdOMc0BgGvnTwGQbQ2xsixBrLTg4tkDTHMunD4Aa4UFthYqWYa10oILp9nmFJza57RhHgCuFvzMNAsALp076fBatFbi1xN7mecUXz0PALBWlgOyDMlaiXzGOWeO7alqmAds9QGoKtOZY3uYZgFAwdnjsNUHVJWttPgafj66m2nOicO7IP5eLtFaiXNnjuNG8TWcOLyLaQ4A/HrmGGRJwtVLhVUNsgCs1kocP7STac7ZU8cgyzIkSUK5pRRnTx1DcdFVHD2wg2nO4f3bbT2GVJRbUG4phSSKgCzjzM9HmWadPnEEsizbGisB4EbxdRRdu4KDe/OYZp06fhiSJOHi+d9gKbvxeyOp/PvNAezs3ZmLstIbqKyoQGVl1U9Z6Q3s3cl+v2vv+NEfIUkSjh/9UZXx78zLQWnpDVRWVqCiogKlpTewMy+HeU5e7laH15ayUuTlbsWVy5dqvNcYSsO88veNGzdw40YJcrdtYZahOHhgP2RZhihaHer6wQP7mWdt3fItbtwoQXl5OW7cKMGB/ftw6dJFbN3yLfOsffv2QhRF/PLLWVy8eAH79u3FxYsXkJ1tZprzrXkjysvLIcsy9u5lu6+obsOGLBQXF8NqtUKWZZSXl2PDhizV8jKzMnH+/HlkZmWqlpGekYnC84VIz8jE9h07IIoitu9gu98AgPUZGSgsLMT6jAynr5nnpVeNf/v2HVU56exz1mdmoLDwPLbv2OHwe30m26z1mZkoPH8e6zPVqwfOpG/cgKLiYhQVFyN94wbm488wm3H+wgXs2LsXRcXFKC4uRoaZ7fZBkZW9GecvXsSufftRXFKC4pISZGVvZp6zccsWnL90CRu3sN9XOOTk5ODCpcvYmFO1ny0tK3P4zVp6errtHFet6xLKNR3lGounrhUQYk/ta5eEEEIIIS0BNc63IqIoIjg4GCaTSZXxm0wmBAcHQ5IkSJKE5ORkVXIUycnJkCRJtSfnTSYTQkJCkJycDFEUIUkS/P39VZt/CqUhAgBiYtjf6W8ymeDv7//7BWgRycnJCAkJUb1cSpm0Wi3TrKeeesq2fKoaj/74kSQJU6dOZZYFAHq/wN//4sBrDVWvOR5+HbsyzQGAtkFdAXBVT0oD4DgegtaAwNvYPiXdsUs/aHSGqqyqIGi0BnTswjYnpOsAaHReTt9rF9KNaRYAdAgNd3gtaLS4pftA5jl+7YIAVD1dDo4Dr9EijHFO54hB4DXaqhd23zckaLToHMHuaWxFyG09YKsPqCqbt19bdOs5mGlO995DIPxeLkGjRWjnHvDxa4vuvdk9ia24pXMEOJ5Huw7B0PyeqdFo0aNPJNOc27pG2C6c6g3euK1rBPz826FnP7ZPY/fuH2W76UmnN0Bv8AYvCADHoXO3nkyzunTv9ftNT38cFvr4tYF/2/boO5DtE9lde/QGz/MIDOoEg5eP7carrj3Y9RYCAAMjY+Dl7QOtTgetturHy9sHAyPVe8IOAHr0vAM8z6NHT7Y9eCgio2Ph7e0DrVYHnU4Hb28fREazfRIbAKJj4hxeG7y8ER0Th/YBHWq81xihoWEOf/v4+MDHxxcxw9k+OQoAffv1//3GRY1DXe/brz/zrLiRo+Hj4wu9Xg8fH1/06z8AHToEIm4ku6d8FQMGDIQgCLj11tsQGNgRAwYMRGBgR8THs316ebRxLPR6PTiOw8CBbPcV1Y0blwA/Pz9oNBpwHAe9Xo9x49R7si4xIRFBQUFITEhULSM5KRHBQcFITkpE1NChEAQBUUPZ9+IxPikJwcHBGJ+U5PQ187zkqvFHRQ2tyklmnzM+MQnBwUGIGjrU4ff4RLZZ4xMTERwUhPGJ6tUDZ5LHjoO/nx/8/fyQPHYc8/EnGY0I6tgRQwcOhL+fH/z8/JCkQi8KAJAQPwpBgYEYMqA//Hx94efri4R49j1ejB05EkEdOmDsSPb7Coec2Fh07BCAsbFV+1lvLy+H36wlJyfbznHVui6hXNNRrrF46loBIfbUvnZJCCGEENISULf2rYgoili6dCm8VDpZTEhIQFxcHO666y4AgFGlk3qF0WjE8uXLVRt/QkICEhISUFZWhuXLl0MURaxYsUK1+aeorKx6onPdunWqZDlbTmp+/YCioqJClTLpdDqMGTMGWVk1n5hKSkpi2qU9AHQZwq6r6Nrc2teIW/uqux4BQOCtfZh2X+9KUOc+COqsfo4iYsg4RAxhfxGzusHx7Lumri4svB/zruvdGTgsGQOHqXuDFQB0iRjAvPt6V6JHTgCg/rZu2OiJGDZ6ouo5EX0GIaIP+xsznIlPuBfxCfd6JGtM0n0Aw+7rXek7YKiq3de7Mn7iA4AK3dkrBg6OZt6FvTODI+902nU9q+7sFY/NY/vVPu5MmjKdeff1rsQMi2Xefb0r0x+eBU+UasSIkRgxQt2GMMXIkaNU68LemfhR8ap1Z68wjjbCONpo+5t1d/aKMUajQ/f11V+zNtZoZN6Nfc2M0Uy7r3dlTHy8R7uzVxhHjWTelb290XEjVOnC3pn44cOZd2HvzKhhMap2Z6+Ii45CXHSU7bUaXdnbs7/+odZ1iaa6VkCIPbWvXRJCCCGEtAT05DwhpNlbuHCh7QlSBcdxWLBgQRNNESGEEEIIIYQQQgghhBBCCCH1Q43zhJAW4f/+7//cviaEEEIIIYQQQgghhBBCCCGkOaPGeUJIi7B//36H1wcOHGiaCSGEEEIIIYQQQgghhBBCCCGkAahxnhDS7J07dw6pqakOw1JTU3Hu3LkmmiJCCCGEEEIIIYQQQgghhBBC6kfT1BNAyM0iKysLa9euhSAIEEWxqSenxZBlGcuXLwfP87Z5J4qibfhrr71W4/voG+vquSO48ssBGPw7wlJ0Ae1v7Yd2ob2YZigu5x/GxbMHEHhbPwSE9VYlw5POnzmEglP7ENJ1AADY/g7q3IdpTsHpH/Hrib24pftAhHS5g+m47Z37+SDyT+xFWPeBAGD7O7RbX9Uy7eWfPIAzx/agc8QghIX3YzLOs8f34+eju9E2IBgFvxyHLElo0z4IwxMfZDL+pnDy6D4cP7QTPfpEIrznAI9mHz+8B0cP7EDPfkPRo/cgj2azcuTgLhzcm4fAoE64eP439B0YjV59hzT1ZLUo+/dsx67t2zAkajj6D4pSPW/v7jzszMtBZHQsBg6OVj3PE3Zu/x6527YgZvhIREYNUy0n74dtyPluM2JHjEL0ncNVy7GX+30Otm75FnEjRyNmWKwqGdtytiI724z4eCOGx8apkkFank1mM9ZnZGB8UhLGGI1NPTkNttH8LVL/+18AMlLuvQ9jjaNVz9yUnY31mZkYn5iIMfHxqmSYN2/Bl2vXAgD+NHEijKNGqpLTWm3+Phcbt2zB2JEjMWpYTFNPDnFDEAQsWLAAEydOREJCQlNPDqnGbDZDp9OB4ziYzWZMmDChqSeJEEIIIaTVoyfnCfGQtLQ0FBYWQhCEpp6UFiU/Px979uwBx3G2BnoAEEURe/bsQX5+PvPMK78cQGVZEYovnEJlWRGu/KJeF/oXzx5ARel1XDzbOrrpLzi1D+U3rqPg1D6Hv1n79cReWG5cx68n9jIft738E3tRVnIN+Sf2OvztKWeO7UFpyTWcObaH2Th/ProbpcXXUHC2qmEeAK5fOc9s/E3h+KGdKCm6iuOHdno8++iBHSguuoqjB3Z4PJuVg3vzUHTtCk6fOIKia1dwcG9eU09Si7Nr+zZcu3oZu7Zv80jezrwcXL1yGTvzcjyS5wm527bg8uVLyN22RdWcnO824/Kli8j5brOqOfa2bvkWly5dxNYt36qWkZ1txsWLF5CdbVYtg7Q86zMyUFhYiPUZGU09KY2yPjMDRUVFKCoqxvpMz5RlfWYmCs+fx/rMTNUy0jduQFFxMYqKi5G+cYNqOa3Vxi1bcP7SJWzcou5+gzSeIAgoLCxEWlpaU08KcSI9PR08z4PjOKSnpzf15BBCCCGE3BSocZ4QDzGZTAgODqan5uspLCwMgwYNgiRJkCTJNv8EQcDgwYMRFhbGPLP9rf2g9fKHX8eu0Hr5o/2tbJ5Ydibwtn7QebdB4G3qZXhSSNcB0Pu0QUjXAQ5/s3ZL94Ew+LTBLb8/0a6WsO4D4eXbFmHdBzr87SmdIwbB27ctOkeweyK7W8/B8PZri5DbeoDjqw4D2rQPYjb+ptCjTyR8/duhR59Ij2f37DcUfv7t0LPfUI9ns9J3YDT827ZHl+694N+2PfoObB1PYnvSkKjhaNsuAEOiPPMkdmR0LNq1D0BktDpPYTeFmOEjERDQATHD1X1yNHbEKAR0CETsiFGq5tiLGzkaHToEIm6kek/7xscbERjYEfHxLffpaMLe+KQkBAcHY3xSUlNPSqOMT0yCv78//P39MD7RM2UZn5iI4KAgjE9MVC0jeew4+Pv5wd/PD8ljx6mW01qNHTkSQR06YOxI6nGguRNFEcHBwTCZTE09KcSJ5ORkSJIEWZaRnJzc1JNDCCGEEHJToG7tCfGQhIQExMXF4a677mrqSWlROI7D3LlzMWPGDFRUVNQYzrpLewBoF9pLtW7sqwsI690qurNXBHXu49CFPevu7BUhXe5QtTt7RWi3vg5d2HuqO3tFWHg/Zt3ZK27r0R+39ejPdJxNLbznAI93Z6/o0XtQi+3OXtGr7xDqxr6R+g+K8kh39oqBg6NbTXf2isioYap2Z6+IvnO4x7qzV8QMi1WtO3vF8Ng46s6e1DDGaGzR3dkrxhpHe6Qre3tj4uNV685eYRw1krqyb4RRw2KoO/sWQhRFLF26FF5eXk09KcQJo9GI5cuX2/4mhBBCCCHqa/FPzt+4cQOxsbG4/fbb8eOPPzq899VXX2Hs2LG44447MGHCBGyh7s4IaZFCQ0ORkpJia4jnOA4pKSno1KlTE08ZIYQQQgghhBBCCCGEEEIIIXXT4hvn//WvfzntJjwjIwN//etfkZCQgBUrVqB///6YO3cu9u/f7/mJJIQ02v3334+AgAAAQEBAAFJSUpp4igghhBBCCCGEEEIIIYQQQgipuxbdOP/zzz/j888/x7x582q8t2zZMiQlJeGJJ55AVFQU/v73v+OOO+7Au+++2wRTSghpLIPBgHnz5qFjx46YN28eDAZDU08SIYQQQgghhBBCCCGEEEIIIXXWohvnX331Vdx///3o0qWLw/D8/HycOXMGCQkJDsMTExORl5fn8L3VhJCWIzo6Gp999hmio1vX9+wSQgghhBBCCCGEEEIIIYSQ1k/T1BPQUBs2bMDx48fxzjvv4PDhww7vnTp1CgBqNNp369YNlZWVyM/PR7du3ZhPkyzLsFgsdfpfg8Fg+/7splaf6bb/v7p+BvijvGpn2eeUlZWhvLy8XjnXrl2rU5Zer4eXl5fqWfY5AOqc1ZLKBFSV69q1aw7/J0kSiouLa81X+Pn5gecd7zdq27at0/XMWlEKyap1Oz4ZMgCAg+v1VJIqa52uyvJSiG6yZPn3nFq2B5LoPquivBRCbWWqQ5ZYSw4AVFhKIWhc/19dyyRaaylTLTmss0QPlKncUgqr1f0NYr9HobZdhGi1un3fYimFprK2rNrLZRVrySljkwMA1trKVFoCq1bX6CxrLdOrZFW6yapznaglq6yWnLpm1aVMpaUl0FY2vkyVtWSVlpZAW9H4MlXWsq4AQGlJCSp1rv+vzmWq5cbN0pISVLjJqWuWtQ43iJaUlEDHoEy13YxaUlICXYX7/Xzds9xv+0pKilHBIKv2MhWholzf6BwAqKh0P73FxUUoZ5BV23wBgKKiIuj1rv+vrmWq7biutpy6ZtXl+LGoqMjt/7Esk6Xc/bFpnZZTee3r7vXr190eB7Mq07Xr12Go5Xi7LlmWOiyn2rLqWqbasliVqU5ZRUVsylTL9uh6UVGt08KqTlRlNX57VKf1Se8+p64HshW1ZRUX1zo9dSpTHfa7RSUlKHezjtflvBAAyp0cH9G1AipTU5apuV3na+7XEz2Z1ZrLBNT9OnNjy+RJVKaaf9emOddzNZdTS20fcqc1lqml83Rbiid4okyebvOqTYtsnC8rK8Mbb7yBhQsXwtfXt8b7169fBwD4+/s7DFdeK+83RHl5udPvuJdlGc8++yyOHTsGrVZboxLYs1qt6NGjB1577bVGV/b7778fQNXCB1Dje7jXrFlT6zgsFottPK7odDrbtCpZU6dOtb1vtVqdzhf76TAYDI3OkmXZ7YVZJaesrAwPPPBAvXNmzZple7+2rC+++AJeXl6NzqprDoBas1pimezXnbpkVecuq2fPnrb1rKyszDb86NaPmOYAQGlpqe0CkX3WwewPVcuyz9m3aWW9cwD3666rMu3M+k+9sxpSpu/Xf1DvnIZmfZf2fr2zGpLz7df/qndOQ7M2pC6vd1ZDctZ/vqzeOQ3NWvtZ/bMauu6mrnpLtSz7nM//8/9UywEcy/Tx+/9ULcs+Z+W7b6iWAziW6f1lr6mWZZ/zzpJX6p0DVJ1IVFY6b7h2Vaalb75c76yGlOnN1/9a75yGZr3+yvP1zmpIzst/e7beOQ3N+uvzT9c7q6H1/Jm//Fm1LPucRX9+QrUcwLFMCxbMVS3LPufxuY+rlgM4lmnWY7NVy7LPmfnoo6rlAI5lmjFLvSyHnNmPMc9xlTXzcfXqhEN9mL+g3jkNzXrsz57ZRsx5xvk2Vo2s+c+/oFoO4FjPF770d9WymtO1AvuslnKtoKWUCXB/Xt0UZarLtTf7a5fOrvO5O44FGnadz1lOXa/zsSiTp65dsswRBAEajcZpTm3LiGVWXZcTULfrzEqWsxxRFOs0/+rqueeew6lTp2zLTFkHo6KiMH/+/DqNoz5lUnKmTp1ap2UE1L9My5Ytww8//GCbf9OnT4e/vz+SkpJgNBrrNI76rruyLGPKlCngOK7WZQTUr+5Vp9VqVa/n9nWP1XJyd41bEAQIguAw7+yvW7Ng33hYVlZmO+5pDGdlclYWRV3KVJ8bIhqCVdnrw5NlqktbisLdsnKGdZ2sq4aUSZZlcBwHjuPc7nertw/Vdhzm7Fiivsex3t7etZYDaKGN8++99x4CAgJwzz33eDz70KFDTofbn0zyPO+2AguCgNLSUhw9epRZRXc1nqNHj9b62bp0869UdFeUldyVn376CTqdjkmWO0pOXe5+aUyOkqXX61XPUnKA2p9maIllqn4hhmWW/XrWnJYTqywWOe7W3ZZapuaSRWVqWWUCWk89pzI1nzK5u1mzpZapuWS15jIBradOUJmoTK6yWuO6e7OWyZNZVM+d5wBUpsZktcbz6rpce6vt2qW741gly5PX+ViUyVPXLlnmCILgMqe2ZcQyq645QN2uM7vKUobVZf7VldLDrrLMJEkCAGzfvr3ODdn1KZN9ueqyjID6l2n79u0A/phfpaWlKC0txdq1a3HLLbfUaRz1reccx9kawwD3ywioX92rzn5d9kQ9Z7Wc3F3jFgTBlqPMO9btQ/blr2+dcsVZmZyVRVGXMqn9ldOsyl4fnixTXdpSFO6WlTOs62RdNaRM9tsjd/vd+rYP1XYs4Y5yHDZo0KA6/X+La5w/d+4cPvzwQ7z77ru2Lg1KS0ttv2/cuIE2bdoAAIqLixEYGGj7bFFREQDY3m+IPn36uFzQb7/9NsrLy/Hee+9hx44dAJx3tfbQQw8hISGBaSV31aVbz549a/2s/Z09+j5TAd5JtTiVBtla6nIcXPBQ6Nt2dxwoWVF+6BMAwO233267g03h228aOCdZlUdXu87hOPgNeMRhmCxZUXLgY5c57QdMAsfX7O77xk/rAXdl4jgEDJpWLasSV/Z9DgCIiIiokdVx0GRAqJlVdNB1DwYcx6Fj5EOOA8VKXNiz2iEHcFxWoUOngKuWdfXYBoilV91m3XLndMcyiZU4t+Mzl2W67c4HwTspU8Guz93mdBn+sMMwSazE2R8+rVEmoGrdqd6jhSRJKCkpAQA8/bTzp9OUrGXLlsHX17fGwVSbNm1s64Qsy/jiiy/cboRnz/7jiafq6xTHcfjoo4+cfk6v19fowquuWc7W3bpmNbZMADBlyhTExsa2qjKpkaV2zmOPPeZwB2T1LJ7nPTL/WJZp3rx5tjuPm7JOtMZ1l8rUMsoEAJGRkXjkkUdqfK4ll6m51YnWWCblsy2hTlCZqExqlunJJ5+0nevXp0wNyWoOZQKqnlD797//zbRMzrJYlsk+y1mZBEFodfU8ICAAr73mvPce+yz78+r/9/xz0Du5ULzodec9DimZy19+yWFYeUUF/vyPqmxX1wr++fRTTrP+sth5j01A1XJa+oJjTzflFRV4+p9vOmTZ57zx5BNOc55b+o7LJ9Y4jsNbzzie35dXVOCZJW+7LdM/5s+FXlPz+tEL/3LeAxoAeBsM+Mccx545yq1WPL9sucsyvfL4bOg0Na9/LFn9Oa7fuOEya0LscAzp1cv2usJaib/+Pm2uyvT3mTOg1dbM+sfHn8Dq4rojz3F4/XHHMlVWVuJvK/7jskz/mDUDOic5X27Zih9PnXZZpr7duuJPI+MchlVUVuL5D6qynF1/e2X6Q06z/p2egd+uXHGaoxUE/H3WzBo5f131kcuclx6cDJ2T+vB1bh4O//KLyzIlRw7B4O7hjllWK176dLXLrBcfSHGatTQjC0Wlzq8pJg8ehEHdutbIefmLVJc5L9x7t9OcvafPYOOBg3C2RvW+5RaYhtRsAKiwWvHqf//nMutZ0wSnWfvOnsWmHw/XGA4AIW3bYNrwYTVyXk/7xiEHcKznf0lMgE4j1Bjf/vxfsfmnnyBKNUs2tncv9A9zbGCusIr4v8ysGll10bVrV5w6dcq2XRKEqumJioqq03VzwLFMT46Kg1aoWaaDBQXYfvYXVIoSJFmGLMvo0TEQCRG3Ox1npShiyeatDSpTVFQUfvjhB1uZfHx8bE/ON6RM86KHOi3TV0eO4WJpKTgAeo0Gt/j54WJpKfoFdUSfjoE1/r9SFPFO3g6HMtnnzBkyGFrBfUO4LMvIPvsLTl6ruk7cvV07jO58q5MsCe/u2u0y67GB/aF10uh+5MoV7Ci8gMrfb9IAgPC2bRAf5vymhkpJwnt79zvkuKO0DyksFgseeughiKKIoKAgJCQkYNSoUQCqjhlYtg/Zl7++dcqd6mXatGkTPvvsM4iiiI8++sghpy5lUvspc5ZlrytPl6m2thRFXl4ecnJyEBsbi+joaIf3amtL8bT6liksLAwnTpwAAIwZMwbR0dG1lsl+OSULWqeN4/tlGYUuplEry0io1k5mBZD++9cEV2/zqk2La5z/9ddfUVlZ6dCtk2Lq1Kno168f/t//qzrhOHXqFLp2/eNg6NSpU9BqtQgLC2twvnK3qys+Pj54/vmqE5qysjLcddddAIB169bZurFi6Ztvvml0jsMKx2tqNPgCALrfV+9psz+88vLyqvGdC5yLLF2fh+qd5S6H13o7zfG7I6XGsNrIdt/H7TRL5+20Ibv94IdrDHNHcpIDVLvI4SQrsO/d9cpxlWWfo3FRprCYGY3Osefj4+Pys9988029slxxl2Gfw2LdrUuWp3IAKlNjsjyRs27dOgCeKxOLrNpyvv76ayY5dclqjXWCytT4LCpTw3OAlrXutsYy1TWLytTwHIDK1JgsT+QoX9FGZWpYlqe2sUpWSypTXbNYXmvx9/V1ej3pg9f+Ua9x2l8cd3WtwN/X12mj+XsvvVi/LLunwJxdK3CVs/z5ZxudA1Qrk7e306xlTy9qdJZ9jp+LnJcenVljWH1zAMcy+brI+r9qje8NyXK46Uerhd5Jg/mDY+r2xLAr9cmaP9HENkejcZozKa7mgwcsspzdcPCUaQL7HCcN5lHdwxFV7YYCtbKGduuGod26NSoHqHbTmUZwmhXZpTMiu3RudFZdvP3220y351rBeZkGh4VhcAPbHOpbpmeeecahTF9++WXjy+SkcX7yHb3rNU57zuqeVuCd5lSXWO3mlgZl8c6z+gcGon9gzRsL6pNTG/tjDOVpYFEUsXz5clXahxT25a9vnaqNfZnuuusufPhh1de4tmvXrnFtUSpgXfa6aIoy1eUYPSIiAtOnT6/1/5oLtctkv5wMHAeNk+UWJQNO74irGgPAO37GandDan3rXotrnO/Zsyc++eQTh2FHjx7F66+/jpdffhl33HEHwsLC0LlzZ2zYsAGjR4+2/V9mZiaio6M93q0FIYQQQgghhBBCCCGEEEIIIYSQm1uLa5z39/fH0KFDnb7Xu3dv9O5ddUfXvHnzsGjRItx6660YOnQoMjMzcfDgQXz22WeenFxCCCGEEEIIIYQQQgghhBBCCCGk5TXO11VycjLKysqwYsUKfPDBB+jSpQuWL1+OAQMGNPWkEUIIIYQQQgghhBBCCCGEEEIIucm0isb5oUOH4qeffqox/L777sN999X/u9IJIYQQQgghhBBCCCGEEEIIIYQQlvimngBCCCGEEEIIIYQQQgghhBBCCCGktaPGeVJ3V38CTv6v6reKxCvHUHH8a4hXjqmao6i4dAwlR/6Likvq5VkuHMO1H/8Ly4VjttdX93+Oq/s/tw1TS+n5o7i4/yuUnj/KdLwlBUdRsOdLlBQcRUnBUfya9xHyc/+DX/M+QkkB26zWThAEzJw5Ew8++CCysrKaenLITUYQBCxYsEDVuicIAnQ6Hcxmsyrjz8rKwqOPPqra+J1RyrRs2TI8+uijqs0/s9kMnU4HvV6PZcuWqZKhUHs5OWM2m1Wdf01RJrV5uu4JgqDK+JsqizRvWVlZWLBggcfrgif2hZ7MIQ3XGveFntzG2s8/5fiM6nvzlbNrN/627B3k7Nrd1JNCCCGEEELITYUa50ndXT4MVBZX/VaReOkwUFFc9dsDKi4cglxejIoLh1TLsJw/BKm8CJbzh2yvZasFstViG6aWGwWHIFqKcKOAbU7xbz/CailC8W8/ovi3HyFLVgCALFlR/NuPTLNaO0EQUFRUhOvXryMtLa2pJ4fcZARBQGFhoap1TxAE8DyP9PR0VcaflpaGgoIC1cbvjFKm7du3o6CgQLX5l56eDp7nwXEctm/frkqGQu3l5Ex6erqq868pyqQ2T9c9TzTmeDKLNG9paWkoLCxsksZ5tfeFnswhDdca94We3Mbazz/l+Izqe/P1bV4eLl65gm/z8pp6UgghhBBCCLmpUOM8qbuA3oDWr+q3ioQOvQGdX9VvD9B17ANO7wddxz6qZRiC+oDX+8MQ1Mf2mtMYwGkMtmFq8QnpA8HgD58Qtjl+ne6AxuAPv053wK/THeB4DQCA4zXw63QH06zWThRF+Pv7o02bNjCZTE09OeQmI4oigoODVa17oihCkiQkJyerMn6TyYSQkBDVxu+MUqaoqCiEhISoNv+Sk5MhSRJkWUZUVJQqGQq1l5MzycnJqs6/piiT2jxd90RRVGX8TZVFmjeTyYTg4GCP1wVP7As9mUMarjXuCz25jbWff8rxGdX35mt0dDQC27fH6Ojopp4UQgghhBBCbiqapp4A0oK0u73qR2VC+wgI7SNUz1HoOkRA10HdPEPHCBg6Rrh8rSbvoJ7wDurJfLy+IT3hG9LT4TVpGFEUsWLFCnh5eTX1pJCbkCiKWLp0qar1TxRFiKIIo9GoyvgTEhKQkJCAsrIyLF++XJWM6pQyzZ8/X9V5ZzQabWWaP3++ajmA+svJGaPRiAkTJqg2/qYok9qaou6pzZNZpHlLSEhAXFwc7rrrLo/memJf6Mkc0nCtcV/oyW2s/fzz8vJCQkKCR3JJw8QOGYzYIYObejIIIYQQQgi56VDjPCGkxRgzZozt702bNjXhlBBCCCGEEEIIIYQQQgghhBBSP9StPSGkRfjqq6/cviaEEEIIIYQQQgghhBBCCCGkOaPGeUJIi7BixQq3rwkhhBBCCCGEEEIIIYQQQghpzqhxnhDiliRW1vojWisgWitq/b+GeuCBB+o1nBBCCCGEEEIIIYQQQgghhJDmhr5zvhURBAHTpk1DRUUFhg0bhkWLFrENuPoTcGEfABGQAUACZBnw7wyExjKLEa8cg3jpMIQOvSHdOA/5+mkAANemC7RhI5jlAMCNn76BVHrZ9pr3DoAsVkDXsQ90HSKYZhX/vBWV185A27Yz/LrFwXLhGCznD8EQ1AeGjuyySs8fRfHZnZAlq22YxqcDOtxxV4PGd3rbh06HC4IAjeaPTYgsy+A4DgAgSRIqKxveGG+vqKgIRUVF0Ov1Nd4rLi7G2rVrMXHiRCZZWVlZWLFiBaxWqy0vJSUFABAYGIiVK1cyyQGAJ598EidPnoROpwPHcUhJSYEgCJg1axYSEhKY5QDA4sWL8f3330Ov10OWZUyePBmSJKmynTCbzQ7zjuM4cBynzjYJgFarBc/ztqzhw4czzVm8eDFycnIcyuTr64uysjLExMQwzVLqRPW6FxsbyzQnKysL77//PmRZdqgToiiqMv+2bdum+vrkbt0NDw/HkiVLmGU98sgjuHjxosO6y/M8Hn30Uebrrn0WoF6Z7OueLMu2eu7n5weTycS0XM7WKa1WixkzZjDNycrKwtq1ax22EQDg6+uLzz//nGnO559/7rCf8sRyAoAHH3wQAQEBzJcRANx3330oLy+31YkHHngAOp0O06dPZ5qllAlAk+x3AXXqhP02FlCvTtx9990O2705c+bgypUrzJdVVlYWVq1ahfLy8hrbIzW256tXr1Z93gHOt+dq5HhqX6hsXwE4bM8BdebfnDlzHLZHVqtVle2EspyULLWOY5V67oljvur7wmeffRZvv/02s/ErlH2Usj0Hqm5uliRJlTqxbNkyW92bOXMmgKrlpcZ+g+d5hzrh7e3NPMv+WILjODzwwAPo2rUrbty4wXTf+92OHUhNz4BVFHFbaCien/M4k/E6k7NrN1IzMyHJsm2YXqfD3UYjYocMViVz2569yN6+A/FRQzF80EDm4//om3QcOH4cnQIDcbWoCACQOCwGwwb0Z56Ve+Agtu7Zi7hBAxHTry/z8Te1z7/NxsFTp9G3axdMGh3f1JPDzI6fjiP3yFHE9OqJobf3YD7+nSdOIvfoMcT0jEBk93Dm4yeEEEJI60RPzrcigiDAYrFAkiTk5uayD7h8GJDKAckKyFZAlgDIQNEZpjHipcNARTHES4chX/9j3PZ/s2LfMK+8lsuLUXHhEPOsymtnAFmq+g3Acv4QpPIiWM6zzbpRcMihYR4ArDcuMc0Aquqb0vBa/Yfn2W1apk+fDp7nXeasWrWKWVZaWhqs1qp5p2QoLl68yCwHgK0xQikbAIiiiLS0NKY5AJCbmwtJkmzzzGq1qradSE9Pd5h3siyrt02C4/yTZZl5jjI++zKVlJRAFEXmWUqdqF73WOekpaVB/v2CnH2dUGv+KTfuqLk+uVt3lfnKijLt9jmSJKmy7ipZ9vUcYF8m+7qnbL9LSkpQUFDAvFzO1qnKykrmOWlpaSgsLKwx70pKSpjnXL9+3Wk9V3M5cRyHiooKVZYRAJSXlztkSZIEi8XCPMt+Hnlqv1s9R406Yb+NVbNOVN/uXbp0SZVllZaWBovFAlmWa6xTamzPi4qKVJ93gPPtuRo5ntoX2u/DPTH/Ll265LA9Ums7UX05qXUcq9RzTxzzVd8Xnjp1iun4Fco+yr5ckiQBUKdObN++3Zaj3GCt1n5DObdR6oQaWfbHEjzPQ5IknDx5ssH73vKKCpSXl9f42bTte1hFEQBw9tw5WCwWp/9n+6moaHCZvs3Lc2iYV6br27y8Bo+zNtnbd+Di1avI3r5DlfEfOH4coiQh//x5lJSVoaSsDFt27VYla+uevbh07Rq27tmryvib2sFTpyFJEg6eOt3Uk8JU7pGjuFxcjNwjR9UZ/9FjuFJSgtyjx1QZPyGEEEJaJ2qcb0VEUYTBYADP84iJiWEfENAb4PUArwE4DcDxALiqJ+cZEjr0BnR+EDr0Btfmj3Hb/80K7x1Q4zWn94OuYx/mWdq2nQGOr/oNwBDUB7zeH4Ygtlk+IX3A8Y6dYmh8OtRrHAaDAevWrXP7M2vWLBgMBgBVjaKy3Un+sGHD3H5W+VxdrFq1CpIk2TLsfyRJwvTp0+tVNndMJpOtN4DqZQoMDGSWA1Q9wQTAVjag6oYHk8nENAcAYmJiwPO8bZ5pNBrVthPJyckO805p7FNlmwTH+cdxHPMcZXz2ZfL19YUgCMyzlDpRve6xzjGZTDVuntBoNKrNP47jVF+f3K27ynxlRZl2+xye51VZd5Us+3oOsC+Tfd1TLtr7+voiJCSEebmcrVNarZZ5jslkQnBwcI155+vryzynTZs2Tuu5mstJlmXodDpVlhHwx1PsShbP8zAYDMyz7OeRp/a71XPUqBP221g160T17V6HDh1UWVYmkwkGg8HWsKf29tzf31/1eQc4356rkeOpfaH9PtwT869Dhw4O2yO1thPVl5Nax7FKPffEMV/1fWHXrl2Zjl+h7KPsy6XchKdGnYiKirLl+Pv7w9/fX7X9hnJuo9QJNbLsjyUkSQLP8wgPD2/wvnfuiy9h5rPP1fj57fx5h/PbWc897/T/lJ+5L77U4DKNjo4Gb3fjDlD15Pzo6OgGj7M28VFDEdiuHeKjhqoy/n49ekDgeYQFBcHXywu+Xl4YqVIvAHGDBqJD27aIU6EHgOagb9cu4Hkefbt2aepJYSqmV08E+PkhpldPdcbfMwLtfX0R05Nt75uEEEIIad2oW/tWRBRFfPzxx/Dy8lInoN3tVT8qE9pHQGgfYfsbjLuyt+dz+wTVxl2dX7c4h9eGjhFMu7NXeAf1hHdQ4046OI6rtR5NmDABEyZMQFlZGe66q6rL/HXr1jGvf8qFncuXL9d4LzAwkFmX9gCQkJCAhIQE1csEAEuWLPFIDgAsWrQIc+bMsWV99dVXqmUZjUYsX74cgLplUihfn6BWVvV5p2aZPFUnnNVzteqEp+afJ9fdlStXemzd9VRWU26P1KwTcXFxraruVV9OX375pWrL6auvvvLINkLpUrk11XNP1on//e9/Djnvvvtuiy+Tp9ZdwHPbWE9t9xYtWoRFixZ5bHv+7rvvemR7VH05qZXlybpXvU68/vrrquR4ct0FgPnz5yM7OxsAsGLFCo/tNzxVJ9TaF4qiCPH3J+fVFjtksGrd17syfNBAVbqzVzw0IVm1cVcX069vq+zOXjFpdDwmNfVEqGDo7T1U6c5eEdk9nLqzJ4QQQki9UeM8IaTZ++KLLzBmzJgaw1evXt0EU0MIIYQQQgghhLin9EhXFxaLBSkpKQCA1NTUOvU2V58e6QghhBBCCCHNBzXOE0JahJkzZ2LFihUOrwkhhBBCCCGEkOaoLj3SOWMwGFTvgYwQQgghhBDSdOg75wkhLUJISIjb14QQQgghhBBCCCGEEEIIIYQ0Z9Q4TwhpEf7+97+7fU0IIYQQQgghhBBCCCGEEEJIc0aN84SQZu/Pf/5zvYYTQgghhBBCCCH1IcsyysrKbD8Wi8X2nsVicXhPluUmnFJCCCGEEEJIS0bfOd8KmM1m6HQ6iKIIs9mMjIwMmEwmJCQksA26+hNw+TAQ0BtodzvbcTeRikvHUF6wFxw46EIGQCwphPXaGWjadoZX5zhmOZYLx1D2214AgMavEyqv/wJIVoDXwPuWSBg6RjDLuvTjOlhvXAKv8wHHC/AJ6QPvoJ7Mxl/dnDlzoNfrIcsyFixYgIkTJzKte2VlZThy5Ah0Oh04jnN476effkJZWRnT7+NbvHgxcnNzbXnLli3DX/7yF2bjt8/Ztm2bbd7df//90Ov1mD59Ovt193eCIEAQBJjNZkyYMEGVDGV7xHEcZs6cicmTJzMvT1ZWFtLS0uDl5QW9Xg8AqmUBwLJly2w5atUHe4IgQKPRICUlBYGBgVi5ciXzDKWea7VaVFZWqrvv+J0gCKpsI+zZ7w/VpqxPKSkp4DgO/v7+mDRpErOyPfnkkzh58iS6du0KANBqtbj//vsBAMOHD8eiRYuY5Cg8Ne+ysrKwevVq6PV6SJKkap2w3x498MAD6Nq1K27cuKFKPffEsVhWVhbWrl0LrVYLjuNU3ZbbEwQB06ZNQ0VFBYYNG8a07inb86SkJNu2T819x9q1ayEIAniex6RJkxATE8N8XcrKysLnn3+O8vJy274jJSUFsbGxzLMUWq0WPM+ruo+yX3cBYNq0aaoesyjMZjO++uoryLLMtF4o5amoqPDIeZQn90+AZ4757HOWLVuGQ4cOqbKclG2EJyjLSZZlzJw5E6WlpZAkifm2z5Pst31q1j9lnfLIdQmos9+VZRkLFy7EkSNHHIYr29gpU6ZAkiTbvIyIiMCSJUtqnKPWl7N67oljc0/btmcvsrfvQHzUUAwfNLCpJ4e4kHf4CHIOHERsv76I7t2rqSen2dt54iRyjx5DTM8IRHYPb+rJabH2nP0FO06fwdAunTHotlubenIIIYTc5E5zwEkOCJeBLirej0tPzrcC6enp4HkegiAgPT0dBQUFSEtLYx90+TBQWVz1u5WouHAIsJZD/v/s3Xt8FNX9P/7XzOxuNgjhDuESbgYFEuUqlwaRfmzyMZjCqrWJIBUr4MdyKy1+FWsV0UL7EaFcvKIVL9gEqiT9RPL5kfqpRdJwMUE0XJTILcYESIAsl2x2d2Z+f6wzzG42Sy7nzCbL+/l47COZ3WTec86cc+bMzJ4zXhfcZ0rgvXACUFXfT4Zcp0ugel1QvS54Lpzw3ZgHAMUL1+kSprG8l6t8q3Zfhuxy4nIF2/UHqqqqgiAIEAQBlZWVzMveb3/7W/1CuhbH+GI9er6goACyLOvr3717N9P1G+OoqgpBECCKIlRVhcvl4lN3f6DlY25uLrcYWnskCAKcTieX9GRnZ6OiogLHjh3T9xOvWACwe/du7uXBSJIk/SLf2bNnucTQyrko+roBXI8dP5AkiUsbYWQ8HvKm1SfAdzG3pqaGadpKS0sBAMeOHQMAvZ1QVRUFBQXM4mjMyrvs7Gw4nU697eNZJoztkaIoKC0t5VbOzeiLZWdno7KyEqIocm/LjSRJgsvlgqIozMue1p7n5ubqbR/PY0dlZaVed2VZ5lKXsrOzUVNTA5fLpR87AHCJpdHKOc9jlLHuCoLAvc+iyc3NRU1NDfNyoaXH5XKZch5l5vEJMKfPZ4yze/dubvtJayPMoO0nURThdDrh9Xq5tH1mMrZ9vOM4nU5zrkuA33E32I12rY3V4rGuy8HKuRl9c7N9snsPzp4/j0927wn3ppAQdh74EtVOJ3Ye+DLcm9ImFBw+gnOXLqHg8JFwb0qbtuf4CZy/cgV7jp8I96YQQgghKBWAy4KA0pZ9B/ea6OZ8BEhLS4OiKJBlGWlpaejVqxccDgf7QF0TAGsH388IYeuRCFiiIFjssPVIhKXTAEAQfD8ZsvdMhGCxQ7DYYe00ABB/mLRCtMDeM5FpLMsN3Xyrtt0AyR6DG3qxXX+gbt266TeMYmNjmZe9l156CbIsQ1EUPY7x9dJLLzGNl5SUBEmS9PWPHz+e6fqNcQRBgKqqUBQFgiDAbrfzqbs/0PIxLS2NWwytPVJVFTExMVzS43A40KtXLwwaNEjfT7xiAcD48eO5lwcjWZb1aTK7d+/OJYZWzhVFAQC+x44fyLLMpY0wMh4PedPqE+C7kNuxY0emaYuP94280EbOa+2EIAhISkpiFkdjVt45HA7ExMTobR/PMmFsj0RRRHx8PLdybkZfzOFwIDY2FoqicG/LjWRZht1uhyiKzMue1p6npaXpbR/PY0dsbKxedyVJ4lKXHA4HOnbsCLvdrh87AHCJpdHKOc9jlLHuqqrKvc+iSUtLQ8eOHZmXCy09drvdlPMoM49PgDl9PmOc8ePHc9tPWhthBm0/KYqCmJgYWCwWLm2fmYxtH+84MTEx5lyXAJ/jriAIWL16NXJycvxeEydOhCRJmDhxIubOnYvY2FjMnTuXyah5IHg5N6NvbrY7x49D986dcef4ceHeFBLCpOG3omtMDCYNvzXcm9ImJA0dgi7t2yNpKLvZMK9H4wYOQOd27TBu4IBwbwohhBCCeBW4QVURz/kpVjStfQRITk7Ghg0b9N+5TV3Y+eaImc5eY+s2BLZuhk50Nz4danuPIUynrg+l2y3TTImjefnllzFtmi/m2rVrmU4xDwDR0dEYNmwYvvrqq3qfDR8+nHm8JUuWYN68eXqaFi5cyHT9DcXJyclhnpZAsixDlmUkJydzi2FsjzZu3MglTampqUhNTUVtba2ef7xiAb4y8Mknn+i/86btJ55lIrD8cT12/ECWZS5thJGx/PHGez+tXr0aAPRy7vF48Le//Y1b/pmVd6mpqZg8eTLX44bGmCbebawZfbHAvOPZlhvJsox33nmHe3u+YcMGyLLM9dih5Z8sy9zqU7BjFO/y5/F4APA9RgWWvy1btnDvtwB861PgfuJ5LDTz+ASY0+czxlm4cKEpbQRvZvRjzRZYd82Kw7tvyeu4KwhCvf0e+LgQ1ukKVs7N6Jub7fbRo2g6+zZgQsIwms6+CcYOjqfp7BkY3b8fTWdPCCGk1RjIeTp7DY2cJ4S0eg2Njn/xxRdN3hJCCCGEEEIIIYQQQgghhBBCmoduzhNC2oRf/epXIZcJIYQQQgghhBBCCCGEEEIIac3o5jwhpE14++23/ZY3bdoUng0hhBBCCCGEEEIIIYQQQgghpBno5jwhpNXLyspCbW2t33tXrlxBVlZWmLaIEEIIIYQQQgghhBBCCCGEkKaxhHsDSMutW7cOUVFRUFUVixYtwj333IPU1FT2gc5/DZz9AlBVwNYecJ0DYgYAfSYxDeMp+xfUmuOAaIEUOwYAIFcdhNQtAVKXIUxjaWpPfArv+eO+BUFEVN9xsHVjF8t15giufLcXULz+H4gWtOs7FvYe7GJdOPpPuKqP+RYEEYAAqDIEyYaet81kFkczb948REVFAQDy8/MxdepUpuv3er146623IEkSJEkCAAiCAMA3ev6+++6DxcK+KbNarRBFERkZGVBVFfHx8Vi9ejWz9efl5WHjxo163c3Pz8f777+Puro63H777ViyZAmzWBotD2fMmAFFUTBx4kSmcfLy8rBt2zY97x544AEoisI877RYb7/9tl720tPTMWnSJC75prFarcjIyAAAbvsIAGw2GwRBwLx582C1WuFwOJi26Xl5ecjOzobH4/HLPx776Te/+Q1KS0sRFRUFRVEwZ84cCIKA6dOnM03TqlWrsHPnTgBX8++hhx7Cww8/zOV4uHTpUj3v5syZgxEjRuDo0aNM91VeXh4++OAD1NXV6e1ERkYGoqKimKdr1apV+Oyzz/Q0zZw5E263G6Io4tFHH2WeJlVVIUkSZFlGfn4+Pv74Y+blXKO1ew888AAGDRqEy5cvM48VmH9Lly5FbW0ttzRp1q1bh927dyMpKYl5e5SXl4fNmzfrZW/OnDmYMWMG8/RocQBfGysIAtatW4djx45xLRMWi4XbsTBYezRjxgy0a9eOeR6uWrUKBQUFsFqtXNtYwP8YLwgCli5dipMnT3Ipf8DVusujbwlc7Ue4XC5ERUXB6/Ve+59aID8/HzabTa9PALjUKY3WF+N5LNTOQRVFAXC1f8Gj32Ise7zbCA3v45OxTCxatAg33XQT876EMRbv9nzVqlXYtWuXKeXceNzVzqN4tBNm0sq5dr7Lu53Yue9z/KOwED+ZMAGTbhvDfP0A8FlRMT7ZvQd3jh+H20eP4hLDbAUHvsSnRcWYPHoUkobfGu7NISHs+fobFBw6jKRhQzHu5pvCvTlM7fv2GAqPHsWEwYNx242Dwr05LVJ08hT2HD+BXh1jUFHjxLiBAzC6f79wbxZpBb46W4Xi02cwqmcP3NK9W7g3hxBCuKCR8xFg9+7dEAQBgiCgsrIS2dnZfAJVHwRkF6DUAa5qACrgPME8jFrzwzoVL+Sqg5CrDgLui76fnHgvnDBsgAL3mRKm63edLql/Yx4AFK/vM5axzp24uqAqgCr7fpXdTONoqqqq9PKXm5vLfP3aRXtJkiCKoh5LEARIkqR/zpoWS1VVAEBpaSnT9WdnZ8Pr9frlncvlgqqqKCgoYBpLo+Wh1+uFoijM42RnZ6OyslLPO+1iLeu802K5XC49/wBwyzeNKIpQVZXrPgKgp6mqqgoVFRXM2/Ts7GxUVFT41V2Az37S1ikIAkRRhNPpRE1NDfM0GfeHliaXy8XteHjs2DE9jtPpREFBAfN9lZ2djZqaGr2ca+WPR7oKCgqgqqqeJrfbd7xQFIVLmpxOp37xOTc3l0s512jtnqIoKC0t5RIrMP+OHTvGNU2a3bt3Q5ZlLu1RdnY2nE6nX93lkR4tjtPphCiKEEURu3fv5l4mBEHgdiwM1h55vV4ueVhQUABZliGKIiRJ4tbGAv7HeFEUcezYMW7lD7had3n0LYGr/QgAep+Sp9zcXD3vtDLPs43Q+mI8j4XaOago+i4paP0LHv0WY9nj3UZoeB+fjGWisrKSS1/CGIt3e15QUABFUUwp58bjLs92wkxaOde+mMS7nfhHYSHOnjuHfxQWclk/AHyyew/Onj+PT3bv4RbDbJ8WFaPqwgV8WlQc7k0h11Bw6DCqL15EwaHD4d4U5gqPHsW5S5dRePRouDelxfYcP4HzV67gSOVpnL9yBXuOnwj3JpFWovj0GdTU1aH49JlwbwohhHBDN+cjwPjx4/UbRrGxsXA4HHwCdU0AJDsgRgH2rgAE38h5xoSOP6xTtPhGy3dLAGwdfD85sXQaYNgAEbYeiUzXb++ZCIhBRneLFt9nLGN1GXB1QRAB4YfR5pKNaRxNt27d9PKXlpbGfP0zZswAAMiyDEVR9FiqqkKWZf1z1rRY2o3L+Ph4put3OBywWCx+eWe32yEIApKSkpjG0mh5aLFYIIoi8zgOhwOxsbF63mkXa1nnnRbLbrfr+QeAW75pFEXRb7TwjKWlqVu3bujVqxfzNt3hcKBXr15+dRfgs5+0daqqCkVREBMTg44dOzJPk3F/aGmy2+3cjoeDBg3S48TExCApKYn5vnI4HOjYsaNezrXyxyNdSUlJ+peRVFWFzeY7XoiiyCVNMTExkGXfF8fS0tK4lHON1u6Jooj4+HgusQLzb9CgQVzTpBk/fjwkSeLSHjkcDsTExPjVXR7p0eLExMRAURQoioLx48dzLxOqqnI7FgZrjywWC5c8TEpKgiRJUBQFsixza2MB/2O8oigYNGgQt/IHXK27PPqWwNV+BAC9T8lTWlqanndamefZRmh9MZ7HQu0cVPsypta/4NFvMZY93m2EhvfxyVgmYmNjufQljLF4t+dJSUn6l+F4l3PjcZdnO2EmrZzLsqy35zzbiZ9MmIDuXbrgJxMmcFk/ANw5fhy6d+6MO8eP4xbDbJNHj0K3Tp0wOUJmAohkScOGomuHDkgaNjTcm8LchMGD0aX9DZgweHC4N6XFxg0cgM7t2mFIbE90btcO4wYOCPcmkVZiVM8e6BgVhVE9e4R7UwghhBua1j4CLFy4EJ988gkAYO3atYiOjuYTqPPNvhdn1rg7gLg7/N7jNZ29JnrAZGDAZG7rt/cYwnTq+lA6Df4xMPjHpsQCgJdffhnTpk0DACQnJzNfv8ViwSOPPIK33nqr3oXTuXPncpnSHgA8Hg8AICcnh0udSk1NxeTJk/3yjvd0jNrFnq1bt5qSJl55Z3Ysjcfjwd/+9jfucbRRyy+//DK3/ZSamora2lru+bd69Wq/OBs3buQSZ8mSJViyZIlfrC1btnDbVytXruSeJjP305IlSzBv3jzueRcsTbzbPt7tHlA//1auXMm9nQB8/b8nnniCy7oD21gzy/nChQu55p9WJniVczPbo8Cyx2s/AfXLBO9yru0nHn1LIHjZ4yk5ORkbNmwAwHc/abR+LM9jofEcFLiap6wFlj3ebYSG9/HJWCa4nsPDnPJnZnsUGItXO2Ems467mkm3jeE2nb3m9tGjImY6e03S8FtpOvs2YtzNN0XcdPaa224c1Oans9eM7t+PprEnQd3SvRtNZ08IiXg0cp4Q0uqlp6fXuzjRrl07/OxnPwvTFhFCCCGEEEIIIYQQQgghhBDSNHRznhDSJmijPTTr168P05YQQgghhBBCCLkepKSk6C9CCCGEEEIIYYFuzhNC2oSnnnoq5DIhhBBCCCGEEMJKdnZ2yGVCCCGEEEIIaQ66OU8IaRNOnz4dcpkQQgghhBBCCGHllVdeCblMCCGEEEIIIc1hCfcGkIapqgqXy3XNvzP+TWP+XmO32yEIQrO2jQVV9rSq9ZBrC1YmQ5U/VmWsoSkEU1JSsGPHjhatO1xp4i0wXZGQJkIICaUp7R5AbR8hhFzvzDxuUN+87Zk5c2aD77/33nstWjfvc9A6t/ua8QFcc53XWg9pG9wedtfMWK6LkJZq7HVzoHnXzul4TAh/HkUJy3qa0n40tS3wqCrAIF2eH/prJHLRzXkOVq1ahZ07dwIAoqKiAADz5s3D+fPnkZSUhCVLljRqPS6XC9OmTQv5NzabDYIg6HF+8Ytf6J95vV7Istzg/+bk5CA6OrpR24LynYDzeMOfx44HOt98zdWohkbl0pfvBv0bLU0N/b87xAmi2oRGy111BHVlhQ1+3mHkw41e17WcK34fUBrYbtGGLqMeZBarcvdbDX5muaEbut0Sukw1RFVVLF68GIcOHQIAWK1WiKJv8o3A8qftp4SEBKxevbpFndmDBw+GLBO///3v8fzzzzdr3YFpkiQJFouvWeSZJgD4zW9+g9LSUj1Oenq6/ll8fDxWr17d7HUb02XWfgKutn3B0tS9e3e89VbDZbOpHnnkEZw9e7ZerKioKGzdupVZnFBpslgs+Oijj5jFaqhMtLQ8NBQHQL1Y7du3xwcffMAkTl5eHl599dWgcQC26TIed7X2gkeaAL5110gr40D9/GNdzkOliWXdDdY/YlXOA9vzUP0jRVHg8XiYtH15eXl488034fF46qXJrHaPday8vDy8/vrrUBSlXixBEPBf//VfSE1NZRJr+vTpuHTpEgD2ZaKhWLzTFKqNNWs/AcBjjz3GLE1avI0bN3LfT/fffz/q6uq476e8vDx88MEHuHjxoullLyMjA4IgYOLEiY0+L2yshtrzSZMmMY0Vqn/EI9Znn31WL5bVasXs2bObXSYaOreJioqCqqpMjxvXOkbNnDkTgiAwPT4BvnL+xhtvQJZlv/yz2+14+OGHmbYRWtkL7IdZLBbMmTOHaxu7dOlSnDx5sknXWq7l4sWLOH/+vF4ejPvi3LlzuHjxIjp06NCsdQeWB8C//AFXy0Rzz9cWvfCHoO9LkgRJkqCqqn6OqG1TqOssTfVZUTE+2b0H0fYolFWe9rtOk5F6F24fPYpZLAB48Z33UBYws15cz554/KHgX7BoroIDX2LbPz+FrChoFxWFWrcbNosFP510O5KG38o01p8zs1B29iwkUUTvrl3xXVUVrJKEn06ciB/dknjN/zfm+e/eeLPBv9PqbGA5b0yZaMr1NwDYffgIPispgd1mQ8W5c+jVpQtcbjduT0zE+KFDmrSuUPZ8/Q0KDh2G3WpFxfnzSOzfH+mTJjJbv2bv0VIUHD6CPl274NvK06jzeKAoChL798PPk37ENNa+b4+h8OhR9O7cGd+fP6//nDB4MG67cRDTWJqP9hXh8PffY2jv3rj3ttHM11908hT2HD+BcQMHYHT/fs1aR2Oum2vtHuA7biiK4tdvCaVJ180N3v28CKcvXoIoCLhzcDxG9Ond5HVc7746W4Xi02cwqmcP3NK9G9N1l1RVY3flaQgAxsX2RGK3rkzXr8nLy0N2djbuvvtuvRzm5+dj6tSpXOIBQH5+Pmw2W8j7Qa2B8fjxzslTXNff0OeBfTFtH8myXC//GtMPM8b84MyZkPFDxWrM+on5jgtAqQDEq8BAhruCprXnoKCgQP9dEAQIgoCqqirIsuz3GQva+oO9tM4HE84ToT+vPsgsVKg0sfzGovtMCbN1XVNDN+av9Rlj3stVLfp/Y/6LomjKflq8eHHIOF988UWL1m/cVkmSTEkTAP2iUrB1a5+1hLZOs/YTcLXtC7Zu7SYjK9r6AmPV1dUxjRMqTV6vl2mshsoEi/IQLE6wWNpNMhaMz+TkVc41wY67GpZpAvjXXY2xzvAu56HSxLLuhtpPLNs94/qDvYwXo1sqOzsbnh9GEAWmyax2j3Ws7OxsKD98yzswlqqqTJ+3a6yfvNs+LRbvNIVqY83aT9rnLGVnZ8Pr9XLfT1r7xns/ZWdno6amBoqimF72VFWFoijMzwuBhttz1rFC9Y94xNJuGhljeTyeFpeJhs5tAvvPLI4bjTlGsTw+Ab5yrl3wM+afy+Vi3kY0VPa8Xi/3NvbYsWPMr7U88sgjIffTI4880qL1B9abUOdsLEmSBFEUg8Zj6ZPde3D2/HmcqqisdzH5k917mMYCUO/GfEPvtdSnRcWQfzj2Xqmrg6qqqPN48GlRMfNYZT/0GWRFQdnZs76b5V4v/rV/P9M4Zl0rAIDPSkpQ7XSivKoKiqKgvKoK1U4nPithe22u4NBhVF+8iPJz56CoKkpOnmS6fj3O4SM4d+kSDp4qw5W6OsiKAhXAwVNlzGMVHj2Kc5cu49B35X4/C48eZR5Lc/j776GoKg5//z2X9e85fgLnr1zBnuMnuKxfo7V7vI61wZy+6Ov7KaqKfWXfcY8XiYpPn0FNXR2KT4e+ydkc+89WwSXLqJVl7D/bsuvkoWRnZ6OiogK5ubl6OczNzeUWDwByc3MhiiLbe0IRKvA4p+0jM/LOzFiEjVIBuCwIKGXcPaKR8xwkJSXpI8O0E5Hu3bvrI+ebZehMQKy/u9QTOYB8pf7fCxbIPUYAHQf7v694gcPNmIItZkDokfNdExq1GmPD1/7WX0CQrPX+xnN4c8j/7zDS/0RYlT36KPymnEDYeiSGHDnPlGgLOXLeLJYbmv9tQ0EQsHr1an3Kl3Xr1jV4AcRisWDLli1MpoBas2YNnnjiiQY/HzFiRLPXHZim/Px8vPlm8G+VR0VFMUsT4BuVVVpaGnRKwfj4+Bat25gus/YTcLXtC5am7t27t3j9Rt27d8fZHy5SGGNpo01YCZUmbZYFVhoqEy0tDw3FAepPadm+fXtmcRwOhz5ynkc5Nwp23OWRJoBv3TXSyjhQP02sy3moNLGsu6H2E8t2D/CNVG3oG8gTJ07EwoULmbR9DodDHzkfmCaz2j3WsRwOhz4iOzCWIAhwOBzMYrVv316/ccm77dNi8U5TqDbWrP2kfc6Sw+HAxo0b/b6MArDfT1FRUaj74YaHMQ7r/eRwOPSR88ablwD/sqddIG72eWEIDbXnrGOF6h/xiPXZZ5/5fRkF8I00bkmZCHZuU1hYCFEUoSiKHg9o+XEjMNYvf/lLXL58GYCvP9mvXz+cPHkS48ePZ3Z8AnzlXBs5b9xXdrudeRvRUNmzWCzc29gbb7xRHznPyltvvYUHHnjAL45GUZQWzYISWB4AX/n797//DVVVYbfbIUkSLl++jO7du+Pll19uVJmw2+3IyckJ+Tf5+fn4n//5H3z//fd6WwT42qktW7Zcc/2Ndef4cQ2OnL9z/LhGr6ex4nr2DDpynrXJo0cFHTk/mfFMAAAQ17170JHzd4wc2aj/N5aXP8ydDZu1/rU3AFiVuQU1ly/DarHAa+g7d2rfHktm/7Le37s9Hn0kflPbqdsTExscOc9S0rCh9UbO85A0dEjQkfMJ/eKYx5oweHCDI+d5Gdq7tz5ynodxAwfoI+dZWPKfybAFudF1oLwcRae+Q5RFwtlLlzG4R3fcndjwNWy3LGPV/5ffom3p2aG9PnL+tri+LVrX9WpUzx76yHnWRnbvpo+cH8l4VL6Rw+HQR85r18bS0tK4xdPWr/X9WjPj8eOh/v1gZfClGY+i6KPwr3V8CtYX2759O95++23IsoysrCy/fk9j+mHGz6f36AFriL8vravD1243brbbEd+5c8NpUlV9FD6PL82RxotXgVKoiGc8gQHdnOdgyZIlWLJkCWpra/XpdV5++eVmTYWjEy2AWL8z7R70s+avsyn6TPK9GBIka9Cb87bEWUzjNMTWbQhs3dhNnRUKy2nrryV2fMu+xR+KIAh6OQ51w5ylhISEkNOpNXdKe40xTVOnTuU6vZDR6tWr/dqI5k6X1RAtXWbtJ8DX9s2bN49bmozeeustrvmnMTNNvMuEMQ4A7rFSU1ORmppq2n4KPO7yzD8z4mgXfSMpTbz3k7E937ZtG5N1XouZ5dysds/MNGmPnDArFrWxLYs3efJk7rG2bt0akeXcrP1kZntuVv+IZywzz22Msf76179yjaUxs5yHsx+7cuVK5rE6dOiAzp0743SQ0de9evVq9pT2GmN5ANiUv8B1BjN16lQkJydz30+3jx7FfOr6UFhPX9+QpOG3Mp++viG/zmjctNuNYbNaEdXAzfnfzZzBLM61jB86hOn09Q0Zd/NNGHfzTdzjjB0cj7GD2X6hryG33TiI2/T1DfFNZc9+OnvN6P79mj2dfTA2SYItyACK2/r3x22cvqDRkF+M4Zdv14tbundjPp29JrFbV25T2RsZ+2EbNmyALMtITk7mGjM5ORkbNmzgGoM1qygyuTnfVIH9pilTpuD1118H4LsZ35L+kVUQQqZpaHQ0hjZm/QyeW0/YGMh4OnsNTWtPCGn1duzY0aT3CSGEEEIIIYSQ5nrvveAzDr7zzjvcYhYWFuLBBx9EYaFJM/wRQgghhBBCwoJuzhNC2oTAqWBZTxdMCCGEEEIIIYRo5syZE3KZJZfLhfXr1+PMmTNYv36931SrhBBCCCGEkMhCN+cJIW1Cjx7+zxnqyeEZcoQQQgghhBBCCABcvnzZb/nKlSvcYmVmZqK6uhoAUF1djaysLG6xCCGEEEIIIeFFN+cJIa1ecXExDh486PdeSUkJiouLw7RFRKOqKmpra/WXcYSHy+Xy+6y2thaqyuEBLYQQQgghhBDCUHl5eb0b5FlZWSgvL+cWSztXUlWVWyxCCCGEEEJI+FnCvQGkDTn/NVB9EOiaAHS+Odxb06a5zhyB63QJ7D0TYe8xJNyb06opioIVK1boy5IkQZIkqKqKZcuW4b/+678wZcqUMG5h8+Tl5WHbtm2QJAnA1SkSZ8yYgdTU1HBuWqOpqorFixfj0KFDQT+fPn06JEmCLMuQZRkAkJCQgNWrV0MQBDM3tdmM+0lLg1ny8/Px8ccfw+FwtJky0Rh5eXnIzs6OmHRF6n4yC+UfIezwrE/hPB7yoB2L7r777nBvSpsnSRIWLVqEm266CUePHqX2nHBlrLvaeWF+fj6mTp3KNI6qqli+fDksFt8lM63dU1UVGzZswIoVK5idz2jrFEXR79yJR6xw+ayoGJ/s3oM7x4/D7aNHhXtzmq3gwJf4tKgYk0ePQtLwW8O9OUwUHjyEnQe+xKTht2JCwrBwbw4Te77+Bp98cQAAcOeI4Rh3803cY+49WoqCw0eQNHQIxg6O5x6PEEIIIW0fjZwnjVd9EPBc9P0kLeI6XQKlzgnX6ZJwb0qrt3fvXjidTn1ZkiSIoghR9DVfbXW6v+zsbFRWVuoXlZxOJ5xOJ7Kzs8O9aU0S6kKRtq+0LyC0Rcb9ZLbc3FxUVFS0uTJxLdnZ2RGVrkjdT2ah/COEHZ71KZzHQx60Y1Fubm64N6XNkyQJlZWVKCgooPaccGesu9q5Bo96XFZWhvLycgiC4NfuybKMoqIilJWVMY1VVFQEQRD8zp14xAqXT3bvwdnz5/HJ7j3h3pQW+bSoGFUXLuDTosiZwW/ngS9R7XRi54Evw70pzBQcOozLdXW4XFeHgkOHzYl5+AjOXbqEgsNHTIlHCCGEkLaPbs6TxuuaAFg7+H6SFrH3TIQYFQN7z8Rwb0qrN3bsWMTExOjLsixDURQoigIASE9PD9emtYjD4UBsbKw+MiImJgYxMTFwOBzh3rRGEwQBq1evRk5OTtDX3LlzERsbi7lz5+rvtaVR84D/fjJbWloaevXq1abKRGM4HI6ISlek7iezUP4Rwg7P+hTO4yEP2rEoLS0t3JvS5smyjNjYWCQlJVF7Trgz1l3tvJBHPY6Li0OfPn2gqqpfuydJEsaMGYO4uDimsUaPHq2f42rxeMQKlzvHj0P3zp1x5/hx4d6UFpk8ehS6deqEyW149H+gScNvRdeYGEyKkJkAACBp2FDcEBWFG6KikDRsqDkxhw5Bl/btkTSUZsYkhBBCSOPQtPak8TrfTNPZM2LvMYSms28kURTx1FNP4cknnwQAvynS//CHP2DEiBFh3LrmS01NxeTJkzFt2jQAwMaNGxEdHR3mrWo6QRAa3O6pU6cyn2LSbIH7yUzJycltPv+CSU1NjajpbiN1P5mF8o8QdnjWp3AeD3nQjkW1tbXYsGFDuDenTZNlGWvXrm2T/VjS9gTWXVmWkZyczDyOIAh45plnMHv2bL+b84IgYP78+Uy/bKytc/bs2XC73Vxjhcvto0e16ensNUnDb42Y6ew1ExKGRcx09ppxN99kylT2RmMHx9N09oQQQghpEho5Twhp9UaNGoWEBP8ZGxITE9vsjXlCCCGEEEIIIa1Xnz59kJ6ert8cFwQB6enp6N27d5uORQghhBBCCAk/ujlPCGmxwsJCPPjggygsLOQWY9myZX4XK5599llusQghhBBCCCGEXN8yMjLQvn17AECHDh24PlItIyMDXbt2BQB07dq1zT6+jRBCCCGEEHJtdHOeENIiLpcL69evx5kzZ7B+/Xq4XC4ucaKiomC32wEAdrsdUVFRXOIQQgghhBBCCCFGqqpyXb/dbseCBQvQo0cPLFiwQD/3JYQQQgghhEQeujlPCGmRzMxMVFdXAwCqq6uRlZXFLY5249/lcnGLQwghhBBCCCGEZGZm4tKlSwCAS5cucT8HnTBhAt5//31MmDCBaxxCCCGEEEJIeNHNeUJIs5WXlyMrK0sfRaCqKrKyslBeXt4m4/Cmqipqa2v1l3GWAZfL5fdZbW0t99EZbU1T8o/yjhBCCCGEEH4ivW8eKeeghBBCCCGEkNbHEu4NIGxIF76GdOEQ1KiuEOqqIXcaBrnTzXyDnv8aqD4IdE0AOrONJZ87ArnqIKRuCZC6DGG6biN31RG4z5TA1iMRtm784mhcZ47AdboE9p6JsPfgG+/K6cO4XFEC6w3d4LlchRt6JaJdz6HM1q+qKjZs2OD3niRJkCQJy5cvx2uvvaY/I55lHC2G9v6KFSuYxOFNVVUsXrwYhw4dCvr59OnTIUkSZFmGLMsAgISEBKxevbpNpI+3YPknSRJsNhtkWa73TEbKu8azWq2YPn06kpKSsGTJEi4xtHqbn5+PqVOncokRDrzzLi8vD9u2bdPbhvz8fHz88cdwOBxITU1lGis/Px82mw2CIETcfjKTJElYtGgR7rnnHub7yBhDkiSsW7cOx44d41IewiFS2wkA3Oqu1kZYrVZT6q7WTmj9lEjDs42NZGa0e6T1ifS+uVnnumYz+7hBSLjt+fobFBw6jKRhQzHu5pvCvTlM7Pv2GAqPHsWEwYNx242Dwr05JMwi+RyKkHDKy8tDdnY2nRsSrmjkfISQLhyC6LkI8dJJiJ6LkC4EvwHIVPVBwHPR95Mxueog4L7o+8mR+0wJ1LqLcJ8p4RpH4zpdAqXOCddp/vEuV5RAdjnhOncCssuJyxVsY5aVlaGoqMjvAq0kSRAEAeXl5SgrK+MSR5IkiKIIQRBQVFTELI4ZQl3A0dIlSZKJW9S2BOYf5RkboihClmUUFBRwi6Htq9zcXG4xwoF33mVnZ6OyslIv47m5uaioqEB2djbzWLm5uXrbGmn7yUySJKGyspLLPjLGEEURu3fv5lYewiFS2wmAX93V2ghRFE3JO62diNTjLs82NpKZ0e6R1imS++ZmneuazezjBiHhVnDoMKovXkTBocPh3hRmCo8exblLl1F49Gi4N4W0ApF8DkVIOGVnZ9O5IeGORs5HCLnTMCBg5Dx3XROujpxnTOqWoI+c58nWI1EfOW8Ge89EfeQ8bzf0Sqw3cp6luLg4jB49Gvv374eiKAAAWZYhCAL69u2LuLg4LnG0CySqqmLMmDHM4vAmCAJWr17tN92jUX5+PnJzc5GWlobk5GQAgN1ub5MjMngIln/B8kxDedd4iqLAZrMhKSmJWwyt3qalpXGLEQ68887hcGDbtm36BeC0tDR9VCdraWlpeOONNyAIQsTtJzPJsozevXtz2UfGGACQlJSkj5yPBJHaTgD86q7WRpSXl5tSd7V2IlJHzvNsYyOZGe0eaX0ivW9u1rmu2cw+bhASbknDhuoj5yPFhMGD9ZHzhETyORQh4eRwOPSR84TwQjfnI4Tc6Wb+09gH6nwz8+nsNVKXIVyns9fYug0xZTp7jb3HEO7T2Wva9RzKdBr7QIIgYP78+Zg9e7b+nnbB4plnnmF28SUwjjbtu8Viwfz589vURR5BEBAdHR30s6lTp9IUVNcQmH+UZ2x4PB787W9/a7BssqDV28ALtW0d77xLTU3F5MmTMW3aNABAcnIytzKfnJysT98aafvJTLIsY+3atabUp4ULF3KNY7ZIbScAfnU3WBvBk7GdiEQ829hIZka7R1qnSO6bm3WuazazjxuEhNu4m2+KmOnsNbfdOIimsye6SD6HIiScUlNTaTp7wh1Na08IabY+ffogPT1dvzghCALS09PRu3fvNhmHEEIIIYQQQgihc1BCCCGEEEIIL3RznhDSIhkZGVBVFYBvqvn09HRucbTnF0qSxC2OZvr06UhJScH06dO5xlm8eDFSUlKwePFirnEAYPbs2UhJSfEbAcKDmWkyMxYhpO256667kJKSgrvuuivcm0IIIaQN2LRpE+666y5s2rSJeyyzzjfMZGb+mSEjIwNWqxUAYLVauZ+DRlr+EUIIIYQQQoKjm/OEkBb58ssvQy6zcvbsWXi9XgCA1+vF2bNnucQBgEOHDqGqqgoAUFVVhUOHDnGJU1ZWhoMHDwIADh48qD9XmofS0lKcOnUKAHDq1CmUlpZyiWNmmsyMRQhpe3bs2KE/J1ZRFOzYsSPMW0QIIaQ1q6mpQWZmJhRFQWZmJmpqarjFMut8w0xm5p9ZnE4n3G43AMDtdsPpdHKLFYn5RwghhBBCCAmObs4TQlrk6aefDrnMyvz58/2WFyxYwCUOgHqjsHmNyjYzTQsXLgy5zIqZaTIzFiGk7Vm1alXIZUIIIcRo2bJlfl/qeu6557jFMut8w0xm5p9Zfv3rX/st89xPkZh/hBBCCCGEkODo5jwhpNl+97vfNen95srKykJtba3fe1euXEFWVhbTOACwZs0afZp+jaqqWLNmDdM4ZqZp48aN+qwDGq/Xi40bNzKNY2aazIxFCGl75s6d26T3CWkJVVVRW1vr93K5XPrnLpfL77PAfgYhJPyKi4v1GZk0JSUlKC4uZh7LrPMNM/HMv3C1sTt27NBnN9CcPXuWy0w8ZpY/QnhyezyoY/ByezzhTgohhBBCCFeWcG9AJMvPz4fNZoMgCJgzZw5mzJiB1NRUpjGkC19DunAIalRXiLUVUFVA7joCcqebmcbB+a+B6oOAZANc5wAIgCgCkIAeI4HO7OLJ545A/n4PgICTantX2OJ/yiwOANSe+BTe8ycAQQBUVY9p6TwQ0QMmM4tz8dtP4Tl/3BdHECGIFkT3HgV7jyHMYhhVfZUD72X/Cwn2roPQafCPmcVwuVz44osvEBUV5fe+1+vFvn374HK5YLfbWxzH6/Xirbfe0petVitE0fe9onfffRf33XcfLBY2TZnb7caOHTv0equqKgRBAOC7ODNv3jzYbLYWx/F6vdi0aRNsNhtkWQYAPQ2s0+TxeLB161ZIkgSLxaJfrBIEATk5OZg1a5b+HMWWMKZJW7/2/ltvvcU0Tdo6tTQB0PfVpk2bmMYC/NvyGTNmQJZl3H777ViyZAmzGACQl5eHbdu2QZIkiKKoP9MyPj4eq1evZhonOzsbZ86cQVRUFFRVRXp6OvM4mnXr1ulx1q1bh2PHjsHhcDA/HgL++yo9PR2CIDDfV3l5eXj77bf1to9X3mlx6urq9FgzZszADTfcgOnTpzPPv/z8fD3OAw88AEVRYLfb8fDDD3ONxaN/dPnyZZSXl/sdn7Q24vvvv8fly5dxww03MImVl5eHzZs3A4Be9ubNm4fz588jKSmJednbvHkzoqKi4PV6sXTpUhw7dgwWiwVz5sxhmoeB7dH06dMxcOBAXL58mWn9XbVqFXbt2gWbzabHysjIAAAudVfLPwB46KGHAPj2W0vKoKqqWLx4sT4ltSRJkCQJsizrv0+fPl0/3gNAQkICVq9erR8rW5Kmbdu2cS97APCb3/wGpaWlfvkXFRXFvD3Ky8vDxo0b/do9XsddwP8Yxet8TaP1Wx544AFMnDiRS3qMsSRJwtKlS3Hy5EkuZcIYa86cOXC73S2uT8EYy56iKFi0aBHuuecepjEURcGKFSsA+NdhwDea+b/+678wZcoUJrHcbjfy8vIA+J/XAGzPN4y0/pGqqtzy7/nnn9fPbYzt3/PPP48PP/zQL51NEdjGaiRJ0tM0c+ZMPS7Apo2VZVn/soTxPEoQBKxduxZ33nknJElq9vqNAvNPiynLMlasWIEtW7Y0O/8CrVq1CgUFBXoZ49k3/6yoGLn/2gkA6NIxBuWnz2Dk0CF4+B4H0zjXg39/VYJ/7d+PO0aOxI9uSWS+/sKDh7DzwJeYNPxWANB/n5AwrFH/b/xCzO/f3tTg3wW2r9rvxj7StdbfGHu+/gaffHEAAHDniOEYd/NNTfr/ptpS8G8cPFWG2M6d4HJ7kDR0CMYOjuca0wxFx09gd+m3GB9/I0YPHMAnxslT2HP8BHp1jEFFjRPjBg7A6P79uMQiLffl6TMorqjEqF6xuLVnDy4xvjpbheLTZzCqZw/c0r0blxjhIkkSl34YIaTtopHzHOXm5kIURQiCAKfTiezsbOYxpAuHIHouQrx0EoJcB1Gpg3SBw/Pqqg8CnouAqxq+G9gKoHgBpc73GUNy1UHUuzEP/BCbLe+FE75YquIX0/c+Ox5jHMUL1euC63QJ0xhGgTfmAcB17gTTGEuXLtXLt/GlXaRYunQpkzjaTQ+NMaYoivU+b4kXX3xRvzkQLF0vvvgikzibN2/W42gnqLzS9OqrrwKAHiMwbdrnLWVMU7DywDJN2roC802LxzIW4N+We71eqKqKgoICpjEAIDs7G5WVlXo+akpLS5nHqaiogCzLev7xiKPZvXu3vo92796NiooKLsdDwH9fAeCyr7Kzs+FyubjnnRZHuxCslb+amhou+Zebm6vH0aZUdblc3GPx6B/96le/qtcWGZd/9atfMYuVnZ0Np9MJp9Opr7+qqgqyLHMpe1ocSZJw7NgxAL4vLLHOw8D2SJZllJaWMq+/BQUFUBQFLpdLj6WqKre6a9xPLpcLLpeLSRk03gAKPL5rv/Og7SfeZQ+42s4Z849He5SdnQ2v1+vX7vE67gL+xyhe52sard+iKAq39BhjiaKIY8eOcSsTxlhOp5NZfQpkLHuiKKKyspJ5jL179+rPEg+swwCYzsxkPJ8I1m9mdb5hpPWPeOafx+Pxa++0fPR4PNi7d2+L1h/sJru2fu3Fup3dvn273w3EwL7E9u3bmcUKzD9jGXQ6nS3OP6OCggL9HIB33/yT3Xtw6coVXLpyBacqKiErCvYfPsI8zvXgX/v3o6qmBv/av5/L+nce+BLVTid2HvjS73fWzOojFRw6jMt1dbhcV4eCQ4eZrz/QwVNlUFQV3587j3OXLqEgQsr57tJvce7yZewu/ZZbjD3HT+D8lSs4Unka569cwZ7jJ7jFIi1XXFGJC3V1KK6o5Bfj9BnU1NWh+PQZbjHCRZIkLv0wQkjbRTfnOUpLS4OiKFBVFTExMXA4HMxjyJ2GQbF2gNK+P1QpCooYBblT477d2iRdEwBrB8DeFYAAQARECyBG+T5jSOqW8EOMAPauTOMAgKXTAF8sQfSL6XufHasxjmiBYLHD3pP9N541lhvqf7vQ3mUA0xgrV67Uy7fxpV3EWLlyJZM4M2bM8Fs2xlQUpd7nLfH4449DluUG0/X4448ziaONAlMURf+mOK80PfbYYwCgxwhMm/Z5SxnTFKw8sEyTtq7AfNPisYwF+LflFosFgiAgKSmJaQwAcDgciI2N1fNREx/P9lv3DocDvXr1giRJev7xiKMZP368vo/Gjx+PXr16cTkeAv77CgCXfeVwOGC327nnnRZHm8VDK38dO3bkkn9paWl6HO3LIXa7nXssHv2jV155pV5bZFx+5ZVXmMVyOByIiYlBTEyMvv5u3bpBkiQuZU+LI8syBg0aBMA38wrrPAxsjyRJQnx8PPP6m5SUBFEUYbfb9VjajQ+e+aeqKux2O+x2e4vLoCAIWL16NXJycpCTk4O5c+ciNjYWc+fO9ftd+zwnJ4fJqHktTbGxsdzLHnC1nTPmH4/2yOFw6CNUeR93Af9jFK/zNY3WbxFFkVt6jLEURcGgQYO4lQljrJiYGCb1KRhj2VMUBbGxscxjjB07FjExMQBQr48OQJ/NiAXj+USwfjOr8w0jrX/EM/+sVqueb8DVfLRarRg7dmyz1x3Yxga2tRMnTqzXzrJoY6dMmaLfNAx2HsVqJgWgfv4Zy2BMTEyL8i9QUlKSfg7Au29+5/hxaN+uHdq3a4d+vWIhiSJGDuUzc2Cku2PkSHTr2BF3jBzJZf2Tht+KrjExmDT8Vr/fG8tY355/eBb+NHdO0NfUCRPQpUMHTJ0wwe/3YH/7/MOzgq6/MZKGDcUNUVG4ISoKScOGNul/myOhXxxEQUDvLp3RpX17JEVIOR8ffyO63HADxsffyC3GuIED0LldOwyJ7YnO7dphHKcR+oSNUb1i0SkqCqN6xfKL0bMHOkZFYRSnkfnhJMsyl34YIaTtomntOUpOTsaGDRsA+J75HB0dzTyG3Olm9lPYB9P5ZqZT14cidRkCqYs5ndnoAZOBAfzjdLhxMoDJ/AP9oNst07jHsNvtGDFiBPbt21fvs3HjxjGZ0h7w3XR45JFH9KntPYZnj82dO5fp9OU2mw0pKSn6VJNGd999N7MpJi0WC2bNmuU3Xb92IYt1mqxWK+6//35s3bq13nRxGRkZTKa0B4KnScM6TcYyEZgm1rEA/7Z8y5YtXNpyAEhNTcXkyZMxbdo0yLKMv/3tb1xipaamIjU1FbW1tZg2zddW5OTkcEvXwoUL8cknn+i/84oD+O8rXmky7ifecQL3E8/yZ0beBYvFo390ww03oE+fPjhx4kS9zwYNGsRsSnsg+H56+eWXTSl7K1eubPPt0ZIlS7BkyRI9/3i3fcb8Y1mfBEHQ1zV16lRMnTpV/8z4O2uBaeJV9gBg9erVprRHPPdTMMZjFK/zNY120413G2uMxbOdMMbimXeBZW/t2rXMY4miiKeeegpPPvlkvSmWV65ciREjRjCLZbPZkJqairy8PL/zGoDt+YaR8bjLK/9+//vf48knn9Tf0/LxhRdeaPGU7MY2VhPY1rImSRIWL16MVatW1SsTTzzxBNPRvg3lHwA8/fTTzKa0B3zH3Xnz5un1iWff/PbRo3D76FFc1n29+dEtiVyms9dMSBjmN4V9Y6ezD8ZmtSKqgWsMExMTMDExwW+Zh3E338R9Knujnyf9COD7nbuwGD1wALfp7PUY/fvRNPZtyK09e3Cbzl5zS/duETedvUaWZS79MEJI20Uj5wkhzfaHP/wh6PvPP/880zjp6en1Oi/t2rXDz372M6ZxAGDx4sX1vpktCAIWLVrENI6ZaZozZ069G9YWiwW//OUvmcYxM01mxiKEtD1vvPFG0Pdfe+01k7eEEEJIWzBq1CgkJPjfKEpMTGR6Y15j1vmGmczMP7OkpKSgWzf/GwTdu3fHnXfeyTxWJOYfIYQQQgghpGF0c54Q0iIvvPBCyGVWXnrpJb/lVatWcYkDAGvWrAm5zIo2gkWzfv16LnEAYN26dSGXWTEzTWbGIoS0PUuWLAm5TAghhBgtW7ZMH6UsiiKeffZZbrHMOt8wk5n5Z5Y///nPfss899PSpUv9lo0j6QkhhBBCCCGRhW7OE0JaZOzYsfoI5ujoaKbPxDPatWuX33JBQQGXOAAwbNgwfZREt27dMGxY86d1CyUuLk4fIZGQkIC4uDgucQDf8zr79fNNF9avXz9uzxc3M01mxiKEtD0pKSl+NwlSUlLCvEWEEEJas44dOyIjIwOiKCIjIwMdO3bkFsus8w0zmZl/ZunRowcmTZoEAJg0aRJ69OA3ne/27dv9loM9ao0QQgghhBASGeiZ84SQFsvJyeG6/vLycmRlZfm9l5WVhZ/85Cfo06cPl5gffPABl/UGMnOUzJtvvmlKHDPTFAmjjAgh/Pzv//5vuDeBEEJIGzJr1izMmjXLlFhmnW+Yycz8M8vTTz/NPUY4zncJacvcHk+rXBchhBBCSGPRzXlCSKumqqo+fbkkSZAkCbIs6++vWLGi3jMbCSGEkEilHQvz8/MxderUcG8OuQ5JkoRFixbhnnvuQWpqarg3hxBC2jTtvFYURf1cNxLPdz8rKsYnu/fgzvHjcPvoUeHeHNIGqaqq/77sfT5fbjLGIIQQQgjhiaa1J4S0amVlZSgqKoIsy5Akye+iRVFREcrKysK9iYQQQohptGNhbm5uuDeFXKckSUJlZSWys7PDvSmEENLmaee7giDo57oAIu5895Pde3D2/Hl8sntPuDeFEEIIIYSQsKOR84SQVi0uLg6jR4/G/v37IcsyAOg36keOHEnPGSeEEHJd0Y6FaWlpYd4Scr2SZRm9e/eGw+EI96YQQkibp53vHjhwAMDV43ykne/eOX6cPnKekOYwziCx7MHpsFmtTNbr9nj0kfiRMEsFIYQQQtoGujlPCGnVBEHA/PnzMXv2bH2KPwCwWCyYP38+nTwRQgi5rmjHwuTk5HBvCrlOybKMtWvXIjo6OtybQgghbZ7xfNftdtd7P1LOd28fPYqmsyfM2KxWRDG6OU8IIYQQEg40rT0hpNXr06cP0tPT9QsTgiAgPT0dvXv3DvOWEUIIIYQQQgghzUfnu4QQQgghhFxfaOQ8IaTFUlJS9N937NjBJUZGRgY++MA31ZiqqkhPT+cSR2NGmsyMY2asSEwTIaRtojaChBOVP0LanilTpsDr9cJisWD79u1cY82ePRunTp1Cv3798Oabb3KNZZZp06ahtrYW0dHRyMnJ4RrLrH2VlpYGt9sNm82G3NxcbnHMPt8lhBBCCCGEhA+NnCeEtEjgRQNeFxGeeOKJkMssrVq1KuQyKytWrAi5zNJvf/vbkMusbN26NeQyS2bmHyGk7TGrLSckmL/+9a8hlwkhrc8///lPeL1eAIDX68U///lPbrFKS0tx6tQpAMCpU6dQWlrKLZZZ9u7di9raWgBAbW0t9u7dyy2WWftq165d+lTzbrcbu3bt4hIHAAoLC0MuE0IIIYQQQiIH3ZwnhLTI+fPnQy6zcvjw4ZDLLAWObuM12u3TTz8NuczSV199FXKZlY0bN4ZcZsnM/COEtD1mteWEBPP222+HXCaEtD4rV64MuczSwoULQy63RU8//XTIZZbM2lfLly8PucySmeWPEEIIIYQQEl50c574URUPVJnRS/GEOzmmU2UPlGu8ZK8bstcd8m9U+dp5d61YjYnT2FgNMU7X2pj3W3scwDc9YlPeb6677rqrSe+3hFn598ADDzTp/ZbgmX+qqqK2tlZ/uVwu/TOXy+X3WW1tLVRVbXFMQghbZrXlhATz85//vEnvE9ISTem3UJ+lYfPnz2/S+y2xceNGfdS3xuv1cv1SK2+/+93vmvR+S5i1rxqaaYzHDGQ808Tz3KbO7b7my1VXB1dd3TX/jpDWyu3xwu3xMHh5rx0sArm9Xmav60Fgmx3qda32PNjreuoLemQZbgYvjyzXWzfv/XS97StCrlf0zHlOfvOb36C0tBRRUVEArk713b59e/05YizYjr4LoYHPVADuwb+45jqMjb275L2gf2O1WiGKDX+XQ1VVfbq3a8W4FnfJO/BtfXC2xFmNXte1XNzf8CgmS+eBiB4wuUnrO713U9D3bTYbBCH4nrpW3jWk7N/Btz1ULEVR4PGw+dLEzJkz9fIdSFVV7N+/HyNHjmxxnOPHjzeYJlVVcfz4cQwcOLDFcQBgy5YtkCQJkiQFjXXmzBn06NGjxXEqKyshSRKsVmvQOFlZWcweD/Dcc8+F3E8nT55E//79WxzH6XTi4sWLfrFUVYUgCLh06RIWLVqEtWvXtjgOAGRlZQXNOy1mZWUlYmNjm7VuVVWxePFiHDp0CMDVtk9L1y9+cbVN1epTQkICVq9e3WC9a4y8vDx88MEHfnloLAPx8fFYvXp1s9cfGEu7KBwYi2UcAJg+fTouXbrEPc6qVauwa9cuKIpSL9Zjjz2G1NRUZrEaStOkSZOwZMkSZnFWrVqFnTt3AgD3/NPKhBbngQcegM1mg81mw4wZM5jlX15eHjZv3sy9TJw5c8av3gbasmUL05ukeXl5ePvtt03ZT6+++qpfHFEU8eijjzIt4wDwyCOP4OzZs3qsX/7yl7h8+TLzeA2Vc4vFgjlz5jBNV2D+TZ8+HbIsM++bf/TRR6itrQ1a/q5cuYKamhp07NiRSSytTmn9JJ7t0WeffQZVVfV0ZWRkQBAETJw4kUvbFxUV5ffM5e7du+Ott95iFkfLuytXrviVPUEQcPvttzNNU2B9YrmfAvstWlmw2WxQVVXvt2jnGyz6LED944bWHnXo0AHTp09netzIzs5GdHR0vfxjWSauXLmCb775pt45h6qq+Oabb3DlyhW0a9eOSSyPx4OtW7fqsbTzZFVVkZOTg169eiEtLY1JLO2aBAC/doJ1Of/73/+OAwcOBG33iouL4XK5YLfbmcS6cuUKjh8/HjTWiRMnmO2r2tpafPXVV/q5obFcfP3116itrUV0dHSL4wBATk4OTp48qbd7xljHjx9vUZoC2wjAd36jxTKe2zSnnVj8x/8O+n6wuqQtN/f6R0N27f8C23cVwPPDjTtZluFVFERZrZg2+Q5MHDmCWax3P87DgaNHMXzwYNzYtw/+99+FUAGk/mgCkobfyizOv78qQfbOnZAVxe99iyhi2qRJ+NEticxiFR48hI9374HH60Wfbl1RW+fGpOG3YkLCMGYxAGB9zt9RXlWlLwsAIAi4deBAPPDjyUxjBcrauQslJ08isX9/pE+a2Kj/MV7DfC4zK+jfGK+TauVaazNkWYYc5IZesPU3xr5vj6Hw6FFMGDwYt904qN4ySx/tK8Lh77+HzWKBy+OB3WqF2+vF0N69ce9toxu1DmP6/rT9fxv8O0mSYLFcvTWhquo18y5w/deyv+w7fFb6LTyyDKsk4fb4GzEyrm+j/7+p/ufgIXx95iwsoogbu3VF5cVLuC2uL0b06d2o/3e5XJg2bVrIv9HyTVVVvb3V2nOv1xsy/3Jycpp9/Pry9BkUV1RiVK9Y3Nqz5ddGeTCWjVf3Hwj5t8Z8bEy5M66/MftJox13FUVp0rXe5uyr/Px82Gy2RqWFEBLacQEoFYB4FRjI6bsyNHKeE+0kWBAEv5OSS5cuMY0jXOPFiiiKeloaerHTOr4Z5r1wgtm6zMu70LFCfcGiqS5cuBAyFqtnwj/66KMh4zz66KNM4gDAu+++GzLWzJkzmcT5xS9+0WCdEkUR770X/EsyzfH555+HTNOcOXOYxHn44YdDxjl+/DiTOADw3nvvhYxlvMjUHMY6GartY1mfsrOzUVNTA0VRgrYLLJ9Dmp2drY/WCozF+nmn2jGPd5yCggIoP1y8CoyVnZ3NNFZDaSooKGAax7g+3vmnlQktjqIocLlccDqdTPMvOzsbTqczaDlnmaaZM2eGbCPeffddZrEAX7pcLpcp+wnwLw+KojAv4wBw9uxZv1iXL1/mEq+hcu71epmnKzD/tAsWrPvmmzZtCln+HnroIWaxtDqlHas0PNoj7UKUlg5VVaEoCre2L7A+aWWSFS3vjG0f4LvgxjpNgfVJwyqOcZ3GPkpgH4alwOMG4GsfampqmB83KioqcOzYMa5lQptSvqHzNJZTzr/66qv1Ymn7i/V5gPE4xLOcv/POOw32mSVJwtKlS5nFWrhwYcj+Oat9pY2OlyQpaDyWo+eNx43AWKIotjhNgfVfixEsXayEOg6ybo/+ue9zXKqtRZ3HgzqPB94fzgnqPB78c9/nTGMdOHoUiqLgwNGj+LSoGJdqa3G5thafFhUzjfOv/fvr3ZgHAK+i4F/79zONtfPAl3B7PFBVFd+drUK104mdB75kGgOA3415wHfVT1VVfHXiBPNYgUpOnoSiqig5eZLpeoMdZ7U2I9iAj5YoPHoU5y5dRuHRo0GXWTr8/fdQVBWuHwb2uDweKKqKw99/zzyW9uUnY5vHOu/2njyJKx4PPIqCKx4P9jIuB4G+OVsFFYBHUfDN2SpcqK3FvrLvmMbQ8i1YO846/4yKKypxoa4OxRWV3GKYyZiPPPPNeNzlLTc3l3t62prGznJAMxyQQKUCcFkQUMq26+qHRs5zEh8fj9LSUr8LWYBv5DxLoap/Y5sG48mRLXEmBDHIiNSKAqgXQ3RgrDcg6uYZ/vEVjz4Sv2knYAJaww16S6cBjfo7u92OnJyckH+jjc4CUK9MiKIY8v+NowwaE0v7Fl5gHACYOHFiyJP7poxo6NSpEy5cuBD0M1VV8ac//anR6wrl9ddfx4IFCxqM8/rrrzOJA/humjd0QUxVVWYXy95991088sgjQTtmqqoy+xIAAIwZMwaffx78ooSqqsymz3z77bcxfbMQwxUAAQAASURBVPr0euvXDBrE7tvcM2fOxPvvvx/0M1VVW3TjTRAErF69Wu+UrVu3rsGLl1p9stvtLb7I5HA49JHzWlthXGd8fHyL1h8YSxs5H9hOsIwD+I55ly5d4h4nKSlJHzkfGMvhcDCN1VCakpKSmMZJSkrSRxTzzj+tTGgzq0iSpI+cZ5l/DodDHzkfWM5Zpum9997DL3/5ywY/b+kXeAI5HA68/fbbqK2tBcB3P7366qt+5UEUReZlHPCNSD179qweq3379vrIeZbxGirnFouFeboC889isegj51maNWtWg8+XV1UV77zzDrNYWp0yfmES4NMeaSPntfzTLjLxavu0WFqaunfvzjSOlndXrlzR2z4tD1mnKbA+sdxPgf2WefPmoaqqCqIoYsKECdizZw+8Xi9uvPFGrFy5kkmfBah/3NDaow4dOjA/bmgj57/99ls9FsC2TKxbtw4Oh6PexTVted26dcxiPfbYY8jNzfUbMW8s7yzPA7RrElocgE85f+ihh/DGG28ELVuyLDN9dvq6detw//33N3gexWpfvfTSS5g2bVrQfrmqqnjppZeYxAF8x40333xTX7cxlqIoLUpTYBsB+PKwsLBQX7+mse1EY65JLF26FMeOHQOAeu25FifU+pvix7eNaXDk/I9vG9OkdV3L8MGDg46cnzx6FNM4d4wc2eDI+TsYzE5oNGn4rUFHzrPWp1u3oCPnbxkwgHmsQIn9++sj5xvLWAeezUiHzVr/8vlHu/fiYFkZAKB3ly6Y/ZP/QNG3x7D7m28w/qabMDpgRLvb49VH4Tf1WDxh8GB9pHywZZaG9u7d4Mj5xjKm74kpd8FmCX774Yuy77Cr9FvUeb1QVBVWUcTkoUMwIsjIdrfXq4/Cb0r+je3f32/k/FgGM0eGclP3bkFHzjfHrydNhDXITdavKk9jT9l3UAF0iLLh7OUrAACrKCJp4ADcEtvT7+89sow/79zVrG0wGtUrVh8531oZy8ZjI4cHzT/NoXPn8Plp35c9x/SOxbAuXYL+nUeW9VH4wcreo4kJsIa48f5/FRU4cfESBnTogP+4+aaQ2+9RFLxecjDk34SSlpaGN954g0bOGzRllgMN7xkOSNsQrwKlUBHP8TYl3ZznZPXq1aitrdUrP6+K2php65tCEK0QpCA35/tOZhonFFsiuxFF19Jh5MMtXocgCNfct9u2bQOAFpeJxsT6+9//bkrZe++990I+s5zFlPYAMHDgwJDT3rGa0h7wPQt206ZN9Z4BCfgu4rOY0h4AYmNjIcty0EcMiKLIbEp7AHj22WdD7icWU9oDQExMDDp06IDq6up6n3Xv3p3ZlPaAr5P09ttv+11M0oii2Owp7TXGesZqBohrSU1NRWpqqil118xYH3zwgSlxlixZgiVLllCamik1NRWTJ0+OmLLXo0cPKIrSYFvO+rnfZuafGXEA4K233vLbT1u2bIm4cs4rTffeey8yMzODfoGxS5cuzKa0B8wrE2bupyVLlmDevHkR0x4B9esT6zjGfstf/vIXZusNJdKOG+3atcNNN92Eb775pt5nQ4YMYTalPeCb2vT+++/H1q1b632WkZHBbEp7APqjVXjn39SpU7Fnzx7s27ev3mfjxo1jNqU94NtXAwcO5L6voqOjccstt+Crr76qd4F7+PDhTPNw2rRpyM/P55amwGsILT2/acw1iT//+c8A+Jc9AJg4cgTTqetD+cXdqQCuPraD5VT2Rj+6JZHp1PWhTEgYxnwK+2AWTJvKPUZD0idNRDoaN519MDarBbYgj9XLuL3+l5wmDLkZE4bc3OxYDbntxkF+09cHLrPkm7q+cdPXN4bNYmnw5vzYgQMwduAAZrGCGRnXl+s09oF+mjAMP01gsy6rJMEW5Oby6D69MbqR0+SzdGvPHq12OvtgGso/zYju3TGCwZc9raIY8ksA/9nXvPKXnJyMDRs2mBaPkEg2kON09hqa1p4Q0mw7duxo0vutPQ4AbN++vUnvN9f//m/w52419H5LmJV/f/3rX4O+v3nzZqZxAHPzjxDS9pjVlhMSzJYtW4K+n5mZafKWEEIaq6ELmSxHzWvmzJnj94xdwPflsVCzvrR2f/jDH4K+//zzzzOPZda+amh0/Isvvsg0DmBu+SOEEEIIuR7N7NMbD/ft0+BrVp/emHWNv3m4bx/MDMOXY0hkopvzhJAW6dy5c8hlVoYOHRpymaXAkeahRp63xOTJk0Mus3TLLbeEXGYl8Bn2rJ5pH8ztt98ecpkQcn0zqy0nJJiHH3445DIhpPVZtGhRyGWWAm+6RsJN2BdeeCHkMkuBz7Fn+Vx7o2eeeSbkMktmpYkQQggh5HpkEQTfTAcNvGw/zLYQ6m+soggLg8eEEQLQzXlCSAtlZWWFXGYlcFp0ltOkB1qyZEnIZVaeeuqpkMssBY78YPmcRKP7778/5DJLcXFxfsv9+vXjFosQ0vaY1ZYTEswDDzwQcpkQ0vr84x//8Fv+5JNPuMWKj4/X+679+vVDfHw8t1hmGTt2rD5teXR0NMaOHcst1o9//GN99gGLxYIf//jHXOJMnDgRNpsNAGCz2TBxYvOnxr4Ws9JECCGEEEIICT965jwhpMV4TC8fzjhmxqI0NU95eXnQL4b85Cc/QZ8+fbjHJ4S0DWa2sYQEovJHSNtRXFyMgwcP+r1XUlKC4uJijBo1ikvMN998k8t6wyknJ8e0WGY9qiY3N9eUOAA9focQQgghhJDrBY2cJ62SfO4I3N98CPncEe6x3FVHcOnQ3+Cu4h8LACRJgs1mQ35+vinxCIk0qqrqz2XU6pMkSfr7qqqGeQsJIYQ0V35+Ph599FHk5eWFe1MIIdcJRVGwYsUKAL6+ZVRUlN6/XLFiBRRFCfMWEkIIIYQQQgiJJHRznrRKctVBwH3R95Mz95kSqHUX4T5Twj0W4LvgI4qiqd/AJySSlJWVoaioCLIs6/VJkiTIsoyioiKUlZWFexMJIYQ0U25uLioqKpCdnR3uTSGEXCf27t0Lp9MJwHeuJgiC3r90Op3Yu3dvmLeQEEIIIYQQQkgkoZvzpFWSuiUAtg6+n5zZeiRCiOoAW49E7rEAQJZlKIqCtLQ0U+IREmni4uIwevRoiKKo1yftRv2YMWPqPYueEEJI25GWloZevXrB4XCEe1MIIdeJsWPHIiYmBoDvXE1VVb1/GRMTw/XZ6YQQQgghhBBCrj90c560SlKXIbDddB+kLkO4x7J1G4L2w34GWzf+sQDfBR+3243k5GRT4hESaQRBwPz58yEIgl6fZFn2e58QQkjblJycjNdffx2pqanh3hRCyHVCFEU89dRTAHznanV1dXr/8umnn4Yo0mUTQgghhBBCCCHsWMK9AYQQQkhT9enTB+np6fjrX/8KVVUhCALS09PRu3fvcG8aIYQQQghpY0aNGoWEhAQcPHj1sWqJiYkYMWJE+DaKEEIIIYRc11RVhcvlatTfGv+usf9jt9tpkBMhYUI35wkhbcYLL7yAnTt3YtKkSXj66ae5xtq0aRMyMzORkZGBWbNmcYtTWFiIl19+GfPmzcOECRO4xQHMzT8zZGRkYMeOHaiqqkLXrl2Rnp7OLZaZ+4kQwg7VXRJOkXbcJSTSLVu2DOnp6VAUBaIo4tlnn+Uaj45RLWNW/tF+IoQQQki4uFwuTJs2rcn/19hrpDk5OYiOjm7y+gkhLUfzsxFC2oQzZ85g586dAICdO3fizJkz3GLV1NQgMzMTiqIgMzMTNTU1XOK4XC6sX78eZ86cwfr16xv9rcbmMDP/zGK327FgwQL06NEDCxYsgN1u5xLHzP1ECGGH6i4Jp0g87hIS6Tp27IiMjAyIooiMjAx07NiRWyw6RrWMWflH+4kQQgghhBDCA42cJ4S0Cb/+9a/9lhcvXozNmzdzibVs2TIoigIAUBQFzz33HFavXs08TmZmJqqrqwEA1dXVyMrKwkMPPcQ8DmBu/plpwoQJ3EewmLmfCCHsUN0l4RSpx11CIt2sWbO4zpqloWNUy5iVf7SfCCGEENJazBk6BFYx9FhbVVUBIORU9R5FwcbDR5huGyGk6WjkPCGk1dOmLjc6e/YsduzYwTxWcXGx37MmAaCkpATFxcVM45SXlyMrK0vvNKmqiqysLJSXlzONA5ibf5GG935SVRW1tbX6K/D5UMbPtG1gEYdnLEJag0itu6HimBmL2ojQIuG4S8eNljGz7pqF2iN2eB6jroe6a9Z5lJnna4QQ4vZ6mb4IIZHHKorXfNkkCTZJuubfEULCj0bOm0CSJCxatAj33HMPUlNTma7bWrET4qWTUC3RELy1UKM6A4oHcqdhkDvdzDQWyncCzuO+32MGAm4n4KoG7F2BgWlMQ3nK/gW15gQgSBBi4qA6ywBVhtBxAKxxdzCL4646AnfFfqhQYenQG/KVKth6JMLWbQizGIEkSYIkSVi6dClOnjyJpKQkLFmyhGmMdevWISoqCqqqYs6cORAEAdOnT2de/swgyzLWrFkDALBarRBFEYqiQFEUrF+/Hh6PB3fffTeTWIqi4Pnnn4fNZoMgCPB6vZBlGQCwYsUKbNmyBSKDDoyqqtiwYQOAq+VBlmX9/RUrVoT8hmNTyLKMtWvXwmazQVVVCIKg/1y7di3uvPNOSJLEJFakMe4njba/li9fjtdee61F+0lVVSxevBiHDh3yW7dWHqZPn67/LssyEhISsHr16ibHDIwTSJIkzJw5U48DoNmxAuXl5WHbtm16GePdHuXn58Nms+np4CEvLw9vv/02oqKi9Bk2IoVW/h566CHYbDbMmDGD+3EjPz8fH3/8MRwOB7NYqqpi+fLlsFh83VytPLBqYxuqU1r+TZ8+3a8Msq67DcXhEUuLx6uNMFNge8Srb671W7T9pB1z29JxN1TZ09rYwGcYsiwTWj/WjDaWR6xg+Rcq74DWX6eu1ZcI7LMA1B41hOd5QDj7fGYx6zwq8DzA2KazPl8jbcvqzX9F2enTiOvZE7+Z8QDXWP/+qgT/2r8fd4wciR/dksg1ViTZ8/U3KDh0GEnDhmLczTeZEnPv0VIUHD6CPl27oLz6HJKGDsHYwfHX/D/jF6Re+NtH1/x7rS0SBAGKosDj8TQpRnMUHT+B3aXfYnz8jRg9cECL1kUIMcehCzU4cOEChnfqhGGd+D2miRDSMvQ1GRNIkoTKykpkZ2czX7d46SQEqBC8V3w/685B9FyEdCH4CXmLOE/4/+7yTe+m/2RIrTkBQAVUr+931QtA/eF9dtxnSqB6XYC3Dt4LJ6DWXYT7TAnTGIEkSYIoijh27BhkWUZBQQHzGLt379YvBDudTtTU1HApf2bYvn27fvFIFEUIggBRFPUTkr/+9a/MYu3duxcej0ePY7x47nQ6sXfvXiZxysrKUFRUBFmW9fKgXVgqKipCWVkZkziAL/+0PAt8CYKA7du3M4sVaYz7SaOVu/Lycib7yXhRz1gWgi2zihOIZZxA2dnZqKys1C8i8G6PcnNzuaVFk52dDZfLpderSKKVBZfLBafTacpxIzc3FxUVFUxjlZWVoby8vF47zrKNDVaneNQls+I0FItnPLMFtke8+uZav0XLN+Mxty0dd80se4G0fqwZbSyvWIH5Fwn1yMy+RCS3R7zPA8LV5zOLWedRgecBWixBEJifr5G2pez0ab+fPP1r/35U1dTgX/v3c48VSQoOHUb1xYsoOHTYvJiHj+DcpUs4eKoM5y5dQgGn6aKNbZFZ56K7S7/FucuXsbv0W1PiEUJa7sCFC3B6PDhw4UK4N4UQEgKNnDeBLMvo3bs3HA4H83Ur7fvrI+fxw8h59YeR88zFDDCMnB/gP3KeMaHjgAZHzrNk65EYdOQ8T9oJfnx8vD5ynrXx48dj165dUFUVHTt2hCAIXMqfGaZMmYJXXnkFsixDURS/kfOCIOCBB9h9W33s2LGwWq3weDwQBMHvpmxMTAzGjh3LJE5cXBxGjx6N/fv36zG0C0wjR45EXFwckziAL/9ee+01KIpSb+S8qqqYMmUKs1iRxriftBF1sixDEAT07du3xftJEASsXr1an2o0Pz8fubm5SEtLQ3Jycr1lu93erBE6gXECBcYB0OxYgRwOB7Zt26ZfwOzUqRPX9igtLQ1vvPEG15HzDocDb7/9NmprayNu5LyWb+3atYPNZjPluJGWlqaPnGclLi4Offr0wffff1/vyzUs2tiG6lSwugQ0vz41NQ6PWA3FY9VGmCmwPeLVNzf2WwD4jZxvK8ddM8teMFo/1ow2lkesYPkXKu+A1l+nzOxLRHp7xPM8IJx9PrOYdR4VeB5gbNPHjBnD9HyNtC1xPXvqI+d5u2PkSH3kPGm8pGFD9ZHzpsUcOqTeyPnGMLa/T//sXtgsoS/TFx8/gU9KDsIryxjWty8ct40O+ndur1cfid/SNn58/I36yHlCSNswvFMnfeQ8IaT1opvzJtCmlY6Ojma+bk+vSczX2aA+k3wvE1jj7gAYTl/fEFu3IVynsA9Gm0Zw5cqVXMoEACxcuBCffPIJAGDjxo3c4phBkiQsXrwYq1atqjdl15IlS3DnnXcyiyWKIn7/+9/jySefrPfZ008/zeybyYIgYP78+Zg9e7bftJIWiwXz589neoFMe6zGqlWr6n32xBNPtOmRM7wZ95NGuzn/zDPPMNlPgiDo9XPq1KmYOnWq/lngMqs4gVjGCZSamorJkydj2rRpAPi3R8nJyfUeRcBaYJoiidYebd261bTjRnJyMvPyp9VRrY01vs+qjQ1Wp3jUJbPiNBSLZzyzBdZdXn1zY78l8ItCbem4a2bZC2Tsx7bVWIH5Fwn1yMy+RCS3R7zPA8LV5zOLWedRgecBWiwe52ukbeE9lb3Rj25JpOnsm2HczTeZNp29Zuzg+EZNYx+KzWK55s358YPjMb6FcZpq9MABNJ09IW3MsE4daTp7QtqAyJqPlRASFoWFhXjwwQdRWFjIZf0pKSno1q2b33vdu3dnemNeM2rUKCQkJPi9l5iYiBEjRjCN06dPH6Snp+sXdgRBQHp6Onr37s00DmBu/gH8y4OZsbT9ZMRrPxFC2DGzjdWY1faZ2caS5jH7uEsIaVvCcYwyy6ZNm3DXXXdh06ZN3GKYlX90HkAIIYQQQgjhhW7OE0JaxOVyYf369Thz5gzWr1/f4DSKLfXnP//Zb3nNmjVc4gDAsmXL9FHyoiji2Wef5RInIyMDXbv6HgvRtWvXehd/WDIr/8wqD2bGuueee/zKQ1t9RAQh1xsz21iz2iMz21jSMsuXL/dbfu6558K0JYSQ1sjMY5RZampqkJmZCUVRkJmZiZqaGm6xzMo/Og8ghBBCCCGE8EA35wkhLZKZmYnq6moAQHV1NbKysrjE6dGjByZN8j1WYdKkSejRoweXOADQsWNHZGRkQBRFZGRkoGNHPlMB2e12LFiwAD169MCCBQtgt9u5xAHMyz+zyoOZsbZt2wZVVQH4njOZnZ3NJQ4hhC0z21iz2iMz21jSMi+//LLf8iuvvBKmLSGEtEZmHqPMsmzZMiiKAgBQFIXrl5LMyj86DyCEEEIIIYTwQM+cJ4Q0W3l5ObKysvwuWGRlZeEnP/kJ+vTpwzze008/zXydDZk1axZmzZrFPc6ECRMwYcIE7nEA/vlnZnkwK5bZZZwQwpYZbSy1RyRQcXExDh486PdeSUkJiouLMWrUqDBtFSGktTHzPIC3cLR7vPOPjruEEEIIIYQQXmjkfASwVuxE1NH3YDuVC1vpB4g6+h6sFTv5BTz/NVD6ke+nSeRzR+D+5kPI544wXa+76gguHfob3FVs1xtMXl4eFi1aBEmSAAD5+fl49NFHkZeXxyWeJEmw2WzIz8/nsn5VVbFhw4Z6MSVJwvLly/WLGOT6YCwPWtmTJEl/n2V50NYpiqIex/g+q1iBZVxLlyAIzNMU6Xi3R8HizZkzBw8++CC3NtYs+fn5sNlssFqtWLRoUZtPT6Qx61hoZhsbybT6pB03eFAUBStWrADg21dRUVF6zBUrVuijSgkhJFJoo+SjoqJgtVr9Pmur7R6dB7BhxnHXbAUHvsQf/rIJBQe+DPemEEIIIYSQNoxuzkcA8dJJCFAh1J2DqHohQIV46SS/gNUHAc9F30+TyFUHAfdF30+G3GdKoNZdhPtMCdP1BpOdnY3Kykr9xDQ3NxcVFRXcpsaTJAmiKCI3N5fL+svKylBUVARZlv1iCoKA8vJylJWVcYlLWidjedDKniRJkGUZRUVFTMuDFksQBD0OAOaxAsu4li5BEJinKdLxbo+CxXM6nXA6nW1++tHc3FyIoghRFFFZWdnm0xNpzDoWmtnGRjKtPvG8SbB37144nU4AV8uCFtPpdGLv3r3cYhNCSDjs3bsXiqLo7Z1RW2336DyADTOOu2b7tKgYVRcu4NOi4nBvCiGEEEIIacPo5nwEUNr3hwoBalQXKIIFKgQo7fvzC9g1AbB28P00idQtAbB18P1kyNYjEUJUB9h6JDJdbzAOhwOxsbH6CX5aWhp69eoFh8PBJZ4sy1AUBWlpaVzWHxcXh9GjR/tdgJFlGaqqom/fvoiLi+MSl7ROxvKglT3tJtKYMWOYlgctlqIoehwAzGMFlnEtXaqqMk9TpOPdHgWLFxMTg5iYGG5trFnS0tL0sh4bG9vm0xNpzDoWmtnGRjKtPhm/TMHa2LFjERMTA+BqWdBixsTEYOzYsdxiE0JIOIwdOxaiKOrtnVFbbffoPIANM467Zps8ehS6deqEyaPpMTWEEEIIIaT56OZ8BPD0moS6wTPh7pcGd/x01A2eCU+vSfwCdr4ZiL/X99MkUpchsN10H6QuQ5iu19ZtCNoP+xls3diuN5jU1FSsXbtWPzFNTk7G66+/jtTUVC7xZFmG2+1GcnIyl/ULgoD58+dDEAS/mLIs45lnnvF7n0Q+Y3nQyp4sy0HLCatYqqrqcQK3gWUcbX1aulRVZZ6mSMe7PQoWb+PGjXj//fe5tbFmSU5Ohtvthsfjwdq1a9t8eiKNWcdCM9vYSKbVJ543CURRxFNPPQXAVxbq6ur0mE8//XS9UaWEENLWiaKIZ599FnV1dfB4PH6ftdV2j84D2DDjuGu2pOG34ne/nIWk4beGe1MIIYQQQkgb1vbOkgghrUafPn2Qnp6uX5wQBAHp6eno3bt3mLeMhIOZ5cGsWFTGCSHXQu0RCTRq1CgkJPjP9pSYmIgRI0aEZ4MIIYSzSGz36LhLCCGEEEII4YVuzhNCWiQjIwNdu3YFAHTt2hXp6encYm3atAl33XUXNm3axC2G2QoLC/Hggw+isLAwImJlZGSgffv2AIAOHTpwLQ/GWO3bt+cWy8wybrYXXngBKSkpeOGFF8K9KYS0aWa1E2a3R2YeoyLNsmXL9NGi2qhScn2LxPoUiWkyU6SdB0RiuxfJ5wGEEEIIIYSQ8KGb84SQFrHb7ViwYAF69OiBBQsWwG63c4lTU1ODzMxMKIqCzMxM1NTUcIljJpfLhfXr1+PMmTNYv349XC5XRMTSqKrKPYYZzCrjZjtz5gx27twJANi5cyfOnDkT5i0ipO0yq50wsz0Kx3EjknTs2BEZGRkQRREZGRno2LFjuDeJhFEk1qdITJOZIvE8IBLbvUg9DyCEEEIIIeR65gXgVdWQL4+iwKMoof+uBdtgYZUYQsj1a8KECZgwYQLXGMuWLYOiKAAARVHw3HPPYfXq1Vxj8paZmYnq6moAQHV1NbKysvDQQw+16ViZmZm4dOkSAODSpUvc02RWLDPKuNl+/etf+y0vXrwYmzdvDs/GEBIBzGonzIpj5jEqUs2aNQuzZs0K92aQViAS61MkpslMkXgeAERmuxeJ5wGEEEIIIYRcz7K97nBvAo2cbypVVVFbW9uol/Eb6S6Xq9H/FymjTQlhpbi4GAcPHvR7r6SkBMXFxWHaopYrLy9HVlaWXt9VVUVWVhbKy8vbbKxITFOk2rFjB6qqqvzeO3v2LHbs2BGmLSKEtCbUxhLCTiTWp0hMk5moz0wIIYQQQggh1zcaOd9ELpcL06ZNu+bfWa1WiKIIq9UKj8fTpGeT5eTkIDo6uknbJV34GtKFQ5A7DYPc6eYm/W+jnf8aqD4IdE3wLWu/d+YUD4Cn7F9Qa05A6DgA1rg7uMUhrZeiKHj++edhs9kgyzJkWYYkSZAkCc8//zw+/PBD/dmGbYWqqtiwYYPfe1qali9fjtdeew2CIHCJpcXR3l+xYgWTWMY4WgxZlpnHMcYSRVGPwytWJJJlGevWrUNUVBRUVYXbffWbgmvWrMGdd94JSZLCuIUkkuXl5WHz5s2IioqC19uSyZ8IL6qqYvny5bBYfKcJsizr70dSG5ufn4+PP/4YDocDqamp4d6cFtGOu/n5+Zg6dWq4N4eJSElTJPZZzOzHRiKz+uaBsXj3zwkh7P37qxL87+7dgCDgrnHj8KNbEsO9SYSQJvii/HvsK/sOt8X1xYg+vcO9OeQ6cOhCDQ5cuIDhnTphWKe2/3ghQliz2+3Iyclp1N+6XC79nm5WVlajHm/V1Edgta07Wm2IKIoQBMG0m4bShUMQPRchXTjEL0j1QcBz0ffT+DtHas0JAOoPP8n1aO/evfB4PPpFTcB3cUkURXg8HuzduzfMW9h0ZWVlKCoq0m94AL40CYKA8vJylJWVcYul5Z0gCCgqKmIWyxhHi6FdAGQZxxhLa2O1csEjViTavn07BEHQX0ayLGP79u1h2jJyPcjOzobT6YQgCPQlkFaqrKwM5eXl9fZRpLWxubm5qKioQHZ2drg3pcW0425ubm64N4WZSElTJPZZzOzHRiKz+uaBsXj3zwkh7P1r/35cdrlwubYW/9q/P9ybQwhpon1l3+FCbS32lX0X7k0h14kDFy7A6fHgwIUL4d4UQlolQRAQHR3dqJfxRrvdbm/U/zT1i890c74F6m56EHVDZgV9eW7oDxUCPDf0R93NDzX4d/rrpgdbtC1yp2FQrB0gdxrGKHVBdE0ArB18P42/cyR0HABA+OEnuR6NHTsWVqsViqLoF7FkWYaiKLBarRg7dmyYt7Dp4uLiMHr0aL8v72ijWPr27Yu4uDhusbS8U1UVY8aMYRbLGEeLoV0IZBnHGEtRFL9ywSNWJJoyZQpUVdVfRpIkYcqUKWHaMnI9cDgciImJgaqqfjd2SOsRFxeHPn361NtHkdbGpqWloVevXnA4HOHelBbTjrtpaWnh3hRmIiVNkdhnMbMfG4nM6psHxuLdPyeEsHfHyJG4wW7HDdHRuGPkyHBvDiGkiW6L64tO0dG4La5vuDeFXCeGd+qEGKsVwzt1CvemEEIagW7Ot4RoAURr0Fdt7B1wDnoQtbF3AJKtwb+7+mrZEwbkTjfDPeAeflPaA77p6+Pv9f00/s6RNe4O2BIfointr2OiKOL3v/893G633815t9uNZ599ts1NaQ/4vqU1f/58v29TadOcPvPMM0ynlwyMpeWdqqr1toFVHC2GLMtB08oqljYlu1YueMSKRJIkYeHChairq/Ob0h4AlixZQqOZCVepqanYuHEj6urq6OZ8KyUIAp555hl4vV6/fRRpbWxycjJef/31Nj+lPXD12J6cnBzuTWEmUtIUiX0WM/uxkcisvnlgLN79c0IIez+6JRHL58zG8tmP0JT2hLRBI/r0xpzxY2lKe2KaYZ064oEB/WlKe0LaiLZ3V4sQct0ZNWoUEhL8Z2lITEzEiBEjwrNBDPTp0wfp6en6RTFBEJCeno7evdl32s2KFYlpilQpKSno1q2b33vdu3fHnXfeGaYtIoS0JtTGEsJOJNanSEyTmajPTAghhBBCCCHXN7o5TwhpsZSUFP3Fy7Jly/yWn332WW6xAOCuu+5CSkoK7rrrLm4xMjIy9GnFVVVFeno611hGvGKZnSazYplRxjWbNm3CXXfdhU2bNnGN8+c//9lvec2aNVzjERIOaWlpSElJMWVq7Pvuuw8pKSm47777uMYxK01mtrGR6j//8z+RkpKC//zP/wz3pjBjVjmPNBkZGfVujvI0ffp0pKSkYPr06dxiZGRk6M/hs9vt3NO0ePFipKSkYPHixVzjmNnGmlUmMjIy9JmRJEniGmv27NlISUnB7NmzucXQFBYW4sEHH0RhYSHXOGamyYy6C5hXnwghhBBCCCHB0c15QkiLbN26NeQyK1u2bAm5zNKOHTugKAoAQFEU7Nixg0ucnTt3hlxm6ciRI343WY4cOcIlzrZt20Iut8VYGzduDLnMUk1NDTIzM6EoCjIzM1FTU8Mt1okTJ0IuE9LW7dq1S390g9vtxq5du7jF+uKLL3Dx4kUAwMWLF/HFF19wiWNmmgKPE7yOG5Hq448/9jvufvzxx2HeopYzq5xHou+++86vb/ndd99xi3Xo0CFUVVUBAKqqqnDo0CEucerq6uByuQAALpcLdXV1XOIAQFlZGQ4ePAgAOHjwIMrKyrjEMbONNbNMnD17Fl6vFwDg9Xpx9uxZLnFKS0tx6tQpAMCpU6dQWlrKJQ7gK3Pr16/HmTNnsH79er0ssmZmmsyqu2bVJ0IIIYQQQkjD6OY8IaRFzLpxadaXAABg1apVIZfbWhwA+H//7/+FXGbl7bffDrncFmOZWfaWLVvmd6H2ueee4xbr6aefDrlMSFu3fPnykMssmdXGRmKaItXatWtDLrdFVCaab+HChSGXWQocCctrZOyyZcv8voDCs88yf/58v+UFCxZwiWNmG2tmmTAr/8xMU2ZmJqqrqwEA1dXVyMrK4hInEuuuWeWBEEIIIYQQ0jC6Od9WKB52r+uMqnigyqFfitcNxeu+5t+p12H+hfLAAw806f3mmjZtWpPeb4m5c+c26f3WHgcAXnjhhSa931w///nPm/R+W4hlZtkrLi7WR7FoSkpKUFxczDzW7373uya93xSqqqK2tlZ/GUcyuVwuv8+0i/os4pgZ63pLU0timZkmo9/+9rdNer8lzGpjIyVNrbWcsyp7APDwww836f2mCFeazCwTkdYebdy4UR+1rPF6vVy+0LpmzZp6262qKvNH15jZZ8nKykJtba3fe1euXGF+M9bMNtbMMmFW/pmZpvLycmRlZfl9OSQrKwvl5eVM40Ri3TWrPBBCWje318vsRQghhJDmsYR7AyJV+5MfQpSv1Hvfc8MA1Pa8vVHr8Ds5O/x+0L+x2Wz6s+qC/b82Ld81138t578GKnc3/Lm9KzCQzXP53CWbQn5uS5zVpPVVf/5Ow+sKkX+KosDjYXMzfvr06bh06RIAICoqCsDVZ34/9thjSE1NZRIHAKZOnRo0DgB0794db731FpM4TqcTTqdTjxPss5iYmBbHOXfuHGRZDhpHlmWcO3cOXbp0aXEcAPjjH/+IiooKPZaqqnr5KCsrw+XLl3HDDTe0OM7ly5fx/fffB00TyziAb8rRwsLCerG8Xi927tyJurq6oNvRVDU1Nbh8+XLQddXW1mLFihV46qmnWhwHAD766CNcuXIlaKzLly+jpqYGHTt2bHGcc+fOwev1Bo2jKAr+9re/4Wc/+1mL42jrW7FiBSRJgsVigaqqkGUZsixjxYoV2LJlC0SRzffpXC4XiouL67V/qqqiuLgYLpdLf4ZsU6mqisWLF+vTcGrpiYqKgqqq+MUvfqH/ndvtRkJCAlavXt1gO9zYOMa0SJIEWZYxffp0/XdZlpnFkiQJkiTBarVCFEW/NMmyjCFDhjCLY7H4umlaGZw5cyYEQdCPT6zSBABWq7VeHK/XC1mWAaBZsYLFCYz1i1/8wq+/0tw0GdXW1uKrr77S95GxLf/mm2/wpz/9CU888USz12/0P//zP9i9e7de1oz7bffu3cza2NraWhw6dChov+Xrr79GbW0toqOjWxwH8B03CgoKuBw3AsuEcR8Zyx8A5nVXi2dsj7S+cEvqbqA//vGPqKqqCtrGlpeX49KlS2jfvn2z1t1Qe2SsT9rftaSNDaSV82Dlr7CwkEuZiIqKgqIo+n7SygPApj0yHm+1Z3HPnDmzxXECeTwefPTRR7DZbADgt66PPvoIs2bNgtVqbfb6jdxuN/7xj3/oZVyLpaoqduzYgXnz5unb0RJm9lm8Xi/eeustvVxo8T0eD9566y3cd999epvbElobG5h3gG+qcZZtrMfjwdatW/2OF4BvP23dupVpmfB6vdi0aZPfuQ3ga/NY5p8xTcbjoSAIyMnJYZqm7du34y9/+QtEUdTrKuBL24YNG7BixYoWt3lAw3VXVVUudXfHjh1B21GWdVcrDzabza+cC4KAd999l1l5MFq3bp1er+bMmQNBEDB9+nSm1z927f8COZ/+C3U/XLsZNWQIZk1lc20qmIIDX+LTomJER0Wh7PRpAEDnDh3wzJxHmMd64e1NOH/pEkRRhKIoiOveHb/OSL/2PzZB4cFD2HngS0wafiuOV1Tgy2PHceuggZj+kzuZxtl9+Ag+KylB327d8F1VFW5PTMTxykp8deIEbhkwAA/8eDKTOHu+/gb/W1QMjyzjlv79AQAlJ0+iV+fOcHk8SBo2FONuvolJLADYe7QU//flV6j1eKCqKnp17gSX24OkoUMwdnA8szgsGK8Br8z+e9C/MfbNtf8RBKHeueG11t8YRSdPYc/xE+jVMQYVNU6MGzgAo/v3a9I6GmN/2XfYe/Ikxv5QHj4r/RYAcHv8jRgZ15dprC/Kv8e+su9wW1xfjOjTm+m6Ax2oqMTn5d8jtn17nLxwARCApH79MLxXLJd4eUe/xdHz5zG4c2ekDr6RSwzNV2erUHz6DEb17IFbunfjGou3g+fP40D1OQzv6rturf2e0LlzmLeMENIU+fn5+Pjjj+FwOJj2Y2nkPCeifAUCUO9lvXySaRytk9TQi5nqg6E/d1Wzi2WiUHnH6qISAP3GvDGmJjs7m1kco2BlgOXzBR9++GGIothg3rEYHQZcvUnU0Eu7iM/Cv//97wbjSJKEX/3qV0zi/OpXvzIlDgA899xzQfeTdiGa1RSkDz30UIPlQRAE7N4d4ss9TbRp06aQZe+hhx5iEmfmzJkh0/TOOw1/8aep9u7dC6fTqV/IFEVR30dOpxN79+5lFmvp0qWQJKle2rSYS5cubdH6je2Olh4exyfjOoKVbS2N2jKrWNp6G8o/lnF4Hp8C94ExPdrvrPMuWCzm/RVcHeXYUP0tKChgFuudd97x2/eB+41VG/vb3/42aL3VXixHdj733HNByx+r44Zxf2vp4VGfAmMZ4/GIpQnVlwBaPkNOsPaIRxtrpJXzhtojHmXCWC54teXGdbM8Zhi9+uqrDe4nSZLw6quvMov14osvBq1TWrpefPFFJnHM7LNs3rwZQP1yEfh5S2ltbLD2SJIkpm2sts+DtbPGz1nYvHlzvTjG/cUq/4xp0tZvjMkyTR9++CHcbne9dk6WZRQVFTF7fnpDdVdLH+u621C/j2Xd1cqD1o8NrFesyoPR7t279RhOpxM1NTXMr3/8c9/n+o15ADjwzTdM1x/o06JiVF24oN+YB4DzFy9yiXX+h+tI2mPPyhhez9HsPPAlqp1O7DzwJb48dhyKouDLY8eZx/mspATVTie+OnEC1U4nPispwVcnTkBRFHx14gSzOAWHDsPt9UJVVZScPImSkyehqCrKz51D9cWLKDh0mFksACg4fASX6+qgKApUVcX3587j3KVLKDh8hGkcswS2C8a2gnUfac/xEzh/5QqOVJ7G+StXsOf4Cabr1+w9eRLnr9Ri78mT2HvyJK54PLji8WDvSbbX5wFgX9l3uFBbi31l3zFfd6DPy7/HBZcL31RXo9brRa3Hi8/Lv+cW7+j581BUFUfPn+cWQ1N8+gxq6upQfPoM91i8Hag+hxqPBweqz/n9TghpW3Jzc1FRUcG8H0sj5zlRpHYNjJzv3+h1+J1wDn0QEOt/M1v99q8N/r8qSEBCwA1SxaOPwm/ShbuuCdceOd+K2O125OTkXPPv5s2bh6qqKv0bnsY8mThxYshnyjVlZGn79u31G/SBsRwOR6PX0xTB0tS9e3dm63/77bfxwAMPBL1JpCgKs+d/v/fee/pIsECqquK9995jEgcAfvSjH/ndtDF+81eWZbzyyitM4rzyyit+MxoYsYwDAM8++yzuvffeevtJ+8bzs88+yyTOO++8g+nTpzd403DChAlM4gDArFmz8Je//CVoG6YoCt5/P/hMI0313nvv6Tfog2H1JQAAGDt2LGJiYnD58mUIgqCPQgOAmJgYjB07llmslStX4p577gHg3z5oMVeuXNnsdQuCgNWrV+vTBOfn5+Ott97SR8V6fhhR0L59e2zZsgV2u71ZN5EC4yxduhTHjh2DxWLBrFmzkJycjPz8fOTm5iItLQ3JycnMYmnrvfHGG1FUVIS6ujpIkoR27drh5z//OX76058yi/P+++/ry3a7Hb1798bJkycxfvx4LFy4kFmaAN/IJq39E0UR7du3x89//nMkJyfr8ZsaK1icwFiA79j08ssvNztOoJdeegnTpk2Doih+Iz80EydObNH6jR566CG8/vrren2VZVnfflVVmbWxL730Eu69914A9ftvqqripZdeYhIH8B0XHA5H0Bsf2ufNFVgm1q1bh8LCQn1EmKIo6N69OywWC/O6q8XbvXs3OnfujPPnz6N///64cuUK0tLSml13A2l9iWDTEwPAG2+80ex1B2sntmzZgitXrsDr9erHjxtvvBErV65kUp+Aq+U8GEVRuJQJm82G0aNH46uvvgIA5u2RlnfaugH4HTOaGyfQY489hry8vKCfybKMxx57rEXrN3r88cdxzz331JsxRDu+P/7440zimNlnmTFjBjZv3qy358DVm1Ta5yxobayWHuN+l2WZaRv72GOPITc31+94AVxtI1iWiRkzZiAzM9OvLBj3F6v8M6YJgD5yXovJMk333Xcf/vKXv+DKFf9rLZIkYeTIkYiLi2MSp6G6q+Uf67o7bdq0oO0Ny7qrlQcA9cq5oijMyoPR+PHjsWvXLqiqio4dO0IQBObXP3582xi/kfPDb2I3KjqYyaNHBR05z0Pn9u3rjZxnbdLwW4OOnGft9sTEkCPnWUkaNlQfOZ/YwMh5lpKGDmlw5HxrY6zzSx1TYQsyU8bfi/fj64pK9OgYgzqPF7GdOuLk2SpAEDDx5sEY2d//mrbb69VH4Te1zzRu4IB6I+d5GNu/f9CR82P7N/76fGPdFtdXHznP25g+veuNnB/DcbT+4M6d9ZHzvI3q2UMfOd/WDe/aJejIeUJI25KWlqaPnGeJbs5zcqn/fWxXKFqD3px3Dw5+05K5zjf7XiZo6rT1wQiC0KipB//yl7+gtrZWf350Tk4OsykLjT744AMAMCXW3//+d1PixMTEICYmBtXV9WdN6N69O5Mp7QGgS5cukCSp3rPxAKBdu3bMprQHgCeffBJz587FiSDf3B40aBCzqeZvuOEG9O7dm3scwDcd9oQJE7Bz5856n02ePJnJdMsA0LFjR9xwww24cOFCvc+6dOnCbEp7ALj33nuRmZnZYCwWU9pr67JYLA2WPVZT2gO+m6FPPfUUnnzyyXpTxT399NNMZ/Kw2+0YNWoU9u3bV++zcePGNXtKe42x/Z06dar+qA3WjHH+/Oc/1/ucZexwpIlnnMBYAJhN836tODxjaaKjo3HLLbfoN/WMhg8fzjT+T3/6Uxw4cEBvY41TYrNsY6OjozFs2LAG08TyOB8VFYWkpCRuxw1jmeBdFswq50ZPPvkkHn744aDPPo6Li2v2lPYaM9sJTWA5N2pLZeJaeccjL61WK+69915s3bq13mcZGRnMpsUGfI94+clPfhL0huLdd9/NZFpswNw+i8ViwSOPPBL0sVxz585lNgW3mW2s1WrF/fffj61bt9bLP9ZlQvvSIu/8C5Ym7SfrNE2ZMgXDhw/H7Nmz/d4XBAHz589nNnOI2XU3JSWFe901qzwYLVy4EJ988gkAYOPGjVyuS0wcOQITR45gvt6GJA2/FUnDbzUl1tMPz+IeY0LCMExIGKb/Pp1TnPFDh2B8wA3r8UOH4AHGccbdfFO9aevTwe6LuYHGDo5vddPXN4bNYgl6c/5nY28zbRtG9+/HZRr7QCPj+vpNX896KnujEX16c5/OXjO8Vyy3KeyDSR18I9hN5BzaLd27tfnp7DUJnTv7TWFP09kT0jYlJydzuV5A09oTQprtr38NPnMD6ynxGpoFgccjARoa0fbaa6+1yTiA70JpMCxvmAPQR6AF0kZotMVYZpa9UaNGISEhwe+9xMREjBgxgnmsP/zhD0Hff/7555nHAnyPIrjrrruwadMmLusPR6xITNPs2bORkpJS74I3D/fddx9SUlJw332Mv8z4g4ZGObKaGtbIrDY2EtNktHjxYqSkpGDx4sXcYgDACy+8gJSUFLzwwgvcYjQ0e1CwGyIsFBYW4sEHH0RhYSGX9QPhKRNm4Z1/c+bMqXfTy2Kx4Je//CXzWIsXL653c1IQBCxatIhpHDP7LOnp6fVu6LH+kiRgbhtrZpkwK//MTFOfPn3qzUKWnp6O3r3Z3hCJxLprVnkghBBCCCGEhEY35wkhLZKSkhJymZXbb7895DJL999/f8hlVh544IGQyywFPsee5XPtjcxM009/+tOQy6yYVcYB4De/+Y3fMs+bVEuWLAm5zEpNTQ0yMzOhKAoyMzNRU1PDJY6ZsSIxTaWlpTh16hQA4NSpUygtLeUSBwC++OILXPzh2ZwXL17EF198wSWOWe0e4Hu0QqhlVsxMU+ANAdY3CIzKyspw8OBBAMDBgweZPTM40JkzZ/TR3zt37sSZM/yeYzhz5syQy6y4XC6sX78eZ86cwfr16+s9RoKlwC808PyCg1nMyr/ALzHw/FLDn/70p5DLrJjZZ9mwYYPf8vr167nEMastB3yPcAi1zJJZ+ffrX/865DJLU6ZM8VtOTeUznm/FihUhl1l68sknQy6zMnfuXL/lOXPmcIlDCCGEEEIIaRjdnCeEtMiOHTtCLrPy2WefhVxmKXD6wmDTGbIQOMqbxwhzzauvvhpymZUvv/zSbznY9KCsBE792NAzXVsqsKzt2rWLSxwAWL16td/ymjVruMUKHIX9zjvvcImzbNky/fmwiqLgueee4xLHzFiRmKaFCxeGXGbp//2//xdymZXA0cs8Zx7YuHGj3/Kbb77JJY6ZaXr55ZdDLrM0f/58v+UFCxZwiRN4o4jnzcS//e1vfssffvghlziZmZn6I4aqq6uRlZXFJQ4AHDp0yG/58OHD3GKZxaz8Cxx9vWrVKi5xANT7wtOBAwe4xDGzzxIXF6eP1E9ISGD2XPFAJ0+e9FvWvrTGQ3x8PPr1803n269fP8TH85sW2az8C5x9oKHZCFhYuXKl3/If//hHLnEC+8fvvvsulzhA/cc0rV27lkucwPXyikMIIYQQQghpGN2cJ2GjKl6osifkS/G6oXjdof9O8YY7Kdet3/3ud016v7kaGpnFY8SWWbHWrFkDVVX93lNVlcuFTbNiFRcX6yMfNSUlJSguLmYaB/DdCPN6/eu+1+utd4OspbKysuo9c/7KlStcLt6bmX87duxAVVWV33tnz55l/uUaM9NkVqxITJNZ9Qkwr401s+6aVZ/MTJOZZcKsdJm1nwDz0lReXo6srCz9GK+qKrKysoI+755VLCNescxiVv6ZWXfN2k9mHgs1a9aswY4dO7h9CSAcZfzNN9/Ejh07uH2hy4h3/pl5bhOJfT6z2gmzzt/bsjqPB3Vud8iXq64Orrq60H/n8YQ7KYQQTtyyDLfX2/KXLIc7KYQBj6LAI8tsXj8MzCCEXB8s1/4T0lTRpz+D9fJJKFI0RLkWsq0zJPcFAApkWxdc7ns3s1jSha9hObsXgFrvM6X9AHh6TWIWC8dzAVd1kA8EIHYc0PnmJq3u0oGGR2larVaIYv3vjni9XsgMOy+rVq3CZ599hqioKADAjBkz4PV6IQgCbr/9dmbTPOfl5SE7OxvR0dF6rPT0dMTHx9cbddLSOJs3b4bT6dTjzJkzByNGjMDRo0fhcDiYTfn397//HQcOHNDjaFRVxb59++ByuWC321scp66uDrt370ZUVBRUVdWfxaeqKgoKClBXV1dvG5rrf/7nf7Bnz5566/N6vdi5cyezWG63Gzt27KiXJsB382DevHmw2WwtjgP40vR///d/+nYrigJBECAIAtNYiqLg+eefh81mgyzLkGUZkiRBkiQ8//zz+PDDD4PW6ebweDz46KOP9PwDoOfhRx99hFmzZsFqtbY4jtfrrfd8YK1tev/993Hq1Ck8/vjjLY4D+PJvxYoVep4JgqC3dytWrMCWLVuY5Z8sy1i7di1sNpte/rSfa9euxZ133glJklocRysT2n7SygUA5mnavn07XnvtNb/yp2EZK3A/afnGYz9psTSSJMFisUBVVaZ1yuPxYOvWrfr6jVjWJ8DXnhcUFMBms/m1e4qiMG1jvV4vNm3apK9LK38A8N5776F9+/a4+242fTFjfdJiaHWYZX3S2iPjftLK36ZNm3DffffV23/NpbWx2n5SFEUva9nZ2UzLxIsvvoidO3fqxyFjnXrrrbeYpUuWZaxZs8Yv/xRFgcfjwZo1a5jtJ8B/X2llQUvXu+++yyxNqqpi+fLl+rq08qeqKjZs2IAVK1bUe35xc23fvh1/+ctfIIqiX/vKI5ZZtG0HoO8rWZaZp0krD1p90votrMs44J8mjZa25cuX47XXXmOSJjOPhWbR8k4URb0s8CgPkcrtduMf//iH3udTVVUvA//4xz+Yntto5U/rk2ttOcCnz6fh1Q8DrvZbtHbC6/VCFEWIosj0uOFyubBv3z6/45Pmyy+/xJ/+9Cc88cQTLY6jycvLw7Zt2/Q6lZ+fj48//pjpNQkA2LX/C+R8+i+4PR7YrFZMm3wHAOCf+z7Hj28bg4kjRzRpfU+sbfixD4H9Za39Y32dSvPvr0rwP7t2wSPL6NutG2rdbtwxciR+dEsik/UXHjyEnQe+xKThtwIAduz7HJd/eLxLp/Y34KkHZzCJo9l9+Ajyf/hyS3zv3viuqgq3JyZi/NAhTOPs+fobfPLFAXhkGbKiQFEU3DJgANInTWQaBwD2Hi1FweEjSPohDdrvYwfzmw1l37fHUHj0KCYMHozbbhzELQ4AFB0/gd2l32J8/I0YPXAAnxgnT2HP8RMYN3AARvfvxyUGC8YvoK35v09D/q2xb9nYtiHwC27XcqCiEp+Xf48xfXpjeK/YJv0v8VdSVY39Z6swsns3JHbr2qj/Me6v10sOhvhL/3scTTleNLVMBDp0oQYHLlzA8E6dMKxTxxati5DrUX5+vt+1Ph7a1llzG2G9fBICVIjyFQhQIbnPQYACAYDkPsc0lnThEASoEIB6L/HSyZD/22RBb8wDgApUhz4QNZUoivoNROOL1YVTTUFBgX5CpZ1UAVdv/LKSnZ2NiooKHDt2TI8FgPkzfbOzs+F0OgFAj+N0OlFQUICKigpkZ2czi/XOO+80uJ8Ads9ofO655/T1GuNpF89YTvH8zjvvhCx3rGK9+OKL+gWRwDyUJKne1Kct8e677/qtX7vQwzrW3r174fF49P0C+E5IRFGEx+PB3r17mcQBfFPyh8o/VlP2b968ud57xngsp7ffu3cvnE6nnmfGcud0Opnm3/bt2/3KgvElCAK2b9/OJI5WJoz1VcM6TdqoosA4rGMF7iftJUkS8zRpsTTGMs+yTmn1RVs/r/oE+NpQYxk3tkva5yxs3rzZLz3aPtJiv//++0ziAP71yRhDi82qPmntUWC6tP0UrL1qLq2N1dYfeOxlWSZ27dpV7/hkrMes0rV9+3b9S2OB5U6WZWb7CfDfV8HKOqs0lZWVoby8vF7/WJZlFBUVoaysjEkcwDclv9vtrndzkkcss5SVlaGoqEgvF8absizTpO3vwHLAuowD/mnSaGW+vLycWZrMPBaaRcu7wP3Tlsu4mV588UW/Y0bgcYPluY1W/ozxNDz6fBpe/TDgar/FeFw3po9VO6Gdnwc7PgmCwPT6B+C7NlFZWanXp9zcXObXJADfTfg6jwcqfKPe/7nvc/xz3+c4e+EC/rnvc6axAvvLgedtrP1r/364vV6oqoqys2dRVVODf+3fz2z9Ow98iWqnEzsPfImdB77Ub8wDwIVLl5nF0XxWUoLLLhcuu1z46sQJVDud+KykhHmcgkOHcbmuDm6vF7KiQAVQcpLx9VEt1uEjOHfpEgoOH/H7nafCo0dx7tJlFB49yjUOAOwu/RbnLl/G7tJvucXYc/wEzl+5gj3HT3CLYTZj35KXz8u/xwWXC5+Xf88txvVi/9kq1Ljd2H+26tp/3AzGYy7PMhHowIULcHo8OHDhgmkxCYkkubm53NtyGjnPgeeG/iFHzrMkdxoGocGR8/2ZxoK9a8Mj57smNG4VdjtycnKu+Xfr1q3Dv//9b/05u4IgwGKxYNasWUhOTg65/qZISkrCZ599psexWq36yPmkpKQmrSsUh8Ohj5z/9ltfp1YQBObPFnQ4HPrIee0bdh07dvQbOc/KQw89hDfeeKPehVotbuBzAJvr2WefxX333aev2zhyXpZlPPvss0ziAFfTFEi7yMkq1uOPP45p06b5jaYzxmI1GhsAfvGLX/ilyThynmWssWPHwmq1wuPx6Pml/bRarRg7diyTOADw2GOPIS8vz28EmkaWZTz22GNM4syYMaPexTDjCNLbb7+dSRzAl38xMTG4fNl3EUTbPwAQExPDNP+mTJmC1157DYqi1Bs5r6oqpkyZwiSOVia8P1xQMt4sYJ2m9PR0PU2B32hkGStwPxlHC7JOkxZLuzAsy7K+j1jWqcceewy5ubn6+o1Y1ifA14Zqx6HAkfPa5yzMmDEDmZmZ9Y4XmgcffJBJHMC/PhljsK5PWntk3E/G8jdjBruRTVobC6DeyHlFUZiWiYkTJ2Lnzp36SEtjmgAwS9eUKVPwyiuv+OWfVu4kSWK2nwD/fQXA71ilKAqzNMXFxaFPnz74/vvv692MHTlyJNNnSt933334y1/+gitXrvi9zyOWWeLi4jB69Gjs37/fr9/COk1aeTBOnW9sk1jWXWOatPKtlfm+ffsyS5OZx0KzaHl34MABAFf7sG25jJvp8ccfxz333ANRFOuNnFcUhem5jVb+amtr9ZHzGh59Pt79MOBqvwW4eg6gfcmB5XFj5cqVmDp1qt/xyWjiRLajih0OB7Zt26Z/uSUtLU0fOc/Sj28b4zdy/se3jQFwdeR8YzT2OlV+fj7ee+89uH64iW232xEVFYWf//znTK9Tae4YOTLoyHlWJg2/NeTIedZuT0wMOnKetaRhQ+uNnE/sz/j6qBZr6JCgI+d5mjB4sD5ynrfx8TfqI+d5GTdwgD5yvjUztpmL/2MybCFu1nxZUYHi777HqL69cWuvXg3+nVuW9VH4TZ2hZ0yf3vrIedIyI7t300fON5Zxfz2amABriNl0/q+iAscvXoIkCBgX2xNDO3Vq8G89iqKPxG9qmQg0vFMnfeQ8IaTp0tLS8MYbb3AdOU835zmo7Xk7asHupk0ocqebIXdq2nTyzTYwrcWrEAQB0dHR1/y7J554ArW1tZg2bRoAICcnp1H/11RLlizBvHnz9DhbtmzhEic1NRWpqanc0xQszsaNG7mkaerUqdizZw/27dtX77Nx48YxmdIeAKKiojB+/Hjs3Lmz3meTJ09mNqU9APz0pz/FgQMHuMey2WxISUnRb34Y3X333cymfQR8aSotLeUeSxRF/P73v8eTTz6pv6dN4fXCCy8wnd7UarXi3nvvxdatW+t9lpGRwWy6ZYvFgkceecRvantt2sy5c+fiZz/7GZM4gC//nnrqKTz55JP1DvpPP/000/yTJAmLFi3CqlWr6n32xBNPMPtGYLAyoWGdpilTpiA2NpZ7LDP3kzEWcLU+AWBap6xWK+6//35s3bq1XppY1ifA154nJSVxb2O1L/MFPpYCAB555BFmU9oDweuTlo8s65OxPQrcT3PnzmU2LTZgXhsL+G7o9OvXL+i+YpkuSZKwePFirFq1ql7+LVmyhOk3oc3aV4Ig4JlnnsHs2bPrfTFk/vz5Lb6YYzRlyhQMHz4cs2fPrrcNrGOZRdt2Lf+0PLRYLEzTFKwvoWFdd41p0mg3FJ955hlmaTLzWGgWY9653e5677fFMm4mm82Gn/zkJ6ac2wT2j4x49fkAfv0wIHi/RYvFsp2w2+247bbbsG/fvnp1d9y4cUyntAd81yYmT56sX5dITk7G1KlTmcYAgIkjRwSdur4p09k39jrV1KlTkZyczP36keZHtyQym8I+mAkJwzAhYZjfMk/jhw5hPoV9MONuvgnjbr6JexwAGDs43m8Ke57T2Wtuu3EQ9+nsNaMHDuA2nb0eo3+/Vj2dfTA2SYItRNs8Ji4OYzh/sW94r1iazp6RxG5dGz2dfTBWUYQ1xPnkf/bt2+x1t8SwTh1pOntCWiA5ObneY+NYa3tnzoSQVuMPf/hD0Peff/55pnGefvrpoO8/9dRTTOOYGWvx4sX1LvQJgoBFixYxjWNmrFGjRiEhwX8WjcTERIwYMYJpHACYM2dOvQtVFosFv/zlL5nGSU9Pr3fBpV27dkxvzGvMzL+UlBR06+b/reDu3bvjzjvvZBrHzDSZFSsS02RWfQLMa2PNrLtm1Scz02RmmTArXWbtJ8C8NPXp0wfp6en6MV4QBKSnp6N3b/YjaMyMZRaz0mRm3TUrTWYeC80SiWXcTGae20Rin8+sdsKs83dCCCGEEEJIaHRznhDSIi+88ELIZVb++7//O+RyW4y1Zs2akMttMdayZcv0kSSiKDJ97ECgdevWhVxmJfBbcuvXr+cSB/DlnxHP/Pvzn//stxwJZcKsWMuWLfO7eB8JaTKrPgHmtbFm1l2z6pOZaTKzTJiVLrP2E2BemjIyMtC1q2+kR9euXZGens4ljtmxzJKRkYH27dsDADp06MAtTWbWXbP2k5nHd7MYy0P79u0jooybycxzGzP7fGaVc7PaCbPO3wkhhBBCCCENo5vzhJAWGTt2rP4t/+joaG7PmRwyZIjfzbAhQ/hNhzZixAh06NABgO9CLa9RQMOGDdNH8XXr1g3DhvGbRm7QoEF+F5YGDeIzDVrHjh2RkZEBURSRkZGBjh35TaEUHx+Pfv1805/169cP8fF8ppCLi4vTR80kJCRwfe5oXV1dyGWWevTogUmTJgEAJk2ahB49enCJY2aZMCtWVFSU/ugO7VmTvJiVJrPqE2BeG2tm3TWrPnXv3l0f0W6xWNC9e3cucQBzy4RZ+8qs/QSYlya73Y4FCxagR48eWLBgAbPHCoU7Vjhoz4Xnwcz2yKz9ZObxnbQNZp7bmFX+zCznZrUTZp2/E0IIIYQQQhpGz5wnhLRYTk4O9xiZmZl+y1lZWXjooYe4xfvwww+5rdvogw8+MCVOZmamftFZVVWu+Tdr1izMmjWLy7oDvfnmm6bE4Tnyx+jXv/613/LixYuxefNmbvEammKcNTPLhBmxMjMz4XK5AAAul4t7e2RW/plVnwDz2liz6i5gTn3KzMzUnxMryzL3smdmmTBrX5nV7gHmpWnChAmYMGFCxMUyQ2ZmJi5dugQAuHTpEtc6ZWZ7ZNZ+MvP4bgYzy0OkMuvcBjCv/JlZzs1qJ8w4fyeEEEIIIYQ0jEbOE0JavfLycmRlZdW7uVxeXh7mLWsbKP/ahh07dqCqqsrvvbNnz2LHjh1h2iISDNUnEi5U9ghhi+oUMaLyQAghhBBCCCHELHRz3gTRpz9DzLH30eH4X2FzfsM9nnTha9hObIN04Ws+Acp3Aoff9f3kJC8vD4sWLYIkSdxiRKrAvMvPz8ejjz6KvLy8MG9Z86iqqj9/T5Ik2Gw2SJKkv89zCtJIYMw/jSRJkCQJy5cvp/xrJWRZxtq1a2Gz2WC1WhEVFaWX9TVr1ugjZUl4UX0i4UJljxC2qE4Ro2DlAfA9SmvRokXYvn17GLaKENIUu/Z/geffeBO79n8R7k0h17G9R0ux5u+52Hu0NNybQghzX54+g01ffIkvT58J96YQQkhEoJvzJrBePgkBKkTVC9uFQ9zjSRcOQfRchMQrlvMEAPWHn3xkZ2ejsrKSbs43Q2De5ebmoqKiAtnZ2eHdsGYqKytDUVERZFmGJEkQRRGSJEGWZRQVFaGsrCzcm9iqGfNPI0kSBEFAeXk55V8rsX37dgiCAFEUIYqi/rtW1umicOtA9YmEC5U9QtiiOkWMgpUHwHdz3u12m/YoFkJI8/1z3+c4e+EC/rnv83BvCrmOFRw+gnOXLqHg8JFwbwohzBVXVOJCXR2KKyrDvSmEEBIR6Oa8CTw39IcKAYpggbvTMO7x5E7DoFg7QOYVK2YAAOGHn3w4HA7ExsbSaNFmCMy7tLQ09OrVCw6HI7wb1kxxcXEYPXo0RFGELMtQFEW/UT9mzBjExcWFexNbNWP+aWRZhqqq6Nu3L+VfKzFlyhSoqgpFUaAoiv67VtanTJkS7k0koPpEwofKHiFsUZ0iRsHKA+AbUW+z2XDfffeFacsIIY3149vGoHunTvjxbWPCvSnkOpY0dAi6tG+PpKFDwr0phDA3qlcsOkVFYVSv2HBvCiGERAS6OW+C2p63wznoQVwc+ADcMTdxjyd3uhnuAfdA7nQznwB9JgFDf+H7yUlqairWrl1LN+ebITDvkpOT8frrryM1NTXMW9Y8giBg/vz5EAQBsizD7XZDlmW/90nDguWTLMuQZRnPPPMM5V8rIUkSFi1aBLfbDY/Hg7q6Or2sL1myhGYRaSWoPpFwobJHCFtUp4hRQ+cVqqpi3bp19CVJQlqBOo8HdW53g68xw4bi8Ydm4raEYSH/rs7jCXdSSAQbOzgei6emYezg+HBvCiHM3dqzB2aNuBW39uwR7k0hhJCIQDfnCSEtVlhYiAcffBCFhYVc1t+nTx+kp6f7vZeeno7evXtziWemTZs24a677sKmTZu4xdDyT7vgKAhCxORfJElJSUG3bt383uvevTvuvPPOMG0RCSaS6xPvtjwcscxME2/hOBZGUv6FA+Vf85mRd5Hcv6Q2tuki+fgORNa+0kRimszSFvNuyUtrsOCP/93ga+GfXsTCP70Y8m8W/PG/seSlNeFOCiGEEEIIIXRznhDSMi6XC+vXr8eZM2ewfv16uFwuLnECb1D+x3/8B5c4ZqqpqUFmZiYURUFmZiZqamq4xcrIyEDXrl0BAF27dq13MZq0Dn/605/8lv/4xz+GaUtIKJFYn8xqy82MZWaazGLmsTAS889MlH/NZ2be3XPPPfpU5qIottnHQBlRG9t8kXh8ByJzX0VimsxCeUcIIYQQQkj40c15QkiLZGZmorq6GgBQXV2NrKwsLnGeeOIJv+Unn3ySSxwzLVu2DIqiAAAURcFzzz3HLZbdbseCBQvQo0cPLFiwAHa7nVss0nyffPKJ3/L//d//hWlLSCiRWJ/MasvNjGVmmsxi5rEwEvPPTJR/zWdm3m3btg2qqgLwTWGenZ3NLZZZqI1tvkg8vgORua8iMU1maUt5Z7fbkZOTc82XMQ1ZWVmN+p+cnJyIqeOEEEIIIaTtoZvzhJBmKy8vR1ZWlt9FzaysLJSXlzONs2PHDlRVVfm9d/bsWezYsYNpHDMVFxfj4MGDfu+VlJSguLiYW8wJEybg/fffx4QJE7jFIM2n1ScjHvWJsBFJ9cmsttzMWGamySxmHgsjMf/MRPnXfJHYHpmJ2tiWi6TjOxCZ+yoS02SWtpZ3giAgOjr6mi/jTXa73d6o/4mOjtYfY0EIIYQQQojZ6Oa8CWzOb9DhxBZ0OLEFNuc3TNctXfgattIPEHX0PVgrdjJddz3nvwaObAYOv+P7ef5rvvFMkJeXh0WLFkGSJEiShEWLFiEvL49LnEcffRT5+fmQJAlRUVGYM2cOl1irVq3C9OnTYbVaAQD5+fl49NFHmcdSVRUbNmzQlyVJgs1mgyAI2LBhg37C31KyLGPNmjX6+q1WK2w2G6KiorB27VrIsswkjpkURcGKFSv0NGnlz2az4fnnn9dH05Prh1afRFHUy4TxfVb1iZBAgW05AL1NWr58OdOyZ1asSKxPZh4LjfvJeJxqy/lnJsq/5lNVFcuXL4fFYtHrrfY+67yLxHbCrLIXrC0HfDfRFi1ahO3btzOJQ1ouEtujSKy7ZjHr/N0oPz9f30+8rkuEg5Z3+fn54d6UNmv34SN4cevfsPvwkXBvCmkFik6ewiuf7kTRyVPh3hRCCCHENHRz3gS2C4cgKnUQlTrYLhxium7pwiGIqhcCVIiXTjJddz3VBwHV6/td9fqW27js7GxUVlbqNwcqKyu5TGeZnZ2NiooK5ObmQpIkCIIAp9PJJVZBQQFkWdafn5mbm4uKigrmscrKylBUVKTfEJAkCaIoQhAEFBUVoaysjEmc7du3Q5Zlff3aSxAECILQJi8A7t27F06nU0+TVv5EUYTH48HevXvDvYnEZFp9EgRBLxOA74Ycy/pESKDAthyAfpwqLy9nWvbMihWJ9cnMY6FxPxmPU205/8xE+dd8ZWVlKC8vhyAIfjfneeRdJLYTZpW9YG054Ls573a78eGHHzKJQ1ouEtujSKy7ZjHr/N0oNzdX30+8rkuEg5Z3ubm54d6UNuuzkhJUO534rKQk3JtCWoE9x0/g/JUr2HP8RLg3hRBCCDEN3Zw3gbvTMChiFBQxCu5Ow5iuW+40DIpggQoBSvv+TNddT9cEQLD4fhcsvuU2zuFwIDY2FrIsQ5ZlxMbGwuFwcInTq1cvpKWlQZZlqKqKmJgYLrGSkpIgSZI++jotLQ29evViHisuLg6jR4/WvwQgyzIURYGqqhgzZgzi4uKYxJkyZYp+EUlRFP2lqipUVcWUKVOYxDHT2LFjERMTo6dJK3+KosBqtWLs2LHh3kRiMq0+aeXbeNGMZX0iJFBgWw5AP0717duXadn7/9n79/ioqnv/H3/tvTOTgULAcikQIor0JrYi0Ag//HD6OZ5wDKYQRE24FbwAWsGIpccbQgSKvXDAEKwgXrCIZLBI4ISkks+n53z4lgOmTayt2NPW4iWOSSOpJCCZzMze+/dHujZ7z0yus9YaZvt+Ph7zgL2T7Ne83+u93mvttfZaW5aWG+uTzLbQXk72diqV/ScT8l/fycrKQmZmJkzTjHmIh7fv3JgnZMVevFwOdKzK9Xq9mDt3LhcdInHcmI/cWHdlIev+3U5eXp5VTqLGJZIB811eXl6yv0rK8r+uuQZDMjLwv665JtlfhbgEuP7KK3BZ//64/sorkv1VCIIgCEIaNDkvgVDGV3Duittx7orbEcr4Ctdr64O/itC4+Wj/8iKER07neu0YLvsq8LUFwNcXd/x72VfF6kkgNzfX2g5W13WUlJQgNzdXiM7OnTuRk5MDXdfR3t6OXbt2CdFavXo1XnnlFYTDYQBATk4Odu7cyV1LURSsWLHCek+brusIhUIwTdNxPlE0TcOqVaus64fDYYRCIbS3t+PBBx90rKxKFVRVxaOPPmrZxOIvFAph3bp1MYOdhPth9ck0TSsm7OfpfYiEKOLFGMtJa9eu5Rp7srTcWJ9ktoV2P9nbqVT2n0zIf31HURSsXbsWkUjEMTkvwnduzBOyYq+z65mmiW3btqXkg7NuxY35yI11Vxay7t/t5OTkWOUkalwiGTDf5eTkJPurpCxTvv41/OC2WzHl619L9lchLgEmjbkc3/v2dEwac3myvwpBEARBSINmgAiC6DOZmZkoKCiwbuQVRUFBQQFGjRrFVWfGjBkYOnSo49ywYcNw4403ctWRycSJEzF+vHP3iWuuuQYTJkxIzhciko6s+kQQ0ciMPVlabqxPMttCN/pPJuS/vuPGfCQTyrFENG4sKzfaJAvyHUEQBEEQBEFcGtDkPEEQCVFYWIghQ4YAAIYMGYKCggIhOk899ZTjeOvWrUJ0ZFJcXGytkldVFevWrROqd+LECSxcuBAnTpwQquNGZPlOVn1iUEz0Hbf5TmbsydJyY32S2RYWFhbC4/EAADwej3D/uQ3Z8ecm3JiPAPf1JQoLCzFgwAAAwMCBAynGL2HcmI/caBMgJ09Q3SUIgiAIgiCI5EOT8wRBJITP58PKlSsxfPhwrFy5Ej6fT4hORkYGvF4vAMDr9SIjI0OIjkwGDRqEwsJCqKqKwsJCDBo0SJhWMBhEaWkpmpqaUFpaimAwKEzLbcj0naz6BFBMJIIbfScz9mRpubE+paend3nMk9bWVoRCIQBAKBRCa2urMC03IjP+3IYb85Fb+xIM0zSFaxB9x435yI02JaN/SXWXIAiCIAiCIJIDTc4TBJEwU6dOxcsvv4ypU6cK0ygrK0M4HAYAhMNh+P1+YVoyWbJkCX75y19iyZIlQnXKysrQ3NwMAGhubnaN/2Qg23cy6hNAMZEIbvWdrNiTqeW2+lRcXOw4fuKJJ4ToAMADDzzgOF61apUwLbcis065DbflIzf2JcrKynD+/HkAwPnz513TFroVN+Yjt9kkK09Q3SUIgiAIgiCI5EOT8wRBXPIEAgH4/X7ryX7TNOH3+xEIBJL8zVID8l/fcavv3GqXDMh3RDSyYqKurg6nTp1ynHv77bdRV1fHVQcAjh49ijNnzjjOffLJJzh69Ch3LYJwO25sN9xoE0EkE1l1iuouQRAEQRAEQVwa0OS8QLytf8aAD8vhbf2zUB3t7J/gff8gtLN/EqpDJEZVVRWKioqgaZpwrerqani9XqSnp2Pp0qWoqqoSrikK0zSxfft2qKoKr9dr+Y+dp634uob5CQA0TbN8SP7rHrvvgIv+UxQlpX0XbRfQYZumaVi/fn3K2iUDykdENLJyrGEY2LBhg3V9u9amTZtgGAYXHQDQdd16lz3TSU9Ph9frRUlJCXRd56ZFEG7HNE2sX78eaWlpjnuAVG433No/IohkIat/mey6W11djeXLlwsfmxCtw8ZaZIzrEARBEARBEO6FJucF4j37DrTIOXjPviNURzv7DtTwOWiCdYjEKC8vR2Njo5SbuIqKCqiqCkVR0NraivLycuGaoqivr0dtbS0URYGqqpb/dF1HbW0t6uvrk/wNL22Y/3Rdh6Zplg/Jf91j9x0Ay3+KoqS076LtAjpsUxQFgUAgZe2SAeUjIhpZObampgbhcNi6vl2rtbUVNTU1XHQAoLKyMm7eY/9WVlZy0yIIt1NfX49AIABFURz3AKncbri1f0QQyUJW/zLZdbeiogINDQ3CxyZE67CxFpqcJwiCIAiCIBKBJucFEhp8NfS0gQgNvlqojj74ahiegdAF6xCJkZ+fjxEjRkhZcZaXlwfDMGCaJjIyMpCfny9cUxRZWVmYNGkSDMOAYRiOwYTJkycjKysryd/w0ob5T1VV6Lpu+ZD81z123wGw/GeaZkr7LtouoMM20zQxevTolLVLBpSPiGhk5djs7Gx4PB7r+natjIwMZGdnc9EBgJkzZzomBljeY//OnDmTmxZBuJ2srCxkZmbCNM2Yh+JStd1wa/+IIJKFrP5lsutuXl4eRo4cKXxsQrQOG2uhnYQIgiAIgiCIREi5yfmqqirce++9mD59OiZMmIDZs2fjF7/4RcwWXK+++ir+9V//Fd/4xjcwa9Ys/Od//qf07xrK+ArOX56PUMZXhOrog7+K0BVzoA/+qlAdIjFyc3OlbQebk5ODUCiE9vZ27Nq1C7m5ucI1RaEoClasWAHTNBEKhSz/sfOKoiT5G17a2P2k67rlQ/Jf90T7iPnPNM2U9l28smeTfWvXrk1Zu2RA+YiIRlaOVVUVjz/+uHV9u9aaNWscD9skiqZpWLVqFYCLea+9vR2hUAgPPvggrRQjiF6gKArWrl2LSCTiuAdI5XbDrf0jgkgWsvqXya67OTk52Llzp/CxCdE6bKyFJucJgiAIgiCIREhL9hfoLbt370ZmZiYefvhhXHbZZfjv//5vPP7442hsbMSKFSsAAEeOHMHjjz+Oe+65B1OmTEFlZSVWrFiBvXv3YsKECck1gCBcyIwZM6z/Hz16lPv1MzMzUVBQgFdeecU6V1BQgFGjRnHXYoi2SaaObP/J8p0MrWTE3k033QTDMKCqKn75y18K0XBzTIj2XzJiIi8vD6FQCF6vFxUVFcJ03FR3ZerIiomJEydi/PjxOHXqlHXummuuEdK3nTFjBnbv3o0zZ85Y54YNG4Ybb7yRuxZj7ty5OHfuHAYOHIgDBw4I05k/fz7OnDmDoUOHOspMBKtWrcKpU6cwfvx4bN26VZiOjHaDIaucZs+ejba2NvTr1w+HDh0SpgMAd999Nz788ENcfvnleO6557hfPxnthmj/udEmxr/+67/CNE0oioLXX39dmA4gt+5u3LgRx44dw/Tp07FmzRphOjL7ErJiQka7IatOJaPuEgRBEARBEAQRS8qtnH/mmWewZcsWzJw5E1OnTsX3v/993HrrrXjxxRdhGAYAYNu2bbj55pvxwAMPYMqUKVi/fj2+8Y1v4Omnn07ytycI9/Hd7363y2NefPrpp47jv//970J0AKCoqKjLY17s2bOny2OehMNhx3EoFBKi8+qrr3Z5zJMXX3yxy2NeRO/MwtoaERw9etS6vmEYQgc1ZdWpffv2dXnME1n++8IXvuA47t+/vxAdAPj1r39t1ddQKIRf//rXQnSi38sp8n2gsrRk5QgAGDx4sON40KBBQnTuu+8+x/H3vvc9IToAsGDBAsfx/PnzhWn97ne/w7lz5wAA586dw+9+9zshOu+88471wMGZM2fwzjvvCNEBOt7tyx6kOHXqlLB3+cpsN2SVU01NDdra2gAAbW1tqKmpEaIDAO+++y4+/PBDAMCHH36Id999V4hO9MTXyJEjhegA8vwX/TqNb33rW0J0AHk2HTlyxOr3maaJI0eOCNEB5NbdpqYmHDt2DABw7NgxNDU1CdGReR8gKyZkthvRO9Pw3BXHztVXO1+H+PWvf12IDkEQBEEQBEEQnZNyk/Nf/OIXY859/etfx/nz53HhwgXU19fj/fffj9nCaubMmThx4oSwCSmC+LzS2NjY5TEvqqqqujzmyR//+Mcuj3khc3Je1mDZrl27ujzmiaxJX5mTy5s3b+7ymCey6pTMCVJZ/pMZ5+vXr+/ymBc/+9nPujxORS2ZdVeWTWvXrnUcr1u3TogOAJSUlHR5zJN/+7d/6/KYF2y7/s6OecJ29GKsXLlSiI7MdkNWOUWv6hW5yvf+++/v8pgXMstJlv9Wr17d5TFPZNkkM+/JjIkHHnjAcSwq98nsH8mKCZnthqx7Q5k5liAIgiAIgiCI+KTc5Hw8amtr8aUvfQkDBgzA6dOnAQBXXnml43euuuoqhMNhvqtWjDDfT5daka7/Vg91fLrViXSrY+rhLj9GJAQjEur297rVIlIe+7aFPTnfV/Ly8np1PhFk2TR37txenU+EOXPm9Op8X5k3b16vzieCLJtkltOyZct6dT4RZNWp22+/vVfnE0GW/xYtWtSr84nw/e9/v1fn+4pMm2RpycoRAHDHHXf06nxfOXr0qGObeQD45JNPhKy2lBV7QMdWy70531e2bt0asxOKaZpCtpv3+/3Wik7GhQsX4Pf7uerIbDdkldNjjz3Wq/OJsGvXLkQizvuVSCTCfUIx+kGN7s4ngiz/yfIdIM8mWbkckFt3ZbUdMu8DZMWEzHZDVp9ZVi4nekYoHEZ7KNTpJ9jejmB7e5e/0x4KIRTuZjxRIqFwGO1dfIKhEIKhUJe/0x4OX1o2RSII/eM7dfaxl0WnnwiNkYokFIlw+1wqhHSd26c7wpx0wt1o8dLpkZZhdPn37ZEI2iOR7nUE7p7ZW8KGwe0TjWmaaGtr69EnGAxafxcMBnv8d9H9qg6bzG6/q70sOv/EXpsgLnVS7p3z0fz2t79FZWUlHnroIQBAS0sLACAjI8Pxe+yY/byvtLe3W/9P//PeuL/j9XqhKErcn5mm2e3q/QsXLsA0TUeiwx/jPzWdiBZLinad9rd/3q1OPDXDMGK2zY6n1RMKCwut/6enpwPoeA8ao6ysrEfX6Y7q6mo8//zzwnUA4NFHH7UeHInWUhSF62q+FStW4MyZM3FtGjp0KLZv385FZ8mSJZZGNKZp4re//W3Mlnl94cyZMzBNM66WYRj48MMPMXTo0IR1AOC9997rtE6ZpolTp07FPPjTF86ePYsLFy7EtSkUCmHDhg3cJkA+/fRThMPhuFrBYBCBQACXXXZZwjqtra04d+5cjI5pmjh//jz8fj++853vJKwDAIcOHUIkEolrUzgc5mbT2bNn0d7e3mk5lZWVYdasWQnrAMBnn32Gjz/+2NJi+VJRFHz88cf45JNPYrZS7ysHDx4EAOF1qqWlpdM4b2tr4xrnW7duRUNDg8N/rB4HAgFu/jt37hw+/fTTuDZ9+umnXOO8ra0N//M//xO3Tr3zzjtobm5Gv379EtY5d+4czpw5E5P7TNPEmTNn8Le//Q0DBw5MWAcAHnroIZw9ezbGJsMw8Le//Y2bVld5LxKJYMWKFfjJT36SsA4AnD9/Hk1NTXHLKRAIoKmpCQMGDEhYR9d1bN26FZqmIS0tzYrxSCSCrVu3YurUqTHb4faVzmIPANfYAzp27HjjjTfixsSxY8c6rW+9JRQKoaqqyvKfnf/zf/4P7rjjDni93oR1AOD111/Hnj174PF4oCiKVVaKomD37t3Izc2N+Q594bPPPkMgEEB6erqjzQDAvd2oqqrCyZMnY3JsJBLhWk7BYBBvvfWWZROzxzRN1NXV4e9//zt8Pl/COgDwy1/+EocPH7ZyH9MzDAOvvvoqbr/9dng8noR1Lly4gD//+c9xY+/999/HmTNnuL0apbKy0vJfNDz9Fw6H8dprrznaDcMwoCgKDh8+jCFDhuCmm25KWAfoiIm6ujqHTSzeedp0/vx5BAKBuPcBn3zyCfbv38/tAcYjR46goaEhrlZ9fT3Xuvv666/jhRdesNoHTdOsWC8pKeHWdrS2tuLs2bNxbeJ9HxAMBvG73/1OeJzb2w1N0xx2/epXv8KYMWO4xXlLSws+++yzuDZduHABDQ0NXF6X097ejmPHjsXYZJomTp48iQMHDsTsQJkI27Ztw3//93/HjEuMHTsWmzZt4qZTXV2Nl156KUZHVVXccccdyMnJ4abzwgsvOMYm+mKTffzt4Z89E/d3PB4PVFV1tIWMvozzdcaJU+/g8PH/hm4YUFUFRtTExoRxV2H+v9zYK63HX9zdpU3x6Ol4Yk9sAgD/sV/jD++/j+gRyMwvfhHfy5vZ5d/G03piX/yHK6NtYuXVk3Hf3tr0izdq8M5HAaiKgohhQFGAmRMm4FtXje32b3ujVfve+zj57l8xZdxVePODD9Fw9iwAYHxmJm751qQe6QDosV21H3yIN957H9dfeQU+/Pvf8ceGRqRpGm782lcxaczl3WrZH4bdfPT/dPr7nZVVd7HHxud7Y9PvAh/jV395F7ppIj0tDWFdx1eGDcV3xnc9PhrPppJjnb/SLroPa5omdF2H3s2Etd0mu1bpiTe6/Du7D1m/rzs9pmXXefo3tV3q2LHb2Je5lGfqftfl30T3z7uLB6D3dffUp5/irea/Y1g/Hz5pC2JYPx8+Ov8ZoCjIHjYU47sYu4wXE7v++D+d2qJpmlUe9j5fT8spGAw65mQ6g8UCawvnz5/fbdwxysrK4PP5HP576YMPurSpp3bY6Us+OtbSig/a2zEmPR3TB2V0/wdRWj3V6Su9mVsjEqe6uhr79+9Heno6IpFIr/3f03v8lJ6cb2xsxKpVq3D99dcLe891ND15xxgbgOsrf/rTn5Cent6jLfgT0frTn/4Er9fLRae796Exrd4ST5PXFuNsgkq0DgBrYj6elmmaXLXYyoh4Np05c4abVltbW5cx8eijj+LJJ59MWOfRRx/tdMJcVVUsXbqU2839I488gvT09E7tWrVqFReb1q5dGzPIY6empoZbOT3++OOdammahqVLl2LDhg0J66xfvz5unmDHe/fuxbhx4xLWAYBXXnmly9jjZdPatWuhqmqnWnv37sWXv/zlhHUA4Cc/+UmM/+z/X7FiBbftg/ft29dpzuZZp4qLi7tsO3jG+RtvvNFp7Kmqys1/Gzdu7NQmRVG4xnlpaWnc+GPH3//+97lsk71x40ZomhYTE0znnnvu4bbd6QcffNBpLuep1VXeY9+DV+w9+eSTXeaJ733ve3jkkUcS1jlx4gR0XbfaQ6anaRpCoRBeeuklTJ06NWEdoPPYY3q8Yg/oyKNdxcSaNWtw5513JqzzyiuvAEDcuFBVFRs2bMD8+fMT1gEu5lj7QJm9vJ5++mkuu/H85Cc/scopWgfg227s3bvXkSPs9ui6zq2cduzYYdkTrz186KGHcM899ySsA1zsS0TrMDt/+tOfctlpY8uWLQDixx4AFBUV4cEHH0xYB4gtJzuapnHz38GDB2PaDXvOeOWVVzBmzJiEdYCOmIjnO94xwfr3nfVlX375ZVx11VUJ6wDAyy+/3GlfQtM0rnXX7/dDURRrAt6emwzD4NZ2rF+/Pm5fgsGzf7Rjx44u2yheMWFvN+LZtXfvXm5xXlxc3GVfYtmyZSguLk5Y54UXXgAQ3ybWj73iiisS1mGcPHnSurad06dPcx3/OHjwICKRSIyOYRg4ePAgRo8ezU0n+mE4Rm9s6sn4mz0eejve15txvmNv/R76P1ZPRk/MA8DvT7+HrnpHvdHqKsZ7Op7Y09eUvv3BBzET8wAQ+Pvfu/3bRGzqTVn11qZ3PgrAME0Y/4hB0wRO/OUvPZqc743WyXf/ir9/9pn1L+OPH38MoOvJefu4b0/teuO99/HphQt447330dLWBhMdK6vfeO/9LifnmZZ9AV1XdHZf3ZPYYxOQPbXpN/UfQf9HObX/YxX+nz8509WfWFq9sSm6z8z+7W7y0m5TT7UApw/t/+9Kj2n1RsdOb+Y8ejOXwojuY3YXD0ynN3X3rea/oyUcxrlwGAZg/ct+1tXkfG9iIl7f3H5/2JNy6qlN0fXJ/lBAd/TGf8ymntoRTwfoed39oL0d5j/+7Q29jYm+0te5NaJvHDx4EOfOnbPupXrr/0mTum4zGSk7Od/a2oqlS5di8ODB1iAiAOuJ4nPnzmHYsGGO37f/vK+MHz/e+n/7VxYAauyKirTA69DCn8b9e1NR0P61JbE/MMLWSvyvfe1r8Pl8ME2z29XbS5Z0XCveTYKiKF3+PZuE7InOgw8+iL//oyMbT2vKlCm49957u9XqLfG0vv71r/f6OvGYM2eOtXJepA7Q8SQ1m6CP1lIUhavW0KFDrdXmdh32M15a/fr1i9mylWGaJjZt2sRFa9euXbj33nvjdpIMw8CuXbu4rZzfunWrtQtHNGwLQx4r53ft2oW77rqr0zqRnZ3NrZx27dqF5cuXx/2Zrut47rnnuKwy37lzJ+6+++6Y86wTtXDhQm42zZ8/3xowi6e3a9cuLjbt2rWry+1FFyxYwM2m7du3O7ZNNU3TMbGzfft2bquo5s2bh3379sWNP5516tlnn8XSpUs7/TnPOL/++uutAUAAjqcZDcPg5r8dO3bgrrvuivsz0zSxaNEibjb9+7//O7773e/G5D72RPy///u/c1m9vGPHDqsvYY8JpvP8889zWzk/ZswYvP/++zHnjX8MCu7YsYOLVld5j30PXuX0s5/9DHfccUfccmI/57Fy/itf+QqOHDkCXdcdE7G6rkPTNCxevJjbyvnOYg8A19gDOvLo7t27Y86zmNi4cSOXFdmPP/44br/9dst/0VqPP/44txvdefPm4fnnn4+ZnGfldd9993FZOb99+3YsWbLEGrCww7vdWLBgAV588UXHKktmD8CvnH784x9bD1xHr5zXdR0//vGPua2cnz9/Pl588UVHOQEXY+8HP/gBl5XzJSUl1mqSeA/olpSUcFs5z+pTvPadp//GjRtnraphWmwFlaIomD9/Prcc++Mf/xgLFiyIaZ94x8TPfvYzLFy4MO5qCNM08d3vfpebTQsXLsTPf/7zuCtidV3nWncLCgrwwgsvOAYy7THPq+3YuXOn1Y+NF3887wN+/OMfY9GiRZ22Ubxiwt5uALF28bwPePbZZ3H33XfHtYnd2/BYOb9x40YUFBTE2MTqFE+bgI4xov/+7/+OGZcYO3YsV505c+bgpZdeslY72ieP5syZw3X8iK2cT8Smnoy/PfPMM/jtb38bYxPQ8QrPrh7WYGNvPVnBN/3ab3a5cv6bY7se+/jqV7/a47HLZ555BjU1NVY725fxxJ6uSrxmzJhOV853R19sYn0i0zShqmq3ZQT03qarR2fGrJyf2sOFAsymnmhNGXdV3JXzXx81qsc6QM9Xql5/5RVxV85ff+UVPdKy66ye8S/wdtLHPnLqFP70t0+s4wyfD5+FQvjyl4bhZts4P9CxPT5bhc/G53tj07eyRsddOd8d8Wwqmn4DvJ2002W//wM++ewCFABpqgpNVTElazS+MeJLMb8b0nVrFX5nNq2cej08XfQJjv71Pfz100+hqSquGDQIn1y4gGu/NBzXDB/m+L2wrlur8JmWXee+b03qUsfOgT/9BZ+0tWF4//6Ye921MT8P67q1Er83cylAh+1sXNbj8UDXdVx//fVd5iKg93X32iFf7HTl/LVDus5J8WJi6de/Bk+c/sL/tLTi7ZazuGbQYADA2y1nMdSbjjOhdlwzaDC+FrUSPGwY1ir8eOV051Vj4+oAwLHmZrx/oQ0KAI+q4rrLBuOrXYx5hA0DL/z1tMOmnpTTr371K7z++uu4/PLL8cYbb0DXdezevbtH/Tz7PFRPy2pMerq1cr439CbHJoI9xxLimTNnDvbv34/W1lboui7M/yk5OR8MBrF8+XKcO3cOfr/fMZA7dmzHU4OnT5+2/s+OPR4PsrKyEtJ2DNypnriT859lJbblXb9+/axBz+5uzA8fPoy2tjbMnj0bQMd2z30ZMO1Ohw2c8tDqjsOHD0vRmj17NmbPni3FpqeeegqAHP+98MILUnT279/f5cqvyZMnc9G5/PLLoShK3CcFvV4vLr+886dpe8v48eO7fNJtfFSnva/0798f/fv3x7lz52J+NmjQIDz++ONcdJiWx+PBZ7annhkDBgxAZmYmN52BAweiubk55mfDhg1zvF4hUebNm4f9+/dLsSk9Pb3TcurJdk+90Ro1alTcicuxY8c6HjZLlAULFmDfvn3C6xSL87P/uKG388UvfpFrnD/22GNYtmyZcP/1798fl112Gf72t7/F/GzkyJFc47x///742te+hj/84Q8xP7v22msxZMgQbjpDhw7t1KYvfSn25r6vlJaWYtGiRcK1ust7vF7vwrSGDx+OQCAQ87OsrCwMHz6cm9aqVauwefPmmKfFH3roIW4PUADyYg8A5s6diz/+8Y84duxYzM++/e1vc3nQCuiwKTc3F1VVVTH+u/nmmzF48GAuOkDHTVwoFLIeALWzbNmymFdv9ZX+/fsjMzNTSrshs5yuvfZa/OY3v4n52fXXX48v9mBQvafccsstaG5uxquvvhrzs8LCQi4TYUCHTV/5ylfw5z//OSb2vva1r3F7wBQAbr31Vrz55pvS/NeZ72655RZuOv3798fEiROF28TqU2e5nOd7v2+77TZUV1dLqbtz5szBF77wBWzevBmAc7URz7ajf//+GDx4sJT7gP79+2PChAlSYqKrdoN3nH/hC1/otM88cuRIbjrTp0/HsWPHYmz69re/jblz53LRYTz88MNSxiVmz56NGTNmSNHhNX7U3fjbY489lrBOTxbHTB1/NaZ2s9V2V/Rm7FKWTQBQMP0GFEy/oVfXZvTWJiCxcb6e2nTr9dnA9T2+rANmU0+0Jl15BSb9Y2J8UjcT5J3pAD23a9KYy60V8pPGXI451/VOy67jTUvrdHJ+zrWxE7u90QF6btOEzFGYkNn9wwydaTls0rROJ+e/e92EXmvYdQCnTZ4utAAg7yu93wEnnk3d6diZd/XXeq0FdF93gY56y7ZJ379/v7B8NP6yy7pcHd8Vcf2nqnEnzb9x2WB847LBjmMROgBwYwJ91d6U06233opbb73VkWMvu+wyYWXVm63s7fQmxyaC3XeEeKL7l6L83/1+HZcYkUgEDzzwAE6fPo3nnnsuZiA3KysLV1xxBX75y186zldWVmLq1Km0/QNBcOTo0aO9Ot9XKioqenU+EWTZdODAgbjn4w10Jor9FQ52XnvtNa46+/bti3t+7969XHUAeTbJLKdnn3027vkdO3Zw15JVp/bv3x/3fE+eZO4tsvy3Z8+euOdfeuklrjpAxwrmePz0pz/lqiPTJllasnIEALz44otxz8ebnE2EGTNmxEzkDRs2DDfe2Pm7QPuKrNgD0OmrDB599FGuOqtWrYq7nWVRURFXHaBjtWr0jVv//v1x6623ctWR2W7IKqcf/vCHcc/zeF1NNEuXLo3ZxSAtLY3LFv12OnsgaNu2bVx1AHn+k+U7QJ5NsnI5ILfuymo7ZN4HyIoJme2GrD6zrFxOEARBEARBEETXpNzk/BNPPIH//M//xD333IPz58/jd7/7nfVhK15XrlyJiooKbNu2DW+88QbWrVuH3//+9/je976X5G9PEO5jxIgRXR7z4jvf+U6XxzyJ3pKO57Z7dhYtWtTlMU/mzZvX5TEvorcx72pb80SRZZPMclq9enWXxzyRVafs2/XHO+aJLP9F9ydE9i/Wrl3b5TEvZNokS0tWjgAQM1AvYuAeuLgTD2Pr1q1CdAB5sQd0vD+9q2NeRPtLpP+iJ2RLS0uF6MhsN2SV08aNG7s85kn0BLmICXMAeOSRR7o85oks/8nyHSDPJlm5HJBbd2W1HTLvA2TFhMx2Q1afWVYuJwiCIAiCIAiic1Jucv748eMAgB/96EcoKChwfJqamgAAeXl52LBhAyoqKnDXXXehrq4O27dvx3XX9XB/HIIgeszPf/7zLo95IXOwp6SkpMtjXsic9JU12HPbbbd1ecwTN07OT58+vctjnrD3+nZ2zAuZE6QzZsyw3tepqmqXr95IhPz8/C6PeXLDDTdYu/54vV7ccEPftmjsDpk2ydKS+WDIzTffbK2uUxQFN998sxCd4cOHW3lh+vTpXLfNj0ZW7AHAhAkTrO2VBw4ciAkTJgjRGTt2rKOc7K/A4k1WVpb1Opzx48cn/GqtzpCV9wB55ZSdnW3tPNCvXz9kZ2cL0QE63p/OXudy+eWXY9y43m/Z2ROmTp3a5TFPZPlPlu8AeTbJyuWA3Lorq+2QeR/wzW9+s8tjXlx99dXWzgNDhw7F1Vf3fQvw7pDVZ5aVywmCIAiCIAiC6JyUe+f8r371qx793m233Sb0ZpAgiIvw3vI9HmVlZVAUBaZpQlEU+P1+LF68WJieDJtk6sjUkqUjMybcaFNxcbHj+IknnsCWLVuEaMmM8+jX2ohCpk0iXuERD8pHifH6669L0elsS1oRyIo9oPPXiPAkentg0X0JkSss7cjKe4CccgI63tkqi+eee064hux+rCz/yfAdQ5ZNsnI5ILfuymo73NhnfuWVV4RcNx6y/CcrlxMEQRAEQRAEEZ+UWzlPEMTnj0AgAL/fD9M0AQCmacLv9yMQCCT5mxHJwo0xIdOmuro6nDp1ynHu7bffRl1dHXctgiCISwE3thtEakCxRxB8oTpFEL0jFA6jvZtPMBRCMBTq9vdC4XCyzSEIgiAEEzYMrp/PGxHT7NYnIV1HSNe7/J3IP/q6hHtJuZXzRHw0TYOmaaiursasWbOEaFRVVeHgwYPQNA26rgvRiIemaSgqKsKcOXOQm5vL9doybUqW/1Id0zSxfv16pKV1pCvmO9M0sX37dmzatMnafpL4fMDKHriY+3RdT+mYYN9dVVXLHlE2GYaBTZs2AbjoP0VREIlEsGnTJuzfv9/aZpUgCMINuLHdIFIDe+wxWAyuX78eO3bsoNgjiF5A94apicgxHaJ7HntW3i4nBEEQRGpi2iaCX/jraeEabmbvP169TRDdQaPvLkHTNKiqKnT70fLycjQ2NkLTNGEa8dA0DY2NjSgvL+d+bZk2Jct/qU59fT0CgQAURXH4Ttd11NbWor6+PonfjkgG9fX1qK2tha7rVu5jEy2pGhPMJkVRLHsAMXFeU1OD1tZWABfbDla/WltbUVNTw02LIAjiUsCN7QaRGthjj8EeigsEAhR7BNFL6N4wNRE5pkMQBEEQBEEQqQitnHcJbMAnLy9PmEZ+fj4OHjwo/YZX13WMGjUK+fn53K8t06Zk+S/VycrKQmZmJj7++OOYgc3rrrsOWVlZSfx2RDLIysrCpEmT8Oabb1oxwSZcUjUmmE1vvfUWgIs5XYRN2dnZyMjIQGtrq6WjKAp0XUdGRgays7O5aREEQVwKuLHdIFIDe+wZ/9jSUdd1KIqC0aNHU+wRRC+he8PUROSYDhEfn8+HQ4cO9eh3g8EgCgoKAAB+vx8+n6/HGgRBEIQ7sO88dOdVY+HhtKNm2DCslfhu3t1IdLtLba47oZXzLkHXdYRCIeTk5AjTyM3NRUlJifQt2XVdR0lJiZDtz2TalCz/pTqKomDt2rWIRCIO3ymKghUrVri6YSfiYy97lvvYQHeqxgT77qZpWvbYz/O0SVVVPProowAuth3t7e3QdR1r1qyhLe0JgnAdbmw3iNQgXoyxV9esXbuWYo8gegndG6YmIsd0iPgoioJ+/fr16GMf8Pf5fD3+O6pvBEEQ7sSjqlw/nwdEt7vU5rqTz0ftIAgipcnMzERBQYHVECmKgoKCAowaNSrJ34xIFm6MCZk2TZw4EePHj3ecu+aaazBhwgTuWgRBEJcCbmw3iNSAYo8g+EJ1iiAIgiAIgiCIVIcm5wmCSAkKCwsxYMAAAMCAAQOs7V9EsXv3btx0003YvXu3UB2ZyLJJlk5hYaH1tKHP5xMaExs3bsSMGTOwceNGYRpAh01DhgwBAAwZMkSoTcXFxY5BzXXr1gnTcmN9OnHiBBYuXIgTJ04k+6ukJG6MCSIxZNQp2X0JWcjMR5T7+obM9t2tyIo9WX0+wJ31SeZ9AMvnAwcOdE2dkhUT1A8jCIIgCIIgiORCk/MEQRBRtLS0oKysDIZhoKysDC0tLcn+SgkjyyaZvmtvb0cwGATQ8b6e9vZ2ITpNTU04duwYAODYsWNoamoSogN0PGSwcuVKDB8+HCtXrhT6TqH09HTHww3p6elCdNxYn4LBIEpLS9HU1ITS0lIrDome4caYIBKD6lTfkek7Kqe+I7N9dyOyYk9mn8+N9SlZ7btpmlJ0RCMrJqgfRhAEQRAEQRDJhybnCYJICcrKynD+/HkAwPnz5+H3+4VpFRcXwzAMAIBhGHjiiSeEaclClk0yfVdcXGwNxpmmKUzrgQcecByvWrVKiA5j6tSpePnllzF16lShOmVlZY6HG0TVKTfWp7KyMjQ3NwMAmpubheYjN+LGmCASQ1adktmXkIXMfES5LzFkte9uRFbsyezzubE+yWzfKZ/3HeqHEQRBEARBEETyocl5giAueQKBAPx+v2Mi1u/3IxAIcNeqq6vDqVOnHOfefvtt1NXVcdeShSybZPpOltbRo0dx5swZx7lPPvkER48e5aojG1l1yo31SWY+ciNujAkiMWTVKTfWXZk2udF/RGogK/Zk9vncWJ9ktu9u9B/1zQmCIAiCIMQSNgxuH4LgAU3OC8Lb+mcMPL0XGaf3YODpl5Fx+mVknN6DjNN74W39M1et6upqpKenIz09Hffddx/mzJmDzZs3c9UAgKqqKixduhTp6enwer3Ytm0bFi5ciEWLFqGqqoqbzubNmzF79mzMmzfP0ioqKuKqEQ9N04TpVFVVYfny5aiuroamafB6vaiuruauw6iurobX64WmacI0ZGGaJrZv3w4Alu80TbPO89zG0DAMbNq0ydJi8adpGjZt2mStMEglZNkUrcM0NE1DcXExKisruejYtZiOx+MRYpOu6ygpKbE07L7bunUrdF3noiMbWXXKHhN2rfT0dGzYsCEl65Pdd3YURUFRURHXOHcjhmFgw4YNMfUWQMrmWCIxZOWjeHWXtVHr169PyS2RZfaP2DVVVXXUWxFaBGFHVt3VdR1bt26N6cOmp6ejtLQUR44c4aIDuLM+ybwPqKysRFFREVTVOZSVyv4zTRPr169HWlqa4/5dRN+c9cOYDisvkX1z0eMfVVVVKCoqSsrYR3V1NZYvXy5kDImN6Xg8HqHjYcnwn8ixt2je+NOfseXgIbzxJ77jsAQfaj/4ED/7r2Oo/eBDqbpv1n+Enb8+jjfrP5KqSxAyeOdsC/a9/wHeOSvmtTV/PHcO+wMf44/nzgm5Pm/s/aiXP27Aix8FEv68/HFD3OsTRG+hyXlBeM++AxUGFAAqTCgwoQBQYMB79h2uWhUVFVAUBYqi4MyZM9B1HcePH+eqAQDl5eVobW2FoihQVRUnT55Ea2srWlpaUF5ezk3n+PHjME0ThmFYdjU2NnLViIemacJ0ysvL0dDQgIqKCmiaBlVVUVFRwV2HUVFRAVVVXTE5X19fj9raWui6bvlO0zTouo7a2lrU19dz06qpqUFrayuAjnhgsa5pGlpbW1FTU8NNSxaybIrWYRosBnluy8i0mA778LapsrLS8peqqg7f6bqeshOxsuqUPSaAi3GhKArC4XBK1ie77+woioJQKIQDBw4k6ZulBjU1NQiHwzH1FkDK5lgiMWTlo3h1l7WJgUCAa19CFjL7R0zL3g4CEKJFEHZk1d3KysqYusR0FEXBvn37uOgA7qxPMu8DDhw4gFAoBEVRHOdT2X/19fUIBAJQFMVx/y6ib876YfbJeVVVhfbNRY9/lJeXo7GxMSljHxUVFWhoaBAyhsTGdFRVFToelgz/iRx7i+b4O39E87lzOP7OH4VrEb3njffex6cXLuCN996XqlvzwQf49EIbaj74QKouQcjgrbNn0RoO462zZ4Vc/w+t59AaieAPrakxOU8QlzI0OS+I0OCrYUCFCcD4x9S8CcCEitDgq7lq5eXlwTRNmKaJoUOHQtM0TJs2jasGAOTn5yMjI8OaOJ8yZQoyMjIwaNAg5Ofnc9OZNm2aNVjB7BoxYgRXjXjoui5MJz8/HyNHjkReXh50XYdhGMjLy+Ouw8jLy4NhGCm7stdOVlYWJk2aBFVVLd+xwbPJkycjKyuLm1Z2djYyMjIAdMQDi3Vd15GRkYHs7GxuWrKQZVO0DtNgMVhQUMBFx67FdNiHt00zZ860/GUYhsN3mqZh5syZXHRkI6tO2WMCuBgXpmnC4/GkZH2y+86OaZrwer2YO3dukr5ZapCdnQ2PxxNTbwGkbI4lEkNWPopXd1mbOHr0aK59CVnI7B8xreh6K0KLIOzIqrszZ860Hm6x92HZvei8efO46ADurE8y7wPmzp0Lr9cbs8o7lf2XlZWFzMxMmKYZ8yAK774564cxHVZeIvvmosc/8vPzMWLEiKSMfeTl5WHkyJFCxpDYmI5hGELHw5LhP5Fjb9FMu/rrGDJwIKZd/XXhWkTvuf7KK3BZ//64/sorpOpmjxmDy/r3Q/aYMVJ1CUIG1w4ejAyPB9cOHizk+t/IGIiMtDR8I2OgkOvzxv5A58JRI3HH6MyEPwtHjYx7fYLoLTQ5L4hQxldwbuwCtI5dhHNjF6J17EK0jl2E1rELEMr4CletnJwctLe3o729HU8//TQOHjyI1atXc9UAgNzcXOzatQvt7e0IhUK4//778fLLL2PPnj3Izc3lprN69WocOnQI+/bts7RKSkq4asSDbWEtQic3Nxc7d+5ETk4OdF1HKBRCTk4Odx1GTk4OQqGQKybnFUXBihUroCiK5Ttd1x3neaGqKh599FEAHfHA4k/XdaxZsyZmQi4VkGVTtA7T0HUd69ev5zqRzbSYTjgcFmIT226Padh9t3r16pTdmUJWnbLHBHAxLtrb27Fu3bqUrE+d+cg0TWzbti1lH9iQhaqqePzxx2PqLYCUzbFEYsjKR/Gux9qotWvXpuQNtcz+EbumaZqOeitCiyDsyKq7mqZh1apVMX3Y9vZ2PPDAA7j55pu56ADurE8y7wNmzpyJkpKSmC1EU9l/iqJg7dq1iEQijvt3EX1z1g+zT86HQiGhfXPR4x+5ubkoKSlJythHTk4Odu7cKWQMiY3phMNhoeNhyfAfj7G3UCSC9nC4y08wFMK1V16B+/JmYsLYKzv9vVAkwtE6ojdMGnM5vvft6Zg05nKputdljcbyG6bhuqzRUnUJQgZXDx6EeVeMwdWDBwm5/tcHDsTtmaPw9YGpMTlvx6Oq3D4EwQOKJIIgEmb37t246aabsHv3biHXz8zMREFBgTUwoSgKCgoKMGrUKO5aEydOxPjx4x3nrrnmGkyYMIG7lixk2STTd7K0ZsyYgaFDhzrODRs2DDfeeCNXHdmwOmVHRJ1yY32S5Ts7J06cwMKFC3HixAlhGrJ0ZMeELN+5FRn+k9XGy+xLMNzUP5LtP6q7BENW7Mns8yUjH4lGZvvuRv9R35wgekfxnr149MWXuvw8tvvneGz3z7v9veI9e5NtDkEQBEEQn0Nocp4giIRoaWlBWVkZDMNAWVkZWlpahOgUFhZiyJAhAIAhQ4Zw3R4xmuLiYmvlgKqqWLdunTAtWTzyyCOO44cffliIjkzfybLpqaeechxv3bpViI5s5syZ4ygrUdsKyionmUSvABO5s0swGERpaSmamppQWlqKYDCY0jqAvDwh0yY3ItN/stp4mX0JN/aPZGlR3SWikRV7Mvt8MuuuLGTeB7jRf7L65m681yUIgiAIgiCIVIMm5wmCSIji4mLrnX+GYeCJJ54QouPz+bBy5UoMHz4cK1euhM/nE6IDAIMGDUJhYSFUVUVhYSEGDRKzFZBMKisrHcdVVVVCdGT6TpZNw4cPx/Tp0wEA06dPx/Dhw4XoyObgwYPWlqCmaaK8vFyIjqxyksmTTz7pOP7Rj34kTKusrAzNzc0AgObmZvj9/pTWAeTlCZk2uRGZ/pPVxsvsS7ixfyRLi+ouEY2s2JPZ55NZd2Uh8z7Ajf6T1Td3470u8fnA5/Ph0KFDPfrY+w5+v7/Hf+eGXEIQBEEQRGqQluwvQBBE6lJXV4dTp045zr399tuoq6vDxIkTuetNnToVU6dO5X7deCxZsgRLliyRoiWaQCAQM7Dt9/vxL//yL8jMzOSuJ8N3sm1as2YN92smE+Y/+wCgCP/JLicZyMx7sstJtI4d0XkiGTa5iWT4T1YbL0PHzf0j0VpUd4nOkBXnMvt8MuuuLGTeQ7nJf7Jzn5vudYnPD4qioF+/fr3+O5/P16e/IwiC6AnhfzyQ3RWsfWev5EnkWgRBuAdaOS8Ib+ufMfC9fcg4vQcZp/di4Pv74W39c7K/VspQVVWFoqIiaJqW7K8iBE3TUFRUlNIrSCsrK1FcXAyPxwOv1+soq02bNlmrxYjkYpomtm/f7jinaRo0TcP69eutDmIqYbdJ0zQr/tj5VLRJJtExwXyoKApX/zEdVVUdOSKVy8kwDGzYsMGyxx5/vPOeaZpYv3490tLSHPmVt/9k6cjEjTbJhHJsYrA8kZ6eTv2jXuLGdoMgCKI7ZPXNCX6wMqqurk72VyEuMaqrq7F8+XLuY32/+etpbPvl6/jNX09zvW40te+9j6er/y9q33tfqE4yeLP+I+z89XG8Wf9Rsr8KF95qaMTzv63DWw2Nyf4qn3t2vn0K23//hy4/T//hbTz9h7e7/b2db5/qXpAgCNdAk/OC8J59B6oZgQJAgQHVaIf37DvJ/lopQ3l5ORobG109Od/Y2ChsqzoZsNWwqqpCVVVHWbW2tqKmpiZZX42wUV9fj9raWui6bp3TNA2KoiAQCKC+vj6J365v2G3SNM2KP13XUVtbm5I2ySQ6JpgPFUXh6j+moyiKI0ekcjnV1NQgHA5b9tjjj3feq6+vRyAQgKIojvzK23+ydGTiRptkQjk2MVieiM59APWPusON7QZBEER3yOqbE/xgZVRRUZHsr0JcYlRUVKChoYH7WN+Jv/wFfz//GU785S9crxvNyXf/ir9/9hlOvvtXoTrJoOaDD/DphTbUfPBBsr8KF34b+Bhng0H8NvBxsr8KQRAE0UdoW3tBhAZfjfTmWihmBIAKU/UgNPjqZH+tlCE/Px8HDx507Y2orusYNWoU8vPzk/1V+kxBQQF27NgBwzCgKIpj8jcjIwPZ2dlJ/HYEIysrC5MmTcKbb75prdbTdR2KomD06NHIyspK8jfsPXabWNyxSaTrrrsuJW2SSXRMMB+aponJkydz8x/TeeuttwDAMeCYquWUnZ0Nj8eDcDjsyHm6rnPPe1lZWcjMzMTHH38c83ANT//J0pGJG22SCeXYxGB5IhKJwDRN6h/1Aje2GwRBEN0hq29O8IOVUV5eXpK/CXGpkZeXhyNHjnAf65v65S/jxF/+gqlf/jLX60YzZdxVOPnuXzFl3FVCdZJB9pgxqPngA2SPGZPsr8KFyZmj8NvAx5icOSrZX+Vzic/nw6FDh3r0u8FgEAUFBQA6Frr5fL4eaxAE4W5o5bwgQhlfwbkr56F17CK0jl2Ac1fcjlDGV5L9tVKG3NxclJSUOAY03YSu6ygpKUFubm6yv0qfmTlzJoqLixEOhxEKhRxltWbNGqgqpZdLAUVRsGLFCsd7jXRdh67rWLt2bbfvO7oUsduk67oVf/FsJWKJ9hPzoWmaXP3HdEzTdOSIVC4nVVXx+OOPW/bY44933lMUBWvXrkUkEnHkV97+k6UjEzfaJBPKsYnB8kR7ezv1j3qJG9sNgiCI7pDVNyf4wcooJycn2V+FuMTIycnBzp07uY/1feuqsbj/pn/Ft64ay/W60Uy68grcl3MjJl15hVCdZHBd1mgsv2EarssaneyvwoVrR47AXZMn4tqRI5L9VT6XKIqCfv369ehjn2T3+Xw9/jtq/wnC/dDoEEEQfWbixIkYP36849w111yDCRMmJOcLEXHJzMxEQUGB1bFTFAUFBQUYNSp1n7B1o00ykeU/N5aTzLxH5dR33GiTTMh/iUH9o75DsUcQxOcRyn0EQRAEQRAE8fmCJucJgkiI4uJix/G6deuEaa1atQozZszAqlWrhGkwNm7ciBkzZmDjxo1CdU6cOIGFCxfixIkTQnUKCwtjBntEIdMmj8cDAPB4PEJt2r17N2666Sbs3r1bmAZDVuwVFhZaT/D269dPmP8KCwsxZMgQAMCQIUOElhMA3H333ZgxYwbuvvtuYRrFxcWO+iQy79nLyefzCS2nAQMGAAAGDhwovJxk1CnZsScr98nKR7JyBEOWXbLKqbi42Folr6qq0DwhyyZAThsls30H5PlPZjnJ7Le4DbeWkywtsqnvyMx9MvrLBEEQBEEQBEF0Dk3OEwSREtTX1+PUqVMAgFOnTqG+vl6YVlNTE44dOwYAOHbsGJqamoToBINBlJaWoqmpCaWlpQgGg0J0AOCjjz6y3jlvGAY++ugjIToybWptbUUoFAIAhEIhtLa2CtFpaWlBWVkZDMNAWVkZWlpahOgA8mIPANrb263yaWtrQ3t7uxAdn8+HlStXYvjw4Vi5cqXQ92a9++67+PDDDwEAH374Id59910hOunp6Y4J8/T0dCE6gLOcgsGgsHKyY5qm0OvLqlMyY09W7pOZj2TlCECeXTLbqEGDBqGwsBCqqqKwsBCDBg0SoiPTJlltlKz2HZDnP5nlJDNPuA23lpMsLbIpMWTlPln9ZYIgCIIgCIIgOocm5wmCSIjolfNPPPGEEJ0VK1Y4jleuXClEBwAeeOABx7GolfplZWVobm4GADQ3N8Pv9wvRAYD777+/y2NeyLRJVjkVFxc7HmwQFeOAPJuADrvYJKxpmkLtmjp1Kl5++WVMnTpVmAYgN87tE+Yi41xWOZWVleH8+fMAgPPnzwu3SVadkhV7snKfTN/JzBGy7JLZRgHAkiVL8Mtf/hJLliwRpuHGdldmWyjLfzLLSWaecBtuLSdZWmRTYsjKfbL6ywRBEARBEARBdA5NzhME0Wfq6uqs1eyMt99+G3V1dVx1/H4/2traHOcuXLggZMDs6NGjOHPmjOPcJ598gqNHj3LVCQQC8Pv9jokPv9+PQCDAVQcAdu3ahUgk4jgXiUSwa9curjoybZJVTrJiHJBnEyDXLlm4Mc5llZMbbZKJLP/J9J0btWTGuSzc2O7KbAtl+Y9ybGrg1nKSpUU2JYas3Cerv0wQBEEQBEEQRNfQ5LwgBr5XhozTe2I+A98r46pz1113oaCgAOnp6UhPT0dBQQFmzZqF/Px8bN68mavWgw8+GFfrrrvu4qpTVVWF5cuX47777kN6ejq8Xq+lxdumqqoqFBUVwev1OmzircO0Fi9e7LCJt++YztKlS61yWrRoEebMmcPdJsMwsGnTJmiaBq/XC03TrP9v2LDBWmGQKJFIBM8//7x1bea/9PR0/PznP48ZXEgEXdexbds2S8PO1q1boes6Fx3TNLF9+3bHOea/9evXc91SOhwO49VXX4WmaVZMMPtee+01hMNhLjoybdJ1HVu3bnXYxN7PyLOcDMPAhg0bLH9pmmb9bNOmTdxiHOiwqaSkBF6vFx6Px4pxTdO42gQAlZWVKC4utq5vh7ddsqioqMChQ4cceYj58NChQ9zjXFVVR0yw8zzjnOVYhsfjsWKdZznJrLuy2g2ZVFZWoqioyHq3OIN3TNjjwR4LAP96y3KfPR+xWBehZY8Je14SGedMT1EU7nVXFjLz0ZEjR1BaWmppsPbX6/WipKSEWxtlbwtZ+840ebeFpmli/fr1SEtLc7SFvP0nSwdw5gkW46wOp2qOlYXs9p3lWHs7qGmasBzLENWXSIZN0W0hwLfdiLYJgLA+S7z7APYvzxxrvy+051mv14tDhw6hoqKCi46d6upqy4fbtm0TMi7BxnSYzx555BHk5+fj9ttvR1VVFVct4KJNHo8HRUVFQjTsOtH3ayK10tPTsWDBAsyePVvImBhwsQ8xb948YRqAvHJi8SejnH7xRg2Kf/Eain/xGn5Yfgi/+etp7hq1772Pp6v/L577r2P44aH/wGu/qeWuEaP5wYf42X8dQ+0HHwrTeLP+I+z89XEc/v0fsPPXx/FmvZjXPDL+49Q7+Ol//j/89D//H/7j1Dvcr/9WQyOe/20d3mpo5H5tQizV1dVYvny5sJxE8OFPbW042Px3/ClqoSBB8IYm5wWhmGEoQOzH5DNBwPjkk0869BQFiqJY5w3DwPHjx7lqsXeRRWux78CL8vJyNDQ04MyZMzFavG0qLy9HY2OjcB2mFQwGHVq8fcd0WltbLZ1QKARd17nbVFNTg9bWVmiaBlVVrYEYVVURDodRU1PDRWfv3r0AYF2b2aUoClRVtX7Og8rKSsf17ei6jsrKSi469fX1qK2tdQy0aJoGRVEQCARQX1/PRQcAnnnmGcf17b7TNM36eaLItKmyshK6rjtsYhNjPMuppqYG4XDY4S9Ga2srtxgHLsaeqqrWR1EUaJrG1SYA1o4T7Pp2eNsliz179sTkIXu8847z6JjQdR21tbVc45zlWAazSVVVruUks+7KajdkcuDAAYRCobhtBs+YsMeDPRYA/vWW5T57PmKxLkLLHhP2vCQyzu16vOuuLGTmo3379jnKhuUI5kNebZS9LWT5224Xz7awvr4egUAgpi3k7T9ZOoAzT7AYZ59UzbGykN2+sxxrbwc1TROWYxmi+hLJsCm6LQT4thvRNgEQ1meJdx9gvx/glfvs94Xx7qv37NnDRcdORUWF5cOTJ08KGZdgYzrMZ6dPn4ZhGAgGgygvL+eqBVy0SVVVNDY2CtGw68iY9GVaiqIgEonANE0hY2LAxT6EiDFLO7LKicWfjHJ656OLO7mEIzpO/OUv3DVOvvtX/P2zz9Bw9iwM08QfP/6Yu0Y0b7z3Pj69cAFvvPe+MI2aDz7Apxfa8D9/a8KnF9pQ88EHwrQA4M+fnIn7f178NvAxzgaD+G1AfPkQfKmoqEBDQ4OwnETw4Z0LbTin63jnAk3OE2KhyXlBmIoHJhD7UTxd/l1vGTZsWIeeaTqe6FdVFdOmTeOqNW7cuLha7DvwIj8/HyNHjsTQoUNjtHjblJ+fjxEjRgjXYVo+n8+hxdt3TCcjI8PSYU9b87YpOzsbGRkZ0HUdhmFA13Xr/x6PB9nZ2Vx0FixYAADWtZldpmnCMAzr5zyYOXOm4/p2NE3DzJkzuehkZWVh0qRJjsEkXddhmiZGjx6NrKwsLjoAcO+99zqub/edruvWzxNFpk0zZ860Jq3t9gB8yyk7Oxsej8fhL0ZGRga3GAcuxp5hGNbHNE3rIQReNgFAQUEBAFjXt8PbLlksWrQoJg/Z4513nLMysk/0TZ48mWucsxzLYDYZhsG1nGTWXVnthkzmzp0Lr9cbs4KOd0zY48EeCwD/estynz0fsVgXoWWPCXteEhnndj3edVcWMvPRvHnzHGXDcgTzIa82yt4Wsvxtt4tnW5iVlYXMzMyYtpC3/2TpAM48wWKcfVI1x8pCdvvOcqy9HdR1XViOZYjqSyTDpui2EODbbkTbBEBYnyXefYD9foBX7rPfF8a7r160aBEXHTt5eXmWD6dMmSJkXIKN6TCfjR07FqqqwufzIT8/n6sWcNEmwzAwYsQIIRp2HZ67xnSnZZom0tLSoCiKkDEx4GIfQsSYpR1Z5cTiT0Y5XT060/q/J03D1C9/mbvGlHFX4Ytf+AJGDh4MVVHw9VGjuGtEc/2VV+Cy/v1x/ZVXCNPIHjMGl/Xvh699aTgu698P2WPGCNMCgK8MGxr3/7yYnDkKg30+TM4UXz4EX/Ly8jBy5EhhOYngw9X9+2GgpuHq/v2S/VUIl0OT84I4d2UhWscuivmcu7KQq87zzz8Pv9+P9vZ2tLe3w+/34/DhwygvL8fq1au5am3ZsiWu1vPPP89VJzc3Fzt37sTTTz+N9vZ2hEIhS4u3Tbm5uSgpKUEoFHLYxFuHab300ksOm3j7juns2rXLKqc9e/bg4MGD3G1SVRWPPvoodF23Vuez/69bty5mi9++kpaWhrvuusu6NvNfe3s77rjjDqSlpXHRAToG4O6//35Lw87q1au5PQ2tKApWrFjhWGnJ/Ld27dqYFZiJ4PF4cNttt0HXdSsmmH233XabYyvIRJBpk6ZpWLVqlcMmtm05z3JSVRWPP/645S/7DfeaNWu4xTjQYVNRURFCoRDC4bAV47quc7UJ6BgALC4utq5vh7ddssjLy8Ps2bMdeYj58JZbbuEe56ZpOmIiXvwnCsuxjHA4bMU6z3KSWXdltRsymTlzJkpKSmIe6OIdE/Z4sMcCwL/estxnz0cs1kVo2WPCnpdExjnTM02Te92Vhcx8dPPNN2PlypWOCSrWNj744IPc2ih7W8jad6bJuy1UFAVr165FJBJxtIW8/SdLB3DmCRbjrA6nao6Vhez2neVYezuo67qwHMsQ1ZdIhk3RbSHAt92ItgmAsD5LvPsA9i/PHGu/L7Tn2VAohFtuuQV5eXlcdOzk5ORYPrz//vuFjEuwMR3msyeffBLl5eXYv38/cnNzuWoBF20Kh8MoKSkRomHXkTHpy7Ta29uxd+9eHDp0SMiYGHCxD7Fv3z5hGoC8cmLxJ6Ocbr0+G8W33oLiW2/BY/mz8a2rxnLXmHTlFbgv50bc/e3peGz2d3DLtyZx14jRHHM5vvft6Zg05nJhGtdljcbyG6Zh1je/geU3TMN1WaOFaQHAd8ZfjR/873/CD/73P+E746/mfv1rR47AXZMn4tqRI7hfmxBLTk4Odu7cKSwnEXz4ar9+mDPki/hqP5qcJ8RCd+gEQfSZiRMnYvz48Y5z11xzDSZMmMBVp6CgAP2iGsT+/fvj1ltv5aoDADNmzMDQoc4nW4cNG4Ybb7yRq05mZqa1gplRUFCAUQKeTF66dGnMQwxpaWm48847uerItElWOcmKcUCeTYBcuwDg7rvvxowZM3D33XcLuT7gzjiXVU5utIkhI/Zk+U+m79yoJTPOGRs3bsSMGTOwceNGIddnNrGJQ0VRUr7dldkWyooJmeUkO8eeOHECCxcuxIkTJ4Rc386qVaswY8YMrFq1Ssj13doWytIimxJDVu6T1V8mCIIgCIIgCKJraHKeIIiE+Kd/+ifH8fTp04XoLFu2zHG8dOlSIToAYrbKnz9/vhCd6O0Qv/WtbwnRAYAHHnigy2NeRG+7KPJp0GgbioqKhOg8+OCDjmNRg8IAsH79esfxE088IUxLll3vvvsuPvzwQwDAhx9+iHfffVeIDgAUFxd3ecwLmXF+3333OY6/973vCdGRmY+i87eoiXOZsXfDDTc4jkVt07l48WLH8Xe/+10hOoC82JOpJaucAKCpqQnHjh0DABw7dgxNTU1CdObMmeOY9BW5ReKaNWscx4899pgQnR//+MeO4x/96EdCdAB5uU9mOT3yyCOO44cffliITjAYRGlpKZqamlBaWopgMChEB+h4J/ypU6cAAKdOneL6Dng7Mtt3mf1LWVoy2w1ZNs2bN89xXFjIdydEO7Jy36ZNm7o8JgiCIAiCIAhCPDQ5TxBEQvzsZz/r8pgXJSUlXR6nolb0Nm4it3X793//9y6PefHkk086jkUOqMuaiN2yZYvjeOvWrUJ0AODpp592HIuqT4A8u+6///4uj3ny1FNPOY5F1V2Zcb527VrH8bp164ToyMxH0RNH9i13eSIz9r7//e87jkX5L9pXonwHyIs9mVqyygmIfYBM1MTRwYMHrXcuG4aB8vJyIToAYnYA+OEPfyhE5//+3//rOP7Vr34lRAeQl/tkllNlZaXjuKqqSohOWVkZmpubAQDNzc3w+/1CdABgxYoVjuOVK1cK0ZHZvsvsX8rSktluyLLp8ccf7/KYJ7Jy30svveQ4/vnPfy5EhyAIgiAIgiCIzqHJ+UQwIoAR7vqjhzo+3f2eEUm2NQRnTNNEW1ub42NfURIMBh0/i35fbSJaonSiiV7N3t35vtLZyiwRK7aiB+67O99Xdu3ahUjEWe8jkQh27drFVQfoGKyKLnfTNLkPYtXV1Vmrmhhvv/026urquOoA8vwn0yY3asmM86NHj+LMmTOOc5988gmOHj3KVUdmOcmySWY5+f1+tLW1Oc5duHCB+6QO2ZQYsmJPppascgLk2RQIBGK+v9/vRyAQ4KoDuNMmWXVKpk2ytJgO61+apinMJll11439MJlaMtsNWTbJuocC5NVdkb6TOf5BEG4kFIl0+2kPh9EeDvfody8VQhGdk016sk2xCOt8bArrl45NBEEQhHwUk3rEvaKtrQ2zZ8/u8ne8Xq+1bWE0pmkiFAp1+feHDh2Keb92Z9x2221ob2+3bmzsuqqqcluVUVVVhR07dsA0zRittLQ0vPbaa1x0gI4t6tjWs9FaAwYMwCuvvMJFp6qqyhqU461jmiZWrVqFd955B0DXMWEYBsLhMMaPH48tW7Z0+nuJarHY66tONHfeeSc++eQTxznDMKAoCnRdxy9+8Qt84QtfSEgD6LiJnzVrFjweD1TV+TxRJBLBwYMH4fP5EtYBLtrE4tyuF4lE8Nprr/W4bnZFOBzGrFmzoGkaTNN0bHMKAMuXL0deXl7COgAQCoUwe/ZsaJoGRVEcepFIBIcOHYLX601YxzAM3H777fjss88srUgkAl3XkZGRgf3798eUX18Jh8O4+eaboWkaNE0DAMs2Xddx+PBheDyehHWYTa2trZaW/o+bJ4/Hg3vuuSdm+9NEtZj/mI6mafB4PDhw4AA3/9ntYrD6paoqDh48yEWroqICO3fudMScPUfwKicA0HUds2bNcsQ4i0H2XVisJEK8mGB6vMvJbpOu61b5GIYBwzC42cTqE2s7WD1icciznCKRCGbOnBlTd9nP/uM//iPmPah9geXYtLQ0q3wikYjlw//1v/4X/u3f/i1hHeCiTawO2fsTImxiMce0FEWxVuGKqE8ALI1wOAxN07jFHtNi7R0rL2aXaZo4fPgwF61IJILvfOc7jraQ6ei6zq2cAKdN9jjnXXdN08Sjjz6K3//+95YdrO5OmDABmzZtSrivx7DHBLOFaQL8cqxMm6L7Evb2IxKJcMt9zKbf/e53jrY9LS0No0aNwo4dO7jZJMt/dpsAOPotvMuJ1V17/WTtlK7rqKys5FJ3k9EPk9FnlmXXkSNHsGPHDgDO8mFaPNsNwzAwd+5chMNhh+8AcPUfu4ey9yUYPO+hgA6f3XPPPfj4448d9vCuuyLjIXpMgsHynb1tZ/HBa1yCjR+Zpmnds//Xf/0XysvLkZ+fz/X1FFVVVdi7dy9aWlpgmibS0tKgqir69++PBQsWcNU6fPgwnn32Wei6jnvvvRf79++HoiiYP3++MJt4jnnE0zl48CACgQBUVbU00tPTudpUVVWFV155BaZporm5Gbqu92qMtS+wcWJN05CVlYU5c+b02J6ejDEzovss9lzbFcx+u9a6W2+Bt5v2s/a993Hy3b9iyrirMOnKK+L+TigSwRO/eM2h0xu7WI6wY8+DvbHp0Zk3dWrT4d//Af/ztyZ87UvDMeub3+jy2qFIBJsqf5mQTSzH9qR8urLpB//7n+Dtov18q6ERxz/8EDCBaWMux7UjR8S3Sdfx0//8f13a9OAN/78utQDg939rQl1DIyaOHIFvfml4p1pbfv3fndr0wJTsLnV+efp9vHv2LMYNHozMgQNQ97cmTPzScHxj2NC4Wk+drImxqyfYv5OsHNFXLfvff2/81fB00la/c7YFv2luBhQF3/riF3H14EGdXjNsGPjZqXcc38mus/zL4zrV6S1hw8DOv7zr0OoNPP13x+jMuHb9qa0N71xow9X9++GrPbh+2DDw4kcBLt9JdPwRfaetrQ233HIL0tLSMGjQIO59PYBWzguBDVx19uFJe3u7Q9MO2zqRB+Xl5Y4B5+ibU57Y3wkbrXX+/HluOuXl5dZ3F6Fjv15X8cBj8KCnWjw5c+ZMXFtUVYWmadzeMci2P1ZVNUZP07SY7ZETwW5TtJ6madxWzz/zzDPQNM3yV7TWnj17uOgAwE9/+lNLK57/fvrTn3LRqampsSYsmRYbhGttbUVNTQ0XHaDDfwBi7GKxx36eKMwmu5Z9UpHniq1o/zEdVVURDoe5+s9uF4P50TAMblp79uyJqUv2HMGrnICOLXzt17fHIBu850G8mGAf3uVkt8ke66qqcrWJlUN0bhBRTnv37gUQW3eZJvt5orAca48/u+bx48e56AAXbYqOc1E22ePb/q+o+hTdV+EZe0yLTR7Gq8O8tPbu3RtTj+z5iFc5AU6bon3I03/19fWora115Amgo4xqa2u5vpM7OibsvktVm+L1Jex1l1edYjbZB2dZvAcCAa42yfKf3SZ7eyGinFjdjb7fYLbxqrvJ6IfJ6DPLsmvfvn1xywfg327U1NQgHA7H+A7g6z92D9XZfSGveyigo04FAoEYe3jXKdHxEG+8IdqH0fHBAzZ+ZPdfeXk5GhoauL9CpLy8HK2trVYsGIaBSCSC1tZW7loVFRWWvyoqKtDa2oqWlhahNvEum2idxsZGKxaCwSCCwSB3m8rLy9HS0mLFukw0TUNjY6OwV9dE91lE23fy3b/i7599hpPv/lWYRnQbLyoO/+dvTTBME//ztybu147GnmNF89vAx2gLR9AWieC3gY+F69U1NOJsezvqGhqFabx79iwM08S7Z8+i7m9NaGlvR52EcnMDb509i6BhIKjreOvs2WR/nZTinQttOKfreOdCW/e/THyuYO2UiL4eAPBZIvI5wufz4dChQ13+zn333Wdt6Ra9Ijs9PR379+/vVqOnpKend7lynhf5+fldrpznybhx47pcOc+L/Pz8LlfOJ4KiKNiyZYu1jdudd96Jzz77LO7v3nDDDbj//vvh8/n6NIEerfXII4/g9OnTMb83bNgwPP30033WiWbo0KFdrpzn9a7sJ598ErNmzYJhGDExret6zLshE4HZFG/lvK7r3N7Tfu+991rv/4xeiQEAixYt4qIDAD/4wQ+sp/EURXFsH6jrOn7wgx9w0cnOzkZGRoYV5ywOgI5VLNnZ2Vx0gA7/VVRUxDyFzJ4ev/fee7noMJtaW1stLfavqqooKCjgomPXYv6z2+bxeLj6z24Xg9UvVVW5aS1atKjLlfO8ygkAZs6ciR07dsAwDMfKeTZxwGuHg3gxYV85z7Oc7DZFr5znaROrT/atie3xzrOcFixYgL1798ZdQaDrOhYsWMBFh+VYlvNYLDAf3nDDDVx0gIs2sToUvSKbt00A4q6cF1WfGOz/PGOPaf3sZz+DrutWedlX1/HSWrBgAcrKygAgRodnOQFOm+zwrrtZWVmYNGkS3nrrLQAX2w1N03DdddchKyuLiw7gjAkWcyJyrEybovsS0fmCV51iNr355ptWPWLxPnr0aK42yfKf3SZ7eyGinFjdtfeV7e0Ur7qbjH6YjD6zLLvmzZsXs3KewbvdyM7OhsfjsVbO27V4+o/dQ9lzA4PnPRTQUacyMzPx8ccfx/iOZ50SGQ/RYxKM6upq7N+/39o90uv14vbbb0dOTg63cQk2fmSPvfz8fGvlPE/y8/MdK+fZJFz//v25a+Xl5Vkr5/Py8qyV8yJt6s0q377odLZynqdN+fn5jpXzMtF1HaNGjeqVPT0ZY2ZUVlbixRdfhKIoyMjIQEFBAXJycnqk0RemjLvKWjnfW3pqV2VlJXbv3g2gI+cNGDDAyhHdXb83fO1Lw62V832lNza9+OKL0HUdfr+/x9+1L+U0OXOUtXJ+cuaoXv99b5k4coS1cl4U4wYPjrtynuieawcPtlbOXzt4cLK/Tkpxdf9+1sp5grDD7t0HDRrEvQ8G0OR8r1EUpdutJl544QUAcraoePXVV6Xo5ObmIjc3V4rWli1bAIj3n2ib7LGyb98+LtfsidZTTz0lVIvxwgsvYNmyZXj//fdjfjZ27FguW9oDHR3Ub33rW/jNb34T87Prr7+e25b2QIdN3//+9/GHP/wh5mfXXnstt9jweDy45ZZb8Oqrr8b8rLCwkNuW9kDHAMiMGTOsSR07bCtrHqiqikcffRQPP/xwzE39mjVruD4s5PF4cNttt+HVV1+N0SosLOS2tXO0TXatJ598EhMmTOCiE0+Loes6Nm7cyNV/di1GOBwGAPzkJz/hppWXl4eGhoZO45xXOQEdN/JFRUXYvHlzzM8eeughbk+tdxUTvMsp2ia7Fk+b7PXJjq7r3MspLS0Nd911F55//vmYurts2TJuD/t1lmOZTXfeeScXHcBpUzQybALk1qfVq1dzXQWiaRpWrVqFzZs3x8QEzzhPS0vDkiVLhJcTIM8mRVGwYsUK3H333Y5XZrHzPCY8GLJyrEybZPUl7DYx2A3+2rVrudoky392HXtbmJaWxr2cZNXdZPXDRPeZZdl18803w+PxSGk3VFXF448/7ujHMnj6T9Y9FAArH7A6ZT/Ps06Jjod4Y2WzZs3CrFmzErpud2zZsiVmu2k21sOb3NxcfPvb37a0Xn31VWFb0ebk5GD79u3W/0X5MdomUUTr7N+/X9rYpSx0XUdJSUmv7OrJGDNj5syZ2LlzJwDgueeeE74N8qQrr+h0O/vu6KlddptEbu0865vfQKI1qC82+Xw+oeV07cgRnW5lL4Jvfml4p9vZ8+KmsVc4juNtZ0/E5+rBg7rcyp7onK/269l29sTnD3a/u2vXLiH5nLa1Jwiizzz77LNxz7OVE7z44Q9/GPf8hg0buOoA6HR1PM+tCwFg6dKlMQOKaWlpXCeNGKtWrYoZ1FEUBUVFRVx1Jk6ciPHjxzvOXXPNNVwnsRmy/CfTJjdqyYzzGTNmYOhQ543bsGHDcOONN3LVkVlOsmySWU4FBQUxHdr+/fvj1ltv5apDNiWGrNiTqSWrnAB5NmVmZqKgoMBq4xVFQUFBAUaN4r9yxo02yapTMm2SpSXTJll11439MJlaMtsNWTbJuocC5NUpmbFHEARBEARBEETn0OQ8QbiUEydOYOHChThx4oRQndWrV3d5zIuNGzd2ecyTtWvXdnnMi23btnV5zJOtW7d2ecyL4uJix6DSunXrhOgA8vxXXFxsrSRRVVWoTbK1ZJSVzDiP3jlEZJzLKidZNsksJ7YKiFFaWipEh2xKDFmxJ1NLVjkB8mwqLCy0Xsc0YMAArq9ciUamTUOGDAEADBkyRKhNsuqUTJvsMTFw4EBhWjJtklV3qc+XGDLbDVk2ybqHAuTVKZmxB8gblyAIgiAIgiCIVIIm5wnChQSDQZSWlqKpqQmlpaUx737jyfTp07s85kV2dra1aqZfv35c38cYzQ033GBtVej1erm+n9jOuHHjcPnllwMALr/8cowbN06IDgBcffXV1mqWoUOH4uqrrxaik56ebr1qwOfzIT09XYgOAIwePdraJlPTNIwePVqIzqBBg1BYWAhVVVFYWIhBg8RtEyVTS1ZZjR492jEAKKqcAGD48OFWDpo+fTqGDxez5ZrMcpJlk8x8lJWVZa3aGj9+PNf3E9shmxJDVuzJ1Bo2bJi1UjotLQ3Dhg0TogPI9Z8sZNnk8/mwcuVKDB8+HCtXruT6CqNoZNUpmTbZMU1T2LVl2iQrx1KfLzFk5j1ZNsm6hwLk1SmZsSdzXIIgCIIgCKIrIqaJsGF0+gnpOkK63uXvhA0DEYH3WMTnC3rnPEG4kLKyMjQ3NwMAmpub4ff7sXjxYmFaiqLANE0oiiJU69ChQ0KuG4+KigopOs8995wUHQB45ZVXhGuUlZVZgy7BYFB47BmGAQAwDEOo1pIlS7BkyRIh106WlqyyKisrsyYHTNMUWk5Ax/tGZSAzJmTZJDMfiVx5ZodsSgxZsSdLq6yszHrPrq7rrshHZWVlOH/+PADg/PnzrrAJAKZOnYqpU6dK0ZJVp2TZJDMmZJaTrBxLfb7EkJUjZNok4x6KIatOyYw9WeMSBEEQBEEQXbEn8HGyvwJBOKCV8wThMgKBAPx+f8xkWCAQSGkt4tKHYi91kOU/KieCIC4V3JiP3GgTkRgUE0Q0bowJN9rkRqicCIIgCIIgCKJzaHJeApqmYenSpVi4cCGqqqqEalVXV2P58uVCdDZv3oz58+fD4/FYNi1atEiIVlVVFYqKiuDxeOD1erFt2zZhdtkR6T8ZmKZpvZNR0zR4vV5ommad57m1pV3LrqcoCnct4tJHZjxEazE9TdOwfv16ir1ukFVW8coJ6HgvaFFRESorK7noEARBdAfLR6qqWn0j+/lUbDeoH0ZEI/M+gEgN3BgTlPtSAzffr1VXVzv6EsSlBxtPFF1GVVVVWL58Oaqrq4Xq2NE0Denp6Vi6dGnKjlsmizfrP8LOXx/Hm/UfCdVxc474/d+asLP2TeysfRO//1tTsr8OQfQIn8+HQ4cOdfvx+/0AOvLsmDFjsGLFih79nazXlRHuhCbnJaBpGlpbW9Ha2ory8nKhWhUVFWhoaBCic/z4cei6DlVVLZtaWlqEaJWXl6OxsRGqqkJVVZw8eVKYXXZE+k8G9fX1qK2tha7r0DTNKitd11FbW4v6+nohWgAsPUVRuGsRlz4y4yFai+kpioJAIECx1w2yyipeOQEdk/OhUAgHDhzgokMQBNEdLB8pimL1jQAI6R/JgvphRDQy7wOI1MCNMUG5LzVw8/1aRUWFoy9BXHqw8UTRZVReXo6GhgZpr0QELtYjGePLbqPmgw/w6YU21HzwgVAdN+eIuoZGtEUiaItEUNfQmOyvQxA9QlEU9OvXr9sPm2TXNA1/+9vfcOTIkR79naIoSbaQSGVocl4Cuq4jIyMDGRkZyM/PF6qVl5eHkSNHCtGZNm0aNE2DYRiWTYMGDRKilZ+fjxEjRsAwDBiGgSlTpgizy45I/8kgKysLkyZNgqqq0HXdKitN0zB58mRkZWUJ0QJg6ZmmyV2LuPSRGQ/RWkzPNE2MHj2aYq8bZJVVvHICOlbSeL1ezJ07l4sOQRBEd7B8xPqV9kmdVO2zUD+MiEbmfQCRGrgxJij3pQZuvl/Ly8tz9CWISw82nii6jPLz8zFy5Ejk5eUJ1bHD6pGM8WW3kT1mDC7r3w/ZY8YI1XFzjpg4cgT6paWhX1oaJo4ckeyvQxBC0HUdI0aMoBxLSIEm5yWg6zp27dqFl19+Gbm5uUK1cnJysHPnTiE6q1evxiuvvIJwOGzZtGfPHiFaubm5KCkpQTgcRigUwv333y/MLjsi/ScDRVGwYsUKKIoCXdcRCoWg67rjvAgtAJaeaZrctYhLH5nxEC+edV2HrutYu3YtxV43yCqrzvKOaZrYtm0bZs6cyUWHIAiiO1g+Mk3T6hvZz6diu0H9MCIamfcBRGrgxpig3JcauPl+LScnx9GXIC492Hii6DLKzc3Fzp07kZOTI1THjq7raG9vx65duxIatwxFIt1+2sNhtIfD3f5eqnBd1mgsv2EarssaLVTHzTnim18ajuWTrsPySdfhm18a3qdrhHUDIV3v8tMeiaA9Eun298K6wdlCgujIsyUlJSk7N0SkFmnJ/gIE8XnjxIkTePrpp3Hfffdh6tSp3K+fmZmJgoIC7Nu3D6ZpQlEUFBQUYNSoUSmtBQC7d+9GWVkZCgsLsWTJEiEaRN9xc+yJrreytWT5T3Y5uRWZ8UcQbsWN+SgZNrkxH7nJJjfGOZEYbowJN9rkRqicCOLS5cnyw8n+CsTnlKd/89tkfwWCIIhLBlo5TxASCQaDKC0tRVNTE0pLSxEMBoXoFBYWYsiQIQCAIUOGoKCgQIgOAMyZM8d68l1RFGHbvrS0tKCsrAyGYaCsrAwtLS1CdIjEkBUPgLw4l1VvZWvJ8p/MfORGZMYEQbgdN+YjmTa5MR+50SY3xjmRGDL757KgOE8NqJwIgiAIgiAIIj60cp4gJFJWVobm5mYAQHNzM/x+PxYvXsxdx+fzYeXKldYqIJ/Px12DcfDgQRhGx1ZChmGgvLxciE3FxcUOnSeeeAJbtmzhrkMkhqx4AOTFuax6K1tLlv9k5iM3IjMmCMLtuDEfybTJjfnIjTa5Mc6JxJDZP5cFxXlqQOVEEJcOPp8Phw4d6tHvBoNB62Eav9/fo7pL9ZvoDNGxxzQIgiBSDZqcJwhJBAIB+P1+mKYJoOO9y36/H//yL/+CzMxM7npTp04VvjUns8mOCJvq6upw6tQpx7m3334bdXV1mDhxIjcdIjFkxYMd0XEus97KzhGAnDwhU8dtJCMmCMLtuDEfyezzuSkfudEmhhvjnOgbyeify4LiPDWgciKISwNFUdCvX79e/53P5+vT3xEEg2KPIAgiPrStvQQ0TUNRURGqqqqEa1VXV2P58uXCtKqrq+H1eqFpmpDrM6qqqlBUVCRcx47IcjJNE+vXr0daWprDJtM0sX37dmtQMJVg3x3o8B2LC942GYaBTZs2WTrp6emW1qZNm6xVIERysccDQ9M0aJqG9evXp3yMM0TZJKs+EalDZWUlioqKoKrOrhrFBEEQsnFjP5ZyLPF5gPqXBOEeqqqqhI71uRGW96qrq5P9VbggazyWSAyZ5fRWQyOe/20djvzPn/H8b+vwVkOjcE2CcDNuazeISx+anJeApmlobGxEeXm5cK2Kigo0NDQI06qoqICqqsI7GeXl5WhsbJQ+OS+qnOrr6xEIBKAoisMmXddRW1uL+vp67pqiqa+vR21tLXRdh6ZpVlzwtqmmpgatra0AOspIURRLq7W1FTU1NVx0iMSwxwODlVcgEEj5GGeIsklWfSJShwMHDiAUClnviGVQTBAEIRs39mMpxxKfB6h/SRDuoby8XOhYnxthea+ioiLZX4ULssZjicSQWU6/DXyMs8Eg/tzcjLPBIH4b+Fi4JkG4Gbe1G8SlD03OS0DXdYwYMQL5+fnCtfLy8jBy5EhhWnl5eTAMwzFZJYL8/HyMGDFCuI4dkeWUlZWFzMxMmKYZM9E3efJkZGVlcdcUTVZWFiZNmgRVVaHruhUXvG3Kzs5GRkYGgI4yMk3T0srIyEB2djYXHSIx7PHAYOU1evTolI9xhiibZNUnInWYO3cuvF5vzO4gFBMEQcjGjf1YyrHE5wHqXxKEe8jPzxc61udGWN7Ly8tL9lfhgqzxWCIxZJbT5MxRGOzz4StDhmCwz4fJmaOEaxKEm3Fbu0Fc+tDkvAR0XUdJSQlyc3OFa+Xk5GDnzp3CtHJychAKhYR3MnJzc1FSUiJ9cl5UOSmKgrVr1yISiThsUhQFK1asiFm1kwrYv7uu61Zc8LZJVVU8+uijADrKqL293dJas2ZNzHakRHKIV+66rkPXdaxduzblY5whyiZZ9YlIHWbOnImSkpKYLWcpJgiCkI0b+7GUY4nPA9S/JAj3kJubK3Ssz42wvJeTk5Psr8IFWeOxRGLILKdrR47AXZMn4uavfQV3TZ6Ia0eOEK5JEG7Gbe0GcelDs1oEIYnMzEwUFBRYgyCKoqCgoACjRqXuk42ybJo4cSLGjx/vOHfNNddgwoQJXHWIxKAYTx0tIjWgmCAI4lLBjfnIjTYRRDQU5wRBEARBEARBEJceNDlPEBIpLCyMGRgRxezZszFjxgzMnj1bmAbQYZPH4wEAeDweYTYVFxc7fLdu3TohOoyNGzdixowZ2Lhxo1Cd3bt346abbsLu3buF6siisLAQAwYMAAAMGDBAaIzLwm7TwIEDhdpUWFiIIUOGAACGDBki3H8nTpzAwoULceLECaE6suoTIM8mWXVXVo4F5OajVatWYcaMGVi1apVQHVnxAMjzn8z6JDMmZNrlNmTFuew2SgaFhYXw+XwAAJ/PJ9QmmflIppbbcKPvZNZdme2GLC032iQzzmX1+QiCIAiCIAgilaDJeYKQyEcffWS929IwDHz00UdCdGpqatDW1gYAaGtrQ01NjRAdAGhtbUUoFAIAhEIhtLa2CtFJT093DJ6mp6cL0QGApqYmHDt2DABw7NgxNDU1CdFpaWlBWVkZDMNAWVkZWlpahOgQ/Ije/pY3Pp8PK1euxPDhw7Fy5Uor5kUQDAZRWlqKpqYmlJaWIhgMCtGRVZ8AeTbJrLuycqxMm+rr63Hq1CkAwKlTp1BfXy9ER1Y8APL8J7M+yYwJmXa5DZlxLrONkkV7e7vls2AwiPb2diE6MstJppbbcKvvZNVdme2GLC032iQzzmX1+QiCINxIWNcR6ubTHomgPRLp8nfC9CoEgiCISxKanCcIidx///1dHvNizZo1XR7z5IEHHnAci3oivqyszDF46vf7hegA8mwqLi52PKzxxBNPCNGRSVlZGc6fPw8AOH/+vNBykoVsm6ZOnYqXX34ZU6dOFapTVlaG5uZmAEBzc7Mwu2TVJ0CeTTLrrhvz0YoVKxzHK1euFKIjKx4Aef6TWZ/cGOduRGacA/LaKFkUFxdbD96ZpikszmWWk+yYcBNu9p2Muiuz3ZCl5UabZMa5rD4fQRCEG3nq2K/x0//8f11+Nv/XMWz+r2Nd/s5Tx36dbFMIgiCIONDkPEFIYteuXYhEIo5zkUgEu3bt4qrz2GOP9ep8Ihw9ehRnzpxxnPvkk09w9OhRrjqBQAB+v98xeOr3+xEIBLjqAPJsqqurs1YRMN5++23U1dVx1ZGJzHKShRttAuTZJas+AfJskll33ZiP/H6/tbML48KFC9wHhmXWXVn+k1mf3BjnbsStbZQsZMW5zHKimOg75LvEkNluyNJyo00y41xWn48gCIIgCIIgUhGanBfEbbfdhoKCAqSnpyM9PR0FBQWYNWsWZs+ejaqqKm46VVVVKCoqgtfrdejMmjULt912GzcdprV48WKHTfn5+VztYTr5+fkO/y1evBiLFi0SomX3X2FhIWbPno3bb7+dq1Y4HMZrr70Gr9draaWnp8Pj8eDVV19FOBzmohMMBvGb3/wGmqZZGuxTV1fHdcs6XdexdetWaJpm2eTxeOD1elFSUgKd07ZJpmli+/bt1jHTUxQF27dv57rNuK7rKCkpgdfrhaZplh9522QYBjZt2uS4vqZpAIBNmzZZKyZSiehyYiiKgqKiIlRWVibhWyWGG20CnHax+qRpmnWeV52Krk9MLz09HaWlpThy5AgXHSB+WbE6vH79em42GYaBDRs2OHIE+z/vuhsvx6anp0PTNGzdupV7PrLDNIuLi7nGeSQSwc9//nPLFntsPP/88zEPsPUVWTEOOP1nLyveMSGrfQKcbZTX67XadlFxzuzyeDyOuOAZ525EVt5zK7LyOSsnVVUdOU9EPpKZ+9yGzHJyIzL7R9FtFGtzAb73UXab7O0gbx2mJaMvIfPeJhKJYPfu3Q7/sfECnn0+O6wfsW3bNu7XTiaapqGoqIj7WFhnWkuXLsXChQuF6bEYr66uxoMPPohZs2bhwQcfFKLF2LZtG+bMmYPNmzcLuz67v1m6dKkw31VXVztykSg2b96M+fPnw+PxABDrP1k2AcCb9R9h56+P4836jxz/v9Tw+Xw4dOhQl58VK1bgiiuuwPLly606tXz58m7/7tChQ5fsa6mqqqqwfPlyVFdXJ/urEARBWNj7LSKgyXlBsPcVKooCRVGs86Zpory8nJtOeXk5GhsbY3Ts34GnVjAYdGgZhsHVHqbDbkCZVjAYREtLixAtu/9M04RpmggGg1y1nnnmGWiaBlVVLS1FUaCqqvVzHjzyyCMAOhKHXUdRFGiaZv2cB5WVldB13WGXqqrW/3nd3NfX16O2ttYaoLfr1dbWcn1vXWVlpWUHG1hixzxtqqmpQWtrq+P67GaktbUVNTU1XHRkEl1ODEVREAqFcODAgSR9s77jRpsAp12sPmmaBl3Xudap6PoEOHPTvn37uOgA8cuKaQUCAW421dTUIBwOO3IE+z/vuhsvx7Jcrus693xkh2kC4Lq6ae/evQ5b7LHBfs4DWTEOOP1nLyveMSGrfQKcbRRr10XGeXT/wV5eqfoQlAxk5T23Iiufs3KKznki8pHM3Oc2ZJaTG5HZP4puo1ibC/C9j7LbZG8HeeswLRl9CZn3Nnv37o3pR9jHP3j1+ewwjZMnT3K/djLRNA2NjY3cx8I602ptbUVra6swPRYXFRUVePfddwHA+lcUJ0+ehK7rOH78uLDrs/sbkb6rqKiIuX8SwfHjx6HrulVfRfpPlk0AUPPBB/j0QhtqPvjA8f9LDUVR0K9fvy4/R44cQWNjI15//XWrTr3++uvd/l2/fv1i5g4uFcrLy9HQ0ICKiopkfxWCIAgLe79FBDQ5L4j09HQAsCZ7GYqiID8/n5tOfn4+RowYEaNj/w48tXw+n0NLVVWu9jAd1glkWj6fD4MGDRKiZfcf61D7fD6uWvfeey90XYdhGJaWaZrWQwj33nsvF50nn3wSQMdAkl3HNE3oum79nAczZ860BvyYXYZhWP+fOXMmF52srCxMmjTJigm73uTJk5GVlcVFB+iwidmh67rlR942ZWdnIyMjw3F9NkiSkZGB7OxsLjoyiS4nhmma8Hq9mDt3bpK+Wd9xo02A0y5Wn9hAPs86FV2fAGdumjdvHhcdIH5ZMa3Ro0dzsyk7Oxsej8eRI9j/edfdeDmW5XJN07jnIztMEwAKCgq46ADAggULHLbYY4P9nAeyYhxw+s9eVrxjQlb7BDjbKNaui4zz6P6Dvbx42uU2ZOU9tyIrn7NystcjAELykczc5zZklpMbkdk/im6jWJsL8L2PstsUHReibALE9iVk3tssWLAgph9hH//g1eezwzSmTJnC/drJRNd1jBgxgvtYWGdaGRkZyMjIEKbH4iIvLw/jxo0DAOtfUUyZMgWapmHatGnCrs/ub0T6Li8vL+b+SQTTpk2DpmlWfRXpP1k2AUD2mDG4rH8/ZI8Z4/h/KpKfn4+RI0ciLy/PUadSGbtNBEEQlwqicyxNzgvi1Vdfhd/vR3t7O9rb2+H3+3H48GEcOnQIubm53HRyc3NRUlKCUCjk0Dl8+DBeffVVbjpM66WXXnLYVF5eztUeplNeXu7w30svvYQ9e/YI0bL7r6ysDIcOHcL+/fu5ank8Htxyyy0IhUKWVnt7O8LhMAoLC63tohLF5/PhW9/6FnRdtzTYZ/LkyVy3L9I0DatWrYKu65ZN4XAYoVAIDz74ILcnXxVFwYoVK6ynO5meaZqO8zxgW8aFQiFrYKm9vZ27Taqq4tFHH3Vcn92MrFmzJmbAJBWILieGaZrYtm1bSk6wuNEmwGkXq0+6rndqb1+Jrk8ArJh/4IEHcPPNN3PRAeKXFavDa9eu5WaTqqp4/PHHHTmC/Z933Y2XY9vb26HrOlavXs09H9lhmuvXr+ca52lpafjud79r2WKPjWXLliEtLY2LjqwYB5z+s5cV75iQ1T4BzjYqFApZbbuoOGd2hcNhR1zwjHM3IivvuRVZ+ZyVk2majpwnIh/JzH1uQ2Y5uRGZ/aPoNoq1uQDf+yi7TfZ2kLcO05LRl5B5b5OWloYlS5Y4/MfGC3j2+eywfsT999/P/drJhL0CiPdYWGdau3btwssvvyxMj8V4Tk4OtmzZgsOHD2PLli1CtBj3338/Dh48iNWrVwu7Pru/2bVrlzDf5eTkOHKRKFavXo1XXnnFev2mSP/JsgkArssajeU3TMN1WaMd/09FcnNzsXPnTuTk5DjqVCpjt4kgCOJSQXSOTb0ZIIJIUZYuXRpzE5qWloY777yTq84Pf/jDuOc3bNjAVQcAZsyYgaFDhzrODRs2DDfeeCNXnczMTBQUFFgDCYqioKCgAKNGjeKqA8izaeLEiRg/frzj3DXXXIMJEyZw1ZGJzHKShRttAuTZJas+AfJskll33ZiPCgoK0K9fP8e5/v3749Zbb+WqI7PuyvKfzPrkxjh3I25to2QhK85llhPFRN8h3yWGzHZDlpYbbZIZ57L6fARBEARBEASRitDkPEFIZNu2bV0e82Ljxo1dHvPkqaeechxv3bpViE5hYSGGDBkCABgyZAjXrZajkWVTcXGxtRJCVVWsW7dOiI5MZJaTLGTbdOLECSxcuBAnTpwQqiPLLln1CZBnk8y668Z8tH37dsdxaWmpEB2ZdVeW/2TWJzfGuRtxY7srE1lxLrOcKCb6DvkuMWS2G7K03GiTzDiX1ecjCIIgCIIgiFSDJucJQiKjR4+2tmjVNA2jR4vZQik7O9t6Sr1fv35C32E+fPhwTJ8+HQAwffp0DB8+XIiOz+fDypUrMXz4cKxcuZLrFv3RyLJp0KBBKCwshKqqKCwsxKBBg4ToyERmOclCpk3BYBClpaVoampCaWkpgsGgMC1ZdsmqT4A8m2TWXTfmo6ysLGt12Pjx44W9y1dm3ZXlP5n1yY1x7kbc2O7KRFacyywniom+Q75LDJnthiwtN9okM86HDRtm7R6YlpaGYcOGCdMiCIIgCIIgiFSC/4ueCILolLKyMhiGAQAwDAN+vx+LFy8WonXo0CEh143HmjVrpOhMnToVU6dOlaIly6YlS5ZgyZIlUrRkIbOcZCHLprKyMjQ3NwMAmpubheYIQJ5dsuoTIM8mmXXXjflI1spomflIlv9k1ic3xrkbcWO7KxNZcS6znCgm+g75LjFkthuytNxok8x7G/YuaV3Xhd/bEARBEARBEESqQCvnCUISgUAAfr8fpmkCAEzThN/vRyAQSPI3IwjiUoByBEEQBEEQBEEQboDubQiCkElI1xGKRLr8tIfDaA+Hu/69fzxQRBAEQRCioZXzKU5VVRUOHjwITdOg6zqqq6tx5MgR5OfnIzc3V5iupmkoKirCnDlzuOtUVVWhvLwcN998M9frJhPTNLF9+3aoqmqVla7r1vlNmzZBUZRkf02CIJIE5QiCIAiCIAiCINwA3dskTnV1Nbxer7XzgGg0TYOmaaiursasWbOkaIpEtv+IxEl0PHvz69UCvhVBEARBiINWzqc45eXlaGxstN5jXlFRgYaGBpSXlwvV1TQNjY2NQnTKy8vR0NCAiooK7tdOFvX19aitrYWiKNYNKtCxtVttbS3q6+uT/A0JgkgmlCMIgiAIgiAIgnADdG+TOBUVFQ7fiUbTNKiq6ppxONn+IxJH1ng2QRAEQVwq0Mr5FCc/Px8HDx60bm7y8vKsJw1Fous6Ro0aJUQnPz/fWjm/fft27tdPBllZWZg0aRLeeustALCe3tU0Dddddx2ysrKS+fUIgkgylCMIgiAIgiAIgnADdG+TOHl5eXj22WelrfxmOnl5eVL0RCPbf0Ti9GU82+fz4dChQz363WAwiIKCAgCA3++Hz+fr0fUJgiAIQhS0cj7Fyc3NRUlJidXhzMnJwc6dO4VuaQ90dNxLSkqE6OTm5mLnzp3Iycnhfu1koSgKVqxYAdM0EQqFrPJi52lLN4L4fEM5giAIgiAIgiAIN0D3NomTk5Pj8J1odF1HKBRyzTicbP8RidOX8WxFUdCvX78efewT7T6fr0d/Q7mKIAiCEAlNzhOEJDIzM62nNBkFBQUYNWqUEL3Zs2djxowZmD17tpDr27n77rsxY8YM3H333UJ1Tpw4gYULF+LEiRNCdQBg48aNmDFjBjZu3ChUR6ZNu3fvxk033YTdu3cL1Vm1ahVmzJiBVatWCdUB3BV7snMEIC/+ZJUTIM8mmXVXlpasHCFbSxaycp8bYw9wZxslyyY3xgTZlBrIzOWy+uZubQtl+U+WDiCvTrnRJhmxl4x7G4IgCIIgCIJIFWhyniAkkp6e7jj2er1CdGpqatDW1gYAaGtrQ01NjRAdAHj33Xfx4YcfAgA+/PBDvPvuu0J0gsEgSktL0dTUhNLSUgSDQSE6ANDU1IRjx44BAI4dO4ampiYhOjJtamlpQVlZGQzDQFlZGVpaWoTo1NfX49SpUwCAU6dOCX2foBtj74YbbnAcT5s2TZiWLLtklRMgzyaZMSFLS1aOkK0lC1m5z42xB7izjZJlkxtjgmxKDWTmcll9c7e2hbL8J0sHkFen3GiTzNibOXOm41j0Do8EQRAEQRAEkSrQ5DxBSOTFF1/s8pgXa9as6fKYJ/fff3+Xx7woKytDc3MzAKC5uRl+v1+IDgA88MADjmNRq+tk2lRcXAzDMAAAhmHgiSeeEKKzYsUKx/HKlSuF6ADujL3vf//7juPVq1cL05Jll6xyAuTZJDMmZGnJyhGytWQhK/e5MfYAd7ZRsmxyY0yQTamBzFwuq2/u1rZQlv9k6QDy6pQbbZIZe08++aTj+Ec/+pEwLYIgCIIgCIJIJWhyniAkMW/evF6d7yuPPfZYr84nwq5duxCJRBznIpEIdu3axVUnEAjA7/fDNE0AgGma8Pv9CAQCXHUA4OjRozhz5ozj3CeffIKjR49y1ZFpU11dnbVSkPH222+jrq6Oq47f77d2bGBcuHBByMCSG2NPpv9k2SWrnAB5NsmMCVlasnKEbC1ZyKq7bow9wJ1tlCyb3BgTZFNqIDOXy+qbu7UtlOU/WTqAvDrlRpvcGucEQRBEYoR1HaEuPu2RCNojkS5/J6TrCOt6sk0hiB5hmiba2tqsj33HomAw6PgZ658R7iYZMaGYFF3cefDBB61te5l7FUWBoigYOHAgFixYwG07r6qqKuzcuRP6Pxo/RVEAAGlpaVi6dCnXbcPmz5+P8+fPO2xiTJ8+ndsKz878N2DAALzyyitcNIAO3+3YsQOmaca16d577+Xmv6KiIpw+fRpAh012HdM08corryAjIyNhnWAwiFmzZsHr9cZoAMCyZcswa9ashHUAoKKiAjt27ICiKDAMA4ZhIC0tDaZpQtd1HD58GB6PJ2Ed0zTx6KOP4ne/+x0AQNM0K94nTJiATZs2OWxNBF3XkZeXBwCWLYqiWJOLFRUV0DQtYR27TcwWTdOQlpaGUaNGWX7lgWEYuP3229Ha2mppsDL6whe+gP3790NVE39OKxKJ4Dvf+Q40TYOiKJYG0GHbvffei5tvvjlhHQAIh8O4+eaboWmapQdASOzdc889+PjjjxGJRBz28I69SCSC2bNnQ1VVqz4x2yKRCP7jP/4DaWlpXLRk1alwOIxZs2Y5YgKAZROvcgKAyspKvPDCC2hra0M4HLbO8y6r6LrLYtA0TXzzm9/kGhOytAzDwNy5cxGJRKw6xOIhIyODW45gWrfffjs+++wzR9xpmgaPx4MDBw5w05JFJBLBzJkzO81HvOquzLZQZu6rrKzEjh07EA6HHTq8Y8LeRrG23d5W8cyxrE5F28S73WUx8fvf/x6Kolh1V0Q5yYq/eP0jAPB4POjXrx/uvPPOmC2SE9GSEecy65MsWC5va2uz+i2s7eXdbui6jlmzZln1VVVVRx+TV99cVn+Zaclqd48cOYIdO3ZY9zL2viXAz3+snNj3ttulaRo3HXZtGbmP3ReysvF4PFb8KYqCe+65h9u9jcw+nz3O7W0i736YXYv5juUK3nG+efNmHD9+3MpDmqYhPT0dd9xxB9fxsKqqKpSXl6Nfv37461//CgDo168fvF4v1zE+oMOmX//611aeuOyyy6AoCubPn8/91QBVVVV48cUX0dbWBsMwMH36dJw8eRLTpk3juosbK6dQKATDMDBw4ECEQiHccMMNQnaLO3z4sPVA+FVXXYW2tjbk5+cLebVCW1sbZs+eDU3TkJWVhTlz5gjR+fGPf4xf//rXAIBhw4bh008/5V5OjLa2Ntxyyy3QNI3rOGI0dpuuuuoqfPDBB0Js2rx5M/6//+//s3YNWbp0qTCbWDwAHbt2HTlyREjsVVVVYe/evTh79ix0Xce9997bay37d+0M1l6w9tDeR7L31+Nx6NAh9OvXr2cGRX0n0fXp8OHDePbZZ6HrOl577bVef8+eUFVVhVdeeQWmaaK5uRm6rifkEwD43vir4emk/XznbAveOnsW1w4ejKsHD+rymmHDwM9OvQPgYjnZdZZ/eVynOr0lbBjY+Zd3HVq9wf69+vL38TBNE6tWrcI777zjOG+Pd3t8jx8/Hlu2bOF23ybCJiIxomOC3RMCcNzvMnjFRGqNgKYI9vfpssE/oKOQW1tbUV5ezk2rvLwchmE4dICOQUieOgBw/vx5AIjRAoDjx49z0+nMf0yfF+Xl5TEPT0T/nBfvvfeepRHvc8cdd3DReeSRRwAgroaqqnjppZe46ADAnj17oKqqdW022MP+/8wzz3DRqa+vR21trTVQwa6v6zpqa2u5vi+2srLS0mG2KIpi6VVWVnLRsdvEYJqBQICrTTU1NWhtbXVoMB+2traipqaGi87evXut8rFrsHMvv/wyFx0AVmzZ9UTFXiAQsGKAISL29u7dG+M7e/zt3buXm5asOvXMM8/ELSNmE69yAoADBw4gFArF5HHeNkXXXbt9vGNCllZNTQ3C4bAj9hg8cwTTYgPC0TkiHA5z1ZIFq5ud5SNedVdmWygz97FV63YdETFhb6PYR0Q5ARfrVHSM8253WUxE111RMSEj/uL1j4COfm0oFMKBAwe46DAtGXEusz7JguVyez1i8G43KisrLY3oesuzby6rv8y0ZLW7+/bts2Ivum/J03+snKLbQABcdQB5uY/dFzLsbbyiKNi3bx8XHUBun88e5/Y2kXc/zK4VnSt4x/nx48eh67qlYZomgsEg9/Gw8vJyNDQ04PTp01YcBINB7mN8QIdNhmFY5dPa2oqWlhbuOkCHXcFg0PLfyZMnoes61zE+4GI5sXobDAZhGAZ3HUZFRYVVTqdPn0ZDQ4MQ/9nRNA2NjY3CdE6ePGnZdObMGSHlZIfliYqKCmEadptOnz4tzKbjx487HtAVaZOdiooKYbFXXl5u9cfYg3AitKLv3eP1X0Qguj5VVFQIt6O8vBwtLS3WGIho3jp7Fq3hMN46e1a4lhuIN6lqj3fi84c9Jli+i77f5Q1Nzgtg3Lhx1v+jV2VnZGQgPz+fm1Z+fr51A2LfBCEtLY2rDgAMGDAAAGK0AGDatGncdDrzH9PnRX5+vuPBiWibePrvyiuvtDTifXi9e5690y2ehmEYWLx4MRcdAFi0aBEMw7Cureu64//33nsvF52srCxMmjQJqqpC13Xr+pqmYfLkycjKyuKiA8Ba/Wi3hT0Rqmkat9VadpsYTHP06NFcbcrOzrZ2ZYguo4yMDGRnZ3PRWbBggVU+dg12buHChVx0AFixZdcTFXuZmZmOFVoAhMTeggULYnxnj78FCxZw05JVp+699964ZcRs4lVOADB37lx4vV7rSXgGb5ui667dPt4xIUsrOzsbHo/HEXsMnjmCaWVkZDjijv3f4/Fw1ZIFq5ud5SNedVdmWygz9xUUFACAQ0dETNjbKPYRUU7AxToVHeO8210WE8we+6SOyHwkMv7i9Y+Ajn6t1+vF3LlzuegwLRlxLrM+yYLlcns9YvBuN2bOnGlpRNdbnn1zWf1lpiWr3Z03b55jdZuoextWTtFtIACuOoC83MfuCxn2Nt40Ta6vppPZ57PHub1N5N0Ps2tF5wrecT5t2jRrFwC2cMXn83EfD8vPz8fIkSMxduxYKw58Ph/3MT6gwyb7jmoZGRkYNGgQdx2gwy6fz2f5b8qUKdA0jesYH3CxnFi99fl8UFWVuw4jLy/PKqexY8di5MiRQvxnR9d1jBgxQpjOlClTLJuGDh0qpJzssDzBdpcUgd2msWPHCrNp2rRp1i48pmkKtclOXl6esNjLz8+3+mNst5feavl8Phw6dKjLz7Jly/ClL33J6ksMHDgQGRkZWLZsWbd/6/P5+myf6PqUl5cX0w/jTX5+PgYNGmSNgYjm2sGDkeHx4NrBg4VrpTqKomDLli1x433EiBEx8c1z1TxxaRIdE8uWLYPP54OiKLjhhhtiYoVXTNC29gKRtUWFzK0w3KglS2fevHlobm6OOT9s2DCuK7Yee+wx/OY3v4k5f/3112PDhg3cdICO90m/+uqrMecLCwtx5513ctMJBAK4++67HZ2ZtLQ0PPfccxg1ahQ3HaDj3YKbN2+OOf/QQw/hxhtv5KYj06a6ujo8/PDDMed/8pOfYMKECdx0/H4/nn/++Zjzy5Ytw6233spNB3Bn7Mn0nyy7ZJUTIM8mmTEhS0tWjpCtJQtZddeNsQe4s42SZZMbY4JsSg1k5nJZfXO3toWy/CdLB5BXp9xok1vjnMapUkPLjTbJ1CKbUkOLbEoNrVSyqafb2veGz/u29snGjTYRfYNWzhOEJDrb+o7nxDwA/PCHP4x7nvfEPNDxnqbod7SmpaVxn3TLzMxEQUGB9USSoigoKCgQMqA5Y8YMDB061HFu2LBh3AdgZNo0ceJEjB8/3nHummuu4T4oUlBQENOh6N+/P/dJD8CdsSfTf7LsklVOgDybZMaELC1ZOUK2lixk1V03xh7gzjZKlk1ujAmyKTWQmctl9c3d2hbK8p8sHUBenXKjTW6Nc4IgCIIgCIJINWhyniAksnTp0i6PebFx48Yuj3mybdu2Lo95UVhYiCFDhgAAhgwZYm2FK4KnnnrKcbx161YhOoWFhdbrGgYOHCjUpuLiYmurRFVVsW7dOiE627dvdxyXlpYK0QHcGXsy/SfLLlnlBMizSWZMyNKSlSNka8lCVt11Y+wB7myjZNkksy9BOfbS15GJzFwuq2/u1rZQlv9k6QDy6pQbbXJrnBMEQRAEQRBEKkGT8wQhke985ztdHvPim9/8ZpfHPBk3bhwuv/xyAMDll1+OcePGCdHx+XxYuXIlhg8fjpUrVyb07qLuGD58OKZPnw4AmD59OoYPHy5MiyH6DSODBg1CYWEhVFVFYWEhBg0aJEQnKyvLWiExfvx4oe9SdWPsyfSfLLtklRMgzyaZMSFLS1aOkK0lC1l1142xB7izjUpGnIvuS1COvfR1ZCIzxmX1zd3aFsryn8x7KFl1yo02uTXOCYIgCIIgCCKVSOv+VwiC4EVZWRkURYFpmlAUBX6/H4sXL05ZHcZzzz0n7Np2pk6diqlTp0rRWrNmjXCNsrIynD9/HgBw/vx54eW0ZMkSLFmyRNj1GSJXlETjxtiT6T9ZdskqJ0CeTTJjQpaWrBwhW0sWsuquG2MPcGcbJcMm2X0JyrGXvo5MZOZyGX1zwL1toSz/ydIB5NUpN9rk1jgnCIIgCIIgiFSBVs4ThCQCgQD8fr+1qsk0Tfj9fgQCgZTUIRKDyokgCIIgiESgvgRBEARBEARBEARBEETqQZPzgqiqqkJRURE0TQPQ8Y7dOXPmYPPmzUL0NE2D1+tFdXW1kOtXVVVh+fLlwq6fLC0AqK6uhtfrhcfjwdKlS7Fo0SJUVVVx1TBN0/GeU1ZeiqJg+/bt3LYhteswDU3TrPOitzsleoZpmli/fj3S0tKsHMHOUzkRBEEQBNEdrM+gqqrV37Ofp74EQRAE8Xmkuroay5cv5z6mQ6QeosdJZcPGLu1jSKlM9Li5TChPEARBEJcCNDkviPLycjQ2NlqdjJMnT0LXdRw/flyInqZpUFUVFRUVQq5fXl6OhoYGYddPlhYAVFRUQFVVqKqK1tZWtLS0oLy8nKtGfX09amtroes6gIvlpSgKamtrUV9fz12HaWiaBl3XueoQiVFfX49AIABFURw3IlROBEEQBEH0BNbnUxTF6u8B1JcgCIIgPt9UVFSgoaGB+5gOkXqIHieVDRu7dMvkfPS4uUwoTxCpStgwuv2EdB0hXe/29wiCSD70znlB5Ofn4+DBg9bA2JQpU3Dy5ElMmzZNiB6b9M3LyxNy/fz8fJSXl+Pmm292rABPdS2gw2fPPvssTNPEZZddBkVRkJ+fz1UjKysLkyZNwptvvgnDMKzyMk0TkydPRlZWFncdpsEm6q+77jpuOkRiZGVlITMzEx9//LFVTgConAiCIAiC6BGsz/fWW28BgOMBUOpLEARBEJ9X8vLycOTIEe5jOkTqIXqcVDZs7NI+hpTKRI+by4TyBJGq7Prj/yT7KxAEwRFaOS+I3NxclJSUWJ2m+++/HwcPHsTq1auF6Om6jlAohJycHCHXz83Nxc6dO4VdP1laAJCTk4NQKIRwOIxdu3Zhz549yM3N5aqhKApWrFgBRVEAXCwv0zQd53nqMA1d12P0ieSiKArWrl2LSCTiuLGiciIIgiAIoiewPoNpmlZ/z36e+hIEQRDE55GcnBzs3LmT+5gOkXqIHieVDRu7dMvkfPS4uUwoTxAEQRCXAjQ5TxCSyMzMREFBgeNcQUEBRo0alZI6dnbv3o2bbroJu3fvFqYBAKtWrcKMGTOwatUqoTqAeJuSUU4nTpzAwoULceLECWEaMnUAebEnSweQ6z9ZyPSfG2NCFm6MvY0bN2LGjBnYuHGjcC035lg34qZ85OY+n8w4l5Un3NSPdTNuzbFu7B9Ru9t33Hi/RhAEQRBuxOfz4dChQz36+P1+6+/8fn+P/sbn8yXROoL4fEOT8wQhkRtvvNFx/M///M9CdGbOnOk4Fvk0aEtLC8rKymAYBsrKytDS0iJEp76+HqdOnQIAnDp1SujWV7JskllOwWAQpaWlaGpqQmlpKYLBYErrAPLKSZYOINd/spDpPzfGhCzcGHtNTU04duwYAODYsWNoamoSpuXGHOtG3JiP3NjnkxnnsvKEG/uxbsStOdaN/SNqd/uOG+/XCIIgCMKtKIqCfv369ehjn2j3+Xw9+hvacY0gkgdNzhOERB566CHH8cMPPyxE58knn3Qc/+hHPxKiAwDFxcUwDAMAYBgGnnjiCSE6K1ascByvXLlSiA4gzyaZ5VRWVobm5mYAQHNzs+NpylTUAeSVkywdQK7/ZCHTf26MCVm4MfYeeOABx7HI1apuzLFuxI35yI19PplxLitPuLEf60bcmmPd2D+idrfvuPF+jSAIgiAIgiBSDZqcJwhJHD16FGfOnHGc++STT3D06FGuOnV1ddbKHMbbb7+Nuro6rjoytfx+P9ra2hznLly4IGQgQZZNMsspEAjA7/fDNE0AgGma8Pv9CAQCKakDUDmlCm7MRzJtkoUbY09Wmwu4M8e6EcpHqaElM85l5Qk39mPdiFtzrBvzEbW7fceN92sEQRAEQbgD0zTR1tbm+Nh3+AkGg46fsf4MQaQqNDkvkG3btiE9PR3p6ekoKCjA7NmzsXnzZq4aVVVVWLx4cYzOokWLUFVVxVVr8+bNmD9/PjweDzRNQ1FREXcNpjN79mwUFBQgPT0dHo9HmFa0/xYvXoyFCxdy1zpy5AhKS0uhaZp1zuPxID09Hdu2bYOu61x02NPozG92Nm3aZD21zktrw4YN8Hq90DQNmqZZ/+epFYlEsHv3bqSnp8Pr9cLj8Vj/7tmzB0eOHOGiA3TYtGnTJutY0zRLd8OGDdxsYjosBuxlxbucTNPE9u3boaqqVT7287w6Mux6dlhcrF+/nmuHqbKyEsXFxTFxB/D1HysnpsFij3eMA7H+Y5qKonAtJ5mwHMHqkD3/icxH6enpwrSi8x5wsax45giZyMoRMtF1HSUlJZY99ly7detWbm0uIC/3ubGcZBLdvgMX+2FPPPEE93wko+2w5yO7BiA2x4rUktmXsPfNo/tjPPOEvR9r19A0TVg/1t5/FRUTbsON/TAgNh/Z+84i7m0YTCM9PZ17/0h2u2vXSPWYkNmXkHVfDXSM6SxYsMDKs0uXLhUydsSorq62/FddXY3ly5dz16uqqkJRUZHV5lZXV6OqqkqoFquz9913nxAdO5qmYfHixcjPz+c+Rsp45JFHrJgTNZ4IdPhv6dKlMfegInSKioqEathhce7xeISVlUzfLV++HNXV1VYur66uFqbFxpijx2RFwMqJjS2LyhFLly6NGdMhekZ03RXVbsjkj+fOYX/gY/zx3Dmu1zVNE6tWrcLs2bOtzy233IJFixZZ/mPzXuzz4IMPpmSfjCAYNDkvkJMnT0JRFOvdHaZp4vjx41w1ysvLEQwGY3RaWlpQXl7OVev48ePQdR2qqkLTNDQ2NnLXYDossSqKAlVVhWlF+y8YDKK1tZW71r59+6AoiqMjo6qqpVtZWclFp6amBoZhWH6z09raipqaGi46TCscDlvxoGma9X+eWnv37oWmaZZN0Z+XX36Ziw7QYVNra6t1bNcNh8PcbGI6LAbsZcW7nOrr61FbW2vpsBjUdR21tbXc3nnKdOyD2cx/gUCA67tV2Uqz6LgD+PqPlRPTYB/eMQ7E+o9pKorCtZxkwnJEdOwBYvNRdK7lHRP2vAdcLCueOUImsnKETCorKx322HOtruvc2lxAXu5zYznJJLp9By72wwzD4J6PZLQd9nxk1wDE5liRWjL7Eva+eXR/jGeesPdj7RpMV0Q/1t5/FRUTbsON/TAgNh/Z+84i7m0Ydv/x7h/JbnfdFBMy+xKy7quBjjGdSCRi5VkR4zl2KioqLP9VVFSgoaGBu155eTkaGxutNreiogLl5eVCtZj/zpw5I0THjqZpCAaDMAyD+xgp4/Tp05ZNosYTgQ7/tba2xtyDitBpbGyUNjnK4lxVVWFlJdN3DQ0NqKiosHJ5RUWFMC02xhw9JisCVk6KouDkyZPCcgQbv6TJ+d4TXXdFtRsy+UPrObRGIvhDK9/JeQDW3BYjesyXINwGTc4LZMqUKTBN0zHRPG3aNK4a+fn58Pl8MTqDBg1Cfn4+V61p06ZB0zQYhgFd1zFixAjuGkzH/qCBYRjCtKL95/P5kJGRwV1r3rx5ME3TMYhgGIalO3PmTC462dnZUFXV8pudjIwMZGdnc9FhWh6Px4oHXdet//PUWrBgAXRdt2yK/ixcuJCLDtBhU0ZGhnVs1/V4PNxsYjosBuxlxbucsrKyMGnSJMtf9gGmyZMnIysri6uO/QaE+W/06NHcdICOJyXZ9e1xB/D1HysnpmH3oahysk8MsPjgWU4yYTmCxbg9/4nMR9G5lndM2PMecLGseOYImcjKETKZOXOmI+7suVbTNG5tLiAv97mxnGQS3b4DF/thqqpyz0cy2g57PoqOC5E5VqSWzL6EvW8e3R/jmSfs/Vi7BtMV0Y+1919FxYTbcGM/DIjNR/a+s4h7G4bdf7z7R7LbXTfFhMy+hKz7aqBjTCctLc3KsyLGc+zk5eVZ/svLy8PIkSO56+Xn52PEiBFWWeXl5SE/P1+oFvPf0KFDhejY0XUdPp8PqqpyHyNljB071rJJ1Hgi0OG/jIyMmHtQETojRowQqmGHxblhGMLKSqbvRo4ciby8PCuX5+XlCdNiY8wydixi5WSaJqZMmSIsR7DxS1nx5yai666odkMm38gYiIy0NHwjYyDX6yqKgi1btuDQoUPWZ9myZRgxYgSWLVvmOM8+W7ZsiZnQJ4hUQjFp7wdhtLW1Yfbs2QCAQ4cOoV+/fimt41YtWTpHjx6Nuw3UQw89hBtvvJGbTl1dHR5++OGY8z/5yU8wYcIEbjoytfx+P55//vmY88uWLcOtt97KTQeQZ5PMcgoEArj77rsdHem0tDQ899xzGDVqVMrpAFROqYIb85FMm2ThxtiT1eYC7syxboTyUWpoyYxzWXnCjf1YN+LWHOvGfETtbt9x4/0aQONUqaLlRptkapFNqaFFNqWGlhttSlTL/rfLvzwOHk67P4QNAzv/8m6fvpNbkRkTxKUNrZwnCEnMmDEDQ4cOdZwbNmwY90mCiRMnYvz48Y5z11xzjZABOVlaBQUFMQ1V//79uQ9oAvJskllOmZmZKCgosJ4mVBQFBQUF3AdgZOkAVE6pghvzkUybZOHG2JPV5gLuzLFuhPJRamjJjHNZecKN/Vg34tYc68Z8RO1u33Hj/RpBEARBEARBpCI0OU8QEnnqqaccx1u3bhWiU1xc7LjhXrdunRAdpsW2+1NVVZjW9u3bHcelpaVCdAB5NsnSAYDCwkIMGDAAADBgwABra3gROkOGDAEADBkyRJgO4N5ykuU/ADhx4gQWLlyIEydOCNOQ6T83xoQsZMeeDGS1uYAzxw4cOFBojpWhw5CRI2RqubF/5EabZOYjWXlCdj9WVky4DTe2hYA7+0eyysqNffPCwkL4fD4AgM/nc8X9GkEQBEEQBEGkGjQ5TxASSU9P7/KYp479hluUDgAMGjQIhYWFUFUVhYWFGDRokBCdrKws68n78ePHC33PnyybZOnIxOfzYeXKlRg+fDhWrlxpxaEI3FhOMv0XDAZRWlqKpqYmlJaWIhgMCtGR6T83xoQsZMaeLIYPH47p06cDAKZPn47hw4dL0ZX1xijROrJyhEwtN/aP3GiTzHwkK0/I7MfKjAm34ca2EHBn/0hWWbmxb97e3m5dOxgMor29XYgO4M4+M0EQBEEQBEHwIC3ZX4AgPk8UFxc7jp944gls2bKFu05ZWZnjhtvv92Px4sXcdRhLlizBkiVLhF2fIXLVYzSybJKlU1ZWhvPnzwMAzp8/LzQmpk6diqlTpwq5djRuKydAnv/KysrQ3NwMAGhubhYaEzL958aYkIXMuiuLNWvWSNGRlWNl5nKZOUKWlhv7R260CZCbj2TlCVn9WNkx4Tbc2BYC7uwfySort/XNi4uLrQf8TNMUNibBcGOfmSAIgiAIgiAShVbOE4Qk6urqcOrUKce5t99+G3V1dVx1AoEA/H6/44bb7/cjEAhw1SFSB4oJIhqKCYLgh6z6JLPeulHLjXnPjTYRiUExQRCpiay6K2tMgiAIgiAIgiCIrqHJeQFUVVVh+fLlqK6uBgBomoaioiJUVVUJ0Vq6dCm8Xi80TeN+fYIPhmFgw4YN8Hq9SE9Pd5TVpk2bYBgGFx3TNGPeaQl0vG+yqKgIlZWVXHSI1CFeTGiaBk3TsH79emnbLxOXDiwmVFV1tB3sPMUEQfSc6ByraRq8Xi8UReFan+w6TEPTNCH1VqZWZWUlioqKrPfRRn8H3v5zU95zo01EYsisuwRB8ENWPjcMA5s2bQLgzBGapqG4uJjGCi5RRI4nRuPxeDB//nxs3ryZ+7WrqqpQVFTkqnHL6LFft1JdXY3ly5dLiUGCSAYU4wRBJAuanBdAeXk5GhoaUFFRAaCjM93Y2Ijy8nIhWq2trVBV1VWdXLdRU1ODcDgMVVWhKIqjrFpbW1FTU8NFp76+HrW1tdB13XFeURSEQiEcOHCAiw6ROsSLCU3ToCgKAoEA6uvrk/jtiGTAYkJRFEfboes6amtrKSYIohdE51hN06y2nmd9suswDU3ThNRbmVoHDhxAKBSCoiiO87y13Jj33GgTkRgy6y5BEPyQlc9ramrQ2toKAI4cwfT8fj8XHYIvIscTo1FVFbqu4/jx49yvXV5ejsbGRleNW0aP/bqViooKNDQ0SIlBgkgGFOMEQSQLmpwXQH5+PkaOHIm8vDwAHTdVI0aMQH5+vhCtjIwMGIYRMyFLXDpkZ2fD4/HAMAyYpukoq4yMDGRnZ3PRycrKwqRJk+KuQPN6vZg7dy4XHSJ1iBcTuq7DNE2MHj0aWVlZSfx2RDJgMWEYhqPt0DQNkydPppggiF4QnWN1Xbfaep71ya7DNNgEHO96K1Nr7ty58Hq9MTsI8dZyY95zo01EYsisuwRB8ENWPs/OzkZGRgYAOHIE0ysoKOCiQ/BF5HhiNIZhQNM0TJs2jfu18/PzMWLECFeNW0aP/bqVvLw8jBw5UkoMEkQyoBgnCCJZ0OS8AHJzc7Fz507k5OQA6OhMl5SUIDc3V4jWrl27EAqFXNXJdRuqquLxxx9HKBRCe3u7o6zWrFkTM5neVxRFwYoVK2JWoJmmiW3btmHmzJlcdIjUIV5MsEGYtWvXxsQK4X5YTJim6Wg7OssfBEF0TnS90XUdoVAIpmlyrU92Haah67qQeitTa+bMmSgpKYnZspe3lhvznhttIhJDZt0lCIIfsvK5qqp49NFHAcCRI3Rdx/r162ms4BJF5HhiNOFwGK+88gpWr17N/dq5ubkoKSlx1bhl9NivW8nJycHOnTulxCBBJAOKcYIgkgVNzhOEJCZOnIjx48c7zl1zzTWYMGECV53MzMyYp94LCgowatQorjrJ4MSJE1i4cCFOnDiR7K/CDRk2sZhgAzuKogiNCSqnSx/ZMbF7927cdNNN2L17t5Drux03+s9NdUpWfZJZb92oJTvvySAZNsmqu27KEQw39vnciBtjj7j0kXUPL2tMwg7VKYIgCIIgCIKIhSbnCUIiDz74oON41apVQnSin3p3w9N/wWAQpaWlaGpqQmlpKYLBYLK/UsLItKmwsBBDhgwBAAwZMkTYtoVUTqmDrJhoaWlBWVkZDMNAWVkZWlpahOi4FTf6z411as6cOY7JMFFb4smqt4A8m2RqyfSfLGSWk6y668Yc4cY+nxtxY+wRqcONN97oOP7nf/5nITqPPPKI4/jhhx8WogNQnSIIgiAIgiCIzqDJeYKQyJYtWxzHW7duFaLz5JNPOo5/9KMfCdGRSVlZGZqbmwEAzc3N8Pv9Sf5GiSPTJp/Ph5UrV2L48OFYuXIlfD6fEB0qp9RBVkwUFxdb75M2DANPPPGEEB234kb/ubFOHTx40FFO5eXlQnRk1VtAnk0ytWT6TxYyy0lW3XVjjnBjn8+NuDH2iNThoYcechyLmjSvrKx0HFdVVQnRAahOEQRBEARBEERn0OQ8QUiirq4Op06dcpx7++23UVdXl5I6MgkEAvD7/dY7aU3ThN/vRyAQSPI36zvJsGnq1Kl4+eWXMXXqVCHXp3JKPUTHhBvzkUzc6D831ilmkx2RNomut4Bcm9zoP1kko5xE11035wg39fnciBtjj0gdjh49ijNnzjjOffLJJzh69ChXHTe2GwRBEARBEASRitDkvECqq6vh9XqRnp6OBQsWID8/H5s3b+aqUVVVhaKiImiaBq/Xi4KCAtxyyy1Cn36Wgd0uTdNQVFQk1Cbmv+rqaiHXNwwDGzZsgNfrtWxi/9+0aZO14omHzqZNmwAAHo8H6enp8Hg8AMBVRyamaWL79u1QVdXymf08u9lPJUzTxPr165GWlmbZw86nsk3bt28HAEd8u8EmN8WeTKLzHnAxNjZs2JCS+UgmbJW8PY8zUj2f22Ft4vr161OyTrnVJlltVLT/WI5QFIXybDfIbHdlxYRb65Pb+kduhHIRkUyOHDmC0tJSxziBx+OB1+tFSUkJdF3noiPz3ubzUKdEjlPZx8Ps55YvX85dL56WG2DjsR6PB0uXLsXChQuFj5N6PB7Mnz+f+7hvPLZt24Y5c+YI07L7T3Scs3wnajzWrsXivLq6Wkh9sqNpmrDYY/lApM8Ymzdvxvz58+H1eoWXk0yqq6uRnp7uKpsIgkg9aHJeIBUVFVBVFYqiIBKJwDAMHD9+nKtGeXk5GhsboWma9b7JSCQidEtLGdjt0jQNjY2NQm3SNA2qqqKiokLI9WtqahAOh6GqqmUT+39raytqamq46bS2tgKAFXuq2lHNeerIpL6+HrW1tZYtrDOt6zpqa2tRX1+f5G/Ye+rr6xEIBKAoiuMmONVtqq2tha7rjvh2g01uij2ZROc94GKuDYfDKZmPZFJTUwPDMBx5nJHq+dw+yMz6L4FAICXrlFttktVGRfuP5QhFUSjPdoPMdldWTLi1Prmtf+RGKBcRyWTfvn1WfmWxxz6KosRsQ99XZN7bfB7qlMhxKvt4mP1cQ0MDd714Wm6Ajcf+/9u79/Aoqvt/4O/dJRcuBjWASAgK2qUQ7mCEYmsBQw1GDVBNFFBEES1ETEor8lUIiKitAgGqCIhUpSYoEiQmlChFvARpAaGgtlyqhHAJBkgIkGSze35/8Jt1d7PJzu6emWQn79fz+Eg2m33vOXPmM+fM7MVsNqOiogIVFRWanyc1m82w2+3Sz/t6s2PHDk2zXPtP63Gu5Gh1PtY1SxnneXl5muxPrpTzvVqMPaUeaNlnii+++AJ2u9157NAjUw95eXmGaxMRhR5enNdQUlISHA4HhBBo0aIFzGYzhg4dKjUjOTkZHTt2hN1ud776uEWLFkhOTpaaozfXdtntdnTs2FHTNtntdjgcDiQlJWny+PHx8QgLC4PD4XC2Sfl3VFQU4uPjpeVERUUBgHPsKe+ulJmjp9jYWAwcOBAOh8PZZ8Dlie6gQYMQGxvbyM/Qf7GxsYiJiYEQos4J6FBu08CBA50LUmVbGaFNRhp7evKse8BPtTYsLCwk65Ge4uPjYTab3eq4ItTrueuLDZT5S+fOnUNynzJqm/Q6Rnn2n1IjhBCssz7oedzVa0wYdX8y2vzIiFiLqDHdd999zvqqjD3lPyEERo0aJSVHz7VNc9intDxP5Xo+zPW2a6+9VnqetywjUM7HOhwOREVFISoqSvPzpA6HAxaLRfp5X28GDx6saZZr/2k9zpUcrc7HumYp4zwpKUmT/cmVcr5Xi7Gn1AMt+0wxdOhQ56c+ab2d9JSUlGS4NhFR6OHFeQ0lJCSgpqYG1dXVWLt2LXJzczFjxgypGYmJic6POqupqUFOTg4++OADJCYmSs3Rm2u77HY7srKyNG2T0n8JCQmaPL7ZbMazzz6LmpoaZ5uUfz/zzDN13hUZTM6sWbMAADabDdXV1bDZbAAgNUdPJpMJ06ZNgxDC2WeutyufGBFKTCYTZs+ejdraWrdFcKi3SXnuruPbCG0y0tjTk2fdA36qtXPmzAnJeqQns9mMOXPmuNVxRajXc9d9Rzkmzp49OyT3KaO2Sa9jlOdjKjVCCME664Oex129xoRR9yejzY+MiLWIGtMdd9yBtLQ0t/MENpsNNTU1yMjIkPaOZj3XNs1hn9LyPJXr+TDX215//XXped6yjEA5H2uz2bBy5Uq88847mp8ntdls+Nvf/ib9vK83TzzxBDZs2KBZlmv/aT3OlXqn1flY1yxlnCckJGiyP7my2+2ajT2lHmjZZ4oZM2bgb3/7G2pqajTfTnpKSEhAdXW1odpERKEn9M7sEoWoAQMGIC4uzu22Xr16oV+/fiGZo6eYmBikpKQ4F/EmkwkpKSno1KlTIz+zwLFNocGIbdKTEeuRnozYf0bcp9im0MkyGiNuJyOOByO2yYi4nagxjRw5Eu3atXO7rX379hgxYoTUHCMeN4iIiIiIQhEvzhPpKDMz0/luR+VdkVrluC6CtcpRrFmzBrfffjvWrFmjWUZqaiqio6MBANHR0UhJSdEsSy96t2n+/PkYOXIk5s+fr1lGamoq2rRpAwBo06aN5m0qKirC+PHjUVRUpFmG3ttJj/1JT3rVPaPSu57rQc99So8aAVxuU2RkJAAgMjKSx6gAsvQ8dujFaMcovbL0Pu4abTsB+tU+ozFqLQI4JoKhV98tXrzY7edFixZpkuM6Z2nZsiWP70REREREjYAX54l01LZtW6SmpsJsNiM1NRVt27bVJCciIsLtIkFERIQmOQBQXl6O7OxsOBwOZGdno7y8XJOcyMhIpKWloUOHDkhLS3O2L5Tp2abS0lJs374dALB9+3aUlpZqlqWXqqoqLF26FKWlpVi6dCmqqqo0ydFzO+m1P+lJr7pnVHrWc73otU/pVSMAoLq62vn4VVVVqK6u1ixLL0Y87urJiMcovbL0bJMRt5OetY9CA8dE4IzYd65zlkuXLhlizkJEREREFGp4cZ5IZxMnTsTmzZsxceJEzTKys7PdLhLk5ORolpWZmQmHwwEAcDgcmDt3rmZZQ4YMwTvvvIMhQ4ZolqE3vdr05JNPuv2cnp6uSU52djYqKysBAJWVlZqOvezsbJSVlQEAysrKNM3SazvpuT/pSY+6Z1R61nM96bFP6VkjMjMzIYQAAAghDLPv6lX79Dx26MWIxyg9s/Qce0bbTnq2yWiMWIsAjolg6Nl3eq3X9JyzGHWfIiIiIiIKFi/OExlMSUkJcnJy3BbcOTk5KCkpkZ61e/duHDhwwO22/fv3Y/fu3dKzKHBbtmzBjz/+6Hbb6dOnsWXLFqk5eo49PbP0wv2JPBlxnOuFx8LQYcRxbsQ2GZERt5MR26QXo/adUdulBz37Tq/1mp5zFo49IiIiIqL68eK8hp5++mlEREQgPDwcDz74IJKTk/Hyyy9rkhUWFoaIiAgsWbIEBQUFmDJlCgoKCjTJ0kNBQQEmT56M8PBwWCwWTbMKCwud26mwsFDTLK0JIbBs2TK32ywWCywWC+bNm+dcGMvgcDiwYMECAD+Nv7CwMADAggULnO/+pcZlt9uxaNEiWCwWhIeHIzw83LmtFi1aBLvdLiXHdewpWRaLxXm7zLEnhMC8efPQokULt/qgRZZe8vPzkZmZibCwsDp1j/tT86RnPTcaPfuO+25w8vPzMX36dJjN7kuSUK7nRjxGGZGyPcxms9u+G8rbSc+5mNF4HjeU/jOZTCHdd6xHgdNzLqGs11zX1MoYzMrKkrZeU9bvrvVB+fdzzz0ndc6idz1asmQJIiIiEBERgaeffhrJycm49957Q/qcGPBT32l5nsr13FtYWBimT58e8v1WUFCA6dOna34uUVFYWOg815KSkoKMjAxdco1A6Tu9tlVjMMI5egodrvu+z/3FAABVB0lEQVRUYWGhJmPv2/Pnsa7kOL49f17q4xI1R7w4r6EjR47AZDLBZDKhqqoKDocDX3zxhSZZZrMZJpMJO3bsQG5uLk6cOIHc3FxNsvSQm5uLiooKmM1mzSdpeXl5MJlMMJvNyMvL0zRLa8XFxdi1a5fbAt5iscBkMqGkpATFxcXSsnbu3ImKigoAP40/5eR6RUUFdu7cKS2LApefnw+73Q6LxeLcTsq2stvtyM/Pl5LjOvaULIvFArvdjl27dkkde8XFxSgpKYHJZHKrD1pk6UX5iEez2Vyn7nF/ap70rOdGo2ffcd8Nzvr161FTUwOTyeR2eyjXcyMeo4xIqRPKnEjZVqG8nfScixmN53HDdd4cyn3HehQ4PecSynrNdU3tOgZlrdeU9btrfVD+bbPZpM5Z9K5HO3bscK5zjxw5AofDgaqqqpA+Jwb8VIu0PE/leu7NbDbj5MmTId9vubm5OHnypG4XfPPy8pz7KwAcOnRIl1wjUPrOyBfnjXCOnkKH6z6Vl5enydj7d8V5VNTW4t8VvDhPFCxenNdQt27dIISAEAKRkZEwm80YOnSoJlkOhwNCCAwePBjJycm49tprkZycrEmWHpKTkxEVFQWHwyHtleL1SUpKghACDocDSUlJmmZpLTY2FgMHDnR7B5rdbocQAp07d0ZsbKy0rPj4eERFRQH4afwpr7aPiopCfHy8tCwK3KhRo5wnQpTtpGwri8WCUaNGSclxHXtKlnIyZtCgQVLHXmxsLGJiYiCEqHPCTHaWXlJSUgBc3pc86x73p+ZJz3puNHr2Hffd4IwdOxbh4eF13q0XyvXciMcoI1LqhOe+G8rbSc+5mNF4Hjdc582h3HesR4HTcy6hrNdc19SuY1DWek1Zv7vWB+XfYWFhUucsetejwYMHO9e53bp1g9lsRmRkZEifEwN+qkVanqdyPffmcDjQsWPHkO+35ORkdOzYUfNziYqkpCTn/goAN954oy65RqD0nV7bqjEY4Rw9hQ7XfSopKUmTsdc76gpEtWiB3lFXSH1couaIF+c19MILL6C6uho1NTX461//itzcXMyYMUOTLJvNhurqajzxxBNITEzE66+/jsTERE2y9JCYmIiVK1eipqZG80laQkKCczslJCRomqU1k8mEadOmub0DTVl0z549u84704JhNpsxa9YsAD+NP5vNBgB45pln6nxELTUOi8WC9PR02O121NTUoKamxrmtZsyYIe0Vyq5jT8my2+1ex6SMrNmzZ6O2ttatPmiRpZdRo0YhMzMTNputTt3j/tQ86VnPjUbPvuO+G5xRo0YhKyurzsfbhnI9N+IxyoiU7SGEcNt3Q3k76TkXMxrPPlL6TwgR0n3HehQ4PecSynrNdU2tjMGMjAxp6zVl/e5aH5R/z5kzR+qcRe969MQTT6C6uhrV1dV44YUXkJubi3Xr1oX0OTHgp1qk5Xkq13NvNpsNWVlZId9viYmJUr8SwpeEhATnuZacnBwsXLhQl1wjUPrOyBfnjXCOnkKH6z6VkJAQ8NizORz1/ndj69YYfW1H3NCqFWrs9gbvq/xHRN7xjCGRwcTExCAlJcW54DWZTEhJSUGnTp2kZw0YMABxcXFut/Xq1Qv9+vWTnkWBGzlyJNq1a+d2W/v27TFixAipOXqOPT2z9ML9iTwZcZzrhcfC0GHEcW7ENhmREbeTEdukF6P2nVHbpQc9+06v9ZqecxaOPSIiotC0+vARvH7wUIP/rTh0GCsOHfZ5v9WHjzR2c4iaLF6cJ9LZmjVrcPvtt2PNmjWaZaSmpiI6OhoAEB0d7fzYXS1kZmY6X2VvNpsxZ84czbKKioowfvx4FBUVaZbRGFl6WLx4sdvPixYt0iRHz7GXmpqKNm3aAACuuOIKTbP0ouf+BOg3zo24786fPx8jR47E/PnzNc3Rc5/Skx7bSc8akZmZ6faz1vuu0eg5zvWqEXq2SY+5pVEZscYasU160bvvjFiP9KTXXEKvvtNrvZaZmel2wVzLOUtqaioiIyMBAC1btjTM2CMiIiIi49N6vcGL80Q6Ki8vR3Z2NhwOB7Kzs1FeXq5JTmRkJNLS0tChQwekpaU5F8RaaNu2LVJTU2E2m5Gamoq2bdtqklNVVYWlS5eitLQUS5cuRVVVlSY5emfpJSoqCuHh4QCA8PBwREVFaZKj59hz5fmRyKFKr/0J0G+cG3HfLS0txfbt2wEA27dvR2lpqSY5QOPtU1pqjBprlBphVHqNcz3Hnl5t0mtuaVRGrLFGbJNe9Ow7I9YjPenVf3r2XURERIM/y8xR2hEZGalZDgBUV1c7t82lS5dQXV2tWRYREREFLjIyEhs3blT1X05OjvPvcnJyVP+dEeag1Hzosd7gxXkiHWVmZsLx/79rxeFwYO7cuZplDRkyBO+88w6GDBmiWYZi4sSJ2Lx5MyZOnKhZRnZ2NsrKygAAZWVlbhOBUM7SS3Z2Nmw2GwDAZrNp2ia9xl52djYqKysBAJWVlYbYToA++xOg3zg34r775JNPuv2cnp6uSY5Cz3quBz3Hnl41wvOd81oe341Kj3Gu9/FdjzbpObc0KqPVWMCYbdKLnvNYo9UjPenZf3r1nV5ziezsbOfJxaqqKs3nR8oLJIUQPEYRERE1USaTCS1btlT1n+tF9sjISNV/p3xyD1Eo0GO9wYvzEgkhcOnSJed/rq+mqKqqcvsd38HV/OzevRsHDhxwu23//v3YvXt3Iz2j0FFSUoKcnBy3hX1OTg5KSkpCOksvbBN50qv/jLjvbtmyBT/++KPbbadPn8aWLVuk5hiVEccej++hwYjHDY49otBkxHqkJyP2n171nPMjIiIibfH6EFHo02vOzIvzkgghkJ6ejrvvvht33303xowZgwkTJsBiscBisWDChAkYM2aM8/cZGRlSCnBBQQGmT5+OsLAwhIeHo7CwEBkZGbjrrruQkZEhoWV1sywWi9THVaOwsBBTpkxBQUGB1Mf11n9ayM/PR2ZmpjPHtQ8XLFjgfMcT1SWEwLJlywAAFovF2X/K7TInMq5ZCmUfnjdvXkhOmozeJq3HhBF5jgmlD00mk9T+U3LMZrNb3dN639VyTNjtdmRlZTkfX8mKiIhAVlYW7Ha7lByj0nvseTKZTJg+fTry8/Ol5ACX36n83HPPOccBj+9NkxGPhQ6HAwsWLADgXvcsFgsyMzOljnMikofz2ODoNZfQk+tcwvN8gcy5hJ7zI+X8h9IO17Gu1fxIyViyZIkm544A/c6J6XWeSlFYWOjcPlqde2sMypjQsv8KCgowefLkOuuAUOc6JoyQ4y3XKOPcyEJxOzV0fQgAUlJSnL+TeX3IlR61j8jIhBCYN28eWrRo4XZ80mK9xovzErl+NIfFYoHZbHaeJFP+LVtubi5OnjwJs9kMs9mMvLw8HDp0CACc/5ed1RgTzry8PJw4cQK5ublSH9db/2lB+dgLJce1DysqKrBz505Nco2guLgYu3btgt1ud9uX7HY7du3aheLiYk2yFBaLBSaTCSUlJVKz9GL0Nmk9JozIc0wofWgymaT2n5JjMpnc6p7W+66WYyI/P9+tPa59ZzKZeDHMB73HnueLJUwmE2pqarB+/XopOQCwc+dO2Gw2Zzt4fG+ajHgs3LlzJyoqKgDUXXcA0PRjiokocJzHBkevuYSeXOcSnucLZM4l9JwfKccg14vzSru0mh8pGTt27NDk3BGg3zkxvc5TKfLy8pzbR6tzb41BGRNa9l9ubi4qKirqrANCneuYMEKOt1yjjHMjC9XtVN/1Ib3oUfuIjKy4uBglJSV1ju1arNd4cV4Sk8mEhQsXYuPGjdi4cSMeffRRdOzYEY8++qjbv5XfL1y4UMr3bCQnJ6Njx45wOBxwOBxISkrCjTfeCADO/8uiZDXGOwOTkpJw7bXXIjk5Werjeus/LaSkpACAM8e1D6OiohAfH69JrhHExsZi4MCBMJvNsNvtzv6zWCwYNGgQYmNjNclS2O12CCHQuXNnqVl6MXqbtB4TRuQ5JpQ+FEJI7T8lx7Puab3vajkmRo0aBSGE8/Fd+04IgVGjRknJMSq9x55r3QMuv8o1PDwcY8eOlZIDAPHx8QgLC3O2g8f3psmIx8L4+HhERUUBgFvdU8agMvckoqaF89jg6DWX0JPrXMJz3ixzLqHn/Eg5BintcB3rWs2PlIzBgwdrcu4I0O+cmF7nqRRJSUnO7aPVubfGoIwJLfsvOTkZUVFRddYBoc51TBghx1uuUca5kYXidmro+pBym+t/sq4PudKj9hEZWWxsLGJiYuoc27VYr/HivEQmkwktW7ZEy5Ytcdddd2HFihW466673P6t/F5W4U1MTERWVhZsNhtqamqQkJCAhQsX4sMPP8TChQulZHhmNcaEMyEhAa+//joSExOlPq63/tPCqFGjkJmZ6cxx7cNnnnmmzgKZfmIymTBt2jSYTCbY7XZn/7nerkWWQjnRPXv2bOkTJj0YvU1ajwkj8uwnpQ+FEFL7T8kRQrjVPa33XS3HhMViwfTp052Pr2RVV1cjIyPDUO+W0ILeY8/z8YQQWLJkidQXUZjNZjz77LPOccDje9NkxGOh2WzGrFmzAMCt7tntdsybN48vFiJqojiPDY5ecwk9uc4lPM8XyJxL6Dk/Us5/uF6cV9ql1fxIyXjiiSc0OXcE6HdOTK/zVIqEhATn9tHq3FtjUMaElv2XmJiIlStX1lkHhDrXMWGEHG+5RhnnRhaq26m+60PKba7/aTFv0aP2ERmZyWTC7NmzUVtb63Z80mK9xjOGRDoZMGAA4uLi3G7r1asX+vXr1zhPKITExMQgJSXFWfxMJhNSUlLQqVOnkM7SC9sUvKKiIowfPx5FRUWaPL7e9Oo/I+67I0eORLt27dxua9++PUaMGCE1x6iMOPZ4fJdD6zqrjAlXoX4s5NgjCk2NMTc30lzWiGsbveo550dERERERA3Ta87Mi/NEOsrIyHD7OT09vZGeSehJTU1FdHQ0ACA6OlrTj2sdPXq0W/ENpY9Qqo8R26TXmKiqqsLSpUtRWlqKpUuXoqqqSpMcvenVf3ruu3plvfTSS24/v/jii5rkGJURx15mZqbzXWBmsxlz5szRLMuI9Kqzo0ePdttORjgWcuwRhSY9j1FGnMvq2X96efrpp91+njlzpiY5evYdz38QERERUSjSY87Mi/NEOvL8qoFFixY10jMJPZGRkUhLS0OHDh2QlpaGyMhIzbI2bNgAh8MBAHA4HMjNzdUsSy9GbJNeYyI7OxtlZWUAgLKyMuTk5GiSoze9+k/PfVevrE8++cTt561bt2qSY1RGHHtt27ZFamoqzGYzUlNT0bZtW82yjEivOrthwwYIIQBc/hhfIxwLOfaIQpOexygjzmX17D+95Ofnu/1cUFCgSY6efcfzH0REREQUivSYM7eQ/ohkKEIIt1fW1/dv4PKADYXveGusNu3evRsHDhxwu23//v3YvXs3BgwYICXD6IYMGYIhQ4ZomlFSUlLnhFVOTg5uu+02xMTEaJqtFSO2SaH1mFD6zvVijlH6DtBnn9IzR48sI+9PejLi2Js4cSImTpyoS5aR6FVnjVzPOfaIQpOeaxsj1j49j/Fa03t+qUff8fwHGZHn+UTAGOdJ9eLP+ViA/UdEoY/HjdCm9ZyZF+cNJDw8HCkpKbjxxhvrvEI5EEIIpKen45tvvnHeFhYWhoiICDgcjjof5RAXF4eFCxc26QLirU0WiwUREREQQuD++++H3W53/k5Wm/Lz87F8+XJERESgtrbWLWPBggVYt26d8yNJqfEIIbBs2TK32ywWCywWC+bNm4fly5c36fHtjWeblPYoty9YsCDk2qQXpY/MZjMsFgvsdjvsdjv7rhnj/kQkV35+PlavXg2z2ew2N5K9T+mVQ0TUlHAuGxpc55fK3DLUt5PD4cBzzz2H8PBwmEwmt3Mgss9/FBQUYO3atc5zLUZQUFCADRs2OMeCHllhYWEwmUyYPHkyxo0bh8TERE1ztVZYWIjw8HCp/eftfKKn+++/363eyjxPqkWbPBUUFCA3Nxd33HEHgMs1afr06Rg9enTQY8Kz/5R6p/SXt48LltV/eu5T3rJzc3ORnJwc8vuVXiwWC1q0aGGYeqQnPeqEIiwsDGazGUuWLMFTTz2leV4oauzjBjV9vBpoIMpOe+jQIemPqTCbzTCZTCF9IdmzTRaLxdkmi8WiSabyKniTyVQno6KiAjt37tQkl/xTXFyMXbt2uU1ilPFRUlKC4uLiRnx2gfFsk8Vice7Hu3btCsk26UXpO8/6YLfb2XfNFPcnIrnWr1+PmpqaOnMz2XVWrxwioqaEc9nQ4Dq/VOaWyknaUN1OO3fuhM1mc86TXc+ByD7/kZubi4qKCq/nWkJVbm4uTp48qUt7lCyz2Qyz2YyKigpDfO1PXl6eJuf4fF0scd2HZdOqTa5yc3Nx4sQJ5OXlAbjcnpMnT0obE679p2VfedJzn/KWfeLECUPsV3pRzsMapR7pSY86oVCO8Tt27NA8K5Q15nGDmj6+c95AhBAwmUy48cYbpTyeyWTCwoUL3T5eY8mSJdixYwcGDx6MJ554wu3+ofCxG97aVFhYiHXr1gEA7r33XiQkJDh/J6tNKSkpWL58OYQQdV69FhUVhfj4+KAzKHixsbEYOHAg9uzZ4/x+drvdDpPJhM6dOyM2NraRn6H/PNukjD8hBAYNGhSSbdKL0nd79+4FALcLsv3792ffNUPcn4jkGjt2LFavXo2LFy+63S67zuqVQ0TUlHAuGxpc55fKNlIu1IfqdoqPj0dYWBhsNhtMJpPbORDZ5z+Sk5Oxdu1alJeX6/6OWK0kJydjw4YNurwwQ8kqKSmByWTClVdeieTkZM1ztZaUlIQVK1ZIHRPezid6KiwsRF5eHpKSkpCQkCD1PKkWbfKUnJzsfOf8smXLYLfb0alTJyljwrP/PPvKG1n9p+c+5S1beec8qaOch23bti37zU961AmFw+GA2WzG4MGDNc8KVY193KCmzySULx+jkHXp0iXcfffdAICNGzeiZcuWjfyM5DBau3bv3o2ZM2fWuf1Pf/oT+vXrp/8TIq9KSkrwyCOPuE1kWrRogVWrVqFTp06N+MwCZ8Q26YV9R544Jojk0muf4r5LRM0Ra19oMOJ20vP8h57njvTKYptCJ0sv7L/gcJw3/Rw9s4w4xgH2H1GoCd3PJicKMQMGDEBcXJzbbb169eKF+SYmJiYGKSkpzlepmUwmpKSkhOxJEcCYbdIL+448cUwQyaXXPsV9l4iaI9a+0GDE7cTzH0RERERE9ePFeSIdZWZmui2458yZ08jPSI6ioiKMHz8eRUVFjf1UpEhNTUV0dDQAIDo6GikpKZpl6dV3erbJaPTuu/nz52PkyJGYP3++pjkUuNTUVLRp0wYA0KZNG8PsT0ar5YAx22REetVZox4LOc6Dw/4jozNq7TOa1NRUREZGArj8Uc5GWINmZmbCbL582tFsNhvm/AcRERERUbB4cZ5IRxEREW4L7oiIiEZ+RsGrqqrC0qVLUVpaiqVLlzb4PSqhIjIyEmlpaejQoQPS0tKc20w2PftOrzYZkZ59V1paiu3btwMAtm/fjtLSUs2yiFwZsZYbsU1GpVedNeKxkOM8OOw/ag6MWPuMqLq62lmDqqqqUF1drUmOnnWvbdu2SE1NhdlsRmpqKtq2batZFhERERFRKOHFeSIdZWdnuy24c3JyGvkZBS87OxtlZWUAgLKyMkO0CQCGDBmCd955B0OGDNEsQ+++06NNRqVX3z355JNuP6enp2uaR4HJzs5GZWUlAKCystIQdc+ItdyIbTIyveqs0Y6FHOfBYf9Rc2G02mdEmZmZEEIAAIQQmDt3riY5ete9iRMnYvPmzZg4caKmOUREREREoaRFYz8B8p8Qwu3VzfX9WxEZGen8KPWmyrNNQMPtCoU2eSopKUFOTo7bgjsnJwe33XYbYmJiGvnZBcaIbdIL+448bdmyBT/++KPbbadPn8aWLVswcuTIRnpW5MmI+y7bRBSaOM6Dw/4joqZi9+7dOHDggNtt+/fvx+7duzFgwABpOUape0Y8J2ZE3E7B8af/2HdEDWM9Cg7rUfMlhMC5c+fcbnM4HDh//rzqx7jiiiucX3OkuPLKKzlOwIvzIUcIgfT0dHzzzTcAAIvF4vzPbrd7/V6yuLg4LFy4sMkOeM82Ab7b1dTb5EkIgWXLlsFsNjvbZLfbnbcvWLAgZNqiMGKb9KL0kUIZ6+y75stutyMrKwvh4eEQQsBkMjn/n5WVhREjRsBisTT202z2XPdd12NUKO+7RqzlnjUW+Gl7zZs3D8uXLw+5NhF54lwiOOw/ImoqHA4HnnvuObd1gDIfW7BgAdatW1fnhGYgvM2PAMBkMmH69OmYNGkSRo0aFXSO1ox4TqyxFRYWIjw8HCaTCVOnTsXZs2cxdOhQzJgxI+DH9Haez9X999/vtvYAuJ1c+eq/8ePHw2w2w+FwwGazadJ3yn5VWFiIu+66S9rjNgWFhYX46KOPkJycjMTExMZ+On4rKChAbm4uunXrhvDwcOc+RN41tD9ZLBZMmDDBrRYBrEeu/D3usu+Mw9exyJPruPBVlzhOLuPH2ocg10FrsVicJ9RDmeeOaJR2KYqLi7Fr1y6YTCa3dtntduzatQvFxcWN/Az9Z8Q26UXpO+VApYx3k8nEvmum8vPznfuS538mkwn5+fmN/RQJ7vuu63EqlOueEWu5Z40FLtdZk8mEkpKSkGwTkSfOJYLD/iOipmLnzp2w2Wxu839lPlZRUYGdO3dKyfE2PwIun4upqanB+vXrpeTowYjnxBpTXl6e8xj4448/wm6344svvgj6cRs64c7t5ltD/adsLxkv3KmPso3y8vI0y2gseXl5OHHiBHJzcxv7qQQkNzcXJ06cwI4dO7gfqVTf/sRapA6Pu82XPxfPOTb8x3fOhxiTyYSFCxc6PzKksLAQeXl5SEpKQkJCgte/aeofJ+LZJsB3u5p6mzzFxsZi4MCB2Lt3LwC4nQjs378/YmNjG/PpBcSIbdKL0nd79uyBw+Fw9p0QAoMGDWLfNUOjRo3C8uXL4XA46rxzXggREu9iaQ5c911lv1Uu1Idq3TNiLfesscDldplMJnTu3Dkk20TkiXOJ4LD/iKipiI+PR1hYGGw2m9s75wEgKioK8fHxUnK8zY+Ay3UvPDwcY8eOlZKjNSOeE2tsSUlJWLFiBUwmE9q3b+9853wwvJ3nc+Vtu3E7/cRX/y1ZsgQ7duzA4MGD8cQTT2jSd0odSkpKkvq4TUFSUpLznfOhKDk52fnO+c8++4zvnPehof2pvmMI69FP/D3usu+MQ9n2aj/W/vPPP8c//vEPDBs2DLfccovzdn6sff1MQvmyKSLSVElJCR555BG3SVOLFi2watUqdOrUqRGfWeCM2Ca9sO/I05YtW/Dyyy/Xuf2pp57CiBEjGuEZkTdG3HfZJqLQxHEeHPYfETUVu3fvxsyZM+vc/qc//Qn9+vWTlsO6F7xLly7h7rvvBgBs3LgRLVu2DOkcvbP0YsQ26cmI/cd9t+nn6J1lROw/otDCj7UnAlBUVITx48ejqKhIs4yYmBikpKQ4XxVkMpmQkpKi2SLYiG0yEvYdeRo5ciTatWvndlv79u15Yb6JMeK+yzZRc6LH/EgvHOfBYf9Rc6JX7TNSjdXTgAEDEBcX53Zbr169pF6YB1j3iIiIiIiaCl6cp2avqqoKS5cuRWlpKZYuXVrvx0bJkJqaiujoaABAdHQ0UlJSNMkxYpuMaPTo0W4nRkL1I7VInsWLF7v9vGjRosZ5ItQgI9Y9tomaAz3nR3rhOA8O+4+aA71qnxFrrJ4yMzOdH/lpNpsxZ84cTXK4BiUiIiIiany8OE/NXnZ2NsrKygAAZWVlyMnJ0SwrMjISaWlp6NChA9LS0hAZGalJjhHbZEQbNmxwft+fw+FAbm5u4z4hanQdOnTAr371KwDAr371K3To0KGRnxF5Y8S6xzZRc6Dn/EgvHOfBYf9Rc6BX7TNijdVT27ZtkZqaCrPZjNTUVLRt21aTHK5BiYiIiIgaX4vGfgJEjamkpAQ5OTkQQgAAhBDIycnBbbfdhpiYGE0yhwwZgiFDhmjy2IAx22REynZypfV2otDwzDPPNPZTIBWMWPfYJjKyxpgf6YXjPDjsPzIyvWqfkWusniZOnIiJEydq9vhcg/pPCOH2KRD1/Ru4/IIv5VMJtMzRMyuYHD0ZsU168ew7IPT7T882GXHfNWKbjMiI+y5Rc2MSyuqJqJkRQuCxxx7D8ePHUVtbC7vdDgCwWCzo168fFixYEHIHLSEEZs2ahX379sFkMsFut8Nut4d0m4xI2U5ff/2127hr0aIFOnXqhOXLl3M7ERERSeJ63AUuH3OV4y/nR0RkVPn5+Vi9ejUuXboEm83mvF322pA1NjTwXIH/hBBIT0/HN998U+d3FovFOdaV8R4XF4eFCxf63Y/15XjLUMjKaigjmBw9NdQm5WeTyeQ87xcKbdKLnmNPL97apNU497dGaJXlLY9tMjZ/aznQ9PddouaIH2tPzVZxcTFKSkpgMplgsVict9vtduzatQvFxcWN+OwCU1xcjF27dsFkMsFsNjvbFcptMiJlO7lOmJQFY0lJCbcTERGRRK7HXYvF4pwjcX5EREa2fv161NTU1DkJK7v2scaGBp4rCEx9FzFcx7pWObIzvGVplaG3+tqk/NvzvB/9RM+xpxfPNmnZHr1qRENZsvOM2CYjMmItJ2pu+M55arYaeud8//798fzzz4fcq8mUV8Pv3bsXZrPZ7dXwodomI1K20549e5zf96e8cz4mJgavvfYatxMREZEkrsdd5eSsMu/j/IiIjEp55/zFixdRW1vrvF322pA1NjTwXEFgvH1sMAAUFhYiLy8PSUlJSEhIACD3o53ry1DIymooI9gcPdXXJgBYt24dAODee+9FQkJCyLRJL3qOPb14tknLce5PjdAqy1se22R8/tRyIDT2XaLmhhfnqVkrKSnBI4884vYO5hYtWmDVqlXo1KlTIz6zwBmxTUbE7URERKQfHneJqDnSq/axxoYGbiciIiIioqbB0B9rf/jwYTz00EPo168fhg4dij/96U+oqalp7KdFTUhMTAxSUlKcrxwzmUxISUkJ6YWpEdtkRNxORERE+uFxl4iaI71qH2tsaOB2IiIiIiJqGgx7cb68vBwPPvggbDYbli5divT0dKxbtw4vvvhiYz81amJSU1MRHR0NAIiOjkZKSkojP6PgGbFNRsTtREREpB8ed4moOdKr9rHGhgZuJyIiIiKixmfYi/PZ2dm4cOECli1bhl/+8pf47W9/iz/84Q/Izs7GqVOnGvvpURMSGRmJtLQ0dOjQAWlpaYiMjGzspxQ0I7bJiLidiIiI9MPjLhE1R3rVPtbY0MDtRERERETU+Az7nfPjxo1D27Zt8eqrrzpvq6ioQHx8PBYsWIAxY8Y04rMjIiIiIiIiIiIiIiIiIqLmxLDvnD9y5Ai6devmdltUVBTat2+PI0eONNKzIiIiIiIiIiIiIiIiIiKi5qhFYz8BrVRUVCAqKqrO7W3btkV5eXnAj1tdXQ273R7MUyMiIiIiIiIiIiIiIiIiIoNo1aqVqvsZ9uK8Vvbv39/YT4GIiIiIiIiIiIiIiIiIiJqIgQMHqrqfYS/OR0VF4fz583VuLy8vR9u2bQN+3F69evGd80RERERERERERERERERE5BfDXpzv1q1bne+WP3/+PE6fPl3nu+j9EREREexTIyIiIiIiIiIiIiIiIiKiZsbc2E9AK7/61a/w5ZdfoqKiwnnb5s2bYTabMXTo0EZ8ZkRERERERERERERERERE1NyYhBCisZ+EFsrLy3HHHXega9eumDJlCk6dOoUXX3wRd955J2bPnt3YT4+IiIiIiIiIiIiIiIiIiJoRw16cB4DDhw/jueeew549e9C6dWvcfffdSE9PR3h4eGM/NSIiIiIiIiIiIiIiIiIiakYMfXGeiIiIiIiIiIiIiIiIiIioKTDsd84TERERERERERERERERERE1Fbw4T0REREREREREREREREREpDFenCciIiIiIiIiIiIiIiIiItIYL84TERERERERERERERERERFpjBfniYiIiIiIiIiIiIiIiIiINMaL80RERERERERERERERERERBrjxXkiIiIiIiIiIiIiIiIiIiKN8eI8ERERERERERERERERERGRxnhxnoiIiIiIiIiIiIiIiIiISGO8OE9ERERERERERERERERERKQxXpwnIiIiIiIiIiIiIiIiIiLSGC/OExERERERERERERERERERaYwX54mIiIiIiIiIiIiIiIiIiDTGi/NEREREREREREREREREREQa48V5IiIiIiIiIiIiIiIiIiIijfHiPBERERERERERERERERERkcZ4cZ6IiIiIiIiIiIiIiIiIiEhjvDhPRERERERERERERERERESkMV6cJyIiIiIiIiIiIiIiIiIi0hgvzhMREREREREREREREREREWmMF+eJiIiIiIiIiIiIiIiIiIg0xovzREREREREREREREREREREGuPFeSIiIiIiIiIiIiIiIiIiIo3x4jwREREREREREREREREREZHGeHGeiIiIiIiIiIiIiIiIiIhIYy0a+wkY3X/+8x/U1NQ09tMgIiIiIiIiIiIiIiIiIiIfwsPD0b17d00em++cJyIiIiIiIiIiIiIiIiIi0phJCCEa+0kQEREREREREREREREREREZGd85T0REREREREREREREREREpDFenCciIiIiIiIiIiIiIiIiItIYL84TERERERERERERERERERFpjBfniYiIiIiIiIiIiIiIiIiINMaL80RERERERERERERERERERBrjxXkiIiIiIiIiIiIiIiIiIiKN8eI8ERERERERERERERERERGRxnhxnoiIiIiIiIiIiIiIiIiISGO8OE9ERERERERERERERERERKQxXpwnIiIiIiIiIiIiIiIiIiLSGC/OExERERERERERERERERERaYwX54mIiIiIiIiIiIiIiIiIiDTWorGfgBH88MMPeOONN7B3714cPHgQ3bp1Q15envP3x44dw4gRI7z+bXh4OP79739LyQGAS5cu4dVXX0V+fj5+/PFHdOzYEaNHj8YjjzyCFi3Ub241WTU1NcjKysLGjRtRUVEBq9WK3//+9xgyZIjqnIKCAnz44Yc4cOAAKioqcN1112HChAkYO3YsTCaT837vvfceVq1ahePHj6Nr165IT0/HsGHDVOeozcrPz0dBQQH27t2LU6dO4Y9//CMefvhhqTmVlZV488038emnn+L7779HeHg4+vTpg/T0dHTv3l16m1566SVs374dx48fh8lkQteuXTFp0iTccccdUnNcffzxx5g6dSp+9rOf1Rk3MrImTJiAnTt31vnb/Px83HDDDVLbVFFRgSVLlmDz5s0oLy/HNddcg/vvvx+TJk2S1iZZNUJNm2TVCDVZMmrEp59+ipUrV+LQoUOorKzENddcg9tuuw3Tpk3DFVdc4bzf1q1bsXjxYvzvf/9Dp06d8Oijj2Ls2LGqc9RmffHFF/jggw+wd+9eFBcXY9y4cZg9e7ZfOWqy7HY7Vq9ejW3btuHQoUMQQqB79+6YPn06Bg0aJLVNq1atQl5eHo4dO4ba2lrExsYiJSUF48aN87p/B5Plav/+/bjnnnsQGRmJPXv2SM2ZOXMmNmzYUOdvV65ciV/96lfS21RdXY3ly5dj48aNKC0tRbt27ZCYmIinnnpKWk5Dx4fPPvsMHTp0kJaljL/169fjxIkTaNeuHUaOHIlp06ahdevW0nKEEFi1ahXeffddlJaW4vrrr8fvfvc7jBo1SlWGNxcuXEBiYiJOnTqF999/H71793b+TsZcQk2WjLmEmiyZ8wlfbZIxl1Cb5SqY+YSvHBlzCbVZgJz5REM5suYSatskaz7hK0fGXOKDDz7A008/Xef2yZMnY8aMGc6fZdQINVkyaoSvHJn1QU2bZNQItdtJEUx9UJMlo0aobZOM+uArS2aNUNMuGTVCTY6MGuFqw4YN+Otf/4rDhw+jVatW6N27N5YtW4bIyEgActYcvnJkrTd8ZYWFhUlZb6hpk6z1hposV4GuN9TkyFpvqG1TsOsNNTmy1htqsmSsN9TkyFpv1HdMAICFCxc6j3cy5hJqsmTMJXzl3HrrrdLmEmraJGMuoXY7KYKZS6jJkjGXUNsmGXMJX1l9+/aVNpdQ0y4Zcwk1ObLmEp988gmWL1+OQ4cOoXXr1hg4cCBmzJiB2NhYt/vJqBNqsmTUCV85Mtccatok67yE2m2lCLRWqMmRdV5CbZuCrRW+cmSuOdS0SUad+Mc//oElS5bg4MGDiI6OxtixYzF16lRYLBa3+8laB7jixXkJDh48iE8//RR9+/aFw+GAEMLt9x06dEBOTo7bbUIIPPLIIxg8eLC0HACYN28etmzZgoyMDNxwww34+uuvsWTJEly6dAnp6elSsxYsWICNGzfiySefRNeuXfHBBx9g8uTJyMnJQVxcnKqcNWvWICYmBjNnzsRVV12FL7/8Es8++yxOnjyJadOmAQA++ugjPPvss3jssccwePBg5OfnY9q0aVi7di369eunuk1qsjZv3ozi4mL8+te/rrPNZOUcP34cOTk5GDt2LJ588klUV1dj9erVSElJwfr16/0qvGradOHCBdxzzz3o1q0bTCYT/v73vyMjIwMOhwN33nmntBxFVVUVFixYgHbt2qnvtACyBgwYUGch2rlzZ6k5Fy9exIQJE2CxWDBr1ixER0fj+++/R2VlpdQ2yaoRatokq0aoyZJRI86dO4c+ffpgwoQJuPLKK3Hw4EEsXboUBw8exOrVqwEA//rXvzBt2jT89re/xaxZs7Bjxw783//9H1q3bo3bb79ddZvUZH322Wf47rvvcNNNN6G8vFz1Y/ubVVVVhRUrVmD06NGYPHkyzGYz1q1bhwceeABvvPGG6kWCmjadP38eo0aNws9+9jNERESgqKgI8+fPR2VlJR577DFpbXIlhMBzzz2Hq6++GhcvXlTfcX7kxMbG4uWXX3b7W38vuKnJcjgc+N3vfofi4mJMmzYNnTt3xvHjx/G///1Pao63Y9JTTz2Fli1b+nWiTE3Wa6+9htdeew3Tp09Hnz59cPDgQSxcuBClpaV45ZVXpOWsWrUKixcvxuOPP45+/fph69atyMjIQGRkJIYPH666Ta5effVV2O32OrfLmkuoyZIxl1CTJXM+0VAOIGcuoTZLEex8Qk1OsHMJtVmy5hMN5ciaS6jJAuTNJ3zlyJhLKFatWuX2wqprrrnG+W/ZNaKhLJk1or4cLepDQ22SWSMaylHIqg++smTViIZyZNeH+rK0qBENtUtmjWgoR2aNeO2117By5Uo89thj6NevH86ePYuioiJnbZK15vCVI2u94SvLbrdLWW+oaZOs9YaaLEUw6w21OTLWG2qyZKw31OTIWm+oyZKx3lCTI2u9MWfOnDp1+a9//Su2bNni3FdkzSXUZMmYS/jKkTmXUNMmGXMJNTmKYOcSarOCnUuoyZE1l/CV1aZNG2lzCTXtkjGXUJMjYy7x1VdfYdq0aUhOTkZ6ejrOnTuHrKwsTJo0CZs2bXK+0EpGnVCbFWydUJMjq06obZOMOqE2SxForfAnJ9g6oTYr2FqhJkfWmkNtm4KtE19//TV+97vf4Y477kBGRgYOHTqExYsX49KlS27bRNY6oA5BQbPb7c5/P/XUU+KOO+7w+Tc7duwQVqtV5OfnS8ux2+2ib9++YsmSJW63//GPfxQjRoxQnaMm6+TJk6JHjx7irbfect7mcDhEUlKSeOyxx1TnlJWV1bntmWeeEQMGDHA+h5EjR4qMjAy3+6SkpIhHHnlEdY7aLNd2W61WsWrVKr8y1ORcuHBBXLx40e33lZWVIj4+XsybN09qVn1SUlLEQw89pEnO4sWLxbhx41TvC4FkjR8/Xjz66KN+P7a/OYsWLRIjRowQFy5c0DzLUyA1wleOzBrhK0tWjfAmJydHWK1WcfLkSSGEEJMmTRIpKSlu98nIyBCJiYlB5XjLct1ew4YNE3Pnzg06w1tWbW2tOHfunNvva2trxe233y6mTJkiLac+GRkZYuTIkUHlNJT13nvviYSEBPHKK6+Ifv36Sc8JtP4EkrVu3ToxcOBAcerUKU1zPBUXFwur1SpWrlwpPes3v/mNeOqpp9zuk5WVJXr16iVsNpuUnOrqatG/f3/xwgsvuN1nypQp4s477wzo8Q8dOiT69esn3n33XWG1WsW+ffucv5M1l1CTJWMuoSZL5nyioZz6+DuX8Dcr2PmErxwZcwm1WbLmE75yPAUyl1CTJXM+0VCOrLnE+vXrhdVq9Tp3UciqEWqyZNQIXzky64OaNnnjb43wJyfY+qAmS0aNUJMjqz4Esp0CrRG+smTVCF85Mtcbhw8fFj179hTbtm2r9z4y1hxqcmStN3xlyVpvqGmTN4GsN/zJCma9oSZH1npDTZaM9UYg2ynQ9YaaLBnrDV85Wqw3XA0fPlxMnjzZ+bPs9UZDWbLXG95yZK81GsqqTzDrDV85MtYavrJkrzfqy5G51vCV5SnY9UZ9WbLXG/XlyJpLPPvss2L48OHC4XA4bysqKhJWq1X885//dN4mo06ozQq2TqjJkVUn1LbJG3/rhL9ZgdYKtTky6oTarGBrRaDbKZA6oSZLRp2YNGmSGD16tNttb7zxhoiLixOnT592u58W1x74nfMSmM3+d2NeXh7atGnj1ys1feUIIVBbW1vn44OvuOIKr+98Dybru+++g91ux9ChQ523mUwm3HLLLfj8889RU1OjKufqq6+uc1uPHj1QWVmJixcvori4GN9//z0SExPd7jNq1CgUFRWpzlGTBQS2Lf3NadWqFVq2bOn2+9atW6NLly4oLS2VmlWfK6+8EjabTXrO0aNH8eabb+KZZ55R/diBZgVLTc7777+PsWPHolWrVppneQqkRvjKkVkjfGXJqhHeXHnllQAAm82GmpoafPXVV3VepTZq1CgcPnwYx44dCzjHMwuQUyPUZFksFrRt29bt9xaLBd27d/e7TjSUU5+rrrrKrxrhT1ZFRQVeeeUVPP300wgLCws6o74crXhmvffee7j99tv9fjeJvzme8vLyYDKZkJSUJD2rtrYWbdq0cbtPIHWioZzi4mJcuHDBrUYAwC233IL//Oc/OH78uN+PP3/+fKSmpqJr165ut8ucS/jKAuTXifqyZM4nGsqpj79zCX+yZMwn1OTI1FCWrPmErxxPgcwl1GTJnE80lKPlXMKVFjWiIVrOJRSy60MggqkRDZFVH5oKmfXBX8HWiPrIrhH1kVkjPvjgA3Tu3Bm33nqr19/LWnP4ygHk1QhfWbLWG2ra5E0g6w21WcGuNwJtUyDUZMlYbwTSpkDXG2qyZKw3fOVosd5Q7N69G8eOHXO+U1PLuYRnFqDNXMIzR8u5hLc2eRPsXKK+HC3mEmrbpEWOVnMJNW2SNZfwzNJqLuGZI2suUVtbi9atW7t9VYvr1/kB8uqEmiwg+DqhJkdWnVDbJm/8rRP+ZAVTK4Jpk1ZZwdaKQNsUSJ1QkyWjTnz77bde5wk2mw2ff/45AHnrAG94cb4R2Gw2bNmyBQkJCYiIiJD2uBaLBWPGjME777yDffv24cKFC/jyyy+xceNGjB8/XloOAOcBIzw83O328PBw1NTUBDUod+3ahWuuuQZt2rTBkSNHAKDOybobbrjBeXI/GK5ZWvKVU1FRgYMHD6Jbt26aZCnFqqKiArm5ufjiiy8wbtw46TnPP/887r77bvz85z8P6rHVZO3cuRP9+vVD7969MX78ePzzn/+UmnPs2DGcPn0aV111FR577DH06tUL8fHxeOaZZ3DhwgWpWZ5k1gjXHK1rhGuW7Bpht9tRXV2NAwcO4C9/+QuGDx+Ozp074+jRo7DZbHX2HeWjk5QaIiNLC/5k1dbWYu/evQHVCTU5tbW1qKysxLZt25Cbm4sHHnhAkzYtXrwYcXFxQX3Xt5qcH374AQMHDkSvXr0wZswYfPzxx9KzbDYbvvnmG3Tq1Al//OMf0a9fP/Tv3x/Tp0/H6dOnpbfJ1UcffYSbbroJHTt2lNomALjnnnvw4YcfoqioCBcuXMC+ffvw9ttvIzU11e/vkq4vp7q6GoD3GgEAhw8f9itn8+bN+O9//4upU6fW+Z3suURDWbL5mxXofEJNjqy5hJosGfMJNTmy5hINZcmcT/gzHoKdSzSUJXM+0VCO7LlEUlISevTogREjRuD11193fuStFuuN+rJk8ycn2PWGryxZNcJXjsz1hq8sWTWivhwt1htqx4SM9UZ9WbLXHPXlyKwRe/fuhdVqxauvvoohQ4agV69eSE1Nxd69ewFA2prDV45MgWQFst7wJyfY9YbarGDXG2pzZKw3fGXJWm8EMh4CXW+oyZKx3vCVI3u94SovLw+tWrVyfq+ulucuPbO0oiZH1rnL+rJkn7usL0eLc5f1Zck+d+mZo+W5S19jQua5S88src5feubImkuMGTMGhw8fxtq1a3H+/HkUFxdj4cKF6NmzJwYMGABAXp1QkyVDoDmB1Al/soKtE/5kBVMr/MkJtk6oyZJRKwIZE4HWCTVZMupEdXW1z3mCFtceFPzO+Uawfft2nDt3Tsq73TzNmTMHc+bMwT333OO8bcqUKXjooYek5lx33XUAgH379rldOPj6668BIODvRvvXv/6F/Px853c6KI8TFRXldj/l52C+g80zSytqcv785z/DZDLhvvvu0ySrqKjIOQZatGiBZ599Nqjvw/CWs3XrVuzZswebN28O+HHVZt100024++67cf3116O0tBRvvPEGHnroIbz99tvo37+/lJwff/wRAPDSSy9h5MiRWLlyJb7//nu88soruHjxIhYuXCi1Ta5k1QhvOVrVCM8s2TVi2LBhOHXqFADgl7/8pfN76LSoEfVlacGfrFWrVuHUqVOYOHGi9JwffvgBI0eOdP78+OOPB5TjK+vbb7/F+++/jw0bNgT02GpzevTogd69e+PGG2/E+fPn8e6772Lq1KnIysoKqPbVl3Xu3DnYbDasXLkSN910E5YtW4YzZ87gz3/+M9LS0pCdnS2tTa6+++47/Pe//8W8efP8bouarClTpqCmpgYPPfSQ89Wmd911F2bNmiUtp0uXLjCZTNi3bx9uvvlm5/0DqRGXLl3Ciy++iPT0dK8veJJZJ3xlyRRIViDzCbU5MuYSarJkzCfU5MiaS/jKkjWf8Hc8BDOXUJMlYz7hK0fWXKJ9+/ZIS0tD3759YTKZsHXrVixevBinTp3C7NmzpdYIX1myBJIT6HpDbVawNUJNjqz1hposGTXCV47M9Ya/YyKYGqEmS0aN8JUjc71x+vRp7N+/H//9738xZ84ctGzZEsuXL8ekSZOwZcsWaXXCV050dLTq56xFViDrDbU5MtYbarJkrDfU5Mhab/jKcjgcUtYb/o6HYNYbarJkrDd85chcb7iqra1FQUEBhg8f7nz3oVbnLr1laUFtjoxzlw1lyTx3WV+OFucu68uSfe7SW45W5y7VjAlZ5y7ry5J9/tJbjqy5xKBBg7Bs2TL8/ve/d9bNHj16YNWqVbBYLG6PFWydUJMlQ6A5gdQJf7KCrRNqs4KtFWpzZNQJNVkyakUgYyLQOqE2K9g6cd1112Hfvn1ut3nu/1pen+R3zkum5vsnpk+fLn7xi1+I2tpa6TkvvviiGDp0qFi3bp3YuXOnWLFihejbt29Q30lbX9b9998vhg0bJnbv3i3OnDkjVq1aJXr06CGsVqvYs2eP3zknTpwQt9xyi3jwwQed34uyceNGYbVaRWlpqdt99+3bJ6xWq9i1a1dAbfKW5UnG9zapyXn//feF1WoVH3zwgWZZ58+fF/v27RNffvmlePHFF0VcXJxYt26dtJyqqioxYsQIt+/okfG9TWr6T4jL33EzbNiwgL/Ly1vOrl27hNVqrfO9I+vWrRNWq1UcPXpUWpYnGTWivhwtakR9WTJrxLfffit2794t1q1bJ4YNGyYmTJggamtrxb/+9S+vj1dWViasVqv48MMP/W5PfVmeZHznvNqszz//XPTs2VMsXbpUk5zq6mqxb98+sWPHDrFs2TLRt29fkZWVJTXL4XCIlJQUt+/8W7JkScDfOa+274S4/D1E99xzT8DfBVRf1smTJ4XVahVDhw4V1dXVzvt/8cUXwmq1ii+//FKTNv3pT38ScXFx4uzZswG1x1fW22+/LQYNGiTWrFkjdu7cKdauXSvi4+NFZmam1Jw//OEPIj4+Xmzbtk2cO3dObNiwQfTp00dYrVaRl5enOuOVV14RY8aMcX4XlfJ9Vsr3VsucS/jK8hTMXMLfrEDnE2pzZMwlfGXJmk/423dCBD6X8JUlaz7hb5uCmUuoyZIxn1CTI3u94fr8e/ToIU6dOqXZesNblieZ3xPbUI6s9UZDWTLXG95ytFpveMvyJtj1hrccrdYb3rI8yVhvNJSlxZrDW46sGjFy5EhhtVrFt99+67zt7Nmzon///mLx4sXS1hy+cjwFs97wNyvQ9YbaHBnrDV9ZstYb/vadEIGvN3xlyVpv+NumYNYbarJkrDfU5Mhab7jatm2bsFqtYuvWrc7btJpLeMvyJGMuoSZH1lyioSyZcwlvOVrNJdT0nxDBzyW85Wg1l1DTJllzifqyZM8l6suRMZfYtWuXGDRokHjhhRdEUVGRKCgoEHfeeacYPXq0uHTpkhBCXp1Qk+UpkDoRSE6gdcKfrGDrhJosGbUikP4TIrA6oSZLRq0IpE2B1gm1WcHWiffee09YrVaxZs0acfbsWfHPf/5T3HrrraJHjx7i2WefFUIITa49KHhxXjJfO2plZaXo06ePeO6556Tn/Oc//xFWq1V88sknbre/+uqrolevXuL8+fPSsoQQ4ujRo2LMmDHCarUKq9Uqhg0bJpYuXSqsVqs4duyYXxnl5eUiKSlJJCUliYqKCuftyoHz8OHDbvf//PPPhdVqFYcOHfK7PfVleQp2gqsmZ9u2baJnz571LvBkZrl6/vnnxYABA/wujPXlvP766yIhIUGUlZWJ8vJyUV5eLjIyMkRiYqIoLy93W0Rq1abMzEwxZMgQaTmHDh0SVqtVvPjii273P3r0qNf9LJgsVzJqRH05WtSIhtoks0a4+vbbb4XVahUFBQXi4MGDwmq1iu3bt7vd53//+5+wWq3i008/DTjHM8uTjIvzarL2798v+vfvL/74xz9qmuNqzZo1okePHnUWDcFk5eXliZtuukkcO3bMWSf+/Oc/i379+ony8nJRVVUlJac+K1euFFartcFJsL9ZFy9eFN27dxdpaWlu97HZbKJHjx5uE/lgclw5HA7x61//Wjz22GMBP3ZDWWfOnBG9evWq89yVheSRI0ek5AghxJkzZ8RDDz3krBE333yzeOONN4TVahVfffWVqsc8duyYiIuLE9u2bXOOq61btwqr1Sp27NghKisrpc0l1GR5CnQu4W9WoPOJQNqk8HcuoSZLxnwimDb5O5dQkyVjPuFvm4KZS6jJkjGfUNsmreYSe/fuFVarVWzbtk2T9UZ9WZ5kXpyvL0fWekNNlqtA1xv15Wix3qgvqz6Brjfqy9FivVFflitZ5yTqy9LqvIRnjhDyasRvf/tbER8fX+f2cePGiWnTpklbc/jK8RTMesOfrGDWG/62SRHIesNXlqz1RqBtCmS94StL1nrDnzYFu97wlSVrvaGmTTLWG55mzJgh4uPjRU1NjfM2reYS3rI8yZhL+MqROZdQ0yZFMHMJbzlazSX8aVMwcwlvOVrNJXy1SeZcwluWFnOJ+tokYy4xevToOrX0xIkTonv37iI7O1sIIa9OqMnyFEid8DcnmDoRSJsU/tYJNVkyakUwbfK3TqjJklEr/G1TMHVCTZaMOmG328Xzzz8vevbsKaxWq4iLixOvvfaaGDx4sPMFq1pee+DH2uussLAQVVVVuPPOO6U/9qFDhwBc/ogHVz179kRNTQ1OnTol9SNYY2NjsX79ehw7dgxVVVXo2rUr3nzzTbRv3x4xMTGqH6eqqgpTpkzB+fPnkZOTgyuuuML5O+W7HI4cOeL2vQ5HjhxBWFgYYmNj/XrODWXJpCbn66+/xvTp05GcnIzp06drmuUpLi4Of/3rX3HmzBm0b98+6JwjR47ghx9+wJAhQ+r83U033YTMzEy/Ps6mKWyn2NjYOt854kr5/jIZWa6CrREN5ciuEb7aJKtGeOrevTvCwsJw9OhRDB8+HGFhYThy5Ah++ctfOu+jfN9LsN+F5pqlNW9ZP/zwAyZPnoz+/ftj/vz5muV4iouLg91uR0lJieoa4Sururoa5eXlGD58eJ373XTTTZg8eTJmzJgRdI7WXLNatmzZ4Fj2t07Ul+Nq165dOH78OP7whz8E/NgNZXXq1Ak1NTVe6wRw+buWPL8jLZAcALjqqquwevVqnDp1CuXl5bj++uvxySefICwszJnny7Fjx2Cz2fDoo4/W+d0DDzyAvn37Oj9KP9i5hJqsdevWqXosmVnBzCeCaZO/cwk1Wd26dQt6PtHUttM777wT9HzC3zYFM5dQk6V8DHEw8wm1bdJqLuFK9nqjKZG13ghEIOuNhshebzQFstcbaml5TgLQ97yErBpx44031juPrK6uRpcuXaSsOXzlyKQ2K9j1RqBtCmS94SvryJEjUtYbTWk7yVpv+NOmYNcbvrKKi4ulrDfUtEnGesNVVVUVPv74Y9x1110ICwtz3q7FXKK+LNl85cicS/jbpkDnEvXlaDGXaOztpMVcQk2bZM0l6svS4vxlfW2SMZc4fPiw83vsFR07dsRVV13lrFOy6oSaLBn8yQm2TgTTJn/rhJosGbVCr+2kNktGrfC3TcHUCTVZMuqE2WzGrFmzkJaWhpKSEnTq1Am1tbVYtGgR+vbtCwDS1gHe8OK8zvLy8tClSxfnxpVJOWAcOHAA1157rfP2/fv3w2QyoVOnTtIzATi/k6Wqqgrvv/++23c8+FJbW4snn3wSR44cwdq1a3HNNde4/T42NhbXX389Nm/ejNtuu815e35+PoYMGdJgUfE3SxY1OYcOHcKUKVMwePBgzJ07V9Msb3bt2oU2bdrgqquukpIzefJkjB492u22FStW4H//+x9eeOEFXH/99apy1GR5c/HiRWzbtg29e/eWlhMeHo6hQ4eiqKjI7fYvv/wSwOWDv6wsV8HUCF85MmuEP20KpkZ4s3fvXthsNnTu3Bnh4eG4+eab8fe//x0PPvig8z75+fm44YYb3L4zKtgsrXlmlZaWYtKkSbj22muxZMkSaQs9NW3avXs3TCaT1P7r06cP4uPj3X6/YcMG5OfnY+XKlUEdo3y1yeFwYPPmzfjZz36GyMjIgHO8ZQ0bNgybN29GdXU1IiIiAAA7duyA3W73q074ylFs2rQJrVq18nrSUUaWsh0OHDiAQYMGOe+zf/9+AAhqTNTXpmuuuQbXXHMN7HY73n33XYwaNUr1QrtHjx5466233G779ttv8cILL2Du3Lno3bu3tLmEmixZ1GYFO58Ipk3+ziXUZEVGRgY9nwi0TYHMJdRkyZhP+NumYOYSarJqa2sBBDef8LdNsucS+fn5sFgs6NmzJ9q3by9tveErS0ueObLWG2qyvPG3RvjK6dy5s7T1hq8sbwKpEb5yZK43fGW50uKchGvW8ePHAWhzXqK+NgVbI4YNG4YPPvgA3377rfME39mzZ3HgwAFMnDhR2prDV45MarJkrDcCbVMg6w1fWaNHj5ay3gikTYGuN9RkyVhv+NOmYNcbvrJkrTf8aVMw6w1XW7duxcWLF+tcaJB57tJXlmwN5cieS/jbpkDnEvXlyDx36SvLm2DmEvXlaDGXUNMmWXOJ+rJkX+NQ06Zg5hKdOnXCN99843ZbSUkJzp4962yLrDqhJksGtTky6kQwbfK3TqjJklErAm1TIHVCTZaMWuFvm4KpE2qyZNaJK664Aj//+c8BAFlZWejcuTN+8YtfAICm1x54cV6CS5cu4dNPPwVweZBUVlZi8+bNAID4+HhcffXVAIAzZ86gqKgIkydP1iSnV69e6NWrF+bMmYOysjJ06dIF+/btw4oVKzB27Fi0bNlSapveeecdtGnTBtdeey1KSkrw5ptvIiIiwq/2zZ07F//4xz8wc+ZMVFZW4uuvv3b+TjlhkZaWhhkzZqBLly64+eabkZ+fj3379uGdd95RnaM269ChQ85X3QDAf//7X2zevBktW7bErbfeKiXn/PnzePjhhxEREYEHH3zQuQABgDZt2uDGG2+U1qYjR47g5Zdfxu23346YmBhngX/vvfeQkZGBFi3UlQBfOTfccANuuOEGt7/ZsGEDTp06hZtvvll1e9Rk7du3D6tWrUJCQgJiYmJQWlqKN998E6dPn0ZWVpa0nPDwcEybNg2pqan4/e9/j9GjR+OHH37AK6+8gjvvvBNdunSRmgUEXyN85cisEWraJKNGTJs2Db169UL37t0RGRmJ7777Dm+88Qa6d+/unMw+/vjjeOCBB5CZmYnExER89dVXyMvLw6JFi1TnqM0qKSnBv//9bwCX6+TRo0edtfH222+XllVVVYXJkyfj7Nmz+L//+z8cPHjQ+bfh4eGqT/D7yjl//jwmT56Mu+66C9dddx1qa2vx1Vdf4a233kJKSgratWsnrU3h4eF1Jiw7d+6ExWLxq074yikpKcHMmTNxxx134LrrrkN5eTneffdd7N+/H0uXLlWdoyYLAB5++GFs3LgRv/vd7/DAAw/gzJkzeOWVVzBw4EAMHjxYWg5w+UUxf//733HbbbcF/CIDNdvptttuQ1ZWFux2O3r27IlDhw5h6dKl+MUvflGn1gfTpg8//ND5brTS0lLk5OTg2LFjePnll1W3Jyoqqt7xExcX51xgyJhLqM2SMZdQk1VWVhb0fEJNznfffSdlLqG2/4KdT6jJ+de//iVlLqG2TcHOJ9TmAMHPJdRk2e32oOcTatskYy7x8MMP4+abb0b37t0BAJ988gnWrVuHBx54wPnuClnrDTVZMmqErxwZ9UFtlqwa4Sunffv20tYbvrJk1Qg140HWekNNFhB8jVCTdfXVV0tZc6hpk4waAQC33XYbevfujSeeeALp6emIiIjAihUrEB4ejvvvvx+AnDWHmhxZ6w1fWbLWG75yZK43fGW1b99eynrDV47M9YaaMSFjvaEmB5Cz3vCV1a5dOynrDTVtkrHecLVp0yZ06tQJAwcOrPM7WXMJNVky5hK+cmTOJXxlyZpL+MqRee7SV5asuYSvHEDeXEJNFiBnLuErS+b5y4ZyADlzidTUVCxYsADz58/H8OHDce7cObz22muIjo5GYmKi834y6oTarGDrhJocWXVCTZasOqEmS0atUJMjq06oHRPB1gq1OUDwdUJNlow6sW/fPuzcuRM9evRAVVUVtm7dio0bN2LlypWwWCzO+8m69uCJF+clKCsrq/ORHcrPb731lnOnLSgoQG1tbcCvelSTs3z5cmRlZeH1119HWVkZOnbsiEceecTvHUFNVk1NDZYtW4aTJ0/iyiuvxMiRIzF9+nS0atVKdc4XX3wBAHjxxRfr/O6TTz5B586dkZSUhEuXLmHlypVYsWIFunbtimXLlqF///5+tUlNVkFBAZYtW+a8PTc3F7m5uYiJicHWrVul5JSUlODkyZMAUOfVvPHx8Xj77bdV5ajJateuHaKiovDqq6/i9OnTuOKKK9CtWzcsW7bM7YJPsDky31XsK6t9+/aw2WxYtGgRzp07h5YtW6J///6YO3cu+vTpIy2nc+fO6NWrF1auXImXX34Zjz/+ONq2bYuUlBSkp6dLbZPSf8HWCDU5smqEmiwZNaJPnz7Iz8/HihUrIIRATEwM7rnnHjz88MPOFzUMGjQIS5cuxeLFi/H++++jU6dOmD9/fp2JgYysr776Ck8//bTzbz777DN89tlnAID//Oc/0rKOHTuG7777DsDlCYArf+qRmjZ17doVa9aswalTpxAZGYkuXbpg7ty5SE5OVt0etVky+Mpp3bo12rRpg9deew1lZWUICwtz7suuHz8kq03XXnst3nrrLSxYsABpaWlo2bIlRowYgZkzZ8JkMknLAYDPP/8cZ8+eRVJSkl/t8DfrpZdewl/+8he8++67OHXqFNq3b48777wTaWlpUnOEEFi9ejWOHTuGVq1a4dZbb8XLL7+MDh06BNy++siaS6ghYy6hxqFDh6TNJxoiay7RlMiaS6glaz6hRrBzCTUsFou0+YQvMuYSXbt2xfr163Hy5Ek4HA5cf/31mDVrFiZMmOC8j6waoSZLRo3wlSOzPvjKklUj1PSdLL6yZNUINW2SVR/U9p+MGuErS1aNUNMmGTUCuPyRlitWrMALL7yA2bNnw2azYdCgQVi7dq3zhQAy1hxqcmStN3xlyVpv+MqpqamRtt5Q038y+Mo5d+6ctPWGmjbJWG+o7TsZ6w01WTLWG2pyZK43ysvL8dlnn+HBBx/02u8y1xu+smStNxrKkb3WaChL5nrDV9/J1FCWzPWGrzbJXGuo6T9Z642GsmSuN3y1ScZc4oEHHkB4eDjeffddrF+/Hq1bt0a/fv2wePFit3d0y6gTarOCrRNqcmTVCTVZsuqE2v4LlpocWXVCbZuCrRX+9F2wdUJNlow6ERYWhi1btuAvf/kLAKBv3754++236+yTsq49eDIJIURQj0BEREREREREREREREREREQNMjf2EyAiIiIiIiIiIiIiIiIiIjI6XpwnIiIiIiIiIiIiIiIiIiLSGC/OExERERERERERERERERERaYwX54mIiIiIiIiIiIiIiIiIiDTGi/NEREREREREREREREREREQa48V5IiIiIiIiIiIiIiIiIiIijfHiPBERERERERERERERERERkcZ4cZ6IiIiIiIiIiIiIiIiIiEhjvDhPRERERERERFi7di26d++Oe+65p7GfChEREREREZEh8eI8EREREREREWHTpk2IiYnBvn378MMPPzT20yEiIiIiIiIyHF6cJyIiIiIiImrmiouLsWfPHjz99NO4+uqrsWnTpsZ+SkRERERERESGw4vzRERERERERM3cpk2b0LZtW9x66634zW9+4/Xi/NmzZ/GHP/wBAwYMwKBBg/DUU0/hu+++Q/fu3fHBBx+43ffw4cN44oknEB8fj969e2PMmDH45JNP9GoOERERERERUZPEi/NEREREREREzdymTZuQkJCA8PBwJCUl4fvvv8e+ffucv3c4HHj88cfx0UcfYfTo0UhPT8fp06fx1FNP1XmsgwcPIiUlBYcPH8bkyZMxc+ZMtGrVClOnTkVhYaGezSIiIiIiIiJqUlo09hMgIiIiIiIiosazf/9+HDlyBM8++ywAYODAgejYsSM2bdqEPn36AAA+/vhj7NmzB7NmzcKDDz4IALjvvvvw0EMP1Xm8559/Htdeey3Wr1+P8PBwAMD999+P++67Dy+//DISEhJ0ahkRERERERFR08J3zhMRERERERE1Y5s2bUK7du1w8803AwBMJhNGjRqF/Px82O12AMBnn32GsLAw3Hvvvc6/M5vNGDdunNtjnTt3Djt27EBiYiIqKytx5swZnDlzBmfPnsUtt9yC77//HqdOndKvcURERERERERNCN85T0RERERERNRM2e12fPTRR7j55ptx7Ngx5+19+vTB6tWrUVRUhFtuuQXHjx9H+/bt0bJlS7e/79Kli9vPR48ehRACWVlZyMrK8ppZVlaGa665Rn5jiIiIiIiIiJo4XpwnIiIiIiIiaqZ27NiB06dP46OPPsJHH31U5/ebNm3CLbfcovrxHA4HAGDSpEn45S9/6fU+nhf0iYiIiIiIiJoLXpwnIiIiIiIiaqY2bdqE6OhozJ49u87vCgsLUVhYiLlz56JTp0746quvcOnSJbd3zx89etTtb2JjYwEAYWFh+MUvfqHtkyciIiIiIiIKMfzOeSIiIiIiIqJmqKqqClu2bMGvf/1r3H777XX+GzduHC5cuICtW7filltugc1mw7p165x/73A4sHbtWrfHjI6ORnx8PHJyclBaWlon88yZM5q3i4iIiIiIiKip4jvniYiIiIiIiJqhrVu34sKFCxg+fLjX3/fr1w9XX301PvzwQ/zlL39Bnz598NJLL+Ho0aPo1q0btm7divLycgCAyWRy/t2cOXNw//33484778S9996L2NhY/Pjjj/j6669x8uRJfPjhh7q0j4iIiIiIiKip4cV5IiIiIiIiomboww8/REREBIYOHer192azGb/+9a+xadMmVFRU4PXXX8fzzz+PDRs2wGw2IyEhAVOnTsV9992HiIgI59/deOONWL9+PZYtW4YNGzbg3LlzuPrqq9GzZ09MnTpVr+YRERERERERNTkmIYRo7CdBRERERERERKHn448/xtSpU/G3v/0NAwcObOynQ0RERERERNSk8TvniYiIiIiIiMinqqoqt5/tdjvefvtttGnTBnFxcY30rIiIiIiIiIhCBz/WnoiIiIiIiIh8eu6551BVVYX+/fujpqYGW7ZswZ49e5CRkYHIyMjGfnpERERERERETR4/1p6IiIiIiIiIfNq0aRPefPNN/PDDD6iursZ1112H++67D+PHj2/sp0ZEREREREQUEnhxnoiIiIiIiIiIiIiIiIiISGP8znkiIiIiIiIiIiIiIiIiIiKN8eI8ERERERERERERERERERGRxnhxnoiIiIiIiIiIiIiIiIiISGO8OE9ERERERERERERERERERKQxXpwnIiIiIiIiIiIiIiIiIiLSGC/OExERERERERERERERERERaYwX54mIiIiIiIiIiIiIiIiIiDTGi/NEREREREREREREREREREQa48V5IiIiIiIiIiIiIiIiIiIijf0/o4EUcqLYraMAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# create figure\n", + "plt.figure(figsize=(25,12))\n", + "sns.set_theme(style=\"ticks\")\n", + "sns.set_style(\"whitegrid\")\n", + "gfg = sns.boxplot(x=\"age\", y=\"hours_per_week\", \n", + " data=df_orig_copy,\n", + " palette=\"vlag\")\n", + "\n", + "# add in points to show each observation\n", + "sns.stripplot(x=\"age\", y=\"hours_per_week\", \n", + " data=df_orig_copy,\n", + " size=2, color=\".3\", linewidth=0)\n", + "\n", + "# tweak the visual presentation\n", + "ax.xaxis.grid(True)\n", + "gfg.set(xlabel='Age', ylabel='Hours-per-Week')\n", + "sns.despine(trim=True, left=True)\n", + "plt.title(\"General Value Distribution by Age and Hours-Per-Week\", fontsize=15, fontweight='bold')\n", + "plot_name = 'general_dist_age-hoursPerWeek_boxplot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "eb81c638-15bb-442b-88ee-093eeb99b070", + "metadata": {}, + "source": [ + "**Note:** In the age range from 25 up to 60 people work longer than 40 hours-per-week. If a person is much younger or much older, in general, such person works much less." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "43af91ca-46e1-4ed7-8a35-f70b8658a69f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# 3-D mix data using kind of scatter plot graph,\n", + "# leveraging the concepts of hue for categorical dimension, \n", + "# view relationships\\correlations as needed \n", + "lplot = sns.lmplot(data=df_orig_copy,\n", + " x='age', y='hours_per_week',\n", + " hue='race', height=8, aspect=2,\n", + " palette=\"vlag\",\n", + " fit_reg=True, legend=True,\n", + " scatter_kws=dict(edgecolor=\"k\", linewidth=0.5)) \n", + "lplot.set(xlabel='Age', ylabel='Hours-per-Week')\n", + "title = 'Regression Distribution of Hours-per-Week by Age and Race\\n\\n\\n'\n", + "lplot.fig.suptitle(title, fontsize=15, fontweight='bold', y=1.05)\n", + "plot_name = 'hoursPerWeek-Regression_dist_age-race_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "0f9fc2ec-2b98-40d2-9bac-e53930248b62", + "metadata": {}, + "source": [ + "**Note:** In average, US american native people are working more constantly on the same level. Average white, black and asian-pacific-islander people are work longer regarding age >80 and hours >40.\n", + "\n", + "**Next question:** Are age, education and sex be relevant for working hours?" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "b7a835d5-b4dc-46ae-92fb-c72c2ce5a023", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(figsize=(18,10))\n", + "#plt.figure(figsize=(18,10))\n", + "gfg = sns.scatterplot(data=df_orig_copy,\n", + " x='age',\n", + " y='hours_per_week',\n", + " size='sex',\n", + " hue='education_num',\n", + " sizes=(80, 20),\n", + " alpha=0.9,\n", + " palette=sns.color_palette(\"vlag\", 16))\n", + "\n", + "title = 'Census Peoples Education Distribution by Age, Sex and Hours-Per-Week'\n", + "plt.title(title, fontsize=15, fontweight='bold')\n", + "\n", + "# future toDo: change legend visibility\n", + "edu_labels=['Preschool', '1st-4th', '5th-6th', '7th-8th',\n", + " '9th', '10th', '11th', '12th',\n", + " 'HS-grad', 'Some-college', 'Assoc-voc', 'Assoc-acdm',\n", + " 'Bachelors', 'Masters', 'Prof-school', 'Doctorate',]\n", + "sex_labels=['Male', 'Female']\n", + "\n", + "# produce legend with the unique colors from the scatter\n", + "#legend1 = plt.legend(labels=edu_labels, loc=\"upper right\", title=\"Education\")\n", + "#ax.add_artist(legend1)\n", + "# only with legend1, second size legend is missing \n", + "\n", + "gfg.set(xlabel='Age', ylabel='Hours-per-Week')\n", + "plot_name = 'education_dist_age-sex-hoursPerWeek_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "87c7728e-1aba-4203-8be3-a814b7be56ad", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(18,10))\n", + "\n", + "gfg = sns.scatterplot(data=df_orig_copy,\n", + " x='age',\n", + " y='hours_per_week',\n", + " size='sex',\n", + " hue='education_level_group',\n", + " sizes=(80,20),\n", + " palette=\"vlag\") # colorblind has wrong coloured points (color mix)\n", + "title = 'Census Peoples Education-Level-Group Distribution by Age, Sex and Hours-Per-Week'\n", + "plt.title(title, fontsize=15, fontweight='bold')\n", + "gfg.set(xlabel='Age', ylabel='Hours-per-Week')\n", + "plot_name = 'educationLevel_dist_age-hoursPerWeek-sex_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "452f28db-0013-4b7e-8b22-e2152c861859", + "metadata": {}, + "source": [ + "**Note:** Regarding hours-per-week male, independent from education, work much longer with paid work compared to female people." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "9039c632-880a-4237-8a9c-d3475bac61e4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# capital_gain (German translation: Kapitalerträge)\n", + "# cardinality is much to high for plotting,\n", + "# therefore a grouping of 5 appears \n", + "\n", + "df_orig_copy['capital_gain_lvl'] = pd.cut(df_orig_copy['capital_gain'],\n", + " [0,0.001, 20000,40000,60000,80000,100000],\n", + " labels=[0, 20000,40000,60000,80000,100000])\n", + "\n", + "plt.figure(figsize=(18,10))\n", + "gfg = sns.scatterplot(data=df_orig_copy,\n", + " x='age',\n", + " y='hours_per_week',\n", + " size='sex',\n", + " hue='capital_gain_lvl',\n", + " sizes=(80,20),\n", + " alpha=0.8,\n", + " palette=\"vlag\")\n", + "\n", + "title = 'Census Peoples Capital-Gain Distribution (levels) by Age, Sex and Hours-Per-Week'\n", + "plt.title(title, fontsize=15, fontweight='bold')\n", + "gfg.set(xlabel='Age', ylabel='Hours-per-Week')\n", + "plot_name = 'capitalGain_dist_age-hoursPerWeek-sex_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight')\n", + "plt.legend(loc=\"upper right\")\n", + "plt.show()\n", + "\n", + "df_orig_copy.drop(columns=['capital_gain_lvl'], inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "9f09aec7-2a99-406a-845b-ca8ecdc8ba3f", + "metadata": {}, + "source": [ + "**Note:** In general, it is expected that most people don't have any kind of capital-gain (darkest blue points), but this isn't visible in the last graph. It seems as if they are substituted to the range edge of 20000. So, this has to be analysed in another graph using the default seaborn ranges and not this customized ones.\n", + "\n", + "Surprise, with an average working hour from 20 up to 40, few people are getting high capital-gain, but only if they are female. Only with hours-per-week > 50 up to 80 male people less independent from age are getting high capital-gain.\n", + "\n", + "Regarding the whole graph, one insight is that much higher hours-per-week compared to the average 40-hours-week is no guarantee for additional high value of extra-money (resp. capital-gain).\n", + "\n", + "**Next question:** Is there a relation of having capital-gain and associated sex and education level of the people? It is expected that with higher education and being male, the probability of having a high capital-gain is much higher compared to other sex groups." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "3d01467a-370b-42d9-956e-4c1a07a3ee0e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(18,10))\n", + "gfg = sns.scatterplot(data=df_orig_copy,\n", + " x='age',\n", + " y='capital_gain',\n", + " size='education_level_group',\n", + " hue='sex',\n", + " alpha=0.6,\n", + " sizes=(100, 20),\n", + " palette=\"colorblind\")\n", + "\n", + "title = 'Census Peoples Sex Distribution by Age, Education-Level and Capital-Gain'\n", + "plt.title(title, fontsize=15, fontweight='bold')\n", + "gfg.set(xlabel='Age', ylabel='Capital-Gain')\n", + "\n", + "plot_name = 'sex_dist_age-capitalGain-educationLevel_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "7fba7095-87e1-4c5a-bfcc-9bdb4ce38ff8", + "metadata": {}, + "source": [ + "**Note:** As expected this graph shows, that most people have no capital-gain, followed by having a low amount of extra money. Furthermore, people with capital-gain are mainly of age 22 up to 63 with a high or average education level and male. In principal, highest values of capital-gain are received by man with high education only. Very few outliers exist, like the 27 year old man with low education having a capital-gain around 40000." + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "0b4f7415-5898-488d-b0b5-e733ce8d5273", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(18,10))\n", + "gfg = sns.scatterplot(data=df_orig_copy,\n", + " x='age',\n", + " y='education_num',\n", + " size='sex',\n", + " hue='capital_gain',\n", + " alpha=0.8,\n", + " sizes=(80,20),\n", + " palette=\"vlag\")\n", + "\n", + "title = 'Census Peoples Capital-Gain Distribution (some groups) by Education, Age and Sex'\n", + "plt.title(title, fontsize=15, fontweight='bold')\n", + "gfg.set(xlabel='Age', ylabel='Education')\n", + "yticklabels = ['Preschool', '1st-4th', '5th-6th', '7th-8th',\n", + " '9th', '10th', '11th', '12th',\n", + " 'HS-grad', 'Some-college', 'Assoc-voc', 'Assoc-acdm',\n", + " 'Bachelors', 'Masters', 'Prof-school', 'Doctorate']\n", + "gfg.set_yticks(ticks=list(range(1, 17)), labels=yticklabels)\n", + "plot_name = 'capitalGain_dist_age-education-sex_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "05b36bec-04a3-4333-9679-fa74d1d628e7", + "metadata": {}, + "source": [ + "**Note:** In this case having used the default hue ranges, the highest capital-gain range of 100000 is missing. Such information points are available with the customized hue property of other graphs." + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "7453a866-5aa3-4925-9cdd-a0b8b30d423d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# do the same with own set hue ranges\n", + "df_orig_copy['capital_gain_lvl'] = pd.cut(df_orig_copy['capital_gain'],\n", + " [0, 20000,40000,60000,80000,100000],\n", + " labels=[20000,40000,60000,80000,100000])\n", + "\n", + "plt.figure(figsize=(18,10))\n", + "gfg = sns.scatterplot(data=df_orig_copy,\n", + " x='age',\n", + " y='education_num',\n", + " size='sex',\n", + " hue='capital_gain_lvl',\n", + " alpha=0.8,\n", + " sizes=(80,20),\n", + " palette=\"vlag\")\n", + "\n", + "title = 'Census Peoples Capital-Gain Distribution (levels) by Education, Age and Sex'\n", + "plt.title(title, fontsize=15, fontweight='bold')\n", + "gfg.set(xlabel='Age', ylabel='Education')\n", + "yticklabels = ['Preschool', '1st-4th', '5th-6th', '7th-8th',\n", + " '9th', '10th', '11th', '12th',\n", + " 'HS-grad', 'Some-college', 'Assoc-voc', 'Assoc-acdm',\n", + " 'Bachelors', 'Masters', 'Prof-school', 'Doctorate']\n", + "gfg.set_yticks(ticks=list(range(1, 17)), labels=yticklabels)\n", + "plot_name = 'capitalGain-lvls_dist_age-education-sex_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight')\n", + "plt.show()\n", + "\n", + "df_orig_copy.drop(columns=['capital_gain_lvl'], inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "465e1ad6-e33c-41b1-b577-3d9d0e41f1c8", + "metadata": {}, + "source": [ + "**Note:** Some insights having in mind that the whole capital-gain distribution could not be plotted because of its much too high cardinality:\n", + "- few highest capital_gain for male, so sex dependent, is available with education _doctorate_, _prof-school_\n", + "- few highest capital_gain for male is available with education _HS-grad, _bachelors_, _masters_\n", + "- some male with higher or average education have capital-gain up to 40000$\n", + "- the detected 27 years old male outlier with high capital-gain >40000 has the education level of a preschool kid; this is strange ...\n", + "- again, most people independent from education or sex don't have any kind of capital-gain" + ] + }, + { + "cell_type": "markdown", + "id": "210271b4-a8b7-4ece-beb1-91ef093644f9", + "metadata": {}, + "source": [ + "\n", + "### 3. Further Feature Engineering\n", + "We have identified the following, remaining **categorical features**:\n", + "- 'workclass'\n", + "- 'marital_status'\n", + "- 'occupation'\n", + "- 'relationship'\n", + "- 'race'\n", + "- 'sex'\n", + "- 'native_country'\n", + "\n", + "and according our profiling report of the original data _race_ is highly imbalanced (65.6%) and 'native_country' is highly imbalanced (82.5%) as well. Furthermore, even it is wrong from medical point of view, the sex attribute in this dataset is a binary one. Take care of this during pipeline creation and its scaling topic.
\n", + "\n", + "Addionally, our target feature _salary_ is imbalanced as well, regarding its classes. As a consequence, we have to chose an appropriate model estimator for our **binary classification prediction** having a salary >50k or not. In general, tree-based algorithms (like the ensemble _RandomForestClassifier_) or boosting algorithms (_AdaBoostClassifier_, _XGBoostClassifier_)\n", + "\n", + "\n", + "Regarding this dataset features, there are still other open questions:\n", + "- Regarding the categorical features, what is the detailed cardinality of the attributes? If the number is 'too high' this is not valuable. What 'too high' means is unclear by now. Is it necessary to create another bin structure?\n", + "- Regarding the categorical features, we shall do an encoding. Their interpretation - having a ranking or not - cannot be distinguished by a prediction model." + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "3413fb6d-7ace-4051-ba65-4936cd41c241", + "metadata": {}, + "outputs": [], + "source": [ + "def print_categorical_group(cat_feat):\n", + " ''' Prints the amount of the categorical feature values. '''\n", + " \n", + " txt_start = \"There are \"\n", + " txt_feat = \" \" + str(cat_feat) + \" values \"\n", + " txt_middle = \"with \"\n", + " txt_nan = \" NaN's \"\n", + " txt_end = \"in the census dataset:\\n\"\n", + " print(esc('1') + txt_start + esc('34;1') + \\\n", + " str(df_orig_copy[cat_feat].nunique()) + txt_feat + \\\n", + " esc('0') + esc('1') + txt_middle + esc('34;1') + \\\n", + " str(df_orig_copy[cat_feat].isna().sum()) + txt_nan + \\\n", + " esc('0') + esc('1') + txt_end + esc('0'))\n", + " df_group = df_orig_copy.groupby(cat_feat)\n", + " print(df_group[cat_feat].count())" + ] + }, + { + "cell_type": "markdown", + "id": "1c1faebb-6afe-4078-acee-83645034e116", + "metadata": {}, + "source": [ + "#### 3.1 Feature 'workclass'" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "727d95b6-e9c9-44c5-b117-8c9bd0b209d1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mThere are \u001b[34;1m9 workclass values \u001b[0m\u001b[1mwith \u001b[34;1m0 NaN's \u001b[0m\u001b[1min the census dataset:\n", + "\u001b[0m\n", + "workclass\n", + " ? 1836\n", + " Federal-gov 960\n", + " Local-gov 2093\n", + " Never-worked 7\n", + " Private 22673\n", + " Self-emp-inc 1116\n", + " Self-emp-not-inc 2540\n", + " State-gov 1298\n", + " Without-pay 14\n", + "Name: workclass, dtype: int64\n" + ] + } + ], + "source": [ + "print_categorical_group('workclass')" + ] + }, + { + "cell_type": "markdown", + "id": "e96460d7-0911-4109-b9e5-b253c585d3b3", + "metadata": {}, + "source": [ + "#### 3.2 Feature 'marital_status'" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "f801abcf-6aa3-4056-8c85-098670205789", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mThere are \u001b[34;1m7 marital_status values \u001b[0m\u001b[1mwith \u001b[34;1m0 NaN's \u001b[0m\u001b[1min the census dataset:\n", + "\u001b[0m\n", + "marital_status\n", + " Divorced 4441\n", + " Married-AF-spouse 23\n", + " Married-civ-spouse 14970\n", + " Married-spouse-absent 418\n", + " Never-married 10667\n", + " Separated 1025\n", + " Widowed 993\n", + "Name: marital_status, dtype: int64\n" + ] + } + ], + "source": [ + "print_categorical_group('marital_status')" + ] + }, + { + "cell_type": "markdown", + "id": "23cb8628-4e31-4ae3-9577-f54f70cc3de5", + "metadata": {}, + "source": [ + "#### 3.3 Feature 'occupation'" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "39d0477b-959e-4941-b33b-3db55e15d780", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mThere are \u001b[34;1m15 occupation values \u001b[0m\u001b[1mwith \u001b[34;1m0 NaN's \u001b[0m\u001b[1min the census dataset:\n", + "\u001b[0m\n", + "occupation\n", + " ? 1843\n", + " Adm-clerical 3768\n", + " Armed-Forces 9\n", + " Craft-repair 4094\n", + " Exec-managerial 4065\n", + " Farming-fishing 992\n", + " Handlers-cleaners 1369\n", + " Machine-op-inspct 2000\n", + " Other-service 3291\n", + " Priv-house-serv 147\n", + " Prof-specialty 4136\n", + " Protective-serv 649\n", + " Sales 3650\n", + " Tech-support 927\n", + " Transport-moving 1597\n", + "Name: occupation, dtype: int64\n" + ] + } + ], + "source": [ + "print_categorical_group('occupation')" + ] + }, + { + "cell_type": "markdown", + "id": "f28a25a4-702a-4d24-9c52-3ab91f057016", + "metadata": {}, + "source": [ + "#### 3.4 Feature 'relationship'" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "d343e435-f950-4958-ba92-6bcf3deddad8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mThere are \u001b[34;1m6 relationship values \u001b[0m\u001b[1mwith \u001b[34;1m0 NaN's \u001b[0m\u001b[1min the census dataset:\n", + "\u001b[0m\n", + "relationship\n", + " Husband 13187\n", + " Not-in-family 8292\n", + " Other-relative 981\n", + " Own-child 5064\n", + " Unmarried 3445\n", + " Wife 1568\n", + "Name: relationship, dtype: int64\n" + ] + } + ], + "source": [ + "print_categorical_group('relationship')" + ] + }, + { + "cell_type": "markdown", + "id": "6cf8323f-4f8a-4252-b903-4a7f05cd5631", + "metadata": {}, + "source": [ + "#### 3.5 Feature 'race'" + ] + }, + { + "cell_type": "code", + "execution_count": 75, + "id": "90bc8169-d29f-466d-b16a-5bcfd24fe877", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mThere are \u001b[34;1m5 race values \u001b[0m\u001b[1mwith \u001b[34;1m0 NaN's \u001b[0m\u001b[1min the census dataset:\n", + "\u001b[0m\n", + "race\n", + " Amer-Indian-Eskimo 311\n", + " Asian-Pac-Islander 1038\n", + " Black 3122\n", + " Other 271\n", + " White 27795\n", + "Name: race, dtype: int64\n" + ] + } + ], + "source": [ + "print_categorical_group('race')" + ] + }, + { + "cell_type": "markdown", + "id": "0d049f1f-5d66-412c-9d1c-d97cd203fd2c", + "metadata": {}, + "source": [ + "#### 3.6 Feature 'sex'" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "id": "30b1a5a5-f6d3-413e-a3e5-819618b5d136", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mThere are \u001b[34;1m2 sex values \u001b[0m\u001b[1mwith \u001b[34;1m0 NaN's \u001b[0m\u001b[1min the census dataset:\n", + "\u001b[0m\n", + "sex\n", + " Female 10762\n", + " Male 21775\n", + "Name: sex, dtype: int64\n" + ] + } + ], + "source": [ + "print_categorical_group('sex')" + ] + }, + { + "cell_type": "markdown", + "id": "dbdf1dc2-eeef-49e5-a788-9f60123129ac", + "metadata": {}, + "source": [ + "There are nearly twice as much male as female in the dataset. Have this in mind interpreting the visualisation plots." + ] + }, + { + "cell_type": "markdown", + "id": "8ac68e7c-1f97-4ef8-8771-823ffa24df34", + "metadata": {}, + "source": [ + "#### 3.7 Feature 'native_country'" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "id": "15455f55-5cb3-4444-a446-ecf5b99aa099", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[1mThere are \u001b[34;1m42 native_country values \u001b[0m\u001b[1mwith \u001b[34;1m0 NaN's \u001b[0m\u001b[1min the census dataset:\n", + "\u001b[0m\n", + "native_country\n", + " ? 582\n", + " Cambodia 19\n", + " Canada 121\n", + " China 75\n", + " Columbia 59\n", + " Cuba 95\n", + " Dominican-Republic 70\n", + " Ecuador 28\n", + " El-Salvador 106\n", + " England 90\n", + " France 29\n", + " Germany 137\n", + " Greece 29\n", + " Guatemala 62\n", + " Haiti 44\n", + " Holand-Netherlands 1\n", + " Honduras 13\n", + " Hong 20\n", + " Hungary 13\n", + " India 100\n", + " Iran 43\n", + " Ireland 24\n", + " Italy 73\n", + " Jamaica 81\n", + " Japan 62\n", + " Laos 18\n", + " Mexico 639\n", + " Nicaragua 34\n", + " Outlying-US(Guam-USVI-etc) 14\n", + " Peru 31\n", + " Philippines 198\n", + " Poland 60\n", + " Portugal 37\n", + " Puerto-Rico 114\n", + " Scotland 12\n", + " South 80\n", + " Taiwan 51\n", + " Thailand 18\n", + " Trinadad&Tobago 19\n", + " United-States 29153\n", + " Vietnam 67\n", + " Yugoslavia 16\n", + "Name: native_country, dtype: int64\n" + ] + } + ], + "source": [ + "print_categorical_group('native_country')" + ] + }, + { + "cell_type": "markdown", + "id": "9aadb82c-3978-48a4-afde-59d8c802db3e", + "metadata": {}, + "source": [ + "**Note:** As visible, these are partly highly non-gaussian feature values and sometimes the _?_ (question mark) is used to indicate unknown values. We have to take care about it during ML workflow. \n", + "\n", + "Furthermore regarding _native_country_, some labels and groupings seem to be wrong (meaning of 'South': is it South-America or South-US; Puerto-Rico belongs to Outlying-US; Yugoslavia does not exist anymore and if Hong is Hongkong, this city belongs to China). We take care of it and modify the dataset accordingly." + ] + }, + { + "cell_type": "markdown", + "id": "1f59de1d-d034-474f-93b4-ca9c43ab3e83", + "metadata": {}, + "source": [ + "#### 3.8 Additional Preprocessing Steps\n", + "**Insights**:\n", + "- no NaN values are available, but have in mind this could be the case in a future dataset\n", + "- the _?_ character sign is used for unknown values of few columns. This has to be changed, so after having had to the features and their value meanings, we replace it with the word _Other_\n", + "- there are round about half as much female participants compared to male ones. Which other attributes are not normal distributed? Do some [scipy normal testing](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.normaltest.html) that tests the null hypothesis that a sample comes from a normal distribution, having a mathematical proof, even it has been visible via histograms. \n", + "- Then having in mind that the dataset has _some non-gaussian attribute distributions_, some of them can be changed by additional feature engineering; like scaling or another bin grouping, so, its cardinality is much more comparable to each other.\n", + "- As mentioned we have to take care of the classification model type selection. In our case the salary is of interest and especially, the minority class _>50K_. In general, ML algorithm will ignore such imbalance of the target classes which could lead to bias issues. In our case, the **salary distribution** is (with >50K: mapped to numerical value 1 and <=50K: mapped to numerical value 0): \n", + " - _<=50K_ has 24698 items\n", + " - _>50K_ has 7839 items (>50K: mapped to numerical value 1)\n", + " \n", + "But as in this case, if the minority class is of interest and the performance of the selected model type is still not acceptable, we can change the dataset e.g. by using _Synthetic Minority Oversampling Technique_, or _SMOTE_ for short.
\n", + "Nevertheless, first we start by using _RandomForestClassifier_ or _XGBoostClassifier_, because they can handle the imbalanced dataset property themselves." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "id": "75d03a4a-58f7-414c-8a56-319f3f73d858", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([' United-States', ' Cuba', ' Jamaica', ' India', ' ?', ' Mexico',\n", + " ' South', ' Puerto-Rico', ' Honduras', ' England', ' Canada',\n", + " ' Germany', ' Iran', ' Philippines', ' Italy', ' Poland',\n", + " ' Columbia', ' Cambodia', ' Thailand', ' Ecuador', ' Laos',\n", + " ' Taiwan', ' Haiti', ' Portugal', ' Dominican-Republic',\n", + " ' El-Salvador', ' France', ' Guatemala', ' China', ' Japan',\n", + " ' Yugoslavia', ' Peru', ' Outlying-US(Guam-USVI-etc)', ' Scotland',\n", + " ' Trinadad&Tobago', ' Greece', ' Nicaragua', ' Vietnam', ' Hong',\n", + " ' Ireland', ' Hungary', ' Holand-Netherlands'], dtype=object)" + ] + }, + "execution_count": 78, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# example for ? sign ...\n", + "df_orig_copy['native_country'].unique()" + ] + }, + { + "cell_type": "markdown", + "id": "1ccfa37a-f40c-42bd-88a0-00d8a3aa79bc", + "metadata": {}, + "source": [ + "Regarding the '?' sign and the value ' South', not knowing their meaning, we map them to the value 'Other'. Furthermore, ' Hong' is interpreted as 'Hongkong' and 'Holand-Netherlands' is in general 'Netherlands'." + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "id": "2fa1dd2b-8e7d-406a-8868-e52e884e9549", + "metadata": {}, + "outputs": [], + "source": [ + "# replacement actions\n", + "df_orig_copy.replace(to_replace=[' ?', '?', '? ', ' ? '], value='Other', inplace=True)\n", + "df_orig_copy['native_country'].replace(to_replace=[' South'], value='Other', inplace=True)\n", + "df_orig_copy['native_country'].replace(to_replace=[' Hong'], value='Hongkong', inplace=True)\n", + "df_orig_copy['native_country'].replace(to_replace=[' Holand-Netherlands'], value='Netherlands', inplace=True)\n", + "df_orig_copy['native_country'].replace(to_replace=[' Yugoslavia'], value='ex-Yugoslavia', inplace=True)\n", + "df_orig_copy['native_country'].replace(to_replace=[' Outlying-US(Guam-USVI-etc)'], value='Outlying-US', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "id": "8242b9ec-8e9e-4b61-affe-de90a9fa84d4", + "metadata": {}, + "outputs": [], + "source": [ + "# make sure it is always called 'Other' and no mixture exists\n", + "df_orig_copy.replace(to_replace=['Others', 'others', 'other'], value='Other', inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "7bf29d91-38ab-45f5-9ce0-32cbe0ba10b6", + "metadata": {}, + "source": [ + "As visible with this example, not only column label strings included leading or trailing spaces, the column string values are effected as well. So, we have to remove them from such value strings together with replacing including spaces with hyphen '-' in the entire dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 81, + "id": "57219ae2-fcec-49fd-a6dc-882862303823", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy = df_orig_copy.applymap(lambda x: x.strip().replace(' ', '-') if isinstance(x, str) else x)" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "id": "e942b9ea-8c91-4def-bd48-4a759aa72166", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['United-States', 'Cuba', 'Jamaica', 'India', 'Other', 'Mexico',\n", + " 'Puerto-Rico', 'Honduras', 'England', 'Canada', 'Germany', 'Iran',\n", + " 'Philippines', 'Italy', 'Poland', 'Columbia', 'Cambodia',\n", + " 'Thailand', 'Ecuador', 'Laos', 'Taiwan', 'Haiti', 'Portugal',\n", + " 'Dominican-Republic', 'El-Salvador', 'France', 'Guatemala',\n", + " 'China', 'Japan', 'ex-Yugoslavia', 'Peru', 'Outlying-US',\n", + " 'Scotland', 'Trinadad&Tobago', 'Greece', 'Nicaragua', 'Vietnam',\n", + " 'Hongkong', 'Ireland', 'Hungary', 'Netherlands'], dtype=object)" + ] + }, + "execution_count": 82, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# test check\n", + "df_orig_copy['native_country'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 83, + "id": "c11103f0-8fc4-4812-9ae2-dd619e7d5862", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['White', 'Black', 'Asian-Pac-Islander', 'Amer-Indian-Eskimo',\n", + " 'Other'], dtype=object)" + ] + }, + "execution_count": 83, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['race'].unique()" + ] + }, + { + "cell_type": "markdown", + "id": "8fdfec05-22e7-4aab-aa98-8893783efe20", + "metadata": {}, + "source": [ + "Now, we do **normal distribution testing** of some features, delivering probability plots and gaussian statistical value of normal test function. Sure, we could interpret already our histograms, but this more robust.\n", + "\n", + "A _significance level_ of 0.05 indicates a 5% risk of concluding that the data do not follow a normal distribution when the other data do follow a normal distribution. P-value ≤ α: The data do not follow a normal distribution (Reject H0 hypothesis)\n", + "\n", + "So, in the visualisation, if the scatterplot is closer to the red straight line, it means that the data is very close to Gaussian distribution. Deviation from the red line indicates that the data is most likely not Gaussian.\n", + "\n", + "For numerical features we use the _normaltest()_ function from the scipy library. For categorical features this function cannot be used. For them we look at the histograms of this notebooks visualisation part in chapter 2.1. There it is visible that no categorical attribute has a normal gaussian distribution." + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "id": "6f453fd2-0629-43a7-97c2-ed8140efab68", + "metadata": {}, + "outputs": [], + "source": [ + "def plot_normaldist_prob(feat):\n", + " ''' \n", + " Plots statistical feature distributions and\n", + " its normal test statistics with p-value resp. associated gaussian result.\n", + " '''\n", + " measurements = df_orig_copy[feat]\n", + " \n", + " # first probability plot\n", + " fig = plt.figure(figsize=(4.8,3))\n", + " ax = fig.add_subplot(111)\n", + " stats.probplot(measurements, dist='norm', plot=pylab)\n", + " ax.get_lines()[0].set_markersize(2.0)\n", + " \n", + " # second plot\n", + " plt.figure(figsize=(4.5,3))\n", + " sns.histplot(measurements, binwidth=2.5, kde=True, alpha=.5,\n", + " stat=\"density\", kde_kws=dict(cut=3))\n", + " \n", + " # wait until the plotting is ready\n", + " plt.show(block=False)\n", + "\n", + " # statistic calculations\n", + " stat,p = normaltest(measurements)\n", + " print(esc('4;1') + 'Calculation' + esc('0'))\n", + " print('stat=%.3f, p=%.3f\\n' % (stat, p))\n", + " print(esc('4;1') + 'Result for feature ' + esc('34') + str(feat) + esc('0'))\n", + " \n", + " if p > 0.05:\n", + " print(esc('92;1') + 'probably gaussian' + esc('0'))\n", + " else:\n", + " print(esc('91;1') + 'probably non-gaussian' + esc('0'))" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "id": "d69d1f9e-633a-47a2-bfa0-9be9f71df991", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[4;1mCalculation\u001b[0m\n", + "stat=2510.467, p=0.000\n", + "\n", + "\u001b[4;1mResult for feature \u001b[34mhours_per_week\u001b[0m\n", + "\u001b[91;1mprobably non-gaussian\u001b[0m\n" + ] + } + ], + "source": [ + "plot_normaldist_prob('hours_per_week')" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "id": "0060f27b-032c-4d8b-83f2-630142134108", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[4;1mCalculation\u001b[0m\n", + "stat=1522.051, p=0.000\n", + "\n", + "\u001b[4;1mResult for feature \u001b[34mage\u001b[0m\n", + "\u001b[91;1mprobably non-gaussian\u001b[0m\n" + ] + } + ], + "source": [ + "plot_normaldist_prob('age')" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "id": "fcc5e833-9991-4683-a3fb-fe428fb82ac3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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0du/ejRMnTuCjjz7Crl278NFHHyExMRFz587FvHnzMGLEiGC1kxDiI5ZlA+ge9CJodci0EuJoTIuERsCTi8eMGYMxY8bgiSeewIEDB/DRRx/hnXfewcaNGzFs2DDMnz8fN998M1JTU4PRXkKIl6w2h7t03ZuSd6Bj92APY1qNzonFXWVaTVozrDY7hALvMjtCfBW0Qgwej4dp06bh2WefxRdffIE5c+bg4sWLeO655zBz5kzcc889+OKLL4L1coSQXrjmaAHerT0ItJe997T+4JUGZzbVMWjFyoTuooyGFhrjJn0nqMs4HT16FB999BF2794NjUaD4cOH45ZbboFAIMD777+PBx98EEuXLsVvfvObYL4sIaQLprbxLJGABz7fu99PXROMu+seNJpt0LVlYSkqGeBwnscwDJLipKhWt0LdYvAIaIQEU8BB6+LFi/joo4+wY8cOXLlyBQkJCbj11lsxf/58jzGtJUuW4E9/+hO2bNlCQYuQEHCPZ0m8/zHvbUyroa06UCYRQCYRwtChyjApvi1oUTEG6UMBBa358+fj/PnzEIlEmDVrFp588klMmzYNPF7Xv9VNnjwZ7777biAvSQjxUvu2JD4ELVf3YDcl766glRgn7fRYUtuxBip7J30ooKClUCjwl7/8BQUFBYiJien1/FmzZuGzzz4L5CUJIV7ytXIQ6H1ycU9BSxkjBgBoaNFc0ocCClp/+9vfoFKpIJFIunzcZDKhqakJAwcOBABIpVIMGjQokJckhHipfbFc7yv5ehvTcgctZVdBy3mttpWCFuk7AVUPzpo1C3v27On28X379mHWrFmBvAQhxE9Gs2tise/dg92tiKHuIdNSyJ1BS6M3+9ROQnwRUNBi2Z63L7Bard2ObxFC+pYvG0C6uLoH9SYrHF1sT9KocZazJ8V17l1RyJ3dg7SnFulLPncPtra2QqvVur9uaWlBTU3nbba1Wi0++eQTJCUlBdZCQohf/BrTasu0WNbZveiabOziTaZFQYv0JZ+D1saNG/HCCy8AcM7NePrpp/H00093eS7Lsli2bFlADSSE+MfdPejDmJZQwIdIyIfFaofOYOkUtFxjWgldjGm5g1arGSzL0hqkpE/4HLTy8/Mhk8nAsiyeffZZ3HTTTRg1apTHOQzDQCqVYtSoUcjJyQlaYwkh3vOnexAA4mJEqG82oqXVjNQO6wvqjVZ3cUdSD9WDFpsDZovdp7E0Qrzl87tq3LhxGDduHADAaDRi9uzZyM7ODnrDCCGBcVcP+hg84hUS1Dcb0az1XI7JlWXFSIVdPqdExIdQwIPV5oBGb6GgRfpEQO+qhx56KFjtIIQEWXvJu28/5ipF++K3HTVouh/PApw9LAq5CI0aE7R6s3OZJ0KCzKd38/r168EwDB588EHweDysX7++12sYhkFxcbHfDSSE+MfUNqYl9XIvLZf4WGc3X3eZVndBCwCUcjEaNSZoaK4W6SN+Ba1f/OIXEIlEFLQI4TB/x7RU7m1GPINWT5WDLlRBSPqaT+/mH374ocevCSHc4e+Yliq266BV3+TckqSrIgwXRQwFLdK3aOYvIVHKnWn5OKYV3zam1fyjMa3axrZ9tBK633akPdOiVTFI3wh6eY/RaMTHH38Mi8WCGTNm0FqDhIRJ+zJOvo1ptRdieGZatY16AEBqYvcFFq6yd8q0SF8JKGg98cQTOHHiBHbs2AEAsFgsuP3223HhwgUAQGxsLDZt2oSRI0cG3lJCiE8CrR7U6M2w2x3g83kwWWxo1jmzp1QvMi1NK2VapG8E1D146NAhzJ492/31jh07cOHCBfz973/Hjh07kJiY6FWxBiEkuFiW9WsZJ8AZePg8BiwLtLQFn7q2rkG5VIhYmch9rmshAdfqF1SIQfpaQEGroaHBo/tv7969GD16NObOnYvMzEzcfvvtOHHiRMCNJIR4j2VZ2OwO2NsWvPW1EIPHYxDXVvbu6iK80tY1OCDBs2tQKpVi5MiRkEqdxRnKtkVz/S15720RbkIC6h6USqXQ6XQAAJvNhsOHD+Ouu+5yPy6Xy92PE0JCg2EY/O+7avfX//u2Ejyeb+sAus7fc+gyLla24PgFNQDnQro7D5a7z7PZbGhuaUZ8XDwEAoF7FfhGjdHjPG8oY8SYOmagT9eQ/iegoDVq1Chs3boVkydPxr59+6DX6zFz5kz34xUVFUhISAi4kYQQ3zS1rV7B5zF+7SQsEjiLNxpaTIiLdS7rBAAiEd89tgU4tx9SN7aC5UkhFAphtjqLP0wWOxq1JvBo0VwSZAEFrWXLluGBBx7AbbfdBpZlMWfOHIwZM8b9+J49e3DNNdcE3EhCiG+sdgcAQMD3bwTAtYqGq5jDtSlk7I9Wff8xsbC9UtFitftcBEJIbwJ6R+Xk5GDnzp347rvvoFAoMGnSJPdjWq0WP//5zz2OeaO0tBRPPfUUjh07Brlcjvnz52PZsmUQiUTdXlNfX4+NGzfiwIEDqKioQGxsLCZOnIhHHnmESu5Jv2S1BRa0XONgxra5Xq1GZ7b2461KfozHY9yL5lqsDki6/7ElxC8B/xqkUqlwww03dDquUCiwZMkSn55Lo9FgyZIlSE9Px7p161BXV4fVq1fDZDJhxYoV3V53+vRp7NmzB7fddhvGjh2L5uZmvPjii1i0aBF27NgBlUrl8/dFSCSztHXTCfj+dc+5Kg6NJhscLAu9sS3TkvUehURCflvQsvv12oT0JCi5e2trK2pqaqDVarus/pk4caJXz/P2229Dr9dj/fr1iIuLAwDY7XasXLkSRUVFSElJ6fK68ePHY+fOnRAI2r+da665Btdddx22bduG++67z/dvipAI5s60BP5lWq5Jwg0aI/RGKxwswGMAqaT3jwyxkA+90eoe34pkJrMzaMskPWeYJHQCClrNzc1YtWoVPv30U9jtnd+grt1Lz54969Xz7d+/H3l5ee6ABQAFBQV48sknceDAASxYsKDL6xQKRadjqampUKlUqK+v9+6bISSKuIKW0M+glaCQQCjgwWJ14MTFBgDOScfeFFaIhM7XjPRMy2Z34Df/+AL1zQZcPz4Nd954dZc7NpPQCiho/elPf8Lnn3+OxYsXY8KECV0GD1+UlZXhtttu8zimUCiQlJSEsrIyn56rvLwcjY2NGDZsWEBtIiQSWW2u7kH/ghaPx2BAghwVdTpU1DqnrQxJ9e7nW9RWjBHpmVZpVQtqGpzz0/YcroDV5sCjd44Pc6tIQEHrwIEDWLJkCf7v//4vKI3RarVdBj6lUgmNRuP187Asi6eeegrJycm46aab/G4Py7IwGAw+X2c0Gj3+JqFB9719hQrXYrl8nrMs3R/J8RJU1LXPsxyQIOn0XK6vOx4Xto2jGU1Wn17bZmurWDQaOTHJ+Ni5WgBArEwIncGKs5ca/fo86AvR+F539cz1JqCgJZFIOFmdt27dOnzzzTd49dVXIZP5v3uq1Wr1umuzK5cuXfL7WuK//nzfXStU6FqdH65Wixlqtdqv5xKyDve/4+R8tGqb0drNuS0tLe5/Wy3OeVxanR5qtffZFuOIAeDsJeHCh/GRk85u0dyhEnx52oq6JiO+O34aUhF3NseItvd6T1XiLgEFrXnz5mHv3r248847A3kaN4VC0eUKGhqNBkql0qvn2Lp1K1544QX89a9/RV5eXkDtEQqFyMzM9Pk6o9GIS5cuIT093b28Del7dN/h/k2VL3D+8MfGyJGU5H/1bHxNNZp1ZgwbHI+kpM69IFarFS0tLYiLi4NQ6CxWaDFpUKFuBE8gQlJSkvev1bZQ79ChQ8OeaTkcLKo++AIAUDBtBM5fOYm6JiME8lSMyAz/ggnR+F6/ePGiV+cFFLTmzJmDI0eO4P7778fPfvYzpKamgs/vvA3CqFGjvHq+jIyMTmNXOp0OarUaGRkZvV6/Z88e/PnPf8avf/1rLFy40LtvogcMwwSUqUml0oCuJ/6h+w7Y7M4PfbFI4A4m/sjLGYC6JgMy0+J6LMIQCoXu15G2VdpZbaxPr+2q/uXCh3B5jQYGkw1SMR8jM1KQNaQadU3VqFQbMWUMd95b0fRe96ZrEAgwaP385z93//vgwYOdHve1enD69Ol46aWXPMa2du3aBR6Ph/z8/B6vPXToEB555BEsWrQIxcXFPnwXhESfQKsHXZQxYnf5u7dcq2JEcvXgqdJGAMCI9ATw+TxkDo7Dl99X40JlS3gbRgILWs8880yw2gEAKCwsRElJCYqLi1FUVIS6ujqsWbMGhYWFHnO0lixZgpqaGuzZsweAcxWN4uJipKenY/78+fj+++/d56pUKgwZMiSo7SSE6wJdESMQInfQcvRyJnedr2wGAIwY6uxaHZ4WBwC4WNUSphYRl4CC1q233hqsdgBwVglu2rQJq1atQnFxMeRyORYuXIjly5d7nOdwODzmhR0/fhw6nQ46nQ533HFHpzauXr06qO0khOssbSXvgWZa/hBHQcm7a/+wQUnO4pBhg5VgGEDdbESLzuzeuoWEXtBWs6yvr0dTUxOGDBkSUB/rsGHDsHHjxh7PKSkp8fh6wYIF3U48JqQ/4kKmZbM74HCwPm+LwgV1Tc6glaJyfpbJJEIMTJSjWq3HpSsa5MYmh7N5/VrA7+i9e/fixhtvxIwZM3Drrbfi+PHjAICmpibccsst7i48QkjoWK3BGdPyh1DY/pqRmG1ZbXb35peuoAUAKQlyAHBv00LCI6B39L59+/Dwww8jPj4excXFHmWqKpUKKSkp+OCDDwJuJCHEN5YAV8QIBI9hIBJE7lJOrqAkEfGhkLfPG0qOl7U9zo0Jxv1VQO/oF154ARMmTMBbb73V5Vyt3NzcgCbnEkL8E6zqQX+JIriC0NU1mKySeZRhJ8c7S/HVlGmFVUDv6AsXLqCgoKDbxxMTE9HY2BjISxBCfGS3O2B3OHs9wpFpAR2LMSKvgvDH41kuSZRpcUJA72ipVNrjciuVlZUeK7YTQvqea7dhwP+tSQIV0ZlWo3OR3JR4z6DlyrTqmyhohVNA7+jJkydj27ZtsNlsnR5Tq9XYunUrrr322kBeghDiI0Nb0OIxDPhhqtwTta3PF4mFGK4xrZSEHwct59cNGhPs9sjLIKNFQEFr2bJlqK2txcKFC/HOO++AYRh89dVX+Oc//4mbb74ZLMvS6hSEhJgr0wpXlgVE9qoYdU1tmdaPugfjFRLweQwcDhaNbdWFJPQCeldnZGRgy5YtiIuLw9q1a8GyLDZs2ICXX34ZWVlZ2LJlCwYPHhysthJCvOAKWsIwjWcBgEgQuUGrvsmZaSX/qHuQz2OQGEfFGOEW8OTi4cOHY+PGjdBoNLh8+TJYlkVaWhpUKv9XliaE+M/kzrTCN6lXLIrMQgyT2YaWVufWKq55WR0lx8tQ12RAfbMBoxD+1d77I7+DlsViwfbt23HgwAFUVFRAr9dDLpfjqquuwrRp0zB37lyv9kYhhASXO9MKY/dgpBZiuCoD5RIBYqSdV6hPchVjUAVh2PgVtM6dO4df/epXqKmpAcuyiI2NhUwmQ1NTE86cOYNdu3bhpZdewosvvkjb3RMSYu4xrXB2D0bo+oMNGudYlasb8MdcXYbUPRg+PgctvV6PBx98EE1NTVi+fDnmz5/vsQJ7XV0dtm3bhhdffBFLly7F9u3bo2a/F0IigdEU/jEtsTAyV8RobiuwULVtSPljVPYefj6/qz/44ANcuXIFL7/8Mn75y196BCwASElJQVFREV588UVUVVXhww8/DFpjCSG9M3CgejBSuwddaw7Gdxu02jKtFsq0wsXnd/UXX3yB/Px8TJ48ucfz8vLyMHXqVOzbt8/vxhFCfMeFMS2xe6V3FnZH5BRjNPWSaSXESTzOI6Hn87v6/PnzmDRpklfnTpkyBefPn/e5UYQQ/5ks4Vss10Uo4MFVuxhJm0E2a52Vg/GKrvfLcgUzg8nmsfIICR2f39UajQZJSUlenZuYmAiNRuNzowgh/nOPaYUx02IYBsII7CLsLdOSSYSQigUe55LQ8vldbbFYIBB4V7/B5/NhtVp9bhQhxH9cqB4E2osxzJbICVrNurYxrdiugxbQHtAaNTSuFQ5+lbxXV1fj9OnTvZ5XVVXlz9MTQgLAlaDlLMawuvf24jqWZdHU1j2YoOw+aCUoJahWt6JJQ5lWOPgVtNauXYu1a9f2eh7Lsh770RBC+h4XCjGADtuTREimZTDZ3F2Z3VUPAoBKScUY4eRz0HrmmWf6oh2EkCDhwoK5QMey98goxHAFIblE4A64XUlwdw9S0AoHn4PWrbfe2hftIIQEiYEDC+YCkbcqRm9ztFzcY1qUaYVFeN/VhJCgMxidxU8iYbi7ByNrVYzeVsNwSVA6V8WgMa3woKBFSBRhWRYGkzNoCQXdd3GFQuRlWs4ijN6CFmVa4UVBi5AoYjTb4GCd/w53IUakLeXkLnfvNdNqK8TQmMCybJ+3i3iioEVIFNEbneNZPB4DPi+8lbviSCvE0Li6B7teDcPFtVqGze6AVm/p83YRTxS0CIki+rauQbGQH/bpJhHXPejFxGLA2e2qkDv3CqSy99CjoEVIFNFzpAgDiN5CDKBDFyEFrZAL/zubEBI0HTOtcHNlWnYHC5ud+12E7kKMHlbDcFHRXK2woaBFSBRpz7TCH7SEAh5cPZRcz7ZM5vZV2+Njex7TAtqDFmVaoUdBi5Ao4gpaXMi0GIaBSBAZ41qu8SyJiA+ZRNjr+TRXK3woaBESRbiUaQGAWBQZFYSu4NNbubuLqwuRugdDj4IWIVFE37aXlpgDhRhAe8ZnsnB7w8RmLycWu7QXYtD2JKHGjXc2ISQo3JmWiBuZlkTcFrTMkdE96G3QokKM8KGgRUgU4dKYFgBIRM41ubmfabm6B3svwgDaV3pvaTXDHgGVkdGEghYhUYRrY1oSUWTsqeWqAlT1MrHYRRkjBo/HgGWdgYuEDgUtQqJIK4fmaQGARBwpmZYz8HhbiMHjMVC1lcZTF2FoUdAiJIoYONc9GBljWo1a79Yd7IgqCMODghYhUcS1IgZ3ugcjJdPyrRAD6DBXiyYYhxQFLUKiBMuynFp7EOiQaVnsnN3Gw2K1o7XtvvkStNorCKnsPZS48c4mhATMbLXDZncGBu50DzozLS6vP9isc45nCQU8yKW9r4bhQovmhgcFLUKihKFtYjGPCf8GkC4CAQ8CvnMBQq6Oa7WXu0t82s6F5mqFBzfe2YSQgLm6BuVSYdj30uqI6+Na7iIMLxbK7YgWzQ0PzgWt0tJS3HvvvcjNzUV+fj7WrFkDi6X33UE3b96MoqIiTJkyBdnZ2di1a1cIWksId7iCljcLvoZSx3EtLuqYafnC3T1ImVZIcSpoaTQaLFmyBFarFevWrcPy5cuxdetWrF69utdrt2/fjubmZsyYMSMELSWEe1o7ZFpc4p6rZeZmptXQ4iykSIqT+nSdq3qw1Wjl7PcWjQThbkBHb7/9NvR6PdavX4+4uDgAgN1ux8qVK1FUVISUlJQer+XxeKiqqsK2bdtC02BCOMTQVu4ew7WgxfFMyzUm5QpC3pJLhZBLBNCbbKhrNuCqVEVfNI/8CKcyrf379yMvL88dsACgoKAADocDBw4c6PFaHo9T3wohIafnaqbF8TGthraS9cQ437oHASBFJQcA1DcZgtom0j1OfdKXlZUhIyPD45hCoUBSUhLKysrC1CpCIkOre0yLUx0onM+0XN2DvmZaAJCscl5TR0ErZDj17tZqtVAoOqfYSqUSGo0m5O1hWRYGg+9vRqPR6PE3CY3+ft8bW/QAAKVcDJvNBqvV2uev6XqNnl6rbfNiGEzWHs+z2ZwnGo3GkE1EZlnWHbTkYvj8856gEAEAquo0fn1W+Csa3+ssy3pV9cqpoMU1VqsVZ8+e9fv6S5cuBa8xxGv99b5X1DQBcK5A3tzSBHVja8heu6WlpdvHTAZnt6DBaIFare72PMYRAwAoLy8P2Yex3tQ+IbuuuhyNtb5NFXCYnfe4rFKNs2dDP3k62t7rIpGo13M4FbQUCgV0Ol2n4xqNBkqlMuTtEQqFyMzM9Pk6o9GIS5cuIT09HVKp710OxD/9/b4zh78DYEBcrAhCfjxYXt/fA6vVipaWFsTFxUEo7HosTR5rw/flFTDbWCQkJILH6zowuErOMzIyQpZplddoAVxBXIwIY3JG+Xy9kafGzm+PwWQTYOTIkSFrdzS+1y9evOjVeZwKWhkZGZ3GrnQ6HdRqdaexrlBgGAYymczv66VSaUDXE//01/ve2pbRKORimC32boNIXxAKhd2+XqxAAB4DOFjA5mAgF3d9XoxMDJZlIZH4XhDhr1aTc9ghMV7m14d/WmocAKC+xQSJxLcVNYIhmt7r3t47TgWt6dOn46WXXvIY29q1axd4PB7y8/PD3DpCuE2jd66hFxcjhrqZO4UBPIaBTCpEq8GKVqO12+pGkZAPhmFw8EQNNCHaWPFUaSMAwG53YOfBcp+vt9qcxSV6oxV6k41z0w2iEaeCVmFhIUpKSlBcXIyioiLU1dVhzZo1KCws9JijtWTJEtTU1GDPnj3uYydPnkR1dTWampz9+sePHwcAqFQqTJo0KbTfCCEhxrKs+4NeEdP7uECoySXOoOUqy++JptXsXsS2r7nK3QV8nt+vKRbyYbbaUd9kQMyg0A9j9DecClpKpRKbNm3CqlWrUFxcDLlcjoULF2L58uUe5zkcDtjtnuWzmzdvxocffuj++rXXXgMATJo0CSUlJX3feELCyGCyuQsKlDG+raEXCjFSIeoAr4JWKLkWGQ5kmkCMVAiz1Y66Jj0yKGj1OU4FLQAYNmwYNm7c2OM5XQWh1atXe7XcEyHRyJVlScV8zmxL0pGrS7CVY0HLaHYFLf+79eRSIRq1JpqrFSKcmlxMCPGPptW5qDQXsyygPWhxL9Nqm5At9v/3d9f3VtdIQSsUKGgREgVa2jItpZybQSuGg0GLZVl396A0gO5Bhdw5hni5tvN0HRJ8FLQIiQLatspBrmdaBrMNdkdo5jL1xmSxw+5gwSCw7sH4tn24ymo0IZun1Z9R0CIkCrgzLQ5WDgLO9Qf5bZOKXV1y4abTO7tU5VKhu23+UMSIwWMY6I1WGtcKAQpahEQBLcfHtBiG4dy4ls7gvGcxssDmVvF5jHtDyNLq0K+R2t9Q0CIkCrRnWtwMWgD3Kgh1Bmc7YmWBZ6eubU3KKGj1OQpahESB9kyLm92DQHvBQkuIJg73xpVpBSdoOZeAoqDV9yhoERIFIiHTSmzrQnNtBRJu7UEr8KWX2oNWS8DPRXpGQYuQKOCuHpRzN9NybbLY0mqGzR76bTw6YlkWra7uwSDcs0SlBAwDNGnNaNaZAn4+0j0KWoREOIeDdU8ujovlbqYlkwggFfPBskCzNrwf7AaTs/SeYZzrIgZKKODjqlTnIt+HT9d1eU5DixG1jfqAX6u/o6BFSITTGSzuuU8KDmdaDMO4s60GTXiDlrtyUCrsdn8vX113zWAAwJ5Dlz2Ony5rxMN//xz3rvoURas/wyd+rCZP2lHQIiTC1bdtQ6JSiCEUcG/dwY5cpeGNYR7XCmbloMvMiWng8xicq2jGpStaAMDRs3VY8fJB99cOB4sX3z+Bdz87H7TX7W8oaBES4VwTWlNU8jC3pHeJHTKtcK4eEczKQZf4WAkmjUoFALy58yy27j2PVa8dgsXmwKSRqdj8lwLcdePVAIC3Pz0X9i7SSEVBi5AI51qoNUXF/R1sVQoJ+DwGRrMtrKtHNLbtoxXsMcCb8ocCAA6drkXJzrNwOFjMnJCG398zEQq5CLffkIWrr4qHxebAB194t7088URBi5AI155pcT9oCQQ8DBvs3HPqVGljWLItu8OBJo2z2jKprVQ9WMYOT8KTD0zBmMxEyCUCPHjbGCwrHAcB3/lRyzAMCn+SDQD45OAlzsxZiySc20+LEOKburYxreQICFoAMCJdhYuVGqhbjKiqb0VaSmxIX79Za4aDZSEW8gNewqkrE0akYMKIFLAsC4bpXORxTXYyMtPicLGyBZ8dqcBtM4cHvQ3RjIIWIREukroHAeeK6sMGK3GhsgVfHa+BQi4Cn8dgQIIcDhZ9nn2p24pAEuOkXQaVYOnuuRmGwU8mX4WLlS3Y/301BS0fUfcgIRHM4WDd1YORErQAZzdaxiAlGAbQ6i1o1plx5lIT1pQcxb5vq/o0cDW4g5akz16jN1NzBoDPY1BWrUFVPe3D5QsKWoREsGadCVabAzymfSmhSCAU8DB5VCrmTcvA9HGDMH3cIEwamQIej8G5y804erbrCbqBYlnWHbSCPZ7lC2WMGLlZSQCA/ceqw9aOSERBi5AIVt/U3tXlGuyPJDKJEIOSYjAoKQYzJ6Th0Z9fAwbAxSpNn6weodVbYLLYwWOclYzhNH2cczLy/mPVtHmkDyLvXU4Icatrcn6wR8IcLW9MHzcYo4clAACOnVPDEeQP83OXmwEAAxJjwA9zkJ8yOhUCPg/V6lZU1beGtS2RhIIWIREsksrdvTVxRAqEAh5aWs0oD+JWH0azDeVtK1OMSI8P2vP6SyYRYuzwRADAN6euhLk1kYOCFiF95Ltz9Xj2zaP49XOf44PPL7rXBwwmV9CKlHJ3b0jEAozOcGZbZ8qb4AjCfWNZFqdKG+BwsEhQSjgz/jdl9AAAFLR8QSXvhPSBz7+txD+2fOf+urzmNL45dQV/KcqDRBS8H7vSKmcmMiTEc536WubgOJwub0Kr0YrKep17BXVv2OwOXK7Vobq+FSzLgsdjYDBZ0aR1TuQdOVTVp6Xuvpg8KhX/fv84zle0oFFjdC8oTLpHmRYhQXamvBHPv/M9AOfK3/fPGw2ZRICzl5qwedcPQXsdk8WGS7XO7q6sIeHv7gomgYCHrCFxAICz5U1eFypoWs3Y8VU5Dp+uRbW6FTUNelTVt6JJa4aAz2DiyBQMTuZOgI9XSJDd9n936HRtmFsTGSjTIiSIrDY7/vXWMdjsDuTlDMDyO64Bj8dgcHIMVr76DbbvL0VezgCMHJoQ8GuVVmngcLBQKcRhnXPUV7LS4nG2vAnNOjNqmwwYkNBzsUmLzox9RythttohkwiQOTgOEhEfrt7FgYlyyKXBXwEjUHk5A/DD5WYcOF6Dn04dGu7mcB5lWoQE0Y6vynGlUQ+VQoxlhePcezVNGJGCWRPTwLLAyx+eDEqJs6sSLvsq7nR3BZNYxHevU3i2vKnHcy1WO/Yfq4bZaodKIcaNeekYlZGAYYPjMDzN+YeLAQsApo4ZCAA4VdpAux57gYIWIR00aU14+cMTKH52H57ZdBhffu/9xE9Nqxnv7DkHAFhcMAKyH+2Ie9/NoyEV81FWrcHhIHQFna9wBq1o6xrsyBmQnQUnTd1s5cGyLI6crYPeZIVcKsT149MgFnJ7X7GOUhPkGJ4WBwcLfH2SCjJ6Q0GLkDZny5uwdPVe7PiqHBW1Ohw8cQVrSo7ilW0nvar827L7B+hNNmQMUmLmhCGdHlfIRbgpPwMA8NaecwFnW+faglZ2FAetGKkQQ1KdY1Cnyxq7PKesWoOKWh0Yxrk8kiiCApbLtNxBAICvvq8Jc0u4j4IWIQBq1K1Y9dohGM12ZKbF4bd3jcctM4YBAD76sgzPv3OsxyBTUavFrm+c26w/MG90t1u43zJjGCQiPkqrNDgSwFJFjRojGlqM4DFAZlqc388TCUamJ4ABUFXfihq15yRcTasZ3/5QDwAYk5nImVJ2X+W7ugjLGqBu7n1XZ4ZhIJX27YK/XEVBi/R7VpsdT71+GDqDBZlpcXjmwXxMH+es+vu/xRPA4zHYd7QS7352ocvrWZbFq9tPweFgMWV0KnIyE7t9LWWM2L1R4Fuf+p9tuboX0wcqIRVHdz1VXKwYWVc5s8mjZ+thtTkAOCcLf3W8BnYHixSVDCPSVWFro0TEDyhzTlbJkDMsESwL7Py6vNfzpVIpRo4cCak0OEE6kpaRiu53OyFe2Lr3AirrdIiLEWPF/ZMhaQsCLMtiWu4g6AwWvPj+CZTsPIsBiXJ3V47L3sMVOHZeDQGfh3vnjur19W69LhM7DpTjYmULjp6tw8SRqT632ZXVzZyQ5vO1kShnWCIq63TQm6z49NBlDE+Lw/mKZugMVkjFAuTlDAhr1iES8sEwDA6eqIGm1b+NHQclyXGytAEffVmGuBgxhILucwqbzYbmlmbEx8VDIAjsY1wZI3YXg0QCClqkX7t8RYv39p0HABQtyEF8bHvpuOtDiAEwNjMRxy824LnN3+JCRTMGJDrLrzWtZmxty8AmjkjG8QtqHL+g7vV1R6Sr8P15NV764ATUzQafPnDrmw0oq9aAx2PgsDuw82D7b+YDk2IwdniS188VKYQCHq4dOxBffl8Nrd7i7hKUSwS4fkIaZ7JNTasZzX7uRqyMFUMuEUJvsuL7C2pkDo7r9lyr1Qp1YytYnhRCITerIvsKN/6nSb/DsiwOnryC4xfUMBhtyBoShxsmDelUcdeX7A4W67Z+D5udxeRRqe5xhY5cH0JXD1WhQWNCtboV2/eXYfSwBEjFAnx/Xg2rzYHEOCmGDFB4/YE1dIACJy82oL7ZiDPlTRiYFON1u4+dcwbFtOQYGC12GC1292MKucjr54k0CUopbpySjuMXG2A02xAfK0bWkHjOBKxA8RgGWUPicOy8GqdKG5CWHAuxKPKKSvpadPxvk4hS26jHP9/6Dmc6zL3537EqbNn9A35TOA55OaHpqtjxVRnOVTRDJhHgwdvG9Jjt8BgGeTkD8PXJGlSr9ThxscH9WHysGPljBoDnQ7YkEQswPC0OP1xuxqmyRgxIlHuVbdU26lHatohsT7+JRyuJWIDJo3zvTo0UmWlxKK3WQKu34MiZWuSPHejxvtCbrKht0MNotsJosEAea4OSMi1C+o662Yg/vHgA9c1GiEV8zJlyFRRyEb74tgpV9a14euMR3P3TEVg4c7hPXWYsy8JkscNm925A+XKtFiU7zwIA7pk7yqs134QCHqblDkJplQaXrmjhcLBIjJdiTGaiX3tZXZ2uwoXKFjRqTKhp0GNQL9lWq8GCg23zeIYNUkbVIrnEScDnIS9nAD49dBmV9a34/NsqXDVAAaPZhur61k5z1S5eqUBaSgwmjEgJ6pqWXNY/vkvCCU1aE/7wkjNgDUyUY9XSqUiOd37wLrx+ODb89zT++2UZ3vjkLAwmG+7+6YheA5fOYMH2/5Vi//fVuNLg3FtqwN5mXD9hCAry0hEXK+50jcFkxTMbj8BssSM3KwlzJl/l9ffAMAwy0+KCUmYu7ZBtHT5di4K8dHcRyI/VqFvx9akrsFgdiIsR45qrkwN+fcJNKoUEE0ek4OgP9ahrMrhX8ndJjJNCLuGjWWuE1mBHZV0r1M1GXDt2IJLio/8XGQpaJCQ0rWb88aWDuNKgR7JKhqeW5iMpvj274fN5+OUtOUiOl2HDR6fw3r4LMFvt+MX80V0GLpZl8dXxGvznw5No+VG11pVGA7bs/gEffH4BN0/LwK3XZSJWJnK345lNR1CtbkWCUoLH7hzf7ZyqUMjJTERNgx5avTOLmpY7yKNqTGew4PiFBlTW6QA4P9Cm5Q6MyF2KifeGDY5DikqG0+VNMJptEPJ5SFHJMCg5BlKxwFmIoVZDIFHgyFk1tHoLPv+2CvljBmJQsvfjo5GIghbpczqDBX96+SAq63RIUErw16VTPQJWR7fMGAaxiI9/v3cc//2yDCazDUULxngsy1PXZMB/PjyJw2ecc5UGJ8egcHY2rh4Sg3PnzsPAqLD7cDUuVrbg3c8u4OMD5Rh/dQqkYgEOn6lFi84MmUSAx++eCGVM50wslAR8Z1Xc7m8uo67JgF1fX8LwIXHg8xjUNhqc22sAYAAMHxKH3OFJYd9xl4RGjEzU6/hdfKwYc6ZchQPHa1DToMeXx6sxaWQqMgYpe7zOaLahsk6H2kY9WBb45nQtxmcnY1ruIMQruL34MgUt4jOL1Y5GjQlyqRCxMmGPXXiaVjNWvvoNymu0iIsV468P5iO1l9W6C/LSIRLw8Pw7x7DncAVOljbgpvwMxMeKcbqsEXsOV8Bmd0DAZ7BoVhYWzRoOoYAPo9GIxPgYDB06CHPyhuHw6Vq8uesHXLqi9VhDcGCiHH+8bzLSOLIHlTJGjOvHD8bBk1fQarS6qwNdBiTKMXZ4okc5PiEuAr5zrPXwmVqU12hx6HQtdAYLcoYldupFMJisOHupCRfbdghwqWnQ47sf6lGy8yzuvHEEbp6WAX4YeyB6QkGLeEWrt2DPocv44rsqXGrbshwA5FLnluHjspJxTXayuziAZVmcuNiAf731HRo0JsTKRHiqaGqvxQYusyYOgTJGjPXvfo/aRgM2fHTK4/GxwxPxi1tyPDYHdK0S4DJ59ABMHJmKU2UNOHe5GXqjFSMzEjB2eBLnFlRNipehIC8d5yua0aIzw2p3ltEPTo6hYEV6xeMxmDwqFRKRc9+2M+VNuNKgR9aQeMTFit2Z1eUrOjjaVr9QKSRIS4lBqkqGtFQFPv+2EqVVGmz46BS+/aEOv1s8ATEy7k2hoKBFemQy27D9y1J88PlFGEw293GRgAeLzQG90YqDJ67g4AlnVdugJDkGJMagttG5+R7g/OH4yeQhOFPeiDPlXS962p1bZwzD6bJG1DYaYDDbkBQnxdCBCgxOjsGZskac6bCIak+rBMRIhYiRCtHYYsS+IxW9vm44JumKhHyMHtb9ElCE9IRhGORmJUGlEOPImTo068xdbiyZHC/FqIwEpKhkYBgG8bFiFEwdipuvzcCew5fx6vZT+P68Go89vx9/un+K179ohgrnglZpaSmeeuopHDt2DHK5HPPnz8eyZcsgEvUc8VmWxSuvvIItW7agqakJI0aMwO9//3vk5uaGpuFRxm53YO+RSmzZfda9TfnQgQrclJ+BSaNSEBcjhtXmQFmNBsfOqXHsXD3OVTSjWq1HtdpZxScS8jFrQhoGJcmhN9n8XikgfaAS6QM9++hbWi2dzgvmKgHRPEmXRLchqQokxctQVq3B5VotLFZnV3pqghxXpcZ2W2HI4zGYMyUdWUPi8ZcNh1Ct1uPRtfvxu8UTMC6bO9WqnApaGo0GS5YsQXp6OtatW4e6ujqsXr0aJpMJK1as6PHaV155Bc8//zwee+wxZGdnY/Pmzbjvvvuwfft2pKX1j/XZfoxlWVTVt+J8RTNqGw3Q6M3gMwxkUiFSVTKkJsqRqpIjQSkBj8eAZVmoW4w4dKoWO78uR2WdM1NKUcmwuGAEpuUO8ugjFwn5uPoqFa6+SoU7fpINvdGKk6UN0OotiJEKMSYzETEyEXYeLIe+Q5ZGCOlbUrEAozISMCrD9x2yhw5U4h/LpuOZjUdw9lIT/vzqN3hg3mjMvXYoJ1aV51TQevvtt6HX67F+/XrExcUBAOx2O1auXImioiKkpKR0eZ3ZbMbLL7+M++67D/fccw8AYPz48bjxxhuxYcMG/PnPfw7NN9BHWJb1+s1ittpx8mIDDp2uxZEztWjU9L4TqlDAg0wigMXqgNHcHlxiZUL8bHY2fjo1HUJB72NAcqkQU0YP8KqdhBDuio+V4K8PTsX6d49j39FK/GfbSZwsbcCDt40J+xgrp4LW/v37kZeX5w5YAFBQUIAnn3wSBw4cwIIFC7q87rvvvkNraysKCgrcx0QiEWbPno09e/b0dbP7hNVmh8lih8Vqh9XmwLc/1EFvtILHMGAYBjwGsNkdMFnt0OktqGsyoqahFfVNRvdAKwAI+AyS4mWIjxVDJhEArLPcVau3QKO3oNVggdXmgKatu43HOCcvZg2JR/aQeIgEPOw93PsYUFeidfFWQvoDoYCPZYXjkD5AgTc+OYOvT17B9+fVmDctAwVT071aRaYvcCpolZWV4bbbbvM4plAokJSUhLKysh6vA4CMjAyP48OGDcOmTZtgMpkgkYT2twO7g0VLqxkGCwOb3QGrzQGb3fnHbLFDo7dAq7dA22qGVm9Bi865MGuzzoRmnRl6o9Xv15ZJBBiYGINByTFIiZf2OK/H4WBhMFlhs7Pg8ZzZEp/nPN9gtsFg9r9bj8aFCIlsDMPg1usykZuVhLXvHENplQbv7D2PrZ+dx9VXqTAiXYWBSXLEKyRQxUpw1QBFj1uqBAOngpZWq4VCoeh0XKlUQqPR9HidSCSCWOw5UVShUIBlWWg0Gp+DltVqdZZtnzjh03UA4HA4oDPacebs+R7PEwJIEDn/IB5w/nfEtP3xDgOA4THgMwz4fAZ8Pg+e0yt67x70ZO/9FC8J7CacPNmERLENKmFoNpnLSlKAx7MC8D/oA+FpezDQPQ+PSL7vPJ4RJ0+e7HUjyPtmqWC2KGEw29wbcQKtgLkVWjWgVQPVFTzEd7F0mjesVqtXwyCcClpc4rp5/gw88vl895p6BBG9kGektj1S2w1Q28PFm886iVjQ7fqYwXj9iAtaCoUCOp2u03GNRgOlsvtlSRQKBSwWC8xms0e2pdVqwTBMj9d2Z9y4cT5fQwghpG9xahGzjIyMTmNXOp0OarW603jVj68DgPLyco/jZWVlGDhwYMjHswghhPQNTgWt6dOn4+DBg9Bq25cJ2rVrF3g8HvLz87u97pprrkFMTAx27tzpPma1WvHpp59i+vTpfdpmQgghocOp7sHCwkKUlJSguLgYRUVFqKurw5o1a1BYWOgxR2vJkiWoqalxl7OLxWIUFRVh3bp1UKlUyMrKwltvvYWWlhbcf//94fp2CCGEBBmngpZSqcSmTZuwatUqFBcXQy6XY+HChVi+fLnHeQ6HA3a7Z5XbL37xC7Asi9dee829jNOGDRv67WoYhBASjRi2tzpHQgghhCM4NaZFCCGE9ISCFiGEkIhBQYsQQkjEoKBFCCEkYlDQIoQQEjEoaBFCCIkYFLSCqLS0FPfeey9yc3ORn5+PNWvWwGLpvC08CZ4PPvgA2dnZnf78/e9/D3fTosrly5exYsUKzJ8/HyNHjsTcuXO7PO/dd9/FnDlzkJOTg3nz5uHzzz8PcUujhzf3fPHixV2+/0tLS8PQ4tDg1OTiSKbRaLBkyRKkp6dj3bp1qKurw+rVq2EymbBixYpwNy/qvfrqq4iNjXV/3d0u18Q/Fy5cwP/+9z+MHTsWDoejy20sPv74Y/zpT3/C0qVLMWXKFHzyySd46KGHsHnzZuTm5oa+0RHOm3sOOJex+93vfudxbPDgwaFoYlhQ0AqSt99+G3q9HuvXr3fvvGy327Fy5UoUFRXRh2gfGzVqFFQqVbibEbVmzpyJG264AQDw+OOP49SpU53Oef7553HTTTdh2bJlAIApU6bg/PnzeOGFF/DKK6+EsrlRwZt7Djh3uehPvxRQ92CQ7N+/H3l5ee6ABQAFBQVwOBw4cOBA+BpGSBDweD1/VFRWVuLSpUsoKCjwOP7Tn/4UX3/9NXWT+6G3e95f0V0JkrKysk7bpygUCiQlJXXaboUE39y5czFixAjMmjULL7/8cqe1KUnfcr3Hhw4d6nF82LBhsFqtqKysDEez+oXDhw8jNzcXOTk5uOuuu3DkyJFwN6lPUfdgkGi1WigUik7HlUolNBpNGFrUPyQlJeHhhx/G2LFjwTAM9u3bh3/961+oq6ujscQQcr3Hf/wz4Pqafgb6xsSJEzF//nykp6ejvr4eGzZswL333ouSkpKo3ciWghaJaNOmTcO0adPcX1977bUQi8XYtGkTli5diuTk5DC2jpC+9etf/9rj6+uuuw5z587Fv//976gdR6TuwSBRKBTQ6XSdjms0GiiVyjC0qP8qKCiA3W7H2bNnw92UfsP1Hv/xz4BrQ1f6GQgNmUyGGTNm4PTp0+FuSp+hoBUkGRkZncaudDod1Gp1p7EuQqKN6z3+45+BsrIyCIVC2teOBA0FrSCZPn06Dh486P7NEgB27doFHo+H/Pz8MLas//nkk0/A5/MxcuTIcDel30hLS0N6ejp27drlcfyTTz5BXl4eRCJRmFrWvxgMBnzxxRfIyckJd1P6DI1pBUlhYSFKSkpQXFyMoqIi1NXVYc2aNSgsLKQ5Wn3o/vvvx+TJk5GdnQ0A+Oyzz7B161bcfffdSEpKCnProofRaMT//vc/AEB1dTVaW1vdAWrSpElQqVR4+OGH8dhjj2HIkCGYPHkyPvnkE5w4cQJvvvlmOJsesXq752VlZXj11Vcxe/ZsDBo0CPX19Xj99dehVquxdu3acDa9T9HOxUFUWlqKVatW4dixY5DL5Zg/fz6WL19Ov2X2oaeeegpffvklamtr4XA4kJ6ejkWLFmHx4sVgGCbczYsaVVVVmDVrVpePvfHGG5g8eTIA5zJOr7zyCmpqajB06FA88sgjuP7660PZ1KjR2z1PTU3FX/7yF5w7dw4tLS2QSqUYN24cHnroIYwZMybErQ0dClqEEEIiBo1pEUIIiRgUtAghhEQMClqEEEIiBgUtQgghEYOCFiGEkIhBQYsQQkjEoKBFCCEkYlDQIoQQEjEoaBHShUOHDiE7OxuHDh0Kd1O69cEHHyA7OxtVVVXhbgohIUNBixCOe+mll7B3795wN4MQTqCgRQjHvfzyy10Grfnz5+PEiRMYNGhQGFpFSHjQKu+ERCg+nw8+nx/uZhASUpRpkahWV1eH3//+95g6dSpGjx6Nm266Ce+9957HObW1tfjVr36F3Nxc5OXl4emnn4bFYun0XDNnzsTjjz/e6fjixYuxePFij2Nmsxnr1q3DnDlzkJOTg2uvvRYPPfQQKioq3Ods2LABhYWFmDx5MsaMGYMFCxZ02o8qOzsbBoMBH374IbKzs5Gdne1uQ3djWps3b8ZNN92E0aNH49prr8XKlSs99nlztXnu3Lm4ePEiFi9ejLFjx2LatGl+bdE+c+ZMFBUV4ejRo1i4cCFycnIwa9YsbNu2zeO8devWubeQ6air78P1nIcOHcKCBQswZswY3Hzzze4xxk8//RQ333wzcnJysGDBApw5c8bndpPIRJkWiVoNDQ24/fbbwTAM7rzzTqhUKuzfvx9/+MMf0NrainvuuQcmkwlLlizBlStXsHjxYiQnJ2P79u345ptv/H5du92OoqIifP3117jppptw9913Q6/X48CBAzh//jyGDBkCwLm9xMyZM3HzzTfDarXi448/xm9+8xu8/PLLuO666wAAa9aswR//+EeMGTMGt99+OwC4r+/KunXrsH79ekydOhV33HEHysvL8dZbb+HkyZN46623IBQK3edqNBo88MADmD17NgoKCrB79278/e9/R1ZWFmbMmOHT93z58mX85je/wcKFC3Hrrbfi/fffx+OPP45Ro0Zh+PDhPt7B9ud89NFHUVhYiHnz5uG1117D0qVLsXLlSvzzn//EHXfcAQD4z3/+g2XLlrk3XSVRjiUkSj3xxBNsfn4+29TU5HF8+fLl7Pjx41mj0chu3LiRzcrKYj/55BP34waDgZ09ezablZXFfvPNN+7j119/Pfu73/2u0+vcdddd7F133eX++r333mOzsrLY119/vdO5DofD/W+j0ejxmMViYefOncvefffdHsdzc3O7fN3333+fzcrKYisrK1mWZdnGxkZ21KhR7H333cfa7Xb3eW+++SablZXFvvfeex5tzsrKYj/88EP3MbPZzObn57MPP/xwp9fqyfXXX89mZWWxR44ccR9rbGxkR48eza5evdp97Pnnn2ezsrJ6/T46Pud3333nPvbll1+yWVlZ7JgxY9jq6mr38bfffrvT/xWJXvRrCYlKLMvi008/xcyZM8GyLJqamtx/rr32Wuh0Opw+fRr79+9HUlISbrzxRve1UqnUndX449NPP0V8fDzuuuuuTo913JhSIpG4/63RaKDT6TB+/Hi/u7oOHjwIq9WKu+++2yPjWLRoEWJiYty74LrIZDLMnz/f/bVIJEJOTg4qKyt9fu3MzExMmDDB/bVKpcLQoUP9eq6Ozzlu3Dj312PHjgUATJkyBQMHDux0PJDXIpGDugdJVGpqaoJWq8U777yDd955p9tzqqurcdVVV3Xa5Xjo0KF+v3ZFRQWGDh0KgaDnH6/PP/8cL774Is6ePesxhubvjss1NTUAgIyMDI/jIpEIaWlpqK6u9jiempra6bWUSiXOnTvn82sPGDCg0zGlUgmNRuPzc3X3nLGxsQCc7e4oJiYGADqN25HoREGLRCWHwwEAmDdvHm699dYuz+mqKMAfdrvd5yq+o0eP4sEHH8TEiRPx5JNPIikpCUKhEO+//z527NgRlHb1JpiVh948V3fB2G63+/Sc3R1naRP2foGCFolKKpUKcrkcDocDU6dO7fa8QYMG4fz582BZ1uNDtby8vNO5SqWyy9/ma2pqkJaW5v56yJAhOH78OKxWq0fhQ0e7d++GWCzGhg0bIBKJ3Mfff/99r76/rri6zMrKyjzaY7FYUFVV1eN9CAWFQgHAmRG5/g20Z4iEeIPGtEhU4vP5mDNnDnbv3o3z5893erypqQkAMH36dNTX13uUmhuNRmzdurXTNWlpaTh+/LhHV97nn3+OK1eueJz3k5/8BM3Nzdi8eXOn53BlA3w+HwzDeGQZVVVV+OyzzzpdI5PJvOr6mjp1KoRCIUpKSjyyjvfeew86nc7nisBgc1U9HjlyxH3MYDB0Ko0npCeUaZGo9eijj+LQoUO4/fbbsWjRImRmZkKj0eD06dP4+uuvcfjwYdx+++3YvHkzfve73+H06dNISkrC9u3bPYokXBYtWoTdu3fjgQceQEFBASoqKvDf//63Uwn6Lbfcgm3btuGZZ57BiRMnMH78eBiNRnz99de44447cMMNN2DGjBl4/fXX8cADD2Du3LlobGzEli1bMGTIkE5jSqNGjcLXX3+N119/HcnJyRg8eLC7+KAjlUqFoqIirF+/Hg888ABmzpyJ8vJybNmyBTk5OZg3b15wb7CP8vPzMXDgQPzhD39AWVkZ+Hw+3n//fcTHx1O2RbxGmRaJWomJiXj33XexYMEC7NmzB6tWrcIbb7wBjUaDxx57DICzUnDjxo3Iz8/Hm2++iRdffBHjx4/Hb3/7207PN23aNDz++OO4dOkSnn76aXz//fd46aWXOhUG8Pl8vPLKK1i6dCmOHz+OZ555Bhs3boRcLnePo+Xl5eGvf/0rGhoa8PTTT+Pjjz/GY489htmzZ3d6Xdd8p3/961945JFH8NZbb3X7PT/88MNYsWIFampq8Mwzz2Dnzp24/fbb8dprr3XbVRkqQqEQ69evx5AhQ7B27VqUlJRg0aJFXVZZEtIdhqXRS0IIIRGCMi1CCCERg8a0CCFdampq6rYcHXB298XFxYWuQYSAugcJId2YOXNmpwnJHU2aNAklJSUhbBEhFLQIId349ttvYTabu31coVBg9OjRIWwRIRS0CCGERBAqxCCEEBIxKGgRQgiJGBS0CCGERAwKWoQQQiIGBS1CCCERg4IWIYSQiEFBixBCSMSgoEUIISRi/D9Ie0yuRZxzEAAAAABJRU5ErkJggg==\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[4;1mCalculation\u001b[0m\n", + "stat=806.413, p=0.000\n", + "\n", + "\u001b[4;1mResult for feature \u001b[34meducation_num\u001b[0m\n", + "\u001b[91;1mprobably non-gaussian\u001b[0m\n" + ] + } + ], + "source": [ + "plot_normaldist_prob('education_num')" + ] + }, + { + "cell_type": "markdown", + "id": "e7d6b55a-cdc5-4261-969f-66c32a866d3f", + "metadata": {}, + "source": [ + "So, no feature has a real normal, gaussian distribution with its values.\n", + "\n", + "**Next topic** is the analysis of the features **cardinality**. Have in mind, our additionally created attributes are still part of the dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "id": "3a4ce5f4-7b0e-437f-8dba-d6c2322d72c9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_orig_copy.loc[:].nunique().sort_values(ascending=False).plot.bar(figsize=(6, 3), alpha=0.7)\n", + "plt.ylabel('Size', fontsize=10)\n", + "plt.xlabel('Features', fontsize=10)\n", + "plt.title('General Census Dataset Feature Cardinalities', fontsize=11, fontweight='bold');" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "id": "36b07249-dcb2-4111-80c9-e9e3066ce264", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# do the same without fnlgt attribute, getting an overview of the other ones\n", + "df_orig_copy.loc[:, ~df_orig_copy.columns.isin(['fnlgt'])].nunique().sort_values(ascending=False).plot.bar(figsize=(7, 3), alpha=0.7)\n", + "plt.ylabel('Size', fontsize=10)\n", + "plt.xlabel('Features', fontsize=10)\n", + "plt.title('General Census Dataset Feature Cardinalities (without fnlgt)', fontsize=11, fontweight='bold')\n", + "plot_name = 'census_cardinality_notFnlgt_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "markdown", + "id": "433edd98-27fa-43d0-bbf7-c3572e39e095", + "metadata": {}, + "source": [ + "**Note:** Regarding cardinality only the attribute _fnlgt_ has to be changed, all others are fine. So, now we create new bins for fnlgt to reduce the amount of value variation." + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "id": "a969cd94-c621-4a9c-b12e-70a1df4098af", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "max value of column fnlgt: 1484705\n" + ] + } + ], + "source": [ + "print(f\"max value of column fnlgt: {max(df_orig_copy['fnlgt'])}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 91, + "id": "5a21645d-946a-41ed-b5de-399db78a7e1c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "min value of column fnlgt: 12285\n" + ] + } + ], + "source": [ + "print(f\"min value of column fnlgt: {min(df_orig_copy['fnlgt'])}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 92, + "id": "d808d4f1-62e4-4eaf-98ad-cb4deacca223", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "x in range: [0, 50000, 100000, 150000, 200000, 250000, 300000, 350000, 400000, 450000, 500000, 550000, 600000, 650000, 700000, 750000, 800000, 850000, 900000, 950000, 1000000, 1050000, 1100000, 1150000, 1200000, 1250000, 1300000, 1350000, 1400000, 1450000, 1500000]\n" + ] + } + ], + "source": [ + "# note: set has a better performance compared to list, but throws TypeError in cut()\n", + "r = list(range(0, 1550000, 50000))\n", + "print(f'x in range: {r}')" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "id": "60a94ed8-c27b-4fd8-9189-3061e30ff99d", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy['mod_fnlgt'] = pd.cut(df_orig_copy['fnlgt'], r, right=False, labels=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 94, + "id": "3623b8f4-c0f1-48cc-a61f-10afbf5f88c6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([ 1, 4, 6, 5, 3, 0, 2, 7, 10, 8, 9, 12, 17, 20, 11, 13, 15,\n", + " 18, 14, 23, 19, 24, 16, 29, 25, 27, 21, 22])" + ] + }, + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy['mod_fnlgt'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 95, + "id": "e3218bff-36b6-4a72-bfd7-8cd44ea16945", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ageworkclassfnlgteducation_nummarital_statusoccupationrelationshipracesexcapital_gaincapital_losshours_per_weeknative_countrysalaryeducation_level_numage_groupeducation_level_groupmod_fnlgt
\n", + "
" + ], + "text/plain": [ + "Empty DataFrame\n", + "Columns: [age, workclass, fnlgt, education_num, marital_status, occupation, relationship, race, sex, capital_gain, capital_loss, hours_per_week, native_country, salary, education_level_num, age_group, education_level_group, mod_fnlgt]\n", + "Index: []" + ] + }, + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.loc[df_orig_copy['mod_fnlgt'].isna()]" + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "id": "da40d7c2-c706-459a-8fba-82102e80cf59", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy['mod_fnlgt'] = df_orig_copy['mod_fnlgt'].apply(lambda value: r[value+1])" + ] + }, + { + "cell_type": "code", + "execution_count": 97, + "id": "e02afcbf-c1f7-4b8d-b986-b3c808a46875", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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ageworkclassfnlgteducation_nummarital_statusoccupationrelationshipracesexcapital_gaincapital_losshours_per_weeknative_countrysalaryeducation_level_numage_groupeducation_level_groupmod_fnlgt
039State-gov7751613Never-marriedAdm-clericalNot-in-familyWhiteMale2174040United-States03adulthigh100000
150Self-emp-not-inc8331113Married-civ-spouseExec-managerialHusbandWhiteMale0013United-States03adulthigh100000
238Private2156469DivorcedHandlers-cleanersNot-in-familyWhiteMale0040United-States02adultaverage250000
353Private2347217Married-civ-spouseHandlers-cleanersHusbandBlackMale0040United-States02olderaverage250000
428Private33840913Married-civ-spouseProf-specialtyWifeBlackFemale0040Cuba03adulthigh350000
537Private28458214Married-civ-spouseExec-managerialWifeWhiteFemale0040United-States03adulthigh300000
649Private1601875Married-spouse-absentOther-serviceNot-in-familyBlackFemale0016Jamaica01adultlow200000
752Self-emp-not-inc2096429Married-civ-spouseExec-managerialHusbandWhiteMale0045United-States12olderaverage250000
831Private4578114Never-marriedProf-specialtyNot-in-familyWhiteFemale14084050United-States13adulthigh50000
942Private15944913Married-civ-spouseExec-managerialHusbandWhiteMale5178040United-States13adulthigh200000
\n", + "
" + ], + "text/plain": [ + " age workclass fnlgt education_num marital_status \\\n", + "0 39 State-gov 77516 13 Never-married \n", + "1 50 Self-emp-not-inc 83311 13 Married-civ-spouse \n", + "2 38 Private 215646 9 Divorced \n", + "3 53 Private 234721 7 Married-civ-spouse \n", + "4 28 Private 338409 13 Married-civ-spouse \n", + "5 37 Private 284582 14 Married-civ-spouse \n", + "6 49 Private 160187 5 Married-spouse-absent \n", + "7 52 Self-emp-not-inc 209642 9 Married-civ-spouse \n", + "8 31 Private 45781 14 Never-married \n", + "9 42 Private 159449 13 Married-civ-spouse \n", + "\n", + " occupation relationship race sex capital_gain \\\n", + "0 Adm-clerical Not-in-family White Male 2174 \n", + "1 Exec-managerial Husband White Male 0 \n", + "2 Handlers-cleaners Not-in-family White Male 0 \n", + "3 Handlers-cleaners Husband Black Male 0 \n", + "4 Prof-specialty Wife Black Female 0 \n", + "5 Exec-managerial Wife White Female 0 \n", + "6 Other-service Not-in-family Black Female 0 \n", + "7 Exec-managerial Husband White Male 0 \n", + "8 Prof-specialty Not-in-family White Female 14084 \n", + "9 Exec-managerial Husband White Male 5178 \n", + "\n", + " capital_loss hours_per_week native_country salary education_level_num \\\n", + "0 0 40 United-States 0 3 \n", + "1 0 13 United-States 0 3 \n", + "2 0 40 United-States 0 2 \n", + "3 0 40 United-States 0 2 \n", + "4 0 40 Cuba 0 3 \n", + "5 0 40 United-States 0 3 \n", + "6 0 16 Jamaica 0 1 \n", + "7 0 45 United-States 1 2 \n", + "8 0 50 United-States 1 3 \n", + "9 0 40 United-States 1 3 \n", + "\n", + " age_group education_level_group mod_fnlgt \n", + "0 adult high 100000 \n", + "1 adult high 100000 \n", + "2 adult average 250000 \n", + "3 older average 250000 \n", + "4 adult high 350000 \n", + "5 adult high 300000 \n", + "6 adult low 200000 \n", + "7 older average 250000 \n", + "8 adult high 50000 \n", + "9 adult high 200000 " + ] + }, + "execution_count": 97, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.head(10)" + ] + }, + { + "cell_type": "markdown", + "id": "c89056e5-f540-42ae-923b-36811a0d8e79", + "metadata": {}, + "source": [ + "**Finally,** we have to remove the additionally created attributes used during this EDA, which are:\n", + "- age_group\n", + "- education_level_num\n", + "- education_level_group\n", + "\n", + "and the original _fnlgt_. Then we create another profiling report with the modified dataset.\n", + "\n", + "Have in mind, not knowing the importance of the original _fnlgt_ feature, it seems as if it has no added value. So, it looks a little bit like an index, therefore it could be a good idea to remove such column completely for our model workflow. We work with such assumption in the first place during implementation of the ml workflow." + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "id": "1305260e-63e5-4978-a2b7-fc4c5fe3c71e", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy.drop(columns=['fnlgt', 'age_group', 'education_level_num', 'education_level_group'], inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 99, + "id": "9e8d0b1d-7f73-4295-b465-8977ab199126", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 32537 entries, 0 to 32560\n", + "Data columns (total 14 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 32537 non-null int64 \n", + " 1 workclass 32537 non-null object\n", + " 2 education_num 32537 non-null int64 \n", + " 3 marital_status 32537 non-null object\n", + " 4 occupation 32537 non-null object\n", + " 5 relationship 32537 non-null object\n", + " 6 race 32537 non-null object\n", + " 7 sex 32537 non-null object\n", + " 8 capital_gain 32537 non-null int64 \n", + " 9 capital_loss 32537 non-null int64 \n", + " 10 hours_per_week 32537 non-null int64 \n", + " 11 native_country 32537 non-null object\n", + " 12 salary 32537 non-null int64 \n", + " 13 mod_fnlgt 32537 non-null int64 \n", + "dtypes: int64(7), object(7)\n", + "memory usage: 3.7+ MB\n" + ] + } + ], + "source": [ + "df_orig_copy.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 100, + "id": "0ad2f231-b7fe-4357-83df-e241eae83411", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "df_orig_copy.loc[:].nunique().sort_values(ascending=False).plot.bar(figsize=(6, 3), alpha=0.7)\n", + "plt.ylabel('Size', fontsize=10)\n", + "plt.xlabel('Features', fontsize=10)\n", + "plt.title('Modified Census Dataset Feature Cardinalities', fontsize=11, fontweight='bold')\n", + "plot_name = 'census_cardinality_modifiedDataset_plot.png'\n", + "plt.savefig(os.path.join(get_plots_path(),str(plot_name)), bbox_inches='tight');" + ] + }, + { + "cell_type": "code", + "execution_count": 101, + "id": "b1d9e9ce-1da4-4e92-b901-469cea5ac83b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[4;1mWith mod_fnlgt: Are there null values or duplicated rows?\u001b[0m\n", + "\u001b[34;1mnull values:\u001b[0m\n", + "age 0\n", + "workclass 0\n", + "education_num 0\n", + "marital_status 0\n", + "occupation 0\n", + "relationship 0\n", + "race 0\n", + "sex 0\n", + "capital_gain 0\n", + "capital_loss 0\n", + "hours_per_week 0\n", + "native_country 0\n", + "salary 0\n", + "mod_fnlgt 0\n", + "dtype: int64\n", + "\u001b[34;1mduplicated rows:\u001b[0m 873\n" + ] + } + ], + "source": [ + "print(esc('4;1') + 'With mod_fnlgt: Are there null values or duplicated rows?' + esc(0))\n", + "print(esc('34;1') + 'null values:' + esc('0') + f'\\n{df_orig_copy.isnull().sum()}')\n", + "print(esc('34;1') + 'duplicated rows:' + esc('0') + f' {df_orig_copy.duplicated().sum()}')" + ] + }, + { + "cell_type": "code", + "execution_count": 102, + "id": "bbf76484-8683-4eab-bdfe-8aff1854d4cf", + "metadata": {}, + "outputs": [], + "source": [ + "# still using the original index values (default is ignore_index=False)\n", + "df_orig_copy.drop_duplicates(inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 103, + "id": "82ed7af5-2173-4fdd-a6c8-43f5f3583107", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 31664 entries, 0 to 32560\n", + "Data columns (total 14 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 31664 non-null int64 \n", + " 1 workclass 31664 non-null object\n", + " 2 education_num 31664 non-null int64 \n", + " 3 marital_status 31664 non-null object\n", + " 4 occupation 31664 non-null object\n", + " 5 relationship 31664 non-null object\n", + " 6 race 31664 non-null object\n", + " 7 sex 31664 non-null object\n", + " 8 capital_gain 31664 non-null int64 \n", + " 9 capital_loss 31664 non-null int64 \n", + " 10 hours_per_week 31664 non-null int64 \n", + " 11 native_country 31664 non-null object\n", + " 12 salary 31664 non-null int64 \n", + " 13 mod_fnlgt 31664 non-null int64 \n", + "dtypes: int64(7), object(7)\n", + "memory usage: 3.6+ MB\n" + ] + } + ], + "source": [ + "df_orig_copy.info()" + ] + }, + { + "cell_type": "markdown", + "id": "0155c6ef-ad7a-484c-918a-7ffdc5486cc5", + "metadata": {}, + "source": [ + "#### 3.9 Conclusion regarding Dataset Features & Categorical Encoding\n", + "\n", + "Finally, we have identified the following numerical and categorical attribute groups. \n", + "\n", + "Regarding the categorical attributes, the clearly ordinal categorical feature _education_ is already mapped to _education_num_ accordingly. Additionally, now we change the feature _sex_ directly, being a binary one in this dataset. From analysis point of view, the other ones are interpreted as nominal categorical features. So, **one-hot-encoding technique** can be used to convert them to numerical ones, because the binary classification ML model can deal with numbers only. We do that during model handling and its pipeline creation.\n", + "\n", + "Here, we modify the feature _native_country_ having a more continent-like grouping and therefore a better scaling and feature dimension after encoding. Having future data in mind as well, we create the geographical groups, like e.g. _Central-America_, _Caribbean_, _South-America_, _North-West-South-Europe_, _East_Europe_, _South_East_Asia_ and check if the mentioned native country belongs to one of them. To create the groups, it is mostly done according listings from the following [German page](http://www.staatenkunde.de/dgfs/datenbank/db-sb.php?sb=18&k=4).\n", + "\n", + "Existing items Canada, United-States, Mexico, Hongkong, China, Japan, Taiwan remain constant, same for future items of 'Russia' that is not listed in Eastern_Europe. This ones and others are handled as a separate state by now. Politically Hongkong belongs to China, but people from there may have a different perspective regarding salary because of its different, younger democratic history. Puert-Rico belongs to Outlying-US and therefore is going to be modified as well. Amongst others, Asia-Pacific and Africa are not grouped properly by now, but should have been for future items.
\n", + "So, all remaining countries will be grouped with label 'Other' that has to be handled as a future action point if too big regarding its future value cardinality.\n", + "\n", + "Feature setting before encoding:\n", + "- numerical\n", + " - age\n", + " - education_num\n", + " - capital_gain\n", + " - captal_loss\n", + " - hours_per_week\n", + " - salary (already converted)\n", + " - mod_fnlgt (already grouped)\n", + "\n", + "- categorical\n", + " - workclass\n", + " - marital_status\n", + " - occupation\n", + " - relationship\n", + " - race\n", + " - native_country (is going to be grouped as mentioned)\n", + " - sex (is going to be changed directly)\n", + " \n", + "We start by modifying the feature _sex_, followed by converting _native_country_ value _Puerte-Rico_." + ] + }, + { + "cell_type": "code", + "execution_count": 104, + "id": "966501f5-030b-4344-bd4d-bced8d61ed70", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['Male', 'Female'], dtype=object)" + ] + }, + "execution_count": 104, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# change feature sex\n", + "df_orig_copy['sex'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": 105, + "id": "e45453ce-6036-4e2a-804f-db2d2823ff01", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy['sex'] = df_orig_copy['sex'].map({'Male': 0, 'Female': 1})" + ] + }, + { + "cell_type": "code", + "execution_count": 106, + "id": "43662c02-2d6f-4c8b-b69b-8356d645b504", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "sex\n", + "0 21137\n", + "1 10527\n", + "Name: sex, dtype: int64" + ] + }, + "execution_count": 106, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.groupby(['sex'])['sex'].count()" + ] + }, + { + "cell_type": "code", + "execution_count": 107, + "id": "c6f9c900-ffcf-40cd-a99c-1514fb040e4a", + "metadata": {}, + "outputs": [], + "source": [ + "# change Puerto-Rico item\n", + "df_orig_copy.replace(to_replace=['Puerto-Rico'], value='Outlying-US', inplace=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 108, + "id": "d62994f1-d0f7-484a-9477-1431a9285066", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['Antigua-and-Barbuda',\n", + " 'Bahamas',\n", + " 'Barbados',\n", + " 'Cuba',\n", + " 'Dominica',\n", + " 'Dominican-Republic',\n", + " 'Grenada',\n", + " 'Haiti',\n", + " 'Jamaica',\n", + " 'Saint-Christopher-and-Nevis',\n", + " 'Saint-Christopher&Nevis',\n", + " 'Saint-Lucia',\n", + " 'Saint-Vincent-and-the-Grenadines',\n", + " 'Saint-Vincent&the-Grenadines',\n", + " 'Trinidad-and-Tobago',\n", + " 'Trinidad&Tobago']" + ] + }, + "execution_count": 108, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# short test of country to continent mapping:\n", + "# see e.g. (German): http://www.staatenkunde.de/dgfs/datenbank/db-sb.php?sb=18&k=4\n", + "# we use the short form labeling;\n", + "# have in mind that countries may have different English writings, \n", + "# therefore they can be mentioned several times;\n", + "# furthermore ex-countries are mentioned with ex- as prefix, like ex-Yugoslavia\n", + "# and all this is stored in the config.yml file ...\n", + "# short test with caribbean countries\n", + "list(config['etl']['caribbean'])" + ] + }, + { + "cell_type": "code", + "execution_count": 109, + "id": "da74feff-6690-4122-bebc-962f35063115", + "metadata": {}, + "outputs": [], + "source": [ + "def map_country_to_continent(cntry) -> str:\n", + " ''' \n", + " Converts the given country name to an associated continent if available,\n", + " items being part of the non_converting_countries list are returned unchanged,\n", + " 'Other' is returned if no matching group has been found.\n", + " '''\n", + " str_continent = 'Other'\n", + " if cntry in list(config['etl']['non_converting_countries']): return cntry\n", + " if cntry in list(config['etl']['north_west_south_europe']): return 'North_West_South_Europe'\n", + " if cntry in list(config['etl']['south_east_europe']): return 'South_East_Europe'\n", + " if cntry in list(config['etl']['caribbean']): return 'Caribbean'\n", + " if cntry in list(config['etl']['central_america']): return 'Central_America'\n", + " if cntry in list(config['etl']['south_america']): return 'South_America'\n", + " if cntry in list(config['etl']['south_east_asia']): return 'South_East_Asia'\n", + " if cntry in list(config['etl']['australia']): return 'Australia'\n", + " if cntry in list(config['etl']['south_middle_asia']): return 'South_Middle_Asia'\n", + " if cntry in list(config['etl']['east_asia']: return 'East_Asia'\n", + " # nothing found, so use 'Other'\n", + " return str_continent" + ] + }, + { + "cell_type": "code", + "execution_count": 110, + "id": "758055a6-bd7e-4ec6-8acb-dc8cdf630caf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 United-States\n", + "1 United-States\n", + "2 United-States\n", + "3 United-States\n", + "4 Caribbean\n", + "5 United-States\n", + "6 Caribbean\n", + "7 United-States\n", + "8 United-States\n", + "9 United-States\n", + "Name: mod_native_country, dtype: object" + ] + }, + "execution_count": 110, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_test = pd.DataFrame()\n", + "df_test['mod_native_country'] = df_orig_copy['native_country'].map(map_country_to_continent)\n", + "df_test['mod_native_country'].head(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 111, + "id": "4d3c5d7c-eb99-44dd-bfee-21c15ee234ec", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy['mod_native_country'] = df_orig_copy['native_country'].map(map_country_to_continent)" + ] + }, + { + "cell_type": "code", + "execution_count": 112, + "id": "b6e279ad-942a-4a86-85c8-ea30bddda886", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "title = 'Modified Univariate Native-Country Distribution (more continent like)'\n", + "xlabel = 'Native-Country-Continent'\n", + "ylabel = 'Frequency'\n", + "feature_name = 'mod_native_country'\n", + "size = (10, 4)\n", + "plot_categorical_hist(title, xlabel, ylabel, feature_name, size)" + ] + }, + { + "cell_type": "code", + "execution_count": 113, + "id": "9ec7a815-b28a-477c-a9df-b0e2c1ba1e2e", + "metadata": {}, + "outputs": [], + "source": [ + "# we don't need the native_country column anymore\n", + "df_orig_copy.drop(columns=['native_country'], inplace=True)" + ] + }, + { + "cell_type": "markdown", + "id": "eba092ea-ba08-4f6e-a8af-d43b345459d0", + "metadata": {}, + "source": [ + "Now, we check having null values or duplicate rows, that have to be removed from the dataframe." + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "id": "aa1c4e27-3959-47b6-aef6-0f636ee4414b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[4;1mModified dataset properties (null values, duplicated rows):\u001b[0m\n", + "\u001b[34;1mnull values:\u001b[0m\n", + "age 0\n", + "workclass 0\n", + "education_num 0\n", + "marital_status 0\n", + "occupation 0\n", + "relationship 0\n", + "race 0\n", + "sex 0\n", + "capital_gain 0\n", + "capital_loss 0\n", + "hours_per_week 0\n", + "salary 0\n", + "mod_fnlgt 0\n", + "mod_native_country 0\n", + "dtype: int64\n", + "\u001b[34;1mduplicated rows:\u001b[0m 2\n" + ] + } + ], + "source": [ + "print(esc('4;1') + 'Modified dataset properties (null values, duplicated rows):' + esc(0))\n", + "print(esc('34;1') + 'null values:' + esc('0') + f'\\n{df_orig_copy.isnull().sum()}')\n", + "print(esc('34;1') + 'duplicated rows:' + esc('0') + f' {df_orig_copy.duplicated().sum()}')" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "id": "c255c35e-987e-4b70-bb45-f58b654789bd", + "metadata": {}, + "outputs": [], + "source": [ + "df_orig_copy.drop_duplicates(inplace=True, ignore_index=False)" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "id": "d333230d-b250-4ab9-9da2-d479c257fcce", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Index: 31662 entries, 0 to 32560\n", + "Data columns (total 14 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 31662 non-null int64 \n", + " 1 workclass 31662 non-null object\n", + " 2 education_num 31662 non-null int64 \n", + " 3 marital_status 31662 non-null object\n", + " 4 occupation 31662 non-null object\n", + " 5 relationship 31662 non-null object\n", + " 6 race 31662 non-null object\n", + " 7 sex 31662 non-null int64 \n", + " 8 capital_gain 31662 non-null int64 \n", + " 9 capital_loss 31662 non-null int64 \n", + " 10 hours_per_week 31662 non-null int64 \n", + " 11 salary 31662 non-null int64 \n", + " 12 mod_fnlgt 31662 non-null int64 \n", + " 13 mod_native_country 31662 non-null object\n", + "dtypes: int64(8), object(6)\n", + "memory usage: 3.6+ MB\n" + ] + } + ], + "source": [ + "df_orig_copy.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "id": "e2529d45-4c93-4ee8-bf61-c940c6b5f1f8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
ageworkclasseducation_nummarital_statusoccupationrelationshipracesexcapital_gaincapital_losshours_per_weeksalarymod_fnlgtmod_native_country
3255132Private6Married-civ-spouseHandlers-cleanersHusbandAmer-Indian-Eskimo00040050000United-States
3255243Private11Married-civ-spouseSalesHusbandWhite000450100000United-States
3255332Private14Never-marriedTech-supportNot-in-familyAsian-Pac-Islander000110150000Taiwan
3255453Private14Married-civ-spouseExec-managerialHusbandWhite000401350000United-States
3255522Private10Never-marriedProtective-servNot-in-familyWhite000400350000United-States
3255627Private12Married-civ-spouseTech-supportWifeWhite100380300000United-States
3255858Private9WidowedAdm-clericalUnmarriedWhite100400200000United-States
3256052Self-emp-inc9Married-civ-spouseExec-managerialWifeWhite1150240401300000United-States
\n", + "
" + ], + "text/plain": [ + " age workclass education_num marital_status \\\n", + "32551 32 Private 6 Married-civ-spouse \n", + "32552 43 Private 11 Married-civ-spouse \n", + "32553 32 Private 14 Never-married \n", + "32554 53 Private 14 Married-civ-spouse \n", + "32555 22 Private 10 Never-married \n", + "32556 27 Private 12 Married-civ-spouse \n", + "32558 58 Private 9 Widowed \n", + "32560 52 Self-emp-inc 9 Married-civ-spouse \n", + "\n", + " occupation relationship race sex \\\n", + "32551 Handlers-cleaners Husband Amer-Indian-Eskimo 0 \n", + "32552 Sales Husband White 0 \n", + "32553 Tech-support Not-in-family Asian-Pac-Islander 0 \n", + "32554 Exec-managerial Husband White 0 \n", + "32555 Protective-serv Not-in-family White 0 \n", + "32556 Tech-support Wife White 1 \n", + "32558 Adm-clerical Unmarried White 1 \n", + "32560 Exec-managerial Wife White 1 \n", + "\n", + " capital_gain capital_loss hours_per_week salary mod_fnlgt \\\n", + "32551 0 0 40 0 50000 \n", + "32552 0 0 45 0 100000 \n", + "32553 0 0 11 0 150000 \n", + "32554 0 0 40 1 350000 \n", + "32555 0 0 40 0 350000 \n", + "32556 0 0 38 0 300000 \n", + "32558 0 0 40 0 200000 \n", + "32560 15024 0 40 1 300000 \n", + "\n", + " mod_native_country \n", + "32551 United-States \n", + "32552 United-States \n", + "32553 Taiwan \n", + "32554 United-States \n", + "32555 United-States \n", + "32556 United-States \n", + "32558 United-States \n", + "32560 United-States " + ] + }, + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_orig_copy.tail(8)" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "id": "aae2bf6b-33e4-451a-87c0-12ff4a11b456", + "metadata": {}, + "outputs": [], + "source": [ + "# create profiling report of modified, preprocessed census data\n", + "profile = ProfileReport(df_orig_copy,\n", + " title=str(config['eda']['preproc_report_title']))" + ] + }, + { + "cell_type": "code", + "execution_count": 119, + "id": "9cc64b99-4503-4c73-9608-dadb324a1090", + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a3d1764b6d4d49e696c4fee06e80c721", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Summarize dataset: 0%| | 0/5 [00:00 - 857\u001b[0m\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "99ce8266b3824b27b96571c43943a957", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "Render HTML: 0%| | 0/1 [00:00\n", + "### 4. Load\n", + "The modified census dataset is stored as .csv file via pandas library. In the GitHub repository it is versioned with dvc." + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "id": "9fa65c1a-bb9a-41d3-bf1b-2cdffcb3f4bc", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u001b[30m2023-09-02 17:17:26,118 - MainThread - staging - INFO - eda.ipynb: MAIN_DIR file .parent.parent.absolute(): /home/ilona/MLOps/US_CensusData_Classifier_PipelineWithDeployment - 4\u001b[0m\n", + "\u001b[30m2023-09-02 17:17:26,299 - MainThread - staging - INFO - Preprocessed census dataset stored as /home/ilona/MLOps/US_CensusData_Classifier_PipelineWithDeployment/data/preproc_census.csv - 4\u001b[0m\n" + ] + } + ], + "source": [ + "try:\n", + " preproc_csv_path = os.path.join(get_data_path(), config['etl']['preproc_census'])\n", + " df_orig_copy.to_csv(preproc_csv_path)\n", + " logger.info(f\"Preprocessed census dataset stored as {preproc_csv_path}\")\n", + "except:\n", + " logger.error(\"Preprocessed US census dataset could not be stored... !\")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/src/eda/eda_census_orig_report.html b/src/eda/eda_census_orig_report.html new file mode 100644 index 0000000000..9765647050 --- /dev/null +++ b/src/eda/eda_census_orig_report.html @@ -0,0 +1,31046 @@ +US Census Profiling Report - original data

Overview

Dataset statistics

Number of variables15
Number of observations32561
Missing cells0
Missing cells (%)0.0%
Duplicate rows23
Duplicate rows (%)0.1%
Total size in memory3.7 MiB
Average record size in memory120.0 B

Variable types

Numeric6
Categorical9

Alerts

Dataset has 23 (0.1%) duplicate rowsDuplicates
education-num is highly overall correlated with educationHigh correlation
education is highly overall correlated with education-numHigh correlation
relationship is highly overall correlated with sexHigh correlation
sex is highly overall correlated with relationshipHigh correlation
race is highly imbalanced (65.6%)Imbalance
native-country is highly imbalanced (82.5%)Imbalance
capital-gain has 29849 (91.7%) zerosZeros
capital-loss has 31042 (95.3%) zerosZeros

Reproduction

Analysis started2023-09-02 15:15:43.157013
Analysis finished2023-09-02 15:15:56.040006
Duration12.88 seconds
Software versionydata-profiling vv4.3.1
Download configurationconfig.json

Variables

age
Real number (ℝ)

Distinct73
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.581647
Minimum17
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size254.5 KiB
2023-09-02T17:15:56.186238image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile19
Q128
median37
Q348
95-th percentile63
Maximum90
Range73
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.640433
Coefficient of variation (CV)0.35354718
Kurtosis-0.16612746
Mean38.581647
Median Absolute Deviation (MAD)10
Skewness0.55874337
Sum1256257
Variance186.0614
MonotonicityNot monotonic
2023-09-02T17:15:56.416923image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 898
 
2.8%
31 888
 
2.7%
34 886
 
2.7%
23 877
 
2.7%
35 876
 
2.7%
33 875
 
2.7%
28 867
 
2.7%
30 861
 
2.6%
37 858
 
2.6%
25 841
 
2.6%
Other values (63) 23834
73.2%
ValueCountFrequency (%)
17 395
1.2%
18 550
1.7%
19 712
2.2%
20 753
2.3%
21 720
2.2%
22 765
2.3%
23 877
2.7%
24 798
2.5%
25 841
2.6%
26 785
2.4%
ValueCountFrequency (%)
90 43
0.1%
88 3
 
< 0.1%
87 1
 
< 0.1%
86 1
 
< 0.1%
85 3
 
< 0.1%
84 10
 
< 0.1%
83 6
 
< 0.1%
82 12
 
< 0.1%
81 20
0.1%
80 22
0.1%

workclass
Categorical

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
Private
22696 
Self-emp-not-inc
2541 
Local-gov
 
2093
?
 
1836
State-gov
 
1298
Other values (4)
 
2097

Length

Max length17
Median length8
Mean length8.8644083
Min length2

Characters and Unicode

Total characters288634
Distinct characters29
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row State-gov
2nd row Self-emp-not-inc
3rd row Private
4th row Private
5th row Private

Common Values

ValueCountFrequency (%)
Private 22696
69.7%
Self-emp-not-inc 2541
 
7.8%
Local-gov 2093
 
6.4%
? 1836
 
5.6%
State-gov 1298
 
4.0%
Self-emp-inc 1116
 
3.4%
Federal-gov 960
 
2.9%
Without-pay 14
 
< 0.1%
Never-worked 7
 
< 0.1%

Length

2023-09-02T17:15:56.640988image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:15:56.876732image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
private 22696
69.7%
self-emp-not-inc 2541
 
7.8%
local-gov 2093
 
6.4%
1836
 
5.6%
state-gov 1298
 
4.0%
self-emp-inc 1116
 
3.4%
federal-gov 960
 
2.9%
without-pay 14
 
< 0.1%
never-worked 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 33249
11.5%
32561
11.3%
t 27861
9.7%
a 27061
9.4%
v 27054
9.4%
i 26367
9.1%
r 23670
8.2%
P 22696
7.9%
- 14227
 
4.9%
o 9006
 
3.1%
Other values (19) 44882
15.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 209285
72.5%
Space Separator 32561
 
11.3%
Uppercase Letter 30725
 
10.6%
Dash Punctuation 14227
 
4.9%
Other Punctuation 1836
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 33249
15.9%
t 27861
13.3%
a 27061
12.9%
v 27054
12.9%
i 26367
12.6%
r 23670
11.3%
o 9006
 
4.3%
l 6710
 
3.2%
n 6198
 
3.0%
c 5750
 
2.7%
Other values (10) 16359
7.8%
Uppercase Letter
ValueCountFrequency (%)
P 22696
73.9%
S 4955
 
16.1%
L 2093
 
6.8%
F 960
 
3.1%
W 14
 
< 0.1%
N 7
 
< 0.1%
Space Separator
ValueCountFrequency (%)
32561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14227
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1836
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 240010
83.2%
Common 48624
 
16.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 33249
13.9%
t 27861
11.6%
a 27061
11.3%
v 27054
11.3%
i 26367
11.0%
r 23670
9.9%
P 22696
9.5%
o 9006
 
3.8%
l 6710
 
2.8%
n 6198
 
2.6%
Other values (16) 30138
12.6%
Common
ValueCountFrequency (%)
32561
67.0%
- 14227
29.3%
? 1836
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288634
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 33249
11.5%
32561
11.3%
t 27861
9.7%
a 27061
9.4%
v 27054
9.4%
i 26367
9.1%
r 23670
8.2%
P 22696
7.9%
- 14227
 
4.9%
o 9006
 
3.1%
Other values (19) 44882
15.5%

fnlgt
Real number (ℝ)

Distinct21648
Distinct (%)66.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189778.37
Minimum12285
Maximum1484705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size254.5 KiB
2023-09-02T17:15:57.122553image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum12285
5-th percentile39460
Q1117827
median178356
Q3237051
95-th percentile379682
Maximum1484705
Range1472420
Interquartile range (IQR)119224

Descriptive statistics

Standard deviation105549.98
Coefficient of variation (CV)0.55617497
Kurtosis6.218811
Mean189778.37
Median Absolute Deviation (MAD)59894
Skewness1.4469801
Sum6.1793734 × 109
Variance1.1140798 × 1010
MonotonicityNot monotonic
2023-09-02T17:15:57.352150image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164190 13
 
< 0.1%
203488 13
 
< 0.1%
123011 13
 
< 0.1%
148995 12
 
< 0.1%
121124 12
 
< 0.1%
113364 12
 
< 0.1%
126675 12
 
< 0.1%
111483 11
 
< 0.1%
120277 11
 
< 0.1%
123983 11
 
< 0.1%
Other values (21638) 32441
99.6%
ValueCountFrequency (%)
12285 1
 
< 0.1%
13769 1
 
< 0.1%
14878 1
 
< 0.1%
18827 1
 
< 0.1%
19214 1
 
< 0.1%
19302 5
< 0.1%
19395 2
 
< 0.1%
19410 1
 
< 0.1%
19491 1
 
< 0.1%
19520 1
 
< 0.1%
ValueCountFrequency (%)
1484705 1
< 0.1%
1455435 1
< 0.1%
1366120 1
< 0.1%
1268339 1
< 0.1%
1226583 1
< 0.1%
1184622 1
< 0.1%
1161363 1
< 0.1%
1125613 1
< 0.1%
1097453 1
< 0.1%
1085515 1
< 0.1%

education
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
HS-grad
10501 
Some-college
7291 
Bachelors
5355 
Masters
1723 
Assoc-voc
1382 
Other values (11)
6309 

Length

Max length13
Median length12
Mean length9.433709
Min length4

Characters and Unicode

Total characters307171
Distinct characters32
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Bachelors
2nd row Bachelors
3rd row HS-grad
4th row 11th
5th row Bachelors

Common Values

ValueCountFrequency (%)
HS-grad 10501
32.3%
Some-college 7291
22.4%
Bachelors 5355
16.4%
Masters 1723
 
5.3%
Assoc-voc 1382
 
4.2%
11th 1175
 
3.6%
Assoc-acdm 1067
 
3.3%
10th 933
 
2.9%
7th-8th 646
 
2.0%
Prof-school 576
 
1.8%
Other values (6) 1912
 
5.9%

Length

2023-09-02T17:15:57.571067image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
hs-grad 10501
32.3%
some-college 7291
22.4%
bachelors 5355
16.4%
masters 1723
 
5.3%
assoc-voc 1382
 
4.2%
11th 1175
 
3.6%
assoc-acdm 1067
 
3.3%
10th 933
 
2.9%
7th-8th 646
 
2.0%
prof-school 576
 
1.8%
Other values (6) 1912
 
5.9%

Most occurring characters

ValueCountFrequency (%)
32561
 
10.6%
e 29415
 
9.6%
o 26424
 
8.6%
- 21964
 
7.2%
l 20564
 
6.7%
a 19059
 
6.2%
r 18619
 
6.1%
c 18584
 
6.1%
S 17792
 
5.8%
g 17792
 
5.8%
Other values (22) 84397
27.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 205896
67.0%
Uppercase Letter 38860
 
12.7%
Space Separator 32561
 
10.6%
Dash Punctuation 21964
 
7.2%
Decimal Number 7890
 
2.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 29415
14.3%
o 26424
12.8%
l 20564
10.0%
a 19059
9.3%
r 18619
9.0%
c 18584
9.0%
g 17792
8.6%
s 14494
7.0%
d 11568
 
5.6%
h 11163
 
5.4%
Other values (4) 18214
8.8%
Decimal Number
ValueCountFrequency (%)
1 3884
49.2%
0 933
 
11.8%
7 646
 
8.2%
8 646
 
8.2%
9 514
 
6.5%
2 433
 
5.5%
5 333
 
4.2%
6 333
 
4.2%
4 168
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
S 17792
45.8%
H 10501
27.0%
B 5355
 
13.8%
A 2449
 
6.3%
M 1723
 
4.4%
P 627
 
1.6%
D 413
 
1.1%
Space Separator
ValueCountFrequency (%)
32561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21964
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 244756
79.7%
Common 62415
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 29415
12.0%
o 26424
10.8%
l 20564
8.4%
a 19059
 
7.8%
r 18619
 
7.6%
c 18584
 
7.6%
S 17792
 
7.3%
g 17792
 
7.3%
s 14494
 
5.9%
d 11568
 
4.7%
Other values (11) 50445
20.6%
Common
ValueCountFrequency (%)
32561
52.2%
- 21964
35.2%
1 3884
 
6.2%
0 933
 
1.5%
7 646
 
1.0%
8 646
 
1.0%
9 514
 
0.8%
2 433
 
0.7%
5 333
 
0.5%
6 333
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 307171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32561
 
10.6%
e 29415
 
9.6%
o 26424
 
8.6%
- 21964
 
7.2%
l 20564
 
6.7%
a 19059
 
6.2%
r 18619
 
6.1%
c 18584
 
6.1%
S 17792
 
5.8%
g 17792
 
5.8%
Other values (22) 84397
27.5%

education-num
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.080679
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size254.5 KiB
2023-09-02T17:15:57.734414image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q312
95-th percentile14
Maximum16
Range15
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.5727203
Coefficient of variation (CV)0.25521299
Kurtosis0.62344407
Mean10.080679
Median Absolute Deviation (MAD)1
Skewness-0.31167587
Sum328237
Variance6.6188899
MonotonicityNot monotonic
2023-09-02T17:15:57.890630image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
9 10501
32.3%
10 7291
22.4%
13 5355
16.4%
14 1723
 
5.3%
11 1382
 
4.2%
7 1175
 
3.6%
12 1067
 
3.3%
6 933
 
2.9%
4 646
 
2.0%
15 576
 
1.8%
Other values (6) 1912
 
5.9%
ValueCountFrequency (%)
1 51
 
0.2%
2 168
 
0.5%
3 333
 
1.0%
4 646
 
2.0%
5 514
 
1.6%
6 933
 
2.9%
7 1175
 
3.6%
8 433
 
1.3%
9 10501
32.3%
10 7291
22.4%
ValueCountFrequency (%)
16 413
 
1.3%
15 576
 
1.8%
14 1723
 
5.3%
13 5355
16.4%
12 1067
 
3.3%
11 1382
 
4.2%
10 7291
22.4%
9 10501
32.3%
8 433
 
1.3%
7 1175
 
3.6%

marital-status
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
Married-civ-spouse
14976 
Never-married
10683 
Divorced
4443 
Separated
 
1025
Widowed
 
993
Other values (2)
 
441

Length

Max length22
Median length19
Mean length15.414054
Min length8

Characters and Unicode

Total characters501897
Distinct characters25
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Never-married
2nd row Married-civ-spouse
3rd row Divorced
4th row Married-civ-spouse
5th row Married-civ-spouse

Common Values

ValueCountFrequency (%)
Married-civ-spouse 14976
46.0%
Never-married 10683
32.8%
Divorced 4443
 
13.6%
Separated 1025
 
3.1%
Widowed 993
 
3.0%
Married-spouse-absent 418
 
1.3%
Married-AF-spouse 23
 
0.1%

Length

2023-09-02T17:15:58.098906image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:15:58.332895image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
married-civ-spouse 14976
46.0%
never-married 10683
32.8%
divorced 4443
 
13.6%
separated 1025
 
3.1%
widowed 993
 
3.0%
married-spouse-absent 418
 
1.3%
married-af-spouse 23
 
0.1%

Most occurring characters

ValueCountFrequency (%)
e 70787
14.1%
r 68351
13.6%
i 46512
9.3%
- 41517
8.3%
d 33554
 
6.7%
32561
 
6.5%
s 31252
 
6.2%
v 30102
 
6.0%
a 28568
 
5.7%
o 20853
 
4.2%
Other values (15) 97840
19.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 395212
78.7%
Dash Punctuation 41517
 
8.3%
Uppercase Letter 32607
 
6.5%
Space Separator 32561
 
6.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 70787
17.9%
r 68351
17.3%
i 46512
11.8%
d 33554
8.5%
s 31252
7.9%
v 30102
7.6%
a 28568
7.2%
o 20853
 
5.3%
c 19419
 
4.9%
p 16442
 
4.2%
Other values (6) 29372
7.4%
Uppercase Letter
ValueCountFrequency (%)
M 15417
47.3%
N 10683
32.8%
D 4443
 
13.6%
S 1025
 
3.1%
W 993
 
3.0%
A 23
 
0.1%
F 23
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 41517
100.0%
Space Separator
ValueCountFrequency (%)
32561
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 427819
85.2%
Common 74078
 
14.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 70787
16.5%
r 68351
16.0%
i 46512
10.9%
d 33554
7.8%
s 31252
7.3%
v 30102
7.0%
a 28568
6.7%
o 20853
 
4.9%
c 19419
 
4.5%
p 16442
 
3.8%
Other values (13) 61979
14.5%
Common
ValueCountFrequency (%)
- 41517
56.0%
32561
44.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 501897
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 70787
14.1%
r 68351
13.6%
i 46512
9.3%
- 41517
8.3%
d 33554
 
6.7%
32561
 
6.5%
s 31252
 
6.2%
v 30102
 
6.0%
a 28568
 
5.7%
o 20853
 
4.2%
Other values (15) 97840
19.5%

occupation
Categorical

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
Prof-specialty
4140 
Craft-repair
4099 
Exec-managerial
4066 
Adm-clerical
3770 
Sales
3650 
Other values (10)
12836 

Length

Max length18
Median length16
Mean length13.201898
Min length2

Characters and Unicode

Total characters429867
Distinct characters33
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Adm-clerical
2nd row Exec-managerial
3rd row Handlers-cleaners
4th row Handlers-cleaners
5th row Prof-specialty

Common Values

ValueCountFrequency (%)
Prof-specialty 4140
12.7%
Craft-repair 4099
12.6%
Exec-managerial 4066
12.5%
Adm-clerical 3770
11.6%
Sales 3650
11.2%
Other-service 3295
10.1%
Machine-op-inspct 2002
6.1%
? 1843
5.7%
Transport-moving 1597
 
4.9%
Handlers-cleaners 1370
 
4.2%
Other values (5) 2729
8.4%

Length

2023-09-02T17:15:58.561710image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
prof-specialty 4140
12.7%
craft-repair 4099
12.6%
exec-managerial 4066
12.5%
adm-clerical 3770
11.6%
sales 3650
11.2%
other-service 3295
10.1%
machine-op-inspct 2002
6.1%
1843
5.7%
transport-moving 1597
 
4.9%
handlers-cleaners 1370
 
4.2%
Other values (5) 2729
8.4%

Most occurring characters

ValueCountFrequency (%)
e 42979
 
10.0%
r 40333
 
9.4%
a 39289
 
9.1%
32561
 
7.6%
- 29219
 
6.8%
i 28751
 
6.7%
c 26001
 
6.0%
l 22136
 
5.1%
s 20302
 
4.7%
t 17359
 
4.0%
Other values (23) 130937
30.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 335517
78.1%
Space Separator 32561
 
7.6%
Uppercase Letter 30727
 
7.1%
Dash Punctuation 29219
 
6.8%
Other Punctuation 1843
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 42979
12.8%
r 40333
12.0%
a 39289
11.7%
i 28751
8.6%
c 26001
 
7.7%
l 22136
 
6.6%
s 20302
 
6.1%
t 17359
 
5.2%
n 15992
 
4.8%
p 15696
 
4.7%
Other values (10) 66679
19.9%
Uppercase Letter
ValueCountFrequency (%)
P 4938
16.1%
C 4099
13.3%
E 4066
13.2%
A 3779
12.3%
S 3650
11.9%
O 3295
10.7%
T 2525
8.2%
M 2002
6.5%
H 1370
 
4.5%
F 1003
 
3.3%
Space Separator
ValueCountFrequency (%)
32561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29219
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1843
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 366244
85.2%
Common 63623
 
14.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 42979
11.7%
r 40333
11.0%
a 39289
10.7%
i 28751
 
7.9%
c 26001
 
7.1%
l 22136
 
6.0%
s 20302
 
5.5%
t 17359
 
4.7%
n 15992
 
4.4%
p 15696
 
4.3%
Other values (20) 97406
26.6%
Common
ValueCountFrequency (%)
32561
51.2%
- 29219
45.9%
? 1843
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 429867
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 42979
 
10.0%
r 40333
 
9.4%
a 39289
 
9.1%
32561
 
7.6%
- 29219
 
6.8%
i 28751
 
6.7%
c 26001
 
6.0%
l 22136
 
5.1%
s 20302
 
4.7%
t 17359
 
4.0%
Other values (23) 130937
30.5%

relationship
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
Husband
13193 
Not-in-family
8305 
Own-child
5068 
Unmarried
3446 
Wife
1568 

Length

Max length15
Median length14
Mean length10.119744
Min length5

Characters and Unicode

Total characters329509
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Not-in-family
2nd row Husband
3rd row Not-in-family
4th row Husband
5th row Wife

Common Values

ValueCountFrequency (%)
Husband 13193
40.5%
Not-in-family 8305
25.5%
Own-child 5068
 
15.6%
Unmarried 3446
 
10.6%
Wife 1568
 
4.8%
Other-relative 981
 
3.0%

Length

2023-09-02T17:15:58.756631image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:15:58.963663image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
husband 13193
40.5%
not-in-family 8305
25.5%
own-child 5068
 
15.6%
unmarried 3446
 
10.6%
wife 1568
 
4.8%
other-relative 981
 
3.0%

Most occurring characters

ValueCountFrequency (%)
32561
 
9.9%
n 30012
 
9.1%
i 27673
 
8.4%
a 25925
 
7.9%
- 22659
 
6.9%
d 21707
 
6.6%
l 14354
 
4.4%
H 13193
 
4.0%
u 13193
 
4.0%
s 13193
 
4.0%
Other values (16) 115039
34.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 241728
73.4%
Space Separator 32561
 
9.9%
Uppercase Letter 32561
 
9.9%
Dash Punctuation 22659
 
6.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 30012
12.4%
i 27673
11.4%
a 25925
10.7%
d 21707
 
9.0%
l 14354
 
5.9%
u 13193
 
5.5%
s 13193
 
5.5%
b 13193
 
5.5%
m 11751
 
4.9%
t 10267
 
4.2%
Other values (9) 60460
25.0%
Uppercase Letter
ValueCountFrequency (%)
H 13193
40.5%
N 8305
25.5%
O 6049
18.6%
U 3446
 
10.6%
W 1568
 
4.8%
Space Separator
ValueCountFrequency (%)
32561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22659
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 274289
83.2%
Common 55220
 
16.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 30012
 
10.9%
i 27673
 
10.1%
a 25925
 
9.5%
d 21707
 
7.9%
l 14354
 
5.2%
H 13193
 
4.8%
u 13193
 
4.8%
s 13193
 
4.8%
b 13193
 
4.8%
m 11751
 
4.3%
Other values (14) 90095
32.8%
Common
ValueCountFrequency (%)
32561
59.0%
- 22659
41.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 329509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32561
 
9.9%
n 30012
 
9.1%
i 27673
 
8.4%
a 25925
 
7.9%
- 22659
 
6.9%
d 21707
 
6.6%
l 14354
 
4.4%
H 13193
 
4.0%
u 13193
 
4.0%
s 13193
 
4.0%
Other values (16) 115039
34.9%

race
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
White
27816 
Black
3124 
Asian-Pac-Islander
 
1039
Amer-Indian-Eskimo
 
311
Other
 
271

Length

Max length19
Median length6
Mean length6.5389884
Min length6

Characters and Unicode

Total characters212916
Distinct characters23
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row White
2nd row White
3rd row White
4th row Black
5th row Black

Common Values

ValueCountFrequency (%)
White 27816
85.4%
Black 3124
 
9.6%
Asian-Pac-Islander 1039
 
3.2%
Amer-Indian-Eskimo 311
 
1.0%
Other 271
 
0.8%

Length

2023-09-02T17:15:59.167228image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:15:59.376418image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
white 27816
85.4%
black 3124
 
9.6%
asian-pac-islander 1039
 
3.2%
amer-indian-eskimo 311
 
1.0%
other 271
 
0.8%

Most occurring characters

ValueCountFrequency (%)
32561
15.3%
i 29477
13.8%
e 29437
13.8%
h 28087
13.2%
t 28087
13.2%
W 27816
13.1%
a 6552
 
3.1%
l 4163
 
2.0%
c 4163
 
2.0%
k 3435
 
1.6%
Other values (13) 19138
9.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 142394
66.9%
Uppercase Letter 35261
 
16.6%
Space Separator 32561
 
15.3%
Dash Punctuation 2700
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 29477
20.7%
e 29437
20.7%
h 28087
19.7%
t 28087
19.7%
a 6552
 
4.6%
l 4163
 
2.9%
c 4163
 
2.9%
k 3435
 
2.4%
n 2700
 
1.9%
s 2389
 
1.7%
Other values (4) 3904
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
W 27816
78.9%
B 3124
 
8.9%
A 1350
 
3.8%
I 1350
 
3.8%
P 1039
 
2.9%
E 311
 
0.9%
O 271
 
0.8%
Space Separator
ValueCountFrequency (%)
32561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2700
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 177655
83.4%
Common 35261
 
16.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 29477
16.6%
e 29437
16.6%
h 28087
15.8%
t 28087
15.8%
W 27816
15.7%
a 6552
 
3.7%
l 4163
 
2.3%
c 4163
 
2.3%
k 3435
 
1.9%
B 3124
 
1.8%
Other values (11) 13314
7.5%
Common
ValueCountFrequency (%)
32561
92.3%
- 2700
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 212916
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32561
15.3%
i 29477
13.8%
e 29437
13.8%
h 28087
13.2%
t 28087
13.2%
W 27816
13.1%
a 6552
 
3.1%
l 4163
 
2.0%
c 4163
 
2.0%
k 3435
 
1.6%
Other values (13) 19138
9.0%

sex
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
Male
21790 
Female
10771 

Length

Max length7
Median length5
Mean length5.661589
Min length5

Characters and Unicode

Total characters184347
Distinct characters7
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row Male
2nd row Male
3rd row Male
4th row Male
5th row Female

Common Values

ValueCountFrequency (%)
Male 21790
66.9%
Female 10771
33.1%

Length

2023-09-02T17:15:59.569613image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:15:59.774823image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
male 21790
66.9%
female 10771
33.1%

Most occurring characters

ValueCountFrequency (%)
e 43332
23.5%
32561
17.7%
a 32561
17.7%
l 32561
17.7%
M 21790
11.8%
F 10771
 
5.8%
m 10771
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 119225
64.7%
Space Separator 32561
 
17.7%
Uppercase Letter 32561
 
17.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 43332
36.3%
a 32561
27.3%
l 32561
27.3%
m 10771
 
9.0%
Uppercase Letter
ValueCountFrequency (%)
M 21790
66.9%
F 10771
33.1%
Space Separator
ValueCountFrequency (%)
32561
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 151786
82.3%
Common 32561
 
17.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 43332
28.5%
a 32561
21.5%
l 32561
21.5%
M 21790
14.4%
F 10771
 
7.1%
m 10771
 
7.1%
Common
ValueCountFrequency (%)
32561
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184347
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 43332
23.5%
32561
17.7%
a 32561
17.7%
l 32561
17.7%
M 21790
11.8%
F 10771
 
5.8%
m 10771
 
5.8%

capital-gain
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1077.6488
Minimum0
Maximum99999
Zeros29849
Zeros (%)91.7%
Negative0
Negative (%)0.0%
Memory size254.5 KiB
2023-09-02T17:15:59.970714image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5013
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7385.2921
Coefficient of variation (CV)6.8531527
Kurtosis154.79944
Mean1077.6488
Median Absolute Deviation (MAD)0
Skewness11.953848
Sum35089324
Variance54542539
MonotonicityNot monotonic
2023-09-02T17:16:00.390502image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29849
91.7%
15024 347
 
1.1%
7688 284
 
0.9%
7298 246
 
0.8%
99999 159
 
0.5%
5178 97
 
0.3%
3103 97
 
0.3%
4386 70
 
0.2%
5013 69
 
0.2%
8614 55
 
0.2%
Other values (109) 1288
 
4.0%
ValueCountFrequency (%)
0 29849
91.7%
114 6
 
< 0.1%
401 2
 
< 0.1%
594 34
 
0.1%
914 8
 
< 0.1%
991 5
 
< 0.1%
1055 25
 
0.1%
1086 4
 
< 0.1%
1111 1
 
< 0.1%
1151 8
 
< 0.1%
ValueCountFrequency (%)
99999 159
0.5%
41310 2
 
< 0.1%
34095 5
 
< 0.1%
27828 34
 
0.1%
25236 11
 
< 0.1%
25124 4
 
< 0.1%
22040 1
 
< 0.1%
20051 37
 
0.1%
18481 2
 
< 0.1%
15831 6
 
< 0.1%

capital-loss
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.30383
Minimum0
Maximum4356
Zeros31042
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size254.5 KiB
2023-09-02T17:16:00.631868image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4356
Range4356
Interquartile range (IQR)0

Descriptive statistics

Standard deviation402.96022
Coefficient of variation (CV)4.6156076
Kurtosis20.376802
Mean87.30383
Median Absolute Deviation (MAD)0
Skewness4.5946291
Sum2842700
Variance162376.94
MonotonicityNot monotonic
2023-09-02T17:16:00.855313image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31042
95.3%
1902 202
 
0.6%
1977 168
 
0.5%
1887 159
 
0.5%
1848 51
 
0.2%
1485 51
 
0.2%
2415 49
 
0.2%
1602 47
 
0.1%
1740 42
 
0.1%
1590 40
 
0.1%
Other values (82) 710
 
2.2%
ValueCountFrequency (%)
0 31042
95.3%
155 1
 
< 0.1%
213 4
 
< 0.1%
323 3
 
< 0.1%
419 3
 
< 0.1%
625 12
 
< 0.1%
653 3
 
< 0.1%
810 2
 
< 0.1%
880 6
 
< 0.1%
974 2
 
< 0.1%
ValueCountFrequency (%)
4356 3
 
< 0.1%
3900 2
 
< 0.1%
3770 2
 
< 0.1%
3683 2
 
< 0.1%
3004 2
 
< 0.1%
2824 10
< 0.1%
2754 2
 
< 0.1%
2603 5
< 0.1%
2559 12
< 0.1%
2547 4
 
< 0.1%

hours-per-week
Real number (ℝ)

Distinct94
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.437456
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size254.5 KiB
2023-09-02T17:16:01.086935image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q140
median40
Q345
95-th percentile60
Maximum99
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.347429
Coefficient of variation (CV)0.30534633
Kurtosis2.9166868
Mean40.437456
Median Absolute Deviation (MAD)3
Skewness0.22764254
Sum1316684
Variance152.459
MonotonicityNot monotonic
2023-09-02T17:16:01.321291image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 15217
46.7%
50 2819
 
8.7%
45 1824
 
5.6%
60 1475
 
4.5%
35 1297
 
4.0%
20 1224
 
3.8%
30 1149
 
3.5%
55 694
 
2.1%
25 674
 
2.1%
48 517
 
1.6%
Other values (84) 5671
 
17.4%
ValueCountFrequency (%)
1 20
 
0.1%
2 32
 
0.1%
3 39
 
0.1%
4 54
 
0.2%
5 60
 
0.2%
6 64
 
0.2%
7 26
 
0.1%
8 145
0.4%
9 18
 
0.1%
10 278
0.9%
ValueCountFrequency (%)
99 85
0.3%
98 11
 
< 0.1%
97 2
 
< 0.1%
96 5
 
< 0.1%
95 2
 
< 0.1%
94 1
 
< 0.1%
92 1
 
< 0.1%
91 3
 
< 0.1%
90 29
 
0.1%
89 2
 
< 0.1%

native-country
Categorical

IMBALANCE 

Distinct42
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
United-States
29170 
Mexico
 
643
?
 
583
Philippines
 
198
Germany
 
137
Other values (37)
 
1830

Length

Max length27
Median length14
Mean length13.293848
Min length2

Characters and Unicode

Total characters432861
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row United-States
2nd row United-States
3rd row United-States
4th row United-States
5th row Cuba

Common Values

ValueCountFrequency (%)
United-States 29170
89.6%
Mexico 643
 
2.0%
? 583
 
1.8%
Philippines 198
 
0.6%
Germany 137
 
0.4%
Canada 121
 
0.4%
Puerto-Rico 114
 
0.4%
El-Salvador 106
 
0.3%
India 100
 
0.3%
Cuba 95
 
0.3%
Other values (32) 1294
 
4.0%

Length

2023-09-02T17:16:01.535408image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
united-states 29170
89.6%
mexico 643
 
2.0%
583
 
1.8%
philippines 198
 
0.6%
germany 137
 
0.4%
canada 121
 
0.4%
puerto-rico 114
 
0.4%
el-salvador 106
 
0.3%
india 100
 
0.3%
cuba 95
 
0.3%
Other values (32) 1294
 
4.0%

Most occurring characters

ValueCountFrequency (%)
t 88030
20.3%
e 59820
13.8%
32561
 
7.5%
a 31774
 
7.3%
i 31372
 
7.2%
n 30568
 
7.1%
d 29801
 
6.9%
- 29503
 
6.8%
s 29416
 
6.8%
S 29396
 
6.8%
Other values (36) 40620
9.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 308611
71.3%
Uppercase Letter 61556
 
14.2%
Space Separator 32561
 
7.5%
Dash Punctuation 29503
 
6.8%
Other Punctuation 602
 
0.1%
Open Punctuation 14
 
< 0.1%
Close Punctuation 14
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 88030
28.5%
e 59820
19.4%
a 31774
 
10.3%
i 31372
 
10.2%
n 30568
 
9.9%
d 29801
 
9.7%
s 29416
 
9.5%
o 1448
 
0.5%
c 1124
 
0.4%
l 949
 
0.3%
Other values (11) 4309
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 29396
47.8%
U 29198
47.4%
M 643
 
1.0%
P 440
 
0.7%
C 369
 
0.6%
I 254
 
0.4%
G 244
 
0.4%
E 224
 
0.4%
R 184
 
0.3%
J 143
 
0.2%
Other values (9) 461
 
0.7%
Other Punctuation
ValueCountFrequency (%)
? 583
96.8%
& 19
 
3.2%
Space Separator
ValueCountFrequency (%)
32561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29503
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 370167
85.5%
Common 62694
 
14.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 88030
23.8%
e 59820
16.2%
a 31774
 
8.6%
i 31372
 
8.5%
n 30568
 
8.3%
d 29801
 
8.1%
s 29416
 
7.9%
S 29396
 
7.9%
U 29198
 
7.9%
o 1448
 
0.4%
Other values (30) 9344
 
2.5%
Common
ValueCountFrequency (%)
32561
51.9%
- 29503
47.1%
? 583
 
0.9%
& 19
 
< 0.1%
( 14
 
< 0.1%
) 14
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432861
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 88030
20.3%
e 59820
13.8%
32561
 
7.5%
a 31774
 
7.3%
i 31372
 
7.2%
n 30568
 
7.1%
d 29801
 
6.9%
- 29503
 
6.8%
s 29416
 
6.8%
S 29396
 
6.8%
Other values (36) 40620
9.4%

salary
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size254.5 KiB
<=50K
24720 
>50K
7841 

Length

Max length6
Median length6
Mean length5.7591904
Min length5

Characters and Unicode

Total characters187525
Distinct characters7
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row <=50K
2nd row <=50K
3rd row <=50K
4th row <=50K
5th row <=50K

Common Values

ValueCountFrequency (%)
<=50K 24720
75.9%
>50K 7841
 
24.1%

Length

2023-09-02T17:16:01.716657image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:16:01.901323image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
50k 32561
100.0%

Most occurring characters

ValueCountFrequency (%)
32561
17.4%
5 32561
17.4%
0 32561
17.4%
K 32561
17.4%
< 24720
13.2%
= 24720
13.2%
> 7841
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 65122
34.7%
Math Symbol 57281
30.5%
Space Separator 32561
17.4%
Uppercase Letter 32561
17.4%

Most frequent character per category

Math Symbol
ValueCountFrequency (%)
< 24720
43.2%
= 24720
43.2%
> 7841
 
13.7%
Decimal Number
ValueCountFrequency (%)
5 32561
50.0%
0 32561
50.0%
Space Separator
ValueCountFrequency (%)
32561
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 32561
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 154964
82.6%
Latin 32561
 
17.4%

Most frequent character per script

Common
ValueCountFrequency (%)
32561
21.0%
5 32561
21.0%
0 32561
21.0%
< 24720
16.0%
= 24720
16.0%
> 7841
 
5.1%
Latin
ValueCountFrequency (%)
K 32561
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 187525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32561
17.4%
5 32561
17.4%
0 32561
17.4%
K 32561
17.4%
< 24720
13.2%
= 24720
13.2%
> 7841
 
4.2%

Interactions

2023-09-02T17:15:54.028272image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:48.091576image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:49.239069image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:50.414638image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:51.584124image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:52.748902image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:54.220863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:48.287975image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:49.440761image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:50.613703image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:51.780689image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:52.948753image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:54.434606image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:48.488555image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:49.643584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:50.818211image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:51.982535image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:53.157843image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:54.636268image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:48.687429image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:49.850913image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:51.016584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:52.179584image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:53.349862image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:54.832450image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:48.874024image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:50.042289image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:51.210655image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:52.390469image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:53.527677image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:55.014518image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:49.053107image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:50.226124image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:51.398130image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:52.564723image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:15:53.843612image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2023-09-02T17:16:02.058876image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
agefnlgteducation-numcapital-gaincapital-losshours-per-weekworkclasseducationmarital-statusoccupationrelationshipracesexnative-countrysalary
age1.000-0.0780.0660.1250.0580.1430.1180.1110.2820.1210.2730.0270.1230.0310.316
fnlgt-0.0781.000-0.036-0.006-0.007-0.0220.0210.0170.0230.0180.0170.0660.0280.0550.006
education-num0.066-0.0361.0000.1190.0750.1670.0901.0000.0770.2220.1080.0690.0720.1410.362
capital-gain0.125-0.0060.1191.000-0.0670.0930.0520.1120.0370.0700.0430.0080.0480.0000.272
capital-loss0.058-0.0070.075-0.0671.0000.0600.0240.0420.0590.0340.0640.0110.0710.0050.201
hours-per-week0.143-0.0220.1670.0930.0601.0000.1160.0890.1180.1440.1610.0590.2400.0290.270
workclass0.1180.0210.0900.0520.0240.1161.0000.0970.0840.4000.0970.0540.1530.0290.179
education0.1110.0171.0000.1120.0420.0890.0971.0000.0890.1860.1210.0720.0930.1280.368
marital-status0.2820.0230.0770.0370.0590.1180.0840.0891.0000.1320.4880.0830.4620.0640.447
occupation0.1210.0180.2220.0700.0340.1440.4000.1860.1321.0000.1770.0780.4240.0640.351
relationship0.2730.0170.1080.0430.0640.1610.0970.1210.4880.1771.0000.0970.6490.0780.453
race0.0270.0660.0690.0080.0110.0590.0540.0720.0830.0780.0971.0000.1180.4080.100
sex0.1230.0280.0720.0480.0710.2400.1530.0930.4620.4240.6490.1181.0000.0570.216
native-country0.0310.0550.1410.0000.0050.0290.0290.1280.0640.0640.0780.4080.0571.0000.092
salary0.3160.0060.3620.2720.2010.2700.1790.3680.4470.3510.4530.1000.2160.0921.000

Missing values

2023-09-02T17:15:55.296253image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-02T17:15:55.785098image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

ageworkclassfnlgteducationeducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-countrysalary
039State-gov77516Bachelors13Never-marriedAdm-clericalNot-in-familyWhiteMale2174040United-States<=50K
150Self-emp-not-inc83311Bachelors13Married-civ-spouseExec-managerialHusbandWhiteMale0013United-States<=50K
238Private215646HS-grad9DivorcedHandlers-cleanersNot-in-familyWhiteMale0040United-States<=50K
353Private23472111th7Married-civ-spouseHandlers-cleanersHusbandBlackMale0040United-States<=50K
428Private338409Bachelors13Married-civ-spouseProf-specialtyWifeBlackFemale0040Cuba<=50K
537Private284582Masters14Married-civ-spouseExec-managerialWifeWhiteFemale0040United-States<=50K
649Private1601879th5Married-spouse-absentOther-serviceNot-in-familyBlackFemale0016Jamaica<=50K
752Self-emp-not-inc209642HS-grad9Married-civ-spouseExec-managerialHusbandWhiteMale0045United-States>50K
831Private45781Masters14Never-marriedProf-specialtyNot-in-familyWhiteFemale14084050United-States>50K
942Private159449Bachelors13Married-civ-spouseExec-managerialHusbandWhiteMale5178040United-States>50K
ageworkclassfnlgteducationeducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-countrysalary
3255132Private3406610th6Married-civ-spouseHandlers-cleanersHusbandAmer-Indian-EskimoMale0040United-States<=50K
3255243Private84661Assoc-voc11Married-civ-spouseSalesHusbandWhiteMale0045United-States<=50K
3255332Private116138Masters14Never-marriedTech-supportNot-in-familyAsian-Pac-IslanderMale0011Taiwan<=50K
3255453Private321865Masters14Married-civ-spouseExec-managerialHusbandWhiteMale0040United-States>50K
3255522Private310152Some-college10Never-marriedProtective-servNot-in-familyWhiteMale0040United-States<=50K
3255627Private257302Assoc-acdm12Married-civ-spouseTech-supportWifeWhiteFemale0038United-States<=50K
3255740Private154374HS-grad9Married-civ-spouseMachine-op-inspctHusbandWhiteMale0040United-States>50K
3255858Private151910HS-grad9WidowedAdm-clericalUnmarriedWhiteFemale0040United-States<=50K
3255922Private201490HS-grad9Never-marriedAdm-clericalOwn-childWhiteMale0020United-States<=50K
3256052Self-emp-inc287927HS-grad9Married-civ-spouseExec-managerialWifeWhiteFemale15024040United-States>50K

Duplicate rows

Most frequently occurring

ageworkclassfnlgteducationeducation-nummarital-statusoccupationrelationshipracesexcapital-gaincapital-losshours-per-weeknative-countrysalary# duplicates
825Private1959941st-4th2Never-marriedPriv-house-servNot-in-familyWhiteFemale0040Guatemala<=50K3
019Private97261HS-grad9Never-marriedFarming-fishingNot-in-familyWhiteMale0040United-States<=50K2
119Private138153Some-college10Never-marriedAdm-clericalOwn-childWhiteFemale0010United-States<=50K2
219Private146679Some-college10Never-marriedExec-managerialOwn-childBlackMale0030United-States<=50K2
319Private251579Some-college10Never-marriedOther-serviceOwn-childWhiteMale0014United-States<=50K2
420Private107658Some-college10Never-marriedTech-supportNot-in-familyWhiteFemale0010United-States<=50K2
521Private243368Preschool1Never-marriedFarming-fishingNot-in-familyWhiteMale0050Mexico<=50K2
621Private250051Some-college10Never-marriedProf-specialtyOwn-childWhiteFemale0010United-States<=50K2
723Private2401375th-6th3Never-marriedHandlers-cleanersNot-in-familyWhiteMale0055Mexico<=50K2
925Private308144Bachelors13Never-marriedCraft-repairNot-in-familyWhiteMale0040Mexico<=50K2

Report generated by YData.

\ No newline at end of file diff --git a/src/eda/eda_census_preproc_report.html b/src/eda/eda_census_preproc_report.html new file mode 100644 index 0000000000..891306ad26 --- /dev/null +++ b/src/eda/eda_census_preproc_report.html @@ -0,0 +1,30955 @@ +US Census Profiling Report - modified, encoded final data

Overview

Dataset statistics

Number of variables14
Number of observations31662
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 MiB
Average record size in memory120.0 B

Variable types

Numeric6
Categorical8

Alerts

relationship is highly overall correlated with sexHigh correlation
sex is highly overall correlated with relationshipHigh correlation
race is highly imbalanced (65.0%)Imbalance
mod_native_country is highly imbalanced (78.7%)Imbalance
capital_gain has 28951 (91.4%) zerosZeros
capital_loss has 30146 (95.2%) zerosZeros

Reproduction

Analysis started2023-09-02 15:17:08.362359
Analysis finished2023-09-02 15:17:18.222120
Duration9.86 seconds
Software versionydata-profiling vv4.3.1
Download configurationconfig.json

Variables

age
Real number (ℝ)

Distinct73
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.729676
Minimum17
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size494.7 KiB
2023-09-02T17:17:18.356194image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile20
Q128
median37
Q348
95-th percentile63
Maximum90
Range73
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.65723
Coefficient of variation (CV)0.35262959
Kurtosis-0.17312668
Mean38.729676
Median Absolute Deviation (MAD)10
Skewness0.55400474
Sum1226259
Variance186.51992
MonotonicityNot monotonic
2023-09-02T17:17:18.586771image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 876
 
2.8%
31 867
 
2.7%
34 858
 
2.7%
35 848
 
2.7%
33 847
 
2.7%
23 844
 
2.7%
28 842
 
2.7%
30 835
 
2.6%
37 832
 
2.6%
27 813
 
2.6%
Other values (63) 23200
73.3%
ValueCountFrequency (%)
17 373
1.2%
18 522
1.6%
19 663
2.1%
20 708
2.2%
21 682
2.2%
22 738
2.3%
23 844
2.7%
24 772
2.4%
25 810
2.6%
26 765
2.4%
ValueCountFrequency (%)
90 42
0.1%
88 3
 
< 0.1%
87 1
 
< 0.1%
86 1
 
< 0.1%
85 3
 
< 0.1%
84 10
 
< 0.1%
83 6
 
< 0.1%
82 12
 
< 0.1%
81 20
0.1%
80 22
0.1%

workclass
Categorical

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
Private
21896 
Self-emp-not-inc
2527 
Local-gov
 
2079
Other
 
1775
State-gov
 
1294
Other values (4)
 
2091

Length

Max length16
Median length7
Mean length8.1187543
Min length5

Characters and Unicode

Total characters257056
Distinct characters28
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowState-gov
2nd rowSelf-emp-not-inc
3rd rowPrivate
4th rowPrivate
5th rowPrivate

Common Values

ValueCountFrequency (%)
Private 21896
69.2%
Self-emp-not-inc 2527
 
8.0%
Local-gov 2079
 
6.6%
Other 1775
 
5.6%
State-gov 1294
 
4.1%
Self-emp-inc 1112
 
3.5%
Federal-gov 958
 
3.0%
Without-pay 14
 
< 0.1%
Never-worked 7
 
< 0.1%

Length

2023-09-02T17:17:18.810164image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:17:19.047774image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
private 21896
69.2%
self-emp-not-inc 2527
 
8.0%
local-gov 2079
 
6.6%
other 1775
 
5.6%
state-gov 1294
 
4.1%
self-emp-inc 1112
 
3.5%
federal-gov 958
 
3.0%
without-pay 14
 
< 0.1%
never-worked 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
e 34180
13.3%
t 28814
11.2%
a 26241
10.2%
v 26234
10.2%
i 25549
9.9%
r 24643
9.6%
P 21896
8.5%
- 14157
 
5.5%
o 8958
 
3.5%
l 6676
 
2.6%
Other values (18) 39708
15.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 211237
82.2%
Uppercase Letter 31662
 
12.3%
Dash Punctuation 14157
 
5.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 34180
16.2%
t 28814
13.6%
a 26241
12.4%
v 26234
12.4%
i 25549
12.1%
r 24643
11.7%
o 8958
 
4.2%
l 6676
 
3.2%
n 6166
 
2.9%
c 5718
 
2.7%
Other values (10) 18058
8.5%
Uppercase Letter
ValueCountFrequency (%)
P 21896
69.2%
S 4933
 
15.6%
L 2079
 
6.6%
O 1775
 
5.6%
F 958
 
3.0%
W 14
 
< 0.1%
N 7
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 14157
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 242899
94.5%
Common 14157
 
5.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 34180
14.1%
t 28814
11.9%
a 26241
10.8%
v 26234
10.8%
i 25549
10.5%
r 24643
10.1%
P 21896
9.0%
o 8958
 
3.7%
l 6676
 
2.7%
n 6166
 
2.5%
Other values (17) 33542
13.8%
Common
ValueCountFrequency (%)
- 14157
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257056
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 34180
13.3%
t 28814
11.2%
a 26241
10.2%
v 26234
10.2%
i 25549
9.9%
r 24643
9.6%
P 21896
8.5%
- 14157
 
5.5%
o 8958
 
3.5%
l 6676
 
2.6%
Other values (18) 39708
15.4%

education_num
Real number (ℝ)

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.091056
Minimum1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size494.7 KiB
2023-09-02T17:17:19.249283image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median10
Q313
95-th percentile14
Maximum16
Range15
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.5909591
Coefficient of variation (CV)0.25675799
Kurtosis0.59172178
Mean10.091056
Median Absolute Deviation (MAD)1
Skewness-0.32218847
Sum319503
Variance6.7130693
MonotonicityNot monotonic
2023-09-02T17:17:19.405238image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
9 10012
31.6%
10 7086
22.4%
13 5236
16.5%
14 1708
 
5.4%
11 1371
 
4.3%
7 1154
 
3.6%
12 1064
 
3.4%
6 915
 
2.9%
4 642
 
2.0%
15 574
 
1.8%
Other values (6) 1900
 
6.0%
ValueCountFrequency (%)
1 50
 
0.2%
2 165
 
0.5%
3 332
 
1.0%
4 642
 
2.0%
5 512
 
1.6%
6 915
 
2.9%
7 1154
 
3.6%
8 429
 
1.4%
9 10012
31.6%
10 7086
22.4%
ValueCountFrequency (%)
16 412
 
1.3%
15 574
 
1.8%
14 1708
 
5.4%
13 5236
16.5%
12 1064
 
3.4%
11 1371
 
4.3%
10 7086
22.4%
9 10012
31.6%
8 429
 
1.4%
7 1154
 
3.6%

marital_status
Categorical

Distinct7
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
Married-civ-spouse
14505 
Never-married
10307 
Divorced
4397 
Separated
 
1022
Widowed
 
990
Other values (2)
 
441

Length

Max length21
Median length18
Mean length14.388036
Min length7

Characters and Unicode

Total characters455554
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNever-married
2nd rowMarried-civ-spouse
3rd rowDivorced
4th rowMarried-civ-spouse
5th rowMarried-civ-spouse

Common Values

ValueCountFrequency (%)
Married-civ-spouse 14505
45.8%
Never-married 10307
32.6%
Divorced 4397
 
13.9%
Separated 1022
 
3.2%
Widowed 990
 
3.1%
Married-spouse-absent 418
 
1.3%
Married-AF-spouse 23
 
0.1%

Length

2023-09-02T17:17:19.611786image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:17:19.852911image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
married-civ-spouse 14505
45.8%
never-married 10307
32.6%
divorced 4397
 
13.9%
separated 1022
 
3.2%
widowed 990
 
3.1%
married-spouse-absent 418
 
1.3%
married-af-spouse 23
 
0.1%

Most occurring characters

ValueCountFrequency (%)
e 68662
15.1%
r 66232
14.5%
i 45145
9.9%
- 40199
8.8%
d 32652
7.2%
s 30310
 
6.7%
v 29209
 
6.4%
a 27715
 
6.1%
o 20333
 
4.5%
c 18902
 
4.1%
Other values (14) 76195
16.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 383647
84.2%
Dash Punctuation 40199
 
8.8%
Uppercase Letter 31708
 
7.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 68662
17.9%
r 66232
17.3%
i 45145
11.8%
d 32652
8.5%
s 30310
7.9%
v 29209
7.6%
a 27715
7.2%
o 20333
 
5.3%
c 18902
 
4.9%
p 15968
 
4.2%
Other values (6) 28519
7.4%
Uppercase Letter
ValueCountFrequency (%)
M 14946
47.1%
N 10307
32.5%
D 4397
 
13.9%
S 1022
 
3.2%
W 990
 
3.1%
A 23
 
0.1%
F 23
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 40199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 415355
91.2%
Common 40199
 
8.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 68662
16.5%
r 66232
15.9%
i 45145
10.9%
d 32652
7.9%
s 30310
7.3%
v 29209
7.0%
a 27715
6.7%
o 20333
 
4.9%
c 18902
 
4.6%
p 15968
 
3.8%
Other values (13) 60227
14.5%
Common
ValueCountFrequency (%)
- 40199
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 455554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 68662
15.1%
r 66232
14.5%
i 45145
9.9%
- 40199
8.8%
d 32652
7.2%
s 30310
 
6.7%
v 29209
 
6.4%
a 27715
 
6.1%
o 20333
 
4.5%
c 18902
 
4.1%
Other values (14) 76195
16.7%

occupation
Categorical

Distinct15
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
Prof-specialty
4088 
Exec-managerial
3983 
Craft-repair
3847 
Adm-clerical
3664 
Sales
3574 
Other values (10)
12506 

Length

Max length17
Median length15
Mean length12.430642
Min length5

Characters and Unicode

Total characters393579
Distinct characters31
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAdm-clerical
2nd rowExec-managerial
3rd rowHandlers-cleaners
4th rowHandlers-cleaners
5th rowProf-specialty

Common Values

ValueCountFrequency (%)
Prof-specialty 4088
12.9%
Exec-managerial 3983
12.6%
Craft-repair 3847
12.2%
Adm-clerical 3664
11.6%
Sales 3574
11.3%
Other-service 3216
10.2%
Machine-op-inspct 1904
6.0%
Other 1782
5.6%
Transport-moving 1569
 
5.0%
Handlers-cleaners 1333
 
4.2%
Other values (5) 2702
8.5%

Length

2023-09-02T17:17:20.066221image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
prof-specialty 4088
12.9%
exec-managerial 3983
12.6%
craft-repair 3847
12.2%
adm-clerical 3664
11.6%
sales 3574
11.3%
other-service 3216
10.2%
machine-op-inspct 1904
6.0%
other 1782
5.6%
transport-moving 1569
 
5.0%
handlers-cleaners 1333
 
4.2%
Other values (5) 2702
8.5%

Most occurring characters

ValueCountFrequency (%)
e 43628
 
11.1%
r 40794
 
10.4%
a 38094
 
9.7%
- 28357
 
7.2%
i 27922
 
7.1%
c 25325
 
6.4%
l 21639
 
5.5%
s 19866
 
5.0%
t 18608
 
4.7%
n 15567
 
4.0%
Other values (21) 113779
28.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 333551
84.7%
Uppercase Letter 31671
 
8.0%
Dash Punctuation 28357
 
7.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 43628
13.1%
r 40794
12.2%
a 38094
11.4%
i 27922
8.4%
c 25325
 
7.6%
l 21639
 
6.5%
s 19866
 
6.0%
t 18608
 
5.6%
n 15567
 
4.7%
p 15148
 
4.5%
Other values (10) 66960
20.1%
Uppercase Letter
ValueCountFrequency (%)
O 4998
15.8%
P 4877
15.4%
E 3983
12.6%
C 3847
12.1%
A 3673
11.6%
S 3574
11.3%
T 2487
7.9%
M 1904
 
6.0%
H 1333
 
4.2%
F 995
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 28357
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 365222
92.8%
Common 28357
 
7.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 43628
11.9%
r 40794
11.2%
a 38094
 
10.4%
i 27922
 
7.6%
c 25325
 
6.9%
l 21639
 
5.9%
s 19866
 
5.4%
t 18608
 
5.1%
n 15567
 
4.3%
p 15148
 
4.1%
Other values (20) 98631
27.0%
Common
ValueCountFrequency (%)
- 28357
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 393579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 43628
 
11.1%
r 40794
 
10.4%
a 38094
 
9.7%
- 28357
 
7.2%
i 27922
 
7.1%
c 25325
 
6.4%
l 21639
 
5.5%
s 19866
 
5.0%
t 18608
 
4.7%
n 15567
 
4.0%
Other values (21) 113779
28.9%

relationship
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
Husband
12729 
Not-in-family
8162 
Own-child
4811 
Unmarried
3419 
Wife
1561 

Length

Max length14
Median length13
Mean length9.1353357
Min length4

Characters and Unicode

Total characters289243
Distinct characters25
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNot-in-family
2nd rowHusband
3rd rowNot-in-family
4th rowHusband
5th rowWife

Common Values

ValueCountFrequency (%)
Husband 12729
40.2%
Not-in-family 8162
25.8%
Own-child 4811
 
15.2%
Unmarried 3419
 
10.8%
Wife 1561
 
4.9%
Other-relative 980
 
3.1%

Length

2023-09-02T17:17:20.259525image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:17:20.476780image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
husband 12729
40.2%
not-in-family 8162
25.8%
own-child 4811
 
15.2%
unmarried 3419
 
10.8%
wife 1561
 
4.9%
other-relative 980
 
3.1%

Most occurring characters

ValueCountFrequency (%)
n 29121
 
10.1%
i 27095
 
9.4%
a 25290
 
8.7%
- 22115
 
7.6%
d 20959
 
7.2%
l 13953
 
4.8%
H 12729
 
4.4%
u 12729
 
4.4%
s 12729
 
4.4%
b 12729
 
4.4%
Other values (15) 99794
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 235466
81.4%
Uppercase Letter 31662
 
10.9%
Dash Punctuation 22115
 
7.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 29121
12.4%
i 27095
11.5%
a 25290
10.7%
d 20959
 
8.9%
l 13953
 
5.9%
u 12729
 
5.4%
s 12729
 
5.4%
b 12729
 
5.4%
m 11581
 
4.9%
t 10122
 
4.3%
Other values (9) 59158
25.1%
Uppercase Letter
ValueCountFrequency (%)
H 12729
40.2%
N 8162
25.8%
O 5791
18.3%
U 3419
 
10.8%
W 1561
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 22115
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 267128
92.4%
Common 22115
 
7.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 29121
 
10.9%
i 27095
 
10.1%
a 25290
 
9.5%
d 20959
 
7.8%
l 13953
 
5.2%
H 12729
 
4.8%
u 12729
 
4.8%
s 12729
 
4.8%
b 12729
 
4.8%
m 11581
 
4.3%
Other values (14) 88213
33.0%
Common
ValueCountFrequency (%)
- 22115
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 289243
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 29121
 
10.1%
i 27095
 
9.4%
a 25290
 
8.7%
- 22115
 
7.6%
d 20959
 
7.2%
l 13953
 
4.8%
H 12729
 
4.4%
u 12729
 
4.4%
s 12729
 
4.4%
b 12729
 
4.4%
Other values (15) 99794
34.5%

race
Categorical

IMBALANCE 

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
White
26934 
Black
3108 
Asian-Pac-Islander
 
1038
Amer-Indian-Eskimo
 
311
Other
 
271

Length

Max length18
Median length5
Mean length5.5538816
Min length5

Characters and Unicode

Total characters175847
Distinct characters22
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowWhite
2nd rowWhite
3rd rowWhite
4th rowBlack
5th rowBlack

Common Values

ValueCountFrequency (%)
White 26934
85.1%
Black 3108
 
9.8%
Asian-Pac-Islander 1038
 
3.3%
Amer-Indian-Eskimo 311
 
1.0%
Other 271
 
0.9%

Length

2023-09-02T17:17:20.677547image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:17:20.888029image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
white 26934
85.1%
black 3108
 
9.8%
asian-pac-islander 1038
 
3.3%
amer-indian-eskimo 311
 
1.0%
other 271
 
0.9%

Most occurring characters

ValueCountFrequency (%)
i 28594
16.3%
e 28554
16.2%
t 27205
15.5%
h 27205
15.5%
W 26934
15.3%
a 6533
 
3.7%
l 4146
 
2.4%
c 4146
 
2.4%
k 3419
 
1.9%
B 3108
 
1.8%
Other values (12) 16003
9.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 138789
78.9%
Uppercase Letter 34360
 
19.5%
Dash Punctuation 2698
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 28594
20.6%
e 28554
20.6%
t 27205
19.6%
h 27205
19.6%
a 6533
 
4.7%
l 4146
 
3.0%
c 4146
 
3.0%
k 3419
 
2.5%
n 2698
 
1.9%
s 2387
 
1.7%
Other values (4) 3902
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
W 26934
78.4%
B 3108
 
9.0%
A 1349
 
3.9%
I 1349
 
3.9%
P 1038
 
3.0%
E 311
 
0.9%
O 271
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 2698
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 173149
98.5%
Common 2698
 
1.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 28594
16.5%
e 28554
16.5%
t 27205
15.7%
h 27205
15.7%
W 26934
15.6%
a 6533
 
3.8%
l 4146
 
2.4%
c 4146
 
2.4%
k 3419
 
2.0%
B 3108
 
1.8%
Other values (11) 13305
7.7%
Common
ValueCountFrequency (%)
- 2698
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 175847
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
i 28594
16.3%
e 28554
16.2%
t 27205
15.5%
h 27205
15.5%
W 26934
15.3%
a 6533
 
3.7%
l 4146
 
2.4%
c 4146
 
2.4%
k 3419
 
1.9%
B 3108
 
1.8%
Other values (12) 16003
9.1%

sex
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
0
21135 
1
10527 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters31662
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 21135
66.8%
1 10527
33.2%

Length

2023-09-02T17:17:21.065248image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:17:21.245443image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
0 21135
66.8%
1 10527
33.2%

Most occurring characters

ValueCountFrequency (%)
0 21135
66.8%
1 10527
33.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31662
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21135
66.8%
1 10527
33.2%

Most occurring scripts

ValueCountFrequency (%)
Common 31662
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 21135
66.8%
1 10527
33.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31662
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 21135
66.8%
1 10527
33.2%

capital_gain
Real number (ℝ)

ZEROS 

Distinct119
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1107.7727
Minimum0
Maximum99999
Zeros28951
Zeros (%)91.4%
Negative0
Negative (%)0.0%
Memory size494.7 KiB
2023-09-02T17:17:21.431097image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5013
Maximum99999
Range99999
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7486.739
Coefficient of variation (CV)6.758371
Kurtosis150.47208
Mean1107.7727
Median Absolute Deviation (MAD)0
Skewness11.788113
Sum35074300
Variance56051261
MonotonicityNot monotonic
2023-09-02T17:17:21.663327image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28951
91.4%
15024 346
 
1.1%
7688 284
 
0.9%
7298 246
 
0.8%
99999 159
 
0.5%
5178 97
 
0.3%
3103 97
 
0.3%
4386 70
 
0.2%
5013 69
 
0.2%
8614 55
 
0.2%
Other values (109) 1288
 
4.1%
ValueCountFrequency (%)
0 28951
91.4%
114 6
 
< 0.1%
401 2
 
< 0.1%
594 34
 
0.1%
914 8
 
< 0.1%
991 5
 
< 0.1%
1055 25
 
0.1%
1086 4
 
< 0.1%
1111 1
 
< 0.1%
1151 8
 
< 0.1%
ValueCountFrequency (%)
99999 159
0.5%
41310 2
 
< 0.1%
34095 5
 
< 0.1%
27828 34
 
0.1%
25236 11
 
< 0.1%
25124 4
 
< 0.1%
22040 1
 
< 0.1%
20051 37
 
0.1%
18481 2
 
< 0.1%
15831 6
 
< 0.1%

capital_loss
Real number (ℝ)

ZEROS 

Distinct92
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.616038
Minimum0
Maximum4356
Zeros30146
Zeros (%)95.2%
Negative0
Negative (%)0.0%
Memory size494.7 KiB
2023-09-02T17:17:21.903633image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum4356
Range4356
Interquartile range (IQR)0

Descriptive statistics

Standard deviation408.04342
Coefficient of variation (CV)4.553241
Kurtosis19.733918
Mean89.616038
Median Absolute Deviation (MAD)0
Skewness4.52729
Sum2837423
Variance166499.43
MonotonicityNot monotonic
2023-09-02T17:17:22.124949image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30146
95.2%
1902 202
 
0.6%
1977 167
 
0.5%
1887 159
 
0.5%
1848 51
 
0.2%
1485 51
 
0.2%
2415 49
 
0.2%
1602 47
 
0.1%
1740 42
 
0.1%
1590 40
 
0.1%
Other values (82) 708
 
2.2%
ValueCountFrequency (%)
0 30146
95.2%
155 1
 
< 0.1%
213 4
 
< 0.1%
323 3
 
< 0.1%
419 3
 
< 0.1%
625 12
 
< 0.1%
653 3
 
< 0.1%
810 2
 
< 0.1%
880 6
 
< 0.1%
974 2
 
< 0.1%
ValueCountFrequency (%)
4356 3
 
< 0.1%
3900 2
 
< 0.1%
3770 2
 
< 0.1%
3683 2
 
< 0.1%
3004 2
 
< 0.1%
2824 10
< 0.1%
2754 2
 
< 0.1%
2603 5
< 0.1%
2559 12
< 0.1%
2547 4
 
< 0.1%

hours_per_week
Real number (ℝ)

Distinct94
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.488282
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size494.7 KiB
2023-09-02T17:17:22.357340image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q140
median40
Q345
95-th percentile60
Maximum99
Range98
Interquartile range (IQR)5

Descriptive statistics

Standard deviation12.455924
Coefficient of variation (CV)0.30764268
Kurtosis2.8407637
Mean40.488282
Median Absolute Deviation (MAD)4
Skewness0.22956941
Sum1281940
Variance155.15003
MonotonicityNot monotonic
2023-09-02T17:17:22.591533image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 14517
45.8%
50 2771
 
8.8%
45 1801
 
5.7%
60 1469
 
4.6%
35 1287
 
4.1%
20 1170
 
3.7%
30 1133
 
3.6%
55 688
 
2.2%
25 664
 
2.1%
48 515
 
1.6%
Other values (84) 5647
 
17.8%
ValueCountFrequency (%)
1 20
 
0.1%
2 32
 
0.1%
3 39
 
0.1%
4 54
 
0.2%
5 60
 
0.2%
6 64
 
0.2%
7 26
 
0.1%
8 145
0.5%
9 18
 
0.1%
10 274
0.9%
ValueCountFrequency (%)
99 85
0.3%
98 11
 
< 0.1%
97 2
 
< 0.1%
96 5
 
< 0.1%
95 2
 
< 0.1%
94 1
 
< 0.1%
92 1
 
< 0.1%
91 3
 
< 0.1%
90 29
 
0.1%
89 2
 
< 0.1%

salary
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
0
23965 
1
7697 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters31662
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 23965
75.7%
1 7697
 
24.3%

Length

2023-09-02T17:17:23.014835image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-09-02T17:17:23.198596image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ValueCountFrequency (%)
0 23965
75.7%
1 7697
 
24.3%

Most occurring characters

ValueCountFrequency (%)
0 23965
75.7%
1 7697
 
24.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 31662
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23965
75.7%
1 7697
 
24.3%

Most occurring scripts

ValueCountFrequency (%)
Common 31662
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23965
75.7%
1 7697
 
24.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31662
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23965
75.7%
1 7697
 
24.3%

mod_fnlgt
Real number (ℝ)

Distinct28
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215021.16
Minimum50000
Maximum1500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size494.7 KiB
2023-09-02T17:17:23.361255image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Quantile statistics

Minimum50000
5-th percentile50000
Q1150000
median200000
Q3250000
95-th percentile400000
Maximum1500000
Range1450000
Interquartile range (IQR)100000

Descriptive statistics

Standard deviation107584.22
Coefficient of variation (CV)0.50034247
Kurtosis5.9088971
Mean215021.16
Median Absolute Deviation (MAD)50000
Skewness1.3872996
Sum6.808 × 109
Variance1.1574364 × 1010
MonotonicityNot monotonic
2023-09-02T17:17:23.556192image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
200000 7843
24.8%
150000 6091
19.2%
250000 5058
16.0%
100000 3340
10.5%
300000 2711
 
8.6%
50000 2239
 
7.1%
350000 1985
 
6.3%
400000 1137
 
3.6%
450000 617
 
1.9%
500000 269
 
0.8%
Other values (18) 372
 
1.2%
ValueCountFrequency (%)
50000 2239
 
7.1%
100000 3340
10.5%
150000 6091
19.2%
200000 7843
24.8%
250000 5058
16.0%
300000 2711
 
8.6%
350000 1985
 
6.3%
400000 1137
 
3.6%
450000 617
 
1.9%
500000 269
 
0.8%
ValueCountFrequency (%)
1500000 2
< 0.1%
1400000 1
 
< 0.1%
1300000 1
 
< 0.1%
1250000 1
 
< 0.1%
1200000 2
< 0.1%
1150000 1
 
< 0.1%
1100000 2
< 0.1%
1050000 3
< 0.1%
1000000 3
< 0.1%
950000 4
< 0.1%

mod_native_country
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size494.7 KiB
United-States
28282 
Other
 
784
Mexico
 
637
South_East_Asia
 
320
North_West_South_Europe
 
299
Other values (11)
 
1340

Length

Max length23
Median length13
Mean length12.701693
Min length5

Characters and Unicode

Total characters402161
Distinct characters35
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUnited-States
2nd rowUnited-States
3rd rowUnited-States
4th rowUnited-States
5th rowCaribbean

Common Values

ValueCountFrequency (%)
United-States 28282
89.3%
Other 784
 
2.5%
Mexico 637
 
2.0%
South_East_Asia 320
 
1.0%
North_West_South_Europe 299
 
0.9%
Caribbean 290
 
0.9%
Central_America 214
 
0.7%
South_Middle_Asia 143
 
0.5%
Outlying-US 128
 
0.4%
Canada 121
 
0.4%
Other values (6) 444
 
1.4%

Length

2023-09-02T17:17:23.779773image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
united-states 28282
89.3%
other 784
 
2.5%
mexico 637
 
2.0%
south_east_asia 320
 
1.0%
north_west_south_europe 299
 
0.9%
caribbean 290
 
0.9%
central_america 214
 
0.7%
south_middle_asia 143
 
0.5%
outlying-us 128
 
0.4%
canada 121
 
0.4%
Other values (6) 444
 
1.4%

Most occurring characters

ValueCountFrequency (%)
t 88006
21.9%
e 59680
14.8%
a 30973
 
7.7%
i 30401
 
7.6%
s 29482
 
7.3%
S 29408
 
7.3%
n 29263
 
7.3%
d 28689
 
7.1%
U 28410
 
7.1%
- 28410
 
7.1%
Other values (25) 19439
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 308769
76.8%
Uppercase Letter 62591
 
15.6%
Dash Punctuation 28410
 
7.1%
Connector Punctuation 2391
 
0.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 88006
28.5%
e 59680
19.3%
a 30973
 
10.0%
i 30401
 
9.8%
s 29482
 
9.5%
n 29263
 
9.5%
d 28689
 
9.3%
o 2391
 
0.8%
r 2336
 
0.8%
h 2156
 
0.7%
Other values (11) 5392
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 29408
47.0%
U 28410
45.4%
O 912
 
1.5%
E 855
 
1.4%
A 795
 
1.3%
M 780
 
1.2%
C 700
 
1.1%
W 299
 
0.5%
N 299
 
0.5%
J 62
 
0.1%
Other values (2) 71
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 28410
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2391
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 371360
92.3%
Common 30801
 
7.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 88006
23.7%
e 59680
16.1%
a 30973
 
8.3%
i 30401
 
8.2%
s 29482
 
7.9%
S 29408
 
7.9%
n 29263
 
7.9%
d 28689
 
7.7%
U 28410
 
7.7%
o 2391
 
0.6%
Other values (23) 14657
 
3.9%
Common
ValueCountFrequency (%)
- 28410
92.2%
_ 2391
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 402161
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 88006
21.9%
e 59680
14.8%
a 30973
 
7.7%
i 30401
 
7.6%
s 29482
 
7.3%
S 29408
 
7.3%
n 29263
 
7.3%
d 28689
 
7.1%
U 28410
 
7.1%
- 28410
 
7.1%
Other values (25) 19439
 
4.8%

Interactions

2023-09-02T17:17:16.277111image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:10.342225image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:11.506757image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:12.676426image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:13.808155image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:14.893362image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:16.481437image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:10.535400image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:11.722523image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:12.867687image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:13.995873image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:15.095125image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:16.697980image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:10.736085image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:11.923156image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:13.061740image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:14.188332image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:15.291863image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:16.888622image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:10.928854image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:12.110746image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:13.250279image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:14.361962image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:15.472129image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:17.070758image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:11.111484image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:12.288304image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:13.429946image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:14.524573image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:15.899702image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:17.260964image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:11.302978image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:12.472449image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:13.610546image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:14.698226image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
2023-09-02T17:17:16.078048image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/

Correlations

2023-09-02T17:17:23.971125image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
ageeducation_numcapital_gaincapital_losshours_per_weekmod_fnlgtworkclassmarital_statusoccupationrelationshipracesexsalarymod_native_country
age1.0000.0670.1240.0570.136-0.0810.1170.2800.1190.2690.0270.1140.3140.028
education_num0.0671.0000.1190.0740.167-0.0360.0890.0770.2210.1080.0690.0750.3610.133
capital_gain0.1240.1191.000-0.0690.093-0.0070.0510.0370.0710.0440.0090.0490.2740.005
capital_loss0.0570.074-0.0691.0000.059-0.0080.0230.0600.0340.0650.0120.0720.2020.000
hours_per_week0.1360.1670.0930.0591.000-0.0210.1160.1170.1430.1590.0620.2390.2690.028
mod_fnlgt-0.081-0.036-0.007-0.008-0.0211.0000.0200.0240.0190.0160.0670.0310.0000.052
workclass0.1170.0890.0510.0230.1160.0201.0000.0840.3990.0970.0540.1540.1770.031
marital_status0.2800.0770.0370.0600.1170.0240.0841.0000.1280.4860.0830.4580.4490.059
occupation0.1190.2210.0710.0340.1430.0190.3990.1281.0000.1730.0790.4180.3490.056
relationship0.2690.1080.0440.0650.1590.0160.0970.4860.1731.0000.0970.6490.4560.070
race0.0270.0690.0090.0120.0620.0670.0540.0830.0790.0971.0000.1180.1030.374
sex0.1140.0750.0490.0720.2390.0310.1540.4580.4180.6490.1181.0000.2160.053
salary0.3140.3610.2740.2020.2690.0000.1770.4490.3490.4560.1030.2161.0000.088
mod_native_country0.0280.1330.0050.0000.0280.0520.0310.0590.0560.0700.3740.0530.0881.000

Missing values

2023-09-02T17:17:17.557839image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-09-02T17:17:18.003372image/svg+xmlMatplotlib v3.6.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

ageworkclasseducation_nummarital_statusoccupationrelationshipracesexcapital_gaincapital_losshours_per_weeksalarymod_fnlgtmod_native_country
039State-gov13Never-marriedAdm-clericalNot-in-familyWhite021740400100000United-States
150Self-emp-not-inc13Married-civ-spouseExec-managerialHusbandWhite000130100000United-States
238Private9DivorcedHandlers-cleanersNot-in-familyWhite000400250000United-States
353Private7Married-civ-spouseHandlers-cleanersHusbandBlack000400250000United-States
428Private13Married-civ-spouseProf-specialtyWifeBlack100400350000Caribbean
537Private14Married-civ-spouseExec-managerialWifeWhite100400300000United-States
649Private5Married-spouse-absentOther-serviceNot-in-familyBlack100160200000Caribbean
752Self-emp-not-inc9Married-civ-spouseExec-managerialHusbandWhite000451250000United-States
831Private14Never-marriedProf-specialtyNot-in-familyWhite114084050150000United-States
942Private13Married-civ-spouseExec-managerialHusbandWhite051780401200000United-States
ageworkclasseducation_nummarital_statusoccupationrelationshipracesexcapital_gaincapital_losshours_per_weeksalarymod_fnlgtmod_native_country
3254943State-gov10DivorcedAdm-clericalOther-relativeWhite100400300000United-States
3255043Self-emp-not-inc10Married-civ-spouseCraft-repairHusbandWhite00050050000United-States
3255132Private6Married-civ-spouseHandlers-cleanersHusbandAmer-Indian-Eskimo00040050000United-States
3255243Private11Married-civ-spouseSalesHusbandWhite000450100000United-States
3255332Private14Never-marriedTech-supportNot-in-familyAsian-Pac-Islander000110150000Taiwan
3255453Private14Married-civ-spouseExec-managerialHusbandWhite000401350000United-States
3255522Private10Never-marriedProtective-servNot-in-familyWhite000400350000United-States
3255627Private12Married-civ-spouseTech-supportWifeWhite100380300000United-States
3255858Private9WidowedAdm-clericalUnmarriedWhite100400200000United-States
3256052Self-emp-inc9Married-civ-spouseExec-managerialWifeWhite1150240401300000United-States

Report generated by YData.

\ No newline at end of file diff --git a/src/httpx_render.py b/src/httpx_render.py new file mode 100644 index 0000000000..88d12ae672 --- /dev/null +++ b/src/httpx_render.py @@ -0,0 +1,35 @@ +# Check render requests for FastAPI app which is using httpx, based on requests +# see: https://www.python-httpx.org/quickstart/ + +import httpx + + +sample = { + "age": 38, + "workclass": "Private", + "fnlgt": 215646, + "education": "HS-grad", + "education_num": 9, + "marital_status": "Divorced", + "occupation": "Handlers-cleaners", + "relationship": "Not-in-family", + "race": "White", + "sex": "Male", + "capital_gain": 0, + "capital_loss": 0, + "hours_per_week": 40, + "native_country": "United-States", +} + +# GET, check first feature attribute +response = httpx.get('https://census-project-xki0.onrender.com/feature_labels/age') +print('--- Render census-project feature GET life service test ---') +print(f'response status code: {response.status_code}') +print(f'response json value: {response.json()}\n') + +# POST, check given sample +print('--- Render census-project person data POST life service test ---') +response = httpx.post('https://census-project-xki0.onrender.com/predict/', + json=sample) +print(f'response status code: {response.status_code}') +print(f'response content:\n{response.content}') diff --git a/src/main.py b/src/main.py new file mode 100644 index 0000000000..9a77fbf159 --- /dev/null +++ b/src/main.py @@ -0,0 +1,233 @@ +#!/usr/bin/env -S python3 -i + +""" +Script to handle the API code here. +Be able to view the interactive API documentation, powered by Swagger UI, +at http://localhost:8000/docs + +Read-in of Person class instance is optional regarding original categorical features. + +For production code, set debug on False. +For general FastAPI information, see: +https://fastapi.tiangolo.com/tutorial/ +For application setup, see: +https://fastapi.tiangolo.com/advanced/events/ +For FastAPI beginner tutorial, start with: +https://fastapi.tiangolo.com/tutorial/first-steps/ +For advanced FastAPI example, see: +https://github.com/microsoft/cookiecutter-spacy-fastapi/blob/master/%7B%7Bcookiecutter.project_slug%7D%7D/app/api.py +For testing see: +https://fastapi.tiangolo.com/tutorial/testing/ + +future toDo: +add a custom exception handler with @app.exception_handler() +see: https://fastapi.tiangolo.com/tutorial/handling-errors/ + + +author: Ilona Brinkmeier +date: 2023-09 +""" + +################### +# Imports +################### + +import logging +import uvicorn +import asyncio +import signal +import os +import sys +import yaml +import numpy as np +import pandas as pd + +# needed to run this script alone +MAIN_DIR = os.path.join(os.getcwd(), 'src/') +APP_DIR = os.path.join(MAIN_DIR, 'app/') +sys.path.append(MAIN_DIR) +sys.path.append(os.getcwd()) +print(f'sys.path : {sys.path}') + +from typing import Any +from contextlib import asynccontextmanager +from fastapi import FastAPI, Body, HTTPException, Response, Request, status +from fastapi.encoders import jsonable_encoder +from fastapi.exceptions import RequestValidationError +from fastapi.responses import JSONResponse + +from app.schemas import FeatureLabels, Person +from training.ml.data import clean_data +from training.ml.model import inference +from config import get_config +from slice_performance import load_transformer_artifact, load_final_model_artifact + +################### +# Coding +################### + +# get logging properties +# info see: https://realpython.com/python-logging-source-code/ +logger = logging.getLogger(__name__) + +# variable to store artifacts names +ml_components = {} + +# read in examples +examples_file = os.path.join(APP_DIR, 'examples_request.yml') +with open(examples_file) as f: + examples_request = yaml.safe_load(f) + + +# customised exception +class InferenceNotPossible(HTTPException): + ''' Raised if inference workflow went wrong ''' + def __init__(self) -> None: + super().__init__(status_code=404, detail="Client error: Inference not possible") + + +# Define the signal handler function +def graceful_shutdown(signum, frame) -> None: + # Perform cleanup tasks here (closing db connections, saving state, ...); + # e.g. has to be filled, if Person items are stored in a database + + # Set the stop condition when receiving SIGTERM. + loop = asyncio.get_running_loop() + stop = loop.create_future() + loop.add_signal_handler(signal.SIGTERM, stop.set_result, None) + + # Finally, exit the application + logger.warning("Shutting down the FastAPI US Census app") + sys.exit(0) + + +# Register the signal handler for SIGTERM +signal.signal(signal.SIGTERM, graceful_shutdown) + + +@asynccontextmanager +async def lifespan(app: FastAPI) -> None: + ''' Handles transformer and model artifacts for startup and shutdown. + + The coding before the yield will be executed before the application starts taking + requests, during the startup. + The coding after the yield will be executed after the application finishes handling requests, + right before the shutdown. + ''' + try: + logging.debug('Read in post-market transformer and model artifacts') + # load ml components: feature transformer and classifier artifacts + transformer_artifact = load_transformer_artifact() + ml_components['transformer_artifact'] = transformer_artifact + model_artifact = load_final_model_artifact() + ml_components['model_artifact'] = model_artifact + + yield + + # clean up the ML components and release the resources + logging.debug('Resource cleaning of transformer and model artifacts') + ml_components.clear() + except Exception as e: + logger.exception("Exit: exception of type %s occurred. Details: %s", type(e).__name__, str(e)) + else: + txt = 'Handling of transformer and model artifacts was successful during lifespan of FastAPI app.' + logger.debug(txt) + + +app = FastAPI( + title = "Udacity MLOps, Project 3 - Prediction Model for Public US Census Bureau Data", + description = "Deploying a Binary Classification ML Model with FastAPI interface; \ + its inference is about having a salary <=50K or >50K", + version = "0.1", + lifespan=lifespan, + debug = True +) + + +@app.exception_handler(RequestValidationError) +async def validation_exception_handler(request: Request, exc: RequestValidationError): + return JSONResponse( + status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, + content=jsonable_encoder({"detail": exc.errors(), "body": exc.body}), + ) + + +@app.get("/") +async def root() -> Response: + ''' Returns welcome message at root level ''' + response = Response( + status_code=status.HTTP_200_OK, + content="Welcome to the Udacity MLOps project 3 and its salary prediction application!" + ) + return response + + +@app.get("/feature_labels/{feature_name}") +async def feature_labels(feature_name: FeatureLabels) -> Any: + ''' Read-in feature values with original label from US census dataset ''' + logging.info("Read-in of feature values from examples_request file started") + feat_value = examples_request['features_labels'][feature_name] + return feat_value + + +@app.post("/predict/") +async def predict(person: Person = Body(..., examples=examples_request['test_examples'])): + ''' + Returns prediction of test examples about income class, being <=50k or >50k, + so having a proper response status number 200 in such cases. + + If only a few features are having a wrong value type, the model shall be able to handle + this properly having an inference result of being an <=50k or >50k item as well. + Using string type is still fine with test cases, int type is not by using Pydantic V2 or higher + as dependency of FastAPI framework. + + If most of the features are missing or wrong numbers are given as string, + a value error shall be thrown with response status number 422 (HTTPStatus.UNPROCESSABLE_ENTITY). + ''' + logging.info("Model classification inference started") + # Pydantic V2 warning thrown by using .dict() (FastAPI dependency) + # https://stackoverflow.com/questions/76760600/how-to-fix-pydantics-deprecation-warning-about-using-model-dict-method + # https://docs.pydantic.dev/2.6/migration/ + # https://docs.pydantic.dev/latest/concepts/serialization/#modelmodel_dump + # the following code works only with Pydantic V1: + # person = person.dict() + # new coding of Pydantic V2 + person = person.model_dump() + + features = np.array( + [person[f] for f in examples_request['features_labels'].keys()] + ).reshape(1, -1) + + df = pd.DataFrame(features, columns=examples_request['features_labels'].keys()) + df_cleaned = clean_data(df, get_config()) + logger.info('Census cleaned new adult person data with %s features', + df_cleaned.shape[1]) + logger.info('Its columns are: %s', df_cleaned.columns) + + # cleaning inference case for person dataframe (X = df_cleaned), not training + X_processed = ml_components['transformer_artifact'].transform(df_cleaned) + # predict income class + model = ml_components['model_artifact'] + y_pred = inference(model, X_processed) + logger.info('Predict post y_pred: %s', y_pred) + if y_pred not in [0, 1]: + raise InferenceNotPossible(HTTPException('US census prediction workflow error')) + + pred_class = '>50k' if y_pred == 1 else '<=50k' + logger.info('income prediction label: %s, salary class: %s', y_pred[0], pred_class) + + content_txt = ''.join( + ['income prediction label: ', str(y_pred[0]), + ', ', + 'salary class: ', pred_class] + ) + response = Response( + status_code = status.HTTP_200_OK, + content = content_txt, + ) + + return response + + +if __name__ == "__main__": + uvicorn.run("main:app", host="0.0.0.0", port=8000, reload=True) diff --git a/src/slice_performance.py b/src/slice_performance.py new file mode 100644 index 0000000000..528cdfc13a --- /dev/null +++ b/src/slice_performance.py @@ -0,0 +1,175 @@ +#!/usr/bin/env -S python3 -i + +""" +Script to handle slice performance evaluation of the XGBoost classifier, +only for unique value groups of categorical features of the preprocessed +dataset. +author: Ilona Brinkmeier +date: 2023-09 + +Note regarding preprocessing steps: +sex is numerical, education_num used instead of education string +and the native-country feature is modified. + +So, the categorical features are: +- "workclass", +- "marital-status", +- "occupation", +- "relationship", +- "race", +- "mod_native_country" +""" + +################### +# Imports +################### + +import os +import sys +import logging +import pandas as pd +import joblib + +from sklearn.model_selection import train_test_split +from pathlib import Path +from datetime import datetime +TODAY = datetime.today().strftime('%Y-%m-%d_%H-%M') + +# needed to run this script alone +MAIN_DIR = os.path.join(os.getcwd(), 'src/') +sys.path.append(MAIN_DIR) +sys.path.append(os.getcwd()) +print(f'sys.path : {sys.path}') + +from training.ml.model import inference, compute_model_metrics +from training.ml.data import clean_data, get_cat_features +from config import get_config, get_data_path, get_models_path + + +##################### +# Coding +##################### + +# get logging properties +# info see: https://realpython.com/python-logging-source-code/ +logger = logging.getLogger(__name__) + +# get configuration file +config_file = get_config() + + +def load_final_model_artifact(): + """ Returns final model classifier artifact from training process """ + path = os.path.join(get_models_path(), config_file['model']['final_xgb_artifact']) + assert Path(path).exists(), f'model artifact of given path does not exist: {path}' + logger.info('Final model artifact path for slice performance exists: %s', path) + try: + return joblib.load(path) + except Exception as e: + logger.exception("Census final model artifact not loaded for slice performance action") + raise FileNotFoundError(path) from e + + +def load_transformer_artifact(): + """ Returns final column transformer artifact from training process """ + path = os.path.join(get_models_path(), config_file['model']['col_transformer']) + assert Path(path).exists(), f'transformer artifact of given path does not exist: {path}' + logger.info('Final column transformer artifact path for slice performance exists: %s', path) + try: + return joblib.load(path) + except Exception as e: + logger.exception("Census final transformer artifact not loaded for slice performance action") + raise FileNotFoundError(path) from e + + +def load_preproc_data() -> pd.DataFrame: + """ + Returns the preprocessed census dataset as dataframe, + if available. If not raises FileNotFoundError exception. + """ + path = os.path.join(get_data_path(), config_file['etl']['orig_census']) + assert Path(path).exists(), f'dataset of given path does not exist: {path}' + logger.info('Census preprocessed data path for slice performance exists: %s', path) + try: + df = pd.read_csv(path) + df = clean_data(df, config_file) + logger.info('Census preprocessed dataset: %s samples with %s features each', + df.shape[0], df.shape[1]) + logger.info('Its columns are: %s', df.columns) + return df + except Exception as e: + logger.exception("Census preprocessed data not loaded for slice performance action") + raise FileNotFoundError(path) from e + + +def compute_slice_metrics_categorical(): + """ + Calculates metrics on data slices of specific categorical columns via inference. + The metrics are Precision, Recall, F1 and Confusion Matrix. + Evaluation information is stored in output file slice_output.txt. + + Note: + If as starting point data or pretrained artifacts could not be read in, system exit happens. + + Using the model created before on the same data, means this is only a playground + of a testing procedure and not a valid production one. Using this for production, + new, unknown data must be used. + The metric results are not expected to be valid, because the model knows data already + and data leakage issue may appear, overfitting is expected. + """ + + # read in cleaned data, remember: salary is a binary number after cleaning + try: + df_data = load_preproc_data() + _, test = train_test_split(df_data, test_size=0.20) + cat_features = get_cat_features(df_data) + model_artifact = load_final_model_artifact() + transformer_artifact = load_transformer_artifact() + except Exception as e: + logger.exception("Exit: exception of type %s occurred. Details: %s", type(e).__name__, str(e)) + sys.exit(1) + else: + logger.info('Read-in of data, transformer, model artifacts was successful. Do performance evaluation.') + + # write to performance metric file - './_slice_output.txt' + FILE_HEADER = 'Performance Evaluation Metrics of Categorical Census Features\n' + LINE = '_____________________________________________________________\n\n' + file_name = os.path.join(MAIN_DIR, TODAY + '_' + config_file['model']['slice_output_file']) + + slice_metrics = [] + for cat_feat in cat_features: + for cols in test[cat_feat].unique(): # look at cols of categorical unique group + logger.info('Slice performance evaluation for categorical value group and cols: %s', + cols) + # prepare data + df_cat_group = test[test[cat_feat] == cols] + y = df_cat_group['salary'] + X = df_cat_group.drop(columns=['salary']) + X_processed = transformer_artifact.transform(X) # inference case, not training + + # predict + y_preds = inference(model_artifact, X_processed) + + # metrics, cls-report not used + prec, rec, fbeta, cm, _ = compute_model_metrics( + y, y_preds + ) + cat_group_metrics = ( + f'{cat_feat} - {cols}:\n' + f' Precision: {prec: .2f}, Recall: {rec: .2f}, Fbeta: {fbeta: .2f}\n' + f' Confusion Matrix: \n{cm}\n\n' + ) + slice_metrics.append(cat_group_metrics) + + # write to performance metric file - './_slice_output.txt' + with open(file_name, 'w') as a_writer: + a_writer.write(FILE_HEADER) + a_writer.write(LINE) + for cat_group_metrics in slice_metrics: + a_writer.write(cat_group_metrics) + + logging.info("Performance evaluation metrics for categorical slices saved to slice output text file") + + +if __name__ == '__main__': + compute_slice_metrics_categorical() diff --git a/src/training/__init__.py b/src/training/__init__.py new file mode 100644 index 0000000000..895547f5d6 --- /dev/null +++ b/src/training/__init__.py @@ -0,0 +1,34 @@ +# a user can manipulate/configure logger from project libraries like any other Python object + +import logging +from logging import Formatter, NullHandler +from colorama import Fore, Style + +print(f'Invoking __init__.py for {__name__}') + +COLORS = {"DEBUG": Fore.BLUE, + "INFO": Fore.BLACK, + "WARNING": Fore.YELLOW, + "ERROR": Fore.RED, + "CRITICAL": Fore.MAGENTA} + + +class CustomColoredFormatter(Formatter): + def __init__(self, *, format, use_color): + ''' Initialise customized formatter class ''' + Formatter.__init__(self, fmt=format) + self.use_color = use_color + + def format(self, record): + ''' Sets message colour according log level ''' + msg = super().format(record) + if self.use_color: + levelname = record.levelname + if hasattr(record, "color"): + return f"{record.color}{msg}{Style.RESET_ALL}" + if levelname in COLORS: + return f"{COLORS[levelname]}{msg}{Style.RESET_ALL}" + return msg + + +logging.getLogger(__name__).addHandler(NullHandler()) diff --git a/src/training/ml/__init__.py b/src/training/ml/__init__.py new file mode 100644 index 0000000000..d99fdd5fd3 --- /dev/null +++ b/src/training/ml/__init__.py @@ -0,0 +1,3 @@ +# a user can manipulate/configure logger from project libraries like any other Python object + +print(f'Invoking __init__.py for {__name__}') diff --git a/src/training/ml/data.py b/src/training/ml/data.py new file mode 100644 index 0000000000..659e5059df --- /dev/null +++ b/src/training/ml/data.py @@ -0,0 +1,386 @@ +#!/usr/bin/env -S python3 -i + +################### +# Imports +################### +import numpy as np +import pandas as pd +import logging + +from pathlib import Path +from sklearn.impute import SimpleImputer +from sklearn.pipeline import Pipeline +from sklearn.compose import ColumnTransformer +from sklearn.compose import make_column_selector as selector +from sklearn.preprocessing import ( + StandardScaler, + OneHotEncoder, + LabelBinarizer +) + +################### +# Coding +################### + +# get logging properties +# info see: https://realpython.com/python-logging-source-code/ +logger = logging.getLogger(__name__) + + +def load_data(path): + """ + Returns read-in csv data from path string param as dataframe, if available. + If not raises FileNotFoundError exception. + """ + assert isinstance(path, str), 'load_data() path param must be a string' + assert Path(path).exists(), f'dataset of given path does not exist: {path}' + logger.info('Census data path exists: %s', path) + try: + df = pd.read_csv(path) + logger.info('Census dataset: %s samples with %s features each', df.shape[0], df.shape[1]) + return df + except Exception as e: + logger.exception("Census data not loaded") + raise FileNotFoundError(path) from e + + +def get_x_data(df, label) -> pd.DataFrame: + """ + Returns the X dataframe without target label. + """ + logger.info("Extracting target label column from dataframe") + return df.drop(columns=[label]) + + +def get_y_target(df, label) -> pd.DataFrame: + """ + Returns the target column of the dataframe. + """ + logger.info("Returns dataframes target label column only") + return df[label] + + +def get_cat_features(df_X_data) -> pd.DataFrame: + """ + Returns categorical features list of dataframe not including target label. + """ + cat_cols_selector = selector(dtype_include=object) + cat_cols = cat_cols_selector(df_X_data) + logger.info("Get categorical features: %s", cat_cols) + + return cat_cols + + +def get_num_features(df_X_data) -> pd.DataFrame: + """ + Returns binary features list of dataframe not including target label. + """ + num_cols_selector = selector(dtype_exclude=object) + num_cols = num_cols_selector(df_X_data) + logger.info("Get numeric features: %s", num_cols) + + return num_cols + + +def get_bin_features(df_X_data) -> pd.DataFrame: + """ + Returns bineric, numerical features list of dataframe not including target label. + """ + bin_cols = [col for col, val in df_X_data.nunique().items() if val == 2] + logger.info("Get binary features with values like 0/1 or Yes/No or False/True: %s", bin_cols) + + return bin_cols + + +def get_column_transformer(cat_cols, num_cols, bin_cols, scaling=None) -> ColumnTransformer: + """ + Returns a column transformer for categorical, numerical and binary + features doing One-Hot-Encoding for cat ones, + standard scaling to numerical if scaling is True + and imputation to each at the beginning of the transformer pipeline. + This concept is used later on for the ML pipeline. + + Regarding the OHE: + Using a dummy variable encoding with drop set to 'first' and dtype 'int'. + Unknown values are handled with 'ignore'. Sparse is set to False. + """ + + # So, we do the simple imputation and scaling is set to True. + # In general, it is proposed to scale datasets num features. For cat, there is ohe. + + logger.info("Create column transformer for cat, num and bin preprocessing with %s", scaling) + + if scaling: + num_transformer = Pipeline(steps=[ + ('imp', SimpleImputer(missing_values=np.nan, strategy='median')), + ('scale', StandardScaler()), + ]) + else: + num_transformer = Pipeline(steps=[ + ('imp', SimpleImputer(missing_values=np.nan, strategy='median')), + ]) + + cat_transformer = Pipeline(steps=[ + ('imp', SimpleImputer(missing_values=np.nan, strategy='most_frequent')), + ('ohe', OneHotEncoder(dtype='int', drop='first', handle_unknown="ignore", sparse=False)), + ]) + + # transformer without scaling has to be at the end of the process, or parts will be scaled too + bin_transformer = Pipeline(steps=[ + ('imp', SimpleImputer(missing_values=np.nan, strategy='most_frequent')), + ]) + + # modification of the dataframe columns + preprocessor = ColumnTransformer( + transformers = [ + ('num_transf', num_transformer, num_cols), + ('cat_transf', cat_transformer, cat_cols), + ('bin_transf', bin_transformer, bin_cols), + ], + # remainder='passthrough', # unknown columns + n_jobs=-1 + ) + + return preprocessor + + +def map_country_to_continent(cntry, config_file) -> str: + ''' + Converts the given country name to an associated continent if available, + items being part of the non_converting_countries list are returned unchanged, + 'Other' is returned if no matching group has been found. + ''' + str_continent = 'Other' + if cntry in list(config_file['etl']['non_converting_countries']): + return cntry + if cntry in list(config_file['etl']['north_west_south_europe']): + return 'North_West_South_Europe' + if cntry in list(config_file['etl']['south_east_europe']): + return 'South_East_Europe' + if cntry in list(config_file['etl']['caribbean']): + return 'Caribbean' + if cntry in list(config_file['etl']['central_america']): + return 'Central_America' + if cntry in list(config_file['etl']['south_america']): + return 'South_America' + if cntry in list(config_file['etl']['south_east_asia']): + return 'South_East_Asia' + if cntry in list(config_file['etl']['australia']): + return 'Australia' + if cntry in list(config_file['etl']['south_middle_asia']): + return 'South_Middle_Asia' + if cntry in list(config_file['etl']['east_asia']): + return 'East_Asia' + # nothing found, so use 'Other' + return str_continent + + +def clean_data(df, config_file) -> pd.DataFrame: + """ + Returns partly preprocessed dataframe including target label + with general modifications as identified during EDA, + e.g. + column label and value changes regarding existing spaces + or wrong identified column values of specific features + or removing dupliate rows + or remove redundant 'education' column + or remove the 'fnlgt' feature (not having an added value) + or change target 'salary' column to binary values of + ' >50K': 1, ' <=50K': 0 + and other replacement actions are listed. + + Out-of-scope: + regarding the specific column value types, + imputation, ohe or scaling activities are handled with + model specific column transformers. + + Additionally done: + the 'native_country' feature changes of the EDA have been + implemented for training and inference; + the 'fnlgt' feature has been removed even its meaning is not + clear, because it seems to be a kind of index. + + Inputs + ------ + df : pd.DataFrame + Dataframe containing the features and target label from original dataset. + config_file : configuration yaml file content, can be None + + Returns + ------- + df : pd.DataFrame + Generally cleaned dataframe with binary, numerical target label. + """ + + # change column labels + columns = df.columns + df.columns = [col.strip().replace('-', '_') for col in columns] + + # replacement actions + df = df.replace(to_replace=[' ?', '?', '? ', ' ? '], value='Other') + df = df.replace(to_replace=['Others', 'others', 'other', 'Other values (5)'], value='Other') + df = df.applymap(lambda x: x.strip().replace(' ', '-') if isinstance(x, str) else x) + df['sex'] = df['sex'].map({'Male': 0, 'Female': 1}) + + # native_country modification, creation of new bins + if config_file: + df['mod_native_country'] = df['native_country'].map( + lambda cntry: map_country_to_continent(cntry=cntry, config_file=config_file)) + else: + df['mod_native_country'] = df['native_country'].copy() + + # change target column 'salary' (remember: spaces are stripped) if available in df + if 'salary' in df.columns: + df['salary'] = df['salary'].map({'>50K': 1, '<=50K': 0}) + + # remove original columns being modified or unnecessary, + # only available ones will be removed + df = df.drop(columns=['native_country', 'education', 'fnlgt'], errors='ignore') + + # remove duplicate rows + df = df.drop_duplicates(ignore_index=False) + + logger.info("Census dataframe is cleaned; sex and salary are binary numbers") + + return df + + +def process_data_udacity(X, categorical_features=[], label=None, training=True, encoder=None, lb=None): + """ Process the data used in the machine learning pipeline. + + Processes the data using one-hot-encoding for the categorical features and a + label binarizer for the labels. This can be used in either training or + inference/validation. + + Note: depending on the type of model used, you may want to add in functionality that + scales the continuous data. + This function coding from Udacity partly modified by script author. + + Inputs + ------ + X : pd.DataFrame + Dataframe containing the features and label. Data must be cleaned already! + categorical_features: list[str] + List containing the names of the categorical features (default=[]) + label : str + Name of the label column in `X`. If None, then an empty array will be returned + for y (default=None) + training : bool + Indicator if training mode or inference/validation mode. + encoder : sklearn.preprocessing._encoders.OneHotEncoder + Trained sklearn OneHotEncoder, only used if training=False. + lb : sklearn.preprocessing._label.LabelBinarizer + Trained sklearn LabelBinarizer, only used if training=False. + Note: The LabelBinarizer is the right choice for encoding string columns - + first it translates strings to integers, then it binarizes those integers to bit vectors. + + Returns + ------- + X : np.array + Processed data. + y : np.array + Processed labels if labeled=True, otherwise empty np.array. + encoder : sklearn.preprocessing._encoders.OneHotEncoder + Trained OneHotEncoder if training is True, otherwise returns the encoder passed in. + lb : sklearn.preprocessing._label.LabelBinarizer + Trained LabelBinarizer if training is True, otherwise returns the binarizer + passed in. + """ + logger.info("You called Udacity function: process_data()") + + if label is not None: + logger.info("Extracting label from data.") + logger.info("columns: %s", X.columns) + y = X[label] + X = X.drop([label], axis=1) + else: + y = np.array([]) + + X_categorical = X[categorical_features].values + X_continuous = X.drop(*[categorical_features], axis=1) + + if training: + logger.info("Training phase: process data.") + encoder = OneHotEncoder(sparse=False, handle_unknown="ignore") + lb = LabelBinarizer() + X_categorical = encoder.fit_transform(X_categorical) + y = lb.fit_transform(y.values).ravel() + else: + X_categorical = encoder.transform(X_categorical) + try: + y = lb.transform(y.values).ravel() + # Catch the case where y is None because we're doing inference. + except AttributeError: + logger.info("Census data: no y labels available, because doing inference") + + X = np.concatenate([X_continuous, X_categorical], axis=1) + logger.info("Data are processed ...") + + return X, y, encoder, lb + + +def process_data(df, label=None, scaling=True, config_file=None): + """ Process the data used for the machine learning classification pipeline. + Own modified coding for preprocessing compared to basic given one. + + Inputs + ------ + df : pd.DataFrame + General dataframe containing the features and target label. + label : None or string + Name of target label column in dataframe cleaned_df. + If None, then an empty array will be returned for y (default=None). + Regarding our business use case, for training 'salary' is used, + see config file configuration settings. + scaling : None or bool True if necessary + Indicator to know which kind of model condition is used for prediction. + For some model types scaling of continous features is necessary, for some not. + Therefore a different column transformer is used for cleaned dataset. + Note: + By now, only XGBClassifier is used, there scaling is necessary, + therefore as default it is set to True; + could be changed to None, if other appropriate estimators are used as well. + config_file : configuration yaml file content, can be None + + Returns + ------- + preproc : scikit-learn ColumnTransformer + Preprocessor of cleaned dataframe as input for classification pipeline. + X : np.array + Processed data. + y : np.array + Processed labels if label string is given, otherwise empty np.array. + """ + logger.info("--- You called script authors function: process_data()") + + # start with general cleaning of dataframe if config file is given + if config_file: + df = clean_data(df, config_file) + + # for supervised classification task: + # separation of target column y and data X + if label: # is not None + logger.info("Extracting target label from cleaned dataframe: %s", label) + logger.info("Dataframe columns: %s", df.columns) + y = get_y_target(df, label) + X = get_x_data(df, label) + else: + logger.info("Census data: no y target labels available, because doing inference") + X = df + y = np.array([]) + + # training / inference workflow depending on classification model type + # by now: only XGB classifier is implemented; + # depending on used classifier model we need ohe, scaling etc. or not + # future toDo: implement a more OO like style with behavioural strategy pattern + # for more than one classifier type + + cat_cols = get_cat_features(X) + num_cols = get_num_features(X) + bin_cols = get_bin_features(X) + + # create preprocessing transformer for ML pipeline + preproc = get_column_transformer(cat_cols, num_cols, bin_cols, scaling) + + logger.info("Return df preproc column transformer and X, y for classification pipeline.") + return preproc, X, y diff --git a/src/training/ml/model.py b/src/training/ml/model.py new file mode 100644 index 0000000000..862b5012a4 --- /dev/null +++ b/src/training/ml/model.py @@ -0,0 +1,236 @@ +#!/usr/bin/env -S python3 -i + +################### +# Imports +################### +import os +import logging + +from datetime import datetime +TODAY = datetime.today().strftime('%Y-%m-%d_%H-%M') + +from matplotlib import pyplot as plt +from sklearn.model_selection import GridSearchCV +from sklearn.metrics import ( + fbeta_score, + precision_score, + recall_score, + confusion_matrix, + classification_report, + RocCurveDisplay +) +from xgboost import XGBClassifier + +################### +# Coding +################### + +# get logging properties +# info see: https://realpython.com/python-logging-source-code/ +logger = logging.getLogger(__name__) + + +def plot_error_diagram(estimator, config, title, png_name): + ''' Stores classification error evaluation results diagram ''' + results = estimator.evals_result() + epochs = len(results["validation_0"]["error"]) + x_axis = range(0, epochs) + + fig, ax = plt.subplots(figsize=(10, 7)) + plt.title(title, fontsize=13, fontweight='bold') + ax.plot(x_axis, results["validation_0"]["error"], label="Training") + ax.plot(x_axis, results["validation_1"]["error"], label="Testing") + plt.axvline(estimator.best_ntree_limit, + color="gray", + label="Optimal tree number") + plt.xlabel("Tree Numbers") + plt.ylabel("Classification Error") + plt.legend() + plot_name = ''.join([TODAY, png_name]) + plt.savefig(os.path.join(os.getcwd(), config['eda']['plots_path'], str(plot_name)), + bbox_inches='tight') + + +def plot_logloss_diagram(estimator, config, title, png_name): + ''' Stores classification logloss evaluation results diagram ''' + results = estimator.evals_result() + epochs = len(results["validation_0"]["logloss"]) + x_axis = range(0, epochs) + + fig, ax = plt.subplots(figsize=(10, 7)) + plt.title(title, fontsize=13, fontweight='bold') + ax.plot(x_axis, results["validation_0"]["logloss"], label="Training") + ax.plot(x_axis, results["validation_1"]["logloss"], label="Testing") + plt.axvline(estimator.best_ntree_limit, + color="gray", + label="Optimal tree number") + plt.xlabel("Tree Numbers") + plt.ylabel("Loss") + plt.legend() + plot_name = ''.join([TODAY, png_name]) + plt.savefig(os.path.join(os.getcwd(), config['eda']['plots_path'], str(plot_name)), + bbox_inches='tight') + + +def plot_roc_curve_diagram(estimator, X_train, y_train, X_test, y_test, config, title, png_name): + ''' Stores plotted ROC curve diagram in plots directory ''' + fig, ax = plt.subplots(figsize=(10, 7)) + plt.title(title, fontsize=13, fontweight='bold') + RocCurveDisplay.from_estimator(estimator, + X_train, y_train, ax=ax, label='Training') + RocCurveDisplay.from_estimator(estimator, + X_test, y_test, ax=ax) # , label='Testing') + plt.legend() + plot_name = ''.join([TODAY, png_name]) + plt.savefig(os.path.join(os.getcwd(), config['eda']['plots_path'], str(plot_name)), + bbox_inches='tight') + + +def train_model(model, X_train, y_train, X_test, y_test, param_grid=None, config=None, test_run=None): + """ + Returns a trained machine learning model with or without hyperparameter tuning + from GridSearchCV(). + Creates the evaluation set from given parameters: [(X_train, y_train), (X_test, y_test)] + used for early stopping. + + Inputs + ------ + model: + machine learning model we have to train during training process, + expected is XGBoost classifier + X_train : pd.dataframe + Training data features. + y_train : pd.dataframe + Training target labels. + X_test : pd.dataframe + Testing data features. + y_test : pd.dataframe + Testing target labels. + param_grid : dictionary from config.py + Hyperparameters for CrossValidation + config: dictionary + To get model configuration settings + test_run: Boolean or None + By default None, for application usage, + is set to True for test suite run + + Returns + ------- + model : scikit-learn model or pipeline + Trained machine learning model. + """ + + # Future toDo: + # - behavioral strategy pattern for different classifiers + + try: + assert isinstance(model, (XGBClassifier)) + except AssertionError as error: + logging.error("Model should be XGBClassifier %s", error) + + if param_grid: # cross validation process + if config: + n_jobs = config['model']['n_jobs'] + cv = config['model']['cv'] + verbose = config['model']['verbose'] + else: + n_jobs = -1 + cv = 5 + verbose = 1 + + grid_cv = GridSearchCV(estimator=model, + param_grid=param_grid, + n_jobs=n_jobs, + cv=cv, + verbose=verbose) + + # usage of early stopping + grid_result = grid_cv.fit( + X_train, y_train, + eval_set=[(X_train, y_train), (X_test, y_test)]) + + best_estimator = grid_cv.best_estimator_ + + if test_run: + return best_estimator + + # Print the best score and corresponding hyperparameters + print('---- Prediction Result: GridSearchCV - XGBClassifier ---') + print(f'Best score is {grid_result.best_score_:.4f}') + print(f'Best hyperparameters are {grid_result.best_params_}') + print(f'Optimal number of trees is {best_estimator.best_ntree_limit}') + print(f'Best cv estimator: {best_estimator}') + print('----') + logger.info('---- Prediction Result: GridSearchCV - XGBClassifier ---') + logger.info('Best score is %s', grid_result.best_score_) + logger.info('Best hyperparameters are %s', grid_result.best_params_) + logger.info('Optimal number of trees is %s', best_estimator.best_ntree_limit) + logger.info('Best cv estimator: %s', best_estimator) + logger.info('----') + + return best_estimator + else: # single model process + # usage of early stopping + model = model.fit( + X_train, y_train, + eval_set=[(X_train, y_train), (X_test, y_test)]) + + if test_run: + return model + + print('---- Prediction Result: Single basic - XGBClassifier model ---') + print(model) + print(f'Optimal number of trees is {model.best_ntree_limit}') + logger.info('---- Prediction Result: Single basic - XGBClassifier model ---') + logger.info(model) + logger.info('Optimal number of trees is %s', model.best_ntree_limit) + logger.info('----') + + return model + + +def compute_model_metrics(y, preds): + """ + Validates the trained machine learning model using precision, recall, F1, + confusion matrix and whole classification report. + + Inputs + ------ + y : np.array + Known labels, binarized. (refers to y_test) + preds : np.array + Predicted labels, binarized. (refers to y_preds) + + Returns + ------- + precision : float + recall : float + fbeta : float + cm : array (confusion matrix) + cls_report: whole classification report as dictionary + """ + fbeta = fbeta_score(y, preds, beta=1, zero_division=1) + precision = precision_score(y, preds, zero_division=1) + recall = recall_score(y, preds, zero_division=1) + cm = confusion_matrix(y, preds) + cls_report = classification_report(y, preds, output_dict=True) + + return precision, recall, fbeta, cm, cls_report + + +def inference(model, X): + """ Run model inferences and return the predictions. + + Inputs + ------ + model : scikit-learn classification model or pipeline + Trained machine learning model. + X : pd.DataFrame + Test data used for prediction. + + Returns + ------- + preds : np.array + Predictions from the model. + """ + return model.predict(X) diff --git a/src/training/train_model.py b/src/training/train_model.py new file mode 100644 index 0000000000..a492552689 --- /dev/null +++ b/src/training/train_model.py @@ -0,0 +1,293 @@ +#!/usr/bin/env -S python3 -i + +""" +Script to train machine learning model for binary classification. +author: I. Brinkmeier +date: 2023-09 +""" + +##################### +# Imports +##################### + +import os +import sys +MAIN_DIR = os.path.join(os.getcwd(), 'src/') +sys.path.append(MAIN_DIR) +sys.path.append(os.getcwd()) +print(f'-> train_model: sys.path: {sys.path}') + +import logging +import logging.config +import joblib +import xgboost as xgb + +from datetime import datetime +TODAY = datetime.today().strftime('%Y-%m-%d_%H-%M') + +from sklearn.model_selection import train_test_split +from sklearn.impute import SimpleImputer + +from config import get_config, get_data_path, get_models_path +from ml.data import load_data, process_data +from ml.model import ( + train_model, + inference, + compute_model_metrics, + plot_logloss_diagram, + plot_error_diagram, + plot_roc_curve_diagram +) + + +##################### +# Coding +##################### + +def go(): + ''' Checks the training workflow for census data with configuration parameters. + + Note: + If as starting point no data could be read in, system exit happens. + + By now, XGBoost binary classifier is used with and without GridSearchCV. + Regarding Hyperparameter: + Out-of-scope is usage of Hyperopt, which is a Python library for optimizing both + discrete and continuous hyperparameters for XGBoost instances. + Hyperopt uses Bayesian optimization to tune hyperparameters, so, it would return + a better prediction because it is not limited to the explicit given values of a + parameter grid as defined for GridSearchCV. + + Regarding Logging: + For training 'staging' logger is used. + ''' + + # load in the configuration file + config_file = get_config() + + # get logging properties + # info see: https://realpython.com/python-logging-source-code/ + logging.config.dictConfig(config_file['logging']) + logging.getLogger('matplotlib.font_manager').disabled = True + logger = logging.getLogger('staging') + + # load in the data + data = os.path.join(get_data_path(), config_file['etl']['orig_census']) + logger.info("Load data from path: %s", data) + try: + df_data = load_data(data) + logger.info("Census dataset: %s samples with %s features each, columns are: %s", + df_data.shape[0], df_data.shape[1], df_data.columns) + logger.info('df_data head() of first 5 rows:\n %s', df_data.head()) + except Exception as e: + logger.exception("Exit: exception of type %s occurred. Details: %s", type(e).__name__, str(e)) + sys.exit(1) + + # apply preprocessing, + # for selected classifiers (like RandomForestClassifier, XGBoostClassifier) scaling is needed, + # for stratification we need the target label column + logger.info('Process data with preprocessing and drop target feature "salary"') + processor, X, y = process_data(df_data, + label='salary', + scaling=True, + config_file=config_file) + + X_processed = processor.fit_transform(X) + y_processed = SimpleImputer(strategy="most_frequent").fit_transform( + y.values.reshape(-1, 1) + ) + + # save ColumnTransformer processor in model dir + logger.info("Save ColumnTransformer as final pickle file in models dir") + col_transformer_artifact_label = config_file['model']['col_transformer'] + filename = os.path.join(get_models_path(), col_transformer_artifact_label) + with open(filename, 'wb') as f: + joblib.dump(processor, f) + + # train test split + # make sure splits contain same amount of categories in both sets via stratify param + logger.info('Create train-test split with processed y target for stratifying') + X_train, X_test, y_train, y_test = train_test_split( + X_processed, y_processed, + stratify=y_processed, + test_size=config_file['model']['test_size'], + random_state=config_file['model']['random_seed'] + ) + + # XGBoost Classifier + # https://towardsdatascience.com/beginners-guide-to-xgboost-for-classification-problems-50f75aac5390 + # note: “binary:logistic” – logistic regression for binary classification, output probability + logger.info('--- Start binary classification workflow for XGBClassifier ... ---') + + # first workflow: + # single prediction with default classifier hyperparameters + xgb_cls = train_model( + xgb.XGBClassifier( + objective=config_file['model']['xgb_cls']['objective'], + n_estimators=config_file['model']['xgb_cls']['n_estimators'], + eval_metric=config_file['model']['xgb_cls']['eval_metric'], + random_state=config_file['model']['random_seed'], + early_stopping_rounds=config_file['model']['early_stopping_rounds'], + ), + X_train, y_train, X_test, y_test, + param_grid=None, + config=config_file, test_run=None) + logger.info("Single XGBClassifier model training params:\n %s", xgb_cls) + + # plot and store evaluation results diagram + # plot logloss diagramm + title = 'Single XGB Classifier: Resulting Loss Diagram' + # plot function adds date as first part of png name + png_name = '_xgb-single_logloss_treeNo_diagram.png' + plot_logloss_diagram(xgb_cls, config_file, title, png_name) + + # plot classification error + title = 'Single XGB Classifier: Resulting Classification Error Diagram' + png_name = '_xgb-single_class_error_diagram.png' + plot_error_diagram(xgb_cls, config_file, title, png_name) + + # plot ROC curve diagram + # https://www.turing.com/kb/auc-roc-curves-and-their-usage-for-classification-in-python + title = 'Single XGB Classifier: Resulting ROC Curve Diagram' + png_name = '_xgb-single_roc-curve_diagram.png' + plot_roc_curve_diagram(xgb_cls, + X_train, y_train, + X_test, y_test, + config_file, title, png_name) + + # prediction with created test data from split and get metrics on it + y_preds = inference(xgb_cls, X_test) + precision, recall, fbeta, cm, cls_report = compute_model_metrics(y_test, y_preds) + print('Validation:') + print(f'precision : {precision}') + print(f'recall : {recall}') + print(f'fbeta : {fbeta}') + logger.info("--- Validation metrics of Single XGBClassifier: ---") + logger.info("Precision: %s, Recall: %s, Fbeta: %s", precision, recall, fbeta) + print('Confusion Matrix') + print(cm) + print() + print('Classification Report') + print(cls_report) + print('---------') + logger.info('- Confusion Matrix -') + logger.info(cm) + logger.info('- Classification Report -') + logger.info(cls_report) + logger.info("----------") + + # save basic XGBoost model in model dir + logger.info("Save single, basic XGBClassifier as pickle file in models dir") + artifact_label = ''.join([TODAY, '_', config_file['model']['xgb_cls']['output_artifact']]) + filename = os.path.join(get_models_path(), artifact_label) + with open(filename, 'wb') as f: + joblib.dump(xgb_cls, f) + + # second workflow: + # usage of GridSearchCV (cross validataion approach), + # read in param grid from config file + # according to xgb doc, for early stopping having a list of eval metrics, + # only the last one is used; therefore default 'logloss' is used hard coded + param_grid = { + 'objective': config_file['model']['xgb_cls_cv']['objective'], + 'max_depth': config_file['model']['xgb_cls_cv']['max_depth'], + 'learning_rate': config_file['model']['xgb_cls_cv']['learning_rate'], + 'gamma': config_file['model']['xgb_cls_cv']['gamma'], + 'colsample_bytree': config_file['model']['xgb_cls_cv']['colsample_bytree'], + # regarding regularisation ... + 'reg_alpha': config_file['model']['xgb_cls_cv']['reg_alpha'], + 'reg_lambda': config_file['model']['xgb_cls_cv']['reg_lambda'], + } + best_xgb_cls_cv = train_model( + xgb.XGBClassifier( + early_stopping_rounds=config_file['model']['early_stopping_rounds'], + random_state=config_file['model']['random_seed']), + X_train, y_train, X_test, y_test, + param_grid=param_grid, + config=config_file, + test_run=None) + logger.info("Best CV XGBClassifier model training params:\n %s", best_xgb_cls_cv.get_params()) + + # retrain with best estimator params (call fit()), + # without test data split; but such data is necessary for early stopping + # https://scikit-learn.org/stable/modules/cross_validation.html + # https://towardsdatascience.com/how-to-do-cross-validation-effectively-1bbeb1d69ee8 + # https://stats.stackexchange.com/questions/586298/is-it-required-to-train-the-model-in-entire-data-after-cross-validation + params = best_xgb_cls_cv.get_params() + params['eval_metric'] = ['logloss'] + print('---') + print(f'params dict of best cv xgb estimator with logloss eval_metric:\n{params}') + print('---') + + best_xgb_cls = xgb.XGBClassifier(**params) + best_xgb_cls.fit( + X_train, y_train, + eval_set=[(X_train, y_train), (X_test, y_test)], + verbose=1 + ) + logger.info("Retrained best CV XGBClassifier model fit params:\n %s", best_xgb_cls) + + # plot and store evaluation results diagram of retrained best xgb cv model + # plot logloss diagramm + title = 'Best Retrained XGB CV Classifier: Resulting Loss Diagram' + png_name = '_best_retrained_xgb-cv_logloss_treeNo_diagram.png' + plot_logloss_diagram(best_xgb_cls, config_file, title, png_name) + + # plot classification error + # Note: different eval metrics interfere with early stopping mechanism ... + # title = 'Best XGB CV Classifier: Resulting Classification Error Diagram' + # png_name = '_best_xgb-cv_class_error_diagram.png' + # plot_error_diagram(best_xgb_cls, config_file, title, png_name) + + # plot ROC curve diagram + title = 'Best Retrained XGB CV Classifier: Resulting ROC Curve Diagram' + png_name = '_best_retrained_xgb-cv_roc-curve_diagram.png' + plot_roc_curve_diagram(best_xgb_cls, + X_train, y_train, + X_test, y_test, + config_file, title, png_name) + + # prediction with test data; + # regarding early stopping and getting optimal tree number, note: + # with Scikit-Learn API of Xgboost param best_ntree_limit will be used directly + y_preds_cv = inference(best_xgb_cls, X_test) + + # evaluation with test data and predictions + precision, recall, fbeta, cm, cls_report = compute_model_metrics(y_test, y_preds_cv) + print('Validation:') + print(f'precision : {precision}') + print(f'recall : {recall}') + print(f'fbeta : {fbeta}') + print('Confusion Matrix') + print(cm) + print() + print('Classification Report') + print(cls_report) + print('---------') + logger.info("--- Validation metrics of Best CV XGBClassifier: ---") + logger.info("Precision: %s, Recall: %s, Fbeta: %s", precision, recall, fbeta) + logger.info('- Confusion Matrix -') + logger.info(cm) + logger.info('- Classification Report -') + logger.info(cls_report) + logger.info("----------") + + # save XGBoost cv model in model dir, + # Note: during different runs: grid model has always been best compared to + # single estimator without cv, therefore no check is implemented + logger.info('Save retrained cross validation best XGBClassifier as final pickle file in models dir') + best_xgb_label = ''.join([TODAY, '_', config_file['model']['xgb_cls_cv']['output_artifact']]) + filename = os.path.join(get_models_path(), best_xgb_label) + with open(filename, 'wb') as f: + joblib.dump(best_xgb_cls, f) + + # in general: having different model types check which one is the best would happen; + # now we have only one, so, by now it is the same ... only with artifact label change + artifact_label = config_file['model']['final_xgb_artifact'] + filename = os.path.join(get_models_path(), artifact_label) + with open(filename, 'wb') as f: + joblib.dump(best_xgb_cls, f) + + +if __name__ == "__main__": + go() diff --git a/starter/README.md b/starter/README.md deleted file mode 100644 index ca25260404..0000000000 --- a/starter/README.md +++ /dev/null @@ -1,75 +0,0 @@ -Working in a command line environment is recommended for ease of use with git and dvc. If on Windows, WSL1 or 2 is recommended. - -# Environment Set up -* Download and install conda if you don’t have it already. - * Use the supplied requirements file to create a new environment, or - * conda create -n [envname] "python=3.8" scikit-learn dvc pandas numpy pytest jupyter jupyterlab fastapi uvicorn -c conda-forge - * Install git either through conda (“conda install git”) or through your CLI, e.g. sudo apt-get git. - -## Repositories - -* Create a directory for the project and initialize Git and DVC. - * As you work on the code, continually commit changes. Trained models you want to keep must be committed to DVC. -* Connect your local Git repository to GitHub. - -## Set up S3 - -* In your CLI environment install the AWS CLI tool. -* In the navigation bar in the Udacity classroom select **Open AWS Gateway** and then click **Open AWS Console**. You will not need the AWS Access Key ID or Secret Access Key provided here. -* From the Services drop down select S3 and then click Create bucket. -* Give your bucket a name, the rest of the options can remain at their default. - -To use your new S3 bucket from the AWS CLI you will need to create an IAM user with the appropriate permissions. The full instructions can be found here, what follows is a paraphrasing: - -* Sign in to the IAM console here or from the Services drop down on the upper navigation bar. -* In the left navigation bar select **Users**, then choose **Add user**. -* Give the user a name and select **Programmatic access**. -* In the permissions selector, search for S3 and give it **AmazonS3FullAccess** -* Tags are optional and can be skipped. -* After reviewing your choices, click create user. -* Configure your AWS CLI to use the Access key ID and Secret Access key. - -## GitHub Actions - -* Setup GitHub Actions on your repository. You can use one of the pre-made GitHub Actions if at a minimum it runs pytest and flake8 on push and requires both to pass without error. - * Make sure you set up the GitHub Action to have the same version of Python as you used in development. -* Add your AWS credentials to the Action. -* Set up DVC in the action and specify a command to `dvc pull`. - -## Data - -* Download census.csv from the data folder in the starter repository. - * Information on the dataset can be found here. -* Create a remote DVC remote pointing to your S3 bucket and commit the data. -* This data is messy, try to open it in pandas and see what you get. -* To clean it, use your favorite text editor to remove all spaces. -* Commit this modified data to DVC under a new name (we often want to keep the raw data untouched but then can keep updating the cooked version). - -## Model - -* Using the starter code, write a machine learning model that trains on the clean data and saves the model. Complete any function that has been started. -* Write unit tests for at least 3 functions in the model code. -* Write a function that outputs the performance of the model on slices of the data. - * Suggestion: for simplicity, the function can just output the performance on slices of just the categorical features. -* Write a model card using the provided template. - -## API Creation - -* Create a RESTful API using FastAPI this must implement: - * GET on the root giving a welcome message. - * POST that does model inference. - * Type hinting must be used. - * Use a Pydantic model to ingest the body from POST. This model should contain an example. - * Hint: the data has names with hyphens and Python does not allow those as variable names. Do not modify the column names in the csv and instead use the functionality of FastAPI/Pydantic/etc to deal with this. -* Write 3 unit tests to test the API (one for the GET and two for POST, one that tests each prediction). - -## API Deployment - -* Create a free Heroku account (for the next steps you can either use the web GUI or download the Heroku CLI). -* Create a new app and have it deployed from your GitHub repository. - * Enable automatic deployments that only deploy if your continuous integration passes. - * Hint: think about how paths will differ in your local environment vs. on Heroku. - * Hint: development in Python is fast! But how fast you can iterate slows down if you rely on your CI/CD to fail before fixing an issue. I like to run flake8 locally before I commit changes. -* Set up DVC on Heroku using the instructions contained in the starter directory. -* Set up access to AWS on Heroku, if using the CLI: `heroku config:set AWS_ACCESS_KEY_ID=xxx AWS_SECRET_ACCESS_KEY=yyy` -* Write a script that uses the requests module to do one POST on your live API. diff --git a/starter/data/census.csv b/starter/data/census.csv deleted file mode 100644 index 9f05fcfa5d..0000000000 --- a/starter/data/census.csv +++ /dev/null @@ -1,32563 +0,0 @@ -age, workclass, fnlgt, education, education-num, marital-status, occupation, relationship, race, sex, capital-gain, capital-loss, hours-per-week, native-country, salary -39, State-gov, 77516, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 83311, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 13, United-States, <=50K -38, Private, 215646, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 234721, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 338409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, Cuba, <=50K -37, Private, 284582, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 160187, 9th, 5, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 16, Jamaica, <=50K -52, Self-emp-not-inc, 209642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Private, 45781, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K -42, Private, 159449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -37, Private, 280464, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 80, United-States, >50K -30, State-gov, 141297, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -23, Private, 122272, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -32, Private, 205019, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -40, Private, 121772, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K -34, Private, 245487, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, Mexico, <=50K -25, Self-emp-not-inc, 176756, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K -32, Private, 186824, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 28887, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Self-emp-not-inc, 292175, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, >50K -40, Private, 193524, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -54, Private, 302146, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -35, Federal-gov, 76845, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 117037, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2042, 40, United-States, <=50K -59, Private, 109015, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Local-gov, 216851, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 168294, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, ?, 180211, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, >50K -39, Private, 367260, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -49, Private, 193366, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Local-gov, 190709, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -20, Private, 266015, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 44, United-States, <=50K -45, Private, 386940, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Male, 0, 1408, 40, United-States, <=50K -30, Federal-gov, 59951, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, State-gov, 311512, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 15, United-States, <=50K -48, Private, 242406, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K -21, Private, 197200, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 544091, HS-grad, 9, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, <=50K -31, Private, 84154, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, ?, >50K -48, Self-emp-not-inc, 265477, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 507875, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K -53, Self-emp-not-inc, 88506, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 172987, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 94638, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 289980, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -57, Federal-gov, 337895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -53, Private, 144361, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K -44, Private, 128354, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, State-gov, 101603, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 271466, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -25, Private, 32275, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Other, Female, 0, 0, 40, United-States, <=50K -18, Private, 226956, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, ?, <=50K -47, Private, 51835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 60, Honduras, >50K -50, Federal-gov, 251585, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -47, Self-emp-inc, 109832, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -43, Private, 237993, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 216666, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -35, Private, 56352, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -41, Private, 147372, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K -30, Private, 188146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K -30, Private, 59496, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2407, 0, 40, United-States, <=50K -32, ?, 293936, 7th-8th, 4, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -48, Private, 149640, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 116632, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 105598, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 58, United-States, <=50K -36, Private, 155537, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 183175, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 169846, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -49, Self-emp-inc, 191681, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, ?, 200681, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 101509, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 32, United-States, <=50K -31, Private, 309974, Bachelors, 13, Separated, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 162298, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -23, Private, 211678, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -79, Private, 124744, Some-college, 10, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 213921, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -40, Private, 32214, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 212759, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K -18, Private, 309634, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 22, United-States, <=50K -31, Local-gov, 125927, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 446839, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -52, Private, 276515, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Cuba, <=50K -46, Private, 51618, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 159937, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -44, Private, 343591, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K -53, Private, 346253, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -49, Local-gov, 268234, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 202051, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 54334, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Federal-gov, 410867, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -57, Private, 249977, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 286730, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 212563, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -30, Private, 117747, HS-grad, 9, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 1573, 35, ?, <=50K -34, Local-gov, 226296, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Local-gov, 115585, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -48, Self-emp-not-inc, 191277, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K -37, Private, 202683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -48, Private, 171095, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, England, <=50K -32, Federal-gov, 249409, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -76, Private, 124191, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 198282, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -47, Self-emp-not-inc, 149116, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -20, Private, 188300, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 103432, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 317660, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -17, ?, 304873, 10th, 6, Never-married, ?, Own-child, White, Female, 34095, 0, 32, United-States, <=50K -30, Private, 194901, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 189265, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 124692, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 432376, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 65324, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Self-emp-not-inc, 335605, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1887, 50, Canada, >50K -28, Private, 377869, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 4064, 0, 25, United-States, <=50K -36, Private, 102864, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 95647, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Self-emp-inc, 303090, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, Local-gov, 197371, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -55, Private, 247552, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 56, United-States, <=50K -22, Private, 102632, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K -21, Private, 199915, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 118853, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 77143, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, Germany, <=50K -29, State-gov, 267989, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 301606, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -47, Private, 287828, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -20, Private, 111697, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1719, 28, United-States, <=50K -31, Private, 114937, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -35, ?, 129305, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 365739, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 69621, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -24, Private, 43323, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1762, 40, United-States, <=50K -38, Self-emp-not-inc, 120985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 35, United-States, <=50K -37, Private, 254202, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 146195, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K -38, Federal-gov, 125933, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K -43, Self-emp-not-inc, 56920, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 163127, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 34310, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, Private, 81973, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -61, Self-emp-inc, 66614, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 232782, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 316868, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Mexico, <=50K -45, Private, 196584, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 40, United-States, >50K -70, Private, 105376, Some-college, 10, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 185814, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -22, Private, 175374, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 24, United-States, <=50K -36, Private, 108293, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -64, Private, 181232, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2179, 40, United-States, <=50K -43, ?, 174662, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Local-gov, 186009, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Mexico, <=50K -34, Private, 198183, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 163003, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -21, Private, 296158, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -52, ?, 252903, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -48, Private, 187715, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K -23, Private, 214542, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -71, Self-emp-not-inc, 494223, Some-college, 10, Separated, Sales, Unmarried, Black, Male, 0, 1816, 2, United-States, <=50K -29, Private, 191535, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 228456, Bachelors, 13, Separated, Other-service, Other-relative, Black, Male, 0, 0, 50, United-States, <=50K -68, ?, 38317, 1st-4th, 2, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 252752, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 78374, Masters, 14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -28, Private, 88419, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, England, <=50K -45, Self-emp-not-inc, 201080, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 207157, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -39, Federal-gov, 235485, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -46, State-gov, 102628, Masters, 14, Widowed, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 25828, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -66, Local-gov, 54826, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -27, Private, 124953, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K -28, State-gov, 175325, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 96062, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K -27, Private, 428030, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -28, State-gov, 149624, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 253814, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 312956, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 483777, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 183930, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -33, Private, 37274, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K -44, Local-gov, 181344, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 38, United-States, >50K -43, Private, 114580, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 633742, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -40, Private, 286370, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, >50K -37, Federal-gov, 29054, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K -34, Private, 304030, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 143129, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, ?, 135105, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 99928, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K -58, State-gov, 109567, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 1, United-States, >50K -38, Private, 155222, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 28, United-States, <=50K -24, Private, 159567, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 523910, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 120939, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Federal-gov, 130760, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 24, United-States, <=50K -23, Private, 197387, 5th-6th, 3, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -36, Private, 99374, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 56795, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 55, United-States, >50K -35, Private, 138992, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 7298, 0, 40, United-States, >50K -24, Self-emp-not-inc, 32921, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 397317, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K -19, ?, 170653, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Italy, <=50K -51, Private, 259323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Local-gov, 254817, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1340, 40, United-States, <=50K -37, State-gov, 48211, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -18, Private, 140164, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 128757, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 7298, 0, 36, United-States, >50K -35, Private, 36270, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -58, Self-emp-inc, 210563, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 35, United-States, >50K -17, Private, 65368, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K -44, Local-gov, 160943, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 208358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 153790, Some-college, 10, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -60, Private, 85815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-inc, 125417, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 635913, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K -50, Private, 313321, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 182609, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Poland, <=50K -45, Private, 109434, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -25, Private, 255004, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 197860, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, ?, 187656, 1st-4th, 2, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 51744, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 2206, 40, United-States, <=50K -54, Private, 176681, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 20, United-States, <=50K -53, Local-gov, 140359, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -18, Private, 243313, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 24215, 10th, 6, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 10, United-States, <=50K -66, Self-emp-not-inc, 167687, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1409, 0, 50, United-States, <=50K -75, Private, 314209, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, Columbia, <=50K -65, Private, 176796, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 538583, 11th, 7, Separated, Transport-moving, Not-in-family, Black, Male, 3674, 0, 40, United-States, <=50K -41, Private, 130408, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -25, Private, 159732, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -33, Private, 110978, Some-college, 10, Divorced, Craft-repair, Other-relative, Other, Female, 0, 0, 40, United-States, <=50K -28, Private, 76714, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -59, State-gov, 268700, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, State-gov, 170525, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -41, Private, 180138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Iran, >50K -38, Local-gov, 115076, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -23, Private, 115458, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 347890, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 196001, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, <=50K -24, State-gov, 273905, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, ?, 119156, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -38, Private, 179488, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -56, Private, 203580, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, ?, <=50K -58, Private, 236596, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -32, Private, 183916, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -40, Private, 207578, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 60, United-States, >50K -45, Private, 153141, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K -41, Private, 112763, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Private, 390781, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -59, Local-gov, 171328, 10th, 6, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -19, Local-gov, 27382, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 259014, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -42, Self-emp-not-inc, 303044, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K -20, Private, 117789, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 172579, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -45, Private, 187666, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -50, Private, 204518, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 150042, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 98092, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -17, Private, 245918, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -59, Private, 146013, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K -26, Private, 378322, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 257295, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 75, Thailand, >50K -19, ?, 218956, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, Canada, <=50K -64, Private, 21174, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 185480, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -33, Private, 222205, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K -61, Private, 69867, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 191260, 9th, 5, Never-married, Other-service, Own-child, White, Male, 1055, 0, 24, United-States, <=50K -50, Self-emp-not-inc, 30653, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2407, 0, 98, United-States, <=50K -27, Local-gov, 209109, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K -30, Private, 70377, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 477983, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -44, Private, 170924, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -35, Private, 190174, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 193787, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 279472, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 7298, 0, 48, United-States, >50K -22, Private, 34918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, Germany, <=50K -42, Local-gov, 97688, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -34, Private, 175413, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -60, Private, 173960, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -21, Private, 205759, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Federal-gov, 425161, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -41, Private, 220531, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -50, Private, 176609, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 371987, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 193884, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Ecuador, <=50K -36, Private, 200352, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 127595, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Local-gov, 220419, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -21, Private, 231931, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 248402, Bachelors, 13, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -65, Private, 111095, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K -37, Self-emp-inc, 57424, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -39, ?, 157443, Masters, 14, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 3464, 0, 40, ?, <=50K -24, Private, 278130, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 169469, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -48, Private, 146268, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K -21, Private, 153718, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K -31, Private, 217460, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -55, Private, 238638, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 40, United-States, >50K -24, Private, 303296, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K -43, Private, 173321, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 193945, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 83082, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -35, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-inc, 34987, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, United-States, >50K -26, Private, 59306, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 142897, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7298, 0, 35, Taiwan, >50K -19, ?, 860348, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -36, Self-emp-not-inc, 205607, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K -22, Private, 199698, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -24, Private, 191954, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -77, Self-emp-not-inc, 138714, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 399087, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -29, Private, 423158, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 159841, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -39, Self-emp-not-inc, 174308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 50356, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, <=50K -35, Private, 186110, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 200381, 11th, 7, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -76, Self-emp-not-inc, 174309, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K -63, Self-emp-not-inc, 78383, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, ?, 211601, Assoc-voc, 11, Never-married, ?, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -43, Private, 187728, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 50, United-States, >50K -58, Self-emp-not-inc, 321171, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 127921, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 2050, 0, 55, United-States, <=50K -41, Private, 206565, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -26, Private, 224563, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 178686, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Local-gov, 98545, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 242606, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 270942, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K -30, Private, 94235, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 71195, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 104112, HS-grad, 9, Never-married, Sales, Unmarried, Black, Male, 0, 0, 30, Haiti, <=50K -45, Private, 261192, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 94936, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 296478, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -36, State-gov, 119272, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K -33, Private, 85043, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -22, State-gov, 293364, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 241895, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -67, ?, 36135, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -30, ?, 151989, Assoc-voc, 11, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 101128, Assoc-acdm, 12, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 25, Iran, <=50K -31, Private, 156464, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K -33, Private, 117963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 192262, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 111363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Local-gov, 329752, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -59, ?, 372020, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Federal-gov, 95432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Private, 161400, 11th, 7, Widowed, Other-service, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K -40, Private, 96129, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 111949, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -26, Self-emp-not-inc, 117125, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K -36, Private, 348022, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K -62, Private, 270092, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 180609, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -43, Private, 174575, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1564, 45, United-States, >50K -22, Private, 410439, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -28, Private, 92262, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 183081, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 362589, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -57, Private, 212448, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -39, Private, 481060, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Federal-gov, 185885, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -17, Private, 89821, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -40, State-gov, 184018, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, >50K -45, Private, 256649, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -44, Private, 160323, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, Local-gov, 350845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -33, Private, 267404, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 35633, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 80914, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 172927, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -54, Private, 174319, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 214955, 5th-6th, 3, Divorced, Craft-repair, Not-in-family, White, Female, 0, 2339, 45, United-States, <=50K -25, Private, 344991, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 108699, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Local-gov, 117312, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 396099, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -29, Private, 134152, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 162028, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2415, 6, United-States, >50K -19, Private, 25429, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -19, Private, 232392, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 220098, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -27, Private, 301302, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -46, Self-emp-not-inc, 277946, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, State-gov, 98101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, ?, >50K -34, Private, 196164, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -44, Private, 115562, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 96975, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 137300, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 86872, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -52, Self-emp-inc, 132178, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 416103, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 108574, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, State-gov, 288353, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 227689, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K -28, Private, 166481, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 2179, 40, Puerto-Rico, <=50K -41, Private, 445382, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 65, United-States, >50K -28, Private, 110145, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 317253, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -28, ?, 123147, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 1887, 40, United-States, >50K -32, Private, 364657, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Local-gov, 42346, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K -24, Private, 241951, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 118500, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 188386, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -31, State-gov, 1033222, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 92440, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -52, Private, 190762, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 426017, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K -34, Local-gov, 243867, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -34, State-gov, 240283, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 61777, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -17, Private, 175024, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 2176, 0, 18, United-States, <=50K -32, State-gov, 92003, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -29, Private, 188401, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 228528, 10th, 6, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 133373, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, Federal-gov, 255191, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -23, Private, 204653, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 72, Dominican-Republic, <=50K -63, Self-emp-inc, 222289, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Local-gov, 287480, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -80, ?, 107762, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -17, ?, 202521, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 204116, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K -30, Private, 29662, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, >50K -27, Private, 116358, Some-college, 10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 1980, 40, Philippines, <=50K -33, Private, 208405, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Local-gov, 284843, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Male, 594, 0, 60, United-States, <=50K -34, Local-gov, 117018, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 81281, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 340148, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 363425, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 45857, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -24, Federal-gov, 191073, HS-grad, 9, Never-married, Armed-Forces, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 116632, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 405855, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -20, Private, 298227, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 290521, HS-grad, 9, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -51, Private, 56915, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -20, Private, 146538, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, ?, 258872, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K -19, Private, 206399, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 197332, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -60, Private, 245062, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 197583, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, >50K -44, Self-emp-not-inc, 234885, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -40, Private, 72887, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -30, Private, 180374, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 351299, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K -23, Private, 54012, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, ?, 115745, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 116632, Assoc-acdm, 12, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Local-gov, 288825, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 132601, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 193374, 1st-4th, 2, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 170070, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 126708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K -52, Private, 35598, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 33983, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 192776, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -30, Private, 118551, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 16, United-States, >50K -60, Private, 201965, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K -22, ?, 139883, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 285020, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 303990, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -67, Private, 49401, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -46, Private, 279196, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 211870, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K -22, Private, 281432, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 161155, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 197904, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 111746, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Portugal, <=50K -43, Self-emp-not-inc, 170721, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -28, State-gov, 70100, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 193626, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, ?, 271749, 12th, 8, Never-married, ?, Other-relative, Black, Male, 594, 0, 40, United-States, <=50K -25, Private, 189775, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -63, ?, 401531, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K -59, Local-gov, 286967, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -45, Local-gov, 164427, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 91039, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -40, Private, 347934, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -46, Federal-gov, 371373, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 32220, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -34, Private, 187251, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -33, Private, 178107, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 343121, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -20, Private, 262749, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 403107, 5th-6th, 3, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K -26, Private, 64293, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -72, ?, 303588, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -23, Local-gov, 324960, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K -62, Local-gov, 114060, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 48925, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 180980, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 42, France, <=50K -25, Private, 181054, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 388093, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 249609, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 8, United-States, <=50K -43, Private, 112131, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Local-gov, 543162, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 91996, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 141944, Assoc-voc, 11, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 1380, 42, United-States, <=50K -53, ?, 251804, 5th-6th, 3, Widowed, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -32, Private, 37070, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -34, Private, 337587, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 189346, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -57, ?, 222216, Assoc-voc, 11, Widowed, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -25, Private, 267044, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -20, ?, 214635, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, United-States, <=50K -21, ?, 204226, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -34, Private, 108116, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Self-emp-inc, 99146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 80, United-States, >50K -50, Private, 196232, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -24, Local-gov, 248344, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -37, Local-gov, 186035, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Private, 177905, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 58, United-States, >50K -28, Private, 85812, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 221172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -74, Private, 99183, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K -38, Self-emp-not-inc, 190387, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Self-emp-not-inc, 202692, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 109339, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 46, Puerto-Rico, <=50K -26, Private, 108658, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 197202, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 101739, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -67, Private, 231559, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 48, United-States, >50K -39, Local-gov, 207853, 12th, 8, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 190942, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -29, Private, 102345, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-inc, 41493, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -34, ?, 190027, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 210525, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 133937, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 237903, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 163862, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 201872, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 84179, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -58, Private, 51662, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 8, United-States, <=50K -35, Local-gov, 233327, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 259510, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 36, United-States, <=50K -28, Private, 184831, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 245724, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -36, Self-emp-not-inc, 27053, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -72, Private, 205343, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 229328, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K -33, Federal-gov, 319560, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, >50K -69, Private, 136218, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 54576, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 323069, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, ?, <=50K -34, Private, 148291, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 32, United-States, <=50K -30, Private, 152453, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -28, Private, 114053, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -54, Private, 212960, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K -47, Private, 264052, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 82804, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 334273, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 27337, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K -43, Self-emp-inc, 188436, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 45, United-States, <=50K -45, Private, 433665, 7th-8th, 4, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -29, Self-emp-not-inc, 110663, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -47, Private, 87490, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 42, United-States, <=50K -24, Private, 354351, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 95469, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 242718, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K -37, Private, 22463, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K -27, Private, 158156, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -29, Private, 350162, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Male, 0, 0, 40, United-States, >50K -18, ?, 165532, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -36, Self-emp-not-inc, 28738, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -58, Local-gov, 283635, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 86646, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -65, ?, 195733, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K -57, Private, 69884, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 199713, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 181659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 340939, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 197747, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K -29, Private, 34292, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -18, Private, 156764, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 25826, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 47, United-States, >50K -57, Self-emp-inc, 103948, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -42, ?, 137390, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, ?, 105138, HS-grad, 9, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -60, Private, 39352, 7th-8th, 4, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -31, Private, 168387, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, Canada, >50K -23, Private, 117789, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 267147, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 99399, Some-college, 10, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K -42, Self-emp-not-inc, 214242, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -25, Private, 200408, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -49, Private, 136455, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -32, Private, 239824, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 217039, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 28, United-States, <=50K -60, Private, 51290, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 175674, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 194404, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 45612, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -51, Private, 410114, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 182521, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 339772, HS-grad, 9, Separated, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -17, Private, 169658, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 21, United-States, <=50K -52, Private, 200853, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K -24, Private, 247564, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 249909, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Local-gov, 208122, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 1055, 0, 40, United-States, <=50K -27, Private, 109881, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -39, Private, 207824, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 369027, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K -50, Self-emp-not-inc, 114117, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K -52, Self-emp-inc, 51048, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -46, Private, 102388, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -23, Private, 190483, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 462440, 11th, 7, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -65, Private, 109351, 9th, 5, Widowed, Priv-house-serv, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K -29, Private, 34383, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -47, Private, 241832, 9th, 5, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K -30, Private, 124187, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 60, United-States, <=50K -34, Private, 153614, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Self-emp-not-inc, 267556, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 64, United-States, <=50K -33, Private, 205469, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 268090, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, United-States, >50K -47, Self-emp-not-inc, 165039, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 120451, 10th, 6, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 154374, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, United-States, >50K -30, Private, 103649, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K -58, Self-emp-not-inc, 35723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 262601, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K -21, Private, 226181, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 175697, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -47, Self-emp-inc, 248145, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Cuba, <=50K -52, Self-emp-not-inc, 289436, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 75654, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -60, Private, 199378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 160968, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 188563, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K -31, Private, 55849, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -50, Self-emp-inc, 195322, Doctorate, 16, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -31, Local-gov, 402089, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -71, Private, 78277, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K -58, ?, 158611, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, State-gov, 169496, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 130959, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 556660, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 4101, 0, 50, United-States, <=50K -35, Private, 292472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K -38, State-gov, 143774, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -27, Private, 288341, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 32, United-States, <=50K -29, State-gov, 71592, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -70, ?, 167358, 9th, 5, Widowed, ?, Unmarried, White, Female, 1111, 0, 15, United-States, <=50K -34, Private, 106742, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 219288, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 174524, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-not-inc, 335183, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K -35, Private, 261293, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 111900, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 194360, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -20, Private, 81145, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -42, Private, 341204, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 8614, 0, 40, United-States, >50K -27, State-gov, 249362, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3411, 0, 40, United-States, <=50K -42, Private, 247019, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -20, ?, 114746, 11th, 7, Married-spouse-absent, ?, Own-child, Asian-Pac-Islander, Female, 0, 1762, 40, South, <=50K -24, Private, 172146, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1721, 40, United-States, <=50K -48, Federal-gov, 110457, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, ?, 80077, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -17, Self-emp-not-inc, 368700, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K -33, Private, 182556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Self-emp-inc, 219420, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 240817, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 2597, 0, 40, United-States, <=50K -17, Private, 102726, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -32, Private, 226267, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 125457, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -58, Self-emp-not-inc, 204021, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Local-gov, 92262, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K -37, Private, 161141, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, >50K -34, Self-emp-not-inc, 190290, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Local-gov, 430828, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -18, State-gov, 59342, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 5, United-States, <=50K -34, Private, 136721, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, ?, 149422, 7th-8th, 4, Never-married, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K -45, Local-gov, 86644, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, <=50K -41, Private, 195124, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, Dominican-Republic, <=50K -26, Private, 167350, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -54, Local-gov, 113000, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 140027, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 45, United-States, <=50K -42, Private, 262425, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 316702, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -23, State-gov, 335453, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -25, ?, 202480, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 203628, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -31, Private, 118710, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K -30, Private, 189620, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, Poland, <=50K -19, Private, 475028, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -36, Local-gov, 110866, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 243605, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 1380, 40, Cuba, <=50K -21, Private, 163870, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -31, Self-emp-not-inc, 80145, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 295566, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 25236, 0, 65, United-States, >50K -44, Private, 63042, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, >50K -40, Private, 229148, 12th, 8, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K -45, Private, 242552, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -60, Private, 177665, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -18, Private, 208103, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -28, Private, 296450, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 70282, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 271767, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -40, Private, 144995, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 4386, 0, 40, United-States, <=50K -36, Local-gov, 382635, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Honduras, <=50K -31, Private, 295697, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 194141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, State-gov, 378418, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 214399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -34, Private, 217460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 182556, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 125831, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 60, United-States, <=50K -29, Private, 271328, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -50, Local-gov, 50459, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -42, Private, 162140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K -43, Private, 177937, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, >50K -44, Private, 111502, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 299047, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -31, Private, 223212, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -65, Self-emp-not-inc, 118474, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 59, ?, >50K -23, Private, 352139, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -55, Private, 173093, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -26, Private, 181655, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2377, 45, United-States, <=50K -25, Private, 332702, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -45, ?, 51164, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 234901, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K -36, Private, 131414, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K -43, State-gov, 260960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 156052, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 594, 0, 20, United-States, <=50K -42, Private, 279914, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 192453, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -55, Self-emp-not-inc, 200939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K -42, Private, 151408, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K -26, Private, 112847, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 316929, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -42, Local-gov, 126319, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -55, Private, 197422, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K -32, Private, 267736, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 267034, 11th, 7, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, Haiti, <=50K -46, State-gov, 193047, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, <=50K -29, State-gov, 356089, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -22, Private, 223515, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -58, Self-emp-not-inc, 87510, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 145111, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 48093, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 31757, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 38, United-States, <=50K -54, Private, 285854, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Local-gov, 120064, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -46, Federal-gov, 167381, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -37, Private, 103408, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 101460, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -59, Local-gov, 420537, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, >50K -34, Local-gov, 119411, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, Portugal, <=50K -53, Self-emp-inc, 128272, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -51, Private, 386773, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -32, Private, 283268, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -31, State-gov, 301526, Some-college, 10, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 151790, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, Germany, <=50K -47, Self-emp-not-inc, 106252, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -32, Private, 188557, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 171114, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -37, Private, 327323, 5th-6th, 3, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 32, Guatemala, <=50K -31, Private, 244147, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -37, Private, 280282, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, >50K -55, Private, 116442, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -23, Local-gov, 282579, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -36, Private, 51838, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 73585, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K -43, Private, 226902, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Private, 279129, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 146908, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -28, Private, 196690, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1669, 42, United-States, <=50K -40, Private, 130760, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Self-emp-not-inc, 49572, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 237601, Bachelors, 13, Never-married, Sales, Not-in-family, Other, Female, 0, 0, 55, United-States, >50K -42, Private, 169628, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -61, Self-emp-not-inc, 36671, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2352, 50, United-States, <=50K -18, Private, 231193, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K -59, ?, 192130, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K -21, ?, 149704, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 1055, 0, 40, United-States, <=50K -48, Private, 102102, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Self-emp-inc, 32185, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 196061, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 33, United-States, <=50K -23, Private, 211046, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 2463, 0, 40, United-States, <=50K -60, Private, 31577, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -22, Private, 162343, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K -61, Private, 128831, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 316688, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 90758, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, >50K -43, Private, 274363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, England, >50K -43, Private, 154538, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 106085, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 1721, 30, United-States, <=50K -68, Self-emp-not-inc, 315859, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 51471, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -17, Private, 193830, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 231043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 48, United-States, >50K -50, ?, 23780, Masters, 14, Married-spouse-absent, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 169879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 47, United-States, >50K -64, Private, 270333, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 138768, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 191571, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K -22, ?, 219941, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 94113, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 137510, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 32607, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Self-emp-not-inc, 93208, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 75, Italy, <=50K -41, Private, 254440, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -56, Private, 186556, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -64, Private, 169871, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 191277, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -48, Private, 167159, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 171871, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -29, Private, 154411, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 129227, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 110331, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 60, United-States, <=50K -57, Private, 34269, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 653, 42, United-States, >50K -62, Private, 174355, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 680390, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -43, Private, 233130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -24, Self-emp-inc, 165474, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, ?, 257780, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -53, Private, 194259, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4386, 0, 40, United-States, >50K -26, Private, 280093, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -73, Self-emp-not-inc, 177387, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -72, ?, 28929, 11th, 7, Widowed, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -55, Private, 105304, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 499233, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 180572, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -24, Private, 321435, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -63, Private, 86108, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K -17, Private, 198124, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 135162, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 146813, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Local-gov, 291175, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -55, Private, 387569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K -43, Private, 102895, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Local-gov, 33274, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 86551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 138192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 118966, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 18, United-States, <=50K -61, Private, 99784, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -26, Private, 90980, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -46, Self-emp-not-inc, 177407, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 96467, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, State-gov, 327886, Doctorate, 16, Divorced, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, >50K -34, Private, 111567, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 166545, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 142182, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 188798, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 38563, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 56, United-States, >50K -18, Private, 216284, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -43, Private, 191547, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -48, Private, 285335, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Self-emp-inc, 142712, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -33, Private, 80945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 309055, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -21, Private, 62339, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 368700, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 28, United-States, <=50K -39, Private, 176186, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Self-emp-not-inc, 266855, Bachelors, 13, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 48087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 121313, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K -71, Self-emp-not-inc, 143437, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 40, United-States, >50K -51, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 2415, 40, China, >50K -55, Private, 282753, 5th-6th, 3, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 25, United-States, <=50K -41, Private, 194636, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 153044, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 7, United-States, <=50K -38, Private, 411797, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 117683, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 376540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 72393, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 270335, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Philippines, >50K -27, Private, 96226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -38, Private, 95336, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 258498, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 60, United-States, <=50K -63, ?, 149698, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -23, Private, 205865, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 28, United-States, <=50K -33, Self-emp-inc, 155781, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, <=50K -54, Self-emp-not-inc, 406468, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 177119, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 2174, 0, 45, United-States, <=50K -48, ?, 144397, Some-college, 10, Divorced, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -35, Self-emp-not-inc, 372525, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 164170, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K -37, Private, 183800, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -42, Self-emp-not-inc, 177307, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, >50K -40, Private, 170108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 341995, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K -22, Private, 226508, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K -30, Private, 87418, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 109165, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Local-gov, 28856, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K -51, Self-emp-not-inc, 175897, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -22, Private, 99697, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, ?, 90270, Assoc-acdm, 12, Married-civ-spouse, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -35, Private, 152375, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 171550, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -37, Private, 211154, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -24, Private, 202570, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 15, United-States, <=50K -37, Self-emp-not-inc, 168496, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -53, Private, 68898, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 93235, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 278924, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -53, Self-emp-not-inc, 311020, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 175878, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 543028, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 202027, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -43, Private, 158926, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K -67, Self-emp-inc, 76860, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -81, Self-emp-not-inc, 136063, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -21, Private, 186648, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 257509, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -25, Private, 98155, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 274198, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 38, Mexico, <=50K -38, Private, 97083, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -64, ?, 29825, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K -32, Private, 262153, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 214738, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 138022, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -22, Private, 91842, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -33, Private, 373662, 1st-4th, 2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K -42, Private, 162003, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -19, ?, 52114, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -51, Local-gov, 241843, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 375871, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K -37, Private, 186934, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 44, United-States, >50K -37, Private, 176900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, >50K -47, Private, 21906, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -41, Private, 132222, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 40, United-States, >50K -33, Private, 143653, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 111567, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -31, Private, 78602, Assoc-acdm, 12, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -35, Private, 465507, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-inc, 196373, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 293227, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -20, Private, 241752, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Local-gov, 166398, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -40, Private, 184682, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 108293, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 45, United-States, >50K -43, Private, 250802, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -44, Self-emp-not-inc, 325159, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -44, State-gov, 174675, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -43, Private, 227065, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K -51, Private, 269080, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 177722, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -51, Private, 133461, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 239683, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, ?, <=50K -44, Self-emp-inc, 398473, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -33, Local-gov, 298785, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 123424, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 176286, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 150062, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 169240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -32, Private, 288273, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, Mexico, <=50K -36, Private, 526968, 10th, 6, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 57066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 323573, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -35, Self-emp-inc, 368825, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -55, Self-emp-not-inc, 189721, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -48, Private, 164966, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -36, ?, 94954, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 202046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K -28, Private, 161538, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -67, Private, 105252, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 2392, 40, United-States, >50K -37, Private, 200153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 32185, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 70, United-States, <=50K -25, Private, 178326, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 255957, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K -40, State-gov, 188693, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -78, Private, 182977, HS-grad, 9, Widowed, Other-service, Not-in-family, Black, Female, 2964, 0, 40, United-States, <=50K -34, Private, 159929, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 123207, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -22, Private, 284317, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, ?, 184699, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 154474, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 42, United-States, <=50K -45, Local-gov, 318280, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -63, Private, 254907, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 349221, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -47, Private, 335973, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 126701, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 122159, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K -46, Private, 187370, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K -41, Private, 194636, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 124793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 192835, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 290226, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 112840, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -45, Private, 89325, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -48, Federal-gov, 33109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 58, United-States, >50K -40, Private, 82465, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K -39, Self-emp-inc, 329980, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -20, Private, 148294, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 168212, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 65, United-States, >50K -38, State-gov, 343642, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -23, Local-gov, 115244, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K -31, Private, 162572, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -58, Private, 356067, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 271567, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 180804, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-not-inc, 123011, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 52, United-States, >50K -26, Private, 109186, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, <=50K -51, Private, 220537, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 124827, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 767403, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K -42, Private, 118494, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -38, Private, 173208, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K -48, Private, 107373, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 26973, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -51, Private, 191965, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -22, Private, 122346, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 117201, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -41, Private, 198316, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, Japan, <=50K -48, Local-gov, 123075, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -42, Private, 209370, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 33117, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 129042, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -56, Private, 169133, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Yugoslavia, <=50K -30, Private, 201624, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K -45, Private, 368561, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -48, Private, 207848, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 138370, Masters, 14, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K -31, Private, 93106, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, State-gov, 223515, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 1719, 20, United-States, <=50K -27, Private, 389713, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 206365, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -76, ?, 431192, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K -19, ?, 241616, HS-grad, 9, Never-married, ?, Unmarried, White, Male, 0, 2001, 40, United-States, <=50K -66, Self-emp-inc, 150726, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 1409, 0, 1, ?, <=50K -37, Private, 123785, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K -34, Private, 289984, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -34, ?, 164309, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K -90, Private, 137018, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 137994, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 341204, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 167005, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K -24, Private, 34446, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -28, Private, 187160, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -64, ?, 196288, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 217961, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 74631, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -36, Private, 156667, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -61, Private, 125155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 263925, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K -30, Private, 296453, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -52, Self-emp-not-inc, 44728, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -38, Private, 193026, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Iran, <=50K -32, Private, 87643, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 106742, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K -41, Private, 302122, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 193960, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -45, Private, 185385, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, >50K -43, Self-emp-not-inc, 277647, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -61, Private, 128848, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3471, 0, 40, United-States, <=50K -54, Private, 377701, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, Mexico, <=50K -34, Private, 157886, Assoc-acdm, 12, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 175958, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K -38, Private, 223004, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 199352, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 80, United-States, >50K -36, Private, 29984, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 181651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 117312, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -22, Local-gov, 34029, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -38, Private, 132879, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -37, Private, 215310, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -48, State-gov, 55863, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 46, United-States, >50K -17, Private, 220384, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K -19, Self-emp-not-inc, 36012, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 137645, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 1590, 40, United-States, <=50K -22, Private, 191342, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K -49, Private, 31339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 227910, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -43, Private, 173728, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Local-gov, 167816, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -58, Self-emp-not-inc, 81642, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, Local-gov, 195258, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 232475, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 241259, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 118161, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 201954, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -42, Private, 150533, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 52, United-States, >50K -38, Private, 412296, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K -41, Federal-gov, 133060, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-not-inc, 120539, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -31, Private, 196025, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, China, <=50K -34, Private, 107793, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 163870, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Self-emp-not-inc, 361280, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K -62, Private, 92178, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 80710, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Self-emp-inc, 260729, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 1977, 25, United-States, >50K -43, Private, 182254, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -68, ?, 140282, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -45, Self-emp-inc, 149865, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K -39, Self-emp-inc, 218184, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1651, 40, Mexico, <=50K -41, Private, 118619, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K -34, Self-emp-not-inc, 196791, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, United-States, >50K -34, Local-gov, 167999, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 33, United-States, <=50K -31, Private, 51259, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -29, Private, 131088, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -41, Private, 118212, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -41, Private, 293791, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -35, Self-emp-inc, 289430, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Mexico, >50K -33, Private, 35378, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K -37, State-gov, 60227, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -69, Private, 168139, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 290763, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-inc, 226355, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2415, 70, ?, >50K -36, Private, 51100, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 227644, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, Local-gov, 205267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -53, Private, 288020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K -29, Private, 140863, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Federal-gov, 170915, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K -34, State-gov, 50178, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K -36, Private, 112497, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 95244, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -20, Private, 117606, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 89508, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -63, Federal-gov, 124244, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 154374, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 294936, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 347132, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -34, ?, 181934, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 316672, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -37, Private, 189382, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -42, ?, 184018, Some-college, 10, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 184307, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Jamaica, >50K -46, Self-emp-not-inc, 246212, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Federal-gov, 250504, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 60, United-States, >50K -27, Private, 138705, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 53, United-States, <=50K -41, Private, 328447, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K -19, Private, 194608, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -20, Private, 230891, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -59, Federal-gov, 212448, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -40, Private, 214010, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -56, Self-emp-not-inc, 200235, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 354573, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 44, United-States, >50K -30, Self-emp-inc, 205733, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -46, Private, 185041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -61, Self-emp-inc, 84409, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -50, Self-emp-inc, 293196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -25, Private, 241626, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -40, Private, 520586, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K -24, ?, 35633, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -51, Private, 302847, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, United-States, <=50K -43, State-gov, 165309, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 117529, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, Mexico, <=50K -46, Private, 106092, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -28, State-gov, 445824, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -26, Private, 227332, Bachelors, 13, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -20, Private, 275691, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K -44, Private, 193459, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K -51, Private, 284329, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 114691, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -54, Private, 96062, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 133963, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 40, United-States, >50K -33, Private, 178506, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -65, Private, 350498, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 10605, 0, 20, United-States, >50K -22, ?, 131573, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K -88, Self-emp-not-inc, 206291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 182302, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 241346, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -50, Private, 157043, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 404616, Masters, 14, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male, 0, 0, 99, United-States, >50K -20, Private, 411862, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 183013, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, ?, 169982, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 188544, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -50, State-gov, 356619, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -47, Private, 45857, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Local-gov, 289886, 11th, 7, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K -50, ?, 146015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 216237, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -36, Private, 416745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 202952, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 167725, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, ?, 165637, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Federal-gov, 43280, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -65, Private, 118779, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -24, State-gov, 191269, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -27, Local-gov, 247507, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K -51, Private, 239155, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 182862, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 33886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 444304, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 187161, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -49, Local-gov, 116892, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 176813, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -59, Private, 151616, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -18, Private, 240747, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K -50, Private, 75472, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, ?, <=50K -45, Federal-gov, 320818, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 80, United-States, >50K -30, Local-gov, 235271, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 166497, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 344060, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -33, Private, 221196, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-inc, 113544, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Local-gov, 321117, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 79619, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K -22, ?, 42004, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -36, Private, 135289, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Self-emp-inc, 320984, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 60, United-States, >50K -37, Private, 203070, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 62, United-States, <=50K -31, Private, 32406, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -54, Private, 99185, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -20, Private, 205839, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -63, ?, 150389, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -48, Self-emp-not-inc, 243631, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 7688, 0, 40, United-States, >50K -33, ?, 163003, HS-grad, 9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 41, China, <=50K -31, Private, 231263, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 45, United-States, <=50K -38, Private, 200818, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Self-emp-not-inc, 247379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 349151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 22154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 176317, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 22245, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, ?, >50K -29, Private, 236436, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 354078, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -42, Self-emp-not-inc, 166813, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -50, Private, 358740, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, England, <=50K -75, Self-emp-not-inc, 208426, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -46, Private, 265266, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -52, Federal-gov, 31838, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 175034, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 413297, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 106347, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 42, United-States, <=50K -23, Private, 174754, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 441454, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -41, Self-emp-not-inc, 209344, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K -31, Private, 185732, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -42, Private, 65372, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 33975, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -55, Private, 326297, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -36, State-gov, 194630, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Self-emp-not-inc, 167414, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 59, United-States, >50K -38, Local-gov, 165799, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -62, Private, 192866, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -54, Self-emp-inc, 166459, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K -49, Private, 148995, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 190040, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 209432, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Self-emp-inc, 229465, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -48, Self-emp-not-inc, 397466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 283767, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K -52, Federal-gov, 202452, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -28, Self-emp-not-inc, 218555, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1762, 40, United-States, <=50K -29, Private, 128604, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -38, Private, 65466, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -57, Private, 141326, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Federal-gov, 369468, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, State-gov, 136137, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 236770, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 89534, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K -69, ?, 195779, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K -73, Private, 29778, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -22, Self-emp-inc, 153516, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -31, Private, 163594, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -38, Private, 189623, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -50, Self-emp-not-inc, 343748, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 387430, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 37, United-States, <=50K -44, Local-gov, 409505, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 200734, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -27, Private, 115831, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 150296, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -25, Private, 323545, HS-grad, 9, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 232577, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 152754, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 129007, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K -67, Private, 171584, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 6514, 0, 7, United-States, >50K -47, Private, 386136, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -42, Private, 342865, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 186785, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K -42, Federal-gov, 158926, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K -65, ?, 36039, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 164019, Some-college, 10, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 10, United-States, <=50K -50, Private, 88926, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5178, 0, 40, United-States, >50K -46, Private, 188861, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 370119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -57, Private, 182062, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 37238, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 421132, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, ?, 178660, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 795830, 1st-4th, 2, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, El-Salvador, <=50K -39, Private, 278403, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -46, Private, 279661, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, <=50K -36, Private, 113397, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 280093, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 50, United-States, <=50K -21, Private, 236696, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 57, United-States, <=50K -41, Private, 265266, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 34935, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 58222, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Federal-gov, 301010, Some-college, 10, Never-married, Armed-Forces, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -29, Private, 419721, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Japan, <=50K -58, Self-emp-inc, 186791, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Self-emp-not-inc, 180686, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 209103, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -37, Private, 32668, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, >50K -29, Private, 256956, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 202203, 5th-6th, 3, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -43, Private, 85995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -49, Private, 125421, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K -45, Federal-gov, 283037, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 192932, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 244689, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -51, Private, 179646, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 509350, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, Canada, >50K -24, Private, 96279, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 119098, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -35, ?, 327120, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -41, State-gov, 144928, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 55237, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -61, Local-gov, 101265, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 1471, 0, 35, United-States, <=50K -20, Private, 114874, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 190525, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -55, Private, 121912, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, >50K -39, Private, 83893, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -17, ?, 138507, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Private, 256522, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K -52, Private, 168381, HS-grad, 9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, >50K -24, Private, 293579, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -29, Private, 285290, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 188488, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 324469, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 275244, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -57, Private, 265099, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -51, Private, 146767, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 40681, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 3674, 0, 16, United-States, <=50K -39, Private, 174938, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 240124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -71, Private, 269708, Bachelors, 13, Divorced, Tech-support, Own-child, White, Female, 2329, 0, 16, United-States, <=50K -38, State-gov, 34180, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, State-gov, 225904, Prof-school, 15, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 89392, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 46857, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, State-gov, 105363, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 195105, HS-grad, 9, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K -35, Private, 184117, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -61, Self-emp-inc, 134768, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K -17, ?, 145886, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 153078, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, ?, >50K -62, ?, 225652, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 50, United-States, <=50K -34, Private, 467108, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -32, Self-emp-inc, 199765, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K -42, Private, 173938, HS-grad, 9, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 191161, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 132606, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 30073, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1848, 60, United-States, >50K -40, Private, 155190, 10th, 6, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 55, United-States, <=50K -31, Private, 42900, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -36, Private, 191161, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 181820, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 105974, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K -52, Private, 146378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 103440, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -51, Private, 203435, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Italy, <=50K -31, Federal-gov, 168312, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 257764, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 171301, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K -53, Federal-gov, 225339, Some-college, 10, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 152234, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, Japan, >50K -20, Private, 444554, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 403788, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -61, ?, 190997, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -43, Private, 221550, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, Poland, <=50K -46, Self-emp-inc, 98929, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K -43, Local-gov, 169203, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -41, Private, 102332, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 230684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -54, Private, 449257, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 198766, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K -32, Private, 97429, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Canada, <=50K -25, Private, 208999, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 37072, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -25, Local-gov, 163101, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 119075, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -37, Self-emp-not-inc, 137314, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 127303, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 349116, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 44, United-States, <=50K -40, Self-emp-not-inc, 266324, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Male, 0, 1564, 70, Iran, >50K -19, ?, 194095, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 46496, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 5, United-States, <=50K -27, Private, 29904, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Local-gov, 289403, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1887, 40, ?, >50K -59, Private, 226922, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 1762, 30, United-States, <=50K -19, Federal-gov, 234151, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 238287, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -42, Private, 230624, 10th, 6, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K -54, Private, 398212, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 5013, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 114758, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 246519, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2105, 0, 45, United-States, <=50K -50, Private, 137815, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -40, Private, 260696, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 325007, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, <=50K -50, Private, 113176, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 66815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -42, ?, 51795, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -24, Private, 241523, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K -30, Private, 30226, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 352628, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 50, United-States, >50K -37, Private, 143912, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 130021, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 329778, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 196945, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 78, Thailand, <=50K -39, Private, 24342, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 34368, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -52, Self-emp-not-inc, 173839, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, State-gov, 73211, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -32, Private, 86723, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -31, Private, 179186, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 90, United-States, >50K -31, Private, 127610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -47, Private, 115070, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, ?, 172582, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 256202, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 202872, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K -41, Private, 184102, 11th, 7, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Federal-gov, 130703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 134727, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 43, Germany, <=50K -45, Self-emp-inc, 36228, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4386, 0, 35, United-States, >50K -39, Private, 297847, 9th, 5, Married-civ-spouse, Other-service, Wife, Black, Female, 3411, 0, 34, United-States, <=50K -19, Private, 213644, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 173796, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K -49, Private, 147322, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Peru, <=50K -59, Private, 296253, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 180871, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -18, ?, 169882, Some-college, 10, Never-married, ?, Own-child, White, Female, 594, 0, 15, United-States, <=50K -35, State-gov, 211115, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 183870, 10th, 6, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 441620, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K -36, Federal-gov, 218542, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 141327, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -47, Private, 67716, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Self-emp-inc, 175339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 60, United-States, <=50K -61, ?, 347089, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K -36, Private, 336595, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 27997, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 145574, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1902, 60, United-States, >50K -50, Private, 30447, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -45, Self-emp-not-inc, 256866, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 120837, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 66, United-States, <=50K -51, Private, 185283, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Self-emp-inc, 229466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 298225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 185749, 11th, 7, Widowed, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -17, ?, 333100, 10th, 6, Never-married, ?, Own-child, White, Male, 1055, 0, 30, United-States, <=50K -49, Self-emp-inc, 125892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Private, 563883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K -56, Private, 311249, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -25, Private, 221757, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K -22, Private, 310152, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -76, ?, 211453, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 2, United-States, <=50K -41, Self-emp-inc, 94113, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -48, Self-emp-inc, 192945, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -46, Private, 161508, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 177675, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -39, Private, 51100, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 100584, 10th, 6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -70, Federal-gov, 163003, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 67728, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 45, United-States, <=50K -49, Private, 101320, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K -24, Private, 42706, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 228535, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 36, United-States, >50K -61, Private, 120939, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 5, United-States, >50K -25, Private, 98283, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 216481, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -69, State-gov, 208869, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 11, United-States, <=50K -22, Private, 207940, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 36, United-States, <=50K -47, Private, 34248, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K -38, Private, 83727, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -26, Private, 183077, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 197850, 11th, 7, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, United-States, <=50K -33, Self-emp-not-inc, 235271, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -43, Self-emp-not-inc, 35236, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 255822, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Self-emp-inc, 263925, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K -26, Private, 256263, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -43, Local-gov, 293535, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -31, Private, 209448, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 40, Mexico, <=50K -30, Private, 57651, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 2001, 42, United-States, <=50K -25, Private, 174592, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -57, Federal-gov, 278763, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 175232, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K -32, Private, 402812, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -26, Private, 101150, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K -45, Private, 103538, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -53, State-gov, 156877, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 35, United-States, >50K -27, Private, 23940, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-inc, 210295, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Private, 80058, 11th, 7, Divorced, Sales, Not-in-family, White, Male, 0, 0, 43, United-States, >50K -35, Private, 187119, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 1980, 65, United-States, <=50K -36, Self-emp-not-inc, 105021, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -19, Private, 225775, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 395831, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K -49, Private, 50282, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K -20, Private, 32732, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -64, Self-emp-inc, 179436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -60, ?, 290593, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 123253, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K -58, State-gov, 48433, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 245317, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 431745, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 14, United-States, <=50K -42, State-gov, 436006, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 224943, Some-college, 10, Married-spouse-absent, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 167990, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K -37, Self-emp-inc, 217054, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -66, Self-emp-not-inc, 298834, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -59, Self-emp-inc, 125000, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K -44, Private, 123983, Bachelors, 13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -46, Private, 155489, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 58, United-States, >50K -59, Private, 284834, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2885, 0, 30, United-States, <=50K -25, Private, 212495, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 1340, 40, United-States, <=50K -17, Local-gov, 32124, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 9, United-States, <=50K -47, Local-gov, 246891, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, State-gov, 141483, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 31985, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 170800, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 166295, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2339, 55, United-States, <=50K -20, Private, 231286, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K -33, Private, 159322, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 176026, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 118025, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -37, Private, 26898, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -47, Private, 232628, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 85995, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 125421, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K -49, Private, 245305, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 42, United-States, >50K -50, Private, 73493, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 197058, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 122116, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 75742, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 214731, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 265954, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 197156, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -62, Private, 162245, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1628, 70, United-States, <=50K -39, Local-gov, 203070, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 165695, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -69, ?, 473040, 5th-6th, 3, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 168107, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 163494, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 180342, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 122381, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K -27, Private, 148069, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 200973, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 130806, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K -56, Private, 117148, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 213977, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 134768, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, ?, >50K -44, Private, 139338, 12th, 8, Divorced, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 315877, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -41, Self-emp-not-inc, 195124, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -25, Private, 352057, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -21, Private, 236684, Some-college, 10, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 8, United-States, <=50K -18, Private, 208447, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 6, United-States, <=50K -45, Private, 149640, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -75, ?, 111177, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 25124, 0, 16, United-States, >50K -51, Private, 154342, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Federal-gov, 141459, HS-grad, 9, Separated, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 111797, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, Outlying-US(Guam-USVI-etc), <=50K -29, Private, 111900, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 78707, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 160574, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 174714, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K -19, ?, 62534, Bachelors, 13, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Jamaica, <=50K -44, Private, 216907, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K -24, Private, 198148, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 124265, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, ?, 261059, 10th, 6, Separated, ?, Own-child, White, Male, 2176, 0, 40, United-States, <=50K -52, Private, 208137, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 257250, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -24, State-gov, 147253, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Local-gov, 244268, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -72, ?, 213255, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -26, Private, 266912, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 169104, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -29, Private, 200511, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 128715, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -48, Self-emp-not-inc, 65535, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 103395, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Private, 71046, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, Scotland, <=50K -28, Self-emp-not-inc, 125442, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 169188, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 121471, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 207281, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, <=50K -26, Local-gov, 46097, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 206671, Some-college, 10, Never-married, ?, Own-child, White, Male, 1055, 0, 50, United-States, <=50K -55, Private, 98361, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, ?, >50K -38, Self-emp-not-inc, 322143, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K -33, Private, 149184, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -33, Local-gov, 119829, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K -37, Private, 910398, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 176570, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 216129, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 27207, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -57, State-gov, 68830, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -22, State-gov, 178818, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -57, Private, 236944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -46, State-gov, 273771, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 318533, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K -35, ?, 451940, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 102318, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 379350, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 21095, Some-college, 10, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -58, Self-emp-not-inc, 211547, 12th, 8, Divorced, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -36, Private, 85272, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K -45, Private, 46406, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, England, >50K -54, Private, 53833, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 161007, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -60, Private, 53707, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 370119, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K -26, Private, 310907, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K -32, Private, 375833, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 107513, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 58683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -44, Self-emp-not-inc, 179557, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -37, Private, 70240, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -44, Private, 147206, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 175548, HS-grad, 9, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K -61, Self-emp-not-inc, 163174, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -51, Private, 126010, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 147876, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 60, United-States, >50K -45, Private, 428350, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 1740, 40, United-States, <=50K -36, ?, 200904, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 21, Haiti, <=50K -39, Private, 328466, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 2407, 0, 70, Mexico, <=50K -67, Local-gov, 258973, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -40, State-gov, 345969, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 127796, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K -37, Private, 405723, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -57, Private, 175942, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 284196, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 89718, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 2202, 0, 48, United-States, <=50K -34, Self-emp-inc, 175761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -54, Private, 206369, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 50, United-States, >50K -52, Private, 158993, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K -42, Private, 285066, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Private, 126754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -65, State-gov, 209280, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 6514, 0, 35, United-States, >50K -55, Self-emp-not-inc, 52888, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 10, United-States, <=50K -71, Self-emp-inc, 133821, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -33, Private, 240763, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 39054, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 119272, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -59, Private, 143372, 10th, 6, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 323421, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -36, Self-emp-not-inc, 136028, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -26, Self-emp-not-inc, 163189, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 202729, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 421871, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -44, Private, 120277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, Italy, >50K -26, ?, 211798, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 198901, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -18, Private, 214617, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K -55, Self-emp-not-inc, 179715, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 18, United-States, <=50K -49, Local-gov, 107231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K -44, Private, 110355, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 184378, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 273454, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Cuba, <=50K -44, Private, 443040, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, ?, 71701, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 160151, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 107991, 11th, 7, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -52, Private, 94391, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 99835, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -44, Private, 43711, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -43, Private, 83756, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 120914, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2961, 0, 40, United-States, <=50K -20, Private, 180052, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Private, 170846, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Italy, >50K -43, Private, 37937, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -64, ?, 168340, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, >50K -24, Private, 38455, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Federal-gov, 128059, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 420895, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 166744, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -26, Private, 238768, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -43, Private, 176270, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K -50, Private, 140592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, Self-emp-not-inc, 211466, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 80, United-States, <=50K -37, Private, 188540, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K -43, Private, 39581, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -37, Private, 171150, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -53, Private, 117496, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 36, Canada, <=50K -44, Private, 145160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 28520, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 103851, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 1055, 0, 20, United-States, <=50K -19, Private, 375077, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -53, State-gov, 281590, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K -44, Private, 151504, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 415287, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1902, 40, United-States, >50K -49, Private, 32212, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 43, United-States, <=50K -35, Private, 123606, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 202565, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -54, Private, 177927, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 256723, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -18, Private, 46247, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -24, Private, 266926, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 112031, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -22, ?, 376277, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 168817, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 187487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -32, ?, 158784, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 67222, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, China, <=50K -43, Private, 201723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K -73, Private, 267408, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 15, United-States, <=50K -47, Federal-gov, 168191, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -49, Private, 105444, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 39, United-States, <=50K -38, Private, 156728, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 148600, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 19914, Some-college, 10, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -42, Private, 190767, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 233955, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K -35, Private, 30381, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Private, 187069, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 367314, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 101119, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K -38, Private, 86551, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -40, Local-gov, 218995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -21, Private, 57711, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -44, Private, 303521, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 199067, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 247445, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -49, Private, 186078, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -31, Private, 77634, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K -24, Private, 180060, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 6849, 0, 90, United-States, <=50K -46, Private, 56482, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 314177, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 239755, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -27, Private, 377680, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -64, Self-emp-not-inc, 134960, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 35, United-States, >50K -26, Private, 294493, Bachelors, 13, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 32616, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1719, 16, United-States, <=50K -45, Private, 182655, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, ?, >50K -57, Local-gov, 52267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K -30, Private, 117963, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 98881, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 32, United-States, <=50K -50, Private, 196963, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -38, Private, 166988, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 193459, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 182342, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -32, Private, 496743, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 154781, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 219371, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 99179, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 224910, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 304651, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 349689, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 106850, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 196328, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K -25, Private, 169323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 162924, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K -40, Self-emp-not-inc, 34037, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -51, ?, 167651, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 197384, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -42, Private, 251795, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -65, ?, 266081, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 165309, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 215873, 10th, 6, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 45, United-States, <=50K -46, Private, 133938, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 27828, 0, 50, United-States, >50K -49, Private, 159816, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 20, United-States, >50K -24, Private, 228424, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 195576, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, Private, 105200, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 6767, 0, 20, United-States, <=50K -26, Private, 167350, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K -29, Private, 52199, HS-grad, 9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 171338, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -51, Private, 120173, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 50, United-States, >50K -17, ?, 158762, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -49, Private, 169818, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K -31, Private, 288419, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 207546, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 147707, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Male, 0, 2339, 40, United-States, <=50K -17, ?, 228373, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -43, Private, 193882, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -38, Private, 31033, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -37, Private, 272950, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 183523, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 238415, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 19302, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 2202, 0, 38, United-States, <=50K -42, Local-gov, 339671, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K -35, Local-gov, 103260, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K -39, Private, 79331, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, United-States, >50K -40, Private, 135056, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -66, Private, 142723, 5th-6th, 3, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K -30, Federal-gov, 188569, 9th, 5, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 57322, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 178309, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -45, Private, 166107, Masters, 14, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -31, Private, 53042, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, <=50K -33, Private, 155343, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K -32, Private, 35595, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 429507, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -50, Federal-gov, 159670, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Private, 151210, 7th-8th, 4, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 186792, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 204640, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 87205, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -38, Self-emp-inc, 112847, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -41, Private, 107306, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -50, State-gov, 211319, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -59, Private, 183606, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 205390, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 49, United-States, <=50K -73, Local-gov, 232871, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 2228, 0, 10, United-States, <=50K -52, Self-emp-inc, 101017, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, <=50K -57, Private, 114495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -35, Private, 183898, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -51, Private, 163921, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, >50K -22, Private, 311764, 11th, 7, Widowed, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -49, Private, 188330, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 267174, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 36228, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, <=50K -48, Private, 199739, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 185407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -43, State-gov, 206139, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 282063, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 332379, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 418324, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 36, United-States, <=50K -19, ?, 263338, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 158948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, >50K -51, Private, 221532, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K -22, Self-emp-not-inc, 202920, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 99999, 0, 40, Dominican-Republic, >50K -37, Local-gov, 118909, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -19, Private, 286469, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -45, Private, 191914, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -21, State-gov, 142766, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -52, Private, 198744, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Local-gov, 272780, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, <=50K -42, State-gov, 219553, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -56, Private, 261232, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 64292, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 312131, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -70, Private, 30713, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 246439, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 338105, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -23, Private, 228243, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -34, Local-gov, 62463, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 40, United-States, <=50K -38, Private, 31603, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 165054, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 121618, 7th-8th, 4, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -45, Federal-gov, 273194, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 3325, 0, 40, United-States, <=50K -21, ?, 163665, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 538319, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K -34, Private, 238246, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 244665, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 45, United-States, >50K -21, Private, 131811, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, ?, 231777, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -23, Private, 156807, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 36, United-States, <=50K -28, Private, 236861, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -29, Self-emp-not-inc, 229842, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K -25, Local-gov, 190057, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, State-gov, 55076, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -18, Private, 152545, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K -26, Private, 153434, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K -47, Local-gov, 171095, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -23, Private, 239322, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 138999, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Local-gov, 95450, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K -25, Private, 176520, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 72338, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 54, United-States, >50K -60, ?, 386261, Bachelors, 13, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K -23, Private, 235722, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -36, Federal-gov, 128884, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -46, Private, 187226, 9th, 5, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -32, Self-emp-not-inc, 298332, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -40, Private, 173607, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 226756, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -31, Private, 157887, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -32, State-gov, 171111, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -21, Private, 126314, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -63, Private, 174018, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -44, Private, 144778, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -42, Self-emp-not-inc, 201522, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -23, ?, 22966, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -30, Private, 399088, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -24, Private, 282202, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K -42, Private, 102606, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-not-inc, 246862, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Italy, >50K -27, Federal-gov, 508336, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K -27, Local-gov, 263431, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 235733, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -68, Private, 107910, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 184425, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, >50K -22, Self-emp-not-inc, 143062, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Greece, <=50K -25, Private, 199545, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, <=50K -68, Self-emp-not-inc, 197015, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -62, Private, 149617, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -26, Private, 33610, HS-grad, 9, Divorced, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 192002, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -68, Private, 67791, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 445382, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -45, Private, 112283, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 157249, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 109872, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 119838, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 149943, Some-college, 10, Never-married, Other-service, Not-in-family, Other, Male, 0, 1590, 40, ?, <=50K -65, Without-pay, 27012, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 91666, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 270276, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 179271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 161819, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Local-gov, 339681, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 45, United-States, <=50K -26, Self-emp-not-inc, 219897, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -26, Private, 91683, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 188834, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 187046, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 191807, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -52, Self-emp-inc, 179951, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 324420, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K -41, Self-emp-not-inc, 66632, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 121718, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K -47, Private, 162034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -28, Local-gov, 218990, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 46, United-States, <=50K -25, Local-gov, 125863, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 225330, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 120426, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 119741, Masters, 14, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -44, Private, 32000, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K -21, ?, 124242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 278581, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 230224, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -30, Private, 204374, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1741, 48, United-States, <=50K -45, Private, 188386, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1628, 45, United-States, <=50K -20, Private, 164922, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 195176, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -43, Private, 166740, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -50, ?, 156008, 11th, 7, Married-civ-spouse, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 162551, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 48, China, <=50K -25, Private, 211231, HS-grad, 9, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 48, United-States, >50K -25, Private, 169990, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 221832, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Local-gov, 255454, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 28160, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, State-gov, 159219, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Canada, >50K -26, Local-gov, 103148, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 165186, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 31782, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Local-gov, 249101, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 243190, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K -18, Local-gov, 153405, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -37, Private, 329980, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K -57, Private, 176079, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, State-gov, 218542, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, State-gov, 303446, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, Nicaragua, <=50K -40, Private, 102606, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-not-inc, 483201, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -77, Local-gov, 144608, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 6, United-States, <=50K -30, Private, 226013, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 165475, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 263637, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 201495, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K -68, Private, 213720, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 170483, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -26, Private, 214303, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -32, Private, 190511, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 242150, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K -51, Local-gov, 159755, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 147629, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -49, Private, 268022, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 188711, Bachelors, 13, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -29, Private, 452205, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -21, Private, 260847, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 291374, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 189933, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 133969, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, >50K -35, Private, 330664, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, ?, 672412, 11th, 7, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 122999, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -30, Private, 111415, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Germany, <=50K -33, Private, 217235, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K -40, Private, 121956, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 13550, 0, 40, Cambodia, >50K -23, Private, 120172, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 343403, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 104790, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Local-gov, 473547, 10th, 6, Divorced, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 260106, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -49, Federal-gov, 168232, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 348491, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 24106, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -60, Self-emp-inc, 197553, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -29, Private, 421065, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -54, Self-emp-inc, 138852, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -28, ?, 169631, Assoc-acdm, 12, Married-AF-spouse, ?, Wife, White, Female, 0, 0, 3, United-States, <=50K -34, Private, 379412, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 181992, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -19, Private, 365640, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, ?, <=50K -26, Private, 236564, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 363418, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -50, Private, 112351, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, <=50K -30, Private, 204704, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, >50K -44, Private, 54611, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 128132, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -75, Self-emp-not-inc, 30599, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 379522, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -51, State-gov, 196504, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 38, United-States, <=50K -35, Private, 82552, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 104024, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 293114, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1409, 0, 40, United-States, <=50K -72, Private, 74141, 9th, 5, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 48, United-States, >50K -39, Private, 192337, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 262478, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -57, Private, 185072, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K -24, Private, 296045, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 38, United-States, <=50K -28, Private, 246595, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 70, United-States, <=50K -23, Private, 54472, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 331065, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K -23, Private, 161708, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -31, Private, 264936, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 113545, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 212237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 45, United-States, <=50K -31, Private, 170430, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, ?, <=50K -34, Private, 173806, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 4865, 0, 60, United-States, <=50K -57, Federal-gov, 370890, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2258, 40, United-States, <=50K -39, Private, 505119, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K -23, Private, 193089, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Local-gov, 33432, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 103110, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, England, <=50K -32, Private, 160362, Some-college, 10, Divorced, Other-service, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K -35, Private, 204621, Assoc-acdm, 12, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 35309, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 154373, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -47, Private, 194772, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 154410, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Federal-gov, 220563, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 253354, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 211699, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, >50K -63, Self-emp-not-inc, 167501, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 20051, 0, 10, United-States, >50K -34, Private, 229732, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 185465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 335764, 11th, 7, Married-civ-spouse, Sales, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -23, Private, 460046, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -19, ?, 33487, Some-college, 10, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -50, Private, 176924, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -49, State-gov, 213307, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 83893, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 194102, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 238611, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -41, Private, 113597, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 16, United-States, <=50K -27, Self-emp-not-inc, 208406, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -53, Private, 274528, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -17, Self-emp-not-inc, 60116, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K -23, ?, 196816, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -53, Private, 166368, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 303954, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 42, United-States, >50K -24, Private, 99386, Bachelors, 13, Married-spouse-absent, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 188569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -53, Private, 302868, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -18, Private, 283342, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K -24, Private, 233777, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, Mexico, <=50K -20, Private, 170038, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 261319, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, State-gov, 367237, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -34, Private, 126838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 354104, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 176321, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -47, Private, 85129, HS-grad, 9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -20, ?, 376474, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K -22, Private, 62507, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 111252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -60, Private, 156889, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 549430, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -46, Private, 29696, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -66, Private, 98837, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 86150, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 30, United-States, >50K -34, Private, 204991, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 44, United-States, <=50K -45, Private, 371886, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K -35, Private, 103605, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, ?, 54851, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 133050, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 126569, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Federal-gov, 144259, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 161482, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -25, Self-emp-not-inc, 305449, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 125010, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 304133, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -59, Local-gov, 120617, HS-grad, 9, Separated, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 157747, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 297396, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -42, Private, 121287, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -28, ?, 308493, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 17, Honduras, <=50K -37, Private, 49115, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Self-emp-inc, 208302, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K -25, Private, 304032, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 36, United-States, <=50K -31, Federal-gov, 207301, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -37, Private, 123211, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, United-States, >50K -42, Private, 33521, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -29, ?, 410351, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 410034, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 175339, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 47, United-States, >50K -22, ?, 27937, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K -49, Private, 168211, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K -26, Private, 125680, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 16, Japan, <=50K -56, Local-gov, 160829, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -52, Private, 266529, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -61, Self-emp-not-inc, 115023, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, ?, <=50K -47, State-gov, 224149, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -52, Private, 150930, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 343699, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 172826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 55, United-States, >50K -35, Private, 163392, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -17, ?, 103810, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 213821, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -26, Private, 211265, Some-college, 10, Married-spouse-absent, Craft-repair, Other-relative, Black, Female, 0, 0, 35, Dominican-Republic, <=50K -58, Local-gov, 160586, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 146454, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5556, 0, 40, United-States, >50K -30, Private, 203277, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -46, Private, 309895, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 26522, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 35, United-States, >50K -57, Private, 103809, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 90291, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 181761, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K -37, Private, 35330, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1669, 55, United-States, <=50K -45, Local-gov, 135776, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -61, ?, 188172, Doctorate, 16, Widowed, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K -39, Private, 179579, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 193626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 53, United-States, <=50K -20, Private, 108887, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 199070, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 16, United-States, <=50K -25, Private, 441591, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 185254, 5th-6th, 3, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K -24, Private, 109307, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -20, ?, 81853, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K -35, Private, 23621, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -44, Local-gov, 145178, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 38, Jamaica, >50K -47, State-gov, 30575, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, State-gov, 130620, 11th, 7, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K -41, Local-gov, 22155, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -31, Private, 106437, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 79787, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -47, Private, 326857, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -44, Private, 81853, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -61, Private, 120933, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Federal-gov, 153143, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K -46, Private, 27669, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -46, Private, 105444, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Local-gov, 169785, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -49, Private, 122493, HS-grad, 9, Widowed, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -56, Local-gov, 242670, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 54933, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 209317, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -25, Self-emp-not-inc, 282631, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 98044, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 187487, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 60186, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 75648, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -28, Private, 201175, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 19302, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -21, ?, 300812, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 146659, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 35, United-States, >50K -75, Private, 101887, 10th, 6, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -66, ?, 117778, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 60726, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-inc, 201763, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -57, Self-emp-inc, 119253, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 65, United-States, >50K -47, Self-emp-not-inc, 121124, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, Italy, >50K -41, Private, 220132, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -21, Private, 60639, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -17, Private, 195262, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 17, United-States, <=50K -61, ?, 113544, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, <=50K -47, ?, 331650, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, >50K -22, Private, 100587, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -47, Private, 298130, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 242391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Self-emp-not-inc, 197867, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -59, Private, 151977, 10th, 6, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -38, Private, 277347, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 125249, HS-grad, 9, Separated, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 222142, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 270194, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 169995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -27, Private, 359155, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -60, Private, 123992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -64, Local-gov, 266080, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -37, Private, 201531, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-not-inc, 179704, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -36, Private, 393673, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -34, Private, 244147, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -41, Self-emp-not-inc, 438696, Masters, 14, Divorced, Sales, Unmarried, White, Male, 0, 0, 5, United-States, >50K -35, Self-emp-not-inc, 207568, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K -63, Self-emp-inc, 54052, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K -46, Private, 187581, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 77102, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 353010, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -29, Private, 54131, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -74, Federal-gov, 39890, Some-college, 10, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -50, Private, 156877, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K -22, Private, 355686, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 300168, 12th, 8, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 488720, 9th, 5, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -32, Private, 157287, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 214169, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 192149, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 137253, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Private, 373050, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 90377, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6767, 0, 60, United-States, <=50K -28, Federal-gov, 183151, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K -55, Private, 227158, Bachelors, 13, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 34021, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 165148, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -47, Private, 211668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, >50K -45, Private, 358886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 47707, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 306982, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K -49, Local-gov, 52590, HS-grad, 9, Widowed, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, ?, 179352, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 158156, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -42, Private, 70055, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, ?, 131852, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K -64, Self-emp-not-inc, 177825, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 1055, 0, 40, United-States, <=50K -33, Private, 127215, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -23, Private, 175183, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 142287, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 221324, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 227602, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 37, Mexico, <=50K -22, Private, 228452, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -57, State-gov, 39380, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -20, ?, 96862, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K -23, Private, 336360, 7th-8th, 4, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -31, Private, 257644, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -23, State-gov, 235853, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K -30, Private, 270577, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Local-gov, 222900, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -42, Private, 99254, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K -51, Private, 224763, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K -59, Self-emp-not-inc, 174056, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -36, Private, 127306, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 339506, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 178322, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K -33, Private, 189843, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 160815, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 207665, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -37, State-gov, 160402, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Private, 170263, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 184659, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 52, United-States, <=50K -38, Federal-gov, 338320, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -54, Private, 101017, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 204322, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 241350, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -63, Federal-gov, 217994, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 128143, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Self-emp-not-inc, 164065, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K -64, Local-gov, 78866, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 236769, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Federal-gov, 239539, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -39, Private, 34028, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -45, State-gov, 207847, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 175935, Doctorate, 16, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K -22, Federal-gov, 218445, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -63, Self-emp-inc, 215833, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 156976, Assoc-voc, 11, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 220647, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -20, Private, 218343, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -29, Private, 241431, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -38, Local-gov, 123983, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 1741, 40, Vietnam, <=50K -25, Private, 73289, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 408623, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 169180, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 54929, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 306779, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 159549, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 482082, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 21, Mexico, <=50K -32, Local-gov, 286101, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -44, Private, 167955, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K -40, Self-emp-not-inc, 209040, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 105017, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 27776, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 242941, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1602, 10, United-States, <=50K -41, Private, 118853, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 119565, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 196827, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, <=50K -47, Private, 275361, Assoc-acdm, 12, Widowed, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -42, Private, 225193, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 329783, 10th, 6, Never-married, Sales, Other-relative, White, Female, 0, 0, 10, United-States, <=50K -29, Local-gov, 107411, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -21, State-gov, 258490, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -18, ?, 120243, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 27, United-States, <=50K -31, Private, 219509, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, >50K -27, Local-gov, 29174, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 40083, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -23, Private, 87528, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -41, Private, 116379, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 55, Taiwan, >50K -46, Local-gov, 216214, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -34, Private, 268051, Some-college, 10, Married-civ-spouse, Protective-serv, Other-relative, Black, Female, 0, 0, 25, Haiti, <=50K -42, Self-emp-not-inc, 121718, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K -18, Private, 201901, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 1719, 15, United-States, <=50K -46, Private, 109089, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -18, ?, 346382, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K -52, Private, 284129, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 143030, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 212619, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Self-emp-not-inc, 199011, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 118901, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -41, Self-emp-not-inc, 129865, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 157900, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 349341, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 158685, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 386585, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -90, Private, 52386, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K -45, Private, 246891, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -30, Private, 190385, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Private, 37869, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 217807, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -53, Private, 149784, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -64, State-gov, 201293, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -56, Private, 128764, 7th-8th, 4, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 27444, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -26, Private, 62438, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Local-gov, 151726, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -40, Private, 29841, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 131608, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 110562, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 190541, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -62, State-gov, 33142, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -65, Self-emp-inc, 139272, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K -40, Private, 234633, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 238386, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 460835, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K -23, ?, 243190, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K -63, Federal-gov, 97855, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Private, 77146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -37, Private, 200863, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, ?, 41107, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -56, Private, 77415, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 236770, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -53, Federal-gov, 173093, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 1887, 40, Philippines, >50K -32, Private, 235124, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 282604, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 60, United-States, >50K -35, Private, 199288, 11th, 7, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K -51, Private, 191659, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 65, United-States, >50K -19, Private, 43285, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 160837, 11th, 7, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -22, Private, 230574, 10th, 6, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K -23, Private, 176178, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 116358, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K -27, ?, 253873, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -45, Private, 107787, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K -23, Self-emp-not-inc, 519627, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K -21, Private, 191460, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 198282, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -29, Private, 214858, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-not-inc, 64875, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, <=50K -18, Private, 675421, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 134768, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Federal-gov, 207342, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 64830, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -31, Private, 220066, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 14344, 0, 50, United-States, >50K -37, Private, 82521, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -33, Private, 176711, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, England, <=50K -22, ?, 217421, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 111900, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -22, ?, 196943, Some-college, 10, Separated, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -47, Private, 481987, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -67, ?, 184506, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 419, 3, United-States, <=50K -20, ?, 121313, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 158420, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -26, Private, 256000, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K -36, Private, 183892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 44, United-States, >50K -28, Private, 42734, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 181773, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 184945, Some-college, 10, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -33, Private, 107248, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -34, Self-emp-inc, 215382, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 4787, 0, 40, United-States, >50K -25, Private, 122999, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 758700, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3781, 0, 50, Mexico, <=50K -36, State-gov, 166606, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Local-gov, 192060, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, ?, <=50K -74, ?, 340939, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 3471, 0, 40, United-States, <=50K -57, Private, 205708, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K -55, Private, 67450, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, England, <=50K -20, Private, 242077, HS-grad, 9, Divorced, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 129573, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 44, United-States, <=50K -54, Private, 181132, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, England, >50K -25, Private, 212302, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 83411, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -23, ?, 148751, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -17, Private, 317681, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K -39, ?, 103986, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -63, Private, 30602, 7th-8th, 4, Married-spouse-absent, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -19, Private, 172893, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K -56, Self-emp-inc, 211804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -33, Self-emp-not-inc, 312055, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -37, Private, 65390, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 200500, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -36, Local-gov, 241962, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-inc, 78530, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, Canada, >50K -22, Private, 189950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 111387, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1579, 40, United-States, <=50K -20, Private, 241951, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -18, Private, 343059, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 302465, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -53, Private, 156843, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 54, United-States, >50K -21, ?, 79728, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 55284, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -34, Private, 509364, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -32, State-gov, 117927, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 137651, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -70, Private, 131060, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K -57, Private, 346963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 183611, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3137, 0, 50, United-States, <=50K -34, Private, 134737, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 36503, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 250121, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 330535, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -27, Private, 387776, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 41474, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -36, Local-gov, 318972, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 65, United-States, <=50K -33, Private, 86143, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -50, Private, 181139, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 326232, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 2547, 50, United-States, >50K -39, Local-gov, 153976, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 59469, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K -24, Private, 127139, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 136343, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 350624, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, ?, 177351, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2174, 40, United-States, >50K -68, Private, 166149, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 2206, 30, United-States, <=50K -29, Private, 121523, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Self-emp-not-inc, 267396, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 83045, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 160449, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K -55, Self-emp-inc, 124137, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 35, Greece, >50K -20, ?, 287681, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K -41, Private, 154194, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 295127, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K -60, Private, 240521, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -61, Self-emp-not-inc, 244087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -35, Private, 356250, Prof-school, 15, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 35, China, <=50K -42, State-gov, 293791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 44308, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 210527, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, State-gov, 151763, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -39, State-gov, 267581, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 100188, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K -32, Self-emp-inc, 111746, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 171091, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 355645, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 20, Trinadad&Tobago, <=50K -54, Local-gov, 137678, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 70894, Assoc-acdm, 12, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 171306, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 3, United-States, <=50K -31, Private, 100997, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -35, Private, 63921, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -29, Private, 32897, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -29, Local-gov, 251854, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 345121, 10th, 6, Separated, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -46, Private, 86220, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 172845, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 171398, 10th, 6, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 174391, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 207058, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -37, Private, 291251, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 224377, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 105813, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Local-gov, 180916, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -31, Self-emp-not-inc, 122749, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -38, Private, 31069, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K -26, Self-emp-not-inc, 284343, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 319371, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -46, Private, 174224, Assoc-voc, 11, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -69, ?, 183958, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -39, Private, 127772, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 44, United-States, >50K -48, Private, 80651, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -46, Private, 62793, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 191712, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -39, Self-emp-not-inc, 237532, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 54, Dominican-Republic, >50K -50, Federal-gov, 20179, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 311376, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 432565, Assoc-voc, 11, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 40, Canada, >50K -39, Self-emp-inc, 329980, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 60, United-States, >50K -29, Self-emp-not-inc, 125190, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 342946, 11th, 7, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 38, United-States, <=50K -21, ?, 219835, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 123429, 10th, 6, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -69, Self-emp-inc, 69209, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3818, 0, 30, United-States, <=50K -55, Private, 66356, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 195897, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Self-emp-inc, 153132, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 52, United-States, >50K -18, Private, 230875, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -74, Self-emp-not-inc, 92298, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K -40, Private, 185145, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 297296, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -75, ?, 164849, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 1409, 0, 5, United-States, <=50K -55, Private, 145214, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 242341, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -54, Private, 240542, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -36, Private, 104772, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -76, ?, 152802, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -26, Private, 181666, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 415520, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -38, Private, 258761, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 88842, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K -19, ?, 356717, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 158438, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -57, Private, 206206, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 51816, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 253814, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 161745, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 1980, 60, United-States, <=50K -60, Private, 162947, 5th-6th, 3, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Puerto-Rico, <=50K -52, Private, 163027, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -61, Private, 146788, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 73309, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -19, ?, 143867, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 104216, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K -34, Self-emp-not-inc, 345705, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -31, Private, 133770, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -42, Private, 209392, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -70, Private, 262345, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K -47, Private, 277545, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K -47, ?, 174525, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3942, 0, 40, ?, <=50K -29, Private, 490332, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 211570, 11th, 7, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 374918, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 106728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 60, United-States, >50K -28, Private, 173649, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, ?, <=50K -35, Private, 174597, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 233533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -54, ?, 169785, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 133169, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 198824, Assoc-voc, 11, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -65, Private, 174056, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 188696, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 90692, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -34, Private, 271933, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 1741, 45, United-States, <=50K -47, Self-emp-not-inc, 102359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -49, Federal-gov, 213668, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 56, United-States, >50K -21, Private, 294789, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -20, Private, 157599, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -18, Local-gov, 134935, 12th, 8, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 466224, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 111985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 264627, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 213427, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 279015, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -47, Private, 165937, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Federal-gov, 188343, HS-grad, 9, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -63, Private, 158609, Assoc-voc, 11, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 8, United-States, <=50K -34, Private, 193036, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -25, Private, 198632, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -54, Private, 175912, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Male, 914, 0, 40, United-States, <=50K -19, ?, 192773, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 101387, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -24, Private, 60783, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K -26, Private, 183224, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K -59, Local-gov, 100776, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 57600, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -20, Private, 174063, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 306495, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 249741, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 93021, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K -36, Private, 49626, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 63062, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K -55, Private, 320835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Local-gov, 123727, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 21, United-States, <=50K -58, State-gov, 110517, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 4064, 0, 40, India, <=50K -43, Private, 149670, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4064, 0, 15, United-States, <=50K -39, Private, 172425, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -40, Private, 216116, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, Haiti, <=50K -46, Private, 174209, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -54, Federal-gov, 175083, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 129059, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -24, Private, 121313, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, ?, 181317, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, State-gov, 166851, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K -29, Self-emp-not-inc, 29616, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K -56, Self-emp-inc, 105582, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -54, ?, 124993, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -21, ?, 148509, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 230246, 9th, 5, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -56, Private, 117881, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 203408, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -19, Private, 446219, 10th, 6, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 110331, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -48, Private, 207946, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 52, United-States, <=50K -67, ?, 45537, Masters, 14, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, >50K -47, Private, 188330, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K -52, Private, 147629, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -40, Private, 153799, 1st-4th, 2, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K -28, Private, 203776, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 168071, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -57, Private, 348430, 1st-4th, 2, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, Portugal, <=50K -51, Private, 103407, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, ?, 152046, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, Germany, <=50K -36, Private, 153205, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, ?, <=50K -33, Private, 326104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Private, 238162, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 221336, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -33, Private, 180656, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -77, Self-emp-not-inc, 145329, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 401, 0, 20, United-States, <=50K -39, Private, 315776, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 8614, 0, 52, United-States, >50K -67, ?, 150516, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 3, United-States, <=50K -35, Private, 325802, Assoc-acdm, 12, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -23, Private, 133985, 10th, 6, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 269329, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K -41, Private, 183203, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -60, Private, 76127, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K -32, Private, 195891, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -56, Federal-gov, 162137, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -45, State-gov, 37672, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 161708, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -18, Private, 80616, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 27, United-States, <=50K -31, Private, 209276, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, United-States, <=50K -21, ?, 34443, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 192835, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K -23, Private, 203240, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, State-gov, 102308, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 40829, 11th, 7, Never-married, Sales, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K -25, Private, 60726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 30, United-States, <=50K -31, State-gov, 116677, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 57067, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 304906, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -74, Private, 101590, Prof-school, 15, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -27, Private, 258102, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -23, Private, 241185, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 124827, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-inc, 76625, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Federal-gov, 263339, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 135645, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 245626, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -24, Private, 210781, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 235786, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Self-emp-not-inc, 160167, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -52, Federal-gov, 30731, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -34, Private, 314375, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 81528, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -54, Private, 182854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -42, Federal-gov, 296798, 11th, 7, Never-married, Tech-support, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K -32, Private, 194426, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K -40, ?, 70645, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -55, Self-emp-inc, 141807, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -66, ?, 112871, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -52, State-gov, 71344, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 341410, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -33, Private, 118941, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -52, ?, 159755, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 128509, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -27, Self-emp-not-inc, 229125, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 142756, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -27, Self-emp-inc, 243871, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K -47, Private, 213140, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -19, Private, 196857, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 138626, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 161334, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, Nicaragua, <=50K -50, Private, 273536, 7th-8th, 4, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 49, Dominican-Republic, <=50K -32, Private, 115631, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 4101, 0, 50, United-States, <=50K -28, Private, 185957, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 334357, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 96102, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 213226, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K -19, Private, 115248, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -37, Private, 185061, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K -27, Private, 147638, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K -18, Private, 280298, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K -31, Private, 163516, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 277434, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Federal-gov, 206983, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Columbia, <=50K -48, Private, 108993, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 288551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 176069, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, State-gov, 183486, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 56, United-States, >50K -40, Private, 163215, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K -70, Private, 94692, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -20, Private, 118462, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 43, United-States, <=50K -38, Private, 407068, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 75, Mexico, <=50K -37, Self-emp-not-inc, 243587, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 40, Cuba, <=50K -49, Private, 23074, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -51, Private, 237735, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3103, 0, 40, United-States, >50K -43, Private, 188291, 1st-4th, 2, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 284166, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -18, ?, 423460, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K -23, Private, 287681, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K -34, Private, 509364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 139391, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -33, Private, 91964, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 117526, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -64, Private, 91343, Some-college, 10, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 336969, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 28, El-Salvador, <=50K -55, Private, 255364, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Local-gov, 167670, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 211494, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -78, Local-gov, 136198, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 15, United-States, <=50K -27, Federal-gov, 409815, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Private, 188823, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -55, State-gov, 146326, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -42, Private, 154374, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 58, United-States, <=50K -22, ?, 216563, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 197286, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Self-emp-not-inc, 100722, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 5, United-States, <=50K -46, Local-gov, 377622, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 145964, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 358636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 70, United-States, <=50K -47, Private, 155489, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 55, United-States, >50K -18, Private, 57413, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -48, Private, 320421, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Self-emp-not-inc, 174752, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, State-gov, 229364, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -56, Self-emp-not-inc, 157486, 10th, 6, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 92682, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K -56, Federal-gov, 101338, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 132652, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -21, Private, 34616, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -40, Private, 218903, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 204098, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -52, Self-emp-not-inc, 64045, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 45, United-States, >50K -46, Private, 189763, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 26248, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 92079, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 280071, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 224059, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 185520, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K -24, Private, 265567, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -72, Private, 106890, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, State-gov, 39586, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K -42, Private, 153132, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, ?, <=50K -51, Private, 209912, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K -39, Private, 144169, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Local-gov, 50442, Some-college, 10, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 2977, 0, 35, United-States, <=50K -34, Private, 89644, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -19, Private, 275889, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -26, Private, 231638, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Local-gov, 224474, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 4934, 0, 50, United-States, >50K -28, Private, 355259, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -30, Federal-gov, 68330, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -32, Private, 185410, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 87653, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 286853, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -54, Private, 96710, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K -62, Private, 160143, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K -25, Private, 186925, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2597, 0, 48, United-States, <=50K -49, Self-emp-inc, 109705, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -32, Private, 94235, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 225279, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1602, 40, ?, <=50K -37, Local-gov, 297449, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 205896, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 93717, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 45, United-States, >50K -41, Private, 194710, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 236391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -47, State-gov, 189123, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 358677, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K -30, State-gov, 199539, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, <=50K -43, Private, 128170, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -34, Private, 231238, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -57, Private, 296152, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Female, 594, 0, 10, United-States, <=50K -46, Private, 166003, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 281437, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -20, Private, 190231, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 11, Nicaragua, <=50K -47, Private, 122026, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -55, ?, 205527, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -53, Self-emp-not-inc, 174102, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, Greece, >50K -43, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -80, Self-emp-not-inc, 184335, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 211345, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -43, Local-gov, 147328, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K -22, Private, 222993, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 225978, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 121124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -56, ?, 656036, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -34, ?, 346762, 11th, 7, Divorced, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K -51, Private, 234057, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Federal-gov, 306515, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 116562, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 171159, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -24, Private, 199011, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 443508, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, Canada, >50K -24, Private, 29810, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -22, Local-gov, 238831, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Federal-gov, 566117, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 255044, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -20, Private, 436253, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -31, Private, 300687, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -55, Private, 144071, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K -49, State-gov, 133917, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1902, 60, ?, >50K -26, Private, 188767, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 300777, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -35, Private, 26987, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 174395, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 60, Greece, <=50K -59, Private, 90290, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 34, United-States, <=50K -61, Private, 183735, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Private, 123273, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 186916, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -61, Private, 43554, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2339, 40, United-States, <=50K -54, Private, 178251, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -30, Private, 255885, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 64292, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -27, State-gov, 194773, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, Germany, <=50K -44, Self-emp-inc, 133060, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -64, Private, 258006, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K -55, Private, 92215, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 33945, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 6849, 0, 55, United-States, <=50K -61, Private, 153048, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -28, Private, 192200, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K -34, Private, 355571, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 139268, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K -26, Private, 34402, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 25955, 11th, 7, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -36, Private, 209609, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K -47, Private, 168283, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 295488, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -35, Private, 190895, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 164190, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 216010, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 387568, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K -47, State-gov, 188386, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -44, Private, 174491, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -41, Private, 31221, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -30, Private, 272451, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 152652, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -53, Private, 104413, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -40, Private, 105936, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 5013, 0, 20, United-States, <=50K -24, Private, 379066, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2205, 24, United-States, <=50K -27, Private, 214858, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 237735, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 37, Mexico, <=50K -36, Private, 158592, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 237321, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, >50K -41, Private, 23646, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 169240, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Federal-gov, 454508, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 130356, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K -22, Private, 427686, 10th, 6, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Local-gov, 36411, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K -39, Private, 548510, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 30, United-States, <=50K -38, Private, 187264, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, <=50K -35, State-gov, 140752, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 325596, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 175804, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 107302, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -63, Local-gov, 41161, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Private, 401832, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -57, Self-emp-not-inc, 353808, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -58, Self-emp-inc, 349910, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -29, Private, 161478, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K -17, Private, 400225, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 367533, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -69, Self-emp-not-inc, 69306, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K -28, Private, 270366, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 103751, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 75227, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K -45, Local-gov, 132563, Prof-school, 15, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 1726, 40, United-States, <=50K -33, State-gov, 79580, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 344624, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1485, 40, United-States, >50K -37, Self-emp-inc, 186359, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 60, United-States, >50K -50, Private, 121685, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Private, 75104, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, ?, 188343, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 246449, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -21, Private, 85088, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K -37, Private, 545483, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, State-gov, 243986, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -54, Self-emp-not-inc, 32778, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 369114, HS-grad, 9, Separated, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 217200, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 149220, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, ?, 162034, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 157813, 11th, 7, Divorced, ?, Unmarried, White, Female, 0, 0, 58, Canada, <=50K -17, ?, 179715, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 335549, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K -47, Private, 102308, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 367749, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K -25, Private, 98281, 12th, 8, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 43, United-States, <=50K -35, Private, 115792, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -29, Private, 277788, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 103435, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 37646, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 385632, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Self-emp-not-inc, 210278, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 335357, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 272165, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Local-gov, 148995, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -46, Self-emp-not-inc, 113434, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, State-gov, 132551, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -38, Federal-gov, 115433, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 33, United-States, >50K -29, Private, 227890, HS-grad, 9, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 503012, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -56, Private, 250873, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 407930, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 148187, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 159322, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 334368, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 196328, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -45, Private, 270842, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -71, Private, 235079, Preschool, 1, Widowed, Craft-repair, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K -65, ?, 327154, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 188391, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K -19, Federal-gov, 30559, HS-grad, 9, Married-AF-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Local-gov, 255098, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 248010, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 174515, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -90, Private, 171956, Some-college, 10, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K -56, Private, 193130, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K -21, Private, 108670, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 186172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -45, Private, 348854, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 27, United-States, <=50K -46, Private, 271828, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -64, Private, 148606, 10th, 6, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -29, Local-gov, 123983, Masters, 14, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K -22, Private, 24896, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 30, Germany, <=50K -47, Private, 573583, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, Italy, >50K -67, Self-emp-inc, 106175, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 75, United-States, >50K -43, Private, 307767, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 200574, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 59083, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 50, United-States, <=50K -53, Private, 358056, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -81, Private, 114670, 9th, 5, Widowed, Priv-house-serv, Not-in-family, Black, Female, 2062, 0, 5, United-States, <=50K -33, Local-gov, 262042, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 1138, 40, United-States, <=50K -17, Private, 206010, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K -55, Self-emp-inc, 183869, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K -28, Private, 159001, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 155818, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 96055, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -30, Local-gov, 131776, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 228613, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 198163, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 37028, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -30, Private, 177304, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 144064, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 146659, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -63, Self-emp-not-inc, 26904, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, <=50K -23, Private, 238917, 7th-8th, 4, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 36, United-States, <=50K -56, Private, 170148, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 27821, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 220460, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -49, Private, 101320, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 1902, 40, United-States, >50K -35, Private, 173858, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -52, Private, 91048, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -28, Private, 298696, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 207202, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K -21, ?, 230397, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K -43, Self-emp-not-inc, 180599, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -32, ?, 199046, Assoc-voc, 11, Never-married, ?, Unmarried, White, Female, 0, 0, 2, United-States, <=50K -29, Self-emp-not-inc, 132686, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, Italy, >50K -23, Private, 240063, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K -50, Local-gov, 177705, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 48, United-States, <=50K -34, Private, 511361, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 89397, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 239439, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 36989, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 76978, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -75, Private, 200068, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -24, Private, 454941, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, State-gov, 107218, Bachelors, 13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -17, Local-gov, 182070, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -31, Private, 176360, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -31, Private, 452405, Preschool, 1, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, Mexico, <=50K -18, ?, 297396, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K -45, Private, 84790, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -31, Private, 186787, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 42, United-States, <=50K -27, Private, 169662, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -48, Private, 125933, Some-college, 10, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 1669, 38, United-States, <=50K -22, ?, 35448, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 22, United-States, <=50K -34, Private, 225548, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, United-States, <=50K -26, Private, 240842, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 103931, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 232618, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -49, Local-gov, 288548, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -40, Private, 220609, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 26145, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K -23, Private, 268525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -68, ?, 133758, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Male, 0, 0, 10, United-States, <=50K -42, Private, 121264, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 29814, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 85, United-States, <=50K -27, Private, 193701, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 45, United-States, <=50K -38, Private, 183279, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K -27, Private, 163942, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Ireland, <=50K -75, Private, 188612, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 102771, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -27, Private, 85625, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -36, Self-emp-not-inc, 245090, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K -36, Private, 131239, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 45, United-States, >50K -35, Private, 182074, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 187046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 90624, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 37933, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 182177, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 35, United-States, <=50K -61, Private, 716416, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K -29, Private, 190562, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 56, United-States, <=50K -40, State-gov, 141583, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -37, Private, 98941, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -22, Private, 201729, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -43, Self-emp-inc, 175485, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 149168, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 115971, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 161708, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -64, Local-gov, 244903, 11th, 7, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -46, Private, 155664, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 112754, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 178385, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 48, India, <=50K -20, Private, 44064, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K -62, Self-emp-not-inc, 120939, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 165134, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 35, Columbia, <=50K -29, Private, 100405, 10th, 6, Married-civ-spouse, Farming-fishing, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 361888, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Japan, <=50K -39, Local-gov, 167864, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -39, Private, 202950, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 218188, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 32, United-States, <=50K -38, Private, 234962, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2829, 0, 30, Mexico, <=50K -72, ?, 177226, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -31, Private, 259931, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 189528, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -38, Private, 34996, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 112584, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -25, Private, 117589, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, ?, 145234, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -37, Private, 267086, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 52, United-States, <=50K -49, Private, 44434, Some-college, 10, Divorced, Tech-support, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -26, Private, 96130, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 181382, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -44, Self-emp-inc, 168845, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, <=50K -37, Private, 271767, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -42, Private, 194636, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -64, State-gov, 194894, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 4787, 0, 40, United-States, >50K -28, Private, 132686, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Self-emp-not-inc, 185848, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K -40, State-gov, 184378, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Federal-gov, 270859, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 231866, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K -49, Private, 36032, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -51, State-gov, 172962, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 98350, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Philippines, >50K -51, Private, 24185, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 53930, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -24, Private, 85088, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1762, 32, United-States, <=50K -45, Self-emp-not-inc, 94962, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K -28, Private, 480861, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -42, Self-emp-inc, 187702, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K -22, Private, 52262, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, State-gov, 52636, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 175273, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 327825, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 2238, 40, United-States, <=50K -47, Private, 125892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, >50K -40, ?, 78255, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -30, Private, 398827, HS-grad, 9, Married-AF-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K -61, Private, 208919, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -71, Local-gov, 365996, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 6, United-States, <=50K -42, Private, 307638, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Local-gov, 33068, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -46, Self-emp-not-inc, 254291, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -50, Local-gov, 125417, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 52, United-States, >50K -27, State-gov, 28848, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 9, United-States, <=50K -40, ?, 273425, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -21, Private, 194723, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -25, Private, 195118, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -61, Private, 123273, 5th-6th, 3, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1876, 56, United-States, <=50K -54, Private, 220115, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 265706, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 279129, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -39, Self-emp-inc, 122742, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -57, Self-emp-inc, 172654, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 50, United-States, >50K -48, Private, 119199, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -30, Private, 107793, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, >50K -35, Private, 237943, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Self-emp-not-inc, 64632, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Self-emp-not-inc, 96245, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 361494, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -69, Local-gov, 122850, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -29, Private, 173652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 164663, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 98678, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -40, Private, 245529, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 55294, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 140583, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 79797, HS-grad, 9, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K -72, ?, 113044, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 283499, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -41, Local-gov, 51111, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 232475, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 176140, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 301654, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 376455, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -28, ?, 192569, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 229803, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 337639, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 130849, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -32, Private, 296282, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 266645, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -23, State-gov, 110128, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 90196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -40, State-gov, 40024, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -35, Private, 144322, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -74, Self-emp-inc, 162340, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 169069, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 113601, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -20, Self-emp-not-inc, 157145, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 2258, 10, United-States, <=50K -44, Private, 111275, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 56, United-States, <=50K -46, Local-gov, 102076, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -20, ?, 182117, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 145409, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -40, Private, 190122, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 331482, Prof-school, 15, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K -60, Self-emp-not-inc, 170114, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 84, United-States, <=50K -48, Self-emp-inc, 193188, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Local-gov, 267588, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, <=50K -48, Self-emp-inc, 200471, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -22, ?, 175586, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -24, Local-gov, 322658, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, State-gov, 263982, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 266287, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -39, Private, 278187, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, Self-emp-inc, 81413, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2352, 65, United-States, <=50K -22, Private, 221745, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 140764, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 206351, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 176814, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -42, Local-gov, 245307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K -61, State-gov, 124971, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -28, Private, 119545, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 7688, 0, 50, United-States, >50K -18, Private, 179203, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -24, Federal-gov, 44075, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -45, Private, 178319, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K -24, Private, 219754, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 198316, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -20, Private, 168165, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 356838, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 2829, 0, 55, Poland, <=50K -52, Self-emp-inc, 210736, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 173212, Assoc-acdm, 12, Never-married, Farming-fishing, Not-in-family, White, Male, 2354, 0, 45, United-States, <=50K -19, Private, 130431, 5th-6th, 3, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K -35, ?, 169809, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -54, Private, 197481, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 155066, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 31290, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Private, 54102, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 181546, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 153484, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -44, State-gov, 351228, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 131976, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 200639, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Federal-gov, 267546, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -41, Private, 179875, 11th, 7, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K -25, ?, 237865, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, ?, <=50K -43, Private, 300528, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 67716, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 10520, 0, 48, United-States, >50K -48, Federal-gov, 326048, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -60, Private, 191188, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 32172, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 252903, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K -37, Federal-gov, 334314, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 83704, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 160574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K -27, Private, 203776, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Local-gov, 328610, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 295589, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 40, United-States, >50K -40, Private, 174373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 247752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, ?, 199244, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 139992, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 95680, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-inc, 189933, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 498785, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, State-gov, 177526, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -64, Self-emp-not-inc, 150121, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, >50K -56, Federal-gov, 130454, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 119079, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 49, United-States, >50K -33, Private, 220939, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K -33, Private, 94235, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 42, United-States, >50K -21, Private, 305874, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 62020, HS-grad, 9, Widowed, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 235624, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Germany, >50K -43, Local-gov, 247514, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 275726, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -45, Private, 72896, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 110510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -41, Private, 173938, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, ?, >50K -27, Private, 200641, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Mexico, <=50K -53, Private, 211654, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, ?, >50K -38, Private, 242720, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -31, Private, 111567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -41, Private, 179533, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -22, State-gov, 334693, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 198096, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, State-gov, 355756, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 19395, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 35, United-States, <=50K -41, Local-gov, 242586, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 208358, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 99999, 0, 45, United-States, >50K -49, Private, 160647, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -20, Private, 227943, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K -58, Self-emp-not-inc, 197665, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -35, Self-emp-not-inc, 216129, 12th, 8, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K -30, Local-gov, 326104, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 57211, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 100219, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 291192, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, State-gov, 93415, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K -35, Private, 191502, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 261382, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 170230, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -59, Private, 374924, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 320984, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 338320, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Private, 135190, 7th-8th, 4, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -71, Private, 157909, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 2964, 0, 60, United-States, <=50K -33, Private, 637222, 12th, 8, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 430084, HS-grad, 9, Divorced, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -30, Private, 125279, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 221955, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -51, Self-emp-inc, 180195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 208778, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K -62, Private, 81534, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -37, Private, 325538, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 60, ?, <=50K -28, Private, 142264, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, Dominican-Republic, <=50K -23, Private, 128604, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 48, South, <=50K -39, Private, 277886, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K -50, Self-emp-inc, 100029, Bachelors, 13, Widowed, Sales, Unmarried, White, Male, 0, 0, 65, United-States, >50K -31, Private, 169269, 7th-8th, 4, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 160472, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -23, ?, 123983, Bachelors, 13, Never-married, ?, Own-child, Other, Male, 0, 0, 40, United-States, <=50K -47, Private, 297884, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 99131, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -32, Private, 44392, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -82, ?, 29441, 7th-8th, 4, Widowed, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K -49, Private, 199029, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 55, United-States, >50K -74, Federal-gov, 181508, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K -22, Private, 190625, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -32, Private, 194740, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, Greece, <=50K -34, Private, 27380, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -59, Private, 160631, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -36, Private, 224531, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -59, Private, 283005, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 101926, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -53, Local-gov, 135102, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2002, 45, United-States, <=50K -25, Self-emp-not-inc, 113436, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 248973, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 65, United-States, <=50K -57, Self-emp-not-inc, 225334, Prof-school, 15, Married-civ-spouse, Sales, Wife, White, Female, 15024, 0, 35, United-States, >50K -42, Self-emp-not-inc, 157562, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 80, United-States, >50K -58, Local-gov, 310085, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 129597, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, United-States, <=50K -32, ?, 53042, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -45, Private, 204205, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -47, Private, 169324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 35, United-States, >50K -52, ?, 134447, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Self-emp-not-inc, 236731, 1st-4th, 2, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, ?, <=50K -52, Private, 141301, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 235124, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -36, Self-emp-not-inc, 367020, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -41, Private, 149102, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K -30, Private, 423770, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -44, Private, 211759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K -17, ?, 110998, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -34, Private, 56883, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 223062, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 406662, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 206600, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K -42, Local-gov, 147510, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 235646, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K -26, Private, 187577, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -64, Self-emp-inc, 132832, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 20051, 0, 40, ?, >50K -46, Self-emp-inc, 278322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 278924, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -49, State-gov, 203039, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 145651, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -46, Local-gov, 144531, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -30, Private, 91145, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -49, Self-emp-not-inc, 211762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -47, ?, 111563, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 180985, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K -31, Private, 207537, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 1669, 50, United-States, <=50K -19, Private, 417657, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 189890, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 38, United-States, <=50K -34, Private, 223212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, Peru, >50K -26, Private, 108658, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 190023, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 222130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -36, Self-emp-inc, 164866, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 170983, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -30, Private, 186269, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 286026, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 403433, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K -21, ?, 224209, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 30, United-States, <=50K -73, Private, 123160, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -38, Federal-gov, 99527, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 123178, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 231043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Local-gov, 317733, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -58, Private, 241056, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K -34, Local-gov, 220066, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -35, Private, 180342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Federal-gov, 31840, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 183168, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 386036, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -31, Local-gov, 446358, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Mexico, >50K -45, Private, 28035, Some-college, 10, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 282155, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -27, Private, 192384, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 383637, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -29, Private, 457402, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K -34, Self-emp-inc, 80249, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K -32, State-gov, 159537, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 240859, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K -33, Private, 83446, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K -74, ?, 29866, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K -62, Private, 185503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Self-emp-not-inc, 68781, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 220589, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 51136, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -24, Private, 54560, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -76, ?, 28221, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Canada, >50K -25, Private, 201413, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 40425, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -31, Private, 189461, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 41, United-States, <=50K -53, Private, 200576, 11th, 7, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 92691, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 3, United-States, <=50K -47, Private, 664821, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -37, Private, 175130, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -50, Self-emp-not-inc, 391016, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 249315, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -58, Private, 111169, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 334946, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 352248, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 173804, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -56, Private, 155449, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 73689, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -23, Private, 227594, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 38, United-States, <=50K -47, Private, 161676, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -68, Private, 75913, 12th, 8, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -47, Local-gov, 242552, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -45, Federal-gov, 352094, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, Guatemala, >50K -26, Private, 159732, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 131230, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 1590, 40, United-States, <=50K -46, Private, 180695, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 189922, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 409189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -43, Private, 111252, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K -59, Private, 294395, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 172718, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 43403, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 1590, 54, United-States, <=50K -63, Private, 111963, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K -45, Private, 247869, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -59, Private, 114032, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, ?, 356838, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -26, Private, 179633, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 19847, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 231689, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 209942, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 197492, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 262439, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -46, Private, 283037, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -79, ?, 144533, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -31, Private, 83446, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 215443, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Local-gov, 268252, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 62, United-States, <=50K -40, Private, 181015, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 47, United-States, <=50K -41, Self-emp-inc, 139916, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, Other, Male, 0, 2179, 84, Mexico, <=50K -20, Private, 195770, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 26, United-States, <=50K -45, Private, 125194, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 58654, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 252327, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 116508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K -36, Private, 166988, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -25, Private, 374163, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K -30, ?, 96851, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 1719, 25, United-States, <=50K -31, Private, 196788, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 186172, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K -26, Private, 245628, 11th, 7, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 159732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 129856, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 182812, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 3325, 0, 52, Dominican-Republic, <=50K -41, Private, 314322, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 102976, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -57, Self-emp-inc, 42959, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -21, Private, 256356, 11th, 7, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -29, Private, 136277, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 32, United-States, <=50K -36, Private, 284616, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 185554, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -51, Private, 138847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 33487, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 84306, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 50, United-States, <=50K -40, Self-emp-not-inc, 223881, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K -61, Private, 149653, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 348739, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, ?, 235442, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 34506, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 346964, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 192208, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 305874, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, United-States, <=50K -35, Self-emp-not-inc, 462890, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K -39, Private, 89508, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 200153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 179446, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 208965, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Other, Male, 0, 0, 40, Mexico, <=50K -32, Private, 40142, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Self-emp-not-inc, 57452, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 327573, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 151267, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 15024, 0, 40, United-States, >50K -44, Private, 265266, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 203836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, Columbia, <=50K -51, ?, 163998, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 20, United-States, >50K -46, Self-emp-not-inc, 28281, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 293196, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, Iran, >50K -45, Private, 214627, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Male, 15020, 0, 40, Iran, >50K -20, Private, 368852, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 353396, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 161745, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -18, Private, 97963, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -61, Self-emp-inc, 156542, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -50, State-gov, 198103, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 55377, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 173730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Private, 374588, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K -39, Self-emp-not-inc, 174330, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 78141, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -66, ?, 190324, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 18, United-States, <=50K -26, Private, 31350, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 243607, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K -47, Local-gov, 134671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 197023, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -52, Private, 117674, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 169815, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Private, 598606, 9th, 5, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K -42, Federal-gov, 122861, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 166235, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -41, Private, 187821, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K -34, Private, 340940, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 60, United-States, >50K -52, Self-emp-not-inc, 194791, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 231323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 305597, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 25429, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -46, State-gov, 192779, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -39, Private, 346478, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 341368, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, State-gov, 295612, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 168936, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -43, Private, 218558, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -37, Private, 336598, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 36, Mexico, <=50K -23, Private, 308205, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -39, Local-gov, 357173, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 59, United-States, <=50K -54, Private, 457237, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 284799, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 179423, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 363405, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 50, United-States, >50K -17, Private, 139183, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -36, Private, 203482, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 112554, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 99476, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -50, Private, 93690, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 220585, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 194638, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K -53, Private, 154785, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -40, ?, 162108, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -23, Self-emp-inc, 214542, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 161922, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -46, Private, 207940, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -28, Private, 259351, 10th, 6, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K -59, Private, 208395, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 116391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 239781, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -56, Private, 174351, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K -50, Self-emp-not-inc, 44368, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, El-Salvador, >50K -31, Local-gov, 188798, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -41, Private, 50122, Assoc-voc, 11, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 111398, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K -25, State-gov, 152035, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, ?, 139003, HS-grad, 9, Never-married, ?, Other-relative, Other, Female, 0, 0, 12, United-States, <=50K -49, Local-gov, 249289, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 257726, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 113175, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 151158, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K -35, Private, 465326, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 356772, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 364782, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 198385, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, ?, <=50K -31, Private, 329301, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -17, Self-emp-inc, 254859, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 203488, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K -25, Local-gov, 222800, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 96452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -50, Private, 170050, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 116580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K -50, Private, 400004, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -63, Private, 183608, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 194055, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 210443, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 43272, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -43, Local-gov, 108945, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -34, Private, 114691, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -18, Private, 304169, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -46, Private, 503923, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 4386, 0, 40, United-States, >50K -35, Private, 340428, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K -46, State-gov, 106705, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -59, Private, 146391, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K -31, Private, 235389, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, Portugal, <=50K -27, Private, 39665, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -41, Private, 113823, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, <=50K -42, Private, 217826, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, ?, <=50K -55, Private, 349304, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, ?, 197688, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 54507, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 117833, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1669, 50, United-States, <=50K -36, Private, 163396, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -69, Private, 88566, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 1424, 0, 35, United-States, <=50K -33, Private, 323619, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 75755, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 148903, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 16, United-States, >50K -25, Private, 40915, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -21, Private, 182606, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, ?, <=50K -18, Private, 131033, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K -35, Self-emp-not-inc, 168475, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 121568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 139098, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K -46, Private, 357338, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 283268, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -40, Private, 572751, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, Mexico, >50K -40, Private, 315321, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 52, United-States, <=50K -31, Private, 120461, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 65278, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 208503, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 112835, Masters, 14, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 265038, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 89478, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -55, Private, 276229, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -52, Private, 366232, 9th, 5, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K -26, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 205339, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -39, Private, 75995, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -62, Self-emp-not-inc, 192236, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -19, ?, 188618, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -47, Private, 229737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Local-gov, 199688, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 52953, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 221043, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -59, Federal-gov, 115389, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K -45, Self-emp-not-inc, 204205, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -52, Private, 338816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -21, Private, 197387, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 42485, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K -29, Private, 367706, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 102493, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 263746, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K -47, Private, 115358, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 189680, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -32, ?, 282622, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K -34, Private, 127651, 10th, 6, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 44, ?, <=50K -63, Private, 230823, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K -21, Private, 300812, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -18, Private, 174732, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 36, United-States, <=50K -49, State-gov, 183710, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -81, Self-emp-not-inc, 137018, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -36, Self-emp-inc, 213008, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 357848, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 165799, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Self-emp-not-inc, 188571, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -46, Private, 97883, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -43, Local-gov, 105862, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 40, United-States, >50K -39, Local-gov, 57424, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 151476, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 129583, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 16, United-States, <=50K -57, Private, 180920, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -38, Self-emp-not-inc, 182416, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 42, United-States, <=50K -25, Private, 251915, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Local-gov, 187127, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 69045, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K -56, Private, 192869, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 44, United-States, >50K -39, Private, 74163, 12th, 8, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 60847, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -17, ?, 213055, 11th, 7, Never-married, ?, Not-in-family, Other, Female, 0, 0, 20, United-States, <=50K -67, Self-emp-not-inc, 116057, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 3273, 0, 16, United-States, <=50K -41, Private, 82393, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K -24, Local-gov, 134181, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K -51, Private, 159910, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Male, 10520, 0, 40, United-States, >50K -30, Self-emp-inc, 117570, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -47, Self-emp-inc, 214169, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 40, United-States, >50K -56, Private, 56331, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -51, Private, 35576, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -57, Self-emp-not-inc, 149168, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -34, Private, 157165, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 278130, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 257200, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 283122, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 580248, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 230054, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -58, Private, 519006, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K -19, ?, 37332, HS-grad, 9, Never-married, ?, Own-child, White, Female, 1055, 0, 12, United-States, <=50K -19, ?, 365871, 7th-8th, 4, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -68, State-gov, 235882, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 60, United-States, >50K -43, Private, 336513, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K -17, Private, 115551, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -53, State-gov, 50048, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -37, Self-emp-inc, 382802, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 99, United-States, >50K -21, ?, 180303, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 25, ?, <=50K -63, Private, 106023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 332379, Some-college, 10, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 95465, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 96102, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K -27, Private, 36440, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K -25, Self-emp-not-inc, 209384, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 32, United-States, <=50K -28, Private, 50814, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 143865, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -74, ?, 104661, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -31, Local-gov, 50442, Some-college, 10, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K -23, Private, 236601, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -19, Private, 100999, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K -39, ?, 362685, Preschool, 1, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, El-Salvador, <=50K -61, Self-emp-not-inc, 32423, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 22040, 0, 40, United-States, <=50K -59, ?, 154236, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 7688, 0, 40, United-States, >50K -27, Self-emp-inc, 153546, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, United-States, >50K -19, Private, 182355, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -23, ?, 191444, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 44216, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K -40, Private, 97688, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K -53, Private, 209022, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -32, Private, 96016, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -72, Self-emp-not-inc, 52138, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2392, 25, United-States, >50K -61, Private, 159046, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 138634, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 130125, 10th, 6, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 1055, 0, 20, United-States, <=50K -73, Private, 247355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, Canada, <=50K -41, Self-emp-not-inc, 227065, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 244771, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 20, Jamaica, <=50K -23, Private, 215616, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -65, Private, 386672, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K -45, Self-emp-inc, 177543, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -52, Federal-gov, 617021, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Black, Male, 7688, 0, 40, United-States, >50K -24, Local-gov, 117109, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 27, United-States, <=50K -23, Private, 373550, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 19847, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 189590, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 58343, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 56, United-States, <=50K -17, Private, 354201, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 119422, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 363405, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 181863, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K -27, Private, 194472, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -31, Private, 247328, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, Mexico, <=50K -71, Self-emp-not-inc, 130731, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 236910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 378251, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K -36, Private, 120760, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -22, Private, 203182, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 130304, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 48, United-States, <=50K -30, Local-gov, 352542, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 191024, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 197728, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -76, Private, 316185, 7th-8th, 4, Widowed, Protective-serv, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -41, Private, 89226, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 292353, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, United-States, <=50K -45, Private, 304570, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -32, Private, 180296, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 361487, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 218490, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K -63, Self-emp-not-inc, 231777, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 189832, Assoc-acdm, 12, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 232308, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 33308, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 333677, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 170651, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 1055, 0, 40, United-States, <=50K -39, Private, 343403, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 36, United-States, <=50K -53, Private, 166386, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K -26, Federal-gov, 48099, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 143062, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K -18, Private, 104704, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 30497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -44, State-gov, 174325, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 40, United-States, >50K -31, Private, 286675, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 59474, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 378384, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K -43, Private, 245842, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, Mexico, <=50K -33, Private, 274222, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 7688, 0, 38, United-States, >50K -21, Private, 342575, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 30, United-States, <=50K -30, Private, 206051, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 234213, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -57, Private, 145189, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 233490, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 344129, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Self-emp-not-inc, 171315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Self-emp-not-inc, 181485, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K -51, Private, 255412, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, >50K -37, Private, 262409, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 213, 45, United-States, <=50K -45, Private, 199590, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, Mexico, <=50K -47, Private, 84726, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, ?, 226883, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 75, United-States, <=50K -75, Self-emp-not-inc, 184335, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -43, Private, 102025, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, United-States, <=50K -39, Private, 183898, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 60, Germany, >50K -30, Private, 55291, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 150025, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K -44, Private, 100584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 181755, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, >50K -40, Private, 150528, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 107277, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -33, Private, 247205, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, England, <=50K -20, Private, 291979, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 270985, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K -48, Private, 62605, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -46, Self-emp-not-inc, 176863, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 53197, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 267776, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -24, Private, 308205, 7th-8th, 4, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 306383, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -70, Private, 35494, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -26, Private, 291968, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K -34, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K -46, Private, 271828, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -70, Private, 121993, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 5, United-States, <=50K -37, Local-gov, 31023, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 36425, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 407684, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -28, Private, 241895, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1628, 40, United-States, <=50K -44, Self-emp-not-inc, 158555, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -58, Private, 140363, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 30, United-States, <=50K -53, Private, 123429, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 40060, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 290286, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -21, ?, 249271, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 106169, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Private, 76487, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 437994, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K -41, Private, 113555, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 7298, 0, 50, United-States, >50K -36, Private, 160120, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -41, Local-gov, 343079, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1740, 20, United-States, <=50K -27, Private, 406662, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 4416, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 37618, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 114158, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -41, Private, 115562, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 353994, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K -21, Private, 344891, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -44, Private, 286750, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K -29, Private, 194197, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Self-emp-not-inc, 206599, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 22, United-States, <=50K -21, Local-gov, 596776, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Guatemala, <=50K -46, Private, 56841, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 112561, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -43, Private, 147110, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 48, United-States, >50K -54, Self-emp-inc, 175339, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 234901, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K -18, ?, 298133, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 217083, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -30, Private, 97757, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K -30, Private, 151868, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 25864, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K -26, Private, 109419, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -37, Federal-gov, 203070, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -32, Private, 107843, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 50, United-States, >50K -64, State-gov, 264544, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, >50K -18, Private, 148644, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K -30, Private, 125762, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K -36, ?, 53606, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 3908, 0, 8, United-States, <=50K -18, Private, 193741, 11th, 7, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K -27, Private, 588905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 115613, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, State-gov, 222374, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 43, United-States, >50K -37, Private, 185359, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 173647, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 31166, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, Other, Female, 0, 0, 30, Germany, <=50K -22, ?, 517995, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -25, Self-emp-not-inc, 189027, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 296125, HS-grad, 9, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -32, ?, 640383, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 334291, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 318450, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 80, United-States, >50K -29, Private, 174163, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 119721, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 142719, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 162593, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 236852, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Local-gov, 154863, HS-grad, 9, Never-married, Protective-serv, Other-relative, Black, Male, 0, 1876, 40, United-States, <=50K -39, Private, 168894, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -42, Self-emp-not-inc, 344920, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K -39, Private, 33355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 48, United-States, >50K -68, ?, 196782, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -37, Self-emp-inc, 291518, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 55, United-States, >50K -57, Private, 170244, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 369549, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -24, Private, 23438, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, >50K -19, Private, 202673, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 171780, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -37, Local-gov, 264503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 244341, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 209109, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 187392, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, State-gov, 119578, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -51, Private, 195105, HS-grad, 9, Divorced, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 101752, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, <=50K -74, ?, 95825, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K -49, Self-emp-inc, 362654, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -20, ?, 29810, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Federal-gov, 77332, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -80, Private, 87518, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1816, 60, United-States, <=50K -63, Private, 113324, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 96299, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, >50K -51, Private, 237729, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 200973, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 212456, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -33, Self-emp-not-inc, 131568, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 66, United-States, <=50K -49, Private, 185859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -20, Private, 231981, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -33, Self-emp-inc, 117963, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 60, United-States, >50K -26, Private, 78172, Some-college, 10, Married-AF-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 164135, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 171216, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Private, 140664, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 249277, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 75, United-States, <=50K -53, Federal-gov, 117847, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 52372, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, Federal-gov, 95806, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -53, Private, 137428, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -65, Private, 169047, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -68, Private, 339168, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 504725, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 0, 18, Guatemala, <=50K -28, Private, 132870, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -54, Local-gov, 135840, 10th, 6, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 35644, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -22, Private, 198148, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 220098, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 262515, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -19, ?, 423863, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -32, Federal-gov, 111567, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 194096, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 420917, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 197871, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K -46, Local-gov, 253116, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 206535, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -26, State-gov, 70447, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -46, Private, 201217, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 209970, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 196745, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 594, 0, 16, United-States, <=50K -29, Local-gov, 175262, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -51, Self-emp-inc, 304955, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 181265, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K -24, Private, 200973, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 37440, Bachelors, 13, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 395170, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 24, Mexico, <=50K -54, ?, 32385, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 353213, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 38619, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 66, United-States, <=50K -21, Private, 177711, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 190761, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -23, Private, 27776, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 24, United-States, <=50K -37, Federal-gov, 470663, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 71738, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K -57, Private, 74156, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -48, Private, 202467, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 40, United-States, >50K -24, Private, 123983, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -43, Private, 193494, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, ?, 169886, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, ?, <=50K -40, Private, 130571, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 90363, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K -49, Private, 83444, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 239093, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 3137, 0, 40, United-States, <=50K -62, Local-gov, 151369, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 56630, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 117095, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Federal-gov, 189985, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, ?, 34862, Some-college, 10, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 72, United-States, <=50K -37, Self-emp-inc, 126675, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 199806, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 57596, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 103459, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -28, Private, 282398, Some-college, 10, Separated, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, >50K -38, Private, 298841, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -45, Private, 33300, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K -22, ?, 306031, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 306467, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -20, Private, 189888, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 83861, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 117393, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 129934, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -51, Private, 179010, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -31, Private, 375680, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -48, Private, 316101, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 293305, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -51, Local-gov, 175750, HS-grad, 9, Divorced, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 121718, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 48, United-States, >50K -62, ?, 94931, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 40, United-States, <=50K -50, State-gov, 229272, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -46, Private, 142828, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -54, Private, 22743, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 60, United-States, >50K -68, Private, 76371, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K -23, Self-emp-not-inc, 216129, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -49, Private, 107425, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 611029, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Local-gov, 363032, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 170020, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 45, United-States, <=50K -34, Private, 137900, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -22, Private, 322674, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 23778, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 147845, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 31, United-States, <=50K -36, Private, 175759, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-inc, 166459, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 128212, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, >50K -54, Federal-gov, 127455, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K -63, Private, 134699, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -51, Private, 254230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Self-emp-not-inc, 159715, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 116286, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -27, Private, 146719, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 361888, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -31, ?, 26553, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, >50K -46, Self-emp-not-inc, 32825, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 225768, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -26, Federal-gov, 393728, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K -43, Private, 160369, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 191807, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -50, Federal-gov, 176969, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -54, Federal-gov, 33863, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -62, ?, 182687, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 45, United-States, >50K -57, State-gov, 141459, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, ?, 174233, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 24, United-States, <=50K -29, Local-gov, 95393, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -20, Private, 221095, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 104501, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K -18, ?, 437851, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 131230, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 495888, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K -69, Private, 185691, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K -56, Private, 201822, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2002, 40, United-States, <=50K -53, Local-gov, 549341, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, <=50K -28, Private, 247445, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 199566, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-inc, 139057, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 84, Taiwan, >50K -48, Private, 185039, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -61, Private, 166124, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 82649, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 45, United-States, <=50K -48, Private, 109275, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 408328, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 186338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -27, ?, 130856, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 251579, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K -47, Private, 76612, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 22546, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -72, Private, 53684, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 183627, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 73203, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 108426, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 48, England, <=50K -50, Private, 116287, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, Columbia, <=50K -45, Self-emp-inc, 145697, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -52, Private, 326156, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -53, Private, 201127, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -36, Private, 250791, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K -46, Private, 328216, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 400443, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -75, Private, 95985, 5th-6th, 3, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K -32, Local-gov, 127651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 250679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 103950, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 200199, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -46, State-gov, 295791, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -39, Private, 191841, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -38, Private, 82622, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 160728, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -63, Local-gov, 109849, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K -28, Private, 339897, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, Mexico, <=50K -28, ?, 37215, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 45, United-States, <=50K -49, Private, 371299, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -43, Private, 421837, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -38, Private, 29702, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 117381, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 62, England, <=50K -42, ?, 240027, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 338740, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, ?, 28359, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -29, ?, 315026, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Federal-gov, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1741, 45, United-States, <=50K -30, Private, 173005, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 286750, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 163985, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K -30, Private, 219318, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 35, Puerto-Rico, <=50K -42, Private, 44121, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K -52, Self-emp-not-inc, 103794, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -42, Private, 310632, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -39, Private, 153976, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -43, Private, 174575, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -62, Self-emp-not-inc, 82388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 10566, 0, 40, United-States, <=50K -30, Private, 207253, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K -83, ?, 251951, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -39, Private, 746786, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -41, Private, 308296, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 20, United-States, <=50K -49, Private, 101825, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 40, United-States, >50K -25, Private, 109009, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 413363, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K -59, ?, 117751, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -44, State-gov, 296326, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 208358, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 4650, 0, 56, United-States, <=50K -40, Private, 120277, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Ireland, <=50K -21, Private, 193219, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K -41, Private, 86399, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -24, Private, 215251, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -67, Self-emp-not-inc, 124470, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 228649, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K -50, Self-emp-not-inc, 386397, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -48, Private, 96798, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -55, ?, 106707, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 20, United-States, >50K -29, Private, 159768, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 3325, 0, 40, Ecuador, <=50K -50, Private, 139464, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, Ireland, <=50K -64, State-gov, 550848, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 68505, 9th, 5, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 37, United-States, <=50K -20, Private, 122215, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 52, United-States, <=50K -30, Private, 159442, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 80638, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K -52, Private, 192390, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 191324, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 25, United-States, <=50K -77, ?, 147284, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K -19, State-gov, 73009, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K -52, Private, 177858, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 55, United-States, >50K -42, Private, 163003, Bachelors, 13, Married-spouse-absent, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -35, Private, 95551, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -27, Private, 125298, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -54, State-gov, 198186, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -37, Private, 295949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 40, United-States, <=50K -37, Private, 182668, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 124905, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -63, Private, 171635, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 376240, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 42, United-States, <=50K -28, Private, 157391, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, ?, 114357, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 178134, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -31, Private, 207201, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 124483, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, ?, >50K -64, Private, 102103, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -40, Private, 92036, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Local-gov, 236426, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -22, Private, 400966, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 404573, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -35, Private, 227571, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -20, Private, 145917, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -35, Local-gov, 190226, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 356555, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -28, Private, 66473, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, ?, 172256, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -72, ?, 118902, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 2392, 6, United-States, >50K -25, Self-emp-inc, 163039, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 89559, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, ?, 35507, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K -31, Private, 163303, Assoc-voc, 11, Divorced, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K -41, Private, 192712, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 381153, 10th, 6, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 222434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 34706, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 47, United-States, <=50K -57, Self-emp-not-inc, 47857, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 195216, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -44, Self-emp-inc, 103643, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 60, Greece, <=50K -29, Local-gov, 329426, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 183612, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -40, Private, 184105, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 211385, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 35, Jamaica, <=50K -21, Private, 61777, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -34, Self-emp-not-inc, 320194, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, >50K -24, Private, 199444, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 15, United-States, <=50K -28, Private, 312588, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 168675, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 87556, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, State-gov, 220421, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Federal-gov, 404599, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 99065, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Poland, >50K -57, Local-gov, 109973, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 246652, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 57423, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 291248, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 163708, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 240358, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 25955, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -44, Private, 101593, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Self-emp-not-inc, 227890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -31, Private, 225053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 228472, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -34, Private, 245378, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -50, Self-emp-inc, 156623, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7688, 0, 50, Philippines, >50K -27, Private, 35032, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 258849, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 190115, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 63910, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -40, Private, 510072, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -28, Private, 210867, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 263024, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 306785, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 104333, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -66, Private, 340734, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 288585, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K -38, Private, 241765, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -25, Private, 111058, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 104662, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 22, United-States, <=50K -90, Private, 313986, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 52037, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, ?, 146589, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 131776, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 914, 0, 40, Germany, <=50K -33, Private, 254221, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 152909, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K -39, Self-emp-not-inc, 211785, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -59, Private, 160362, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 387215, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 1719, 16, United-States, <=50K -39, Private, 187046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 38, United-States, <=50K -19, ?, 208874, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 169631, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 202956, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 80467, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -28, Private, 407672, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 243425, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 50, Peru, <=50K -50, ?, 174964, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K -36, Private, 347491, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 146161, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 449432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 175499, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -33, Private, 288825, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2258, 84, United-States, <=50K -27, Local-gov, 134813, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 52, United-States, <=50K -31, Local-gov, 190401, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 260617, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 36, United-States, <=50K -31, Private, 45604, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, <=50K -59, Private, 67841, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Local-gov, 244522, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 48, United-States, >50K -19, Private, 430471, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 194698, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 94235, Bachelors, 13, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 188330, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 78, United-States, <=50K -51, Local-gov, 146181, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 177125, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -30, Self-emp-inc, 68330, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 95636, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 238329, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -52, Private, 416129, Preschool, 1, Married-civ-spouse, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K -23, Private, 285004, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K -90, ?, 256514, Bachelors, 13, Widowed, ?, Other-relative, White, Female, 991, 0, 10, United-States, <=50K -25, Private, 186294, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Private, 188786, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -38, State-gov, 31352, Some-college, 10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K -22, Private, 197613, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -33, Local-gov, 161942, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 1055, 0, 40, United-States, <=50K -34, Private, 275438, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K -65, Private, 361721, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -50, Private, 144968, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, United-States, <=50K -29, Private, 190539, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 6849, 0, 48, United-States, <=50K -25, Private, 178037, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 306985, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 87928, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 242619, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 154165, 9th, 5, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 511331, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -65, Local-gov, 221026, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -56, Self-emp-not-inc, 222182, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, <=50K -39, Self-emp-not-inc, 126569, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -23, Private, 202344, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 190423, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 238917, 5th-6th, 3, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K -41, Private, 221947, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -40, Self-emp-inc, 37997, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 147098, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 278253, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -23, Private, 195411, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 76196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 120131, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -20, Self-emp-not-inc, 186014, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, Germany, <=50K -29, Private, 205903, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 125405, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 219838, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, State-gov, 19395, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -31, Private, 223327, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 114062, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 95654, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, Iran, >50K -38, Private, 177305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -66, ?, 299616, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 117681, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 237651, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -33, State-gov, 150570, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, State-gov, 106705, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 50, United-States, <=50K -20, ?, 174714, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Self-emp-inc, 175958, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K -33, Private, 144064, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -66, ?, 107112, 7th-8th, 4, Never-married, ?, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K -20, Private, 54152, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, ?, <=50K -28, Private, 152951, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 190487, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 28, Ecuador, <=50K -25, Private, 306666, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 45, United-States, <=50K -37, Private, 195148, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 3137, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 226624, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 157569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, State-gov, 22966, Some-college, 10, Married-spouse-absent, Tech-support, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -52, Private, 379682, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, >50K -29, Private, 446559, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K -18, Private, 41794, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -31, Local-gov, 90409, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 125491, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Vietnam, <=50K -27, ?, 129661, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K -54, Self-emp-not-inc, 104748, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -50, Local-gov, 169182, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 49, Dominican-Republic, <=50K -46, Private, 324655, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, ?, >50K -24, Private, 122272, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K -17, ?, 114798, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K -49, Self-emp-inc, 289707, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -54, Local-gov, 137691, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 84610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K -49, Private, 166789, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 348728, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 348092, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, Haiti, <=50K -63, Private, 154526, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, Private, 288371, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K -23, Private, 182342, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 244366, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 102423, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K -25, Private, 259688, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 98733, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 174856, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2885, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 141797, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 327202, 12th, 8, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 76996, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -34, Private, 260560, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 370990, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 129010, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K -21, Private, 452640, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -76, Self-emp-inc, 120796, 9th, 5, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Federal-gov, 45334, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 70, ?, <=50K -26, Private, 229523, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 56, United-States, <=50K -18, Private, 127388, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -18, ?, 395567, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 119422, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1672, 50, United-States, <=50K -59, Private, 193895, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 163083, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K -33, Self-emp-not-inc, 155343, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K -25, Private, 73895, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -48, Private, 107682, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -64, Private, 321166, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K -47, Local-gov, 154940, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -26, Private, 103700, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 63509, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -21, Private, 243842, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, ?, 187221, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 58597, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 44, United-States, <=50K -41, Self-emp-not-inc, 190290, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, ?, 158352, Masters, 14, Never-married, ?, Not-in-family, White, Female, 8614, 0, 35, United-States, >50K -34, Private, 62165, Some-college, 10, Never-married, Sales, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K -20, ?, 307149, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 280134, 10th, 6, Never-married, Sales, Not-in-family, White, Male, 0, 0, 49, El-Salvador, <=50K -26, Private, 118736, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 171114, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -35, Private, 169638, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -41, Private, 125461, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -33, Private, 145434, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 152182, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -27, Self-emp-inc, 233724, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -32, Private, 153963, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -51, Local-gov, 88120, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 96330, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -41, Local-gov, 66118, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 182178, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 53628, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -54, Private, 174865, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -30, Private, 66194, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Outlying-US(Guam-USVI-etc), <=50K -31, Private, 73796, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -26, State-gov, 28366, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -75, Self-emp-not-inc, 231741, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4931, 0, 3, United-States, <=50K -29, Private, 237865, Masters, 14, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -61, Private, 195453, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 116934, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -22, ?, 87867, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 456399, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 263608, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 263498, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 183765, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, <=50K -27, Federal-gov, 469705, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 1980, 40, United-States, <=50K -39, Local-gov, 113253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -20, Private, 138768, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 302146, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -68, Private, 253866, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -28, Federal-gov, 214858, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K -43, Private, 243476, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 169104, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 103218, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 57233, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 228320, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -20, Private, 217421, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 185041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, >50K -27, Self-emp-not-inc, 37302, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 70, United-States, >50K -32, Private, 261059, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 59767, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 333541, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -20, Private, 133352, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -36, Private, 99270, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 204629, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 34104, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K -32, Private, 312667, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -49, Private, 329603, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -36, Private, 281021, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 275385, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -52, Federal-gov, 129177, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 385591, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -22, ?, 201179, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -72, Private, 38360, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -30, Local-gov, 73796, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 67671, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 257621, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -22, Private, 180052, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -59, Private, 656036, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -46, Private, 215943, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 488720, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -64, Federal-gov, 199298, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, Puerto-Rico, <=50K -31, Private, 305692, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K -64, Private, 114994, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 88265, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 168569, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K -32, Private, 175413, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K -43, Private, 161226, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -66, ?, 160995, 10th, 6, Divorced, ?, Not-in-family, White, Female, 1086, 0, 20, United-States, <=50K -23, Private, 208598, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -49, Self-emp-not-inc, 200471, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 256609, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -49, Private, 176684, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 206512, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 212640, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 85, United-States, <=50K -47, Private, 148724, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 266510, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 240252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 358975, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -20, ?, 124242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 434710, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -25, Private, 204338, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 30, ?, <=50K -46, Private, 241844, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 191342, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K -41, Private, 221947, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K -44, Private, 111483, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 1504, 50, United-States, <=50K -30, Private, 65278, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 133403, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 166416, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K -58, ?, 142158, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -21, Private, 221480, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 25, Ecuador, <=50K -35, Self-emp-not-inc, 189878, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 278403, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K -19, Private, 184710, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -48, Private, 177775, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, ?, 275943, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K -65, Self-emp-not-inc, 225473, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 289403, Bachelors, 13, Separated, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K -26, Private, 269060, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 449354, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 214413, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 80058, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 202027, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K -22, Self-emp-not-inc, 123440, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -37, Private, 191524, Assoc-voc, 11, Separated, Prof-specialty, Own-child, White, Female, 0, 0, 38, United-States, <=50K -25, Private, 308144, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -64, Private, 164204, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 53, ?, <=50K -46, Private, 205100, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -30, Private, 195750, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 27, United-States, <=50K -63, Private, 149756, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -51, Local-gov, 240358, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -68, Self-emp-not-inc, 241174, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K -36, Private, 356838, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Canada, <=50K -28, Self-emp-inc, 115705, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Local-gov, 137142, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 296066, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 401335, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -33, ?, 182771, Bachelors, 13, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 80, Philippines, <=50K -34, Self-emp-inc, 186824, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -46, Federal-gov, 162187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 98010, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 172538, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -18, Private, 80163, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -33, Local-gov, 43959, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -51, Private, 162632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K -56, Self-emp-not-inc, 115422, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -54, Private, 100933, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 270379, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 20109, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 84, United-States, <=50K -53, Private, 114758, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K -22, Private, 100345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -33, Private, 184901, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 87239, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -63, Private, 127363, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 12, United-States, <=50K -53, Federal-gov, 199720, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, Germany, >50K -37, Private, 143058, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Federal-gov, 36489, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 141698, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 26358, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 195532, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K -21, Private, 30039, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 125159, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K -20, Private, 246250, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 77370, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 355569, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -32, Private, 180603, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 201785, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 256211, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -27, Private, 146764, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -22, ?, 211968, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Iran, <=50K -29, Private, 200515, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K -29, Private, 52636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 27049, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 111128, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 348038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, Puerto-Rico, >50K -33, Private, 93930, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -67, Private, 397831, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1539, 40, United-States, <=50K -46, Private, 33794, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, <=50K -45, Private, 178215, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K -17, Local-gov, 191910, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 340110, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 70, United-States, >50K -48, Self-emp-not-inc, 133694, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, Jamaica, >50K -49, Private, 148398, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 133515, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 181667, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 46, Canada, <=50K -64, Private, 159715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -53, Federal-gov, 174040, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 117700, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 37215, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -32, Self-emp-inc, 46807, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K -48, Self-emp-not-inc, 317360, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K -30, Private, 425627, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -34, Private, 82623, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -19, ?, 63574, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 140854, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 185061, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 160118, 12th, 8, Never-married, Sales, Not-in-family, White, Female, 0, 0, 10, ?, <=50K -54, Private, 282680, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -24, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1762, 40, United-States, <=50K -25, Private, 198163, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 132749, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -48, Local-gov, 31264, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 5178, 0, 40, United-States, >50K -24, Private, 399449, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 27494, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, <=50K -47, Private, 368561, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 102096, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K -19, Private, 406078, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -52, Self-emp-inc, 100506, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -52, Private, 29658, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 20469, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 12, South, <=50K -60, Private, 181953, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 28, United-States, <=50K -43, Private, 304175, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 170070, Assoc-acdm, 12, Divorced, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -20, ?, 193416, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 194908, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 357962, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 214716, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -40, Self-emp-inc, 207578, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Private, 146409, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 341643, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -52, Private, 131631, 11th, 7, Separated, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 88842, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -56, ?, 128900, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 417136, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 336763, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 880, 42, United-States, <=50K -29, Private, 209301, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K -29, Private, 120986, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K -27, Private, 51025, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 218281, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K -64, Private, 114994, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 18, United-States, <=50K -53, Private, 335481, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 32, United-States, <=50K -21, Private, 174503, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -40, Self-emp-not-inc, 230478, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -52, State-gov, 149650, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K -38, Private, 149419, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -40, ?, 341539, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -39, Private, 185099, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, ?, 132930, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -68, Private, 128472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -24, Private, 124971, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -40, Self-emp-inc, 344060, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Self-emp-inc, 286750, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 99, United-States, >50K -38, Private, 296999, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -45, Private, 123681, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 232024, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 55, United-States, <=50K -57, Local-gov, 52267, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 119182, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -25, Private, 191230, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Yugoslavia, <=50K -52, Federal-gov, 23780, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 184553, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -26, Self-emp-inc, 242651, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -19, Private, 246226, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Self-emp-inc, 86745, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -25, Private, 106889, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K -21, Private, 460835, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -48, Self-emp-not-inc, 213140, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K -33, State-gov, 37070, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Canada, <=50K -31, State-gov, 93589, HS-grad, 9, Divorced, Protective-serv, Own-child, Other, Male, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 213258, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 65, United-States, <=50K -37, State-gov, 46814, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -29, ?, 168873, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 284737, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 309620, Some-college, 10, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 60, ?, <=50K -49, Private, 197418, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -73, ?, 132737, 10th, 6, Never-married, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K -49, Private, 185041, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -51, Private, 159604, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -40, Private, 123557, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 275421, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 167147, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K -41, Private, 197583, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -46, Private, 175109, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, >50K -46, Private, 117502, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -64, Private, 180401, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Self-emp-not-inc, 146603, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -53, State-gov, 143822, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K -21, Private, 51985, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, State-gov, 48121, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K -37, Private, 234807, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 7430, 0, 45, United-States, >50K -39, Federal-gov, 65324, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -30, Private, 302149, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -25, Private, 168403, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -26, Private, 159897, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 416338, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -59, Private, 370615, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -27, Private, 219371, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Jamaica, <=50K -55, Private, 120970, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -20, Private, 22966, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, Canada, <=50K -25, Private, 34541, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, Canada, <=50K -28, Private, 191027, Assoc-acdm, 12, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 107458, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 121832, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Local-gov, 233825, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K -25, Private, 73839, 11th, 7, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 109165, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -50, State-gov, 103063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 29762, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 5013, 0, 70, United-States, <=50K -46, Private, 111979, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K -35, Private, 150125, Assoc-voc, 11, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, ?, 301853, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, ?, 296738, 11th, 7, Separated, ?, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K -40, Private, 118001, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 149337, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 36601, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Local-gov, 118600, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 625, 40, United-States, <=50K -39, Private, 279272, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -35, Private, 181020, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K -52, Private, 165998, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 218136, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K -20, Self-emp-inc, 182200, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 39363, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 10, ?, <=50K -24, Private, 140001, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 193260, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, India, <=50K -21, Private, 191243, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Federal-gov, 207887, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 50, United-States, <=50K -43, Federal-gov, 211450, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 184759, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K -47, Private, 197836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -61, Private, 232308, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -21, ?, 189888, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 301614, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K -60, Private, 146674, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 225291, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Local-gov, 148509, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 35, India, <=50K -56, Private, 136413, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 126060, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 73064, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 35, United-States, <=50K -19, Private, 39026, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -28, Self-emp-not-inc, 33035, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -43, Private, 193494, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Local-gov, 147440, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -22, ?, 153131, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 64671, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -35, Self-emp-not-inc, 225399, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 8614, 0, 40, United-States, >50K -20, Private, 174391, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 377757, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -30, Local-gov, 364310, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, Germany, <=50K -31, Private, 110643, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 70240, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, Philippines, <=50K -57, State-gov, 32694, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 95047, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 44, United-States, >50K -33, Private, 264936, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 367329, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 56026, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -22, Private, 186452, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -50, Private, 125417, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 242082, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -37, Private, 31023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, <=50K -40, ?, 397346, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 424079, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -38, Self-emp-not-inc, 108947, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K -25, State-gov, 261979, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 55507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -22, ?, 291407, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 353358, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -41, Private, 67339, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K -33, Private, 235109, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 208180, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, State-gov, 423561, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 145290, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K -24, Private, 403671, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 49325, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 370494, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -25, Private, 267012, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 191856, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 80445, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 379798, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Local-gov, 168387, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 301948, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 34095, 0, 3, United-States, <=50K -36, Private, 274809, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -58, Private, 233193, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K -34, Private, 299635, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -19, Private, 236396, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 688355, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 37019, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 148015, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 15024, 0, 40, United-States, >50K -43, Private, 122975, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 21, Trinadad&Tobago, <=50K -52, State-gov, 349795, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 229846, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -43, Private, 108945, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -22, Private, 237498, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 188872, 5th-6th, 3, Divorced, Transport-moving, Unmarried, White, Male, 6497, 0, 40, United-States, <=50K -37, Private, 324019, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 82488, Some-college, 10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 38, United-States, <=50K -54, Private, 206964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 37088, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 152540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -65, Private, 143554, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -30, Private, 126242, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 127185, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 164018, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 50, United-States, <=50K -25, Private, 210184, 11th, 7, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, ?, 117528, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K -47, Private, 124973, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -23, Private, 182117, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 220049, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -39, Self-emp-not-inc, 247975, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K -55, Private, 50164, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -24, State-gov, 123160, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, China, <=50K -46, Self-emp-inc, 219962, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, ?, >50K -53, Private, 79324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 129100, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K -40, Private, 210275, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 189462, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -26, Private, 171114, Assoc-voc, 11, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -22, Private, 201799, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, ?, 200426, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 12, United-States, <=50K -20, ?, 24395, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -43, Private, 191149, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Local-gov, 34173, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 350979, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K -41, Private, 147314, HS-grad, 9, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K -38, Private, 136081, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -77, ?, 232894, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 373403, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 120601, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 130926, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K -32, Federal-gov, 72338, Assoc-voc, 11, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -27, Private, 129624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, State-gov, 328697, Some-college, 10, Divorced, Protective-serv, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 191196, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 191117, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -49, Private, 110243, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -17, Private, 181580, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -29, Private, 89030, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 345493, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 55, Taiwan, >50K -24, Self-emp-not-inc, 277700, Some-college, 10, Separated, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K -58, ?, 198478, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -29, Private, 250679, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 168837, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 24, Canada, >50K -30, Private, 142675, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 299050, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -59, Private, 107833, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1485, 40, United-States, >50K -47, Private, 121958, 7th-8th, 4, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -41, Private, 282948, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 3137, 0, 40, United-States, <=50K -28, Private, 176683, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, France, <=50K -46, Private, 34377, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 209833, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -66, State-gov, 41506, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 125159, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 14084, 0, 45, ?, >50K -44, Self-emp-not-inc, 147206, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 12, United-States, <=50K -58, Self-emp-not-inc, 93664, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -21, Private, 315065, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 48, Mexico, <=50K -59, Private, 381851, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Local-gov, 185769, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 186272, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 5178, 0, 40, United-States, >50K -30, Private, 312667, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 343925, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K -26, Private, 195994, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -48, Private, 398843, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -31, Private, 73514, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -36, Private, 288049, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -48, Private, 54759, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -30, Private, 155343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -33, Private, 401104, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K -19, ?, 124884, 9th, 5, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -37, Local-gov, 287306, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 99999, 0, 40, ?, >50K -53, Private, 113995, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -18, Private, 146378, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, ?, <=50K -38, Private, 111499, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K -34, Private, 34374, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 162187, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -33, Local-gov, 147654, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -35, Private, 182467, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 44, United-States, <=50K -22, Private, 183970, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 332588, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -45, Private, 26781, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 8, United-States, <=50K -17, Private, 48610, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 162632, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Local-gov, 91711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 198003, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K -46, Private, 179048, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, ?, <=50K -25, Private, 262778, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 6849, 0, 50, United-States, <=50K -64, Private, 102470, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 123170, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K -32, Private, 164243, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K -17, Private, 262511, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -61, Private, 51170, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -40, State-gov, 91949, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 123727, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 173175, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -35, Self-emp-not-inc, 120301, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Federal-gov, 285432, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 36235, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, ?, 317219, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K -51, Local-gov, 110965, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 123283, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K -20, ?, 249087, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 152940, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 376680, HS-grad, 9, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -56, Private, 231232, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Canada, <=50K -55, Self-emp-not-inc, 168625, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 12, United-States, >50K -26, Private, 33939, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K -46, Private, 155659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K -32, Local-gov, 190228, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 216178, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 587310, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Guatemala, <=50K -23, Private, 155919, 9th, 5, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -59, Private, 227386, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 138152, 12th, 8, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 48, Guatemala, <=50K -36, Private, 167482, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 57957, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -33, Private, 157747, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -60, Self-emp-not-inc, 88570, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 15, Germany, >50K -40, Private, 273308, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, Mexico, <=50K -48, Private, 216292, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 43, United-States, <=50K -27, Self-emp-not-inc, 131298, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -19, Private, 386378, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -38, Private, 179668, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 210812, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -45, Federal-gov, 311671, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K -20, Private, 215247, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -32, Federal-gov, 125856, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 74631, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 13, United-States, <=50K -22, Private, 24008, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, State-gov, 354591, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 114, 0, 38, United-States, <=50K -34, Private, 155343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K -46, Private, 308334, 1st-4th, 2, Widowed, Other-service, Unmarried, Other, Female, 0, 0, 30, Mexico, <=50K -39, Private, 245361, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -79, Self-emp-not-inc, 158319, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -60, ?, 204486, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K -24, Private, 314823, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Dominican-Republic, <=50K -31, Private, 211334, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 65, United-States, <=50K -37, Self-emp-not-inc, 73199, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 3137, 0, 77, Vietnam, <=50K -23, Private, 126550, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 260782, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 45, El-Salvador, <=50K -29, Private, 114224, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -22, State-gov, 64292, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 43, United-States, <=50K -69, ?, 628797, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -55, Local-gov, 219775, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -43, Private, 212894, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 260019, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, Other, Male, 0, 0, 36, Mexico, <=50K -29, Private, 228075, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K -22, Private, 239806, Assoc-voc, 11, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -22, Private, 324637, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -25, Private, 163620, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 84, United-States, >50K -29, Private, 194200, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K -25, State-gov, 129200, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -33, Federal-gov, 207172, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 135312, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -31, Private, 100734, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -30, Local-gov, 226443, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 45, United-States, >50K -55, Private, 110871, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 192704, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K -47, ?, 224108, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 78870, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -42, Private, 107762, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 183611, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, Germany, <=50K -62, Local-gov, 249078, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -65, Self-emp-inc, 208452, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K -23, Private, 302195, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, ?, 199947, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K -47, Private, 379118, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K -50, Self-emp-inc, 174855, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -70, ?, 173736, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -32, Self-emp-not-inc, 39369, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Federal-gov, 196348, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 340917, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 14344, 0, 40, United-States, >50K -76, Private, 97077, 10th, 6, Widowed, Sales, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K -54, Private, 200098, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K -32, Federal-gov, 127651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 315128, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -31, Federal-gov, 206823, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -65, Self-emp-not-inc, 316093, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1668, 40, United-States, <=50K -30, Private, 112115, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, Ireland, >50K -63, ?, 203821, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 250051, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K -40, Federal-gov, 298635, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Philippines, >50K -26, State-gov, 109193, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 130849, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K -34, Local-gov, 43959, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -66, Local-gov, 222810, Some-college, 10, Divorced, Other-service, Other-relative, White, Female, 7896, 0, 40, ?, >50K -44, Self-emp-not-inc, 27242, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 53158, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 206520, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 164190, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 287988, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -28, ?, 200819, 7th-8th, 4, Divorced, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K -23, Private, 83891, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -49, Private, 65087, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -39, Self-emp-not-inc, 363418, Bachelors, 13, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -67, ?, 182378, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 60, United-States, >50K -19, Private, 278870, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -30, Private, 174789, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 50, United-States, >50K -25, Private, 228608, Some-college, 10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Cambodia, <=50K -24, Private, 184400, HS-grad, 9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, ?, <=50K -46, Private, 263568, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 117381, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Federal-gov, 83411, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 49156, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -44, Private, 421449, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 238944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 188982, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 20, United-States, >50K -48, Private, 175925, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -34, Private, 164190, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 232914, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 120121, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Local-gov, 180805, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 161944, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -29, Private, 319149, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K -50, ?, 22428, Masters, 14, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 290528, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 123984, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K -48, Private, 34186, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -51, Federal-gov, 282680, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 70, United-States, >50K -36, Private, 183892, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K -42, Local-gov, 195124, 11th, 7, Divorced, Sales, Unmarried, White, Male, 7430, 0, 50, Puerto-Rico, >50K -49, State-gov, 55938, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 209900, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K -40, Private, 179717, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1564, 60, United-States, >50K -26, Private, 150361, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -69, ?, 164102, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -59, Private, 252714, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, Italy, <=50K -30, Private, 205204, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Local-gov, 168906, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 112115, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 116531, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 202994, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K -56, Private, 191917, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 4101, 0, 40, United-States, <=50K -24, Private, 341294, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 216734, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -51, Private, 182187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -34, Private, 424988, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 379118, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 9, United-States, <=50K -47, Private, 168232, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K -20, Private, 147171, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -34, Self-emp-inc, 207668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 54, ?, >50K -31, Private, 193650, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 200187, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -52, Private, 188644, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -56, Private, 398067, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 29658, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 154966, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -81, Private, 364099, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -28, ?, 291374, 10th, 6, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -57, Federal-gov, 97837, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -34, Private, 117983, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, ?, 345497, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 64167, Assoc-voc, 11, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 315877, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 2001, 40, United-States, <=50K -68, Federal-gov, 232151, Some-college, 10, Divorced, Adm-clerical, Other-relative, Black, Female, 2346, 0, 40, United-States, <=50K -60, Private, 225526, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -37, Federal-gov, 289653, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 179462, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Federal-gov, 67317, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 77764, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 253438, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Private, 150309, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -47, Self-emp-not-inc, 83064, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -60, Self-emp-not-inc, 376973, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K -75, Private, 311184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K -43, Local-gov, 159449, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 168288, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 1092, 40, Philippines, <=50K -20, Private, 275190, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 189838, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -57, Self-emp-inc, 101338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 331894, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -18, Self-emp-not-inc, 40293, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 88904, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 145041, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Dominican-Republic, <=50K -35, Private, 46385, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 90, United-States, >50K -41, State-gov, 363591, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 183327, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 1594, 20, United-States, <=50K -32, State-gov, 182556, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 45, United-States, >50K -33, Private, 267859, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K -58, Private, 190747, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 162869, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 65, United-States, <=50K -33, Private, 141229, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -42, Self-emp-not-inc, 174216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -25, Private, 366416, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 172538, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 193026, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 184424, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1902, 38, United-States, >50K -49, Local-gov, 337768, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Local-gov, 179059, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Federal-gov, 99549, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 72619, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -42, State-gov, 55764, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 30267, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -25, Private, 308144, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -29, Private, 206351, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -26, Private, 282304, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -26, ?, 176077, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 142719, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 114973, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -33, Federal-gov, 159548, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 91209, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 196564, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -51, Self-emp-not-inc, 149220, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K -21, Private, 169699, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 218215, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 156718, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 55720, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Self-emp-inc, 257250, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 194630, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 398931, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 50, United-States, >50K -37, Self-emp-not-inc, 362062, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -44, Local-gov, 101593, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 42, United-States, <=50K -33, Private, 196266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Local-gov, 197332, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 97842, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 86837, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, United-States, >50K -17, Private, 57324, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -43, Private, 116852, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, Portugal, >50K -45, Private, 154430, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K -37, Private, 38468, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Local-gov, 188808, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Local-gov, 177163, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 914, 0, 50, United-States, <=50K -41, Private, 187322, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 107578, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 40, United-States, <=50K -38, Private, 168680, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 256755, Bachelors, 13, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K -35, Private, 360799, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -18, Private, 188476, 11th, 7, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Private, 30457, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 252752, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -41, Self-emp-not-inc, 443508, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 244408, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 24, Vietnam, <=50K -41, Private, 178983, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 143068, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 50, United-States, <=50K -30, Local-gov, 247328, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 201732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 246829, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, ?, 290267, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K -29, Private, 119170, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 207923, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -48, State-gov, 170142, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-not-inc, 187164, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -34, Local-gov, 303867, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 291429, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 213179, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K -31, State-gov, 111843, Assoc-acdm, 12, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 297154, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2407, 0, 40, United-States, <=50K -47, Federal-gov, 68493, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -46, Federal-gov, 340718, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 194059, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 47296, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 20, United-States, <=50K -28, State-gov, 286310, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 207202, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K -33, Self-emp-inc, 132601, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -17, ?, 139183, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K -41, Private, 160785, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 117849, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -38, Local-gov, 225605, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, <=50K -24, Private, 190290, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 164799, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Federal-gov, 21876, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -44, Private, 160785, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -63, Self-emp-inc, 272425, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 168538, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -45, Self-emp-inc, 204205, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 142287, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, United-States, >50K -36, Private, 169926, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Local-gov, 205024, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 8, United-States, <=50K -41, Private, 374764, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 108779, Masters, 14, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 293136, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -60, Private, 227332, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Local-gov, 246308, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, Puerto-Rico, <=50K -28, Private, 51331, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 16, United-States, >50K -31, Private, 153078, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, Other, Male, 0, 0, 50, United-States, <=50K -47, Private, 169180, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -45, Self-emp-not-inc, 193451, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 305147, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 138892, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 402397, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 60, United-States, >50K -34, Private, 223267, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 29250, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -51, ?, 203953, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -46, State-gov, 29696, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 315640, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 40, China, >50K -37, Private, 632613, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, Mexico, <=50K -56, Private, 282023, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 77760, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Self-emp-not-inc, 148599, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -55, Private, 414994, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 339863, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 48, United-States, >50K -34, Private, 499249, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -45, ?, 144354, 9th, 5, Separated, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 252058, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 99543, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -34, Private, 117963, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 194652, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 299705, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 37, United-States, <=50K -19, Federal-gov, 27433, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -47, Local-gov, 39986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 135342, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 270142, Assoc-voc, 11, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K -33, Self-emp-not-inc, 118267, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -29, Private, 266043, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 35633, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 74568, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 214816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -43, Private, 222971, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -31, Private, 259425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Self-emp-inc, 212120, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 245880, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -58, Local-gov, 54947, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -47, Self-emp-inc, 79627, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K -55, Private, 151474, Bachelors, 13, Never-married, Tech-support, Other-relative, White, Female, 0, 1590, 38, United-States, <=50K -26, Private, 132661, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 5013, 0, 40, United-States, <=50K -28, Private, 161674, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 62346, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 227236, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 283033, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 298249, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 10605, 0, 40, United-States, >50K -42, Private, 251229, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -76, Private, 199949, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 13, United-States, <=50K -23, State-gov, 305498, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 203836, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 79440, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, Japan, <=50K -48, Local-gov, 142719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 119859, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -32, Private, 141410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 202872, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -27, Private, 198813, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -33, Federal-gov, 129707, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 445758, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -18, ?, 30246, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 173981, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 108506, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -34, Private, 134886, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Federal-gov, 181970, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1672, 40, United-States, <=50K -57, Self-emp-inc, 282913, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Cuba, <=50K -59, Local-gov, 196013, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Federal-gov, 348491, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K -52, Private, 416164, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 49, Mexico, <=50K -17, Private, 121037, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -29, Private, 103111, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Canada, <=50K -63, Self-emp-not-inc, 147589, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K -20, Private, 24008, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -42, Self-emp-inc, 123838, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -50, Self-emp-not-inc, 175456, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 84774, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 30, United-States, <=50K -27, Private, 194590, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 25, United-States, <=50K -28, Private, 134566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -55, Private, 211678, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Federal-gov, 44822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, State-gov, 144586, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 119156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 371987, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, State-gov, 144125, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 31905, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -48, Self-emp-not-inc, 121124, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -46, Private, 58126, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 318518, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 296509, 7th-8th, 4, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K -32, Private, 473133, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 155434, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -52, Private, 99185, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K -39, Private, 56648, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K -57, Local-gov, 118481, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -21, Private, 321666, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K -22, State-gov, 119838, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -26, Private, 330695, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 58039, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 313022, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -42, Private, 178134, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -40, Private, 165309, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K -22, Private, 216181, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K -62, Private, 178745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Private, 111067, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 163788, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 295591, 1st-4th, 2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -45, Private, 123075, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 78045, 11th, 7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 255004, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 254221, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -20, Private, 174714, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 15, United-States, <=50K -68, Self-emp-not-inc, 450580, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -61, Private, 128230, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -48, Private, 192894, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 325390, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 20333, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 7688, 0, 40, United-States, >50K -32, Federal-gov, 128714, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 32, United-States, <=50K -35, Private, 170797, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 269186, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 127671, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 211840, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K -37, Private, 163392, HS-grad, 9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -40, Private, 201495, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 251854, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K -41, Private, 279297, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K -52, Self-emp-not-inc, 195462, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, >50K -33, Private, 170769, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 142443, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Self-emp-not-inc, 182809, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -53, Private, 121441, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -44, Private, 275094, 1st-4th, 2, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -35, Private, 170263, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 172571, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 58, Poland, <=50K -34, Private, 178615, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 279524, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, State-gov, 165201, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K -65, Local-gov, 323006, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -29, Private, 235168, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -39, Self-emp-inc, 114844, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K -46, Local-gov, 216414, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 34378, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2580, 0, 60, United-States, <=50K -47, State-gov, 80914, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 47, United-States, >50K -62, Private, 73292, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 212165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -90, Private, 52386, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K -33, Private, 205649, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -57, Private, 109638, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 45, United-States, <=50K -25, Private, 200408, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 187720, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 236180, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 118693, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 363130, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 18, United-States, <=50K -39, Private, 225544, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Poland, <=50K -59, Federal-gov, 243612, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 160786, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -49, Private, 234320, 7th-8th, 4, Never-married, Prof-specialty, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K -34, Private, 314646, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 124971, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 209184, Bachelors, 13, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K -39, State-gov, 121838, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 265275, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -50, Private, 71417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -34, Private, 45522, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 250135, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 55, United-States, <=50K -18, Private, 120283, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K -20, Private, 216972, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 116791, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -55, State-gov, 26290, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K -22, Private, 216134, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 143932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 217120, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, State-gov, 223944, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 185452, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K -57, Local-gov, 44273, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 178983, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 219288, 7th-8th, 4, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 349190, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, Self-emp-inc, 158685, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2377, 40, United-States, >50K -41, Federal-gov, 57924, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, State-gov, 270324, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K -38, Private, 33001, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -58, Private, 204021, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, Canada, <=50K -26, Private, 192506, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -57, Private, 372967, 10th, 6, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 70, Germany, <=50K -28, Private, 273929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1628, 60, United-States, <=50K -42, Private, 195821, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 56179, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 55, United-States, <=50K -17, ?, 127003, 9th, 5, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 124090, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 199600, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -42, Private, 255847, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 48, United-States, >50K -51, Self-emp-not-inc, 218311, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -27, Private, 167336, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -41, Private, 59938, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -28, Private, 263728, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 278230, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Female, 10520, 0, 30, United-States, >50K -73, ?, 180603, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -49, Private, 43910, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K -47, Private, 190139, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 109001, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, <=50K -42, Local-gov, 159931, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -32, Private, 194987, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -32, Local-gov, 87310, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 41, United-States, <=50K -27, Private, 133937, Masters, 14, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 207064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 36011, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -41, Federal-gov, 168294, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K -49, Local-gov, 194895, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 40, United-States, >50K -58, Self-emp-not-inc, 49884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Self-emp-not-inc, 27305, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 40, United-States, >50K -26, Private, 229977, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 64520, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -32, ?, 134886, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, >50K -37, Private, 305379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 202284, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -42, Self-emp-not-inc, 99185, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 159662, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 26, United-States, >50K -67, Private, 197865, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Local-gov, 175149, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -49, Local-gov, 349633, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -36, Private, 135293, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 45, ?, <=50K -18, Private, 242893, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -25, Private, 218667, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 144811, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 146091, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 99999, 0, 36, United-States, >50K -21, Private, 206861, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, ?, <=50K -65, Self-emp-not-inc, 226215, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K -66, Private, 114447, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 124187, 11th, 7, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -51, Private, 147954, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3411, 0, 38, United-States, <=50K -27, Self-emp-inc, 64379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -17, Private, 156501, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -32, Private, 207668, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -61, ?, 161279, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -38, Private, 225707, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Cuba, >50K -43, Local-gov, 115603, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, State-gov, 506329, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K -63, Private, 275034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 35, United-States, <=50K -76, ?, 172637, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K -42, Private, 56483, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 144778, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -76, Self-emp-not-inc, 33213, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, ?, >50K -41, Local-gov, 297248, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K -17, Private, 137042, 10th, 6, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -30, Self-emp-not-inc, 33308, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 158420, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Iran, <=50K -22, Private, 41763, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -53, ?, 220640, Bachelors, 13, Divorced, ?, Other-relative, Other, Female, 0, 0, 20, United-States, <=50K -28, Private, 149734, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 52, United-States, <=50K -25, ?, 262245, Assoc-voc, 11, Never-married, ?, Own-child, White, Female, 3418, 0, 40, United-States, <=50K -24, Private, 349691, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 185385, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Self-emp-not-inc, 174463, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 236068, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -63, ?, 445168, Bachelors, 13, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 56, United-States, <=50K -25, Private, 91334, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K -28, Private, 33895, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 214816, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 229773, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-inc, 166386, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Taiwan, <=50K -44, Private, 266135, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -18, Private, 300379, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K -54, Federal-gov, 392502, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Private, 73809, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 193720, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Private, 316183, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 162944, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 186888, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K -27, ?, 330132, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -24, Private, 192017, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K -20, State-gov, 161978, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -52, Private, 202930, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -57, Local-gov, 323309, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 197332, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Self-emp-inc, 204033, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, ?, <=50K -22, Private, 271274, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 174242, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 209483, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -39, Federal-gov, 99146, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 60, United-States, >50K -52, Self-emp-not-inc, 102346, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 181666, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 207367, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K -35, State-gov, 82622, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K -50, Private, 202296, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 142182, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -48, Federal-gov, 94342, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 41493, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K -18, Private, 181712, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -29, Self-emp-not-inc, 164607, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 41496, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -63, Private, 143098, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K -36, Local-gov, 196529, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -24, Private, 157332, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 42, United-States, <=50K -30, Local-gov, 154935, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 223231, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -35, ?, 253860, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 362589, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 94880, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K -20, Private, 309580, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 130389, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, Scotland, <=50K -21, Private, 349365, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -27, Private, 376936, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 179557, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 105577, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -51, Private, 224207, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Federal-gov, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 191283, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 20953, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -22, State-gov, 186569, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 12, United-States, <=50K -59, Private, 43221, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -38, Private, 161141, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 203003, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 141758, 9th, 5, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 113322, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 343847, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K -45, Private, 214068, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 116632, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 240160, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 516337, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -23, Self-emp-inc, 284651, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -39, State-gov, 141420, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 42750, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -54, Private, 165278, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 167265, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -44, Private, 139907, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -31, Self-emp-inc, 236415, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -25, Private, 312966, 9th, 5, Separated, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -33, Private, 118941, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, >50K -32, Private, 198068, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 373952, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 236111, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 55, United-States, >50K -80, Private, 157778, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -21, Private, 143604, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K -35, Self-emp-not-inc, 319831, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -77, ?, 132728, Masters, 14, Divorced, ?, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 137606, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5013, 0, 40, United-States, <=50K -35, ?, 61343, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 268234, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 100135, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 25, United-States, <=50K -53, Self-emp-not-inc, 34973, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 323790, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -57, Private, 319733, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, >50K -21, ?, 180339, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -19, Private, 125591, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 60772, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K -42, Federal-gov, 74680, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 2001, 60, United-States, <=50K -29, Self-emp-not-inc, 141185, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -38, ?, 204668, Assoc-voc, 11, Separated, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 273792, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 70037, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 3004, 60, ?, >50K -40, Private, 343068, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 177907, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -28, Private, 144063, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Self-emp-not-inc, 257574, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -42, Self-emp-not-inc, 67065, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 183356, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 152940, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -37, Private, 227128, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 45607, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K -49, Private, 155489, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 230704, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -24, ?, 267955, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 165115, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 49923, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 272240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 255476, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, Mexico, <=50K -59, Private, 194290, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K -52, Private, 145548, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 175262, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 37306, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -58, Private, 137547, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -53, Private, 276515, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, Cuba, <=50K -23, Private, 174626, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -35, Private, 215310, 11th, 7, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 332355, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 204057, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 391591, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 169092, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, >50K -28, Private, 230743, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 190963, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -74, ?, 204840, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 56, Mexico, <=50K -19, Private, 169853, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 24, United-States, <=50K -28, Private, 212091, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K -31, Private, 202822, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -61, ?, 226989, Some-college, 10, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 140011, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 53, United-States, <=50K -20, ?, 432376, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, Germany, <=50K -35, Private, 90273, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, >50K -23, Private, 224424, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 168943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K -19, Private, 571853, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 156464, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -26, Private, 108542, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Local-gov, 194325, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -49, Private, 114797, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 40135, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2042, 40, United-States, <=50K -38, Private, 204756, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 228190, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 20, United-States, <=50K -33, Private, 163392, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, >50K -54, Private, 138845, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Local-gov, 169853, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Never-worked, 206359, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 224097, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 160786, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 190044, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 145290, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 120268, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 70, United-States, <=50K -17, Private, 327434, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Self-emp-inc, 218302, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -30, Private, 1184622, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, United-States, <=50K -90, Local-gov, 227796, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 60, United-States, >50K -25, Private, 206343, HS-grad, 9, Never-married, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 36851, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 148550, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 157079, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, >50K -31, Federal-gov, 142470, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 86750, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K -63, Private, 361631, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -46, Private, 163229, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 179594, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 254773, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 50, United-States, >50K -26, Private, 58065, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 205428, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -20, ?, 41183, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -19, ?, 308064, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -61, Private, 173924, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, >50K -23, State-gov, 142547, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 119704, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 275364, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Male, 7430, 0, 40, Germany, >50K -42, Self-emp-not-inc, 207392, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K -31, Private, 147215, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 21, United-States, <=50K -31, Private, 101562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 55, United-States, <=50K -63, Private, 216413, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -29, State-gov, 188986, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 1590, 64, United-States, <=50K -43, State-gov, 52849, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 304710, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, Vietnam, <=50K -17, Private, 265657, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -23, Self-emp-not-inc, 258298, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 2231, 40, United-States, >50K -35, Private, 360814, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 53260, HS-grad, 9, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 28, United-States, <=50K -50, Self-emp-inc, 127315, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -25, Private, 233777, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, ?, <=50K -26, Local-gov, 197530, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 340940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 88432, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 183810, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -90, Private, 51744, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K -35, Private, 175614, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -31, Self-emp-not-inc, 235237, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K -60, Private, 227266, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -21, Private, 146499, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 1579, 40, United-States, <=50K -71, Local-gov, 337064, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 141003, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -50, Local-gov, 117791, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 172846, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -23, Private, 73514, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -74, Private, 211075, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -67, Private, 197816, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1844, 70, United-States, <=50K -59, Private, 43221, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K -28, Private, 183780, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 40, United-States, <=50K -45, Private, 26781, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 271550, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 250157, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 63, United-States, <=50K -33, State-gov, 913447, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -32, Private, 153078, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -34, Private, 181091, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -39, Private, 231491, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -29, State-gov, 95423, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K -22, Private, 234663, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 283602, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 13550, 0, 43, United-States, >50K -46, Private, 328669, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K -51, Private, 143741, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Private, 83508, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 2354, 0, 99, United-States, <=50K -56, State-gov, 81954, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 261375, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 310045, 9th, 5, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 30, China, <=50K -39, Private, 316211, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -45, Federal-gov, 88564, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -37, Private, 61299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 113364, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, ?, 476573, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -46, Private, 267107, 5th-6th, 3, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, Italy, <=50K -35, Private, 48123, 12th, 8, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 50, United-States, <=50K -33, Private, 214635, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, <=50K -48, Private, 115585, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 194141, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K -18, ?, 23233, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 89991, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K -35, Private, 101709, HS-grad, 9, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K -19, Private, 237455, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 206492, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K -56, Private, 28729, 11th, 7, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 153475, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, El-Salvador, <=50K -45, Private, 275517, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 128002, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, <=50K -44, Private, 175485, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 12, United-States, <=50K -55, Private, 189664, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 209808, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 176992, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 154669, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K -25, Private, 191271, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 375482, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 102953, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 55, United-States, >50K -53, Private, 169182, 10th, 6, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K -47, Private, 184005, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 3325, 0, 45, United-States, <=50K -49, Self-emp-inc, 30751, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 145477, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -31, Private, 91964, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 49249, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 80, United-States, <=50K -19, Private, 218956, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 241306, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, ?, 251572, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 35, Poland, <=50K -23, Private, 319842, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -44, Private, 332401, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K -54, Local-gov, 182388, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 205939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -21, Private, 203914, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -19, State-gov, 156294, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 25, United-States, <=50K -51, Private, 254211, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, >50K -41, Private, 151504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -61, Private, 85548, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 18, United-States, >50K -19, Self-emp-not-inc, 30800, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -22, Private, 131230, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 61850, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 227800, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, <=50K -35, Private, 133454, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 104094, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 105422, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 142182, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Private, 336643, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -62, Self-emp-inc, 200577, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 208703, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Japan, <=50K -55, ?, 193895, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, England, <=50K -25, Private, 272428, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4416, 0, 42, United-States, <=50K -33, Private, 56701, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 75, United-States, >50K -26, Private, 288592, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 266439, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Federal-gov, 276868, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 131435, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 175127, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -25, Private, 277444, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 63296, Masters, 14, Divorced, Prof-specialty, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 96337, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 221955, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -40, Private, 197923, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 2977, 0, 40, United-States, <=50K -29, Private, 632593, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 205970, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K -25, Private, 139730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, >50K -18, Private, 201901, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K -32, State-gov, 230224, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -27, Private, 113464, 1st-4th, 2, Never-married, Other-service, Own-child, Other, Male, 0, 0, 35, Dominican-Republic, <=50K -48, Private, 94461, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -20, Private, 271379, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -55, Private, 231738, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, England, <=50K -33, Local-gov, 198183, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -21, State-gov, 140764, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -43, Self-emp-not-inc, 183479, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 165767, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 139364, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -19, Private, 227491, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -25, Private, 222254, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 193494, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, >50K -27, Private, 29261, Assoc-acdm, 12, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 174368, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -69, Private, 108196, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 110622, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -20, ?, 201680, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 130277, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Local-gov, 98130, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 39, United-States, <=50K -62, ?, 235521, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K -34, State-gov, 595000, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K -31, Self-emp-not-inc, 349148, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -42, State-gov, 117583, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 60, United-States, >50K -26, Private, 164583, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -39, Private, 340091, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 75, United-States, <=50K -25, Private, 49092, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Local-gov, 186884, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 30, United-States, <=50K -44, State-gov, 167265, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -34, State-gov, 34104, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 38, United-States, >50K -21, Self-emp-inc, 265116, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 128378, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, ?, <=50K -33, Private, 158416, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-inc, 169878, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Private, 296728, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Local-gov, 342458, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -21, Local-gov, 38771, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 269300, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K -43, Private, 111483, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -57, ?, 199114, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -51, Local-gov, 33863, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 132874, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 277024, HS-grad, 9, Separated, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 112160, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 703067, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -58, Private, 127264, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Self-emp-inc, 257200, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 57206, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 201319, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 114079, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -45, Private, 230979, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 292472, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K -64, ?, 286732, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Local-gov, 134444, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, <=50K -30, Private, 172403, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -46, Private, 191357, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 279288, 10th, 6, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -60, Private, 389254, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 303867, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -47, Private, 164113, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, United-States, >50K -39, Private, 111499, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 266084, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 45, United-States, >50K -27, Private, 61580, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 231348, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 164748, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 205337, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -58, Self-emp-not-inc, 54566, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -45, Private, 34419, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -59, Private, 116442, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 290740, Assoc-acdm, 12, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -27, Private, 255582, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 112517, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K -44, Private, 169397, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 172664, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -27, Private, 329005, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 123253, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -55, Private, 81865, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 173314, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 60, United-States, <=50K -31, Private, 34572, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -57, Self-emp-inc, 159028, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K -30, Private, 149184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -78, ?, 363134, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K -28, Private, 308709, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -30, Self-emp-not-inc, 257295, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 2258, 40, South, <=50K -29, Private, 168479, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -66, Private, 142501, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 3, United-States, <=50K -60, Private, 338345, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Private, 177675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 262617, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 2597, 0, 40, United-States, <=50K -24, Private, 200997, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 176683, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -44, Private, 376072, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -34, Local-gov, 177675, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -59, Private, 348430, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 43, United-States, >50K -23, Private, 320451, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, United-States, <=50K -23, Private, 38151, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Philippines, <=50K -55, Local-gov, 123382, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -39, Self-emp-inc, 151029, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 484475, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -57, Private, 329792, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 75, United-States, <=50K -35, Private, 148903, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Local-gov, 301614, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K -47, Private, 176319, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 38, United-States, >50K -53, State-gov, 53197, Doctorate, 16, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 291407, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -35, Private, 204527, Masters, 14, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -44, Private, 476391, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 224964, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 306225, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Poland, <=50K -23, Private, 292023, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 94041, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Ireland, <=50K -49, Self-emp-inc, 187563, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 176101, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 2174, 0, 60, United-States, <=50K -36, Private, 749105, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -41, ?, 230020, 5th-6th, 3, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 40, United-States, <=50K -21, Private, 216070, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 46, United-States, >50K -54, Self-emp-not-inc, 105010, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 198203, Some-college, 10, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, Local-gov, 215419, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 120460, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Private, 199316, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -46, Private, 146919, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 174744, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, ?, 189564, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 1, United-States, <=50K -21, Private, 249957, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 146574, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -47, State-gov, 156417, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 236110, 5th-6th, 3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -19, Private, 63363, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -25, Private, 190107, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 126569, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 176756, 12th, 8, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 115161, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -57, Self-emp-not-inc, 138892, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K -38, Private, 256864, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -48, Private, 265083, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -34, Private, 249948, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -46, Federal-gov, 31141, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 164190, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, ?, <=50K -45, State-gov, 67544, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Self-emp-not-inc, 174789, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 199753, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K -62, Private, 122246, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 8614, 0, 39, United-States, >50K -56, ?, 188166, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 96586, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 189590, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 140590, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 33, United-States, <=50K -35, Private, 255702, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K -33, Private, 260782, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, >50K -38, Private, 169926, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K -37, State-gov, 151322, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 192869, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 93604, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 1602, 32, United-States, <=50K -31, Private, 86958, 9th, 5, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -53, Local-gov, 228723, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, ?, >50K -33, Private, 192644, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Puerto-Rico, <=50K -72, Private, 284080, 1st-4th, 2, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -54, Private, 43269, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Private, 190040, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 306108, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -30, Private, 220148, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K -30, Private, 381645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 216361, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 16, United-States, <=50K -30, Private, 213722, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -35, Private, 112271, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 208277, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 44, United-States, >50K -38, State-gov, 352628, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 129620, 10th, 6, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -32, Private, 249550, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -49, Private, 178749, Masters, 14, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -76, ?, 173542, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -60, Private, 167670, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -60, Private, 81578, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 160662, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K -41, Private, 163322, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, ?, <=50K -24, Private, 152189, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 106176, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 60, United-States, >50K -69, State-gov, 159191, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 810, 38, United-States, <=50K -71, ?, 250263, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3432, 0, 30, United-States, <=50K -41, Private, 78410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -32, Private, 131379, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 166929, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 380357, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 79190, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 342164, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -44, Private, 182616, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Private, 339473, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -31, Local-gov, 381153, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 56, United-States, >50K -51, Private, 300816, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -51, Private, 240988, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -23, Private, 149224, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 168216, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -56, Private, 286487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 45, United-States, <=50K -39, Private, 305597, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Self-emp-not-inc, 109766, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -30, Self-emp-not-inc, 188798, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 240170, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, <=50K -31, Private, 459465, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -44, Local-gov, 162506, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -43, Self-emp-not-inc, 145441, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K -37, Federal-gov, 129573, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, ?, >50K -41, Private, 27444, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K -43, Private, 195258, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -47, State-gov, 55272, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Self-emp-not-inc, 164526, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2824, 45, United-States, >50K -46, Private, 27802, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, State-gov, 165289, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 274657, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K -24, Private, 317175, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Self-emp-inc, 163237, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K -37, Private, 170408, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -28, ?, 55950, Bachelors, 13, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Germany, <=50K -40, Private, 76625, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 366066, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 349368, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 286824, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -32, Private, 373263, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 161978, HS-grad, 9, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 543922, Masters, 14, Divorced, Transport-moving, Not-in-family, White, Male, 14344, 0, 48, United-States, >50K -46, Local-gov, 109089, Prof-school, 15, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 110151, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -26, Private, 34110, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -47, Self-emp-not-inc, 118506, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 117789, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K -34, Self-emp-not-inc, 353881, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 200471, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K -20, Private, 258517, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -28, Private, 190367, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 174704, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 179413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 329530, 9th, 5, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 273818, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Mexico, <=50K -46, Private, 256522, 1st-4th, 2, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K -42, Private, 196001, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 282660, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 72630, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 50295, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -20, Private, 203240, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K -56, Self-emp-not-inc, 172618, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -41, Private, 202168, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -61, Private, 176839, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 176140, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, >50K -60, Private, 39952, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2228, 0, 37, United-States, <=50K -33, Private, 292465, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, ?, 161285, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K -48, Private, 355320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Canada, >50K -56, Private, 182460, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 69345, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 55, United-States, >50K -57, Self-emp-not-inc, 102058, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 165804, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 40, United-States, <=50K -46, Private, 318259, Assoc-voc, 11, Divorced, Tech-support, Other-relative, White, Female, 0, 0, 36, United-States, <=50K -21, Private, 117606, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 170718, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 413297, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 190457, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -54, Private, 88278, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -32, Local-gov, 217296, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 4064, 0, 22, United-States, <=50K -62, ?, 97231, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 1, United-States, <=50K -50, Private, 123429, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Federal-gov, 420282, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 498325, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 248533, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 137354, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -42, Private, 272910, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 206054, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 92141, Assoc-acdm, 12, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 163199, Some-college, 10, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -34, Private, 195860, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 115717, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2051, 40, United-States, <=50K -18, Private, 120029, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -33, Private, 221762, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 342164, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -21, Private, 176356, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 133239, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Federal-gov, 169101, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 159442, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 174461, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K -43, Private, 361280, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 42, China, <=50K -52, State-gov, 447579, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, England, <=50K -27, ?, 308995, Some-college, 10, Divorced, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -61, Private, 248448, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 161141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 212465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Self-emp-inc, 170871, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -43, Local-gov, 233865, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 163052, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 348690, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Federal-gov, 34845, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Germany, >50K -22, Private, 206861, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 349230, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 130840, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -19, Private, 415354, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 132191, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 202466, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -27, ?, 224421, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 236804, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K -20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -47, Private, 102771, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 221403, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 18, United-States, <=50K -76, ?, 211574, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 1, United-States, <=50K -39, Private, 52645, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 276310, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 134613, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 43, United-States, <=50K -44, Private, 215479, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 20, Haiti, <=50K -53, Private, 266529, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 265807, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -45, Self-emp-not-inc, 67716, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 178951, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 241126, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 176544, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -45, Private, 169180, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -37, Self-emp-not-inc, 282461, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -53, Private, 157069, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 99357, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K -38, Self-emp-not-inc, 414991, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, ?, <=50K -65, Self-emp-inc, 338316, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 59612, 10th, 6, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 70, United-States, <=50K -24, Private, 220426, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 115912, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 27032, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K -19, Private, 170720, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -60, Private, 183162, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 192360, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -78, ?, 165694, Masters, 14, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 128553, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -58, Private, 209423, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, Cuba, <=50K -37, Self-emp-not-inc, 121510, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -41, Private, 93793, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -30, Private, 133602, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 391329, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -48, Private, 96359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Greece, >50K -22, Private, 203894, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -50, Private, 196193, Masters, 14, Married-spouse-absent, Prof-specialty, Other-relative, White, Male, 0, 0, 60, ?, <=50K -25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K -18, Private, 50879, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 6, United-States, <=50K -21, Private, 186849, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 201127, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 110998, HS-grad, 9, Never-married, Other-service, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K -39, Private, 190466, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 2174, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 173935, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 8, United-States, >50K -19, Private, 167140, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1602, 24, United-States, <=50K -18, Private, 110230, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 11, United-States, <=50K -36, Private, 287658, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 224954, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K -25, ?, 394820, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 37618, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -73, Self-emp-not-inc, 29306, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 37314, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -31, Private, 420749, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 482732, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 206215, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 101364, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -66, Self-emp-inc, 185369, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -66, Private, 216856, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -64, Private, 256019, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -48, Private, 348144, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 3325, 0, 53, United-States, <=50K -24, Private, 190293, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 25932, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 176729, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -33, Private, 166961, 11th, 7, Separated, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -50, Private, 86373, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 320513, 7th-8th, 4, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, Dominican-Republic, <=50K -34, State-gov, 190290, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -41, Local-gov, 111891, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 45796, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 108496, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 2907, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 120539, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K -36, Self-emp-not-inc, 164526, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K -37, Private, 323155, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, Mexico, <=50K -28, Private, 65389, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -19, Private, 414871, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 161607, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -62, Private, 224953, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 261382, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K -58, Self-emp-not-inc, 231818, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Greece, <=50K -42, Self-emp-inc, 184018, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 1151, 0, 50, United-States, <=50K -43, Self-emp-inc, 133060, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 35032, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 304212, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -64, Local-gov, 50442, 9th, 5, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 146091, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K -26, Private, 267431, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -19, Private, 121240, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -21, Private, 192572, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K -32, Private, 211028, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 346122, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 5013, 0, 45, United-States, <=50K -26, Private, 202203, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 50, United-States, <=50K -20, Private, 159297, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K -19, Private, 310158, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -33, Federal-gov, 193246, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, >50K -23, Private, 200089, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -29, Private, 38353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 76280, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 243665, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -63, Private, 68872, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -34, Private, 103596, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 88055, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K -48, Private, 186203, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 257910, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 200227, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 124975, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 27828, 0, 55, United-States, >50K -32, Private, 227669, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -22, Private, 117210, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, Greece, <=50K -25, Private, 76144, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 98667, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -24, Local-gov, 155818, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 44, United-States, <=50K -29, Private, 283760, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -73, ?, 281907, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K -39, Private, 186183, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Self-emp-inc, 202153, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 365683, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -22, Private, 187538, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, ?, 209432, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -33, Private, 126950, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 110028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 104660, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -57, Self-emp-not-inc, 437281, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K -42, Private, 259643, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -22, Private, 217961, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 1719, 30, United-States, <=50K -21, ?, 134746, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -42, Self-emp-not-inc, 120539, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Private, 25803, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -41, Private, 63596, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K -20, Local-gov, 325493, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 211239, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 206686, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 427965, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 218550, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 14084, 0, 16, United-States, >50K -71, Private, 163385, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, >50K -52, Private, 124993, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K -36, Private, 107410, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 152373, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -37, Private, 161226, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, >50K -26, Private, 213799, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 204461, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Private, 377798, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -20, Private, 116375, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Local-gov, 210164, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -56, Self-emp-not-inc, 258752, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -39, Private, 327435, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K -24, Private, 301199, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 186221, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 203924, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 192236, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 201454, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 156580, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 37, United-States, >50K -51, Private, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 106753, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -59, Private, 359292, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -29, Private, 83003, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 78817, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 200967, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 36, United-States, <=50K -38, State-gov, 107164, Some-college, 10, Separated, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 189674, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 28, ?, <=50K -34, Self-emp-not-inc, 90614, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -42, Self-emp-not-inc, 323790, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 70, United-States, >50K -45, Self-emp-not-inc, 242552, 12th, 8, Divorced, Craft-repair, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K -21, Private, 90935, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -64, Self-emp-inc, 165667, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, Canada, >50K -32, Private, 162604, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -45, Private, 205424, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -53, Private, 97411, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K -42, Private, 184857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K -32, Private, 165226, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 115784, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 368476, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, Mexico, <=50K -28, Private, 53063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, ?, 134566, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Private, 153471, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -37, Self-emp-inc, 107164, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 2559, 50, United-States, >50K -38, Private, 180303, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K -44, Local-gov, 236321, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K -19, Private, 141868, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 367655, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 203518, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 119558, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -56, Private, 108276, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 385452, 10th, 6, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 162003, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 349028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 45114, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 112797, 9th, 5, Divorced, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 183639, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 177121, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 239755, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 150361, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 293091, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 200089, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, Mexico, >50K -40, Private, 91836, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 324960, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -79, Local-gov, 84616, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 7, United-States, <=50K -44, Private, 252930, 10th, 6, Divorced, Adm-clerical, Unmarried, Other, Female, 0, 0, 42, United-States, <=50K -51, Private, 44000, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 50, United-States, >50K -30, Private, 154843, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 99307, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 48, United-States, >50K -41, Private, 182567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K -33, Private, 93206, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -50, Private, 100109, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K -51, Private, 114927, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K -41, Private, 121287, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 189916, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, >50K -34, Private, 157747, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -28, Private, 39232, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -31, Self-emp-inc, 133861, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 505980, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 183374, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2329, 0, 15, United-States, <=50K -65, Private, 193216, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 40, United-States, >50K -39, Self-emp-not-inc, 140752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 549349, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 179008, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Self-emp-not-inc, 190554, 10th, 6, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, >50K -47, Private, 80924, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -51, Local-gov, 319054, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K -34, Private, 297094, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 170562, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -29, Private, 240738, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 297544, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 169905, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 149637, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 182526, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 158315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -61, Self-emp-inc, 227232, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 96483, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 8614, 0, 60, United-States, >50K -41, Private, 286970, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 223529, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 43, United-States, <=50K -78, Self-emp-not-inc, 316261, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 99999, 0, 20, United-States, >50K -40, Private, 170214, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Self-emp-not-inc, 224361, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K -43, Private, 124919, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K -55, ?, 103654, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 306352, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Mexico, <=50K -26, Self-emp-not-inc, 227858, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -43, Self-emp-inc, 150533, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K -25, Private, 144478, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Poland, <=50K -22, Private, 254547, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 30, Jamaica, <=50K -52, Self-emp-not-inc, 313243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -61, Private, 149981, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2414, 0, 5, United-States, <=50K -42, Private, 125461, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 306967, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 192976, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -65, Private, 192133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 40, Greece, <=50K -56, ?, 131608, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -33, Federal-gov, 339388, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 203240, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 83827, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -45, Self-emp-inc, 160440, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -42, Private, 108502, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -37, Private, 410913, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, Other, Male, 0, 0, 40, Mexico, <=50K -56, Private, 193818, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, ?, 163582, 10th, 6, Divorced, ?, Unmarried, White, Female, 0, 0, 16, ?, <=50K -40, Private, 103789, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -31, Private, 34572, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 43408, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 105787, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-inc, 90693, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -45, Self-emp-not-inc, 285575, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -47, Local-gov, 56482, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 50, United-States, >50K -22, Private, 496025, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Private, 382764, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 259284, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -48, Self-emp-not-inc, 185385, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 98, United-States, <=50K -57, Self-emp-not-inc, 286836, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K -47, Private, 139145, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -58, Local-gov, 44246, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 169611, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 133403, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -29, Private, 187327, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 180032, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 46561, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 86065, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -46, Self-emp-not-inc, 256014, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 188403, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 396758, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 70, United-States, >50K -25, Private, 60485, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -32, Private, 271276, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K -56, Private, 229525, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 34574, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K -19, State-gov, 112432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K -20, Private, 105312, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K -34, Private, 221396, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 304872, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 319733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 176012, 9th, 5, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 23, United-States, <=50K -31, Private, 213750, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 248384, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 351187, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 138179, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K -59, Private, 50223, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 117477, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -40, Private, 194360, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 118108, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 90730, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -18, Self-emp-inc, 38307, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K -41, Private, 116391, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 210496, 10th, 6, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 168475, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 174386, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -39, Private, 166744, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K -19, Private, 375114, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 373469, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 339667, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K -39, Private, 91711, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 82049, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 236242, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -57, Self-emp-inc, 140319, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Local-gov, 34080, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 204816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 187124, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 72310, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -58, Private, 175127, 12th, 8, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -48, Federal-gov, 205707, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K -45, Local-gov, 236586, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K -18, Private, 71792, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -56, Private, 87584, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 136878, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -40, Private, 287983, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 2258, 48, Philippines, <=50K -38, Private, 110607, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -58, Private, 109015, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 235071, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K -63, Private, 88653, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K -51, Private, 332243, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, ?, 291547, 5th-6th, 3, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 40, Mexico, <=50K -44, Private, 45093, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -46, Federal-gov, 161337, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -64, State-gov, 211222, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 295117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, England, >50K -31, Private, 206541, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 238415, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -21, Private, 29810, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -30, Private, 108023, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 114324, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -54, Private, 172281, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 50, United-States, <=50K -59, Local-gov, 197290, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 191177, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K -57, Private, 562558, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 79531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Self-emp-inc, 157881, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -58, Self-emp-not-inc, 204816, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 185695, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -39, Self-emp-inc, 167482, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Self-emp-inc, 83748, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 70, South, <=50K -27, Private, 39232, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 236827, 9th, 5, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 154410, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 135308, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 204042, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -20, Private, 308239, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -55, Private, 183884, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 98948, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 141642, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 162623, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 186934, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 179512, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -25, Private, 391192, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K -31, Private, 87054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 30008, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 113466, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -70, Private, 642830, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -23, Private, 182117, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 162432, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 242184, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -47, Private, 170850, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 4064, 0, 60, United-States, <=50K -56, Private, 435022, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -79, Private, 120707, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 35, El-Salvador, >50K -20, Private, 170800, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -30, Private, 268575, HS-grad, 9, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -27, Private, 269354, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, ?, <=50K -40, Private, 224232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -60, ?, 153072, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K -58, Private, 177368, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -71, Self-emp-not-inc, 163293, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 2, United-States, <=50K -50, Private, 178530, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -29, Local-gov, 183523, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Iran, <=50K -33, Private, 207267, 10th, 6, Separated, Other-service, Unmarried, White, Female, 3418, 0, 35, United-States, <=50K -60, State-gov, 27037, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -33, Private, 176711, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 163215, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, ?, >50K -33, Private, 394727, 10th, 6, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 195488, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 52, United-States, <=50K -32, State-gov, 443546, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 121023, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 9, United-States, <=50K -38, Private, 51838, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 258888, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -39, State-gov, 189385, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -17, Private, 198146, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -21, Private, 337766, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 210525, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K -42, Private, 185602, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 173804, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 251243, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -37, Self-emp-not-inc, 415847, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 119793, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 181705, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 182360, HS-grad, 9, Separated, Prof-specialty, Unmarried, Other, Female, 0, 0, 60, Puerto-Rico, <=50K -49, Private, 61885, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 146520, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 323790, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 146268, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Federal-gov, 287031, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -33, Local-gov, 292217, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 88126, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 143046, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 401623, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, Jamaica, >50K -36, Self-emp-not-inc, 283122, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 60, United-States, >50K -84, Self-emp-not-inc, 155057, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 260254, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 152292, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -55, Self-emp-inc, 138594, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -30, Self-emp-not-inc, 523095, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 175262, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -55, Private, 323706, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K -34, Private, 316470, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 163815, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 72208, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 74784, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 383518, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 99999, 0, 40, United-States, >50K -25, Self-emp-not-inc, 266668, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 347519, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -24, Private, 336088, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, <=50K -36, Private, 190350, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 204052, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, ?, 31362, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -90, Self-emp-not-inc, 155981, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 10566, 0, 50, United-States, <=50K -67, Private, 195161, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 60, United-States, >50K -22, Self-emp-inc, 269583, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K -47, Private, 26994, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -32, Private, 116539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 55, United-States, >50K -55, Self-emp-not-inc, 189933, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 101283, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -48, Private, 113598, Some-college, 10, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 188793, HS-grad, 9, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 35, United-States, <=50K -33, Private, 109996, Assoc-acdm, 12, Married-spouse-absent, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 195681, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, ?, <=50K -47, Private, 436770, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 84253, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -44, Self-emp-inc, 383493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 216867, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, Mexico, <=50K -18, Private, 401051, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -56, Private, 83196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 325596, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 187322, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 193949, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K -26, Private, 133373, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 42, United-States, <=50K -42, Private, 113324, HS-grad, 9, Widowed, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 178818, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 152810, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 335997, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 55, United-States, >50K -40, Private, 436493, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -27, Private, 704108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -24, Local-gov, 150084, Some-college, 10, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 341204, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 187336, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 204209, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -42, Self-emp-not-inc, 206066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, <=50K -38, Private, 63509, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Self-emp-not-inc, 391121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 56026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Self-emp-not-inc, 60981, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 4, United-States, <=50K -21, Private, 228255, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 86745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -55, Private, 234327, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 59948, 9th, 5, Never-married, Adm-clerical, Unmarried, Black, Female, 114, 0, 20, United-States, <=50K -31, Private, 137814, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 167692, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 245090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -51, Self-emp-not-inc, 256963, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 160033, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K -38, Local-gov, 289430, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -52, Local-gov, 305053, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K -70, Self-emp-not-inc, 172370, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K -53, Private, 320510, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 171355, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 65027, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K -18, Private, 215190, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, ?, 149385, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -19, ?, 169324, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K -24, Private, 138938, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 557082, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -32, Private, 273287, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K -34, Self-emp-not-inc, 77209, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K -35, Private, 317153, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 95469, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 45, United-States, >50K -18, Private, 302859, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 333651, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -30, Private, 177596, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -40, Self-emp-inc, 157240, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 30, Iran, >50K -22, Private, 184779, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Local-gov, 138358, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K -70, Private, 176285, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K -43, Private, 102180, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -77, Self-emp-not-inc, 209507, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 229741, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 324546, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 39, United-States, <=50K -51, Private, 337195, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 50, United-States, >50K -58, State-gov, 194068, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -22, Private, 250647, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K -33, Private, 477106, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 104329, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 224566, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 169841, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -41, Private, 42563, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 25, United-States, >50K -37, Private, 31368, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 132755, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -50, Private, 279129, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -31, ?, 86143, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -54, State-gov, 44172, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -23, State-gov, 93076, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 146653, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -29, Private, 221366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, Germany, <=50K -38, Private, 189404, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, ?, <=50K -30, Private, 172304, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -20, Private, 116666, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 8, India, <=50K -43, Self-emp-not-inc, 64112, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 55718, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 25, United-States, <=50K -39, Private, 126675, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -48, Private, 102112, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Self-emp-not-inc, 226505, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 211527, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 175069, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Yugoslavia, <=50K -25, Private, 25249, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 73411, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 207185, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, Puerto-Rico, >50K -66, Private, 127139, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 41809, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 297449, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K -46, Private, 141483, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 117227, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -46, Private, 377401, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 70, Canada, >50K -34, Local-gov, 167063, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 253759, Some-college, 10, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 183096, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 269654, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -70, ?, 293076, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 34104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 80057, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Germany, >50K -42, Self-emp-inc, 369781, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 25, United-States, <=50K -21, Private, 223811, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 163053, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 189461, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 55, United-States, <=50K -50, Local-gov, 145166, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -37, Private, 86310, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -19, ?, 263224, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -44, Federal-gov, 280362, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 301031, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 74966, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 24, United-States, <=50K -36, Private, 254493, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -49, Self-emp-not-inc, 204241, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 225024, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 148222, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -75, State-gov, 113868, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 20, United-States, >50K -42, Private, 132633, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -37, Private, 44780, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 86373, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 25, United-States, <=50K -61, Local-gov, 176753, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K -33, Private, 164707, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Female, 2174, 0, 55, ?, <=50K -50, Local-gov, 370733, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -59, Private, 216851, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 137951, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -22, Private, 185279, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -56, Private, 159724, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 103233, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 63509, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 174353, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 168109, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 50, United-States, >50K -27, Private, 159724, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 105010, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2051, 20, United-States, <=50K -30, Private, 179112, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, ?, <=50K -46, Private, 364913, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 155664, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -61, Private, 230568, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -33, Private, 86492, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 87, United-States, <=50K -40, Private, 71305, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 189933, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -46, Self-emp-inc, 191978, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 50, United-States, >50K -35, Private, 38948, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-inc, 139127, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 301568, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -64, Private, 149044, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2057, 60, China, <=50K -41, Private, 197344, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K -18, Private, 32244, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 594, 0, 30, United-States, <=50K -44, Self-emp-not-inc, 315406, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 88, United-States, <=50K -41, State-gov, 47170, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female, 0, 0, 48, United-States, >50K -33, State-gov, 208785, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -37, Private, 196338, 9th, 5, Separated, Priv-house-serv, Unmarried, White, Female, 0, 0, 16, Mexico, <=50K -34, Private, 269243, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Federal-gov, 215115, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, ?, <=50K -20, Private, 117767, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 176101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 138283, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Self-emp-not-inc, 132320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K -22, Federal-gov, 471452, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 8, United-States, <=50K -55, Private, 147653, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 73, United-States, <=50K -20, Private, 49179, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -26, Private, 174921, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Self-emp-inc, 95997, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K -40, Private, 247245, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 67072, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -54, ?, 95329, Some-college, 10, Divorced, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 107882, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 241825, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 46, United-States, <=50K -18, Private, 79443, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K -49, Self-emp-not-inc, 233059, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -17, Private, 226980, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K -34, Self-emp-not-inc, 181087, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 305597, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -49, Federal-gov, 311671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -74, Private, 129879, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 15831, 0, 40, United-States, >50K -37, Private, 83375, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 115824, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1573, 40, United-States, <=50K -40, Private, 141657, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K -34, Private, 50276, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K -30, Private, 177216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1740, 40, Haiti, <=50K -44, Private, 228057, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Puerto-Rico, <=50K -40, Private, 222848, 10th, 6, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 32, United-States, <=50K -58, Private, 121111, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, Greece, <=50K -44, Private, 298885, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 149909, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, >50K -39, Private, 387430, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 18, United-States, <=50K -19, Private, 121972, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 280167, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 70, United-States, >50K -29, State-gov, 191355, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Federal-gov, 112115, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -38, ?, 104094, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -27, Private, 211032, Preschool, 1, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 41310, 0, 24, Mexico, <=50K -54, Private, 199307, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -40, Private, 205175, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -19, Private, 257750, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -17, Private, 191260, 11th, 7, Never-married, Other-service, Own-child, White, Male, 594, 0, 10, United-States, <=50K -33, Private, 342730, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K -80, Private, 249983, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -24, Self-emp-not-inc, 161508, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 338376, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 334308, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K -21, Private, 133471, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 129177, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -19, Private, 178811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 178537, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -60, Self-emp-not-inc, 235535, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -20, ?, 298155, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -51, Private, 145114, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 194096, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, State-gov, 191779, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 159732, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -42, Federal-gov, 170230, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K -40, Private, 104719, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 163083, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 403552, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K -62, Private, 218009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 60, United-States, >50K -47, Private, 179313, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 51961, 12th, 8, Never-married, Sales, Other-relative, Black, Male, 0, 0, 51, United-States, <=50K -59, Private, 426001, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K -70, Local-gov, 176493, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K -26, Private, 124068, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -47, Private, 108510, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -25, Private, 181528, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -52, Self-emp-inc, 173754, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -46, Private, 169699, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 126849, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K -34, Private, 204470, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -53, State-gov, 116367, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 4650, 0, 40, United-States, <=50K -22, Private, 117363, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -39, Local-gov, 106297, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 42, United-States, <=50K -54, Self-emp-not-inc, 108933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -24, Private, 190143, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 246677, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -38, Private, 175360, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2559, 90, United-States, >50K -41, Local-gov, 210259, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 166304, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 33, United-States, <=50K -43, Private, 303051, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -39, Private, 49308, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 192262, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -49, Local-gov, 192349, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 48063, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -43, Private, 170214, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Federal-gov, 51048, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Self-emp-inc, 246562, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, >50K -57, Local-gov, 215175, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 114967, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 464536, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 451996, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 138852, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, State-gov, 353012, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 321822, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K -50, Self-emp-not-inc, 324506, HS-grad, 9, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 48, South, <=50K -36, Private, 162256, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Local-gov, 356689, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 260199, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -36, Private, 103605, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 316211, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 308691, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 194404, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -18, Private, 334427, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 36, United-States, <=50K -33, Private, 213226, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 342824, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 1151, 0, 40, United-States, <=50K -23, Private, 33105, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -37, Private, 147638, Bachelors, 13, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, <=50K -25, Private, 315643, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -51, Federal-gov, 106257, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 342768, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 108960, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, ?, 168071, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 136935, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 13, United-States, <=50K -37, Self-emp-not-inc, 188774, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -29, Private, 280344, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 202496, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 37, United-States, <=50K -61, Self-emp-inc, 134768, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 175686, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 194748, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 49, United-States, <=50K -49, Private, 61307, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 38, United-States, <=50K -51, Self-emp-not-inc, 165001, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 25236, 0, 50, United-States, >50K -34, Private, 325658, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 201844, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -20, Private, 505980, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 185336, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -49, Self-emp-inc, 362795, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 99999, 0, 80, Mexico, >50K -26, Private, 126829, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 264600, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 82743, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, Iran, <=50K -63, Self-emp-not-inc, 125178, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 128487, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -40, Private, 321758, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 128220, 7th-8th, 4, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -49, Private, 176814, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Canada, <=50K -35, Private, 188069, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 55, ?, >50K -23, State-gov, 156423, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 169905, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K -34, ?, 157289, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 176972, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Self-emp-not-inc, 171424, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 2205, 35, United-States, <=50K -33, Private, 91811, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 203924, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 2597, 0, 45, United-States, <=50K -55, Private, 177484, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1672, 40, United-States, <=50K -17, ?, 454614, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K -75, Self-emp-not-inc, 242108, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 2346, 0, 15, United-States, <=50K -61, Private, 132972, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 157947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 177482, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Private, 246891, Some-college, 10, Widowed, Sales, Unmarried, White, Male, 0, 0, 50, United-States, >50K -28, State-gov, 158834, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -30, ?, 203834, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Taiwan, <=50K -29, Private, 110442, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 240676, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 192939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 260696, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -40, Local-gov, 55363, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 144949, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -55, Private, 116878, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 30, United-States, >50K -31, Local-gov, 357954, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -21, ?, 170038, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 190290, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Italy, <=50K -26, State-gov, 203279, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 2463, 0, 50, India, <=50K -26, Private, 167761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 138845, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 144844, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K -21, ?, 161930, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 1504, 30, United-States, <=50K -26, Private, 55743, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -40, Self-emp-not-inc, 117721, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Self-emp-not-inc, 116385, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 301867, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 238913, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Self-emp-not-inc, 123983, Some-college, 10, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 63, South, <=50K -26, Private, 165510, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 183513, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -42, Self-emp-inc, 119281, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -41, Private, 152629, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 110171, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 211440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Local-gov, 359259, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 125796, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K -34, Private, 39609, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 111567, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, Germany, >50K -23, Private, 44064, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 2559, 40, United-States, >50K -35, Self-emp-not-inc, 120066, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -41, Private, 132633, 11th, 7, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 25, Guatemala, <=50K -39, Private, 192702, Masters, 14, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -41, Private, 166813, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -33, Self-emp-inc, 40444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 290504, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 178505, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 1504, 45, United-States, <=50K -25, Private, 175370, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -77, Self-emp-not-inc, 72931, 7th-8th, 4, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, Italy, >50K -33, ?, 234542, Assoc-voc, 11, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -66, Private, 284021, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 277974, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 111275, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -45, Self-emp-inc, 191776, Masters, 14, Divorced, Sales, Unmarried, White, Female, 25236, 0, 42, United-States, >50K -28, Private, 125527, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 38294, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 2597, 0, 40, United-States, <=50K -43, Private, 313022, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 4386, 0, 40, United-States, >50K -39, Private, 179668, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K -33, Private, 198660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 216116, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K -62, Private, 200922, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 153372, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 406603, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 6, Iran, <=50K -23, Local-gov, 248344, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -48, Private, 240629, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, >50K -38, Private, 314310, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 259785, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Private, 127111, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -29, Private, 178272, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Local-gov, 75134, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -19, Private, 195985, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 221955, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 39, Mexico, <=50K -34, Private, 177675, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 182828, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -33, Self-emp-not-inc, 270889, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -43, Private, 183096, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -27, Private, 336951, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K -33, State-gov, 295589, Some-college, 10, Separated, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -26, Private, 289980, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, Mexico, <=50K -56, Self-emp-inc, 70720, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K -46, Private, 163352, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K -38, Private, 190776, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -90, Private, 313986, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -72, Self-emp-inc, 473748, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, >50K -20, Private, 163003, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K -29, Private, 183061, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K -49, Private, 123584, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, <=50K -23, Private, 120910, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 227554, Some-college, 10, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 18, United-States, <=50K -57, Private, 182677, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 4508, 0, 40, South, <=50K -46, Private, 214955, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 209768, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 258120, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, Jamaica, <=50K -49, Private, 110015, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Greece, <=50K -54, Private, 152652, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -46, Federal-gov, 43206, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 50, United-States, >50K -31, Self-emp-not-inc, 114639, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Self-emp-inc, 221172, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -18, ?, 128538, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 6, United-States, <=50K -19, Private, 131615, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 353824, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 178417, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 178644, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 271665, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, ?, 223732, Some-college, 10, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Federal-gov, 169003, 12th, 8, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -52, State-gov, 338816, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -34, Private, 506858, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, >50K -28, Private, 265628, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 173495, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 177413, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 31670, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K -49, Private, 154451, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -35, Private, 265535, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 50, Jamaica, >50K -31, Private, 118941, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -18, Private, 214617, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -47, Local-gov, 265097, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 4386, 0, 40, United-States, >50K -46, Private, 276087, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 50, United-States, <=50K -43, Private, 124692, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Federal-gov, 306784, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K -21, Private, 434102, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, ?, 387641, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 181824, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 35, United-States, >50K -39, Local-gov, 177907, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K -58, Private, 87329, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K -36, Private, 263130, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 262882, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 37546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 35, United-States, >50K -19, Private, 27433, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 393945, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -26, Private, 173927, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, Other, Female, 0, 0, 60, Jamaica, <=50K -38, Private, 343403, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -36, Private, 111128, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 193882, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 310864, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -41, Private, 128354, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 25, United-States, >50K -33, Private, 113364, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -63, ?, 198559, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K -51, Private, 136913, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 115488, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 154227, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 279667, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Self-emp-not-inc, 281030, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 66, United-States, <=50K -19, Private, 283945, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -47, Private, 454989, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -26, Private, 391349, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, State-gov, 166704, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K -36, Private, 151835, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K -60, Private, 199085, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 61487, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 120251, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 14, United-States, <=50K -42, Private, 273230, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 90, United-States, <=50K -36, Private, 358373, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 36, United-States, <=50K -35, Private, 267891, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K -22, Private, 234880, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -54, Private, 48358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 96452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -55, Private, 204751, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -57, Private, 375868, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 413373, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 36, United-States, <=50K -24, Private, 537222, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Local-gov, 33975, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-inc, 162327, 11th, 7, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 182691, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 44, United-States, <=50K -36, Private, 300829, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -51, Local-gov, 114508, 9th, 5, Separated, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 214627, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -42, Private, 129684, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Female, 5455, 0, 50, United-States, <=50K -25, State-gov, 120041, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 361138, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 76893, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 205424, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, >50K -61, Private, 176839, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -40, Private, 229148, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K -58, Self-emp-inc, 154537, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, >50K -52, Private, 181901, HS-grad, 9, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K -18, Private, 152004, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -27, Private, 205188, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 30840, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 45, United-States, <=50K -63, Private, 66634, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K -38, Self-emp-not-inc, 180220, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 291052, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2051, 40, United-States, <=50K -40, Self-emp-not-inc, 99651, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, Private, 327723, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 32291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K -31, Private, 345122, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K -32, Private, 127384, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -30, Private, 363296, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 72, United-States, <=50K -39, Local-gov, 86551, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K -28, Private, 30070, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 595000, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -21, ?, 152328, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -33, ?, 177824, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, State-gov, 111483, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 199555, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K -42, Private, 50018, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -36, Private, 218490, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -39, Private, 49020, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K -61, Private, 213321, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 40, United-States, <=50K -31, Private, 159187, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 83033, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K -39, Self-emp-not-inc, 31848, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2829, 0, 90, United-States, <=50K -34, Self-emp-not-inc, 24961, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K -21, Private, 182117, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -75, Self-emp-not-inc, 146576, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, >50K -21, Private, 176690, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K -81, Private, 122651, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K -54, Self-emp-inc, 149650, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -34, Private, 454508, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, Iran, <=50K -54, Self-emp-not-inc, 269068, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, Philippines, >50K -41, Private, 266530, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K -61, ?, 198542, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 133144, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 2580, 0, 20, United-States, <=50K -24, Private, 217961, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 221661, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K -44, Local-gov, 60735, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K -47, Self-emp-not-inc, 121124, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 48588, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 48087, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -53, Self-emp-not-inc, 240138, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -63, Private, 273010, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3471, 0, 40, United-States, <=50K -44, Private, 104196, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -37, Private, 230035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K -28, Private, 38918, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Germany, >50K -71, ?, 205011, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -57, Private, 176079, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 180052, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K -33, Local-gov, 173005, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1848, 45, United-States, >50K -30, Private, 378723, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K -20, Private, 233624, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 192591, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -54, Private, 249860, 11th, 7, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 10, United-States, <=50K -20, Private, 247564, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 238912, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 190227, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, State-gov, 293287, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 180807, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 250217, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 70, United-States, <=50K -19, Private, 217418, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K -22, Local-gov, 137510, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -59, State-gov, 163047, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -18, Private, 577521, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 13, United-States, <=50K -22, Private, 221533, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -42, Local-gov, 255675, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 114079, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 155781, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 243762, 11th, 7, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 113062, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 7, United-States, <=50K -67, Private, 217028, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 110723, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -47, Federal-gov, 191858, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 179423, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K -20, Private, 339588, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Peru, <=50K -22, Private, 206815, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K -47, State-gov, 103743, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 235683, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -64, ?, 207321, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -35, State-gov, 197495, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -52, Federal-gov, 424012, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 178469, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -73, Self-emp-inc, 92886, 10th, 6, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Canada, <=50K -38, Self-emp-not-inc, 214008, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -59, Self-emp-not-inc, 325732, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 52, United-States, >50K -35, Private, 28572, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 35, United-States, <=50K -18, Private, 118376, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -24, Private, 51799, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -33, Local-gov, 115488, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 190621, Some-college, 10, Divorced, Exec-managerial, Other-relative, Black, Female, 0, 0, 55, United-States, <=50K -55, Private, 193568, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 192878, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 264663, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K -22, Private, 234731, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 308373, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -45, Private, 205644, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K -47, Local-gov, 321851, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -56, Private, 206399, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 124563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 198211, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -17, Private, 130795, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -44, Private, 71269, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Self-emp-not-inc, 319280, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -35, Private, 125933, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -27, Private, 107236, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 32732, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -68, Private, 284763, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -20, Private, 112668, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -33, Private, 376483, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -24, Private, 402778, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -48, Private, 36177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 125489, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -48, Private, 304791, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 209205, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -60, ?, 112821, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K -39, Local-gov, 178100, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 70261, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -23, State-gov, 186634, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 32958, Some-college, 10, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 254746, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 158746, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 140854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 51506, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 189564, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K -37, Federal-gov, 325538, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -58, Private, 213975, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 431426, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 2, United-States, <=50K -48, Private, 199763, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K -63, Private, 161563, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -24, Local-gov, 252024, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K -43, Private, 43945, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 178487, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 604506, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Male, 0, 0, 72, Mexico, <=50K -36, Private, 228157, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K -43, Private, 199191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -27, Private, 189775, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -17, Private, 171080, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -45, Private, 117310, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -41, Self-emp-inc, 82049, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 126094, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K -18, ?, 202516, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -48, Local-gov, 246392, Assoc-acdm, 12, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -51, ?, 69328, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 292803, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -54, Private, 286989, Preschool, 1, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 190483, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 48, Iran, <=50K -19, Private, 235849, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K -47, Private, 359766, 7th-8th, 4, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 128016, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -46, Private, 360096, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -30, Private, 170154, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -35, Private, 337286, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -52, Private, 204322, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K -73, Self-emp-not-inc, 143833, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 18, United-States, <=50K -17, Private, 365613, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Canada, <=50K -32, Private, 100135, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -43, Local-gov, 180096, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -19, ?, 371827, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, Portugal, <=50K -26, Private, 61270, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Columbia, <=50K -41, Federal-gov, 564135, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 198759, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -52, State-gov, 303462, Some-college, 10, Separated, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 193106, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -57, Private, 250201, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 52, United-States, <=50K -35, Private, 200426, Assoc-voc, 11, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -33, Private, 222654, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 53366, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 132222, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K -17, Private, 100828, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, Private, 31264, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -39, Private, 202027, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -34, Self-emp-not-inc, 168906, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -37, Self-emp-not-inc, 255454, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 245524, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -27, Private, 386040, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -21, Private, 35424, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -59, ?, 93655, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 152629, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3103, 0, 40, United-States, >50K -53, Self-emp-not-inc, 151159, 10th, 6, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -26, Private, 410240, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 138970, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 269722, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -34, Private, 223678, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K -54, State-gov, 197184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K -36, Private, 143486, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K -60, Private, 160625, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K -50, Private, 140516, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Local-gov, 85341, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 108293, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 2205, 40, United-States, <=50K -40, Self-emp-not-inc, 192507, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -30, Private, 186932, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -65, Self-emp-not-inc, 223580, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 6514, 0, 40, United-States, >50K -31, Private, 236861, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -46, Local-gov, 327886, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 407618, 9th, 5, Divorced, ?, Not-in-family, White, Female, 2050, 0, 40, United-States, <=50K -62, Self-emp-inc, 197060, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 229180, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K -24, Private, 284317, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -24, Private, 73514, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Philippines, <=50K -27, Private, 47907, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -43, State-gov, 134782, Assoc-acdm, 12, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -48, Private, 118831, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -41, Private, 299505, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 267161, Some-college, 10, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 45, United-States, <=50K -38, Private, 119177, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 327886, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -45, Private, 187730, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 109015, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -46, Self-emp-not-inc, 110015, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, Greece, <=50K -24, Private, 104146, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 50442, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K -35, Private, 57640, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -37, Local-gov, 333664, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 224858, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 290641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -60, ?, 191118, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1848, 40, United-States, >50K -25, Private, 34402, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 60, United-States, <=50K -33, Private, 245378, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 179136, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 116788, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 129699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 39606, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K -44, Self-emp-inc, 95150, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -63, Private, 102479, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 199191, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K -31, Private, 229636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Mexico, <=50K -26, Private, 53833, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K -37, Self-emp-inc, 27997, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -60, ?, 124487, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -33, Private, 111363, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 107630, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 134287, Assoc-voc, 11, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -46, Self-emp-inc, 283004, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 63, Thailand, <=50K -24, Private, 33616, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -47, Local-gov, 121124, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -27, Private, 188189, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 106255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Federal-gov, 282830, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -47, Private, 243904, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, Honduras, <=50K -69, Private, 165017, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Male, 2538, 0, 40, United-States, <=50K -32, Private, 131584, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -51, Private, 427781, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 334291, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Local-gov, 173224, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 87507, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K -32, Private, 187560, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3908, 0, 40, United-States, <=50K -27, Private, 204497, 10th, 6, Divorced, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 75, United-States, <=50K -60, Private, 230545, 7th-8th, 4, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Cuba, <=50K -31, Private, 118161, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 150499, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Local-gov, 96554, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 288551, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 52, United-States, >50K -69, Self-emp-not-inc, 104003, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -54, Self-emp-inc, 124963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 198388, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 126204, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 91709, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -34, Self-emp-not-inc, 152109, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Self-emp-not-inc, 191954, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -63, Private, 108097, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 10566, 0, 45, United-States, <=50K -29, Local-gov, 289991, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -64, Private, 92115, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 320277, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 33610, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 168276, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, State-gov, 175127, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 38, United-States, >50K -37, Private, 254973, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, >50K -37, Private, 95336, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -63, Private, 346975, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 36, United-States, >50K -33, Private, 227282, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 138153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -57, Local-gov, 174132, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1977, 40, United-States, >50K -31, Private, 182237, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K -20, ?, 111252, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -58, Local-gov, 217775, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -20, ?, 168863, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 394503, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 141657, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 125441, 11th, 7, Never-married, Other-service, Own-child, White, Male, 1055, 0, 20, United-States, <=50K -26, Private, 172230, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 282944, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Local-gov, 55377, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K -35, State-gov, 49352, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -32, Private, 213887, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -61, Self-emp-not-inc, 24046, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -26, State-gov, 208122, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -56, Private, 176118, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -22, Private, 227994, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 39, United-States, <=50K -49, Private, 215389, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K -40, Private, 99434, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, United-States, <=50K -37, Private, 190964, HS-grad, 9, Separated, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 113700, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 259840, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -27, Private, 168827, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 28984, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 182211, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 82393, Some-college, 10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -28, Private, 183639, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K -38, Private, 342448, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -47, State-gov, 469907, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1740, 40, United-States, <=50K -28, Local-gov, 211920, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, State-gov, 33658, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -41, Federal-gov, 34178, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 400630, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K -73, Self-emp-not-inc, 161251, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -21, Private, 255685, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K -38, Private, 199256, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -64, ?, 143716, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K -47, Private, 221666, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 145409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 60, Canada, >50K -24, Private, 39615, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 104440, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 151382, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 974, 40, United-States, <=50K -61, Self-emp-not-inc, 503675, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K -58, Private, 306233, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -51, Private, 216475, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1564, 43, United-States, >50K -49, Private, 50748, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 55, England, <=50K -23, Private, 107190, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -19, Private, 206874, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 83141, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K -56, Private, 444089, 11th, 7, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 141896, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Federal-gov, 33487, Some-college, 10, Divorced, Tech-support, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -41, Private, 65372, Doctorate, 16, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K -30, Private, 341346, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 343403, Doctorate, 16, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, ?, <=50K -47, Private, 287480, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-inc, 107287, 10th, 6, Widowed, Exec-managerial, Unmarried, White, Female, 0, 2559, 50, United-States, >50K -55, Private, 199067, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 32, United-States, <=50K -22, ?, 182771, Assoc-voc, 11, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -31, Private, 159737, 10th, 6, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 110643, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 40, United-States, >50K -24, Private, 117583, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 48, United-States, <=50K -49, Self-emp-not-inc, 43479, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 203003, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, Germany, <=50K -50, Private, 133963, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 227794, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, Self-emp-not-inc, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K -49, Self-emp-not-inc, 110457, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Private, 281565, HS-grad, 9, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K -46, Federal-gov, 297906, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -19, Private, 151506, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -31, Federal-gov, 139455, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Cuba, <=50K -38, Private, 26987, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 233312, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 161092, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 98361, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 188928, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 164922, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 185673, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 193598, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -56, Private, 274111, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -32, Private, 245482, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -56, Private, 160932, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K -50, Private, 44368, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 291374, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -30, Private, 280927, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 222993, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Federal-gov, 25240, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 204052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 74054, 11th, 7, Never-married, Sales, Own-child, Other, Female, 0, 0, 20, ?, <=50K -46, Private, 169042, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, Ecuador, <=50K -31, Private, 104509, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 65, United-States, >50K -38, Local-gov, 185394, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K -44, Local-gov, 254146, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-inc, 227856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K -19, Private, 183041, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 107682, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -50, Self-emp-inc, 287598, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -53, Private, 182186, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K -41, Self-emp-inc, 194636, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 65, United-States, >50K -45, Private, 112305, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 212661, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -37, Private, 32709, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Federal-gov, 46366, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 24106, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K -46, Private, 170850, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1590, 40, ?, <=50K -45, Self-emp-not-inc, 40666, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 182975, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 345122, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, ?, 208311, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, >50K -37, Private, 120045, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K -18, ?, 201299, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 152940, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 243580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 182128, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 6497, 0, 50, United-States, <=50K -36, ?, 176458, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K -33, Private, 101562, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 108699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 175878, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Female, 0, 0, 40, United-States, <=50K -34, Local-gov, 177675, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -33, Private, 213887, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 357619, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, Germany, <=50K -23, Private, 435835, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1669, 55, United-States, <=50K -39, Private, 165799, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 71469, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -19, Private, 229745, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Private, 284916, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K -46, Private, 28419, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 26950, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K -47, Self-emp-not-inc, 107231, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -52, Local-gov, 512103, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 245090, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -58, Private, 314153, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 243988, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -54, Self-emp-not-inc, 82551, Assoc-voc, 11, Married-civ-spouse, Tech-support, Other-relative, White, Female, 0, 0, 10, United-States, <=50K -20, Private, 42706, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -25, Private, 235795, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -25, Self-emp-not-inc, 108001, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -36, State-gov, 112497, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1876, 44, United-States, <=50K -69, Self-emp-not-inc, 128206, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 224634, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -20, Private, 362999, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 346693, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 175759, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 99199, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 32, United-States, <=50K -25, ?, 219987, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K -39, Private, 143445, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 118710, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Local-gov, 224185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 118972, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 165360, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 38950, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 89, United-States, <=50K -42, Self-emp-inc, 277256, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K -29, Private, 247151, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 213722, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 209955, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -41, Private, 174395, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 138626, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K -22, ?, 179973, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 200207, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 44, United-States, <=50K -19, Private, 156587, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -24, Private, 33016, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 197496, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, ?, <=50K -32, Private, 153588, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 99736, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 15020, 0, 50, United-States, >50K -36, Private, 284166, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K -18, Private, 716066, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 188519, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 109080, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -52, Private, 174421, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -24, Private, 259351, Some-college, 10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K -42, Federal-gov, 284403, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 85319, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 60, United-States, >50K -20, ?, 201766, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -20, State-gov, 340475, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -39, Private, 487486, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, ?, <=50K -68, ?, 484298, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 170617, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -54, Private, 94055, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 117779, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 209770, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -20, Private, 317443, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -64, ?, 140237, Preschool, 1, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 107411, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -36, Self-emp-not-inc, 122493, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K -44, Self-emp-inc, 195124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, ?, <=50K -38, Private, 101978, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 2258, 55, United-States, >50K -22, Private, 335453, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -56, Private, 318329, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 100321, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Self-emp-not-inc, 81145, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K -22, Private, 62865, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 176262, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K -42, Private, 168103, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Local-gov, 208174, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -19, Private, 188815, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 34095, 0, 20, United-States, <=50K -67, Self-emp-not-inc, 226092, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, United-States, <=50K -20, Private, 212668, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -32, Private, 381583, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K -46, Private, 239439, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 172493, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -44, Private, 239876, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -65, ?, 221881, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K -37, Local-gov, 218184, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -27, Self-emp-not-inc, 206889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 110668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 35, United-States, <=50K -30, Private, 211028, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -64, Local-gov, 202984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K -48, Private, 20296, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, >50K -35, Private, 194690, 7th-8th, 4, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 204984, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -63, Self-emp-not-inc, 35021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 32, China, >50K -40, Self-emp-not-inc, 238574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -33, Private, 345360, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 192381, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 479765, 7th-8th, 4, Never-married, Sales, Other-relative, White, Male, 0, 0, 45, Guatemala, <=50K -45, Self-emp-inc, 34091, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -30, Private, 151773, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 299080, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -63, Private, 135339, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 2105, 0, 40, Vietnam, <=50K -27, Local-gov, 52156, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 318647, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 80145, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -39, State-gov, 343646, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Mexico, >50K -42, Self-emp-not-inc, 198692, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 266635, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -31, Private, 197672, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 185846, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 315110, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 220754, Doctorate, 16, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 64292, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 126060, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -52, Private, 78012, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 1762, 40, United-States, <=50K -32, Private, 210562, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 46, United-States, <=50K -23, Private, 350181, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 233421, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -53, Private, 167170, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 260801, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 173370, Bachelors, 13, Separated, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -27, Private, 135520, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K -30, Private, 121308, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 444743, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 65225, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -58, State-gov, 136982, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 40, Honduras, <=50K -45, State-gov, 271962, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 204046, 10th, 6, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 225823, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 183009, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 1590, 40, United-States, <=50K -50, Private, 121038, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 49092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 148709, HS-grad, 9, Separated, Handlers-cleaners, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 209205, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 285865, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -22, Federal-gov, 216129, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -37, Federal-gov, 40955, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Japan, <=50K -54, Private, 197189, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 33001, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 227399, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 164050, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K -49, Private, 259087, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 236262, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -26, Private, 177929, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -48, Private, 166929, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, ?, >50K -32, Private, 199963, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, State-gov, 98776, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 135056, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -40, Self-emp-not-inc, 55363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K -42, State-gov, 102343, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 72, India, >50K -30, Private, 231263, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 226913, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -36, Private, 129573, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Private, 191001, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Federal-gov, 69345, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -38, Private, 204556, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 192626, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Private, 202812, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 405177, 10th, 6, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 227890, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, >50K -33, Private, 101352, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -49, Private, 82572, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -28, Private, 132686, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Local-gov, 149210, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 15024, 0, 40, United-States, >50K -27, Private, 245661, HS-grad, 9, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 483596, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2885, 0, 32, United-States, <=50K -42, State-gov, 104663, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Italy, >50K -30, Private, 347166, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -37, Local-gov, 108540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 333305, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K -51, Private, 155408, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -27, Federal-gov, 246372, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 30290, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 347321, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 205852, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -40, Federal-gov, 163215, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -54, State-gov, 93449, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -47, Self-emp-inc, 116927, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -35, Private, 164526, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Yugoslavia, >50K -33, Private, 31573, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 125159, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, Haiti, <=50K -39, State-gov, 201105, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K -25, ?, 122745, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 1602, 40, United-States, <=50K -33, Private, 150570, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 118941, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K -53, Private, 141388, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 174714, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -31, State-gov, 75755, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K -63, Private, 133144, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -21, Self-emp-not-inc, 318865, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -59, Private, 109638, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 92969, 1st-4th, 2, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -66, ?, 376028, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 144161, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 183778, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 398904, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 170846, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -35, Local-gov, 204277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 205152, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 225395, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 60, Mexico, <=50K -38, Private, 33975, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, >50K -49, Private, 147032, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 8, Philippines, <=50K -64, Private, 174826, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Local-gov, 232769, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 36984, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -21, Private, 292264, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -26, Private, 303973, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 1602, 15, Mexico, <=50K -23, Private, 287988, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -67, Self-emp-inc, 330144, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -24, Private, 191948, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 324601, 1st-4th, 2, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K -38, State-gov, 200289, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K -20, Private, 113307, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 194087, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 155213, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -58, Private, 175127, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 358461, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -37, State-gov, 354929, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K -53, State-gov, 104501, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -45, Private, 112929, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -33, Private, 132832, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, State-gov, 357691, Masters, 14, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 114605, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -60, Self-emp-not-inc, 525878, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 68358, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -38, Private, 174571, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, <=50K -40, Private, 42703, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 220589, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Self-emp-not-inc, 197558, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K -27, Private, 423250, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Self-emp-not-inc, 29254, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -20, ?, 308924, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -49, Local-gov, 276247, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 213841, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 181677, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, >50K -46, Private, 160061, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 285295, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K -43, Private, 265266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 222115, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K -25, State-gov, 194954, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K -48, Private, 156926, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 217414, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -37, Private, 538443, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K -18, ?, 192399, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 383493, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -60, Private, 193235, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 24, United-States, <=50K -37, Self-emp-inc, 99452, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K -44, Local-gov, 254134, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 90446, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 116613, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Portugal, <=50K -42, Local-gov, 238188, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -17, Private, 95909, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -41, Private, 82319, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K -34, Private, 182274, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1887, 40, United-States, >50K -56, Private, 179625, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -28, Private, 119793, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 254989, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 104830, 7th-8th, 4, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 25, Guatemala, <=50K -49, Federal-gov, 110373, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-not-inc, 135416, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, <=50K -25, Private, 298225, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -42, Private, 166740, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 213668, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -26, Private, 276624, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 226789, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 58, United-States, <=50K -37, Private, 31023, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -39, Local-gov, 116666, HS-grad, 9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male, 4650, 0, 48, United-States, <=50K -42, Private, 136986, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -41, Private, 179580, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, >50K -23, Private, 103277, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -31, Federal-gov, 351141, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 191161, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 57, United-States, >50K -20, Private, 148709, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -36, Private, 128382, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 144361, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 172538, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 102476, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 27828, 0, 50, United-States, >50K -39, Private, 46028, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -32, Private, 198452, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 193895, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 233421, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 45, United-States, <=50K -50, Private, 378747, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -42, Private, 31251, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 37, United-States, <=50K -32, Private, 71540, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 194772, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -20, Private, 34568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3781, 0, 35, United-States, <=50K -50, Self-emp-not-inc, 36480, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -18, Private, 116528, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -60, Private, 52152, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 216690, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K -42, Local-gov, 227065, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K -49, Private, 84013, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -35, Self-emp-inc, 82051, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 176185, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Iran, <=50K -59, Private, 115414, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Self-emp-inc, 493034, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 13550, 0, 50, United-States, >50K -55, Private, 354923, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 393712, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -39, Private, 98941, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 141483, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 172479, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -21, Private, 226145, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -23, Private, 394612, Bachelors, 13, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 231085, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -55, Self-emp-not-inc, 183810, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -19, Private, 186159, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 162282, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -46, Private, 219021, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 44, United-States, >50K -23, Private, 273206, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K -47, Self-emp-inc, 332355, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -23, Private, 102729, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -42, Private, 198096, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -22, State-gov, 292933, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -18, Private, 135924, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 99146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -34, Private, 27409, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 299507, Assoc-acdm, 12, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 102631, Some-college, 10, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -51, Private, 153486, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 434292, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K -28, Self-emp-not-inc, 240172, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 219426, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 295791, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 114032, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 45, United-States, >50K -23, Local-gov, 496382, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K -33, Private, 376483, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 30, United-States, <=50K -27, Private, 107218, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -21, Private, 246207, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -18, ?, 80564, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 83089, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, Mexico, >50K -37, Local-gov, 328301, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -39, Local-gov, 301614, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 199739, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K -24, Private, 180060, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 2354, 0, 40, United-States, <=50K -26, Private, 121040, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 125550, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -34, Private, 170772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 180551, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 48189, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 432154, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 8, Mexico, <=50K -26, Private, 263200, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -47, Private, 123207, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -17, Private, 110798, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -53, Private, 238481, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, <=50K -31, Private, 185528, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -34, Private, 181311, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 528616, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -39, Private, 272950, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -22, ?, 195532, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 197583, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 48612, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -54, Local-gov, 31533, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -32, Federal-gov, 148138, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2002, 40, Iran, <=50K -29, Local-gov, 30069, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 2635, 0, 40, United-States, <=50K -68, ?, 170182, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 230885, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K -54, Private, 174102, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -23, Private, 352606, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 241153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -54, Private, 155433, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 109414, Some-college, 10, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 1974, 40, United-States, <=50K -40, Private, 125461, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -19, Private, 331556, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, ?, 138575, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -35, Private, 223514, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 115418, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2174, 0, 45, United-States, <=50K -38, Private, 193026, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 1408, 40, ?, <=50K -41, Private, 147206, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 174592, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 268620, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -70, Self-emp-not-inc, 150886, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -45, Private, 112362, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -83, Private, 195507, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -59, Private, 192983, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 120544, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 15, United-States, <=50K -31, Private, 59083, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 208277, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -24, Local-gov, 184678, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 278736, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Local-gov, 39464, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -27, Private, 162343, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K -41, Private, 204046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 255647, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, Mexico, <=50K -53, Private, 123011, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -66, Self-emp-not-inc, 291362, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 159187, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -30, State-gov, 126414, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 227626, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 173783, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -74, Private, 211075, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 176756, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1485, 70, United-States, >50K -35, Self-emp-not-inc, 31095, Some-college, 10, Separated, Farming-fishing, Not-in-family, White, Male, 4101, 0, 60, United-States, <=50K -51, Self-emp-not-inc, 32372, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 70, United-States, <=50K -40, Private, 331651, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 146325, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -26, Private, 515025, 10th, 6, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 394474, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -32, Private, 400535, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3781, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 337505, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -42, Private, 211860, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 102684, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -62, ?, 225657, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -33, Private, 121966, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 396790, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -46, Local-gov, 149949, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 252187, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 209934, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -29, Federal-gov, 229300, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -33, Private, 170769, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K -50, Private, 200618, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 216984, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -40, Private, 212760, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 150309, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K -54, Private, 174655, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 109621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 225124, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 172695, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 27, El-Salvador, <=50K -71, Self-emp-not-inc, 238479, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K -27, Private, 37754, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K -56, Private, 85018, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -64, Private, 256466, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Philippines, >50K -23, Private, 169188, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K -36, Private, 210945, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Local-gov, 287031, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 224361, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Federal-gov, 108464, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 75826, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 120277, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 104439, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -27, Private, 56870, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 200819, 12th, 8, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 170562, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 20, United-States, <=50K -30, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 33088, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 112763, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 7430, 0, 36, United-States, >50K -29, Private, 177651, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 261943, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 169785, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Italy, <=50K -20, Private, 141481, 11th, 7, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 433491, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 86615, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -39, Private, 125550, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -46, State-gov, 421223, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 26999, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -36, Self-emp-not-inc, 241998, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 20, United-States, >50K -34, ?, 133861, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -44, Private, 115323, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Self-emp-inc, 23778, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -28, Self-emp-not-inc, 190836, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Self-emp-inc, 159179, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -64, ?, 205479, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -19, ?, 47713, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 163237, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -61, Private, 202202, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 168837, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 112271, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 52537, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 30, United-States, <=50K -27, Private, 38353, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 141698, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 28856, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 175652, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 15, United-States, <=50K -36, Private, 213008, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 196501, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K -63, Private, 118798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K -51, Private, 92463, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, State-gov, 125165, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -42, Self-emp-not-inc, 103980, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, ?, 180362, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 53903, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 179735, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -41, ?, 277390, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, >50K -49, Private, 122177, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 80, United-States, <=50K -46, Private, 188161, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 170108, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 175262, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Mexico, <=50K -19, ?, 204441, HS-grad, 9, Never-married, ?, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K -19, Private, 164395, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -18, Private, 115630, 11th, 7, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -39, Private, 178815, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -60, Self-emp-not-inc, 168223, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -46, Local-gov, 202560, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K -38, Private, 100295, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, Canada, >50K -36, Private, 172256, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K -45, Private, 51664, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, State-gov, 358893, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2339, 40, United-States, <=50K -30, Private, 115963, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 333910, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -23, Private, 148948, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -48, State-gov, 130561, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K -46, Private, 428350, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -43, Private, 188808, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 112847, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, Other, Male, 0, 0, 40, United-States, <=50K -50, Private, 110748, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-inc, 156653, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 196491, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -65, Local-gov, 254413, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 91262, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, <=50K -43, Self-emp-not-inc, 154785, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 80, Thailand, <=50K -55, Private, 84231, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 226327, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 248406, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 32, United-States, <=50K -35, Private, 54317, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K -22, ?, 32732, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 95918, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 375675, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K -43, Private, 244172, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -46, Federal-gov, 233555, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -39, Private, 326342, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 2635, 0, 37, United-States, <=50K -34, Private, 77271, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 20, England, <=50K -35, Private, 33397, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 446358, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 41, United-States, <=50K -25, Private, 151810, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 28, United-States, <=50K -44, Private, 125461, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -35, Private, 133906, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 155106, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Federal-gov, 203637, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -32, Private, 232766, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 305319, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 121023, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -29, Private, 198997, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -38, Private, 167140, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K -20, Private, 38772, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 253759, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 130067, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -37, Private, 203828, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, State-gov, 221558, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 24, ?, <=50K -31, Private, 156464, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 72333, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -33, Local-gov, 83671, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K -31, Private, 339482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K -19, Private, 91928, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -44, Private, 99203, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-inc, 455995, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K -62, Private, 192515, HS-grad, 9, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -65, Self-emp-not-inc, 111483, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2174, 10, United-States, >50K -17, Private, 221129, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 85413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K -31, Private, 196125, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 265638, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 177727, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 205822, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 112607, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Federal-gov, 177595, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K -18, Private, 183315, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 10, United-States, <=50K -47, Private, 116279, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -38, Federal-gov, 122493, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4064, 0, 40, United-States, <=50K -37, Private, 215419, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K -40, Private, 310101, Some-college, 10, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-inc, 61885, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K -43, Private, 59107, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K -32, Private, 227214, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, Ecuador, <=50K -64, Private, 239450, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 118847, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -40, Self-emp-not-inc, 95226, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -17, ?, 659273, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K -23, Private, 215395, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 170600, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 91044, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -27, Private, 318639, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, Mexico, <=50K -23, Private, 160398, Some-college, 10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 216824, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K -35, Private, 308945, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 75, United-States, <=50K -47, Private, 30840, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -33, Private, 99309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 188576, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -46, Private, 83064, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 403865, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K -40, Private, 235786, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -44, Private, 191893, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -31, Local-gov, 149184, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 97, United-States, >50K -37, Private, 152909, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K -23, Private, 435604, Assoc-voc, 11, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-inc, 109282, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -31, Private, 248178, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, United-States, <=50K -24, ?, 112683, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -32, Private, 209103, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3464, 0, 40, United-States, <=50K -27, Private, 183639, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 107233, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, <=50K -27, Private, 175387, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K -30, Self-emp-not-inc, 178255, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, ?, <=50K -33, Self-emp-not-inc, 38223, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K -34, Private, 228873, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 202182, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Local-gov, 425092, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 152587, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 39089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K -51, Private, 204304, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -40, Private, 116103, Some-college, 10, Separated, Craft-repair, Unmarried, White, Male, 4934, 0, 47, United-States, >50K -53, Private, 290640, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -58, Federal-gov, 81973, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 1485, 40, United-States, >50K -29, Private, 134890, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 452924, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -57, Private, 245193, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -69, State-gov, 34339, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 184756, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -56, Private, 392160, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 25, Mexico, <=50K -49, Private, 168337, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 309513, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -70, Private, 77219, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K -44, Private, 212888, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -37, Private, 361888, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -58, Local-gov, 237879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, <=50K -42, Self-emp-not-inc, 93099, Some-college, 10, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K -41, Private, 225193, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 50814, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Local-gov, 123681, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K -24, Private, 249351, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 222311, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 7688, 0, 55, United-States, >50K -18, Private, 301762, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -50, Private, 195298, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -69, Private, 541737, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 2050, 0, 24, United-States, <=50K -84, Private, 241065, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K -47, Private, 129513, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 374262, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 382146, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -48, ?, 185291, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -53, Private, 30447, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 49893, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 197387, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 24, Mexico, <=50K -36, Self-emp-not-inc, 111957, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K -34, Private, 340458, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 185670, 1st-4th, 2, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 21, Mexico, <=50K -37, Private, 210945, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 24, United-States, <=50K -43, Private, 350661, Prof-school, 15, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 50, Columbia, >50K -42, Private, 190543, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -21, Private, 70261, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -49, Self-emp-not-inc, 179048, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Greece, <=50K -35, Private, 242094, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 117634, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 82531, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 193374, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -30, ?, 186420, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 323605, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -56, Private, 371064, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 39927, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -22, Private, 64292, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K -33, Private, 198660, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 99999, 0, 56, United-States, >50K -54, ?, 196975, HS-grad, 9, Divorced, ?, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 210165, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -68, Private, 144137, Some-college, 10, Divorced, Priv-house-serv, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -56, Local-gov, 155657, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, ?, 72953, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -69, Self-emp-not-inc, 107548, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 163258, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 221324, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 444822, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, Mexico, <=50K -17, Private, 154398, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 16, Haiti, <=50K -31, Private, 120672, 11th, 7, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 1721, 40, United-States, <=50K -50, Private, 159650, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K -62, Private, 290754, 10th, 6, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 49654, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 52, United-States, <=50K -20, Federal-gov, 147352, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 227943, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -18, Private, 423024, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -53, ?, 64322, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 445940, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -23, Private, 230824, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 48882, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 168195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -53, Local-gov, 188644, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -28, Private, 136077, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, State-gov, 119793, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 336513, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -58, Private, 186991, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, ?, 218948, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, Mexico, <=50K -26, Private, 211435, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 280169, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3456, 0, 8, United-States, <=50K -27, Private, 109997, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 286789, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 102460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 287160, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -39, Private, 198097, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -52, Private, 119111, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 174461, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -26, Self-emp-not-inc, 281678, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -24, ?, 377725, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 151053, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Local-gov, 186539, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -20, ?, 149478, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -40, Private, 198452, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 198863, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2559, 60, United-States, >50K -33, Private, 176711, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 165310, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 213008, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Japan, <=50K -21, State-gov, 38251, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K -33, Private, 125761, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K -28, Private, 148645, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 273435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K -43, Private, 208613, Bachelors, 13, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 192565, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 183885, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -47, Self-emp-not-inc, 243631, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -37, Private, 191754, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 261278, Some-college, 10, Separated, Sales, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K -55, Private, 127014, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 197919, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 217460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 86551, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-inc, 98051, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, >50K -38, Private, 215917, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -53, Self-emp-not-inc, 192982, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, United-States, <=50K -27, Self-emp-not-inc, 334132, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 78, United-States, <=50K -42, Private, 136986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Private, 116812, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 189123, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 58, United-States, <=50K -26, Private, 89648, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, ?, 190027, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -59, Private, 99248, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 57600, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -25, Private, 199224, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -58, Private, 140363, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K -30, Private, 308812, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -21, Private, 275421, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 213321, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 157747, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 182314, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -70, Private, 220589, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -55, ?, 208640, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K -29, Self-emp-not-inc, 189346, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 2202, 0, 50, United-States, <=50K -46, Private, 124071, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -35, Federal-gov, 20469, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -31, Private, 154227, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K -37, Private, 105044, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -43, Private, 35910, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K -23, Private, 189203, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 116493, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 13550, 0, 44, United-States, >50K -42, Local-gov, 19700, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -26, Private, 48718, 10th, 6, Never-married, Adm-clerical, Not-in-family, White, Female, 2907, 0, 40, United-States, <=50K -45, Private, 106113, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 256263, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, ?, 202498, 7th-8th, 4, Separated, ?, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -38, Private, 120074, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 122922, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -68, Self-emp-not-inc, 116903, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2149, 40, United-States, <=50K -42, Local-gov, 222596, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 107302, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, India, <=50K -36, Private, 156400, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 53373, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -22, Private, 58916, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -45, Local-gov, 167159, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 283806, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 140426, 1st-4th, 2, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, ?, <=50K -36, Local-gov, 61778, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -41, Private, 33310, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 202560, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K -25, Self-emp-not-inc, 60828, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 50, United-States, <=50K -53, State-gov, 153486, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Local-gov, 167536, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -30, Local-gov, 370990, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 198867, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 174924, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 48, Germany, <=50K -30, Private, 175856, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K -41, Private, 169628, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 40, ?, <=50K -29, ?, 125159, Some-college, 10, Never-married, ?, Not-in-family, Black, Male, 0, 0, 36, ?, <=50K -31, Private, 220690, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -36, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 55, United-States, <=50K -59, Self-emp-not-inc, 116878, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Greece, <=50K -33, Self-emp-not-inc, 134737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 81648, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K -49, State-gov, 122177, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Federal-gov, 69614, 10th, 6, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -33, Private, 112115, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K -28, Private, 299422, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -81, ?, 162882, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 112854, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -32, Self-emp-not-inc, 33417, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Federal-gov, 224559, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -44, ?, 468706, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 357028, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 51158, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 7298, 0, 36, United-States, >50K -51, Private, 186303, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 127749, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 291386, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 138054, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 174533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 200835, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 108658, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -43, Private, 180985, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -25, Private, 34803, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K -59, Private, 75867, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Private, 156819, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 61272, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Portugal, <=50K -24, Private, 39827, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Puerto-Rico, <=50K -38, Private, 130007, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 80324, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 322614, Preschool, 1, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 1719, 40, Mexico, <=50K -30, Private, 140869, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -73, Local-gov, 181902, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, Poland, >50K -30, Private, 287908, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 309630, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 28225, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 58, United-States, <=50K -40, ?, 428584, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 3464, 0, 20, United-States, <=50K -18, Private, 39222, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 359131, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 8, ?, >50K -22, Private, 122272, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 198400, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, <=50K -62, ?, 73091, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 283338, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -22, Private, 208946, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 348416, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 379046, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -29, Private, 183887, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 127961, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 211129, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -29, Local-gov, 187649, HS-grad, 9, Separated, Protective-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -49, Federal-gov, 94754, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 231826, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -28, Private, 142764, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -22, Private, 126822, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 60, United-States, <=50K -37, Private, 188069, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 284395, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 31267, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 161444, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Columbia, <=50K -25, Private, 144483, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 133655, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, State-gov, 112074, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 249727, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 22, United-States, <=50K -18, Private, 165754, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -30, Local-gov, 172822, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 288433, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 33331, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 168071, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, <=50K -45, Private, 207277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 130620, Some-college, 10, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 26, India, <=50K -40, Private, 136244, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 972354, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K -20, Private, 245297, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -32, State-gov, 71151, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K -19, Private, 118352, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -21, Private, 117210, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 120068, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 48343, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 84451, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -51, ?, 76437, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 281704, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -54, Private, 123011, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 104729, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 48, United-States, <=50K -29, Private, 110134, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 186067, 10th, 6, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K -47, Private, 214702, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, Puerto-Rico, <=50K -46, Private, 384795, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -30, Private, 175931, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, <=50K -58, Private, 366324, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K -48, Private, 118717, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 219835, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -23, Private, 176486, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K -45, Private, 273435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 182661, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -26, Private, 212304, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K -50, Local-gov, 133963, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K -49, Private, 165152, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -26, Private, 274724, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Nicaragua, <=50K -47, Private, 196707, Prof-school, 15, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 213002, 12th, 8, Never-married, Sales, Not-in-family, White, Male, 4650, 0, 50, United-States, <=50K -19, ?, 26620, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 361481, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -35, Private, 148581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -46, Private, 459189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, >50K -28, Self-emp-not-inc, 214689, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 289364, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K -21, Private, 174907, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 348099, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -30, ?, 104965, 9th, 5, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -31, Private, 31600, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 286282, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -35, Self-emp-not-inc, 181705, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -33, Private, 238912, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 134737, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K -67, ?, 157403, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 6418, 0, 10, United-States, >50K -37, Private, 197429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Private, 47343, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Federal-gov, 67083, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 1471, 0, 40, Cambodia, <=50K -24, Private, 249957, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 175942, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, France, <=50K -50, Private, 192982, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 40, United-States, >50K -40, Private, 209547, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K -33, Private, 142675, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -51, Federal-gov, 190333, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 196396, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 166740, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Local-gov, 174533, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 210867, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, ?, <=50K -37, Private, 118486, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 4934, 0, 32, United-States, >50K -40, Private, 144067, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 106964, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 178136, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 196554, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, >50K -40, Self-emp-not-inc, 403550, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 498216, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 192755, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 20, United-States, >50K -20, ?, 53738, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 156192, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -45, Private, 189802, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, ?, 213149, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 1825, 40, United-States, >50K -35, Self-emp-not-inc, 179171, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 38, Germany, <=50K -32, Private, 77634, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 189830, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K -19, Private, 127190, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -44, ?, 174147, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 138107, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -44, Self-emp-inc, 269733, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -41, State-gov, 227734, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3464, 0, 40, United-States, <=50K -19, Private, 318822, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 48885, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 205424, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -40, Private, 173858, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 42, Cambodia, <=50K -34, Private, 202450, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -20, Private, 154779, Some-college, 10, Never-married, Sales, Other-relative, Other, Female, 0, 0, 40, United-States, <=50K -33, Private, 180551, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 177522, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 277328, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, Cuba, <=50K -34, Private, 112584, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -48, State-gov, 85384, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -32, ?, 123971, 11th, 7, Divorced, ?, Not-in-family, White, Female, 0, 0, 49, United-States, <=50K -42, Private, 69019, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -22, Private, 112847, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 52900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K -42, Private, 37937, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -45, Private, 59380, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -47, Private, 114770, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K -29, Private, 216481, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -34, Private, 176469, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -34, Private, 176831, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -39, Federal-gov, 410034, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 93662, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -42, Self-emp-inc, 144236, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -48, Private, 240917, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -53, Private, 608184, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1902, 40, United-States, >50K -51, Private, 243361, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -44, Self-emp-not-inc, 35166, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 90, United-States, <=50K -46, Self-emp-inc, 182655, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Private, 142717, Doctorate, 16, Divorced, Craft-repair, Not-in-family, White, Female, 4787, 0, 60, United-States, >50K -32, Private, 272944, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, ?, 219233, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 1602, 30, United-States, <=50K -24, Private, 228686, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 236818, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 26, United-States, <=50K -47, Self-emp-not-inc, 117865, HS-grad, 9, Married-AF-spouse, Craft-repair, Husband, White, Male, 0, 0, 90, United-States, <=50K -64, Self-emp-not-inc, 106538, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 153891, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 190909, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 191002, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K -42, Private, 89073, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K -38, Federal-gov, 238342, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 42, United-States, >50K -55, Private, 259532, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, ?, 189282, HS-grad, 9, Married-civ-spouse, ?, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K -42, Private, 132481, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -30, Private, 205659, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, Thailand, >50K -32, Private, 182323, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, ?, 216256, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3464, 0, 30, United-States, <=50K -50, Federal-gov, 166419, 11th, 7, Never-married, Sales, Not-in-family, Black, Female, 3674, 0, 40, United-States, <=50K -27, Private, 152246, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -47, Private, 155659, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 155198, 9th, 5, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -48, Self-emp-not-inc, 100931, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 162945, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -31, Federal-gov, 334346, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 181597, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 133969, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 63, South, <=50K -50, Private, 210217, Bachelors, 13, Divorced, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 169711, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, >50K -57, ?, 300104, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 7298, 0, 84, United-States, >50K -19, Private, 271521, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 24, United-States, <=50K -18, Private, 51255, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -44, Self-emp-not-inc, 26669, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K -54, Private, 194580, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, State-gov, 177974, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -27, State-gov, 315640, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K -50, Self-emp-inc, 136913, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, State-gov, 230961, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 167062, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 120131, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K -30, Private, 171876, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -19, Private, 136866, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 316820, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1485, 40, United-States, <=50K -55, Private, 185459, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -67, ?, 81761, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 43716, Assoc-voc, 11, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 43, United-States, <=50K -30, Private, 220939, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, ?, 148657, Preschool, 1, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K -51, Federal-gov, 40808, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 43, United-States, <=50K -34, Private, 183473, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 108496, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 204838, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -29, Private, 132686, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -17, State-gov, 117906, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 304386, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -52, ?, 248113, Preschool, 1, Married-spouse-absent, ?, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -39, Private, 165215, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 18, United-States, >50K -18, ?, 215463, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 259719, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, Nicaragua, <=50K -25, ?, 35829, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -34, Private, 248795, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -44, Self-emp-not-inc, 124692, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -37, Local-gov, 128054, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 179731, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 65, United-States, >50K -32, Self-emp-inc, 113543, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 252153, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -45, Federal-gov, 45891, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 42, United-States, <=50K -30, Private, 112263, 11th, 7, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 47791, 12th, 8, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -41, Private, 202980, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, Peru, <=50K -21, Private, 34918, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -48, Private, 91251, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K -31, Private, 132996, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 45, United-States, >50K -34, Private, 306215, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 203570, HS-grad, 9, Separated, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 355918, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -35, Self-emp-not-inc, 198841, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 282964, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 312197, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, Mexico, >50K -44, Private, 98779, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 60, United-States, <=50K -32, Private, 200246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 182771, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -23, Private, 199908, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 172104, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 40, India, >50K -53, Self-emp-not-inc, 35295, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K -27, Private, 216858, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -27, Private, 332187, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -57, Private, 255109, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -17, Private, 111332, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -59, Local-gov, 238431, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -34, Private, 131552, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 110239, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -31, State-gov, 255830, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 45, United-States, <=50K -18, ?, 175648, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 82998, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 164320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Self-emp-not-inc, 263498, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 162381, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 229651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 357348, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -19, Private, 269657, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -38, Local-gov, 82880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, United-States, <=50K -19, Private, 389755, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -34, Private, 195136, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K -41, Private, 207685, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, ?, <=50K -23, Private, 222925, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 2105, 0, 40, United-States, <=50K -24, ?, 196388, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -24, Private, 50341, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 214134, 10th, 6, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K -45, Private, 114032, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -45, Private, 192053, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -48, Private, 240231, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K -42, Private, 44402, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -35, Self-emp-not-inc, 191503, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 163530, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 136823, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, <=50K -59, Private, 121912, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Local-gov, 58624, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 74056, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 144259, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 4386, 0, 80, ?, >50K -57, Private, 182028, Assoc-acdm, 12, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 209040, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 206046, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 182494, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 185057, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Scotland, <=50K -60, Private, 147473, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 221722, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14344, 0, 50, United-States, >50K -20, ?, 388811, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 221912, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 48189, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, State-gov, 382272, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 48347, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 143046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 38, United-States, >50K -63, Self-emp-inc, 137940, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -28, Private, 249571, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -79, Private, 121318, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 224531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -29, Private, 185019, 12th, 8, Never-married, Other-service, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K -60, Private, 27886, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 94741, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K -20, Private, 107801, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 2205, 18, United-States, <=50K -44, Private, 191256, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K -47, Private, 256866, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -59, Private, 197148, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, >50K -37, Private, 312271, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -21, Private, 118657, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 224338, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 242488, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 40, United-States, <=50K -23, ?, 234970, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 227915, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 33, United-States, <=50K -40, Local-gov, 105717, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1876, 35, United-States, <=50K -45, Self-emp-not-inc, 160962, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -34, ?, 353881, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 3103, 0, 60, United-States, >50K -22, Private, 188950, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 201328, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 218678, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K -23, Private, 184255, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Federal-gov, 200968, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 45, United-States, >50K -26, Private, 102264, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 300584, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 208946, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -36, Private, 105021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -20, Private, 124751, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K -18, Private, 274057, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 8, United-States, <=50K -38, Private, 132879, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Self-emp-inc, 260960, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -56, Private, 208415, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -42, Private, 356934, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 154410, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 35378, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -73, Private, 301210, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1735, 20, United-States, <=50K -32, Private, 73621, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -37, Private, 108140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -66, Private, 217198, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 10, United-States, <=50K -22, Private, 157332, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -51, Private, 202956, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 173495, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -65, Private, 149811, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2206, 59, Canada, <=50K -39, Private, 444219, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 45, United-States, <=50K -48, Private, 125120, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K -20, Private, 190429, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, ?, 190303, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 248164, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, >50K -29, Federal-gov, 208534, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K -36, Self-emp-not-inc, 343721, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, ?, >50K -35, Self-emp-inc, 196373, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Private, 433788, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -48, State-gov, 122086, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 137314, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -40, Self-emp-not-inc, 33068, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 210688, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K -26, Local-gov, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 35, United-States, <=50K -37, State-gov, 103474, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 115880, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Self-emp-not-inc, 233933, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -42, Private, 52781, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 586657, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Japan, >50K -62, Private, 113080, 7th-8th, 4, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 251905, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K -76, Self-emp-not-inc, 225964, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -20, ?, 194096, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 263831, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 133136, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 121634, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -22, Self-emp-inc, 40767, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Federal-gov, 355789, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K -43, Local-gov, 311914, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 91189, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -44, Federal-gov, 344060, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 113823, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, State-gov, 185800, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 7430, 0, 40, United-States, >50K -30, Private, 76107, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -23, Private, 117618, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -39, Private, 238008, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 136480, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -50, Private, 285200, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 35, United-States, >50K -19, Private, 351040, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K -35, Private, 1226583, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -23, Private, 195767, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 187540, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 79372, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 226665, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 42, United-States, >50K -52, Private, 213209, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 211005, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 60, United-States, <=50K -24, Private, 96178, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 328216, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -39, Private, 110713, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Self-emp-not-inc, 225456, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -62, Local-gov, 159908, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1258, 38, United-States, <=50K -43, Private, 118308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -45, Private, 180309, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 39630, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 273828, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -56, Private, 172071, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K -28, Private, 218887, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 664670, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 209149, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -26, Private, 84619, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 447346, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -55, Local-gov, 37869, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -48, State-gov, 99086, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Private, 143582, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 2129, 72, ?, <=50K -38, Private, 326886, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -18, Private, 181755, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -56, Self-emp-not-inc, 249368, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -39, Self-emp-not-inc, 326400, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 504725, 5th-6th, 3, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K -36, Private, 88967, 11th, 7, Never-married, Transport-moving, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K -42, Self-emp-not-inc, 170721, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K -50, Private, 148953, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 342752, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -57, Private, 220871, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -73, Private, 29675, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 12, United-States, <=50K -50, Federal-gov, 183611, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 115215, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 152231, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, ?, 41356, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 225142, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 121313, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 134821, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 311350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 102106, 10th, 6, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 427055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, Mexico, <=50K -40, Private, 117860, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 285885, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 212800, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 194864, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 18, United-States, <=50K -36, Private, 31438, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 43, United-States, <=50K -46, Private, 148254, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -69, Private, 113035, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 4, United-States, <=50K -69, Private, 106595, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 1848, 0, 40, United-States, <=50K -28, Private, 144521, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 172232, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 48, United-States, <=50K -54, State-gov, 123592, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 3887, 0, 35, United-States, <=50K -25, Private, 191921, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -64, Local-gov, 237379, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3471, 0, 40, United-States, <=50K -17, Private, 208463, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -53, Federal-gov, 68985, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 22418, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 163047, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, <=50K -51, Private, 153870, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2603, 40, United-States, <=50K -20, ?, 124954, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 197702, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 166415, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 52, United-States, <=50K -50, State-gov, 116211, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K -20, Private, 33644, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -43, State-gov, 33331, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K -46, Private, 73019, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 169182, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Puerto-Rico, <=50K -53, Private, 20438, Some-college, 10, Separated, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 15, United-States, <=50K -21, Private, 109869, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K -58, Private, 316849, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 208043, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -61, Private, 153790, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -56, State-gov, 153451, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -59, Private, 96840, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -72, Private, 192732, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K -33, Private, 209101, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 146919, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Local-gov, 192323, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K -48, Private, 217019, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K -33, Private, 198211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 222490, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 106758, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -31, Private, 561334, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 203710, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 203322, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -51, Private, 123703, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K -46, State-gov, 312015, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 209428, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, El-Salvador, <=50K -61, Private, 230292, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K -17, Private, 114420, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 120238, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -35, Private, 100375, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -33, Self-emp-not-inc, 42485, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -37, Private, 130620, 12th, 8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 33, ?, <=50K -39, Local-gov, 134367, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -42, Private, 147099, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -35, Private, 36214, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 47, United-States, >50K -45, Private, 119904, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -47, Self-emp-inc, 105779, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K -64, Private, 165020, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -39, Private, 187098, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 47, United-States, >50K -43, ?, 142030, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 241360, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K -62, Private, 121319, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K -53, Private, 151580, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -31, Private, 162572, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 35917, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 35723, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Private, 194773, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 62155, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -45, Self-emp-not-inc, 192203, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K -46, Private, 174370, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 161007, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 80, United-States, <=50K -24, Private, 270517, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -43, Private, 163847, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 193882, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 160037, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -34, Federal-gov, 189944, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 72, United-States, <=50K -85, Private, 115364, HS-grad, 9, Widowed, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -41, Private, 163174, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, State-gov, 188900, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 3325, 0, 35, United-States, <=50K -22, Private, 214399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -60, Private, 156616, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 204862, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -34, ?, 55921, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, State-gov, 172475, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 2977, 0, 45, United-States, <=50K -24, Private, 153082, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -45, Local-gov, 195418, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -21, Local-gov, 276840, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -30, Private, 97933, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 1485, 37, United-States, >50K -50, Self-emp-inc, 119099, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K -41, Self-emp-not-inc, 83411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 198992, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -45, Private, 337825, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, Private, 192002, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 189346, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 231962, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 164488, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K -48, Private, 200471, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -69, Private, 228921, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 2282, 40, United-States, >50K -41, Private, 184846, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 233851, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 499001, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -65, Local-gov, 125768, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -31, Private, 255004, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1741, 38, United-States, <=50K -28, Private, 157624, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 146767, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 118291, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -43, Private, 313181, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Male, 0, 0, 38, United-States, <=50K -31, Private, 87891, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 226443, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -45, Private, 81132, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -20, Private, 216436, Bachelors, 13, Never-married, Sales, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K -25, Private, 213412, Bachelors, 13, Never-married, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 179358, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -31, Private, 369825, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 4101, 0, 50, United-States, <=50K -56, Private, 199763, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -26, Private, 239390, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K -47, Self-emp-not-inc, 173613, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -40, Self-emp-inc, 37869, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 302845, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 48, United-States, <=50K -34, State-gov, 85218, Masters, 14, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K -37, Private, 48268, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -38, Private, 173968, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 70982, Assoc-voc, 11, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, United-States, <=50K -49, Private, 166857, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, ?, 256191, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -26, Private, 162872, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -82, Private, 152148, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 2, United-States, <=50K -40, Private, 139193, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 791084, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 137214, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 37, United-States, <=50K -19, Private, 183258, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 154035, HS-grad, 9, Widowed, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 32, United-States, <=50K -43, Private, 115323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K -41, Private, 213055, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 50, United-States, <=50K -37, Private, 155064, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 33551, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 169995, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 168262, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K -40, Private, 104196, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 114055, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 274398, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -78, ?, 27979, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2228, 0, 32, United-States, <=50K -67, ?, 244122, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K -49, Private, 196571, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -66, Private, 101607, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -52, Private, 122109, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 323, 40, United-States, <=50K -59, Self-emp-inc, 255822, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -72, Private, 195184, HS-grad, 9, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 12, Cuba, <=50K -35, Federal-gov, 245372, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 169583, Bachelors, 13, Married-AF-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 224531, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 186151, HS-grad, 9, Separated, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 118693, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -39, Private, 297449, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 125206, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 393264, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 108140, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -63, Private, 264968, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 318106, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 156025, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, State-gov, 149455, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 359985, 5th-6th, 3, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 33, Mexico, <=50K -44, State-gov, 165108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 115178, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -21, Private, 149224, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -41, Local-gov, 352056, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 174717, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -75, ?, 173064, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -29, Private, 147755, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K -52, Self-emp-not-inc, 135716, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -47, Private, 44216, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -28, Private, 37359, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -24, Private, 178255, Some-college, 10, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, ?, <=50K -30, State-gov, 70617, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 10, China, <=50K -30, Private, 154950, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -40, Private, 356934, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -27, Private, 271714, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 247025, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 44, United-States, <=50K -32, Private, 107417, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -36, State-gov, 116554, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 917220, 12th, 8, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 430084, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 202937, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K -27, Private, 62737, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 508548, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Self-emp-inc, 275223, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -35, Self-emp-not-inc, 381931, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -29, Private, 246974, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 105431, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 146311, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 159869, Doctorate, 16, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 204641, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 66297, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K -38, Private, 227615, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -66, ?, 107744, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 360393, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -19, Private, 263340, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -18, Private, 141918, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 22, United-States, <=50K -37, Private, 294292, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 128736, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Local-gov, 511289, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K -27, Private, 302406, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Local-gov, 101517, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -54, State-gov, 161334, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K -24, Self-emp-inc, 189148, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 103111, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -48, Self-emp-not-inc, 51620, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 31606, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 34292, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 38, United-States, <=50K -21, Private, 107882, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 9, United-States, <=50K -18, Private, 39529, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K -18, Private, 135315, 9th, 5, Never-married, Sales, Own-child, Other, Female, 0, 0, 32, United-States, <=50K -29, Private, 107812, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 229729, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 111891, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -32, Private, 340917, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 202952, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K -79, Private, 333230, HS-grad, 9, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K -34, Private, 114955, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 159869, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Self-emp-not-inc, 57758, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -29, Private, 207064, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 193090, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K -64, Private, 151364, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -70, Local-gov, 88638, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 7896, 0, 50, United-States, >50K -28, Local-gov, 304960, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K -51, Private, 102828, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Greece, <=50K -20, ?, 210029, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 154246, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 4865, 0, 55, United-States, <=50K -29, Private, 142519, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 104455, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -77, Self-emp-inc, 192230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 292592, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 330132, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -22, Private, 51111, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Local-gov, 258037, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, >50K -42, Local-gov, 188291, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K -35, State-gov, 349066, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 191188, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 133503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 2635, 0, 16, United-States, <=50K -45, Private, 146497, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -19, Private, 240468, Some-college, 10, Married-spouse-absent, Sales, Own-child, White, Female, 0, 1602, 40, United-States, <=50K -38, Private, 175120, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 416577, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 45, United-States, <=50K -29, Private, 253814, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -33, Private, 159247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Self-emp-not-inc, 102471, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 80, Puerto-Rico, <=50K -42, Private, 213464, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 211968, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -43, Federal-gov, 32016, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -69, Private, 512992, 11th, 7, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 45, United-States, <=50K -39, Private, 135020, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 109133, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K -28, Private, 142712, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Federal-gov, 76900, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 112176, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -43, Federal-gov, 262233, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -49, Private, 122066, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, Hungary, <=50K -28, Private, 194690, 7th-8th, 4, Separated, Other-service, Own-child, White, Male, 0, 0, 60, Mexico, <=50K -35, Private, 306678, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K -19, ?, 217769, Some-college, 10, Never-married, ?, Own-child, White, Female, 594, 0, 10, United-States, <=50K -35, Local-gov, 308945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 46699, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 377757, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 220993, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1590, 48, United-States, <=50K -45, Private, 102147, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 113770, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 139012, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -45, Private, 148900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Federal-gov, 329426, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -64, Self-emp-inc, 181408, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K -44, Local-gov, 101950, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 32537, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 209547, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 202373, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -29, Self-emp-not-inc, 151476, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 174824, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -22, Private, 138768, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 143482, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 200190, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K -38, Private, 168407, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 5721, 0, 44, United-States, <=50K -23, Private, 148315, Some-college, 10, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 270517, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -40, Private, 53506, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 105693, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 189589, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 164574, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -37, Private, 185744, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, United-States, <=50K -40, Local-gov, 33155, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 215955, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K -38, Self-emp-not-inc, 233571, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 211253, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Federal-gov, 191385, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -20, Private, 137895, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -62, State-gov, 159699, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K -31, Private, 295922, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 175856, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 216129, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -62, Local-gov, 407669, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -43, Local-gov, 214242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 285457, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K -30, Self-emp-inc, 124420, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -22, ?, 246386, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 142751, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 283635, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 322931, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, >50K -49, Private, 76482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, State-gov, 431745, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -48, Private, 141944, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K -32, Private, 193042, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -33, Private, 67006, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -23, Private, 240398, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K -33, Federal-gov, 182714, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K -50, Federal-gov, 172046, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 185177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, <=50K -32, Private, 102858, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 42, United-States, <=50K -39, Private, 84954, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 65, United-States, <=50K -21, Private, 115895, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 184589, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 21, United-States, <=50K -32, Private, 282611, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 218649, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, State-gov, 157541, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -70, Private, 145419, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 5, United-States, <=50K -34, Private, 122616, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 84, United-States, >50K -53, Private, 204584, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 117210, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 69481, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 148492, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, >50K -23, Private, 106957, 11th, 7, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 14344, 0, 40, Vietnam, >50K -32, Private, 29312, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K -57, Private, 120302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, ?, 111916, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 182227, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 219110, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K -31, Private, 200192, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -19, Private, 427862, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -23, State-gov, 33551, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K -44, Private, 164043, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, ?, 116632, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K -42, Private, 175133, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 289731, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 256362, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 282612, Assoc-voc, 11, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 73679, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 237824, HS-grad, 9, Married-spouse-absent, Priv-house-serv, Other-relative, Black, Female, 0, 0, 60, Jamaica, <=50K -36, Local-gov, 357720, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 155489, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, Poland, <=50K -44, Private, 138077, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -42, Private, 183479, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 103596, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -33, Private, 172304, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 313853, Bachelors, 13, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 45, United-States, >50K -17, Private, 294485, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 637080, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -32, Private, 385959, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -33, Self-emp-not-inc, 116539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 129263, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -60, Private, 141253, 10th, 6, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -35, State-gov, 35626, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -43, Federal-gov, 94937, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 220269, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Self-emp-not-inc, 169544, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K -36, Private, 214604, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K -27, Private, 81540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 24013, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, >50K -22, Private, 124940, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 44, United-States, <=50K -33, State-gov, 313729, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -61, Private, 192237, 10th, 6, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, ?, 168524, Assoc-voc, 11, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 113324, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K -22, Private, 215477, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 199903, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 431861, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 105938, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 1602, 20, United-States, <=50K -28, Private, 274679, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 177499, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 1590, 35, United-States, <=50K -28, Private, 206125, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 221740, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K -58, Private, 202652, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -39, Private, 348960, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 171876, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 157932, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 201344, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K -38, Private, 354739, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 36, Philippines, >50K -34, Private, 40067, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 326862, Some-college, 10, Divorced, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -48, Local-gov, 189762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -65, ?, 149049, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 226246, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -80, ?, 29020, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 10, United-States, >50K -23, Private, 38251, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 196385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K -38, Self-emp-not-inc, 217054, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 104973, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Local-gov, 238959, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 9562, 0, 40, United-States, >50K -40, State-gov, 34218, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Local-gov, 292962, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 235924, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 98656, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -70, Private, 102610, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -32, Local-gov, 296466, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 323069, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 184756, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 233993, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -22, Private, 130724, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -52, Self-emp-inc, 181855, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 99999, 0, 65, United-States, >50K -67, Self-emp-not-inc, 127543, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2414, 0, 80, United-States, <=50K -40, Private, 187164, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 45, United-States, <=50K -55, Private, 113912, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K -29, Private, 216479, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 135480, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 16, United-States, <=50K -22, Private, 204160, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -64, State-gov, 114650, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 240172, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 184831, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 124590, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -47, State-gov, 120429, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -26, Private, 202033, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 156874, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 27, United-States, <=50K -52, Self-emp-inc, 177727, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 45, United-States, <=50K -48, Local-gov, 334409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -36, Private, 311255, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Haiti, <=50K -23, Private, 214227, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -41, Private, 115849, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, State-gov, 671292, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, >50K -53, Private, 31460, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 141824, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 310152, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -25, Private, 179953, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 2597, 0, 31, United-States, <=50K -31, Private, 137952, Some-college, 10, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K -36, Private, 103323, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K -46, Private, 174426, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, State-gov, 192779, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Male, 0, 2258, 38, United-States, >50K -32, Private, 169955, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, Puerto-Rico, <=50K -43, Self-emp-not-inc, 48087, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 132601, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -41, Self-emp-inc, 253060, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K -50, Private, 108435, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 60, United-States, >50K -37, State-gov, 210452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K -22, Local-gov, 134181, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -51, Federal-gov, 45487, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K -47, Private, 183522, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K -40, Private, 199303, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 83064, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 134997, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 44419, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 442612, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -31, Local-gov, 158092, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -31, Private, 374833, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 112650, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 183390, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -27, Private, 207418, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -22, ?, 335453, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 16, United-States, <=50K -29, Private, 243660, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 54243, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -54, Private, 50385, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, >50K -47, State-gov, 187581, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K -34, Private, 37380, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 247025, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, ?, 29231, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K -23, State-gov, 101094, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 60, United-States, <=50K -42, Local-gov, 176716, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 118429, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -52, Federal-gov, 221532, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K -22, ?, 120572, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 124680, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 153160, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 114678, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 5455, 0, 40, United-States, <=50K -49, State-gov, 142856, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 29702, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -20, Private, 277700, Preschool, 1, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K -55, Self-emp-inc, 67433, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, Private, 121124, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 394447, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 33, United-States, >50K -36, Private, 79649, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 203763, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 80, United-States, <=50K -55, Private, 229029, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 48, United-States, >50K -21, ?, 494638, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K -48, Private, 162816, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 109117, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 32732, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Self-emp-not-inc, 217692, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -20, Private, 34590, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K -18, ?, 276864, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 20, United-States, <=50K -56, Private, 168625, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K -36, Private, 91037, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Private, 171484, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 200453, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K -57, Private, 36990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 52, United-States, <=50K -33, Private, 198211, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, ?, 30475, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 70995, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 99, United-States, >50K -28, Private, 245790, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 273324, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1721, 16, United-States, <=50K -60, Private, 182687, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Local-gov, 247807, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -58, Private, 163113, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, >50K -50, Private, 180522, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -23, Local-gov, 203353, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 12, United-States, <=50K -30, Private, 87469, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 216563, 11th, 7, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 87372, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 72, United-States, >50K -49, Local-gov, 173584, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -47, Local-gov, 80282, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 40, United-States, <=50K -34, Private, 319854, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Taiwan, >50K -37, Federal-gov, 408229, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 431307, 10th, 6, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 50, United-States, <=50K -37, Private, 134088, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 246396, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K -34, Private, 159255, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 106014, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 186934, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -39, Private, 120130, Some-college, 10, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 203849, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 19, United-States, <=50K -24, Private, 207940, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 302406, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -41, Self-emp-not-inc, 144594, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2179, 40, United-States, <=50K -69, ?, 171050, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K -32, Private, 459007, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 90, United-States, <=50K -58, Private, 372181, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K -47, Self-emp-not-inc, 172034, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 75, United-States, >50K -41, Private, 156566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K -35, Self-emp-inc, 338320, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 353696, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, Canada, <=50K -46, Self-emp-not-inc, 342907, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K -69, Self-emp-inc, 169717, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6418, 0, 45, United-States, >50K -22, Private, 103762, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, State-gov, 47570, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 119432, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Local-gov, 144165, Bachelors, 13, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -35, Private, 180647, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -37, Local-gov, 312232, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 5178, 0, 40, United-States, >50K -35, State-gov, 150488, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 200876, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 16, United-States, <=50K -43, Private, 188199, 9th, 5, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, State-gov, 118793, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Local-gov, 204325, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K -29, Private, 256671, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 231515, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 47, Cuba, <=50K -24, Private, 100669, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K -30, Private, 88913, Some-college, 10, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -23, Private, 363219, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K -27, ?, 291547, Bachelors, 13, Married-civ-spouse, ?, Not-in-family, Other, Female, 0, 0, 6, Mexico, <=50K -36, Private, 308945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 100316, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -33, Private, 296453, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 15, United-States, <=50K -66, Private, 298834, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Canada, <=50K -45, Self-emp-not-inc, 188694, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, ?, 29240, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -37, Private, 186934, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -17, Private, 154908, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -31, Private, 22201, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -46, Private, 216999, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -40, Private, 186916, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 116677, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 95763, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 266710, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 41, United-States, <=50K -46, Private, 117849, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -30, Private, 242460, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -33, Self-emp-not-inc, 202729, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 181652, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 174760, Assoc-acdm, 12, Married-spouse-absent, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -34, Private, 56121, 11th, 7, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 390369, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 149726, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 51262, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 190350, 12th, 8, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, ?, <=50K -53, Federal-gov, 205288, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 35, United-States, >50K -36, Private, 154835, HS-grad, 9, Separated, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -45, Private, 89028, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 10520, 0, 40, United-States, >50K -36, Private, 194630, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Self-emp-not-inc, 212207, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 11, United-States, <=50K -27, Private, 204788, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 158688, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 97723, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 193026, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-not-inc, 257250, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 75, United-States, <=50K -48, Private, 355978, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 200574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K -21, Private, 376929, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -47, State-gov, 123219, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -41, Private, 82778, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -61, Self-emp-not-inc, 115882, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -64, Private, 103021, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 297767, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -44, Private, 259479, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 167787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Local-gov, 40021, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 70, United-States, <=50K -52, Private, 245275, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -43, Private, 37402, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 103608, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -63, Private, 137192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -29, Private, 137618, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 41, United-States, >50K -42, Self-emp-inc, 96509, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Taiwan, <=50K -65, Private, 196174, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -24, Private, 172612, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 141186, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 228190, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-inc, 190290, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K -38, Federal-gov, 307404, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 152436, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -46, Self-emp-not-inc, 182541, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K -39, Private, 282153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -29, ?, 41281, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 162003, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 36, United-States, >50K -36, Private, 190759, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 208122, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -57, Private, 173832, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -55, Private, 129173, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 287548, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -41, Private, 216116, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -24, Private, 146706, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -47, Private, 285200, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 314375, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -44, Private, 203943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 35, United-States, >50K -18, ?, 274746, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -27, Private, 517000, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 66173, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -21, Private, 182823, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -29, Private, 159479, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 55, United-States, <=50K -25, Private, 135568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -73, Private, 333676, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 201699, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 96020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -43, Private, 176138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 47496, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -20, Private, 187158, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -22, Private, 249727, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -76, Self-emp-not-inc, 237624, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K -24, Private, 175254, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 42924, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 205950, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 111985, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, <=50K -30, Private, 167476, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 221172, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -27, ?, 188711, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -49, Private, 199448, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 313038, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 148431, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K -19, Private, 112432, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 58, United-States, <=50K -46, Private, 57914, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 145166, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 247119, 7th-8th, 4, Widowed, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K -53, Private, 196278, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 366531, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 216481, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 188027, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -37, Private, 66686, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 74775, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Vietnam, <=50K -65, ?, 325537, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Self-emp-not-inc, 250499, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 55, United-States, >50K -57, Self-emp-not-inc, 192869, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K -44, Self-emp-inc, 121352, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Self-emp-not-inc, 70985, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4064, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 123116, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Local-gov, 339163, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -59, Self-emp-not-inc, 124771, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 167531, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 15024, 0, 50, United-States, >50K -90, ?, 77053, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 4356, 40, United-States, <=50K -22, Private, 199266, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -39, Private, 190728, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 99212, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 48, United-States, >50K -38, Local-gov, 421446, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K -61, Private, 215944, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -24, Private, 72310, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 43, United-States, <=50K -25, Private, 57512, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 89413, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Local-gov, 28151, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -90, Private, 46786, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 15, United-States, >50K -30, Private, 226943, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -44, Private, 182402, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 305352, 10th, 6, Divorced, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-inc, 189253, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -60, Private, 296485, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 204375, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -49, Self-emp-not-inc, 249585, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K -47, Private, 148995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -42, Self-emp-inc, 168071, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K -53, Private, 194995, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Italy, <=50K -23, Private, 211049, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K -28, ?, 196630, Assoc-voc, 11, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -20, Private, 50397, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 35, United-States, <=50K -43, Private, 177905, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3908, 0, 40, United-States, <=50K -32, Private, 204374, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K -43, Private, 60001, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 44, United-States, >50K -31, Private, 223046, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, ?, 44921, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 154571, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -39, Private, 67136, Assoc-voc, 11, Separated, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -29, Private, 188675, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Jamaica, >50K -20, Private, 390817, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, Mexico, <=50K -23, ?, 145964, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 30424, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -53, Private, 548361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 189148, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K -58, Self-emp-not-inc, 266707, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2179, 18, United-States, <=50K -51, Self-emp-not-inc, 311569, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 187653, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -38, Private, 235379, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -41, Private, 188615, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 322691, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 184698, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K -50, Private, 144361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 130057, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Self-emp-inc, 117963, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 123876, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 248445, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -32, Private, 207172, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -46, State-gov, 119904, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1564, 55, United-States, >50K -62, Private, 134768, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Local-gov, 269168, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, ?, <=50K -56, Private, 132026, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 7688, 0, 45, United-States, >50K -37, Private, 60722, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, >50K -41, Private, 648223, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -56, Private, 298695, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -20, Private, 219835, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -34, Self-emp-not-inc, 313729, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -45, Private, 140644, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Private, 203488, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 132341, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 161683, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K -38, Private, 312771, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 258102, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, ?, 24127, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -47, Private, 254367, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -77, ?, 185426, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -43, Private, 152629, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Local-gov, 141058, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K -41, Private, 233130, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 406641, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -30, State-gov, 119422, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 255486, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 25, United-States, <=50K -22, Private, 161532, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -25, Private, 75759, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, >50K -18, Private, 163332, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K -28, Private, 103802, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 1408, 40, ?, <=50K -50, Private, 34832, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K -28, Private, 37933, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K -21, Private, 165107, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 126011, Assoc-voc, 11, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Federal-gov, 56651, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 522881, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K -32, Private, 191777, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 35, England, <=50K -27, Private, 132686, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 201112, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 174283, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 208591, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 126399, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -50, Private, 142073, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -18, Private, 395567, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -74, Private, 180455, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -22, Private, 235853, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 160731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, State-gov, 31935, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 80, United-States, <=50K -41, Private, 35166, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -24, Private, 161092, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -23, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 179673, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K -46, State-gov, 248895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 200323, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -41, Private, 230020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K -29, Private, 134890, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 162096, 9th, 5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 45, China, <=50K -51, Private, 103824, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K -34, State-gov, 61431, 12th, 8, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -58, Private, 197319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -52, Private, 183618, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 268598, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 7298, 0, 50, Puerto-Rico, >50K -53, Private, 263729, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 39493, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -36, Private, 185360, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 132661, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 60, United-States, <=50K -20, Private, 266400, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 48, United-States, <=50K -23, Private, 433669, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 216473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Self-emp-not-inc, 217404, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 227778, Assoc-voc, 11, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -73, State-gov, 96262, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, Private, 247566, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, <=50K -56, Private, 139616, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -32, Private, 73585, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 37869, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -33, Private, 165814, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 108913, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 34975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 157078, 10th, 6, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 232672, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 294295, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 130454, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Local-gov, 461678, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 252284, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 256737, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Local-gov, 96480, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -25, Private, 234263, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 109952, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 262570, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 65716, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -68, Private, 201732, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 174788, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -38, Private, 278924, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 101593, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -71, ?, 193863, 7th-8th, 4, Widowed, ?, Other-relative, White, Female, 0, 0, 16, Poland, <=50K -37, Private, 342768, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 242606, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K -27, State-gov, 176727, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 99179, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, State-gov, 354104, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -25, Private, 61956, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, Federal-gov, 137917, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -40, Private, 224658, Some-college, 10, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 51100, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -25, Private, 224361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 362912, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 218782, 10th, 6, Never-married, Handlers-cleaners, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K -28, Private, 103389, Masters, 14, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 308944, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 140092, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 202210, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 416059, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -33, Self-emp-not-inc, 281030, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 94, United-States, <=50K -19, Private, 169758, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -68, Private, 193666, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 55, United-States, >50K -41, Private, 139907, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -18, Self-emp-inc, 119422, HS-grad, 9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 30, India, <=50K -29, Private, 149324, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K -40, Private, 259307, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -51, Self-emp-not-inc, 74160, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K -49, Private, 134797, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, State-gov, 41103, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -38, Local-gov, 193026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -57, Private, 303986, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K -35, Private, 126569, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K -66, Private, 166461, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, United-States, <=50K -27, ?, 61387, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -25, Private, 254746, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -77, ?, 28678, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 6, United-States, >50K -19, ?, 180976, 10th, 6, Never-married, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -70, Private, 282642, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2174, 40, United-States, >50K -59, Self-emp-not-inc, 136413, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K -25, Private, 131463, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 177240, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -37, Private, 218490, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, El-Salvador, >50K -75, ?, 260543, 10th, 6, Widowed, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 1, China, <=50K -21, ?, 80680, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 20728, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 4101, 0, 40, United-States, <=50K -47, Federal-gov, 117628, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 91939, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 1721, 30, United-States, <=50K -32, State-gov, 175931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 309566, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -53, Private, 123703, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 369678, HS-grad, 9, Never-married, ?, Not-in-family, Other, Male, 0, 0, 30, United-States, <=50K -58, Private, 29928, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 36, United-States, <=50K -22, Private, 167868, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 235894, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -21, Private, 189888, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K -36, Private, 111545, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -39, Private, 175972, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K -34, Local-gov, 254270, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Local-gov, 185057, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -72, Private, 157593, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 1455, 0, 6, United-States, <=50K -34, Private, 101345, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -51, Local-gov, 176751, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -32, Self-emp-not-inc, 97723, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 127601, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -37, Private, 227597, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 143995, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -21, Private, 250051, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K -26, Private, 284078, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 207668, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K -18, Private, 163787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -27, Private, 119170, 11th, 7, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -20, Private, 188612, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, Nicaragua, <=50K -36, Private, 114605, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -31, ?, 317761, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 164197, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -54, Private, 329266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -34, Local-gov, 207383, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 123598, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -33, Private, 259931, 11th, 7, Separated, Machine-op-inspct, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 134737, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -42, Private, 106900, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 87054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 82622, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 181659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 321205, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 4101, 0, 35, United-States, <=50K -44, Self-emp-not-inc, 231348, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 276096, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 290560, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 307315, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 99156, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 237928, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K -46, Private, 153501, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -47, ?, 149700, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 36, United-States, >50K -47, Private, 189680, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K -35, Private, 374524, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K -60, Self-emp-not-inc, 127805, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 150217, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, Poland, <=50K -33, Private, 295649, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, China, <=50K -21, Private, 197182, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 241998, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -48, Federal-gov, 156410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, >50K -58, Private, 473836, 7th-8th, 4, Widowed, Farming-fishing, Other-relative, White, Female, 0, 0, 45, Guatemala, <=50K -21, Private, 198431, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 113936, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 318915, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 175406, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K -33, ?, 193172, Assoc-voc, 11, Married-civ-spouse, ?, Own-child, White, Female, 7688, 0, 50, United-States, >50K -23, Federal-gov, 320294, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, State-gov, 400285, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -24, ?, 283731, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 227154, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -49, Private, 298659, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, Mexico, <=50K -47, Private, 212120, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 320510, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K -21, Private, 175800, HS-grad, 9, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -55, Private, 170169, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 344157, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 199441, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 225456, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 61178, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 175262, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 2002, 40, England, <=50K -42, Private, 152568, HS-grad, 9, Widowed, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -41, Private, 182108, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 27828, 0, 35, United-States, >50K -46, Private, 273771, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K -32, Private, 208291, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 224358, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 55176, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, State-gov, 152711, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 68684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 185452, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -39, Federal-gov, 175232, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1977, 60, United-States, >50K -23, Private, 173851, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 162327, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, ?, >50K -36, Local-gov, 51424, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 123416, 12th, 8, Separated, Prof-specialty, Own-child, White, Female, 1055, 0, 40, United-States, <=50K -26, Private, 262656, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 233194, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -41, Private, 290660, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 55, United-States, >50K -22, Private, 151105, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 18, United-States, <=50K -38, Private, 179117, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 10520, 0, 50, United-States, >50K -72, ?, 33608, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 30, United-States, >50K -39, Private, 317434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, State-gov, 126569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -38, Local-gov, 745768, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -19, Private, 69927, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 16, United-States, <=50K -26, Private, 302603, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K -52, Private, 46788, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 25, United-States, <=50K -41, Private, 289886, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 1579, 40, Nicaragua, <=50K -45, Private, 179135, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Federal-gov, 175873, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 57426, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 312206, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Without-pay, 344858, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, State-gov, 177035, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 88055, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 111095, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 192251, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -27, Private, 29807, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Japan, <=50K -26, Federal-gov, 211596, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 268276, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -59, Self-emp-not-inc, 181070, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, England, >50K -53, Local-gov, 20676, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K -35, Private, 115803, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 124827, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 95336, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -36, Private, 257942, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 72593, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 147340, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 185325, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -59, Self-emp-not-inc, 357943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 215395, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 1602, 10, United-States, <=50K -50, Local-gov, 30682, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Federal-gov, 29591, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K -36, Private, 215392, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 110554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 4386, 0, 40, United-States, >50K -42, Self-emp-not-inc, 133584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -38, Private, 210438, 7th-8th, 4, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 256916, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 73541, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 109952, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -54, Private, 197975, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, United-States, <=50K -27, Private, 401723, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 179524, Bachelors, 13, Separated, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, State-gov, 296282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 145844, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -59, Private, 191965, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 3908, 0, 28, United-States, <=50K -54, Private, 96792, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -48, Private, 185041, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1672, 55, United-States, <=50K -19, ?, 233779, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 347834, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 215373, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -35, Self-emp-not-inc, 169426, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 202856, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -33, Private, 50276, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 187454, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 126098, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 250639, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K -64, Self-emp-inc, 195366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 186845, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 8, United-States, <=50K -20, Federal-gov, 119156, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 162343, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -52, Private, 108435, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, Greece, >50K -29, Self-emp-not-inc, 394927, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 172281, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 370767, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 60, United-States, <=50K -43, Private, 352005, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K -52, Private, 165681, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 258819, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -25, Private, 130793, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -36, Private, 118909, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K -44, Private, 202466, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, <=50K -47, Private, 161558, 10th, 6, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -32, Private, 188246, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 160120, Masters, 14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -40, Private, 144594, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 123429, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -35, Self-emp-inc, 340110, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 523067, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 3, El-Salvador, <=50K -49, Self-emp-not-inc, 113513, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -63, ?, 186809, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K -46, Self-emp-not-inc, 320421, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -31, Local-gov, 295589, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 370548, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 120572, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -52, Private, 110977, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -26, Private, 55860, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 158800, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 131568, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 173613, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -22, Private, 216867, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -38, Private, 104089, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 208106, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Ecuador, <=50K -27, State-gov, 340269, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 236246, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 213408, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K -40, ?, 84232, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -19, Private, 302945, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, Thailand, <=50K -69, ?, 28197, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 262749, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Federal-gov, 198265, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 170871, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 177761, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 50, United-States, <=50K -59, Private, 175689, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 14, Cuba, >50K -45, Private, 205100, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -21, Private, 77759, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -51, State-gov, 77905, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -64, ?, 193575, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -41, State-gov, 116520, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -18, ?, 85154, 12th, 8, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 24, Germany, <=50K -49, Private, 180532, Masters, 14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 508891, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 211345, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 20, United-States, <=50K -69, Self-emp-not-inc, 170877, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -18, ?, 97318, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -43, Private, 184105, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 150941, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 44, United-States, <=50K -32, Private, 303942, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 273929, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 197077, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 162825, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 159869, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -19, Private, 158343, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, ?, <=50K -17, ?, 406920, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 227986, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 137527, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -36, Private, 180150, 12th, 8, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 239539, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -58, Private, 281792, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 224799, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -64, Private, 292639, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 10566, 0, 35, United-States, <=50K -66, Private, 22313, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 194636, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 156089, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 193720, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -25, Private, 218667, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 358837, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 174685, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 168854, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 54, United-States, <=50K -28, Private, 133696, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 65, United-States, <=50K -23, Federal-gov, 350680, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, Poland, <=50K -18, Private, 115215, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -43, Self-emp-not-inc, 152958, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -29, Private, 217200, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 235124, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 46, Dominican-Republic, <=50K -31, Local-gov, 144949, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 135470, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -42, Private, 281209, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 155489, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 290306, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 182042, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K -31, Private, 210008, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 234938, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 55, United-States, <=50K -46, Private, 315423, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2042, 50, United-States, <=50K -27, Self-emp-not-inc, 30244, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 80, United-States, <=50K -50, Local-gov, 30008, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Self-emp-not-inc, 201328, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K -36, State-gov, 96468, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 486332, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -19, Private, 46162, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K -60, Local-gov, 98350, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Philippines, <=50K -45, Local-gov, 175958, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 119309, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 1602, 16, United-States, <=50K -42, Private, 175935, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1980, 46, United-States, <=50K -38, Private, 204527, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, ?, 57827, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 418176, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K -23, Private, 262744, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 177287, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K -30, Private, 255004, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -62, Private, 183735, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 318644, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -42, Federal-gov, 132125, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K -33, Private, 206051, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-inc, 99185, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K -35, Private, 225750, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -33, Private, 245777, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 169092, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -62, Private, 211035, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K -24, Private, 285432, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 154779, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -54, Private, 37237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 417419, 7th-8th, 4, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 33975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 42485, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 170017, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 152683, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 35, United-States, <=50K -20, Private, 41721, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K -64, Private, 66634, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-inc, 257216, Masters, 14, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 167882, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -45, Private, 179428, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 57512, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 301614, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 193820, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K -58, Private, 222247, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K -39, Self-emp-inc, 189092, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 217509, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, Thailand, <=50K -35, Private, 308691, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -38, Private, 169672, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 120914, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 370156, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -28, Private, 398220, 5th-6th, 3, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -44, Self-emp-not-inc, 208277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 45, United-States, <=50K -40, Private, 337456, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 172666, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Self-emp-not-inc, 32280, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 194901, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -19, ?, 57329, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, Japan, <=50K -32, Private, 173730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -45, Local-gov, 153312, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 10, United-States, >50K -23, Private, 274797, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -31, Private, 359249, Assoc-voc, 11, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 152744, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -59, Private, 188041, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 97723, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -49, State-gov, 354529, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 249727, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -26, Private, 189590, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -23, State-gov, 298871, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -55, Self-emp-not-inc, 205296, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -47, Private, 303637, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 49, United-States, >50K -44, Private, 242861, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 37599, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -40, State-gov, 199381, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 37, United-States, >50K -32, Self-emp-not-inc, 56328, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, >50K -20, Private, 256211, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -84, Local-gov, 163685, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -40, Private, 266084, Some-college, 10, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 161111, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 199031, Some-college, 10, Divorced, Transport-moving, Own-child, White, Male, 0, 1380, 40, United-States, <=50K -47, Private, 166634, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -62, Self-emp-not-inc, 204085, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K -19, ?, 369527, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 464945, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -44, Local-gov, 174684, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -26, Local-gov, 166295, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 41, United-States, <=50K -36, Private, 220511, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 246936, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 104509, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, ?, 266337, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 252168, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 92093, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -62, Private, 88055, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 129591, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 142719, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -18, ?, 264924, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 128796, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K -38, Private, 115336, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 70, United-States, <=50K -52, Private, 190333, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Self-emp-not-inc, 179444, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 15, United-States, <=50K -49, Private, 218676, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K -17, Local-gov, 148194, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -33, Private, 184833, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -70, Self-emp-not-inc, 280639, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 2329, 0, 20, United-States, <=50K -19, Private, 217769, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -27, ?, 180553, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K -61, Private, 56009, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 255334, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K -46, Self-emp-inc, 328216, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 42, ?, >50K -29, Private, 349154, 10th, 6, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 40, Guatemala, <=50K -40, Local-gov, 24763, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 6849, 0, 40, United-States, <=50K -43, State-gov, 41834, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, >50K -24, Private, 113466, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 130856, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -61, Self-emp-not-inc, 268797, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 17, United-States, <=50K -48, Private, 202117, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -19, Private, 280146, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -30, Private, 70377, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 236696, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -39, Local-gov, 222572, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -46, Self-emp-inc, 110702, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 2036, 0, 60, United-States, <=50K -40, Private, 96129, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K -27, Local-gov, 200492, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 193820, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 454508, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K -58, Private, 220789, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 101345, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, Canada, >50K -40, Private, 140559, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -40, Self-emp-inc, 64885, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -31, Private, 402361, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 143582, HS-grad, 9, Separated, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 48, China, <=50K -49, Private, 185385, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 112706, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 130364, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 147428, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 205895, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -65, ?, 273569, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 153160, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 167918, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K -41, Private, 195661, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 54, United-States, <=50K -27, State-gov, 146243, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -52, ?, 105428, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K -26, Private, 149943, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 60, ?, <=50K -52, Local-gov, 246197, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 192563, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -19, Private, 244115, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -39, Local-gov, 98587, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K -47, Private, 145886, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 244315, HS-grad, 9, Divorced, Craft-repair, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K -48, Private, 192779, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 209464, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -60, Private, 25141, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 405793, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -47, Federal-gov, 53498, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -69, ?, 476653, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -40, Self-emp-not-inc, 162312, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 66, South, <=50K -37, Private, 277022, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 3887, 0, 40, Nicaragua, <=50K -41, State-gov, 109762, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 123031, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 48, Trinadad&Tobago, <=50K -46, Federal-gov, 119890, Assoc-voc, 11, Separated, Tech-support, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K -21, Self-emp-not-inc, 409230, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 223308, Masters, 14, Separated, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -38, ?, 129150, 10th, 6, Separated, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -47, Self-emp-not-inc, 119199, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -42, Private, 46221, Doctorate, 16, Married-spouse-absent, Other-service, Not-in-family, White, Male, 27828, 0, 60, ?, >50K -42, Local-gov, 351161, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 174533, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -32, Private, 324386, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 126568, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 33, United-States, <=50K -26, Private, 275703, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 219611, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 2174, 0, 50, United-States, <=50K -49, Private, 200471, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -65, Private, 155261, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -73, State-gov, 74040, 7th-8th, 4, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -34, Private, 226296, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 211968, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 126446, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -25, Private, 262885, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -39, Private, 188069, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K -19, Private, 113546, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -24, Private, 227070, 10th, 6, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 136997, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -35, ?, 119006, HS-grad, 9, Widowed, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K -21, Private, 212407, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 197810, Masters, 14, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Federal-gov, 35309, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 28, ?, <=50K -39, Private, 141802, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, ?, 184513, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 80, United-States, >50K -33, Self-emp-not-inc, 124187, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K -19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 26, United-States, <=50K -17, Private, 156736, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -43, Self-emp-not-inc, 47261, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 150693, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -53, Local-gov, 233734, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K -45, State-gov, 35969, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -47, Private, 159550, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 190823, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 213378, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -24, Private, 257500, HS-grad, 9, Separated, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -41, Local-gov, 488706, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 239405, 5th-6th, 3, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K -27, Federal-gov, 105189, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 4865, 0, 50, United-States, <=50K -63, State-gov, 109735, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -50, Private, 172942, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 28, United-States, <=50K -43, Local-gov, 209899, Masters, 14, Never-married, Tech-support, Not-in-family, Black, Female, 8614, 0, 47, United-States, >50K -29, Self-emp-inc, 87745, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -41, Private, 187881, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3942, 0, 40, United-States, <=50K -55, Private, 234125, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 272944, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -23, Local-gov, 129232, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 100345, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 13550, 0, 55, United-States, >50K -58, Self-emp-not-inc, 195835, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 251854, 11th, 7, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 103474, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K -38, Private, 22042, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -37, Private, 343721, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 232368, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -55, Private, 174478, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 29, United-States, <=50K -55, Private, 282023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -28, Private, 274690, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 251675, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -32, ?, 647882, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, <=50K -60, Private, 128367, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 3325, 0, 42, United-States, <=50K -32, Private, 37380, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -34, Private, 173730, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 353824, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -21, Private, 225890, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -24, State-gov, 147147, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -53, Private, 233780, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 2202, 0, 40, United-States, <=50K -29, Private, 394927, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -34, Local-gov, 188682, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, ?, 115209, Prof-school, 15, Married-spouse-absent, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -41, Private, 277192, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, Mexico, <=50K -21, Private, 314182, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 220776, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -31, Local-gov, 189269, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 35429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2042, 40, United-States, <=50K -42, Private, 154374, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K -62, Private, 161460, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -51, Private, 251487, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -30, Private, 177531, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -24, Private, 53942, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 113481, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 361324, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 330087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -33, Private, 276221, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 121055, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -62, Private, 118696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Self-emp-not-inc, 289741, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K -18, Private, 238401, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -43, Private, 262038, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K -62, Self-emp-not-inc, 26911, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 66, United-States, <=50K -29, Private, 161155, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 252519, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, Haiti, >50K -39, Private, 43712, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -69, ?, 167826, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 188900, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 120057, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 45, United-States, >50K -25, Private, 134113, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -47, Local-gov, 165822, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 99161, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K -41, Local-gov, 74581, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 65, United-States, <=50K -19, Private, 304643, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -57, Private, 121821, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K -25, Private, 154863, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K -37, Local-gov, 365430, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Canada, >50K -29, Private, 183111, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 50178, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 186845, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -52, Private, 159908, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 162189, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 1831, 0, 40, Peru, <=50K -29, Private, 128509, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, El-Salvador, <=50K -23, Private, 143032, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K -31, Private, 382368, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 210013, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 293928, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 208503, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 10, United-States, <=50K -37, State-gov, 191841, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K -49, Self-emp-not-inc, 355978, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K -64, Local-gov, 202738, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -37, Local-gov, 144322, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -70, Self-emp-not-inc, 155141, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 12, United-States, >50K -22, Private, 160120, 10th, 6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K -29, Self-emp-inc, 190450, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Germany, <=50K -37, Private, 212900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 115677, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 252250, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -27, Private, 212041, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -58, State-gov, 198145, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K -60, Local-gov, 113658, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 32426, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -51, Private, 98791, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 203828, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -22, State-gov, 186634, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -56, Self-emp-not-inc, 125147, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 247455, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 5178, 0, 42, United-States, >50K -19, Private, 97215, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -37, Private, 330826, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, <=50K -27, Private, 200802, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 156266, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K -52, Self-emp-not-inc, 72257, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 363087, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 25955, Some-college, 10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -20, Private, 334633, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 109162, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -44, Private, 569761, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 209900, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 272986, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 8, United-States, <=50K -55, ?, 52267, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K -46, Private, 82946, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 104651, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Local-gov, 58441, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Local-gov, 269733, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 128453, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 28, United-States, <=50K -36, Private, 179468, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 183081, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 102938, Bachelors, 13, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -30, ?, 157289, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 359828, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -30, Private, 155659, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -24, Private, 585203, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 45, United-States, >50K -62, Private, 173601, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 214541, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -49, Self-emp-not-inc, 163352, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 85, United-States, >50K -36, Self-emp-not-inc, 153976, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Local-gov, 247676, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 45, United-States, <=50K -49, State-gov, 155372, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 329733, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 162576, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 176520, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K -51, State-gov, 226885, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 120781, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -30, Private, 375827, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 205504, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 198813, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 254291, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -62, Private, 159908, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, >50K -49, Private, 40000, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 44, United-States, <=50K -69, Private, 102874, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -35, Private, 117381, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K -78, Private, 180239, Masters, 14, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -61, Private, 539563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 261561, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 81057, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 160120, Bachelors, 13, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 45, ?, <=50K -17, Private, 41979, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 275110, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 80, United-States, >50K -64, Private, 265661, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 193246, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, France, <=50K -32, Private, 236543, 12th, 8, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -19, Private, 29510, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -42, State-gov, 105804, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 194604, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -23, Private, 1038553, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -51, Local-gov, 209320, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -31, Private, 193231, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 3325, 0, 60, United-States, <=50K -44, Private, 307468, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 29, United-States, >50K -38, Private, 255941, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K -44, Local-gov, 107845, Assoc-acdm, 12, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 56, United-States, >50K -44, Self-emp-not-inc, 567788, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -38, Private, 91857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -36, Private, 732569, 9th, 5, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 86613, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, El-Salvador, <=50K -46, Private, 35961, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K -47, Private, 114754, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 235124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 99999, 0, 40, United-States, >50K -37, Local-gov, 218490, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 35, United-States, >50K -27, Private, 329426, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -43, Private, 181015, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -44, Self-emp-not-inc, 264740, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 381153, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 189759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -39, Private, 230467, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 1092, 40, Germany, <=50K -36, Private, 218542, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 298507, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K -78, Private, 111189, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, Dominican-Republic, <=50K -24, Private, 168997, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 168894, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 149809, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 344073, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -22, Private, 416165, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -36, Private, 41490, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 40269, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -67, ?, 243256, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -42, Private, 250536, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 21, Haiti, <=50K -49, Federal-gov, 105586, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -58, Private, 51499, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 189878, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K -39, Private, 179481, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 4650, 0, 44, United-States, <=50K -25, Private, 299765, Some-college, 10, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K -45, Self-emp-inc, 155664, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K -30, Private, 54608, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, ?, 174702, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -36, Self-emp-not-inc, 285020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K -23, Private, 201145, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -51, Private, 125796, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 35, Jamaica, <=50K -55, Private, 249072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -35, Private, 99156, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -45, State-gov, 94754, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, India, <=50K -36, Private, 111128, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -32, Local-gov, 157887, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 74194, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -47, Self-emp-inc, 168191, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 28334, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -52, Private, 84278, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, ?, >50K -44, Private, 721161, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 188069, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 145178, Some-college, 10, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -17, Private, 52967, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K -18, Private, 177578, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K -30, Self-emp-inc, 185384, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K -66, Private, 66008, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, England, <=50K -59, Private, 329059, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Local-gov, 348802, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 34233, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 509629, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -28, Private, 27956, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 99, Philippines, <=50K -44, Local-gov, 83286, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -25, Private, 309098, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 188950, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 224217, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 222899, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 123306, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -52, Federal-gov, 279337, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 347166, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -37, Local-gov, 251396, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Canada, >50K -17, Self-emp-inc, 143034, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 4, United-States, <=50K -25, Private, 57635, Assoc-voc, 11, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K -35, Local-gov, 162651, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -63, Private, 28334, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -38, Local-gov, 84570, Some-college, 10, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -33, Private, 181091, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, Iran, >50K -51, Local-gov, 117496, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -64, State-gov, 216160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Columbia, >50K -50, Self-emp-inc, 204447, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 374969, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -67, Private, 35015, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -46, Private, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 137733, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 193125, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 103649, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -56, State-gov, 54260, Doctorate, 16, Married-civ-spouse, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 2885, 0, 40, China, <=50K -29, Private, 197932, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, Mexico, >50K -37, Private, 249720, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 27, United-States, <=50K -55, Private, 223613, 1st-4th, 2, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, Cuba, <=50K -24, Private, 259865, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -21, Private, 301694, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K -46, Self-emp-inc, 276934, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -25, Private, 395512, 12th, 8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K -40, Private, 168071, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K -23, Private, 45317, Some-college, 10, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 311177, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -29, Self-emp-not-inc, 190636, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 1485, 60, United-States, >50K -59, Private, 221336, 10th, 6, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -18, Private, 120691, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, ?, <=50K -28, Private, 107389, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 32, United-States, <=50K -17, Private, 293440, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -53, Private, 145409, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 213902, 5th-6th, 3, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K -63, Private, 100099, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 191856, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K -40, Local-gov, 233891, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -61, Self-emp-not-inc, 96073, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, England, >50K -35, Private, 474136, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -43, Self-emp-not-inc, 355856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Philippines, <=50K -20, ?, 144685, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 1602, 40, Taiwan, <=50K -48, Self-emp-not-inc, 139212, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, State-gov, 143931, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Federal-gov, 160703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 191291, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 68729, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, United-States, >50K -61, Private, 119986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -37, Private, 227545, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K -36, Private, 32776, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -34, Private, 228881, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K -23, Private, 84648, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -63, Federal-gov, 101996, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -63, ?, 68954, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 11, United-States, <=50K -47, Local-gov, 285060, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 41, United-States, >50K -55, Self-emp-inc, 209569, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K -31, Local-gov, 331126, Bachelors, 13, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 48, United-States, <=50K -27, Private, 279872, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 150560, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K -28, Local-gov, 185647, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K -52, Private, 128871, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K -31, Federal-gov, 386331, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, <=50K -53, Private, 117814, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -43, Private, 220609, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Local-gov, 117022, HS-grad, 9, Married-spouse-absent, Farming-fishing, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 176751, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 80, United-States, >50K -68, ?, 76371, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 80410, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 127202, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 121471, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 219086, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -59, Private, 271571, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K -30, Private, 241583, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 374253, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -30, Private, 214993, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 199995, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -38, Private, 450924, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 3942, 0, 40, United-States, <=50K -29, Private, 120359, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -76, Private, 93125, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 1424, 0, 24, United-States, <=50K -21, Private, 187513, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 243569, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -43, Private, 295510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 29732, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K -32, Private, 211743, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 251396, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -64, Private, 477697, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K -49, Private, 151584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 193882, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -68, ?, 117542, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 1409, 0, 15, United-States, <=50K -34, Private, 242460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -35, Private, 411395, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, <=50K -53, Private, 191025, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -24, Private, 154571, Assoc-voc, 11, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 50, South, <=50K -31, Private, 208657, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 29599, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K -36, Private, 423711, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 122000, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 148581, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Self-emp-not-inc, 222978, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -30, Private, 149118, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 218407, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, Cuba, <=50K -47, Self-emp-not-inc, 112200, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 10520, 0, 45, United-States, >50K -44, Private, 85604, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -19, Private, 111232, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 99199, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -51, Private, 199995, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -69, Private, 122850, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 16, United-States, <=50K -73, ?, 90557, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -18, ?, 271935, 11th, 7, Never-married, ?, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -33, Self-emp-not-inc, 361497, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Local-gov, 399020, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -33, Private, 345277, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -20, Federal-gov, 55233, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 200515, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 188119, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 176683, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -22, Private, 309178, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 40021, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -31, Self-emp-inc, 49923, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, ?, 36635, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -43, Federal-gov, 325706, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K -33, Private, 124407, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 301568, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K -27, Private, 339956, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 60, United-States, <=50K -36, Private, 176335, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 198452, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -63, Private, 213945, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, Iran, >50K -48, Private, 171807, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 56, United-States, >50K -25, Private, 362826, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -41, Self-emp-not-inc, 344329, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 10, United-States, <=50K -26, Private, 137678, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 175424, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -33, State-gov, 73296, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 1831, 0, 40, United-States, <=50K -30, State-gov, 137613, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 17, Taiwan, <=50K -67, Self-emp-not-inc, 354405, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 130057, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -48, Self-emp-not-inc, 362883, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -51, Private, 49017, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -39, Private, 149943, Masters, 14, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -40, Self-emp-inc, 99185, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 294708, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, Private, 228238, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -28, Private, 156819, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -47, Private, 332727, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 289944, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 116103, HS-grad, 9, Widowed, Exec-managerial, Other-relative, White, Male, 914, 0, 40, United-States, <=50K -29, Private, 24153, Some-college, 10, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -40, Private, 273425, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -61, Private, 231183, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 313930, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -26, Private, 114483, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 162108, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 168807, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -43, Local-gov, 143828, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 9562, 0, 40, United-States, >50K -73, Private, 242769, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3471, 0, 40, England, <=50K -46, Local-gov, 111558, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 69770, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 291981, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 102460, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 151584, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 1876, 40, United-States, <=50K -47, Local-gov, 287320, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 115677, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 239632, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 409172, Bachelors, 13, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 55, United-States, <=50K -20, Private, 186849, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 118861, 10th, 6, Married-civ-spouse, Craft-repair, Wife, Other, Female, 0, 0, 48, Guatemala, <=50K -26, Private, 142689, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, ?, <=50K -41, State-gov, 170924, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 274451, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 153489, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 186489, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K -18, Private, 192409, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -55, State-gov, 337599, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 195545, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -64, Private, 61892, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -34, Self-emp-not-inc, 175697, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 75, United-States, <=50K -38, Private, 80303, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -25, Private, 419658, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 8, United-States, <=50K -21, Private, 319163, Some-college, 10, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 126743, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 53, Mexico, <=50K -39, Private, 301568, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 120461, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 268145, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -54, Private, 257337, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Self-emp-inc, 213354, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -25, Private, 303431, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 124963, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 158218, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -27, State-gov, 553473, Bachelors, 13, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 48, United-States, <=50K -53, Private, 46155, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -68, Private, 138714, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -56, Private, 231781, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 496414, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -24, Private, 19410, HS-grad, 9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 48, United-States, <=50K -70, ?, 28471, 9th, 5, Widowed, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -24, Private, 185821, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -74, ?, 272667, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -23, ?, 194031, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -41, Local-gov, 144995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -45, Private, 162494, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 19, United-States, <=50K -35, Private, 171968, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 232569, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 161819, 11th, 7, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -18, Private, 123343, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 105449, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -49, Private, 181717, Assoc-voc, 11, Separated, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K -45, Local-gov, 102359, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, <=50K -27, Private, 72887, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -28, Private, 154571, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -35, Private, 255191, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 174789, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 110402, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -19, Private, 208513, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 121904, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -28, Private, 34335, HS-grad, 9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 14084, 0, 40, United-States, >50K -49, Private, 59380, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, ?, 135285, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2603, 32, United-States, <=50K -39, Self-emp-inc, 126675, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K -22, Private, 217363, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 91836, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 184813, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 178142, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 102359, 9th, 5, Widowed, Handlers-cleaners, Unmarried, White, Male, 0, 2231, 40, United-States, >50K -33, Self-emp-inc, 281832, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K -28, Private, 96226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 195124, 7th-8th, 4, Married-spouse-absent, Prof-specialty, Other-relative, White, Male, 0, 0, 35, Puerto-Rico, <=50K -20, Private, 56322, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 2176, 0, 25, United-States, <=50K -50, Local-gov, 97449, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K -32, Private, 339773, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Federal-gov, 210926, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 199499, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 190729, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 191385, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 77, United-States, <=50K -61, Private, 193479, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -43, Self-emp-not-inc, 225165, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 346766, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, State-gov, 152307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 79990, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -42, Self-emp-not-inc, 170649, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 197207, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 229732, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -52, Private, 204402, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 85, United-States, >50K -36, Private, 181065, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 179579, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K -50, Private, 237729, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 2444, 72, United-States, >50K -23, ?, 164574, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -71, Private, 179574, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 12, United-States, >50K -27, Private, 191782, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K -56, Private, 146660, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Self-emp-not-inc, 115945, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 210875, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 137898, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -28, Local-gov, 216965, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 201554, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -62, Private, 57970, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 208378, 12th, 8, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 61343, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 283872, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -58, Private, 225603, 9th, 5, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 401333, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 278228, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 145377, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 120238, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 187215, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 36, United-States, >50K -29, Self-emp-not-inc, 144063, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K -38, Private, 238721, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 164920, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 152493, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -50, Private, 92968, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -50, Private, 136836, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Federal-gov, 216453, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -30, Private, 349148, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -29, State-gov, 309620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K -22, State-gov, 347803, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 20, United-States, <=50K -42, Private, 85995, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, ?, 167428, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 164569, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -42, Self-emp-not-inc, 308279, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 21, United-States, <=50K -20, Private, 56322, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -51, ?, 203015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 211654, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Self-emp-inc, 120126, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 239043, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, ?, 179761, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 312017, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Germany, <=50K -51, Private, 257485, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 49243, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 229716, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -31, Private, 341672, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K -24, Private, 32311, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 275236, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 400356, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 184596, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 3942, 0, 50, United-States, <=50K -18, Private, 186909, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 1055, 0, 30, United-States, <=50K -43, Private, 152420, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, United-States, <=50K -43, State-gov, 261929, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, White, Male, 25236, 0, 64, United-States, >50K -21, Private, 235442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 161691, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 173945, 11th, 7, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 39, United-States, <=50K -41, Private, 355918, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K -45, State-gov, 198660, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 122649, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 421967, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K -50, Local-gov, 259377, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K -47, Private, 74305, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -80, Self-emp-not-inc, 34340, 7th-8th, 4, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -47, Self-emp-not-inc, 182752, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, Iran, <=50K -19, ?, 48393, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 84, United-States, <=50K -45, Private, 34248, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 186677, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -37, Private, 167851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 146460, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 209650, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -18, Self-emp-not-inc, 132986, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 94429, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 252406, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 174592, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 151322, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Private, 37237, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, >50K -38, Private, 101192, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -77, ?, 152900, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -51, Private, 94081, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -24, Private, 329408, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 106028, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -35, ?, 164866, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -51, Self-emp-inc, 167793, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -28, Private, 138692, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 173968, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 228320, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 96585, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -42, Private, 156580, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K -58, Private, 210673, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -52, Local-gov, 137753, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 20, United-States, <=50K -29, Private, 29865, HS-grad, 9, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, <=50K -27, Private, 196044, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 308995, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, Jamaica, <=50K -59, Private, 159008, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 20, United-States, >50K -28, Private, 362491, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 94395, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 320047, 10th, 6, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 98535, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Private, 183170, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -18, ?, 331511, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 195686, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 178244, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 127833, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 269722, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, State-gov, 136819, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 205604, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, Mexico, <=50K -28, Private, 132078, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 234880, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -24, Private, 196816, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3908, 0, 40, United-States, <=50K -36, Private, 237943, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -68, Self-emp-inc, 140852, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 105614, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -18, Private, 83492, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 225772, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -37, Private, 242713, 12th, 8, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -60, Private, 355865, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Private, 173316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 35662, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, >50K -17, Private, 297246, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 9, United-States, <=50K -43, Private, 108945, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -39, Private, 112158, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 26, ?, <=50K -21, Self-emp-not-inc, 57298, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -42, Self-emp-not-inc, 115323, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 7, ?, <=50K -48, Self-emp-not-inc, 164582, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 60, United-States, >50K -56, Private, 295067, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K -21, Private, 177265, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -28, Local-gov, 336543, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K -39, Self-emp-not-inc, 52870, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 316820, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K -38, Local-gov, 200153, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 453067, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K -51, Federal-gov, 27166, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 299598, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -23, Private, 122048, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 345277, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 113147, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 34007, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 255014, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -34, Private, 152667, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 231053, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 103651, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-inc, 124137, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 198183, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 183627, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 48, Ireland, <=50K -19, Private, 466458, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -45, Self-emp-not-inc, 114396, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -42, Private, 186376, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 72, Philippines, >50K -32, Private, 290964, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K -90, Self-emp-not-inc, 282095, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, State-gov, 244974, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K -34, Self-emp-not-inc, 114691, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 107160, 12th, 8, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -39, Self-emp-not-inc, 142573, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -29, Private, 203833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 47791, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -49, Private, 133729, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 17, United-States, <=50K -52, Self-emp-not-inc, 135339, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K -54, Private, 135803, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 60, South, >50K -31, Private, 128591, 9th, 5, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 133853, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -18, ?, 137363, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -27, Self-emp-not-inc, 243569, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 119156, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 391114, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 252506, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 117503, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, Italy, <=50K -25, State-gov, 117833, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 19, United-States, <=50K -39, Private, 294183, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 394927, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 259323, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -21, ?, 207988, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 96635, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 26, South, <=50K -27, Private, 192283, Assoc-voc, 11, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 38, United-States, <=50K -29, Private, 214881, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 167474, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 110713, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 201204, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 197666, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 162002, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -31, Private, 263561, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 45, United-States, >50K -41, Private, 224799, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 89942, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 238685, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -54, Private, 38795, 9th, 5, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 90414, Bachelors, 13, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 55, Ireland, <=50K -21, Private, 190805, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K -52, Private, 23780, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -19, Private, 285263, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 177331, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 347530, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -59, Private, 230039, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 625, 38, United-States, <=50K -17, ?, 210547, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 204752, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 32, United-States, <=50K -74, Self-emp-not-inc, 104001, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 253116, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 169037, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Self-emp-inc, 202027, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 170099, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 212847, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 85, United-States, <=50K -50, State-gov, 307392, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 233428, HS-grad, 9, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 355728, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 1980, 45, England, <=50K -52, Private, 177995, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, Mexico, >50K -24, Private, 283613, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -56, Self-emp-inc, 184598, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K -27, Private, 185647, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Self-emp-inc, 192894, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K -40, Self-emp-not-inc, 284706, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 1977, 60, United-States, >50K -38, Private, 179579, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 131679, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 132973, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -22, Private, 154713, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 121718, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K -30, Private, 255279, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -55, Private, 202559, Bachelors, 13, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, Philippines, <=50K -25, Private, 123095, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 1590, 40, United-States, <=50K -32, Private, 153326, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 75695, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -33, Self-emp-inc, 206609, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 234780, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 178778, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 171355, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K -63, Federal-gov, 95680, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K -39, Private, 196673, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 5013, 0, 40, United-States, <=50K -51, Federal-gov, 73670, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 52, United-States, >50K -67, Self-emp-not-inc, 139960, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 397280, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, ?, <=50K -27, Private, 60374, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Female, 0, 1594, 26, United-States, <=50K -54, Private, 421561, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -59, Private, 245196, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -18, Private, 27620, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -19, Private, 187570, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 102884, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 228399, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 7, United-States, <=50K -42, Private, 340234, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, United-States, >50K -37, Private, 176293, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -51, Local-gov, 108435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 161187, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 2463, 0, 40, United-States, <=50K -23, Private, 278391, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 157941, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 182866, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -69, Private, 370888, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 2964, 0, 6, Germany, <=50K -30, Private, 206512, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -33, Private, 357954, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, India, <=50K -28, Private, 189346, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 48, United-States, <=50K -45, Private, 234652, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -25, Private, 113436, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K -37, Private, 204145, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -59, Private, 157305, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K -26, Private, 104045, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -48, Private, 280422, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, Peru, <=50K -64, Federal-gov, 173754, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 211154, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 321435, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, State-gov, 177083, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -46, Private, 178829, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -35, Federal-gov, 287658, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K -43, Private, 209894, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Private, 334744, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 306967, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -35, Private, 52187, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 101978, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -35, State-gov, 483530, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 77357, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 149770, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 328606, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 14084, 0, 63, United-States, >50K -70, ?, 172652, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -46, Private, 188293, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 116608, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -37, State-gov, 348960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K -24, Private, 329530, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Mexico, <=50K -47, Local-gov, 93476, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -35, Self-emp-not-inc, 195744, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 125833, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -18, State-gov, 191117, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -54, Private, 311020, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 210464, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 38, United-States, <=50K -36, Private, 135289, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -27, Private, 156266, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -23, Private, 154210, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 14, Puerto-Rico, <=50K -61, ?, 160625, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 4386, 0, 15, United-States, >50K -39, Self-emp-not-inc, 331481, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 1669, 60, ?, <=50K -33, Self-emp-not-inc, 249249, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 261725, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -22, Private, 239612, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -31, Self-emp-not-inc, 226696, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 190330, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 193755, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -73, Private, 192740, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 201924, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 77146, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 126414, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, ?, <=50K -27, Private, 43652, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 227244, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 50, United-States, >50K -29, Private, 160731, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 287878, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 26, United-States, <=50K -50, Private, 166758, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -32, Private, 183811, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 2829, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 254818, Masters, 14, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Peru, <=50K -19, ?, 220517, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 295046, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -65, Private, 190568, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 810, 36, United-States, <=50K -42, State-gov, 211915, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 295621, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 25, United-States, >50K -32, Private, 204567, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K -42, Private, 204235, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 186982, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -38, Private, 133586, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 165930, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 164898, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K -24, Private, 278155, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -27, Self-emp-not-inc, 115705, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 150553, 9th, 5, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -29, Private, 185127, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 201595, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K -44, Self-emp-inc, 165815, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 96, United-States, <=50K -26, Private, 102420, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -46, Local-gov, 344172, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 49, United-States, >50K -38, Private, 222450, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 212245, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, State-gov, 190625, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -33, Private, 203488, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 304260, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 243665, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 41, United-States, >50K -26, Self-emp-not-inc, 189238, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 4, Mexico, <=50K -42, Private, 77373, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K -27, Private, 410351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 36385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -64, Private, 110150, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 198316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 127772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 199058, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -56, Private, 285730, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, United-States, <=50K -25, Local-gov, 334133, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -60, State-gov, 97030, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -52, Private, 67090, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -43, Private, 397963, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 594, 0, 16, United-States, <=50K -46, Private, 182533, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -19, Private, 560804, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -56, Private, 365050, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -22, Private, 110200, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 150025, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -39, Private, 299828, 5th-6th, 3, Separated, Sales, Unmarried, Black, Female, 0, 0, 30, Puerto-Rico, <=50K -28, Private, 109282, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 103435, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 34747, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -39, Private, 137522, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K -39, Private, 286789, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Self-emp-not-inc, 211032, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -67, ?, 192916, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3818, 0, 11, United-States, <=50K -31, Private, 219318, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K -50, Private, 112873, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 36069, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3908, 0, 46, United-States, <=50K -48, Private, 73434, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Germany, >50K -51, Private, 200576, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 172962, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 44006, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 234474, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -37, Private, 212826, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 234901, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Federal-gov, 200700, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 41258, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 249644, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -60, ?, 230165, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 351731, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 114765, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 349884, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -28, Self-emp-inc, 204247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 143392, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 37913, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Italy, >50K -22, Self-emp-inc, 150683, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 24, United-States, <=50K -27, Private, 207611, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -45, State-gov, 319666, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -39, Private, 155961, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -25, Local-gov, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -63, ?, 447079, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -24, Self-emp-inc, 142404, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 155752, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -19, ?, 252292, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 111450, 12th, 8, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 38, United-States, <=50K -20, Private, 528616, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -17, Self-emp-not-inc, 228786, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -63, Self-emp-inc, 80572, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Local-gov, 180271, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 65, United-States, >50K -51, Federal-gov, 237819, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 157612, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 3325, 0, 45, United-States, <=50K -64, Private, 379062, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -17, Private, 191910, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -45, Local-gov, 326064, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 6497, 0, 35, United-States, <=50K -18, Private, 312353, 12th, 8, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -31, Local-gov, 213307, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 209057, Bachelors, 13, Married-spouse-absent, Sales, Own-child, White, Male, 0, 0, 50, United-States, >50K -41, Private, 340148, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -65, Private, 154171, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 60, United-States, >50K -27, Private, 94064, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 119098, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 388496, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 8, Puerto-Rico, >50K -49, Private, 181363, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -58, ?, 210031, HS-grad, 9, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 206951, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K -25, Private, 485496, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 210259, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -31, Private, 118551, 9th, 5, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 180911, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 4386, 0, 37, United-States, >50K -50, State-gov, 242517, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 298113, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 277783, Masters, 14, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 99, United-States, <=50K -48, Private, 155862, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -51, Self-emp-not-inc, 171924, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 243900, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -23, Private, 231160, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -31, Private, 356882, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 40, United-States, <=50K -38, Private, 49020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 105460, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, England, <=50K -56, Private, 157749, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Private, 131568, 7th-8th, 4, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -46, Private, 332355, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 204501, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -56, Local-gov, 305767, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -31, Private, 129761, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-inc, 130126, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -53, Private, 102828, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -18, Private, 160984, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -18, ?, 255282, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 1602, 48, United-States, <=50K -20, ?, 346341, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 285897, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 45, United-States, >50K -31, Private, 356689, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Federal-gov, 192386, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 40, United-States, <=50K -46, Private, 394860, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 113129, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -26, Private, 55929, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Local-gov, 177018, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 161141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 309463, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 165468, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K -24, Private, 49218, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -74, Self-emp-not-inc, 119129, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2149, 20, United-States, <=50K -56, Self-emp-not-inc, 162130, 5th-6th, 3, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 67, United-States, >50K -39, Federal-gov, 129573, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -21, Private, 306850, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 135296, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2258, 45, United-States, >50K -43, Self-emp-not-inc, 187322, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 55674, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 2907, 0, 40, United-States, <=50K -26, Private, 148298, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -47, Private, 34845, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 200733, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K -45, Private, 191858, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -30, Private, 425528, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 70, United-States, <=50K -35, Private, 44780, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 20, United-States, >50K -33, Private, 125856, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 100508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 148294, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 39324, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Federal-gov, 147397, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K -46, Private, 24728, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -36, Private, 177616, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 163826, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 199947, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 386949, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -36, Self-emp-inc, 116133, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 57, United-States, <=50K -56, Self-emp-not-inc, 196307, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 177181, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 324854, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -23, Private, 188505, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -23, State-gov, 502316, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, State-gov, 26892, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 102058, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Private, 167728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -67, Local-gov, 233681, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -60, Private, 26756, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -54, Private, 101890, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 192337, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, >50K -47, Private, 340982, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, Philippines, >50K -49, State-gov, 102308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -19, Private, 84747, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K -20, Private, 197752, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 185336, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -22, ?, 289984, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K -51, Self-emp-not-inc, 125417, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -19, Private, 278480, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 146412, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 193042, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -41, Private, 53956, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1980, 56, United-States, <=50K -90, Private, 175491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 9386, 0, 50, Ecuador, >50K -78, ?, 33186, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 144154, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 194901, Prof-school, 15, Divorced, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 335777, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -46, Private, 139268, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Private, 33887, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 283613, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 141245, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K -49, Private, 298130, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 186096, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -77, Private, 187656, Some-college, 10, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -46, Private, 102308, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, United-States, >50K -41, Private, 124639, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 388112, 1st-4th, 2, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 77, Mexico, <=50K -21, Private, 109952, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 164529, 12th, 8, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 247750, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K -23, State-gov, 103588, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -38, Federal-gov, 248919, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 40, United-States, <=50K -29, Self-emp-not-inc, 178551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 136137, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, >50K -47, Federal-gov, 55377, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, >50K -39, Local-gov, 177728, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Local-gov, 243580, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K -21, ?, 188535, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 63910, HS-grad, 9, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -23, Private, 219535, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, State-gov, 180609, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 59313, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -70, Private, 170428, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K -51, Private, 102615, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1977, 40, United-States, >50K -66, Private, 193132, 9th, 5, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -57, Self-emp-inc, 124137, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 136629, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Self-emp-inc, 148995, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -24, ?, 203076, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 63424, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -43, Private, 241895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 266973, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 188048, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 366929, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 214129, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 250818, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 240979, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 98283, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -26, Private, 104746, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 60, United-States, <=50K -39, Private, 103710, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -24, Private, 159580, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 75, United-States, <=50K -45, Private, 117409, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 140001, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, State-gov, 31650, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Female, 0, 0, 45, United-States, <=50K -35, State-gov, 80771, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 66278, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 107801, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1617, 25, United-States, <=50K -33, Private, 206609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 282461, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 188246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 279763, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K -44, Private, 467799, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 137674, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 158284, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 204219, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -28, State-gov, 210498, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Federal-gov, 63526, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -38, Federal-gov, 216924, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 372559, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -57, Federal-gov, 199114, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 2258, 40, United-States, <=50K -50, Private, 168539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Local-gov, 189911, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -69, Local-gov, 61958, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 1424, 0, 6, United-States, <=50K -51, State-gov, 68898, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 2444, 39, United-States, >50K -42, Private, 204450, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 311350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 113750, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 359591, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 132879, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K -20, Private, 301199, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -38, State-gov, 267540, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -52, Private, 185407, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, Poland, >50K -48, Self-emp-inc, 191277, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Private, 78980, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 241463, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 65, United-States, >50K -47, Private, 216999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Local-gov, 120508, Bachelors, 13, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 60, Germany, <=50K -33, Private, 122612, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Thailand, <=50K -20, Private, 94057, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -41, State-gov, 197558, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 351869, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1485, 45, United-States, >50K -54, Self-emp-not-inc, 121761, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K -36, Federal-gov, 184556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 268281, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 235646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 186909, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -62, Private, 35783, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 188861, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 363591, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 469921, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 51150, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 174325, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 347530, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -50, Private, 72351, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -42, Local-gov, 185129, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, ?, >50K -36, Private, 188571, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 255252, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 291951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 223046, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 37937, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, <=50K -38, Private, 295127, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 183801, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 14, United-States, <=50K -40, Private, 116218, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -40, Private, 143069, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 235951, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -57, Private, 112840, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -65, Local-gov, 146454, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1648, 4, Greece, <=50K -52, Federal-gov, 43705, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -59, Private, 122283, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, India, >50K -18, Private, 376647, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 2176, 0, 25, United-States, <=50K -48, Private, 101299, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 96798, 5th-6th, 3, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 194654, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, State-gov, 206889, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 226902, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -44, State-gov, 150755, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 40, United-States, <=50K -24, Private, 200679, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 50, United-States, <=50K -71, Private, 183678, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K -17, Private, 33138, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 57071, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K -71, ?, 35303, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 30, United-States, >50K -37, Private, 188576, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -33, Private, 169496, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 58124, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 356344, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 444134, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K -18, ?, 340117, 11th, 7, Never-married, ?, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K -34, Private, 219619, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, ?, 334585, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 331046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -46, ?, 443179, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -64, ?, 239529, 11th, 7, Widowed, ?, Not-in-family, White, Female, 3674, 0, 35, United-States, <=50K -24, Private, 100345, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 205653, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -33, Private, 112383, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 21626, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 2202, 0, 56, United-States, <=50K -25, Private, 135568, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 190532, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -53, Federal-gov, 266598, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Local-gov, 116608, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -36, Private, 353263, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -25, State-gov, 157617, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Federal-gov, 21698, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 77143, 12th, 8, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -18, State-gov, 342852, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 176602, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 146343, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K -68, ?, 146645, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 50, United-States, >50K -33, Private, 221966, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 2202, 0, 50, United-States, <=50K -22, Private, 215546, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -50, State-gov, 173020, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, ?, 247734, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 252202, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 497300, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 426431, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Federal-gov, 162410, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -77, ?, 143516, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K -25, Private, 190350, 10th, 6, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 194504, Some-college, 10, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Federal-gov, 110884, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -26, Private, 187652, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 81400, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, El-Salvador, <=50K -70, ?, 97831, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 4, United-States, <=50K -57, Private, 180920, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 189186, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, ?, 144172, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, <=50K -36, Private, 607848, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K -32, Private, 207301, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 293073, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -36, Private, 210452, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 41400, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 164170, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, Philippines, <=50K -48, Private, 112906, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K -49, Self-emp-not-inc, 126268, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 208311, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 20, United-States, >50K -61, Private, 28291, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 82, United-States, <=50K -42, Local-gov, 121998, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -42, Federal-gov, 31621, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 108386, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 134727, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 208391, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 112271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 173350, Assoc-voc, 11, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 243190, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, India, >50K -55, Private, 185436, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -36, Private, 290409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 80058, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 48, United-States, <=50K -56, Local-gov, 370045, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 36936, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 40, United-States, <=50K -37, Private, 231180, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 119793, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K -38, Private, 102178, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -76, ?, 135039, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -35, ?, 317780, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 232840, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -35, Private, 33975, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 256997, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 298301, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 310380, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -45, Local-gov, 182100, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 501172, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K -43, State-gov, 143939, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, >50K -23, Private, 85088, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K -25, Private, 282313, 10th, 6, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 1602, 40, United-States, <=50K -39, Private, 230054, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -63, Private, 236338, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K -37, Private, 321943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Federal-gov, 218782, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Other, Male, 0, 0, 40, United-States, <=50K -33, Private, 191385, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -45, Self-emp-inc, 185497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 70, ?, <=50K -28, Private, 126129, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 199268, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 255693, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 203488, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 203233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 203836, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 187847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -38, Private, 116358, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -46, Self-emp-inc, 198660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 72, United-States, >50K -43, Self-emp-not-inc, 89636, Bachelors, 13, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 60, South, <=50K -49, Private, 120629, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -26, Local-gov, 150226, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K -28, Private, 137898, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -54, Self-emp-inc, 146574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 88725, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Other, Female, 0, 0, 40, ?, <=50K -24, Private, 142022, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 284898, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, United-States, <=50K -55, Local-gov, 212448, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 203039, 9th, 5, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 227489, HS-grad, 9, Never-married, Tech-support, Other-relative, Black, Male, 0, 0, 40, ?, <=50K -19, Private, 105289, 10th, 6, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K -28, ?, 223745, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 242994, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -30, Private, 196385, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -76, Private, 116202, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K -47, Private, 140045, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 133503, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -40, Private, 226585, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -24, Private, 85041, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 162442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 50, United-States, >50K -67, Private, 279980, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 10605, 0, 10, United-States, >50K -24, Private, 216563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -43, Local-gov, 231964, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 263855, 12th, 8, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 124915, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Federal-gov, 178312, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 215862, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K -21, State-gov, 39236, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -58, Private, 349910, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -52, Private, 75839, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 176711, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 266525, Some-college, 10, Never-married, Prof-specialty, Other-relative, Black, Female, 594, 0, 20, United-States, <=50K -25, ?, 34307, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 331776, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 111469, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, State-gov, 198965, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 288185, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -21, Private, 198050, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -65, Private, 242580, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 11678, 0, 50, United-States, >50K -37, Private, 173128, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 87905, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -44, Private, 173704, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Federal-gov, 93225, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 40, United-States, >50K -38, Private, 323269, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 158046, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 70, United-States, <=50K -32, Private, 133503, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 172296, Some-college, 10, Separated, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -39, ?, 201105, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 176486, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -25, Self-emp-inc, 182750, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -23, Private, 82497, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K -47, Private, 208872, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 145269, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -25, Private, 19214, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 149347, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -68, ?, 53850, 7th-8th, 4, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -50, Private, 158294, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K -47, Private, 152073, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 189623, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 341368, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 201603, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 2176, 0, 40, United-States, <=50K -35, Private, 270572, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -30, Private, 285295, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -17, Private, 126779, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -49, ?, 202874, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K -27, Private, 373499, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, El-Salvador, <=50K -22, Private, 244773, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -22, State-gov, 96862, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 162632, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 2, United-States, <=50K -51, Self-emp-not-inc, 159755, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K -27, Private, 37088, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 335421, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -23, Never-worked, 188535, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -20, State-gov, 349365, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 33002, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -32, Private, 330715, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K -45, Private, 146857, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -35, Private, 275522, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K -22, Private, 43646, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 154548, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -28, Private, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 238397, Bachelors, 13, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -48, Local-gov, 195949, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, >50K -22, ?, 354351, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 349169, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -25, Private, 158662, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K -23, Local-gov, 23438, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 107302, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -43, Private, 174196, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 226871, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -23, Private, 124971, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 214061, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 441700, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 104892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, >50K -34, Private, 234386, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Local-gov, 188278, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 244395, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 30916, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -48, Private, 219565, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 377486, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K -42, Local-gov, 137232, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -53, Private, 233369, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 71067, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -59, Private, 195176, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, <=50K -31, Private, 98639, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 183778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 123011, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2559, 50, United-States, >50K -25, Private, 164938, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 4416, 0, 40, United-States, <=50K -28, ?, 147471, HS-grad, 9, Divorced, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -30, Private, 206046, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K -46, Private, 81497, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -45, Private, 189225, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 141264, Some-college, 10, Never-married, Exec-managerial, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 97939, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -44, Private, 160829, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 20, United-States, >50K -25, Private, 483822, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K -48, State-gov, 148738, Some-college, 10, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 289982, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 58702, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 50, United-States, >50K -20, Private, 146706, Some-college, 10, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 420973, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -71, Private, 124959, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, State-gov, 121471, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 198237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -27, Private, 280758, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 191544, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 261023, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -30, State-gov, 231043, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 340917, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 167140, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K -39, Private, 370795, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, Federal-gov, 209609, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -74, Private, 209454, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 78530, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -25, Private, 88922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -64, Private, 86972, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 165468, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K -37, Private, 134367, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 37, United-States, >50K -47, Private, 199058, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 183612, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 191982, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -22, Private, 514033, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 80, United-States, <=50K -56, Private, 172364, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 190105, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K -30, Self-emp-inc, 119422, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -20, Private, 236592, 12th, 8, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, Italy, <=50K -53, State-gov, 43952, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 38, United-States, >50K -43, Private, 194636, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -23, Private, 235853, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 150528, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 213722, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 41432, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 46, United-States, <=50K -22, Private, 285775, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 470663, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -54, Self-emp-not-inc, 114520, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 113466, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 224559, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -59, Private, 186385, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 167094, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -18, ?, 216508, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -41, Local-gov, 384236, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 181265, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -58, Private, 190997, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 98287, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 103456, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 184723, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 1980, 35, United-States, <=50K -25, Private, 165622, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -29, Private, 101597, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K -53, Private, 146378, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Local-gov, 152163, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 106812, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -21, Private, 148211, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 3674, 0, 50, United-States, <=50K -45, Private, 187581, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 135296, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -72, Local-gov, 144515, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1258, 40, United-States, <=50K -51, Private, 210736, 10th, 6, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 210165, 9th, 5, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 224584, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 80771, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Private, 164733, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 41, United-States, <=50K -31, Self-emp-not-inc, 119411, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K -68, Local-gov, 177596, 10th, 6, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 90, United-States, <=50K -43, ?, 396116, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 185251, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 173590, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 3, United-States, <=50K -56, Federal-gov, 196307, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, ?, 293091, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K -36, Private, 175232, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -21, Private, 51047, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 334618, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Female, 99999, 0, 40, United-States, >50K -52, Local-gov, 152795, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 205601, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K -52, Private, 129177, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 2824, 20, United-States, >50K -51, Self-emp-not-inc, 121548, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K -29, Private, 244566, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 75073, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K -29, Private, 179008, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -21, Private, 170800, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -58, Private, 373344, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 127961, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 99392, Some-college, 10, Divorced, Craft-repair, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -30, Private, 392812, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, Germany, <=50K -29, Private, 262478, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -48, Self-emp-not-inc, 32825, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 167380, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 203204, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, >50K -35, Federal-gov, 105138, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -54, Private, 145714, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 25, United-States, >50K -24, Private, 182276, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K -20, Private, 275385, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -30, Self-emp-not-inc, 292472, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, >50K -19, Self-emp-not-inc, 73514, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K -26, Private, 199600, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 111499, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 99, United-States, >50K -25, Private, 202560, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 99309, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -60, Local-gov, 124987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -30, Private, 287986, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 119411, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 198668, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 117583, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 234664, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, ?, 114357, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 176949, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K -33, Private, 189710, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K -65, Private, 205309, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, <=50K -34, Private, 195576, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 216825, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, Mexico, <=50K -23, ?, 329174, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 197036, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 181291, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1564, 50, United-States, >50K -31, Private, 206512, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -28, State-gov, 38309, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 6849, 0, 40, United-States, <=50K -37, Private, 312766, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 139671, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -66, Federal-gov, 38621, Assoc-voc, 11, Widowed, Other-service, Unmarried, Black, Female, 3273, 0, 40, United-States, <=50K -31, Private, 124827, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 77820, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Federal-gov, 56904, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5013, 0, 45, United-States, <=50K -45, Private, 190115, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 106682, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Local-gov, 42596, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 143058, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K -53, Private, 102615, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -54, Private, 139703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, Germany, >50K -43, Private, 240124, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 132565, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 323798, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K -52, Private, 96359, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K -20, Private, 165201, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 4, United-States, <=50K -60, Federal-gov, 165630, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K -45, Private, 264526, Assoc-acdm, 12, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 102359, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K -28, Private, 37359, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -61, ?, 232618, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Local-gov, 115497, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 157747, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K -27, Self-emp-not-inc, 41099, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 472604, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K -33, Private, 348618, 5th-6th, 3, Married-spouse-absent, Transport-moving, Unmarried, Other, Male, 0, 0, 20, El-Salvador, <=50K -43, Private, 135606, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -36, Private, 248445, HS-grad, 9, Separated, Transport-moving, Other-relative, White, Male, 0, 0, 60, Mexico, <=50K -38, Private, 112093, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Local-gov, 197552, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 303822, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 288566, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, ?, 487411, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Self-emp-not-inc, 43348, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -39, State-gov, 239409, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 337606, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1485, 40, United-States, <=50K -34, Private, 32528, Assoc-voc, 11, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 974, 40, United-States, <=50K -47, State-gov, 118447, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -46, Private, 234690, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 141003, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -43, Private, 216042, Some-college, 10, Divorced, Tech-support, Own-child, White, Female, 0, 1617, 72, United-States, <=50K -45, Private, 190482, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 381965, Bachelors, 13, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 186943, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K -39, Private, 142707, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 53447, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 127772, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 344414, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 194138, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, ?, 558183, Assoc-voc, 11, Married-spouse-absent, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 150154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 306114, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -72, ?, 177121, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K -58, Local-gov, 368797, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 35, United-States, >50K -43, Self-emp-inc, 175715, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K -62, Private, 416829, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K -21, Private, 350001, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 339952, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 114967, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 164190, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 38, United-States, >50K -49, Local-gov, 166039, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 250135, HS-grad, 9, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 234960, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1887, 48, United-States, >50K -29, Private, 103628, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -58, Private, 430005, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Self-emp-inc, 106517, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 162236, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 92430, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Local-gov, 40641, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -47, Private, 169388, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -36, Local-gov, 410034, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -48, Private, 237525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 65, United-States, >50K -35, Private, 150057, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 148549, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -43, Private, 75742, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 177675, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K -49, Local-gov, 193249, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 266072, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, El-Salvador, <=50K -28, ?, 80165, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -25, Private, 339324, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -69, ?, 111238, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -41, Self-emp-not-inc, 284086, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 206051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 426263, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K -49, Private, 102583, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 44, United-States, >50K -40, Private, 277647, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 124808, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, Germany, >50K -47, Private, 193061, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -50, Private, 121411, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 89202, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 232900, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -30, Local-gov, 319280, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -79, ?, 165209, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 193494, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -67, Self-emp-not-inc, 195066, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 99146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Private, 92028, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 174419, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 57916, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 383384, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 198223, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K -20, Private, 109813, 11th, 7, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 174298, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -40, Private, 45687, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 4787, 0, 50, United-States, >50K -28, Private, 263614, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 96128, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 220262, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 35340, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 280483, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 254211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -29, Private, 351324, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 58602, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 64922, Bachelors, 13, Separated, Other-service, Not-in-family, White, Male, 0, 0, 70, England, <=50K -41, Federal-gov, 185616, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K -43, Private, 185832, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K -24, Private, 254767, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 50, United-States, <=50K -39, Federal-gov, 32312, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -47, Self-emp-not-inc, 109421, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 183205, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -39, Private, 156897, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 2258, 42, United-States, >50K -48, Local-gov, 145886, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -47, Local-gov, 29819, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 50, United-States, >50K -27, Private, 244566, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 253801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Ecuador, <=50K -22, Private, 181313, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -37, State-gov, 150566, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -38, Private, 237713, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 112137, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 4508, 0, 40, Cambodia, <=50K -48, Local-gov, 187969, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 80, United-States, <=50K -46, Self-emp-not-inc, 224108, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K -51, Private, 174754, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -28, Self-emp-inc, 219705, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 55, United-States, <=50K -35, Private, 167062, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 190325, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K -45, Private, 108859, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 344351, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -73, Private, 153127, Some-college, 10, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -52, Private, 180881, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 183066, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Federal-gov, 339002, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 185480, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, ?, >50K -20, Private, 172047, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K -42, Private, 94600, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -37, Private, 302604, Some-college, 10, Separated, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 248094, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 36467, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 53181, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -20, Private, 181032, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 248990, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 40512, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 3674, 0, 30, United-States, <=50K -37, Private, 117381, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 80, United-States, >50K -18, ?, 173125, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K -33, ?, 316663, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 50, United-States, <=50K -26, Private, 154966, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -24, Private, 198259, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -33, Private, 167939, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 131275, HS-grad, 9, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -20, ?, 236523, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 272950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 174503, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -24, Private, 116800, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K -38, Private, 110713, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 202044, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -44, Private, 300528, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 54985, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K -57, Private, 133126, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 74593, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -44, Private, 302424, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -21, Private, 344492, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -31, Private, 349148, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 222221, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 42, United-States, >50K -45, Private, 234699, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 60, United-States, >50K -20, Local-gov, 243178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 189728, HS-grad, 9, Separated, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -47, Self-emp-not-inc, 318593, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K -41, Private, 108681, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 187376, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -41, State-gov, 75409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Private, 172581, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -49, Private, 266150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 271092, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, ?, <=50K -50, Private, 135643, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K -59, Private, 46466, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 130652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -47, Local-gov, 114459, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -47, ?, 109832, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 30, Canada, >50K -45, Private, 195554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -17, Private, 244589, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 271901, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, >50K -73, Private, 139978, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 180446, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -64, ?, 178724, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -38, State-gov, 341643, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -37, Federal-gov, 289653, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -62, Self-emp-inc, 118725, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 20051, 0, 72, United-States, >50K -26, Private, 187891, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 116338, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -46, Private, 102771, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K -51, Private, 89652, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 4787, 0, 24, United-States, >50K -54, Federal-gov, 439608, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 330144, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 251905, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 218955, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 188972, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 10, Canada, <=50K -60, Self-emp-not-inc, 25825, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -33, Private, 202046, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K -62, Private, 116104, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, Germany, <=50K -20, Private, 194891, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 125550, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 14084, 0, 35, United-States, >50K -66, Private, 116468, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 2936, 0, 20, United-States, <=50K -32, ?, 285131, Assoc-acdm, 12, Never-married, ?, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -29, State-gov, 409201, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -70, Self-emp-inc, 379819, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 10566, 0, 40, United-States, <=50K -74, Private, 97167, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, <=50K -37, Local-gov, 244803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -51, Self-emp-not-inc, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 118058, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 258589, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -26, Private, 158810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -27, Local-gov, 92431, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 2231, 40, United-States, >50K -58, Self-emp-not-inc, 165695, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -30, ?, 97281, Some-college, 10, Separated, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 244147, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K -66, Self-emp-inc, 253741, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1825, 10, United-States, >50K -23, Private, 170482, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 241001, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K -50, Private, 165001, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, ?, 297117, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 340260, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -31, Private, 96480, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -30, Private, 185177, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 49, United-States, <=50K -84, Self-emp-inc, 172907, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K -35, Self-emp-not-inc, 308874, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 54098, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Private, 288608, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 254148, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -37, Private, 111128, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 171116, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -53, Self-emp-inc, 96062, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 48, United-States, >50K -27, Federal-gov, 276776, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 152878, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 149211, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 58343, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -38, Private, 127601, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 357781, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 137367, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 44, Philippines, <=50K -34, Private, 110978, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -31, Private, 34503, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 84119, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K -20, Private, 223515, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 372525, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -32, Private, 116365, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -36, Private, 111268, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 225599, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, India, >50K -78, ?, 83511, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Portugal, <=50K -46, Self-emp-not-inc, 199596, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -18, Private, 301867, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -57, Private, 191983, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 105803, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 456236, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 116255, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -32, Private, 235109, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Federal-gov, 91716, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 121102, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 2001, 30, United-States, <=50K -70, Private, 235781, Some-college, 10, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -40, Private, 136986, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Self-emp-not-inc, 33658, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 53878, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 200928, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 173736, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -28, Private, 214385, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -58, Private, 102509, 10th, 6, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -38, Private, 173047, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 213, 40, Philippines, <=50K -59, Self-emp-not-inc, 241297, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Female, 6849, 0, 40, United-States, <=50K -18, Private, 329054, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -40, Private, 274158, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 241153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 200117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, ?, >50K -45, Private, 229516, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 72, Mexico, <=50K -62, ?, 250091, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K -24, State-gov, 247075, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -22, Private, 315524, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 30, Dominican-Republic, <=50K -23, Private, 126945, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 29874, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -28, Private, 115579, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K -51, Private, 29580, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 30, United-States, >50K -44, Private, 56483, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K -73, ?, 89852, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Portugal, <=50K -24, Private, 420779, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 35, United-States, <=50K -24, Private, 255474, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 241444, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 50, Puerto-Rico, <=50K -43, Private, 85995, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -67, Self-emp-inc, 116986, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 217962, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -36, Private, 20507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K -43, Private, 184099, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 117816, 7th-8th, 4, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 70, United-States, <=50K -23, Private, 263899, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, Haiti, <=50K -26, Private, 45869, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 186539, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 326310, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -55, Local-gov, 84564, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -49, Private, 247294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -34, Private, 72793, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -29, Private, 261375, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 60, United-States, <=50K -50, Private, 77905, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -19, Private, 66838, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 9, United-States, <=50K -63, State-gov, 194682, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -66, Private, 180211, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K -65, ?, 79272, Some-college, 10, Widowed, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 6, United-States, <=50K -60, Private, 101198, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -60, Private, 80574, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -19, Private, 198663, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Self-emp-inc, 160340, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -75, Self-emp-not-inc, 205860, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1735, 40, United-States, <=50K -58, State-gov, 69579, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -18, Self-emp-not-inc, 379242, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -65, Private, 113323, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3818, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 312477, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -26, Private, 259505, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Federal-gov, 171335, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -19, ?, 541282, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Federal-gov, 155970, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 99682, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 52, Canada, >50K -23, Private, 117789, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 296158, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Local-gov, 78859, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, ?, 188070, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K -50, Private, 189811, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, State-gov, 518030, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 1590, 40, Puerto-Rico, <=50K -32, Private, 360593, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -40, Private, 145504, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 459248, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -30, ?, 288419, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K -42, State-gov, 126094, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 39, United-States, <=50K -23, Private, 209483, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K -37, Self-emp-not-inc, 32239, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K -21, Private, 210355, 11th, 7, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -28, Private, 84547, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -50, ?, 260579, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 105585, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K -21, Private, 132320, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 129172, Some-college, 10, Never-married, Other-service, Other-relative, White, Male, 0, 0, 16, United-States, <=50K -45, Self-emp-not-inc, 222374, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 201498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Self-emp-inc, 251675, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 50, Cuba, >50K -41, Private, 114157, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Local-gov, 148121, Bachelors, 13, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -73, ?, 84053, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -34, Private, 96480, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 179423, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -58, State-gov, 123329, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -41, Private, 134130, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Private, 188644, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -40, Private, 226388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 209205, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -32, Private, 209808, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 47, United-States, <=50K -44, Self-emp-inc, 56236, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 2202, 0, 45, United-States, <=50K -18, Private, 28648, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -37, State-gov, 34996, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 281422, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -22, Private, 214716, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 314177, 10th, 6, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 112310, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 203783, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 72, United-States, <=50K -29, Private, 205499, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 48, United-States, >50K -44, Private, 155701, 7th-8th, 4, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, Peru, <=50K -37, State-gov, 186934, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Federal-gov, 209433, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -31, Private, 80933, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K -20, Private, 102607, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -48, Private, 254809, 10th, 6, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 1594, 32, United-States, <=50K -24, Self-emp-not-inc, 102942, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -56, State-gov, 175057, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Federal-gov, 68781, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 108594, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 98283, Prof-school, 15, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 1564, 40, India, >50K -39, Private, 56269, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 152503, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -38, Self-emp-inc, 206951, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K -23, Private, 82393, 9th, 5, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K -37, Private, 167396, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -30, Self-emp-not-inc, 123397, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -58, ?, 147653, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 36, United-States, <=50K -42, Private, 118652, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 114401, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 1504, 19, United-States, <=50K -45, Private, 186272, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7298, 0, 40, United-States, >50K -46, Private, 182689, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 231016, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 37, United-States, <=50K -41, Self-emp-inc, 60949, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -49, Private, 129513, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 84306, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 117507, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 88050, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 6, United-States, <=50K -22, Private, 305498, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 33, United-States, <=50K -17, Private, 295308, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K -47, Private, 114459, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 176017, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K -39, Private, 248445, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -23, Private, 214542, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 384508, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Federal-gov, 403489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -52, Private, 143953, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -21, Private, 254904, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -33, Private, 98995, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -17, ?, 237078, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -41, Private, 193995, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -19, Private, 205829, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -38, Federal-gov, 205852, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -24, Private, 37072, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 275338, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 1151, 0, 40, United-States, <=50K -39, State-gov, 122353, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 100009, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -31, ?, 37030, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -42, Private, 135056, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 135162, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, ?, <=50K -29, Private, 280618, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 226717, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Local-gov, 173938, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 291355, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -61, Federal-gov, 160155, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 29762, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, ?, 82473, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -59, Private, 172071, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 38, Jamaica, <=50K -29, Private, 166210, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 330263, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 247043, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Federal-gov, 155238, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 130557, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 56986, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K -29, Private, 220692, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 121650, 5th-6th, 3, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -67, Private, 174603, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 341846, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, Private, 99339, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 880, 40, United-States, <=50K -32, Private, 34437, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 141058, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 62, Mexico, <=50K -49, Private, 192323, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 117674, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -39, Private, 28572, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 120277, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 164309, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -47, Federal-gov, 102771, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 147951, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 1, United-States, <=50K -23, Private, 188409, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 4508, 0, 25, United-States, <=50K -44, Private, 173888, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, >50K -25, Private, 247006, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 82889, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -52, Private, 259363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -62, Federal-gov, 159165, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -31, Private, 112062, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 299050, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, ?, 186452, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 36, United-States, <=50K -53, Private, 548580, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -25, Private, 234057, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 241350, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -69, Private, 108196, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 2993, 0, 40, United-States, <=50K -49, Private, 278322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 157443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 27, Taiwan, >50K -44, Self-emp-not-inc, 37618, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Local-gov, 238582, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, >50K -37, State-gov, 28887, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 77820, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -22, Private, 110946, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Local-gov, 230420, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 206521, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, ?, 156877, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -28, Local-gov, 283227, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K -28, Private, 141957, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 58337, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, ?, <=50K -73, Local-gov, 161027, 5th-6th, 3, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 20, United-States, <=50K -37, Self-emp-not-inc, 31670, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 205844, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 65, United-States, <=50K -30, State-gov, 46144, HS-grad, 9, Married-AF-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -38, Private, 168055, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 98350, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -69, ?, 182668, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Private, 208613, Prof-school, 15, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 99999, 0, 40, United-States, >50K -42, Private, 334522, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -54, State-gov, 187686, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -27, State-gov, 365916, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K -39, Private, 190719, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 218184, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K -30, Private, 222162, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 66, United-States, <=50K -30, Private, 148524, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2057, 40, United-States, <=50K -37, Private, 267085, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Federal-gov, 307555, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -36, Private, 229180, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K -22, Private, 279041, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 10, United-States, <=50K -21, Private, 312017, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 54782, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1579, 42, United-States, <=50K -76, Private, 70697, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -22, ?, 263970, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -37, Private, 188774, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 302770, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Private, 183639, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 97, United-States, <=50K -29, Private, 178551, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 175343, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -73, Self-emp-not-inc, 190078, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 117627, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 108419, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -74, Private, 183701, 10th, 6, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 6, United-States, <=50K -27, State-gov, 208406, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 148884, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -90, Private, 87285, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -47, Private, 199058, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -42, Private, 173628, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -69, Private, 370837, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 179484, 12th, 8, Never-married, ?, Own-child, Other, Male, 0, 0, 40, United-States, <=50K -23, Private, 342769, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -44, Local-gov, 65145, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -41, Private, 150533, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 40, United-States, <=50K -47, Local-gov, 272182, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 403467, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7688, 0, 40, United-States, >50K -33, Private, 252168, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 80430, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -39, Private, 189623, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -43, Private, 115806, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 2547, 40, United-States, >50K -18, ?, 28357, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 226084, HS-grad, 9, Widowed, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 150817, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -27, Self-emp-inc, 190911, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -27, Self-emp-inc, 120126, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K -45, Local-gov, 255559, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -79, ?, 142370, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -24, Private, 173679, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 35854, Some-college, 10, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 82161, 10th, 6, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -63, Self-emp-not-inc, 129845, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 226505, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 46, United-States, >50K -47, Private, 151584, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K -42, Private, 136419, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 66460, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -63, Local-gov, 379940, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Local-gov, 102936, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -65, Private, 205309, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K -30, ?, 156890, 10th, 6, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 208711, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K -46, Private, 137547, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -23, Private, 220168, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 25, Jamaica, <=50K -47, Local-gov, 37672, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K -20, Private, 196643, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -21, ?, 355686, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -28, Private, 197484, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Local-gov, 115023, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, State-gov, 234824, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 72, United-States, <=50K -30, State-gov, 361497, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K -29, Private, 351871, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -39, Private, 324231, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 123490, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -32, Private, 188245, 11th, 7, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -63, Private, 50349, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -19, Self-emp-not-inc, 47176, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -57, State-gov, 290661, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -41, Private, 221172, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 188950, Assoc-voc, 11, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 356882, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -43, Self-emp-inc, 150533, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -64, Self-emp-not-inc, 167149, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K -56, Private, 301835, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 313729, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 130957, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 197732, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -17, Private, 250541, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -29, Private, 218785, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 65, United-States, <=50K -23, ?, 232512, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 194630, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 38721, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 22, United-States, <=50K -36, Private, 201519, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -50, Private, 279337, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -41, ?, 27187, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 2415, 12, United-States, >50K -31, Private, 87560, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -71, ?, 100820, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 2489, 15, United-States, <=50K -56, Private, 208431, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K -51, Private, 143822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -20, Private, 163205, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -53, Private, 171924, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14344, 0, 55, United-States, >50K -33, State-gov, 137616, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -27, Private, 156516, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 2377, 20, United-States, <=50K -40, Private, 119101, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -45, Private, 117556, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -54, Private, 147863, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 5013, 0, 40, Vietnam, <=50K -33, Self-emp-not-inc, 24504, HS-grad, 9, Separated, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -27, ?, 157624, HS-grad, 9, Separated, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 181721, 10th, 6, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 60, United-States, <=50K -42, Local-gov, 55363, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -33, Private, 92865, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 258633, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, ?, <=50K -52, Federal-gov, 221532, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Local-gov, 183224, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, >50K -30, Private, 381153, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 300871, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 33710, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K -26, Private, 158333, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K -36, Private, 288103, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 108907, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 358533, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K -24, Private, 126613, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 8, United-States, <=50K -30, Private, 164190, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 52, United-States, >50K -38, Private, 199816, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 98228, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -41, Local-gov, 129060, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 22245, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -36, Private, 226918, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K -47, Private, 398652, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -59, Private, 268840, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 16, United-States, >50K -35, ?, 103710, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 16, ?, <=50K -59, Private, 91384, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -52, Private, 174767, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -37, Self-emp-inc, 126675, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -52, Private, 82285, Bachelors, 13, Married-spouse-absent, Other-service, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K -51, Private, 177727, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -67, Self-emp-not-inc, 345236, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -58, ?, 347692, 11th, 7, Divorced, ?, Not-in-family, Black, Male, 0, 0, 15, United-States, <=50K -68, Private, 156000, 10th, 6, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -71, Private, 228806, 9th, 5, Divorced, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 6, United-States, <=50K -49, Local-gov, 184428, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 102938, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 161063, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 253752, 10th, 6, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 274800, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 129804, 9th, 5, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -22, Federal-gov, 65547, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -57, Private, 161097, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K -18, Private, 118376, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -32, Private, 131224, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 120985, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 215392, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 63685, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Cambodia, <=50K -48, Private, 131826, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 211440, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Private, 31023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 145439, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Other, Male, 4064, 0, 40, Mexico, <=50K -19, Private, 255161, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K -28, Private, 411950, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 275818, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K -18, Private, 318082, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -23, Local-gov, 287988, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Local-gov, 138342, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 3411, 0, 40, El-Salvador, <=50K -42, Federal-gov, 115932, Bachelors, 13, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 60358, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 140117, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K -34, Private, 158040, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -30, Self-emp-inc, 321990, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, ?, >50K -29, Private, 232784, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 349368, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -46, Federal-gov, 325573, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -69, Private, 140176, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K -50, Private, 128478, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -19, ?, 318264, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -59, Private, 147989, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K -45, Federal-gov, 155659, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, State-gov, 288433, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 329205, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 171373, 11th, 7, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 228860, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 196116, Prof-school, 15, Divorced, Prof-specialty, Own-child, White, Female, 2174, 0, 72, United-States, <=50K -17, Private, 47771, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 201680, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 337378, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 246449, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K -48, Private, 227714, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 177285, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -38, Private, 71701, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, Portugal, <=50K -49, Private, 30219, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K -42, Private, 280167, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-inc, 27408, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 167031, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K -41, Private, 173682, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 278557, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 113688, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -41, Self-emp-not-inc, 252986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 33669, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -56, Private, 100776, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -47, Self-emp-not-inc, 177457, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -30, State-gov, 312767, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -51, Private, 43354, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Self-emp-inc, 375422, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, South, <=50K -49, Self-emp-not-inc, 263568, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -67, ?, 74335, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 10, Germany, <=50K -26, Private, 302097, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 48, United-States, <=50K -35, Private, 248010, Bachelors, 13, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -37, ?, 87369, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 405577, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, State-gov, 167065, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 102476, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Federal-gov, 526528, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K -32, Private, 175878, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -55, Private, 213894, 11th, 7, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -17, Private, 150262, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 75363, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 272671, Bachelors, 13, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -67, Self-emp-inc, 411007, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 15831, 0, 40, United-States, >50K -44, Private, 222434, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 180246, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -25, Private, 171236, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 367037, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 304651, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -62, Private, 97017, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -20, Private, 146879, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K -45, State-gov, 320818, Some-college, 10, Married-spouse-absent, Other-service, Other-relative, Black, Male, 0, 0, 40, Haiti, <=50K -47, Self-emp-not-inc, 84735, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K -49, Private, 184428, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 326886, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -24, ?, 169624, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -29, Private, 212102, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -23, Private, 175837, 11th, 7, Never-married, Farming-fishing, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K -50, Private, 177487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 286750, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1902, 40, United-States, >50K -44, Private, 171424, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 194981, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 36, United-States, <=50K -73, Private, 199362, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 204226, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, State-gov, 72506, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K -61, Self-emp-inc, 61040, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 36, United-States, >50K -37, Federal-gov, 194630, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 391867, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 94080, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 289405, 11th, 7, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 12, United-States, <=50K -30, Private, 170130, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 158118, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 1719, 40, United-States, <=50K -30, Private, 447739, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -90, ?, 39824, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 401, 0, 4, United-States, <=50K -76, ?, 312500, 5th-6th, 3, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 223342, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1504, 35, United-States, <=50K -65, ?, 293385, Preschool, 1, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K -25, Private, 106377, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 66118, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 274883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 123773, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 70655, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -49, Private, 177426, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 200374, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -19, State-gov, 159269, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K -24, Private, 235894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -34, Local-gov, 97723, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 167309, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 98106, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Federal-gov, 22201, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K -45, Private, 108993, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 265954, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 100960, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 170092, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -54, Private, 326156, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 216932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -69, Private, 36956, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 50, United-States, >50K -24, Private, 214014, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 99872, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -61, State-gov, 151459, 10th, 6, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -57, Self-emp-inc, 161662, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K -56, Private, 367200, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 86648, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K -51, Local-gov, 168539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 140741, 11th, 7, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 197651, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 43, United-States, <=50K -46, Private, 123053, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K -23, Private, 330571, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 204235, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, State-gov, 346766, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, ?, 257250, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 163396, Some-college, 10, Never-married, Tech-support, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K -78, ?, 135839, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 1086, 0, 20, United-States, <=50K -18, Private, 36251, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -40, Private, 149102, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 2174, 0, 60, Poland, <=50K -61, ?, 222395, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 29152, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 79303, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 272338, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, State-gov, 200497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 148392, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 164243, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K -43, State-gov, 129298, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Local-gov, 174981, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 47, United-States, >50K -48, Local-gov, 328610, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 77774, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 34, United-States, <=50K -38, State-gov, 134069, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K -35, Private, 209214, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4386, 0, 35, United-States, >50K -29, Private, 153805, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Ecuador, <=50K -27, Private, 168827, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 2, United-States, <=50K -31, Private, 373432, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -26, Private, 57600, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 302847, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 227594, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -32, Federal-gov, 44777, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 46, United-States, <=50K -54, ?, 133963, HS-grad, 9, Widowed, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 279615, Bachelors, 13, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 276133, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 136314, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 204410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 44, United-States, >50K -59, Self-emp-inc, 223215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -43, Private, 184625, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -34, Self-emp-inc, 265917, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 158647, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 22055, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -41, Local-gov, 176716, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 270721, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -24, Private, 100321, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -35, Private, 79050, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 72, United-States, <=50K -40, Local-gov, 42703, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Private, 116952, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K -45, Private, 331643, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 207937, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1092, 40, United-States, <=50K -68, Private, 223486, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 7, England, <=50K -33, Private, 340332, Bachelors, 13, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -23, Private, 184813, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -42, Self-emp-not-inc, 32185, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -30, Private, 197886, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -35, State-gov, 248374, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 382499, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -36, State-gov, 108320, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Male, 5455, 0, 30, United-States, <=50K -46, Self-emp-inc, 161386, 9th, 5, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, <=50K -49, Local-gov, 110172, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 144032, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 224426, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 38, United-States, <=50K -37, Private, 230408, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -50, Local-gov, 20795, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 174714, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -59, State-gov, 398626, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 45, United-States, >50K -30, Private, 149531, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 34113, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Local-gov, 323790, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 331381, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 160647, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Ireland, >50K -34, Private, 339142, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 164857, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -33, Local-gov, 267859, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 167725, Bachelors, 13, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male, 0, 0, 84, India, <=50K -49, Federal-gov, 586657, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -67, Self-emp-not-inc, 105907, 1st-4th, 2, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -23, Private, 200677, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 193882, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 138026, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 122385, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 49020, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 283715, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 286406, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -36, Private, 166416, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 156334, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 45607, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -40, Local-gov, 112362, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 200419, Assoc-acdm, 12, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -42, State-gov, 341638, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -25, ?, 34161, 12th, 8, Separated, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -50, Self-emp-not-inc, 127151, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, Canada, >50K -52, Private, 321959, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K -51, Local-gov, 35211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -19, Private, 214935, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 132130, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 222247, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 165799, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 257874, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -38, Private, 357173, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, State-gov, 305739, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 172047, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 110677, Some-college, 10, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, ?, 405684, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K -60, Private, 82388, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K -45, Private, 289230, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, >50K -26, Private, 101812, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 5721, 0, 40, United-States, <=50K -49, State-gov, 336509, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 383402, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -47, Private, 328216, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K -40, Private, 280362, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 212064, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 7443, 0, 35, United-States, <=50K -42, Private, 173704, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 433375, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K -63, Self-emp-not-inc, 106551, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 22418, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 54816, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 358199, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Private, 190044, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 97698, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -56, Private, 53366, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 236136, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 326232, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -34, Private, 581071, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -40, Private, 220589, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Federal-gov, 161463, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -44, Private, 95255, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Federal-gov, 223267, Some-college, 10, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 72, United-States, <=50K -22, Private, 236769, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, England, <=50K -58, Self-emp-inc, 229498, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, >50K -43, Private, 177083, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 287681, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Columbia, <=50K -41, Private, 49797, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 174051, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -32, Private, 194901, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 252250, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K -47, Private, 191277, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 174907, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -39, Private, 167140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 236543, 12th, 8, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 54, Mexico, <=50K -40, Private, 214242, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 216864, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 3770, 45, United-States, <=50K -34, Private, 245211, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 2036, 0, 30, United-States, <=50K -57, Private, 437727, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K -71, Private, 200418, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 167334, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -54, Private, 146834, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -26, Private, 78424, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K -37, Private, 182675, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K -28, Self-emp-not-inc, 38079, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -42, Private, 115178, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -45, Private, 195949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 167415, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 223214, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 22245, Bachelors, 13, Married-civ-spouse, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -45, State-gov, 81853, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K -30, Private, 147921, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -27, Private, 29261, HS-grad, 9, Married-AF-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 257758, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, State-gov, 136546, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -38, Private, 205493, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K -19, Private, 71650, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 150217, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -55, Self-emp-inc, 258648, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 114798, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -43, Private, 186188, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Local-gov, 175255, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 249935, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 120277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -26, Private, 193165, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K -32, Private, 185027, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, Ireland, >50K -21, Private, 221418, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 56063, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 153927, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 163110, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -40, Self-emp-inc, 175696, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 51, United-States, <=50K -46, Private, 143189, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K -20, ?, 114969, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, State-gov, 32778, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 150683, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 78104, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 335005, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3137, 0, 40, United-States, <=50K -50, Local-gov, 311551, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -42, Self-emp-not-inc, 201520, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 124111, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -60, Private, 166386, 11th, 7, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 30, Hong, <=50K -43, State-gov, 117471, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 361307, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 142038, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 45, United-States, <=50K -35, Private, 276552, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 50402, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 174090, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -27, Private, 277760, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 24243, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -44, Self-emp-inc, 151089, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 70, United-States, >50K -52, Self-emp-not-inc, 165278, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 22, United-States, <=50K -49, Private, 182752, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Private, 173002, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 261232, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 164607, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 129573, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -51, Federal-gov, 36186, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 325744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 329793, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -46, Private, 133616, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 83401, 5th-6th, 3, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -76, Private, 239880, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -25, Private, 201737, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 192182, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K -33, Private, 143540, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 28334, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 245873, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 199095, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 104461, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 8614, 0, 50, Italy, >50K -33, Local-gov, 183923, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K -30, Private, 129707, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K -41, Local-gov, 575442, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, State-gov, 184682, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 69251, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -31, Private, 225507, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 167515, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -35, Private, 407068, 1st-4th, 2, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -40, Private, 170019, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -46, Local-gov, 125892, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Local-gov, 35824, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -35, Private, 67083, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -23, Private, 107801, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -50, Self-emp-not-inc, 95577, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 12, ?, <=50K -43, Private, 118536, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -61, Private, 198078, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 78261, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 234108, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 241998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1672, 50, United-States, <=50K -40, Private, 92717, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 257683, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 40388, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -24, Private, 55424, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 169600, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 2176, 0, 12, United-States, <=50K -40, Local-gov, 319271, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -37, Self-emp-not-inc, 75050, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -31, Private, 182896, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 188274, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 211497, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 113806, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, ?, >50K -47, Local-gov, 172246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -48, Local-gov, 219962, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, ?, 186815, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, ?, 132749, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -28, Private, 209801, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, State-gov, 178517, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 169364, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K -32, Federal-gov, 164707, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -55, Private, 144084, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 133692, Bachelors, 13, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 184169, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K -45, Self-emp-inc, 145290, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Local-gov, 24824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 178319, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -22, Private, 235829, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, ?, 196280, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -42, Self-emp-not-inc, 54202, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 220237, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -24, Private, 59146, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -67, Private, 64148, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 41, United-States, <=50K -28, Private, 196621, HS-grad, 9, Married-spouse-absent, Tech-support, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -56, Private, 195668, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Cuba, >50K -31, State-gov, 263000, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K -33, Private, 554986, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, ?, 108211, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 217654, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Germany, >50K -53, Private, 139671, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -47, Private, 102771, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K -40, Private, 213019, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -35, Private, 228493, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K -65, Self-emp-not-inc, 22907, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 24364, Some-college, 10, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K -23, Federal-gov, 41432, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -39, Private, 235259, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 343476, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -37, Private, 326886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 248313, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 30290, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 188540, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 237943, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K -25, Private, 198870, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -30, Private, 233980, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 171090, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 48, United-States, <=50K -22, Private, 353039, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 36, Mexico, <=50K -46, Federal-gov, 213140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -54, Private, 188136, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 1408, 38, United-States, <=50K -33, Private, 130057, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -70, State-gov, 345339, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 182074, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Local-gov, 176557, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -55, State-gov, 71630, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K -17, Private, 159849, 11th, 7, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 183425, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 125933, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -40, Local-gov, 180123, HS-grad, 9, Married-spouse-absent, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 592930, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K -28, Private, 183802, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Private, 77005, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K -49, Private, 80914, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -63, Self-emp-inc, 165667, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 123991, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K -48, Self-emp-inc, 181307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -55, Private, 124137, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K -18, ?, 137363, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 4, United-States, <=50K -20, Private, 291979, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -49, Private, 91251, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -27, Federal-gov, 148153, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -37, Private, 131463, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K -32, State-gov, 127651, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-inc, 239018, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, Private, 276087, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 26, United-States, <=50K -34, Private, 386877, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -61, Private, 210464, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -25, Private, 632834, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 245465, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -18, Private, 198087, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -35, Private, 27408, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 242713, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -56, Private, 314727, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K -40, State-gov, 269733, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 177287, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K -66, Private, 167711, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -42, Private, 112181, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 339002, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -39, State-gov, 24721, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -65, Self-emp-not-inc, 37092, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K -20, Private, 216563, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 204447, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 40, United-States, >50K -24, ?, 151153, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 99999, 0, 50, South, >50K -39, Private, 187089, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 423052, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 169180, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Hong, <=50K -21, Private, 104981, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 48, United-States, <=50K -35, ?, 120074, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 269323, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 141549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 214858, 10th, 6, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 55, United-States, <=50K -34, Private, 173524, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -54, Local-gov, 365049, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -38, Private, 60355, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 86808, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -33, State-gov, 174171, Some-college, 10, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -32, Federal-gov, 504951, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 294064, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, <=50K -46, Private, 120131, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, >50K -48, Private, 199058, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 152328, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Federal-gov, 88564, 7th-8th, 4, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 95113, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, >50K -36, Private, 247558, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 60, ?, >50K -25, Private, 178421, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -43, Private, 484861, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 38, United-States, <=50K -27, Local-gov, 225291, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 205735, 1st-4th, 2, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 58898, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 48, United-States, <=50K -39, Private, 355468, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 46, United-States, >50K -60, Self-emp-not-inc, 184362, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K -27, Private, 347513, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 138768, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 29810, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 126501, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 60783, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K -26, Private, 179772, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -45, Self-emp-inc, 281911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -33, Private, 70447, HS-grad, 9, Never-married, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -55, ?, 449576, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, Mexico, <=50K -29, Private, 327964, 9th, 5, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -72, Private, 496538, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 6360, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 153066, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -53, State-gov, 77651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 119493, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 256240, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -69, Private, 177374, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 1848, 0, 12, United-States, <=50K -41, Local-gov, 37848, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -45, Private, 129336, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 183511, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 120131, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K -55, Private, 190508, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, United-States, <=50K -31, Private, 363130, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -45, Private, 240356, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -64, Private, 133166, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 5, United-States, <=50K -38, Private, 32916, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 117477, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 34748, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1887, 20, United-States, >50K -22, Private, 459463, 12th, 8, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K -23, Private, 95989, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -25, Private, 118088, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 150570, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 43, United-States, >50K -31, ?, 505438, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, Mexico, <=50K -37, Private, 179731, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -53, Private, 122109, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 1876, 38, United-States, <=50K -28, Local-gov, 163942, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 106670, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -41, Private, 123403, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-inc, 119986, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 66622, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -20, ?, 40060, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 56, United-States, <=50K -35, Private, 260578, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K -64, Local-gov, 96076, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 70604, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K -39, Self-emp-not-inc, 230329, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1564, 12, United-States, >50K -53, Private, 49715, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 116531, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Federal-gov, 214542, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -25, Local-gov, 335005, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, Italy, <=50K -19, Private, 258633, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 203240, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -27, Private, 104457, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -55, Local-gov, 99131, HS-grad, 9, Married-civ-spouse, Prof-specialty, Other-relative, White, Female, 0, 2246, 40, United-States, >50K -52, State-gov, 125796, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1848, 40, United-States, >50K -21, ?, 479482, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 167790, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 133758, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K -22, Private, 106843, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 117959, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 4386, 0, 40, United-States, >50K -26, Private, 174921, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 134152, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -57, Private, 99364, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -18, Local-gov, 155905, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K -30, Private, 467108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -34, Self-emp-not-inc, 304622, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -40, Private, 198692, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 60, United-States, >50K -60, Private, 178050, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -25, Private, 162687, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 113151, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -48, Private, 158924, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -27, Self-emp-not-inc, 141795, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -33, Self-emp-not-inc, 33404, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, >50K -65, Self-emp-inc, 178771, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 168553, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K -27, Private, 110648, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 151053, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 142871, Some-college, 10, Separated, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -18, ?, 343161, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K -27, Private, 183523, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -57, Self-emp-not-inc, 222216, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, <=50K -44, Private, 121874, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 55, United-States, >50K -30, Private, 467108, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -26, Private, 34393, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Federal-gov, 42003, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Private, 180418, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Self-emp-not-inc, 199590, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Mexico, <=50K -33, Private, 144949, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -50, Private, 155594, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Self-emp-not-inc, 162576, 7th-8th, 4, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 99, United-States, <=50K -33, Private, 232475, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 269474, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K -45, Local-gov, 140644, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -26, ?, 39640, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -50, ?, 346014, 7th-8th, 4, Separated, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -47, Self-emp-not-inc, 159726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Federal-gov, 290856, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 217886, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -21, ?, 199915, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -58, Private, 106546, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 2174, 0, 40, United-States, <=50K -50, Local-gov, 220640, Masters, 14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, >50K -33, Federal-gov, 88913, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 288486, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 227411, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Local-gov, 99935, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 50, United-States, >50K -57, Private, 201112, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 123778, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -21, Private, 204596, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K -40, Private, 190290, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 196674, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 108435, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K -38, Private, 186359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 137076, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -22, State-gov, 262819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 171655, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -42, Private, 183319, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -36, Private, 127306, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K -22, Private, 68678, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, State-gov, 140108, 9th, 5, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 263444, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, State-gov, 265554, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 410216, 11th, 7, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -46, State-gov, 20534, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -55, Private, 188917, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -76, Private, 98695, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -27, Private, 411950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -50, Private, 237819, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -75, Private, 187424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -42, Federal-gov, 198316, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 139703, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -51, Private, 152596, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 194726, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K -44, Private, 82601, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 229843, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -60, Private, 122276, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, Italy, <=50K -47, State-gov, 188386, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -73, Private, 92298, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 15, United-States, <=50K -27, Private, 390657, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 89041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K -35, Private, 314897, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -31, Private, 166343, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 50, ?, <=50K -45, Private, 88781, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, >50K -57, Private, 41762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, >50K -34, Private, 849857, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K -19, Private, 307496, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -25, Private, 324372, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 99270, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, Germany, >50K -28, Private, 160731, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, >50K -48, State-gov, 148306, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 259019, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -53, Private, 224894, 5th-6th, 3, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 10, Haiti, <=50K -19, Private, 258470, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 197919, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K -23, Private, 213719, Assoc-acdm, 12, Never-married, Sales, Own-child, Black, Female, 0, 0, 36, United-States, <=50K -32, Private, 226535, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 146042, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -21, Private, 180339, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 1602, 30, United-States, <=50K -24, Private, 99970, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 300687, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Local-gov, 219906, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 25, United-States, >50K -24, Private, 122234, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, ?, <=50K -55, Private, 158641, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 239539, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -46, Local-gov, 102308, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 186934, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 234447, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 125933, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 142760, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -41, State-gov, 309056, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Self-emp-not-inc, 48859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K -30, Private, 110594, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -72, Private, 426562, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -17, Private, 169037, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 123075, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K -38, Private, 195744, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -36, Private, 81896, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -24, Self-emp-not-inc, 172047, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 253814, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -28, Private, 66473, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, ?, 56248, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1485, 70, United-States, >50K -42, Local-gov, 271521, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Other, Male, 0, 0, 40, United-States, >50K -48, Private, 265295, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 174308, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 196342, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -55, Private, 223594, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, Puerto-Rico, >50K -30, Private, 149787, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 124686, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -45, Private, 50163, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 175789, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 218215, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 166371, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 169469, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -52, Private, 145081, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -68, Private, 214521, Prof-school, 15, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -26, Local-gov, 287233, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K -52, Private, 201310, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -46, Self-emp-not-inc, 197836, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 50, United-States, <=50K -53, Private, 158294, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -17, Private, 127366, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K -29, Private, 203697, Bachelors, 13, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 75, United-States, <=50K -41, Private, 168730, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Private, 165232, Some-college, 10, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K -57, Private, 175942, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -30, Federal-gov, 356689, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Japan, <=50K -46, Private, 132912, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -45, Private, 187226, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, ?, 254765, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 202565, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K -38, State-gov, 103925, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 2036, 0, 20, United-States, <=50K -22, Private, 112164, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, ?, <=50K -59, Self-emp-not-inc, 70623, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 85, United-States, <=50K -36, Private, 102729, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 558944, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 256967, 10th, 6, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -62, ?, 144583, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 102412, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 159788, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -27, Private, 55743, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 45, United-States, >50K -47, State-gov, 148171, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, France, >50K -20, Local-gov, 271354, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 98524, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 272913, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, Mexico, <=50K -22, Private, 324445, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 155469, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -36, Private, 102945, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 291904, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -41, Federal-gov, 186601, HS-grad, 9, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 172401, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 193285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -34, Private, 176244, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 117779, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 35, United-States, <=50K -22, ?, 34616, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 169182, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, Puerto-Rico, <=50K -27, Private, 180758, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Local-gov, 141637, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 169023, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K -34, Self-emp-not-inc, 101266, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 62, United-States, <=50K -30, Private, 164190, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 142282, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -39, Federal-gov, 103984, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -64, Private, 187601, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Self-emp-not-inc, 36218, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -29, State-gov, 106334, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -37, Local-gov, 249392, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Self-emp-not-inc, 110355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Self-emp-not-inc, 117944, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K -17, Private, 163836, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K -29, Private, 145592, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -24, Private, 108495, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, India, <=50K -27, Self-emp-not-inc, 212041, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -69, Self-emp-inc, 182451, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 124020, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 199116, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -17, ?, 144114, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 107438, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1651, 40, United-States, <=50K -70, Private, 405362, 7th-8th, 4, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -32, Private, 175856, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 40, United-States, >50K -21, ?, 262241, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 420054, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 9562, 0, 50, United-States, >50K -27, Private, 86681, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 187161, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -44, State-gov, 691903, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K -36, Private, 219483, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 199058, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -29, Private, 192010, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Poland, <=50K -34, Federal-gov, 419691, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 54, United-States, >50K -28, Local-gov, 356089, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 684015, 5th-6th, 3, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K -18, Private, 36882, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -39, Private, 203180, Some-college, 10, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -34, Private, 183811, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 103966, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 41, United-States, <=50K -24, Private, 304602, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 57233, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -50, State-gov, 289207, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, >50K -68, Private, 224019, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 267966, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 214800, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 241528, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 197365, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 296724, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K -26, Private, 136226, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 40623, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 264874, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 112847, HS-grad, 9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -18, ?, 236090, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 89028, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -71, State-gov, 210673, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 28, United-States, <=50K -55, Private, 60193, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 216137, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K -36, Private, 139743, Some-college, 10, Widowed, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, ?, 32276, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 423605, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 40, Nicaragua, >50K -27, Private, 298871, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -42, Private, 318255, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 347867, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 1719, 40, United-States, <=50K -57, Private, 279636, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -34, Private, 405386, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 28, United-States, <=50K -31, Private, 297188, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -24, Private, 182342, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 229148, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 60, Jamaica, <=50K -30, Private, 189620, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 6849, 0, 40, England, <=50K -17, Private, 413557, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 32, United-States, <=50K -26, Self-emp-inc, 246025, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 20, Honduras, <=50K -32, Private, 390997, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 50, Mexico, <=50K -55, Private, 102058, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 247298, 12th, 8, Married-spouse-absent, Other-service, Own-child, Other, Female, 0, 0, 20, United-States, <=50K -28, Private, 140108, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -55, ?, 216941, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 2885, 0, 40, United-States, <=50K -49, Private, 81654, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 177526, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 64631, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 110028, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 203761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 163870, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -59, Federal-gov, 117299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -20, Private, 50648, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 166517, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 173800, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 10, Taiwan, <=50K -44, Self-emp-inc, 181762, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Self-emp-not-inc, 340880, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -50, Self-emp-not-inc, 114758, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 4416, 0, 45, United-States, <=50K -54, Private, 138847, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 215014, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 183778, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 273629, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Self-emp-inc, 113870, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 213955, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 2001, 40, United-States, <=50K -29, Private, 114982, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 205338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 57924, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 50, United-States, >50K -90, ?, 225063, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 10, South, <=50K -35, Self-emp-not-inc, 202027, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K -20, Private, 281356, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, United-States, <=50K -42, Private, 30824, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 2354, 0, 16, United-States, <=50K -56, Private, 98809, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 5013, 0, 45, United-States, <=50K -31, Private, 38223, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 172232, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 140544, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 221366, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 180799, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -36, Private, 111499, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K -44, Self-emp-not-inc, 155930, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 201122, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -27, Private, 101709, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -49, Private, 140121, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 172709, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 120131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 117444, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -27, Private, 256764, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 176185, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4064, 0, 40, ?, <=50K -24, Private, 223811, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 201603, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -25, Private, 138765, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 133974, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Federal-gov, 137953, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -57, Private, 103403, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 461678, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -41, State-gov, 70884, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, State-gov, 466498, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K -19, Private, 148644, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 190739, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 32, United-States, <=50K -34, Private, 299507, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 211424, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, State-gov, 106721, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 192017, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 530099, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 55, United-States, >50K -34, Private, 119153, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 202450, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K -21, Private, 50341, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -24, Private, 140001, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Italy, <=50K -19, ?, 220517, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K -82, ?, 52921, Some-college, 10, Widowed, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 3, United-States, <=50K -35, Private, 31964, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Private, 148207, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 151627, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -30, Private, 402539, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 188278, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -28, Self-emp-not-inc, 96219, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 5, United-States, <=50K -29, Private, 340534, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -60, Private, 160339, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K -28, Private, 120135, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Federal-gov, 303817, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 181091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 200515, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, >50K -42, Private, 160893, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 23, United-States, <=50K -40, Local-gov, 183096, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Yugoslavia, >50K -24, Private, 241367, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 342084, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -36, Private, 193855, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 80410, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 554317, 9th, 5, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K -46, Private, 85109, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1628, 40, United-States, <=50K -28, Private, 108569, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, <=50K -34, Private, 120959, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 222011, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -43, Private, 238530, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 48404, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 88055, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3781, 0, 16, United-States, <=50K -33, Private, 238381, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 8614, 0, 40, United-States, >50K -22, Private, 243923, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 80, United-States, <=50K -39, Private, 305597, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 141841, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 5178, 0, 40, United-States, >50K -39, Private, 129764, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 150993, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -63, Self-emp-not-inc, 147140, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -46, State-gov, 30219, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 38, United-States, >50K -48, Private, 167967, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 133278, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -65, Private, 172510, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 1848, 0, 20, Hungary, <=50K -39, Private, 192251, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, >50K -43, Private, 210844, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K -28, Private, 263015, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 155118, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 35, United-States, >50K -24, State-gov, 232918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -48, Private, 143542, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 45607, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 29828, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 104118, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 191446, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -50, Private, 27484, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 205987, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K -39, Local-gov, 143385, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, ?, 200508, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 186995, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 54159, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -39, Private, 113481, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -30, Local-gov, 235271, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 349365, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 65, United-States, <=50K -18, Private, 283637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 70282, Assoc-acdm, 12, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 166051, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 193720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K -35, ?, 124836, Some-college, 10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 36, United-States, <=50K -33, Private, 236379, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 122026, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -40, Private, 114537, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 191834, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -29, Private, 420054, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 160045, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -34, Private, 303187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K -45, Private, 190088, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -53, Private, 126977, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -52, Self-emp-not-inc, 63004, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -64, Private, 391121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 211450, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -44, Private, 156413, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 44, United-States, >50K -41, Private, 116797, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K -53, Local-gov, 204447, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K -25, Private, 66935, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -20, Private, 344278, 11th, 7, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 108574, Assoc-voc, 11, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 244605, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 363677, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 30, United-States, >50K -56, Private, 219762, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K -38, Self-emp-inc, 269318, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -62, Private, 77884, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -28, Self-emp-not-inc, 70100, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 213643, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 40, United-States, <=50K -24, Private, 69640, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 170012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 34, United-States, <=50K -40, Private, 329924, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -31, Private, 193285, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 261241, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1741, 60, United-States, <=50K -42, Federal-gov, 108183, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, South, >50K -20, Private, 296618, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -30, Local-gov, 257796, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 155320, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 151888, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -65, ?, 143118, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 2206, 10, United-States, <=50K -31, Private, 66278, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3908, 0, 40, United-States, <=50K -56, Private, 92444, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K -51, Private, 229272, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Male, 0, 0, 32, Haiti, <=50K -36, Self-emp-not-inc, 207202, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, State-gov, 154176, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 1590, 40, United-States, <=50K -49, Private, 180899, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 1755, 45, United-States, >50K -28, Private, 205337, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 180779, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -33, Self-emp-not-inc, 343021, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -49, Private, 176814, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K -74, State-gov, 88638, Doctorate, 16, Never-married, Prof-specialty, Other-relative, White, Female, 0, 3683, 20, United-States, >50K -48, Private, 248059, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 45, United-States, <=50K -38, Private, 409604, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -39, Private, 185053, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 332884, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 65, United-States, >50K -56, Private, 212864, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 66473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 285169, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 175431, 9th, 5, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -18, ?, 152641, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 339346, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -39, Private, 287306, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 70604, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3464, 0, 40, United-States, <=50K -21, Private, 88926, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -36, Private, 91275, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -56, Private, 244554, 10th, 6, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Private, 232586, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 127678, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K -44, Private, 162184, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 408229, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, El-Salvador, <=50K -43, State-gov, 139734, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -62, Private, 197286, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, Germany, <=50K -52, Private, 229983, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 30, United-States, >50K -25, Private, 252803, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -63, Self-emp-inc, 110890, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -51, Private, 160724, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 99, South, <=50K -25, Private, 89625, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -62, ?, 266037, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 126730, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Federal-gov, 96854, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 186788, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 28996, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Self-emp-not-inc, 347166, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, State-gov, 110311, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 310850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 220694, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -61, Private, 149405, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -70, Self-emp-inc, 131699, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -55, Private, 49996, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 187112, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -36, Private, 180859, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, United-States, <=50K -29, Private, 185647, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 316606, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 274657, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -39, Federal-gov, 193583, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 60, United-States, <=50K -18, Private, 338836, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 216814, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 106935, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 223433, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 174789, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 135603, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -25, ?, 344719, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K -38, Private, 372484, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 181820, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 235371, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 216711, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, ?, >50K -20, Private, 299399, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 202508, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -44, Private, 172025, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -49, Self-emp-inc, 246891, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 450920, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 53598, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 103757, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 76017, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -28, Self-emp-inc, 80158, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Federal-gov, 90881, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 8614, 0, 55, United-States, >50K -44, Private, 427952, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 230955, 12th, 8, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -53, Private, 177916, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -36, Private, 342642, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -77, Private, 253642, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 30, United-States, <=50K -21, Private, 219086, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -24, Private, 162593, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -30, Private, 87561, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 142411, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -22, Private, 154422, Some-college, 10, Divorced, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, Philippines, <=50K -23, Private, 169104, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, United-States, <=50K -47, Private, 193047, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -17, Private, 151141, 12th, 8, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -48, Private, 267912, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, Mexico, >50K -43, Private, 137126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 152453, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -19, Private, 357059, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -42, State-gov, 202011, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 98283, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 176965, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -63, Private, 187919, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -65, Private, 274916, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 105813, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -41, Local-gov, 193524, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 152734, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, <=50K -21, Private, 263641, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -48, Local-gov, 102076, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -51, State-gov, 155594, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -43, Private, 33331, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -22, State-gov, 156773, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, ?, <=50K -56, Self-emp-not-inc, 115439, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, Private, 181652, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 120268, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K -39, Private, 196308, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 24, United-States, <=50K -45, Self-emp-not-inc, 40690, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 75, United-States, <=50K -49, Private, 228583, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, Columbia, <=50K -23, Private, 695136, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -69, Private, 209236, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 36, United-States, <=50K -41, Federal-gov, 214838, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -40, Self-emp-not-inc, 188436, HS-grad, 9, Separated, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 177625, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 124591, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 230856, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 3325, 0, 50, United-States, <=50K -50, Federal-gov, 221532, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 232577, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 30, United-States, <=50K -48, Private, 168216, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 214702, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -63, Private, 237620, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, State-gov, 54887, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 164526, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K -28, Private, 224506, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, ?, <=50K -58, Private, 183870, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 208330, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, United-States, <=50K -67, Self-emp-inc, 168370, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 320376, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 48, United-States, <=50K -28, Private, 192384, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 167350, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 103538, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K -29, Private, 58522, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 191342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -25, Private, 193820, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 258490, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 56520, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 102476, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -44, Self-emp-inc, 311357, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 166497, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K -50, Private, 160724, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K -29, Private, 338270, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 282394, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 21, United-States, <=50K -32, Private, 383269, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 119386, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -50, Private, 196975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 334221, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -58, Private, 27385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -29, State-gov, 133846, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 361888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -21, Private, 230429, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -49, Private, 328776, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 243829, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -39, Private, 306646, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, >50K -50, Private, 138179, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -30, Private, 280069, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -55, Private, 305759, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -64, Local-gov, 164876, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -29, Self-emp-inc, 138597, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 111483, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -42, Private, 144778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 171015, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 112494, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 408473, 12th, 8, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, State-gov, 27802, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K -34, Private, 236318, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 121836, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 38, United-States, >50K -43, Self-emp-not-inc, 315971, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 698418, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -21, Private, 329530, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -65, Private, 194456, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, >50K -20, Private, 282579, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 26401, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -38, State-gov, 364958, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3464, 0, 40, United-States, <=50K -22, Private, 83998, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 94364, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 20, United-States, <=50K -44, Private, 174189, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Local-gov, 101967, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 146908, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -38, Private, 126675, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2205, 40, United-States, <=50K -21, Private, 31606, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, Germany, <=50K -24, Private, 132327, Some-college, 10, Married-spouse-absent, Sales, Unmarried, Other, Female, 0, 0, 30, Ecuador, <=50K -24, Private, 112459, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -28, Private, 48894, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 181943, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -48, Private, 247685, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -24, Local-gov, 195808, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 172052, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 35, South, >50K -50, Local-gov, 50178, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 55, United-States, <=50K -68, Private, 351711, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 190305, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 464103, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -18, ?, 36348, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 48, United-States, <=50K -25, Private, 120238, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K -28, Private, 354095, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Local-gov, 308901, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -24, State-gov, 208826, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, England, <=50K -20, Private, 369677, 10th, 6, Separated, Sales, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -45, Federal-gov, 98524, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 239723, Some-college, 10, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 1506, 0, 45, United-States, <=50K -57, Private, 231232, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 236396, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K -24, ?, 119156, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 320451, Some-college, 10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Male, 0, 0, 24, India, <=50K -41, Private, 38397, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Self-emp-inc, 189183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 199281, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 286342, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -50, Private, 152810, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Self-emp-inc, 176981, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K -17, Private, 117549, 10th, 6, Never-married, Sales, Other-relative, Black, Female, 0, 0, 12, United-States, <=50K -64, Private, 254797, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 133336, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Self-emp-not-inc, 182826, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -51, Private, 136224, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 134475, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1762, 40, United-States, <=50K -48, Private, 272778, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -44, Private, 279183, Some-college, 10, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 40, United-States, >50K -47, Private, 110243, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 202071, HS-grad, 9, Widowed, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 197642, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -19, Private, 125591, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 197462, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 238831, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 182177, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K -40, Local-gov, 240504, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Self-emp-inc, 125892, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K -46, Private, 154430, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -32, Private, 207685, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 3908, 0, 40, United-States, <=50K -50, Private, 222020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 243240, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -26, Private, 158734, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 257691, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 144483, Assoc-voc, 11, Divorced, Sales, Own-child, White, Female, 594, 0, 35, United-States, <=50K -19, Private, 209826, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -53, Private, 30244, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -54, Private, 133050, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 41, United-States, <=50K -29, Private, 138332, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 6, United-States, <=50K -81, Private, 201398, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 60, ?, <=50K -37, Private, 526968, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, >50K -40, Private, 79036, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -36, Private, 240323, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 270544, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -44, State-gov, 199551, 11th, 7, Separated, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 231052, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -69, State-gov, 203072, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 126771, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 7, United-States, <=50K -38, Private, 31848, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 328981, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 159670, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 450695, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -57, Private, 182028, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 349620, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 161066, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K -46, Private, 213611, 7th-8th, 4, Married-spouse-absent, Priv-house-serv, Unmarried, White, Female, 0, 1594, 24, Guatemala, <=50K -21, Private, 548303, HS-grad, 9, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 40, Mexico, >50K -29, Private, 150861, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Japan, <=50K -33, ?, 335625, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 133766, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -28, Private, 200511, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 50103, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -37, ?, 148266, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, Mexico, <=50K -49, Private, 177211, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 132686, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -57, Federal-gov, 21626, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 52900, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 150084, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -38, Private, 248886, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 42, United-States, <=50K -51, Self-emp-not-inc, 118259, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 60, United-States, <=50K -60, Private, 145493, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 219546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 3411, 0, 47, United-States, <=50K -44, Federal-gov, 399155, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -19, Self-emp-not-inc, 227310, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -59, Private, 333270, Masters, 14, Married-civ-spouse, Craft-repair, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K -50, Private, 231495, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Federal-gov, 133935, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Federal-gov, 55237, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 183034, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -32, Private, 245487, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K -32, Private, 185480, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 114251, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 181814, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 340917, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -37, Private, 241998, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K -38, Self-emp-inc, 125324, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K -36, Private, 34744, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -56, Private, 131608, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Federal-gov, 226916, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -56, Private, 124137, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K -17, Private, 96282, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K -46, Private, 337050, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -56, Private, 229335, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, State-gov, 199495, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 111675, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, <=50K -27, Private, 139209, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 32372, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -33, Self-emp-not-inc, 203784, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 62, United-States, <=50K -33, Private, 164190, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -38, Private, 64875, Some-college, 10, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -51, Private, 41806, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 208725, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -49, Local-gov, 79019, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -26, Private, 136951, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 203554, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -37, Private, 252947, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 1719, 32, United-States, <=50K -38, Private, 170861, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 199590, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, >50K -41, Private, 529216, Bachelors, 13, Divorced, Tech-support, Unmarried, Black, Male, 7430, 0, 45, ?, >50K -33, Private, 195576, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 60, United-States, <=50K -30, Private, 182177, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K -25, State-gov, 183678, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -50, Private, 209320, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-inc, 206862, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, >50K -37, Private, 168941, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 201263, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, United-States, >50K -17, Private, 75333, 10th, 6, Never-married, Sales, Own-child, Black, Female, 0, 0, 24, United-States, <=50K -65, ?, 299494, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 1797, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 163212, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 99999, 0, 40, United-States, >50K -57, Private, 139290, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -33, Private, 400416, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -41, Self-emp-not-inc, 223763, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -45, Private, 77927, Bachelors, 13, Widowed, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -50, Private, 175804, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -18, Private, 91525, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -19, Private, 279968, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 77698, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -61, ?, 198686, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K -67, ?, 190340, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 113491, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 202878, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 108431, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 194490, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -37, Private, 48093, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 90, United-States, >50K -22, Private, 136824, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 143280, 10th, 6, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 24, United-States, <=50K -26, Private, 150062, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Local-gov, 298510, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 177147, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 6849, 0, 65, United-States, <=50K -51, Private, 115025, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 350440, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -60, Private, 83850, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 62669, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -24, Private, 229773, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Local-gov, 196234, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 40, Puerto-Rico, <=50K -69, ?, 163595, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 157249, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 1977, 50, United-States, >50K -65, Private, 80174, HS-grad, 9, Divorced, Exec-managerial, Other-relative, White, Female, 1848, 0, 50, United-States, <=50K -52, Self-emp-inc, 49069, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -38, Private, 122952, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -18, Private, 123856, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 49, United-States, <=50K -24, Private, 216181, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 180062, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -21, Private, 188535, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -67, Self-emp-not-inc, 106143, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K -64, Self-emp-not-inc, 170421, Some-college, 10, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -25, Private, 283087, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, Federal-gov, 341051, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Self-emp-not-inc, 34378, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 380674, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 52, United-States, <=50K -19, Private, 304469, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, United-States, <=50K -35, Private, 99146, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 205109, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 99156, HS-grad, 9, Separated, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -45, Private, 97842, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K -18, Private, 100875, 11th, 7, Never-married, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K -51, Private, 200576, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 63, United-States, <=50K -36, Private, 355053, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 28, United-States, <=50K -18, Private, 118376, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, ?, <=50K -37, Local-gov, 117760, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -37, Private, 117567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -39, Federal-gov, 189632, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -21, Private, 170108, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, State-gov, 27243, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -33, Private, 192663, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 526164, Bachelors, 13, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 146579, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 60288, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, State-gov, 241951, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 213140, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 218124, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -22, Self-emp-not-inc, 279802, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 3, United-States, <=50K -26, Private, 153078, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 80, ?, >50K -40, Private, 167919, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 250832, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 193158, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 172032, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 39484, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 42, United-States, >50K -45, Private, 84298, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -43, Private, 269015, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, Germany, >50K -17, ?, 262196, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 8, United-States, <=50K -49, Federal-gov, 125892, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 134890, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K -60, Self-emp-not-inc, 261119, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 119409, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Columbia, <=50K -53, Self-emp-not-inc, 118793, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 184207, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 191027, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 207782, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -48, Self-emp-not-inc, 209146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -76, ?, 79445, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 1173, 0, 40, United-States, <=50K -19, Private, 187724, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -28, Private, 66777, Assoc-voc, 11, Married-civ-spouse, Other-service, Other-relative, White, Female, 3137, 0, 40, United-States, <=50K -58, Private, 158002, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K -19, Self-emp-not-inc, 305834, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K -37, ?, 122265, HS-grad, 9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 42, ?, <=50K -22, Private, 211798, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 123011, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 36302, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Self-emp-not-inc, 176867, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3781, 0, 40, United-States, <=50K -62, Private, 169204, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 38232, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -64, State-gov, 277657, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -38, Private, 32271, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 116825, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 80, United-States, >50K -28, Self-emp-not-inc, 226198, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 28145, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 52, United-States, <=50K -39, Private, 140477, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -50, Private, 165050, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Self-emp-inc, 202937, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 316298, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 203070, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 49, United-States, <=50K -51, Self-emp-inc, 103995, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -28, Private, 176137, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K -57, Self-emp-not-inc, 103948, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K -40, Local-gov, 39581, Prof-school, 15, Separated, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 506436, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K -32, Private, 226975, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1876, 60, United-States, <=50K -49, State-gov, 154493, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -34, Self-emp-not-inc, 137223, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 102323, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 257765, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -52, Private, 42924, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -43, Private, 167599, 11th, 7, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 25, United-States, <=50K -84, ?, 368925, 5th-6th, 3, Widowed, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -79, ?, 100881, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, >50K -35, Private, 52738, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K -56, Private, 98418, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 381153, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 103700, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 298635, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K -32, Private, 127895, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 212760, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 281384, HS-grad, 9, Married-AF-spouse, Other-service, Other-relative, White, Female, 0, 0, 10, United-States, <=50K -60, Private, 181200, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 257364, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 283281, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 214502, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 69333, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 190060, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 95864, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -71, ?, 144872, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 6514, 0, 40, United-States, >50K -17, ?, 275778, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 25, Mexico, <=50K -45, Private, 27332, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 24395, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K -25, Private, 330695, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Self-emp-not-inc, 171615, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, >50K -28, Private, 116372, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -27, Private, 38599, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Local-gov, 202184, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K -24, Private, 315303, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -38, Private, 103456, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, State-gov, 163480, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 317425, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 7, United-States, <=50K -58, Private, 216941, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 116541, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 44, United-States, >50K -43, Private, 186396, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 273194, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3137, 0, 35, United-States, <=50K -24, Private, 385540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K -63, Private, 201631, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 439919, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -21, Private, 182117, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -20, State-gov, 334113, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 184837, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 7298, 0, 40, United-States, >50K -49, ?, 228372, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K -47, Federal-gov, 211123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 38819, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K -61, Private, 162391, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1651, 40, United-States, <=50K -23, ?, 302836, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -35, State-gov, 89040, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 264210, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 20, United-States, <=50K -18, Private, 87157, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -28, Self-emp-not-inc, 398918, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -62, ?, 123612, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K -20, Private, 155818, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 243660, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 134195, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 238638, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 159929, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 198668, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 215504, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 158002, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 55, Ecuador, <=50K -53, Local-gov, 35305, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 57, United-States, <=50K -25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K -44, State-gov, 321824, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K -22, Private, 180449, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 28, United-States, <=50K -40, Private, 201764, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 250038, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -30, Self-emp-not-inc, 226535, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -51, Private, 136121, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -17, Private, 47199, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 24, United-States, <=50K -46, Local-gov, 215895, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -50, State-gov, 24647, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 734193, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -42, ?, 321086, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Federal-gov, 192589, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 326283, Bachelors, 13, Never-married, Other-service, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K -32, Private, 207284, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 109089, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K -50, Private, 274528, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -77, Private, 142646, 7th-8th, 4, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 23, United-States, <=50K -33, Private, 180859, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 188610, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -64, Private, 169604, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 260560, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Local-gov, 188245, HS-grad, 9, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -67, Local-gov, 103315, Masters, 14, Never-married, Exec-managerial, Other-relative, White, Female, 15831, 0, 72, United-States, >50K -37, Local-gov, 52465, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 737315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -22, ?, 195143, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 29, United-States, <=50K -50, Self-emp-not-inc, 219420, Doctorate, 16, Divorced, Sales, Not-in-family, White, Male, 0, 0, 64, United-States, <=50K -60, Private, 198170, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -46, Local-gov, 183168, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -44, Private, 196545, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -43, Private, 168412, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 44, Poland, <=50K -48, Private, 174386, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, El-Salvador, >50K -36, Private, 544686, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 2907, 0, 40, Nicaragua, <=50K -48, Private, 95661, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -37, Private, 468713, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 169112, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 74024, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 110622, 5th-6th, 3, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, Vietnam, <=50K -43, Local-gov, 33331, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 181557, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -66, Private, 142624, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5556, 0, 40, Yugoslavia, >50K -37, Self-emp-not-inc, 192251, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 2635, 0, 40, United-States, <=50K -35, Private, 146091, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 174575, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K -49, Private, 200949, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 38, Peru, <=50K -51, Local-gov, 201560, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -71, Federal-gov, 149386, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 9, United-States, <=50K -50, Local-gov, 168672, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 40, United-States, >50K -63, Private, 38352, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, State-gov, 180272, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K -24, State-gov, 275421, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Local-gov, 173051, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -33, Local-gov, 167474, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 267138, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 135138, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -49, Private, 218357, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -28, Self-emp-not-inc, 107236, 12th, 8, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 138416, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, Mexico, <=50K -28, Private, 154863, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -37, Private, 194004, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -19, Private, 339123, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 548361, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 26, United-States, <=50K -25, Private, 101812, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 41, United-States, <=50K -49, Self-emp-inc, 127111, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 171807, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -48, Local-gov, 40666, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 340682, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 175052, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, ?, 321629, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -46, Private, 154405, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -17, Private, 108402, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 346275, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -44, Private, 42476, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 161708, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 70447, Some-college, 10, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Male, 4650, 0, 20, United-States, <=50K -30, Private, 189759, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K -65, ?, 137354, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -34, Private, 250724, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, Jamaica, <=50K -34, Federal-gov, 149368, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 154641, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 38309, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 40, United-States, <=50K -53, Local-gov, 202733, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K -34, Private, 56150, 11th, 7, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 260254, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 108083, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -54, Self-emp-not-inc, 71344, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -32, Private, 174215, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, State-gov, 114366, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -39, Private, 158962, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 179498, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Germany, <=50K -29, Private, 31935, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 149909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K -20, ?, 58740, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K -39, Private, 216552, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 255348, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 176050, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, ?, 125101, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, ?, 197286, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 337469, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 594, 0, 20, Mexico, <=50K -31, Private, 159737, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 58, United-States, <=50K -39, Private, 316211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 127610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 32, United-States, >50K -45, Local-gov, 556652, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, Private, 265576, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 347653, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -32, Private, 62374, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 170230, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -34, Private, 203051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 27, United-States, <=50K -66, Self-emp-inc, 115880, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 167735, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -46, Self-emp-inc, 181413, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 185554, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 350387, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -63, Private, 225102, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K -55, Private, 105582, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3103, 0, 40, United-States, >50K -35, Self-emp-not-inc, 350247, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 150025, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, ?, >50K -37, Private, 107737, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -63, ?, 334741, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 115562, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -30, Self-emp-not-inc, 131584, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K -36, Local-gov, 95855, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K -54, Private, 391016, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Federal-gov, 51089, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -78, Self-emp-inc, 188044, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 40, United-States, >50K -77, Private, 117898, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 70240, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -39, Self-emp-not-inc, 187693, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K -37, Private, 341672, Bachelors, 13, Separated, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -34, Private, 208043, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K -22, Local-gov, 289982, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, <=50K -54, Private, 76344, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -21, Private, 200973, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -36, Private, 111377, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 136684, HS-grad, 9, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -40, Private, 176716, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Self-emp-not-inc, 166894, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 243872, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -28, Private, 155621, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K -46, Private, 102597, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 60331, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 75024, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, Canada, <=50K -69, Private, 174474, 10th, 6, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 28, Peru, <=50K -43, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Private, 83434, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 21, Japan, >50K -20, Private, 691830, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -22, Private, 189203, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 115784, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -40, Federal-gov, 280167, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -68, ?, 407338, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 52978, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 1721, 55, United-States, <=50K -57, Private, 169329, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 1887, 40, Trinadad&Tobago, >50K -23, Private, 315065, 10th, 6, Never-married, Other-service, Unmarried, White, Male, 0, 0, 60, Mexico, <=50K -25, Local-gov, 167835, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, >50K -22, Private, 63105, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 520775, 12th, 8, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K -41, Local-gov, 47902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 145434, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -58, Private, 56392, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 162312, HS-grad, 9, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Japan, <=50K -28, Private, 204074, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K -19, Private, 99246, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 102085, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -68, Private, 168794, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -33, State-gov, 332379, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 233419, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 57233, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 192337, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -31, Private, 442429, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -29, Private, 369114, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 261334, 9th, 5, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 160303, HS-grad, 9, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 50474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 321577, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 29591, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -33, Self-emp-not-inc, 334744, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Self-emp-not-inc, 269474, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 287306, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -66, Private, 33619, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 4, United-States, <=50K -38, Private, 149347, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -43, Private, 96249, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K -40, Local-gov, 370502, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -32, Private, 188246, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 167558, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, Mexico, <=50K -35, Private, 292185, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 101593, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -33, Local-gov, 70164, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -36, Private, 269722, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -33, Self-emp-not-inc, 175502, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -53, Private, 233165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -27, Private, 177351, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 212114, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 288959, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 36, United-States, <=50K -64, Private, 231619, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 21, United-States, <=50K -48, Private, 146919, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -23, Private, 388811, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 243560, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, ?, <=50K -35, Self-emp-not-inc, 98360, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 369538, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Self-emp-not-inc, 31740, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -53, Private, 223660, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K -18, Private, 333611, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 54, Mexico, <=50K -34, Self-emp-not-inc, 108247, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -28, Private, 76129, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Guatemala, <=50K -37, Private, 91711, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -61, ?, 166855, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -59, Private, 182062, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K -32, Private, 252752, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 13550, 0, 60, United-States, >50K -31, Private, 43953, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K -25, Local-gov, 84224, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -81, Private, 100675, 1st-4th, 2, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, Poland, <=50K -47, Private, 155509, HS-grad, 9, Separated, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -39, Private, 29814, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 241805, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 30, United-States, <=50K -44, Private, 214838, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -37, Private, 240810, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 154076, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -27, ?, 175552, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K -55, Private, 170287, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Poland, >50K -60, Private, 145995, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 433669, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 36, ?, <=50K -23, Private, 233626, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -19, Private, 607799, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -45, Private, 88500, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K -36, Private, 127809, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -46, Private, 243743, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 177211, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 231180, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 253856, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 177075, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 152855, HS-grad, 9, Never-married, Exec-managerial, Own-child, Other, Female, 0, 0, 40, Mexico, <=50K -37, Private, 191137, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 25, United-States, <=50K -49, Private, 255559, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -27, Private, 169815, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 221215, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -35, Private, 270059, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -54, ?, 31588, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2635, 0, 40, United-States, <=50K -17, Private, 345403, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 194897, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -33, Private, 388741, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Female, 0, 0, 38, United-States, <=50K -33, Private, 355856, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K -51, Private, 122109, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -49, Private, 75673, HS-grad, 9, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 141058, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2339, 50, United-States, <=50K -41, Private, 47902, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K -64, Private, 221343, 1st-4th, 2, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -40, Private, 255675, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Federal-gov, 203505, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 125106, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 139890, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 76878, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -47, Self-emp-not-inc, 28035, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 86, United-States, <=50K -30, Private, 43953, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 1974, 40, United-States, <=50K -36, Private, 163237, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Local-gov, 55890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 255934, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K -61, Private, 168654, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -47, Self-emp-not-inc, 39986, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 208451, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 206681, 12th, 8, Never-married, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -33, Private, 117779, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 46, United-States, >50K -36, Self-emp-not-inc, 129150, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -38, ?, 177273, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, <=50K -34, Local-gov, 226443, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 146326, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 187901, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K -26, Private, 97153, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K -49, Private, 188694, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -71, Private, 187493, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 212468, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -20, Private, 84726, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 137907, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -51, Private, 34361, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, >50K -38, Private, 254114, Some-college, 10, Married-spouse-absent, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 170174, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Self-emp-not-inc, 190895, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -24, Local-gov, 317443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 375603, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 203076, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -49, Private, 53893, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 171748, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 24, United-States, <=50K -54, Private, 167770, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K -52, Private, 204584, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -27, Private, 660870, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -20, Private, 105686, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, ?, 70282, Masters, 14, Married-civ-spouse, ?, Wife, Black, Female, 15024, 0, 2, United-States, >50K -31, Private, 148607, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 255849, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Federal-gov, 255921, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, England, <=50K -33, Private, 113326, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 440456, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 105493, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 259757, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 653, 50, United-States, >50K -37, Local-gov, 89491, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 171818, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 51151, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 188957, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 97933, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 195447, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -63, ?, 46907, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, >50K -54, Self-emp-inc, 383365, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -32, Self-emp-not-inc, 203408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -29, Local-gov, 148182, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -26, Local-gov, 211497, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 48063, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -57, Private, 211804, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K -54, Private, 185407, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 225927, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Federal-gov, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 208577, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -42, Private, 222884, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -31, Private, 209538, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 177114, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -50, Private, 173754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 121370, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -37, Private, 67125, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 67240, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 198346, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 141003, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K -24, Self-emp-inc, 60668, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 104256, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -47, Private, 131002, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Self-emp-not-inc, 155151, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K -26, Private, 177720, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -20, Private, 39615, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 203871, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 40, United-States, >50K -57, State-gov, 25045, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 2174, 0, 37, United-States, <=50K -36, Private, 112264, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 169100, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 155659, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Germany, >50K -39, Private, 291665, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4508, 0, 24, United-States, <=50K -29, Private, 224215, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 270502, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K -46, Private, 125487, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 51385, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 112763, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 108926, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 366957, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 99999, 0, 50, India, >50K -36, Local-gov, 109766, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -38, Private, 226106, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -75, Self-emp-not-inc, 92792, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -26, Private, 186950, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Private, 230478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 231638, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 120461, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 33673, 12th, 8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K -34, Private, 191385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -31, Self-emp-not-inc, 229946, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Columbia, <=50K -47, Self-emp-not-inc, 160131, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 190895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -18, Private, 126021, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 20, United-States, <=50K -47, Private, 27815, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 1719, 30, United-States, <=50K -42, Private, 203542, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 144592, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 223004, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K -22, Private, 183257, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -32, Private, 172714, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 131611, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 48, United-States, <=50K -41, Private, 253060, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 471990, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 46, United-States, >50K -44, Private, 138966, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K -35, Private, 385412, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, ?, 184101, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -60, Private, 103344, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K -36, Local-gov, 135786, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -30, Private, 227359, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, State-gov, 86912, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -21, Private, 83033, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2176, 0, 20, United-States, <=50K -25, Private, 172581, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, State-gov, 274111, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1669, 40, United-States, <=50K -42, Private, 187795, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K -26, Private, 483822, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Guatemala, <=50K -66, Self-emp-inc, 220543, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -48, Private, 152953, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, Dominican-Republic, <=50K -35, Private, 239755, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 177905, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 200136, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -55, Self-emp-not-inc, 111625, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 336513, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 60, United-States, >50K -45, Private, 162915, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 116662, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 24763, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -65, Private, 225580, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 169104, Assoc-acdm, 12, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -43, Private, 212894, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 93997, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K -22, Private, 189924, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 274424, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 188246, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 284211, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 198259, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -31, Private, 368517, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -34, Private, 168768, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -33, Federal-gov, 122220, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K -32, Private, 136204, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 0, 2824, 55, United-States, >50K -44, Private, 175641, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -21, State-gov, 173324, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -75, Local-gov, 31195, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -55, Federal-gov, 88876, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, >50K -43, Self-emp-not-inc, 176069, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 16, United-States, <=50K -31, Private, 215297, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 198425, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -26, Local-gov, 180957, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 206129, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -42, Federal-gov, 65950, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 197618, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 185357, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 134890, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -64, ?, 193043, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Federal-gov, 153633, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -65, Private, 115890, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -34, Private, 394447, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 2463, 0, 50, France, <=50K -58, Private, 343957, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -63, ?, 247986, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K -50, Private, 238959, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, ?, >50K -59, Private, 159048, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 423222, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -30, Private, 89735, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 31778, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, ?, 157327, 5th-6th, 3, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 8, United-States, <=50K -47, Private, 233511, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K -30, Private, 327112, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K -34, Private, 236543, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, State-gov, 194475, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 303510, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 171242, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Self-emp-not-inc, 39388, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -62, Local-gov, 197218, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -22, State-gov, 151991, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 20, United-States, <=50K -38, Private, 374524, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -34, ?, 267352, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -45, Local-gov, 364563, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 186035, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -21, Private, 47541, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 151107, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 500509, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 138107, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2258, 40, United-States, >50K -20, Federal-gov, 225515, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K -27, Private, 153291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -40, Private, 169885, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, ?, 112780, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -31, Local-gov, 175778, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 55213, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1977, 52, United-States, >50K -48, Private, 38950, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -64, Self-emp-not-inc, 65991, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 45, United-States, >50K -39, Private, 174330, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 35224, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 175622, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 164678, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, <=50K -50, ?, 87263, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K -54, Private, 163671, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 65, United-States, >50K -17, Self-emp-not-inc, 181317, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K -33, Federal-gov, 177945, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 47168, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 190023, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 168782, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 175290, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 32, United-States, <=50K -74, Private, 145463, 1st-4th, 2, Widowed, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K -54, Private, 159755, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 113364, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K -31, Private, 487742, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 304710, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -54, Local-gov, 185846, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -42, Private, 212894, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 315460, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, <=50K -49, Private, 135643, HS-grad, 9, Widowed, Craft-repair, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -40, Private, 220977, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, India, >50K -19, ?, 117444, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 202683, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 164866, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K -43, Private, 191814, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -32, ?, 227160, Some-college, 10, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 158077, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 191103, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, >50K -25, Private, 193701, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -40, Private, 143046, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -34, Private, 206297, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -35, Self-emp-not-inc, 188563, HS-grad, 9, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -53, Private, 35102, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -21, Private, 203055, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 309932, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 243432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 177107, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -64, Self-emp-not-inc, 113929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -19, ?, 291509, 12th, 8, Never-married, ?, Own-child, White, Male, 0, 0, 28, United-States, <=50K -40, Private, 222011, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K -34, Private, 186824, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 70, United-States, <=50K -46, Private, 192768, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 234962, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -32, Private, 83253, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 248990, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 346159, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 272656, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, >50K -22, Private, 60552, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, State-gov, 33798, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -38, Self-emp-not-inc, 112158, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K -55, Private, 200992, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -26, Private, 98155, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 79586, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 60, United-States, <=50K -25, State-gov, 143062, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 101146, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K -18, ?, 284450, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -58, State-gov, 159021, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 353270, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 162312, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 45, South, <=50K -49, State-gov, 231961, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, >50K -38, Private, 181943, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 163595, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 130856, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 208875, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, El-Salvador, >50K -29, Self-emp-not-inc, 58744, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K -48, Private, 116641, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -40, Private, 69333, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 320811, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 197886, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -57, Self-emp-not-inc, 253914, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, Mexico, <=50K -24, Private, 89154, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K -32, Private, 372317, 9th, 5, Separated, Other-service, Unmarried, White, Female, 0, 0, 23, Mexico, <=50K -18, Self-emp-not-inc, 296090, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 48, ?, <=50K -39, Private, 192614, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 56, United-States, <=50K -39, Private, 403489, 11th, 7, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 169652, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -20, Private, 217467, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, ?, 162104, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 175912, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 179533, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 75, United-States, >50K -27, Private, 149624, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 289147, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 347720, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 406978, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 193199, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 12, Poland, <=50K -37, Self-emp-inc, 163998, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 173115, 10th, 6, Separated, Exec-managerial, Not-in-family, Black, Male, 4416, 0, 99, United-States, <=50K -33, Private, 333701, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 48121, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 1602, 10, United-States, <=50K -45, Private, 186256, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 104525, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 104097, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 60, United-States, <=50K -71, Private, 212806, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K -23, Local-gov, 203353, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K -41, Private, 130126, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K -21, ?, 270043, 10th, 6, Never-married, ?, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -47, Private, 218435, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 20, Cuba, <=50K -30, Private, 154120, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -40, Private, 193537, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K -44, Private, 84535, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -50, Private, 150999, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -31, State-gov, 157673, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 217424, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 24, United-States, <=50K -45, Private, 358886, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2407, 0, 50, United-States, <=50K -38, Private, 186191, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -78, Self-emp-inc, 212660, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K -31, Self-emp-inc, 31740, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Private, 498785, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 35945, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 45, United-States, >50K -46, Local-gov, 162566, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, Canada, <=50K -30, Private, 118861, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -34, Private, 206609, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -30, Federal-gov, 423064, HS-grad, 9, Separated, Adm-clerical, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K -47, Private, 191957, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -40, Private, 223934, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 17, United-States, >50K -62, ?, 129246, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 195486, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 70, Jamaica, <=50K -40, Private, 114580, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Female, 0, 0, 40, Vietnam, <=50K -20, Private, 119215, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 240554, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 199067, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 42, United-States, >50K -51, Private, 144084, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 358682, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 59612, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -49, State-gov, 391585, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -30, Local-gov, 101345, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 26, United-States, <=50K -20, Private, 117618, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 231238, 9th, 5, Separated, Farming-fishing, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 143046, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 326857, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 65, United-States, >50K -43, Private, 203642, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -62, Private, 88579, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -21, Private, 240517, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 70, United-States, <=50K -58, Local-gov, 156649, 1st-4th, 2, Widowed, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 143392, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 365465, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 70, Philippines, <=50K -22, State-gov, 264710, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -64, State-gov, 223830, 9th, 5, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -42, Private, 154374, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -43, State-gov, 242521, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 124569, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 209230, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K -21, Private, 162228, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Federal-gov, 60267, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 76901, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -24, Private, 137876, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -70, Self-emp-not-inc, 347910, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -27, Local-gov, 138917, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 532379, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 31532, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 30973, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 117295, 1st-4th, 2, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Private, 295282, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -42, Private, 190786, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 246207, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -50, Private, 130780, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 186212, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 175526, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 207025, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 6849, 0, 38, United-States, <=50K -39, Federal-gov, 82622, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 199688, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, ?, >50K -38, State-gov, 318886, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 52, United-States, <=50K -18, Private, 256005, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 217715, 5th-6th, 3, Never-married, Sales, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K -50, Private, 205803, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -82, Self-emp-not-inc, 240491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K -33, Private, 154120, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 69251, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -24, Private, 333505, HS-grad, 9, Married-spouse-absent, Transport-moving, Own-child, White, Male, 0, 0, 40, Peru, <=50K -31, Private, 168521, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -59, Private, 193568, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 426895, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K -47, Self-emp-not-inc, 131826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 79646, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 167031, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Other, Female, 0, 0, 33, United-States, <=50K -34, Private, 73199, 11th, 7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -50, Private, 114056, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 84, United-States, <=50K -57, Self-emp-not-inc, 110417, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, <=50K -60, Private, 33266, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 154410, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -56, ?, 154537, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 50, United-States, >50K -18, Private, 27780, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 142914, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 75, United-States, <=50K -37, Private, 190987, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 7298, 0, 40, United-States, >50K -20, Private, 314422, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -29, Local-gov, 273771, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 175083, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -21, Private, 63665, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -24, Local-gov, 193416, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 74275, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 122609, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 225456, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -36, Local-gov, 116892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 196971, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 72, United-States, <=50K -20, Private, 105312, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -46, Private, 108699, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -44, Private, 171615, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 388023, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -39, Private, 181553, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -45, Private, 170850, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, >50K -28, Private, 187479, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -44, Private, 277720, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -48, Local-gov, 493862, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 7298, 0, 38, United-States, >50K -27, Private, 220754, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -34, Self-emp-not-inc, 209768, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 93225, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Federal-gov, 341709, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 236242, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -21, Private, 121889, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -18, Private, 318190, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -63, Self-emp-not-inc, 111306, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -18, Private, 198614, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 8, United-States, <=50K -32, Private, 193231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, ?, 104614, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 172368, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 60331, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -38, Private, 154568, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -36, Private, 192939, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K -43, Private, 138184, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 1762, 35, United-States, <=50K -45, Private, 238567, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, England, >50K -30, Private, 208068, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -46, Private, 181810, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 4064, 0, 40, United-States, <=50K -24, Federal-gov, 283918, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -42, Private, 107276, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2444, 40, United-States, >50K -23, Private, 37783, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 263552, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 255439, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-inc, 344275, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -31, Private, 70568, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Female, 0, 0, 25, El-Salvador, <=50K -18, Private, 127827, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -36, Private, 185203, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 123436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -51, Self-emp-not-inc, 136322, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1579, 40, United-States, <=50K -22, Private, 187052, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -72, Private, 177769, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K -61, Private, 68268, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -42, Private, 424855, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3908, 0, 40, United-States, <=50K -37, Federal-gov, 81853, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K -30, Self-emp-inc, 153549, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 271393, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 198148, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 469602, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K -36, Private, 163290, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 295949, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 125279, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -64, Local-gov, 182866, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 111563, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, >50K -38, Private, 34173, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -27, Private, 183627, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -24, Private, 197757, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -39, Private, 98941, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -44, Private, 205474, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 206659, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -73, ?, 191394, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 244661, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -53, Private, 47396, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -43, State-gov, 270721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -57, State-gov, 32694, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 171256, Assoc-acdm, 12, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 45, United-States, <=50K -59, Private, 169982, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 50, United-States, <=50K -52, Self-emp-not-inc, 217210, HS-grad, 9, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 218329, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 386643, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Federal-gov, 125933, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 155767, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Federal-gov, 432555, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1628, 40, United-States, <=50K -30, Private, 54929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -59, Private, 162136, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -22, Private, 256504, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 162098, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -39, Self-emp-not-inc, 103110, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 227610, 10th, 6, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 58, United-States, <=50K -63, Private, 176696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 220019, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 242984, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 187847, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 132636, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -20, Private, 108887, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -42, Self-emp-not-inc, 195897, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 112181, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 12, United-States, >50K -56, Local-gov, 391926, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 195505, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 5, United-States, <=50K -31, Private, 43819, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 43, United-States, >50K -23, Private, 145389, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -33, ?, 186824, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 101833, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 82283, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -52, Private, 99602, HS-grad, 9, Separated, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 213276, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -59, Private, 424468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -30, Private, 176123, 10th, 6, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -32, Private, 38797, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 101859, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -53, Private, 87158, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 205066, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K -26, Private, 56929, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, ?, <=50K -34, Private, 25322, Bachelors, 13, Married-spouse-absent, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 2339, 40, ?, <=50K -31, Private, 87950, Assoc-voc, 11, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -34, Private, 150154, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 142076, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 4787, 0, 39, United-States, >50K -30, State-gov, 112139, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 149217, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -27, Private, 189974, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 109199, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -24, Private, 190290, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 189404, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 35, United-States, >50K -33, Federal-gov, 428271, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -22, State-gov, 134192, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K -47, Private, 168211, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -34, Private, 277314, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Black, Male, 0, 1902, 50, United-States, >50K -44, Federal-gov, 316120, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K -41, Private, 107276, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -45, ?, 112453, HS-grad, 9, Separated, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 4, United-States, <=50K -24, Private, 346909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, Mexico, <=50K -65, ?, 105017, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 317360, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 189017, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -54, Private, 138179, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 299813, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 37, Dominican-Republic, <=50K -45, Private, 265083, 5th-6th, 3, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 35, Mexico, <=50K -50, Private, 185846, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 184655, Assoc-acdm, 12, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -24, Private, 200295, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 117319, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K -50, Private, 63000, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -58, Self-emp-not-inc, 106942, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 52795, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K -37, Private, 51264, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, France, >50K -37, Self-emp-not-inc, 410919, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -22, Private, 105592, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -29, Self-emp-not-inc, 183151, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -45, Private, 209912, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -49, Self-emp-not-inc, 275845, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Local-gov, 241851, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 4386, 0, 40, United-States, >50K -72, Private, 89299, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -63, Self-emp-not-inc, 106648, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 12, United-States, <=50K -26, Private, 58426, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, Self-emp-not-inc, 121912, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K -40, Private, 170730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 257555, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 51499, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K -28, Private, 195000, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 45, United-States, <=50K -57, Private, 108741, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 184964, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -44, Private, 156815, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 49325, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 121718, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Germany, <=50K -18, Private, 172076, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -57, Self-emp-not-inc, 327901, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 215990, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -38, Private, 210866, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K -33, Private, 322873, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -42, Private, 265698, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -70, ?, 26990, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K -50, Private, 177896, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 189107, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 306830, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K -72, Federal-gov, 39110, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, Canada, <=50K -33, Private, 155475, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 135803, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K -48, Private, 117849, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -64, Self-emp-not-inc, 339321, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K -19, Private, 318822, 11th, 7, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -48, Private, 174794, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 204277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 48, United-States, >50K -55, Private, 182460, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 35, United-States, >50K -24, Private, 193920, Masters, 14, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, ?, <=50K -42, Federal-gov, 91468, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 106760, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, Canada, >50K -34, Private, 375680, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-inc, 222615, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 190968, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 76767, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -50, Self-emp-not-inc, 203098, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -47, Local-gov, 162187, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K -25, Private, 242729, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 253784, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 206051, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 181553, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -73, Self-emp-inc, 80986, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K -50, Private, 200783, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 42596, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 464502, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -66, Private, 205724, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, >50K -22, Private, 446140, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K -69, Local-gov, 32287, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, <=50K -23, Private, 56774, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 308118, Bachelors, 13, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, ?, <=50K -35, Private, 176279, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 103277, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -70, Self-emp-inc, 225780, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K -54, Private, 154728, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K -34, Private, 149943, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K -38, State-gov, 22245, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 93056, 7th-8th, 4, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 270522, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 26, United-States, <=50K -60, Self-emp-inc, 123218, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -81, Self-emp-not-inc, 123959, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 1668, 3, Hungary, <=50K -32, Self-emp-not-inc, 103642, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -34, Private, 157747, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Self-emp-not-inc, 154083, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -30, State-gov, 23037, Some-college, 10, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 84, United-States, <=50K -23, ?, 226891, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K -29, Private, 50028, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 138251, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 369825, 7th-8th, 4, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -36, Federal-gov, 44364, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 36, United-States, <=50K -23, Private, 230704, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 22, United-States, <=50K -35, Private, 42044, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K -28, Local-gov, 56340, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, State-gov, 156015, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 163434, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 85251, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Self-emp-inc, 187411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 155124, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K -25, Private, 396633, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 56, United-States, >50K -45, Private, 182313, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -38, Private, 52596, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -66, ?, 260111, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Local-gov, 143570, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 160634, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K -54, Private, 29909, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 43, United-States, <=50K -49, Private, 94215, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 151990, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, United-States, >50K -48, Federal-gov, 188081, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 218445, 5th-6th, 3, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 12, Mexico, <=50K -77, Private, 235775, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Cuba, <=50K -19, Private, 98605, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 188398, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -41, Self-emp-inc, 140365, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K -35, Private, 202950, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Iran, >50K -20, Private, 218215, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-inc, 197816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 40, United-States, >50K -49, Private, 147002, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K -52, Private, 138497, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 57711, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K -50, Private, 169925, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K -22, Private, 72310, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -19, Private, 170800, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 215095, 11th, 7, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 30, Puerto-Rico, <=50K -45, Private, 480717, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 38, ?, <=50K -61, Local-gov, 34632, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -45, Private, 140664, Assoc-acdm, 12, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -36, Local-gov, 177858, Bachelors, 13, Married-civ-spouse, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 160369, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 45, United-States, >50K -38, Private, 129102, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -52, Local-gov, 278522, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Federal-gov, 124953, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K -33, Private, 63184, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 165815, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 248584, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -46, Local-gov, 226871, Bachelors, 13, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K -44, Private, 267717, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K -19, Private, 60367, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 13, United-States, <=50K -44, Private, 134120, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -40, Private, 95639, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -20, Private, 132053, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K -24, Private, 138768, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -76, Private, 203910, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K -20, Private, 109952, HS-grad, 9, Married-civ-spouse, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 155781, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -31, Private, 49398, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 159303, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 248339, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 190539, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 50, United-States, <=50K -30, Private, 183620, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -48, Private, 25468, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K -42, Private, 201495, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 52221, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-inc, 96460, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K -42, Private, 325353, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 42, United-States, >50K -28, Self-emp-not-inc, 176027, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -42, Local-gov, 266135, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K -60, State-gov, 194252, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 3103, 0, 40, United-States, >50K -76, ?, 164835, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 363192, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 31360, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 63503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 157614, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 38, United-States, <=50K -45, Private, 160647, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 4687, 0, 35, United-States, >50K -38, Private, 363395, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 338376, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 87523, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 280714, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 119565, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 171482, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K -40, Self-emp-inc, 49249, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 331552, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -45, Private, 174426, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 184105, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K -29, Private, 37933, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 291529, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 13, United-States, >50K -23, Private, 376416, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 263612, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, Haiti, <=50K -23, Private, 227471, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K -39, Private, 191103, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 35644, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Self-emp-not-inc, 227298, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -25, State-gov, 187508, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 184378, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Puerto-Rico, <=50K -52, Self-emp-not-inc, 190333, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -48, Private, 155372, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -37, Private, 259882, Assoc-voc, 11, Never-married, Sales, Unmarried, Black, Female, 0, 0, 6, United-States, <=50K -36, Private, 217077, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 103596, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 188236, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -24, Private, 353010, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -42, Local-gov, 70655, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-inc, 64874, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 219240, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 22, United-States, <=50K -50, Self-emp-inc, 104849, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -40, Private, 173590, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 412316, HS-grad, 9, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, ?, <=50K -57, Self-emp-inc, 195835, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 170579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Federal-gov, 230545, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K -71, Private, 162297, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -47, Private, 169549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 117528, Bachelors, 13, Never-married, Other-service, Other-relative, White, Female, 0, 0, 45, United-States, <=50K -25, Private, 273876, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -33, Private, 529104, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, State-gov, 456110, 11th, 7, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 52, United-States, <=50K -39, ?, 180868, 11th, 7, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 170301, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 2829, 0, 40, United-States, <=50K -33, Private, 55717, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 166181, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 36, United-States, <=50K -24, Private, 52242, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -28, Private, 224629, Masters, 14, Never-married, Exec-managerial, Not-in-family, Other, Male, 0, 0, 30, Cuba, <=50K -20, Private, 197997, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 46144, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 180871, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K -25, Private, 212311, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 232874, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 175999, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 177121, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K -57, Private, 299358, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 1719, 25, United-States, <=50K -20, ?, 326624, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 129836, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 10, United-States, <=50K -24, Private, 225515, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 145664, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -37, Private, 151764, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 183523, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 257869, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 28, Columbia, <=50K -40, Private, 73025, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, China, <=50K -18, Private, 165532, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -51, Federal-gov, 140035, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 325159, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -64, Federal-gov, 161926, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 8, United-States, <=50K -24, Private, 163665, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K -33, Private, 106938, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, Black, Female, 0, 0, 38, United-States, <=50K -31, Private, 97453, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 242464, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3103, 0, 40, United-States, >50K -54, Private, 155233, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K -31, Private, 248653, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 37, Mexico, <=50K -39, Private, 59313, 12th, 8, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K -22, Private, 141297, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 227325, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 123653, 5th-6th, 3, Separated, Other-service, Not-in-family, White, Male, 0, 0, 12, Italy, <=50K -59, Federal-gov, 176317, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -35, Self-emp-not-inc, 77146, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 45, United-States, <=50K -25, Private, 169124, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 179413, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 180137, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -17, State-gov, 179319, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 45766, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 152810, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K -59, Private, 214052, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 201141, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K -74, Self-emp-not-inc, 43599, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 292536, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 82161, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 180656, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -20, Private, 181370, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -80, Private, 148623, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -51, Private, 84399, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -17, Private, 143331, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -37, Federal-gov, 48779, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 175495, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 24, United-States, <=50K -58, Private, 83542, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 214619, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 160035, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Federal-gov, 39603, Some-college, 10, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -36, Private, 181589, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, Columbia, <=50K -33, Private, 261511, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 29522, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 36340, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -41, Private, 320984, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K -57, ?, 403625, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 60, United-States, >50K -23, Private, 122346, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 105794, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 50, United-States, >50K -53, Private, 152883, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -31, State-gov, 123037, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K -41, ?, 339682, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K -36, Private, 182074, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 248588, 12th, 8, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 187584, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Canada, <=50K -36, Private, 46706, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 190290, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Self-emp-not-inc, 247294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Peru, <=50K -22, Private, 117779, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 121602, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 451744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 107793, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 2174, 0, 40, United-States, <=50K -35, Private, 339772, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 185582, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 43, United-States, <=50K -26, Private, 260614, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Local-gov, 53220, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 213844, HS-grad, 9, Married-AF-spouse, Craft-repair, Wife, Black, Female, 0, 0, 42, United-States, >50K -33, Private, 213226, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 58582, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 10, United-States, <=50K -52, Private, 193116, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Local-gov, 201410, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 190525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K -57, Self-emp-not-inc, 138285, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Iran, <=50K -51, Private, 111939, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 109277, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -32, Private, 331539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, >50K -32, Private, 396745, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 48, United-States, >50K -37, Private, 126675, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -69, Self-emp-not-inc, 349022, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 33, United-States, <=50K -33, ?, 98145, Some-college, 10, Divorced, ?, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -37, Private, 234901, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K -36, Private, 100681, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 2463, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 265097, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -63, Private, 237379, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 44793, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -17, Private, 270942, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K -56, Private, 193622, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -90, Local-gov, 187749, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K -27, Private, 160178, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -38, Private, 680390, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -33, Private, 96245, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 34803, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 170091, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -42, Private, 231813, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 23789, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, State-gov, 438711, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K -66, Private, 169804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K -66, Local-gov, 376506, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K -49, Private, 28791, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 162814, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -38, Private, 58108, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Self-emp-inc, 102226, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Federal-gov, 209131, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -46, Self-emp-not-inc, 157117, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 172865, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 29798, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K -71, ?, 229424, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Local-gov, 80680, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1151, 0, 35, United-States, <=50K -52, Local-gov, 238959, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 32, United-States, >50K -27, Private, 189462, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -52, Private, 139347, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 188108, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 4101, 0, 40, United-States, <=50K -37, Self-emp-inc, 111128, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 81540, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 257562, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 59496, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 29974, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 102597, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -69, Private, 41419, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -50, Private, 118565, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -54, State-gov, 312897, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, England, >50K -17, Private, 166290, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 160261, HS-grad, 9, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Male, 14084, 0, 35, China, >50K -32, Self-emp-not-inc, 116834, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 5, ?, <=50K -23, Private, 203076, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 201197, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -61, Private, 273803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 156797, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 283896, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 149368, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 1151, 0, 30, United-States, <=50K -49, Private, 156926, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -21, ?, 163911, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K -56, Self-emp-inc, 165881, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 86872, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 167523, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 154950, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Federal-gov, 171231, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -62, Private, 244933, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -54, Private, 256908, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, >50K -34, Self-emp-not-inc, 33442, Assoc-voc, 11, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 126142, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K -28, ?, 268222, 11th, 7, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -32, Private, 167106, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K -22, Local-gov, 50065, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -34, State-gov, 252529, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -53, ?, 199665, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K -47, Private, 343579, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -19, Private, 190817, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 151089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 55, United-States, >50K -46, Private, 186820, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 5013, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 210731, 7th-8th, 4, Divorced, Sales, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K -42, Private, 123816, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 77071, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 2339, 35, United-States, <=50K -42, Private, 115085, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 170525, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K -17, Private, 209949, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 1602, 12, United-States, <=50K -57, Self-emp-not-inc, 34297, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 180985, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -62, Local-gov, 33365, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -20, Private, 197752, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 16, United-States, <=50K -47, Private, 180551, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 77975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 159297, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, ?, >50K -48, Private, 94342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Self-emp-inc, 34180, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -46, Local-gov, 367251, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -72, Self-emp-inc, 172407, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -53, Private, 303462, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Federal-gov, 220269, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 45093, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Canada, <=50K -34, Private, 101709, HS-grad, 9, Separated, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -41, Private, 219591, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 76625, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 342599, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -42, Self-emp-inc, 125846, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, ?, <=50K -54, Local-gov, 238257, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -39, Self-emp-inc, 206253, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 172571, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 95165, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -69, Private, 141181, 5th-6th, 3, Married-civ-spouse, Adm-clerical, Husband, White, Male, 1797, 0, 40, United-States, <=50K -24, Private, 267843, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -36, Private, 181382, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K -21, ?, 207782, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -68, ?, 103161, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -20, Private, 132320, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 201138, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -48, Private, 239058, 12th, 8, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -39, Self-emp-inc, 239755, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -21, Private, 176262, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K -22, Private, 264738, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 42, Germany, <=50K -34, Private, 182218, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 318982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -46, Private, 216666, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -47, Private, 274200, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -65, Private, 150095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 192978, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 68021, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, Self-emp-not-inc, 28568, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -20, Private, 115057, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 139568, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 138497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, State-gov, 182460, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 38, China, >50K -22, Private, 253310, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 7, United-States, <=50K -29, Self-emp-inc, 130856, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Self-emp-not-inc, 389765, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Federal-gov, 52781, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -38, Private, 146178, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -22, Private, 231053, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, >50K -21, ?, 145964, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 483450, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K -43, Self-emp-inc, 198316, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 160614, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Self-emp-inc, 325171, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -54, Self-emp-not-inc, 172898, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 50, United-States, >50K -45, Private, 186473, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Local-gov, 286967, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -51, Self-emp-not-inc, 111939, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, >50K -65, Federal-gov, 325089, 10th, 6, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 143582, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K -40, Private, 308027, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -58, Private, 105060, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -53, Federal-gov, 39643, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 58, United-States, <=50K -39, Private, 186191, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 50, United-States, >50K -56, Local-gov, 267763, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 124293, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 36271, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 143459, 9th, 5, Separated, Handlers-cleaners, Own-child, White, Male, 0, 0, 38, United-States, <=50K -36, Private, 186376, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -59, Self-emp-inc, 52822, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 104509, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 184456, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K -26, Private, 192302, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K -22, Private, 156822, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 1762, 25, United-States, <=50K -25, Private, 214413, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 108574, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K -41, Private, 223934, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -45, Private, 200559, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -43, Private, 137722, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 261677, 9th, 5, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 136331, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 329993, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 91819, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 201122, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K -48, Private, 315423, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 103277, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -47, Private, 236805, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -27, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -18, Private, 115443, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -43, Private, 150528, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 43701, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -37, Federal-gov, 419053, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 183594, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 390348, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 36989, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 3908, 0, 70, United-States, <=50K -48, Private, 247895, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -75, Private, 191446, 1st-4th, 2, Married-civ-spouse, Other-service, Other-relative, Black, Female, 0, 0, 16, United-States, <=50K -43, Self-emp-not-inc, 33521, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -64, Private, 46087, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -67, ?, 129188, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 5, United-States, >50K -36, Private, 356824, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 158746, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 153323, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -73, Self-emp-not-inc, 130391, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -46, Private, 173613, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 362883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -43, Private, 182757, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 50397, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -43, Federal-gov, 101709, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -21, Private, 202570, 12th, 8, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 48, ?, <=50K -40, Private, 145649, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -36, Private, 136343, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -64, Self-emp-inc, 142166, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -19, ?, 242001, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 127089, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 38, United-States, >50K -46, Local-gov, 124071, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 65, United-States, >50K -41, Local-gov, 190368, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -29, ?, 19793, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 8, United-States, <=50K -28, Private, 67661, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 62278, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Federal-gov, 295010, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -44, Private, 203897, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K -27, Private, 265314, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 159603, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 34, United-States, <=50K -29, Private, 134331, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 123011, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, >50K -27, Private, 274964, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -34, Private, 66309, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -38, Private, 73471, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, ?, 26671, HS-grad, 9, Never-married, ?, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -56, Private, 357118, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -35, Self-emp-inc, 184655, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 62, United-States, <=50K -23, ?, 55492, Assoc-voc, 11, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K -23, Private, 175266, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 188008, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -42, Private, 87284, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 35, United-States, >50K -46, Private, 330087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -48, Self-emp-inc, 56975, HS-grad, 9, Divorced, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 84, ?, <=50K -27, Private, 150025, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -22, ?, 189203, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Male, 0, 0, 15, United-States, <=50K -49, Self-emp-inc, 330874, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -23, Private, 136824, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 201179, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 324654, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -25, Federal-gov, 366207, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 103860, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 106700, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 27, United-States, <=50K -54, Local-gov, 163557, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -39, Self-emp-inc, 286261, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 123083, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -75, Self-emp-inc, 125197, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 26, United-States, <=50K -28, Self-emp-not-inc, 278073, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 30, United-States, <=50K -50, Private, 133963, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -62, Self-emp-not-inc, 71467, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -40, Private, 76487, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 215245, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -24, Federal-gov, 127185, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 179720, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -40, Private, 88909, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -45, Private, 341995, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 42, United-States, >50K -48, Private, 173938, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 344275, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -23, Private, 150463, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Other, Female, 0, 0, 40, Guatemala, <=50K -43, Local-gov, 209544, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 50, United-States, >50K -42, Local-gov, 201723, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 343476, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, Japan, >50K -52, Self-emp-inc, 77392, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -21, ?, 171156, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -56, Self-emp-not-inc, 357118, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -48, Federal-gov, 167749, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 352882, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 70, South, >50K -25, Private, 51201, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -40, Private, 365986, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, >50K -34, Private, 400416, 11th, 7, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 45, United-States, <=50K -52, Private, 31533, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 106900, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1902, 42, United-States, >50K -36, Local-gov, 192337, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 118712, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 1504, 40, United-States, <=50K -28, Private, 301654, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 145162, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, ?, >50K -20, Private, 88126, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 9, England, <=50K -68, Private, 165017, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Italy, >50K -35, Private, 238342, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 857532, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -64, Private, 134378, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 260797, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 23, United-States, <=50K -25, Private, 138765, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -74, ?, 256674, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -31, Private, 247444, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Columbia, <=50K -51, State-gov, 454063, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -67, Private, 180539, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K -42, Private, 397346, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -29, Private, 107160, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 262024, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 131230, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K -67, Private, 274451, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K -41, State-gov, 365986, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -27, Private, 204515, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -51, Private, 99316, 12th, 8, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -21, ?, 206681, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 268726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K -21, Private, 275395, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 383322, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 126822, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -39, Self-emp-inc, 168355, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -21, Private, 162667, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K -43, Private, 373403, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 274562, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K -28, Private, 249362, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 111567, 9th, 5, Never-married, Sales, Not-in-family, White, Male, 0, 0, 43, United-States, >50K -18, ?, 216508, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 145784, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K -34, State-gov, 209317, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 259505, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 345360, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, England, <=50K -43, Local-gov, 198096, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -40, Self-emp-inc, 33126, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 206354, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -25, Private, 1484705, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 26410, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Self-emp-not-inc, 220901, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -49, Self-emp-inc, 44671, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 38620, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -36, Private, 89040, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 47, United-States, <=50K -32, Private, 370160, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 208946, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 32, United-States, <=50K -21, Private, 131230, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K -25, Private, 60358, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 350853, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -24, Private, 209782, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 351952, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 142081, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Mexico, <=50K -22, Private, 164775, 9th, 5, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Guatemala, <=50K -41, Local-gov, 47858, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 404085, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 218678, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 184655, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 48, United-States, <=50K -36, Private, 321760, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K -45, Local-gov, 185399, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K -38, Local-gov, 409200, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 40077, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Self-emp-not-inc, 31740, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 233722, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 192039, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -17, Private, 222618, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 30, United-States, <=50K -45, State-gov, 213646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -31, Local-gov, 194141, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K -47, State-gov, 80282, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 166350, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -61, Federal-gov, 60641, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K -33, Private, 124827, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 105438, HS-grad, 9, Separated, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 85244, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 120535, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Local-gov, 269604, 5th-6th, 3, Never-married, Other-service, Unmarried, Other, Female, 0, 0, 40, El-Salvador, <=50K -27, Private, 247711, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 380922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -24, Private, 281221, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, <=50K -23, Private, 269687, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 181758, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -61, Federal-gov, 136787, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 107882, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 172579, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 29933, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K -35, Federal-gov, 38905, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -36, Private, 168826, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 424034, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 117509, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 196971, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -64, Private, 69525, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -22, Private, 374116, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 283913, 5th-6th, 3, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 65, England, <=50K -36, State-gov, 147258, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 139903, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -52, Private, 112959, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 264148, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 256211, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 24, Vietnam, <=50K -29, Self-emp-not-inc, 142519, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 281852, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 80, United-States, <=50K -38, Private, 380543, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -50, Self-emp-not-inc, 204402, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, >50K -50, Private, 192203, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 199005, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -17, Self-emp-inc, 61838, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 210095, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -19, Private, 187352, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 32451, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 140569, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 14084, 0, 60, United-States, >50K -39, Private, 87556, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K -18, Private, 79443, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -27, Private, 212622, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 32650, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 219867, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -32, Local-gov, 206609, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 101299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 29437, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -65, Private, 87164, 11th, 7, Widowed, Sales, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -57, Self-emp-inc, 146103, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Private, 169324, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, Haiti, <=50K -46, Private, 138370, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 1651, 40, China, <=50K -27, Private, 29523, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Local-gov, 383745, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1485, 40, United-States, >50K -21, ?, 247075, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -20, ?, 200967, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K -51, ?, 175985, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-inc, 189404, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 40, United-States, <=50K -29, Self-emp-not-inc, 267661, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -30, Local-gov, 182926, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 40, United-States, >50K -65, Private, 243858, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -20, ?, 43587, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -47, Federal-gov, 31339, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 204682, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 2174, 0, 40, Japan, <=50K -17, Private, 73145, 9th, 5, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 16, United-States, <=50K -38, Local-gov, 218184, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -38, Local-gov, 223237, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Self-emp-not-inc, 93319, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 4, United-States, <=50K -24, ?, 212300, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -52, Private, 187356, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 41, United-States, <=50K -46, Self-emp-not-inc, 220832, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 58, United-States, >50K -22, Private, 211361, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -56, Private, 134195, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -37, Self-emp-not-inc, 218249, 11th, 7, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -59, Private, 70720, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -19, Self-emp-not-inc, 342384, 11th, 7, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 2129, 55, United-States, <=50K -31, Private, 237317, 9th, 5, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 45, United-States, <=50K -22, Private, 359759, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K -48, Self-emp-not-inc, 181758, Doctorate, 16, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, >50K -63, Self-emp-inc, 267101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 222221, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K -53, Private, 55139, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -38, Private, 220237, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K -39, Private, 101073, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K -59, Private, 69884, Prof-school, 15, Married-spouse-absent, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 201127, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 164733, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -60, State-gov, 129447, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 32837, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 56, United-States, <=50K -31, Private, 200117, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 219183, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -66, ?, 188842, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -26, Private, 272669, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, South, <=50K -60, Self-emp-inc, 336188, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 80, United-States, >50K -68, ?, 191288, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -32, Private, 176185, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -25, Local-gov, 197728, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -43, Local-gov, 144778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K -26, ?, 133373, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 44, United-States, <=50K -55, Private, 197399, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K -66, Private, 86010, 10th, 6, Widowed, Transport-moving, Not-in-family, White, Female, 0, 0, 11, United-States, <=50K -31, Private, 228873, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 187415, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, <=50K -58, Self-emp-inc, 112945, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K -56, Private, 98361, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -22, Private, 129172, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -46, Local-gov, 316205, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -33, Private, 226629, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -26, State-gov, 180886, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -42, Self-emp-not-inc, 69333, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 213620, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 197397, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Other, Female, 0, 0, 6, Puerto-Rico, <=50K -19, Private, 223648, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, ?, <=50K -27, Private, 179915, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 99, United-States, <=50K -51, Private, 339905, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -42, Private, 112956, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 421837, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, Mexico, >50K -38, Private, 187999, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Private, 77313, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 231948, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 64, United-States, >50K -37, Private, 37109, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 60, Philippines, <=50K -29, Private, 79387, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -53, ?, 133963, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 177937, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, Poland, <=50K -80, Private, 173488, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -61, Private, 183355, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 147989, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 52, United-States, <=50K -20, Private, 289944, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 62278, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -48, Federal-gov, 110457, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 295763, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, United-States, <=50K -71, State-gov, 100063, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 194962, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 6, United-States, <=50K -39, Federal-gov, 227597, HS-grad, 9, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 117606, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -67, Federal-gov, 44774, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 177648, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -38, Private, 172571, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 54, United-States, >50K -38, ?, 203482, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 153931, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 84774, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 157127, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 170786, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 281030, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 203761, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 10520, 0, 40, United-States, >50K -27, Private, 167405, HS-grad, 9, Married-spouse-absent, Farming-fishing, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -40, Local-gov, 188436, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 40, United-States, >50K -43, Private, 388849, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, State-gov, 176998, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K -57, Private, 200316, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 160300, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -22, Private, 236684, Assoc-voc, 11, Never-married, Other-service, Own-child, Black, Female, 0, 0, 36, United-States, <=50K -20, Local-gov, 247794, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 267325, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 3464, 0, 40, United-States, <=50K -39, Private, 279490, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -27, State-gov, 280618, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 248406, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 226494, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 220460, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 108317, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, State-gov, 147256, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K -22, Private, 110371, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 114060, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 91, United-States, <=50K -29, Federal-gov, 31161, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K -44, Private, 105862, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 70, United-States, >50K -32, Private, 402089, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 2, United-States, <=50K -19, ?, 425447, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 137300, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -65, State-gov, 326691, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -24, Private, 275093, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -37, Self-emp-not-inc, 112497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Local-gov, 174491, HS-grad, 9, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 114835, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, United-States, >50K -28, Private, 137898, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 153151, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 4416, 0, 40, United-States, <=50K -32, Private, 134886, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -38, Private, 193815, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 237833, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 101593, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -27, Private, 164924, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 174201, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -47, Local-gov, 36169, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -55, Private, 144071, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Self-emp-not-inc, 180859, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 8, United-States, <=50K -54, Private, 221915, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -40, Private, 26892, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 351084, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 97306, Bachelors, 13, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 185027, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 182539, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -22, Private, 215395, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -37, Private, 186434, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, >50K -41, ?, 217921, 9th, 5, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K -52, Local-gov, 346668, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-inc, 412952, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 167009, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -58, Private, 316000, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Self-emp-not-inc, 216256, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 341835, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -30, Private, 169841, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -26, Self-emp-not-inc, 200681, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K -46, Self-emp-not-inc, 456956, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, Federal-gov, 276075, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -50, Federal-gov, 96657, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -22, Private, 374313, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 110998, Masters, 14, Widowed, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K -30, Private, 53285, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -58, Private, 104613, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -17, ?, 303317, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -72, Private, 298070, Assoc-voc, 11, Separated, Other-service, Unmarried, White, Female, 6723, 0, 25, United-States, <=50K -19, Private, 318822, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 375078, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Mexico, <=50K -20, ?, 232799, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -30, Private, 210851, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 213745, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -51, Private, 204447, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 318934, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 237386, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -44, Private, 182629, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 24, Iran, <=50K -43, Private, 144778, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 117166, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 237630, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 50, United-States, >50K -41, Private, 171550, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 165302, Some-college, 10, Divorced, Adm-clerical, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K -39, State-gov, 42186, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 3464, 0, 20, United-States, <=50K -54, Private, 284952, 10th, 6, Separated, Sales, Unmarried, White, Female, 0, 0, 43, Italy, <=50K -62, Private, 96099, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 198759, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 227886, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K -32, Private, 391874, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 184370, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -84, Local-gov, 135839, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K -46, Private, 194698, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K -67, Local-gov, 342175, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 2009, 0, 40, United-States, <=50K -29, Private, 67218, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 205152, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -23, Private, 434467, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, <=50K -63, ?, 110150, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K -55, ?, 123382, HS-grad, 9, Separated, ?, Not-in-family, Black, Female, 0, 2001, 40, United-States, <=50K -42, State-gov, 404573, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 99462, 11th, 7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -60, Private, 170310, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 199883, 12th, 8, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 70034, 7th-8th, 4, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, Portugal, <=50K -31, Private, 393357, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 48, United-States, <=50K -65, ?, 249043, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 40, United-States, >50K -31, Private, 72630, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K -61, Private, 223133, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -43, State-gov, 345969, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -40, State-gov, 195520, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 49, United-States, <=50K -39, Private, 257942, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 269300, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 27, United-States, <=50K -47, Private, 137354, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -45, Federal-gov, 232997, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, >50K -30, Private, 77266, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Self-emp-not-inc, 164190, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 153536, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 44, United-States, >50K -51, Local-gov, 26832, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 188096, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 72, United-States, >50K -48, Self-emp-inc, 369522, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, >50K -20, Private, 110998, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K -32, Private, 205152, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 40, United-States, >50K -31, ?, 163890, Some-college, 10, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 358631, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -50, Private, 185354, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 336061, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, ?, 47011, Bachelors, 13, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, Private, 149949, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K -30, Private, 59496, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 32950, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 109912, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 32, United-States, >50K -24, Private, 199555, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Male, 0, 0, 5, United-States, <=50K -28, Private, 91299, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K -56, Private, 99359, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1617, 40, United-States, <=50K -38, Private, 242559, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -20, Private, 286391, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 2176, 0, 20, United-States, <=50K -82, Private, 132870, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 4356, 18, United-States, <=50K -52, Federal-gov, 22428, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 239150, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 170563, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -36, Private, 173542, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 286026, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 72887, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male, 3411, 0, 40, United-States, <=50K -49, Local-gov, 163229, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K -40, Local-gov, 165726, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 70055, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 184655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 139906, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 81, United-States, <=50K -32, Local-gov, 198211, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 146540, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -53, Local-gov, 132304, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 190916, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Never-worked, 237272, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 755858, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K -52, Private, 127315, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -42, State-gov, 304302, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -34, Private, 184942, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 267989, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 188377, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 221059, Masters, 14, Married-civ-spouse, Prof-specialty, Other-relative, Other, Female, 7688, 0, 38, United-States, >50K -26, Private, 340787, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 140782, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 38, United-States, >50K -57, Private, 169071, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 28, United-States, <=50K -36, Self-emp-not-inc, 151094, Assoc-voc, 11, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -27, Private, 122922, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 151141, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -30, Private, 136651, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -37, Private, 177285, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 48, United-States, >50K -31, Local-gov, 128016, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 200318, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 250354, 10th, 6, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -58, Private, 191069, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 27856, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K -44, Private, 523484, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -39, Federal-gov, 257175, Bachelors, 13, Divorced, Tech-support, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K -59, Private, 174864, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 45, United-States, >50K -42, Private, 196029, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K -45, Private, 200471, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K -20, Private, 353195, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 222868, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 221791, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, <=50K -56, Private, 197114, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K -48, Private, 160220, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Self-emp-not-inc, 274917, Masters, 14, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -32, Private, 348460, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 112683, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K -48, Private, 345831, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 105370, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -48, Private, 345006, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K -55, Private, 195329, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 2202, 0, 35, Italy, <=50K -40, Local-gov, 108765, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -50, Private, 138022, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 175029, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -19, Private, 189574, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -55, Self-emp-not-inc, 141409, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -36, Self-emp-not-inc, 186035, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K -39, Private, 165235, Bachelors, 13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K -22, Private, 105043, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 230684, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -34, Private, 345705, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1408, 38, United-States, <=50K -33, Private, 248584, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 436861, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K -35, Private, 200153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 398625, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 114043, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 169544, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 343849, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 162572, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K -24, Private, 291578, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 136162, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-inc, 376133, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 15, United-States, >50K -48, Self-emp-inc, 302612, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, Local-gov, 240166, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 193152, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -42, Private, 248094, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 43, United-States, <=50K -44, Private, 119281, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -73, Self-emp-not-inc, 300404, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 6, United-States, >50K -21, Private, 82847, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -32, Self-emp-inc, 161153, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1902, 55, United-States, >50K -43, Federal-gov, 287008, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, United-States, >50K -21, Private, 654141, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K -30, Private, 252646, Some-college, 10, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -54, Private, 171924, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, <=50K -19, Private, 219742, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -55, State-gov, 153788, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K -20, Private, 60639, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 28, United-States, <=50K -53, Private, 96062, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, <=50K -51, Private, 165614, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -33, Private, 159888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 110586, Some-college, 10, Widowed, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 143062, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -17, Self-emp-inc, 413557, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 137658, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -36, Private, 398931, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 311764, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, <=50K -58, Private, 98725, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 140854, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -72, Private, 97304, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 2346, 0, 40, ?, <=50K -26, Federal-gov, 352768, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, ?, 27184, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -72, ?, 237229, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -60, Private, 142494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -27, Private, 210313, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Guatemala, <=50K -38, Private, 194538, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K -37, Self-emp-inc, 26698, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 44, United-States, >50K -28, Private, 211032, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-inc, 107909, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 136077, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 184737, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 1721, 40, United-States, <=50K -28, Private, 214689, Bachelors, 13, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -70, ?, 147558, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K -40, Self-emp-not-inc, 93793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 247025, Assoc-voc, 11, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 284403, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, <=50K -29, Private, 221977, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -25, Federal-gov, 339956, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 161097, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -60, Private, 223696, 1st-4th, 2, Divorced, Craft-repair, Not-in-family, Other, Male, 0, 0, 38, Dominican-Republic, <=50K -31, Private, 234500, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 97005, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 242615, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -36, Private, 174938, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 160120, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -48, Private, 193775, Bachelors, 13, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, >50K -78, Self-emp-not-inc, 59583, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K -72, Private, 157913, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 17, United-States, <=50K -24, Private, 308205, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, ?, 158506, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K -36, Private, 201769, 11th, 7, Never-married, Protective-serv, Not-in-family, Black, Male, 13550, 0, 40, United-States, >50K -48, Private, 330470, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 184078, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 123384, Masters, 14, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 330132, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -47, Private, 274720, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K -50, Private, 129673, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -35, Federal-gov, 205584, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -17, Private, 327127, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 225892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -37, Private, 224886, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 42, United-States, <=50K -35, Local-gov, 27763, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -56, Private, 73684, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K -23, Private, 107452, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 23871, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -79, Self-emp-inc, 309272, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 469864, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -55, Private, 286230, 11th, 7, Divorced, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -59, State-gov, 186308, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 113062, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 86150, 11th, 7, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 19, Philippines, <=50K -41, Private, 262038, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K -32, Private, 279231, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, <=50K -67, ?, 188903, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 2414, 0, 40, United-States, <=50K -45, Private, 183786, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -61, Private, 339358, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Other-relative, White, Female, 0, 0, 45, Mexico, <=50K -34, Private, 287737, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 99203, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 297449, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 50, United-States, >50K -35, Private, 113481, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -65, Private, 204042, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 43387, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, England, >50K -37, Private, 99233, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 313729, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 99679, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -18, Private, 169745, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 19914, Some-college, 10, Widowed, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 15, United-States, <=50K -31, Private, 113543, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 224241, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -40, Self-emp-inc, 137367, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, China, <=50K -32, Private, 263908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 280798, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Local-gov, 203849, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 62546, Doctorate, 16, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -40, Private, 197344, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -36, Private, 93225, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -33, Private, 187560, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K -23, State-gov, 61743, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 186648, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 173321, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 32, United-States, <=50K -53, State-gov, 246820, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -20, ?, 424034, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K -53, Self-emp-not-inc, 291755, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 72, United-States, <=50K -58, Private, 104945, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 60, United-States, <=50K -51, Private, 85423, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -31, Private, 214235, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 65, United-States, <=50K -35, Self-emp-not-inc, 278632, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 27415, 11th, 7, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 143392, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 277408, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -39, Self-emp-not-inc, 336793, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -36, Private, 184112, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 45, United-States, >50K -51, Private, 74660, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 395026, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -32, Private, 171215, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -56, Private, 121362, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -35, Private, 409200, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 268965, 12th, 8, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 136262, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 141323, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 108083, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 82210, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -33, State-gov, 400943, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 308489, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 50, United-States, <=50K -35, Private, 187053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -38, Private, 75826, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 413345, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -22, Private, 356567, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 223811, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 159313, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 250170, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -59, Private, 135617, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 187346, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 108103, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 255476, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -24, Private, 68577, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 155961, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 35, Jamaica, <=50K -22, State-gov, 264102, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 39, Haiti, <=50K -37, Private, 167777, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, <=50K -36, Private, 225399, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -28, Private, 199998, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -55, Private, 199856, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -29, ?, 189765, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 193042, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -66, ?, 222810, Some-college, 10, Divorced, ?, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -47, Local-gov, 162595, Some-college, 10, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 208826, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Local-gov, 120190, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -40, Self-emp-not-inc, 27242, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K -51, Private, 348099, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K -34, Private, 185041, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 45, United-States, <=50K -28, Private, 309196, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, State-gov, 254285, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 70, Germany, >50K -39, Self-emp-inc, 336226, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K -43, Private, 240698, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 411797, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 35, United-States, >50K -25, Private, 178843, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -42, Private, 136177, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -35, Private, 243409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Germany, <=50K -43, Private, 258049, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 53, United-States, >50K -34, Private, 164748, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, State-gov, 24185, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -30, Private, 167476, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 106900, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -52, Private, 53497, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 335704, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 211022, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -30, Private, 163003, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 52, Taiwan, <=50K -36, Self-emp-inc, 77146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K -39, Private, 67433, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 458549, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 96, Mexico, <=50K -26, Private, 190469, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 195411, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -20, Private, 216889, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -70, ?, 336007, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 167350, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 241857, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -48, Private, 125892, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Private, 272209, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 99, United-States, <=50K -48, Private, 175221, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 180195, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 38090, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -58, Private, 310085, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 118686, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -29, ?, 112963, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 120131, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, ?, <=50K -19, Private, 43937, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 210438, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 176724, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -31, Self-emp-not-inc, 113364, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -64, Self-emp-not-inc, 73986, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -28, Local-gov, 197932, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -32, Private, 193285, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 223342, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -35, Private, 49749, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -19, ?, 211553, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 201865, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 322143, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 70, United-States, >50K -55, Private, 158702, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 2339, 45, ?, <=50K -46, Self-emp-not-inc, 275625, Bachelors, 13, Divorced, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, South, >50K -19, Private, 206599, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -29, Private, 89813, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Scotland, <=50K -25, State-gov, 156848, HS-grad, 9, Married-civ-spouse, Protective-serv, Own-child, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 162494, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 205407, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 375313, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -36, Federal-gov, 930948, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 6497, 0, 56, United-States, <=50K -32, Private, 127895, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -34, Private, 248754, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 188096, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -20, Private, 216811, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Self-emp-inc, 113870, Masters, 14, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Federal-gov, 343052, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 280966, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 42044, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -32, Private, 309513, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 163604, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 224198, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -50, Private, 338283, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 242375, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -25, Private, 81286, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K -31, Private, 217803, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -31, Self-emp-not-inc, 323020, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K -41, Private, 34278, Assoc-voc, 11, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 184579, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, ?, 210781, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -20, Private, 142673, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -29, Private, 131714, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K -51, Local-gov, 74784, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 181372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 33, United-States, >50K -23, ?, 62507, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -48, Private, 155664, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K -39, Private, 174924, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 14344, 0, 40, United-States, >50K -62, Private, 113440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -22, Private, 147227, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -46, Federal-gov, 207022, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -51, Local-gov, 123011, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 35, United-States, >50K -20, Private, 184678, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -40, Self-emp-inc, 182437, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -31, Private, 98639, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 174201, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 123780, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 38, United-States, <=50K -20, Private, 374116, HS-grad, 9, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -37, Local-gov, 212005, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Private, 123965, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 242619, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -60, Local-gov, 138502, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 48, United-States, >50K -27, Private, 113635, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, Ireland, <=50K -62, Private, 664366, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -53, Private, 218311, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 278557, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 314773, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 194861, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 400616, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 208117, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 184498, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 117674, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -19, Private, 162621, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 14, United-States, <=50K -23, Private, 368739, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 196994, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, <=50K -63, Self-emp-not-inc, 420629, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K -62, Self-emp-inc, 245491, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 99999, 0, 40, United-States, >50K -51, Self-emp-not-inc, 276456, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 30, United-States, >50K -76, Local-gov, 169133, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -50, Private, 99307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 45, United-States, <=50K -45, Self-emp-inc, 120131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Self-emp-inc, 456236, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 45, United-States, >50K -51, Private, 107123, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 125461, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 4650, 0, 35, United-States, <=50K -43, Local-gov, 36924, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 167065, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 53642, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 154668, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Federal-gov, 102238, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 54595, 10th, 6, Widowed, Other-service, Not-in-family, Black, Female, 0, 1980, 40, United-States, <=50K -27, Private, 152951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 257042, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 74243, Assoc-voc, 11, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 149049, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 14344, 0, 45, United-States, >50K -33, Private, 117186, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 178322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -31, State-gov, 286911, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K -54, Private, 203635, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 60, United-States, >50K -57, Self-emp-not-inc, 177271, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -30, Private, 149427, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 101656, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -41, Private, 274363, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 42, United-States, >50K -25, Private, 241025, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K -51, Self-emp-inc, 338836, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 210534, 5th-6th, 3, Separated, Adm-clerical, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -28, Private, 95725, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -47, ?, 178013, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, Cuba, <=50K -53, Federal-gov, 167410, Bachelors, 13, Divorced, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -31, Private, 158162, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K -46, Private, 241935, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 7688, 0, 40, United-States, >50K -25, Federal-gov, 406955, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 341762, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 239303, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, <=50K -30, Private, 38848, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 54744, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 332194, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 154950, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -33, Self-emp-not-inc, 196342, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -31, Private, 201292, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 339767, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, England, >50K -26, Private, 250066, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 318886, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 124076, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -30, State-gov, 242122, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -17, Private, 34019, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Local-gov, 230754, Masters, 14, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 213842, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Federal-gov, 196386, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, El-Salvador, <=50K -32, Self-emp-not-inc, 62165, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K -34, Private, 134737, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, >50K -32, Private, 515629, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 119199, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 90222, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 28443, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 159442, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K -54, Private, 315804, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 135840, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -38, Private, 81232, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K -43, Private, 118001, 7th-8th, 4, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 207875, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 164898, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Local-gov, 170066, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, >50K -47, Private, 111994, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 34, United-States, <=50K -45, Private, 166636, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -24, State-gov, 61737, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 241885, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 234190, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -57, Private, 230899, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 114158, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 24, United-States, >50K -28, Private, 222442, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 51, Cuba, <=50K -27, Private, 157612, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -28, Private, 199903, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -74, ?, 292627, 1st-4th, 2, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 156687, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 42, Japan, <=50K -27, Private, 369522, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K -61, Private, 226297, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 356017, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -28, Private, 189257, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 24, United-States, <=50K -20, Private, 157541, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 69251, Assoc-voc, 11, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -38, State-gov, 272944, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 113667, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -40, Private, 222011, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -43, Private, 191196, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -38, Private, 169104, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 146679, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -56, Private, 226985, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 153066, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -30, ?, 159303, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K -22, Private, 200109, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 4508, 0, 40, United-States, <=50K -18, State-gov, 109445, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -68, Private, 99491, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 172571, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 143582, 7th-8th, 4, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 48, ?, <=50K -32, Private, 207113, 10th, 6, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Federal-gov, 192712, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -30, Private, 154297, 10th, 6, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -62, Private, 238913, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 2829, 0, 24, United-States, <=50K -38, Private, 110402, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 207213, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 606111, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, Germany, >50K -26, Private, 34112, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 119156, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K -19, Private, 249787, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 153516, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -25, State-gov, 260754, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 155621, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Columbia, <=50K -36, Private, 33983, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, >50K -23, Private, 306601, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K -24, Private, 270075, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 109430, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 187115, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -25, Self-emp-not-inc, 463667, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -24, Private, 52262, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 144064, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 62, United-States, <=50K -26, Private, 147821, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 45, ?, <=50K -62, ?, 232719, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 268620, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 33, United-States, <=50K -45, Private, 81132, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -31, Private, 323069, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 880, 45, United-States, <=50K -34, Private, 242984, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -65, Self-emp-inc, 172684, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, Mexico, >50K -42, Private, 103932, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, State-gov, 431637, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -40, Private, 188942, Some-college, 10, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, Puerto-Rico, <=50K -53, Federal-gov, 170354, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 28518, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -30, State-gov, 193380, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -59, Private, 175942, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -42, Self-emp-not-inc, 53956, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -23, Private, 120773, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 96219, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K -20, Private, 104164, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 190429, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -73, ?, 243030, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Self-emp-not-inc, 228660, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 40, United-States, >50K -44, Private, 368757, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 220563, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 233571, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 37, United-States, >50K -39, Private, 187847, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 84298, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -44, Self-emp-not-inc, 254303, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 109611, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 37, Portugal, <=50K -50, Private, 189183, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 206951, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 282882, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 377061, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 209906, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, Puerto-Rico, <=50K -53, Local-gov, 176059, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 279015, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 70, Taiwan, >50K -21, Private, 347292, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 277314, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -74, ?, 29887, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -53, Private, 341439, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -47, Private, 209460, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 47, United-States, <=50K -60, Private, 114263, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, Hungary, >50K -59, Private, 230899, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -37, Private, 271767, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -47, Federal-gov, 20956, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -49, Private, 39986, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -73, Local-gov, 45784, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 11, United-States, <=50K -58, Private, 126991, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -18, ?, 234648, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 15, United-States, <=50K -35, Private, 207676, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -24, State-gov, 413345, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, <=50K -62, Private, 122033, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -58, Private, 169611, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 90363, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K -21, Private, 372636, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 340917, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 34273, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 36, Canada, <=50K -25, Private, 161027, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K -31, Private, 99844, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K -31, Private, 207685, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 34, United-States, <=50K -44, Private, 74680, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 50, United-States, >50K -52, Self-emp-inc, 334273, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K -30, Private, 36069, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 100563, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 174308, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 109413, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -59, Local-gov, 212600, Some-college, 10, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -55, Private, 271710, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -70, ?, 230816, Assoc-voc, 11, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -22, Private, 103277, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -42, Private, 318947, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 187167, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 204742, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 282062, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 283510, HS-grad, 9, Never-married, ?, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K -25, Private, 280093, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 202729, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 205950, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 392286, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Self-emp-not-inc, 119207, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -49, Private, 195554, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K -30, Private, 173005, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, <=50K -54, Private, 192862, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -39, Private, 164712, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 195808, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 199444, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 44, United-States, <=50K -23, Private, 126346, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -54, Private, 177675, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -23, Private, 50341, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -39, Private, 237943, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 1726, 40, United-States, <=50K -23, Private, 126945, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -67, ?, 92061, HS-grad, 9, Widowed, ?, Other-relative, White, Female, 0, 0, 8, United-States, <=50K -19, ?, 109938, 11th, 7, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K -41, Private, 267252, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1902, 40, United-States, >50K -32, Private, 174704, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -57, Private, 124771, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 200603, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -60, State-gov, 165827, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 60, United-States, >50K -21, Private, 301199, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 215790, Some-college, 10, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 22, United-States, <=50K -38, Private, 87556, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K -21, Private, 111467, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 82646, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K -24, Private, 162282, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Federal-gov, 239074, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 214925, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -23, Private, 194247, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 211531, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Local-gov, 223267, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K -25, Private, 201635, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -41, Self-emp-not-inc, 188738, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 27, United-States, <=50K -18, Private, 133055, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -57, Private, 61761, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 45, United-States, <=50K -62, Private, 103344, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K -29, Private, 109814, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 225294, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 97277, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K -52, Private, 146711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 286452, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 20308, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 224203, Some-college, 10, Widowed, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 225978, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 237720, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -31, Private, 156743, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 76, United-States, >50K -31, Private, 509364, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K -46, Private, 144351, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 375515, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -57, Self-emp-not-inc, 103529, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K -25, Private, 199472, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -32, Private, 348152, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 221166, 9th, 5, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 341762, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -17, ?, 634226, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 17, United-States, <=50K -43, State-gov, 159449, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 110238, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -19, Private, 458558, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, Federal-gov, 340217, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 155106, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -90, Private, 90523, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 99, United-States, <=50K -25, Private, 122756, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -27, Private, 293828, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K -48, Private, 299291, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K -48, Federal-gov, 483261, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 122038, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -46, Private, 160647, Bachelors, 13, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -32, Private, 106541, 5th-6th, 3, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 126945, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 188505, Bachelors, 13, Married-AF-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Private, 377850, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -20, Private, 193586, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -28, Self-emp-not-inc, 315417, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 2176, 0, 40, United-States, <=50K -40, Self-emp-inc, 57233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -39, Private, 195253, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Local-gov, 172991, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 223215, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K -17, Private, 95799, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K -25, Self-emp-not-inc, 213385, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 80, United-States, <=50K -49, Local-gov, 202467, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 145574, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 34095, 0, 60, United-States, <=50K -39, Private, 147548, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 105216, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -28, Private, 77760, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 167990, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Canada, <=50K -44, Private, 167005, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K -51, Private, 108435, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 47, United-States, >50K -55, Private, 56645, Bachelors, 13, Widowed, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 304973, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 78, United-States, >50K -32, Private, 42596, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -45, Private, 220641, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 101452, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, England, >50K -35, Private, 188888, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -55, Local-gov, 168790, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K -59, Private, 98361, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 401762, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -46, Local-gov, 160187, Masters, 14, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -23, Private, 203715, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 144351, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -34, Private, 420749, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Germany, <=50K -51, Private, 106151, 11th, 7, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 362482, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, State-gov, 38151, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K -20, Private, 42706, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K -44, Private, 126199, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 1831, 0, 50, United-States, <=50K -26, Private, 165510, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 216068, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -23, Private, 215624, Some-college, 10, Never-married, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -40, Private, 239708, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -49, Local-gov, 199378, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 230420, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 395022, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 338620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -62, Private, 210142, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 446358, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -47, Local-gov, 352614, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 293528, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K -44, State-gov, 55395, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 128538, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -46, Private, 428405, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 126838, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 136836, Assoc-acdm, 12, Divorced, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -48, Private, 105838, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 139903, Bachelors, 13, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-inc, 106103, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K -33, Private, 186824, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 350387, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -17, Private, 142912, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -63, ?, 321403, 9th, 5, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-inc, 114937, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -34, ?, 286689, Masters, 14, Never-married, ?, Not-in-family, White, Male, 4650, 0, 30, United-States, <=50K -35, Private, 147258, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K -20, Private, 451996, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 149833, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 211968, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -33, Private, 287908, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K -36, Private, 166549, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 25216, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 286452, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 3418, 0, 40, United-States, <=50K -47, Private, 162034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -30, Private, 186932, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 75, United-States, >50K -34, Private, 82938, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 122048, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 118710, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 243226, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 268514, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 365289, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 165365, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 2885, 0, 40, Laos, <=50K -20, Private, 219266, HS-grad, 9, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 0, 0, 36, ?, <=50K -24, Private, 283757, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 39, United-States, <=50K -44, Federal-gov, 206553, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 113364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 328949, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 83930, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -31, Self-emp-not-inc, 325355, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K -20, Private, 131852, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -64, Private, 119506, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -47, State-gov, 100818, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 162302, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -48, Private, 182211, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -19, Self-emp-not-inc, 194205, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -22, Private, 141040, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -56, Private, 346033, 9th, 5, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 177125, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 241174, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, >50K -57, Local-gov, 130532, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 168496, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 362787, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -22, ?, 244771, 11th, 7, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Federal-gov, 48123, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-inc, 173858, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, South, >50K -32, Private, 207201, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -29, Private, 37933, 12th, 8, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -56, Private, 33323, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 175943, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 35, United-States, >50K -66, ?, 306178, 10th, 6, Divorced, ?, Not-in-family, White, Male, 2050, 0, 40, United-States, <=50K -71, Local-gov, 229110, HS-grad, 9, Widowed, Exec-managerial, Other-relative, White, Female, 0, 0, 33, United-States, <=50K -20, Private, 113511, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 333677, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 36, United-States, <=50K -42, Private, 236021, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K -20, ?, 371089, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 115023, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -24, State-gov, 133586, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 91137, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 105598, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 352812, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1902, 40, United-States, >50K -31, Private, 204829, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 247733, HS-grad, 9, Divorced, Priv-house-serv, Unmarried, Black, Female, 0, 0, 16, United-States, <=50K -36, ?, 370585, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 103257, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 178915, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 54260, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 55395, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 233511, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K -49, Private, 318331, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 195985, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 38876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Self-emp-inc, 81413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 172618, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -36, Private, 174717, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -67, Private, 224984, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 15831, 0, 16, Germany, >50K -61, Private, 423297, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Local-gov, 88856, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, ?, 169104, Assoc-acdm, 12, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, Philippines, <=50K -35, Federal-gov, 39207, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 340018, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -20, State-gov, 30796, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -51, Private, 155403, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 238092, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 225605, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, <=50K -36, Private, 289148, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 339863, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 178778, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K -29, Private, 568490, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 129345, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 447882, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 314165, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 20, United-States, <=50K -39, Federal-gov, 382859, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -51, State-gov, 82504, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 149700, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 15024, 0, 40, United-States, >50K -62, Private, 209844, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 62546, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 228686, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 326587, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 202091, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 310774, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 450246, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 84375, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 45, United-States, <=50K -43, Private, 142444, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 55, United-States, >50K -26, Private, 82246, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 38, United-States, <=50K -24, Private, 192766, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 53109, 11th, 7, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K -45, Self-emp-inc, 121836, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, ?, >50K -45, Self-emp-not-inc, 298130, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K -26, Private, 135645, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 265275, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, ?, 410114, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Without-pay, 232719, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 167716, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, <=50K -68, Private, 107627, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K -21, Private, 129674, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 48, Mexico, <=50K -28, Self-emp-inc, 114053, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -46, Private, 202560, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -35, Private, 219902, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -50, Self-emp-not-inc, 192654, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -48, Self-emp-inc, 238966, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, ?, 112942, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 153484, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K -23, Private, 161874, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 260106, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -50, Self-emp-inc, 240374, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -32, ?, 251612, 5th-6th, 3, Never-married, ?, Unmarried, White, Female, 0, 0, 45, Mexico, <=50K -53, Private, 223696, 12th, 8, Married-spouse-absent, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 56, Dominican-Republic, <=50K -52, Private, 176134, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K -38, Private, 186959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 456236, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 98948, Bachelors, 13, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 32, United-States, <=50K -41, Private, 166662, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 448626, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 167482, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K -45, Private, 189792, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 399052, 9th, 5, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 42, United-States, <=50K -40, Private, 104196, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -47, Self-emp-not-inc, 152752, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -53, Private, 268545, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K -53, Self-emp-inc, 148532, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -33, Local-gov, 281784, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 1564, 52, United-States, >50K -24, Private, 225724, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 200192, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 170850, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Federal-gov, 224858, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K -61, State-gov, 159908, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, >50K -31, Private, 115488, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 1268339, HS-grad, 9, Married-spouse-absent, Tech-support, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -42, Private, 195755, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -50, Federal-gov, 186272, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 181388, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 177181, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -74, Private, 91488, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 20, United-States, <=50K -40, Private, 230961, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -75, Self-emp-not-inc, 309955, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2174, 50, United-States, >50K -40, Local-gov, 63042, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 29814, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, ?, 116230, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -42, ?, 167678, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 22, Ecuador, <=50K -28, Private, 191088, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -19, Private, 63814, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -36, Private, 285865, Assoc-acdm, 12, Separated, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -33, ?, 160776, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, France, <=50K -50, Federal-gov, 299831, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 880, 40, United-States, <=50K -47, Private, 162741, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 15024, 0, 40, United-States, >50K -48, Private, 204990, HS-grad, 9, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 33, Jamaica, <=50K -60, Self-emp-inc, 171315, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 296462, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -32, Private, 103860, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Local-gov, 159816, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 35, United-States, >50K -51, Private, 96586, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 202720, 9th, 5, Married-spouse-absent, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 75, Haiti, <=50K -34, Private, 202822, Masters, 14, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -48, Self-emp-not-inc, 379883, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, >50K -68, ?, 123464, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 294121, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -63, ?, 179981, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K -31, Private, 234387, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 154537, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 125856, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 156015, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 116632, Bachelors, 13, Divorced, Sales, Own-child, White, Male, 0, 0, 80, United-States, <=50K -50, Private, 124963, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K -38, Self-emp-not-inc, 115215, 10th, 6, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 254905, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 195532, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 190067, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 1564, 40, United-States, >50K -63, Private, 181828, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, ?, <=50K -32, Private, 203674, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 880, 36, United-States, <=50K -25, Private, 322585, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -59, Private, 246262, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Local-gov, 211129, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, ?, <=50K -49, Private, 139268, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 188540, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, ?, 251167, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, Mexico, <=50K -46, Private, 94809, Some-college, 10, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -37, Local-gov, 265038, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -48, Private, 182566, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -43, Private, 220109, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 44, United-States, <=50K -41, Private, 208470, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 28683, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3464, 0, 40, United-States, <=50K -36, Private, 233571, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -29, Private, 24562, Bachelors, 13, Divorced, Other-service, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K -66, Local-gov, 36364, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2267, 40, United-States, <=50K -59, Private, 168569, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 167098, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 271579, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -28, Private, 191355, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 31659, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 60, United-States, >50K -42, State-gov, 83411, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 40856, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K -58, Private, 115605, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 132326, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 220213, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 172511, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 156745, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 218916, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 306114, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 196675, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 70, United-States, <=50K -59, Self-emp-not-inc, 73411, Prof-school, 15, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -36, Private, 184659, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -72, ?, 75890, Some-college, 10, Widowed, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 4, United-States, <=50K -35, Private, 320451, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, Hong, >50K -33, Private, 172498, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 131588, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -40, Private, 124520, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, >50K -26, Self-emp-not-inc, 93806, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -37, Federal-gov, 173192, Assoc-voc, 11, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -68, Self-emp-not-inc, 198554, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 26502, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K -56, Private, 225267, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 150042, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 211319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -38, Private, 208358, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 58115, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 41, United-States, <=50K -28, Private, 219267, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 28, United-States, <=50K -39, Federal-gov, 129573, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Local-gov, 27834, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 415037, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K -52, Private, 191529, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -84, Private, 132806, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K -33, Federal-gov, 137059, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -46, Federal-gov, 102308, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -30, Private, 164309, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 40955, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, England, >50K -66, Private, 141085, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -62, Federal-gov, 258124, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, >50K -31, Private, 467579, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 40, United-States, >50K -31, Private, 145139, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 231141, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 146674, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 50, ?, <=50K -27, Private, 242207, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, ?, 102541, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -38, Private, 135416, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 267284, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 130812, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 183765, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -45, Local-gov, 188823, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 200593, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 124094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K -21, Private, 50411, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 101689, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 73091, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 1876, 50, United-States, <=50K -21, ?, 107801, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 6, United-States, <=50K -51, Private, 176969, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -30, Private, 342709, HS-grad, 9, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 368561, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 26915, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -57, Private, 157974, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K -48, Private, 109832, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -39, Self-emp-inc, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K -68, Self-emp-not-inc, 195881, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2414, 0, 40, United-States, <=50K -33, Private, 183000, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -22, Without-pay, 302347, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 4416, 0, 40, United-States, <=50K -18, ?, 151463, 11th, 7, Never-married, ?, Other-relative, White, Male, 0, 0, 7, United-States, <=50K -28, Private, 217200, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 31740, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -56, Private, 35520, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -36, Private, 369843, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 199227, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -18, Private, 144711, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1721, 40, United-States, <=50K -39, Private, 382802, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, Black, Male, 0, 1590, 40, United-States, <=50K -25, Private, 254781, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 70657, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -56, Self-emp-not-inc, 50791, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 1876, 60, United-States, <=50K -33, Self-emp-not-inc, 222162, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 94606, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, United-States, >50K -44, Self-emp-not-inc, 104196, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 84, United-States, <=50K -30, Self-emp-not-inc, 455995, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -27, Private, 166210, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 198986, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -30, Self-emp-inc, 292465, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 99388, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -38, Private, 698363, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 154940, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 401998, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -62, Private, 162825, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 271795, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 134671, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 87583, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 14, United-States, <=50K -50, Private, 248619, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 130200, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 178922, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 51985, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -37, Private, 125933, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -38, State-gov, 104280, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -27, Private, 617860, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 122112, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -45, Local-gov, 181758, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 223671, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K -38, Self-emp-not-inc, 140117, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -27, Private, 107458, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Federal-gov, 215948, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, ?, <=50K -44, Federal-gov, 306440, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Federal-gov, 615893, Masters, 14, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Nicaragua, <=50K -28, Self-emp-inc, 201186, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 99999, 0, 40, United-States, >50K -32, Private, 37210, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Private, 196084, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -45, Local-gov, 166181, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -52, Federal-gov, 291096, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 40, United-States, >50K -24, Private, 232841, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -19, ?, 131982, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 408788, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Self-emp-inc, 42924, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 50, United-States, >50K -31, Private, 181091, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 200246, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 282023, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Federal-gov, 128990, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 106838, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 144750, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 18, United-States, <=50K -39, Private, 108140, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 103323, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 268022, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K -58, Private, 197114, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 191628, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 2174, 0, 40, United-States, <=50K -59, Local-gov, 176118, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -24, Private, 42401, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -42, Private, 322385, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2407, 0, 40, United-States, <=50K -53, State-gov, 123011, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 210945, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Local-gov, 130620, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K -26, Private, 248990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Private, 132705, 9th, 5, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -29, Private, 94892, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 141858, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 81232, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -48, Private, 114561, Bachelors, 13, Married-spouse-absent, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 36, Philippines, >50K -45, Local-gov, 191776, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 128354, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 37088, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -21, Private, 414812, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -63, ?, 156799, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -39, Private, 33983, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 15024, 0, 40, United-States, >50K -52, Self-emp-not-inc, 194995, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 55, United-States, >50K -41, Self-emp-inc, 73431, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 155664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 70, United-States, >50K -27, ?, 182386, 11th, 7, Divorced, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -53, State-gov, 281074, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1092, 40, United-States, <=50K -33, Local-gov, 248346, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 167482, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -18, ?, 171088, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 211763, Doctorate, 16, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 24, United-States, >50K -20, Private, 122166, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 370119, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Self-emp-not-inc, 138940, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -41, Private, 174575, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K -67, Private, 101132, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 1797, 0, 40, United-States, <=50K -38, Private, 292307, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, Dominican-Republic, <=50K -47, Self-emp-not-inc, 248776, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K -39, Private, 314007, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 213226, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 35, ?, <=50K -36, Private, 76845, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -24, Private, 148320, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 54261, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K -21, Private, 223352, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 1055, 0, 30, United-States, <=50K -21, Private, 211013, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, Mexico, <=50K -40, Private, 209833, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 356272, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -38, Private, 143538, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 242960, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Local-gov, 263871, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 151105, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 207685, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1564, 55, England, >50K -49, Local-gov, 46537, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 594, 0, 10, United-States, <=50K -45, Self-emp-inc, 84324, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 224716, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 186269, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 143731, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K -39, Private, 236391, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 54560, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 266325, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K -32, Federal-gov, 42900, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -45, State-gov, 183710, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 278254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 45, United-States, <=50K -35, Private, 119992, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -52, Private, 284329, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -55, Private, 368727, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 353696, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 31387, Bachelors, 13, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 2885, 0, 25, United-States, <=50K -27, Private, 110931, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 169532, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -21, Private, 285522, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 198774, Bachelors, 13, Divorced, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -32, Private, 123291, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 146110, Some-college, 10, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -37, Self-emp-not-inc, 29814, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 195595, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -44, Private, 92649, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, >50K -53, Private, 290688, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -43, Private, 427382, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -60, State-gov, 234854, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -23, Private, 276568, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 250038, Masters, 14, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -29, Private, 150861, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 87205, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 55, England, <=50K -47, Private, 343579, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 12, Mexico, <=50K -20, Private, 94401, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 120238, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, Poland, >50K -27, Private, 205440, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 198996, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 294253, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K -23, Private, 256628, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, <=50K -59, Self-emp-not-inc, 223131, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -46, Private, 207301, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -66, ?, 270460, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 125457, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 38, United-States, >50K -36, Local-gov, 212856, 11th, 7, Never-married, Other-service, Unmarried, White, Female, 0, 0, 23, United-States, <=50K -44, Private, 197389, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 73338, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 68037, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 185027, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 107123, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 109482, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 98, United-States, <=50K -30, Private, 174543, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 208407, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 30, United-States, <=50K -68, Self-emp-not-inc, 211584, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 108540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 202416, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -62, ?, 160155, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 6418, 0, 40, United-States, >50K -20, Private, 176178, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 265148, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 38, Jamaica, <=50K -34, Private, 220631, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -30, Self-emp-not-inc, 303692, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, <=50K -25, Private, 135845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, State-gov, 199915, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 21, United-States, <=50K -40, State-gov, 150533, Bachelors, 13, Married-civ-spouse, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -26, Federal-gov, 85482, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 24473, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 272944, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -43, ?, 82077, Some-college, 10, Divorced, ?, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -49, State-gov, 194895, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 314153, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 176253, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -59, Private, 113959, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -42, State-gov, 167581, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 79586, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Iran, <=50K -40, Private, 166662, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -47, Private, 72896, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 345730, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -30, Private, 302473, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 42346, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -21, Private, 243921, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 131620, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K -47, Private, 158924, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K -22, Self-emp-not-inc, 32921, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 252897, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K -41, Private, 155657, 11th, 7, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 155106, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 53, United-States, <=50K -60, Private, 82775, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -73, Private, 26248, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K -90, Private, 88991, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, England, >50K -62, Federal-gov, 125155, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K -28, Private, 218039, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 53524, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 259352, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 296453, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -19, Private, 278915, 12th, 8, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 52, United-States, <=50K -23, Private, 565313, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 2202, 0, 80, United-States, <=50K -22, Federal-gov, 274103, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -19, Private, 271118, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 28, United-States, <=50K -45, Federal-gov, 207107, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Male, 0, 2080, 40, Philippines, <=50K -26, Local-gov, 138597, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -42, Local-gov, 180985, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 99999, 0, 40, United-States, >50K -62, Self-emp-not-inc, 159939, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -61, Private, 110920, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 34862, Bachelors, 13, Divorced, Sales, Not-in-family, Amer-Indian-Eskimo, Male, 0, 1564, 60, United-States, >50K -22, Local-gov, 163205, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 53, United-States, <=50K -56, Private, 110003, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 229051, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, ?, 144898, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 211596, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 48458, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 1669, 45, United-States, <=50K -58, Private, 201393, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K -25, Self-emp-not-inc, 136450, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -23, Private, 193586, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 91189, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 227832, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 271936, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 61343, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 157778, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K -23, Private, 201680, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 228320, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -72, Private, 33404, 10th, 6, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 103205, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 279029, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 213092, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 126104, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1980, 45, United-States, <=50K -32, Private, 119124, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 31924, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -22, Private, 253799, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, ?, <=50K -52, Private, 266138, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K -65, Private, 185001, 10th, 6, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -33, Self-emp-not-inc, 34102, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 115214, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 6497, 0, 65, United-States, <=50K -27, Private, 289484, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 287908, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 42, United-States, <=50K -53, Self-emp-not-inc, 158284, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -23, Private, 60668, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K -43, State-gov, 222978, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -58, Private, 244605, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3908, 0, 40, United-States, <=50K -38, Private, 150601, 10th, 6, Separated, Adm-clerical, Unmarried, White, Male, 0, 3770, 40, United-States, <=50K -26, Private, 199143, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 131681, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 346406, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1672, 50, United-States, <=50K -33, Federal-gov, 391122, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -29, Local-gov, 280344, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, State-gov, 188809, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -41, Private, 277488, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 36, United-States, <=50K -63, Self-emp-not-inc, 181561, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 158545, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 27, United-States, <=50K -23, Private, 313573, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -31, Private, 591711, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -41, Private, 268183, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Private, 392286, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 233312, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 520231, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -24, Self-emp-not-inc, 186831, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -67, Self-emp-not-inc, 141085, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -65, ?, 198019, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -47, Local-gov, 198660, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 409230, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -38, Private, 376025, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 80167, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 99357, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 1506, 0, 40, United-States, <=50K -24, Private, 82847, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, Portugal, >50K -24, Private, 22201, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K -38, Private, 275223, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -19, Private, 117595, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K -32, Private, 207668, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -63, Self-emp-not-inc, 179981, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -18, Private, 192583, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 66304, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 200671, Bachelors, 13, Divorced, Transport-moving, Own-child, Black, Male, 6497, 0, 40, United-States, <=50K -57, Private, 32365, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 28497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 222978, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 1504, 40, United-States, <=50K -25, Private, 160261, Some-college, 10, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -48, Private, 120724, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 91733, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K -74, Self-emp-not-inc, 146929, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -44, Private, 205706, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 181666, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -54, Local-gov, 279452, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 207568, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K -38, Private, 22494, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 7443, 0, 40, United-States, <=50K -18, Private, 210026, 10th, 6, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -32, Local-gov, 190889, Masters, 14, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 40, ?, <=50K -24, Private, 109869, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Self-emp-not-inc, 285263, 9th, 5, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K -28, Private, 192588, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 232945, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 30, United-States, <=50K -49, Local-gov, 31339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 305147, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 188914, HS-grad, 9, Widowed, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 40, Haiti, <=50K -58, Self-emp-not-inc, 141165, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -68, Self-emp-inc, 136218, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -41, Federal-gov, 371382, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -21, ?, 199177, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 221366, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 50, United-States, >50K -24, Private, 403671, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 193871, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 306183, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 44, United-States, <=50K -64, ?, 159938, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -54, Private, 124194, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 69847, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 30, United-States, <=50K -26, State-gov, 169323, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, State-gov, 172327, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -48, Private, 118889, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 15, United-States, <=50K -50, Private, 166220, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 3942, 0, 40, United-States, <=50K -39, Private, 186420, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 192779, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -41, Private, 105616, Some-college, 10, Widowed, Adm-clerical, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -24, Private, 141113, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 2580, 0, 40, United-States, <=50K -57, Private, 160275, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 164507, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K -41, Private, 207578, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, India, >50K -55, Private, 314592, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -41, ?, 254630, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -69, Private, 159522, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, Black, Female, 2964, 0, 40, United-States, <=50K -22, Private, 112130, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 192835, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3942, 0, 40, United-States, <=50K -33, Private, 206280, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -57, Private, 308861, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 93206, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1902, 65, United-States, >50K -40, Private, 206066, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Self-emp-not-inc, 309895, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Local-gov, 216129, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -26, State-gov, 287420, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -24, Private, 163595, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 170092, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -37, Private, 287031, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 75, United-States, >50K -42, Private, 59474, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 99151, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -37, Private, 206888, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 177119, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 80, ?, <=50K -22, Private, 173736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 182163, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -45, Local-gov, 311080, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Self-emp-not-inc, 389857, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -23, Private, 297152, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -24, Federal-gov, 130534, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 137301, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 316235, HS-grad, 9, Divorced, Sales, Other-relative, White, Female, 0, 0, 32, United-States, <=50K -28, Self-emp-inc, 32922, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -58, Private, 118303, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, >50K -18, Private, 188241, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -59, Private, 236731, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -39, Private, 209397, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, Self-emp-inc, 290640, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Private, 221915, Prof-school, 15, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 65, United-States, <=50K -51, Private, 175246, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -59, Private, 159724, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 55, United-States, >50K -42, State-gov, 160369, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -36, Private, 461337, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 187311, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -32, Private, 29312, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 197365, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 301747, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -55, Local-gov, 135439, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -30, Private, 340917, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 155057, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -65, ?, 200749, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -44, Private, 323627, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K -23, ?, 154921, 5th-6th, 3, Never-married, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 131425, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 184242, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 149769, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K -44, Private, 124924, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Mexico, <=50K -29, Private, 253003, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K -57, State-gov, 250976, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 104196, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -34, Self-emp-not-inc, 250182, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 188331, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -44, Private, 187322, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 130714, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 22, United-States, <=50K -37, Private, 40955, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 107125, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, >50K -51, Private, 145714, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, ?, >50K -27, Private, 133937, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -41, State-gov, 293485, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3103, 0, 40, United-States, >50K -28, ?, 203260, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -37, Self-emp-not-inc, 143368, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -18, Private, 51789, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K -24, State-gov, 211049, 7th-8th, 4, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -53, Private, 81794, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 139193, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1980, 48, United-States, <=50K -54, Private, 150999, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 332657, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 240043, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -43, Private, 186188, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, Iran, <=50K -58, State-gov, 223400, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, >50K -59, Local-gov, 102442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -31, Private, 236599, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Private, 283237, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 150106, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 102076, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -40, Private, 374764, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 32528, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Federal-gov, 50053, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -58, Private, 212864, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 30673, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -69, ?, 248248, 1st-4th, 2, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 34, Philippines, <=50K -23, Private, 419554, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, <=50K -32, State-gov, 177216, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 118158, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K -41, Private, 116391, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Germany, <=50K -74, Private, 194312, 9th, 5, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 10, ?, <=50K -43, Private, 111895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -18, Private, 193290, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1721, 20, United-States, <=50K -24, Federal-gov, 287988, Bachelors, 13, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 147653, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 32, United-States, <=50K -54, Private, 117674, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 187458, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 410351, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 207578, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -62, ?, 55621, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 35, United-States, >50K -27, State-gov, 271243, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, Jamaica, <=50K -30, Private, 188798, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -63, Local-gov, 168656, Bachelors, 13, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, Outlying-US(Guam-USVI-etc), <=50K -33, Private, 460408, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K -34, Private, 241885, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -20, ?, 133061, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 194097, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 219137, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -50, Private, 31621, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 207685, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 57052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K -19, Private, 109854, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 369678, HS-grad, 9, Never-married, ?, Not-in-family, Other, Male, 0, 0, 43, United-States, <=50K -17, Private, 53611, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K -47, Private, 344916, Assoc-acdm, 12, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 198813, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -71, Private, 180733, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 188073, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -69, ?, 159077, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K -48, Private, 174829, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 142791, 7th-8th, 4, Widowed, Sales, Other-relative, White, Female, 0, 1602, 3, United-States, <=50K -58, Self-emp-not-inc, 43221, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 40, United-States, >50K -34, Private, 188736, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Female, 0, 0, 20, Columbia, <=50K -33, Local-gov, 222654, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 66, ?, <=50K -56, Private, 251836, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -40, Federal-gov, 112388, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 209641, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -42, Private, 313945, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Ecuador, <=50K -19, ?, 134974, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 152742, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K -28, Self-emp-inc, 153291, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 353432, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -23, Private, 96635, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K -46, ?, 202560, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K -39, Private, 150057, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -39, Private, 114844, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1876, 50, United-States, <=50K -45, Private, 132847, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, ?, 41356, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -50, Self-emp-not-inc, 93705, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 309350, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 123084, 11th, 7, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 174662, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 32, United-States, <=50K -62, Federal-gov, 177295, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 211880, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 454915, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 232475, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-inc, 244605, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 150876, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 55, United-States, >50K -51, Private, 257337, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 329144, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 45, United-States, >50K -37, Private, 116960, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -58, Private, 267663, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K -39, Private, 47871, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, >50K -34, Private, 295922, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, England, >50K -45, Private, 175625, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -19, ?, 129586, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 190179, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K -40, Private, 168071, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 202027, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -36, Private, 202662, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 101436, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K -19, ?, 119234, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 15, United-States, <=50K -37, Private, 360743, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, >50K -60, Local-gov, 93272, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 145574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 101722, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 3908, 0, 47, United-States, <=50K -34, Private, 135785, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -23, ?, 218415, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -19, Private, 127709, HS-grad, 9, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -37, Federal-gov, 448337, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -58, Private, 310320, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 251521, 11th, 7, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -39, Private, 255503, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -36, Private, 116608, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K -26, Private, 71009, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -22, Private, 174975, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 36, United-States, <=50K -32, Private, 108023, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 204018, 11th, 7, Never-married, Sales, Unmarried, White, Male, 0, 0, 15, United-States, <=50K -57, ?, 366563, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -68, Private, 121846, 7th-8th, 4, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -70, Private, 278139, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3432, 0, 40, United-States, <=50K -30, Private, 114691, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, State-gov, 536725, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 15, Japan, <=50K -51, Private, 94432, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 286002, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 30, Nicaragua, <=50K -47, Private, 101684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 352834, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K -36, Private, 99146, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K -30, Private, 231413, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 158846, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Local-gov, 190786, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 306513, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -62, Private, 152148, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 309580, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, ?, 130832, Bachelors, 13, Never-married, ?, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -25, Private, 194897, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Male, 6849, 0, 40, United-States, <=50K -30, Private, 130078, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -48, Private, 39986, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 379198, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K -51, Private, 189762, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, >50K -19, Private, 178147, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -31, Private, 332379, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 175759, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -21, ?, 262062, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 275446, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 278522, 11th, 7, Never-married, Farming-fishing, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 54683, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -57, Private, 136107, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -18, Private, 205894, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -54, Private, 210736, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 166634, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 185283, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 180553, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 199058, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, ?, <=50K -18, Private, 145005, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -37, Self-emp-not-inc, 184655, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -52, Private, 358554, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -59, Private, 307423, 9th, 5, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -27, Private, 472070, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Federal-gov, 115562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 32446, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-not-inc, 33121, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K -37, Private, 183345, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 119793, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K -48, Self-emp-not-inc, 97883, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -58, Self-emp-not-inc, 31732, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 206250, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 103323, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-inc, 135436, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 376455, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -52, Private, 160703, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K -30, Private, 131699, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 243842, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 349910, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -61, Private, 170262, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 38, United-States, >50K -33, Private, 184306, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -46, Private, 224202, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -64, Private, 151540, 11th, 7, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -28, Private, 231197, 10th, 6, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -19, Private, 279968, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -36, Private, 162651, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K -43, Self-emp-not-inc, 130126, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Self-emp-not-inc, 160120, Doctorate, 16, Divorced, Adm-clerical, Other-relative, Other, Male, 0, 0, 40, ?, <=50K -56, Private, 161662, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -24, Local-gov, 201664, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 137142, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Self-emp-inc, 122206, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -56, Local-gov, 183169, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 126513, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -35, Federal-gov, 185053, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 408427, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -50, Self-emp-not-inc, 198581, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -61, Private, 199198, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 21, United-States, <=50K -31, Private, 184306, Assoc-voc, 11, Never-married, Transport-moving, Own-child, White, Male, 0, 1980, 60, United-States, <=50K -63, Private, 172740, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 205153, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 164964, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 162606, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 179627, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 103408, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Germany, >50K -27, Private, 36440, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 57512, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K -27, Private, 187981, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 393768, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 108726, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 180551, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 176240, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 70720, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 35890, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 283676, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Local-gov, 105540, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2051, 40, United-States, <=50K -44, Private, 408717, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 3674, 0, 50, United-States, <=50K -21, Private, 57916, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 177974, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, <=50K -34, ?, 177304, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K -18, Private, 115839, 12th, 8, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, ?, 205256, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2885, 0, 80, United-States, <=50K -38, Private, 117802, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, >50K -19, Private, 211355, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K -46, Private, 173243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 343200, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -22, Private, 401690, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, Mexico, <=50K -38, Private, 196123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 168981, Masters, 14, Divorced, Exec-managerial, Own-child, White, Female, 14084, 0, 50, United-States, >50K -83, Self-emp-not-inc, 213866, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -34, Private, 55176, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 153976, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 119176, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 169117, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 1887, 40, United-States, >50K -38, Private, 156550, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 109609, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -38, Private, 26698, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 236497, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -33, State-gov, 306309, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 242773, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 124680, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 6849, 0, 60, United-States, <=50K -52, Local-gov, 43909, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 112820, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 2463, 0, 40, United-States, <=50K -25, Private, 148300, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -17, Private, 133449, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 26, United-States, <=50K -22, Private, 263670, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 80, United-States, <=50K -22, Private, 276494, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 190115, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -58, Private, 317479, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 151248, Some-college, 10, Divorced, Sales, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -59, Local-gov, 130532, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, Poland, <=50K -61, Private, 160062, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 299635, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 171225, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -51, Private, 33304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 95634, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 45, ?, <=50K -20, Private, 243878, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 181721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -44, Federal-gov, 201435, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -28, Private, 334032, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 220019, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 71772, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -42, Self-emp-not-inc, 27661, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 191411, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K -39, Private, 123945, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -38, Self-emp-not-inc, 37778, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -34, State-gov, 171216, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 93955, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 163809, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -53, Private, 346754, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -43, Private, 188436, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -28, Private, 72443, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1669, 60, United-States, <=50K -68, Private, 186350, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 10, United-States, >50K -22, ?, 214238, 7th-8th, 4, Never-married, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -46, State-gov, 394860, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K -57, Private, 262642, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 125550, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -66, Private, 192504, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 131310, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 249322, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -38, Private, 172755, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 209993, 11th, 7, Separated, Priv-house-serv, Unmarried, White, Female, 0, 0, 8, Mexico, <=50K -30, Private, 166961, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 37, United-States, <=50K -39, Private, 315291, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 284703, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 166565, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Self-emp-not-inc, 173854, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 189219, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 210781, Bachelors, 13, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, France, <=50K -59, Local-gov, 171328, HS-grad, 9, Separated, Protective-serv, Other-relative, Black, Female, 0, 2339, 40, United-States, <=50K -45, Private, 199832, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K -64, Private, 251292, 5th-6th, 3, Separated, Other-service, Other-relative, White, Female, 0, 0, 20, Cuba, <=50K -61, Private, 122246, 12th, 8, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 190767, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 278736, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -53, Private, 124963, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 167476, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 7, United-States, <=50K -34, Local-gov, 246104, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 171615, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K -67, Private, 264095, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 9386, 0, 24, Cuba, >50K -46, Private, 177114, Assoc-acdm, 12, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 27, United-States, <=50K -32, Private, 146154, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 198196, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 79712, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 154785, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 182423, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -20, ?, 347292, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 32, United-States, <=50K -34, Private, 118584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 219835, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, ?, <=50K -17, ?, 148769, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -45, Private, 197418, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -21, Private, 253190, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 192273, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 129573, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K -17, Private, 173807, 11th, 7, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 15, United-States, <=50K -35, Private, 217893, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -38, Private, 102938, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Local-gov, 407495, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K -25, Private, 50053, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Japan, <=50K -57, Private, 233382, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K -32, Private, 270968, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -39, Local-gov, 272166, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -23, Private, 199915, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 305781, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 107682, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -25, Private, 188507, 7th-8th, 4, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Dominican-Republic, <=50K -18, ?, 28311, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -41, Federal-gov, 197069, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Male, 4650, 0, 40, United-States, <=50K -19, Private, 177839, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -24, Private, 77665, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -57, Private, 127728, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -51, ?, 172175, Doctorate, 16, Never-married, ?, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K -32, Private, 106742, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 192838, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 79531, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 75, United-States, >50K -21, State-gov, 337766, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -45, Self-emp-not-inc, 33234, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -17, ?, 34088, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -55, Private, 176904, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 172148, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 199058, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K -38, Private, 48093, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 143664, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 168337, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K -43, Private, 195212, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, ?, <=50K -39, Private, 230329, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Canada, >50K -42, Private, 376072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 430175, HS-grad, 9, Divorced, Craft-repair, Other-relative, Black, Female, 0, 0, 50, United-States, <=50K -44, Federal-gov, 240628, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K -50, Self-emp-inc, 158294, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 80, United-States, >50K -55, Private, 28735, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K -37, Private, 167482, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 113203, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 103948, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 310525, 12th, 8, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K -35, Private, 105138, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 153489, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -57, State-gov, 254949, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 118149, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 267965, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -43, Private, 50646, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -33, Private, 147700, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K -18, Private, 446771, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -47, Private, 168262, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 117058, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 140957, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, >50K -35, Private, 186126, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, ?, <=50K -49, Private, 268234, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 485117, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 31350, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, England, <=50K -36, State-gov, 210830, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K -29, Private, 196420, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -52, Private, 172165, 10th, 6, Divorced, Other-service, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -50, Self-emp-not-inc, 186565, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 119359, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 109684, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 169589, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 125421, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -31, Private, 500002, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K -33, Private, 224141, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 113290, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K -62, ?, 123992, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 58098, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K -46, ?, 37672, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -55, Private, 198145, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -49, Federal-gov, 35406, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -22, Private, 199419, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 145441, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -58, Private, 238438, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K -48, State-gov, 212954, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -21, Private, 56582, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K -67, Local-gov, 176931, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -39, Self-emp-not-inc, 188571, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Federal-gov, 312500, Assoc-voc, 11, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 278404, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 114225, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -18, Private, 184016, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Local-gov, 183009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -59, Private, 205759, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 462294, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Male, 0, 0, 44, United-States, <=50K -42, Private, 102085, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -54, Self-emp-not-inc, 83311, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, >50K -39, Private, 248694, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -57, Local-gov, 190747, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 162988, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -31, Self-emp-not-inc, 156890, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 310380, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female, 0, 0, 45, United-States, <=50K -35, Private, 172186, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 311497, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-inc, 443508, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Private, 152156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 155890, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -38, State-gov, 312528, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 37, United-States, <=50K -51, Private, 282744, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Canada, <=50K -27, Private, 205145, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, ?, 119918, Bachelors, 13, Never-married, ?, Not-in-family, Black, Male, 0, 0, 45, ?, <=50K -22, Private, 401451, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K -72, ?, 173427, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Cuba, <=50K -25, Private, 189027, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 35551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -23, Private, 42706, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -63, Private, 106910, 5th-6th, 3, Widowed, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 19, Philippines, <=50K -23, Private, 53245, 9th, 5, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 221672, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -75, Private, 71898, Preschool, 1, Never-married, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 48, Philippines, <=50K -52, Private, 222107, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -69, Private, 277588, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K -52, Private, 178983, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -40, Federal-gov, 391744, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 418020, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -21, State-gov, 39236, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -30, Private, 86808, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 147640, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 1902, 40, United-States, <=50K -21, Private, 184756, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -44, Private, 191256, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, State-gov, 105943, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 40, United-States, <=50K -40, Private, 101272, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -33, State-gov, 175023, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 37, United-States, <=50K -22, Self-emp-not-inc, 357612, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 82777, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -75, Self-emp-not-inc, 218521, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -55, Private, 179534, 11th, 7, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, ?, 33339, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 148549, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 27828, 0, 56, United-States, >50K -31, Private, 198069, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K -49, Private, 236586, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Local-gov, 167261, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 160942, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, <=50K -44, Private, 107584, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3908, 0, 50, United-States, <=50K -28, Local-gov, 251854, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -79, ?, 163140, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 302579, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K -44, Self-emp-inc, 64632, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 83141, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 326048, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 83471, HS-grad, 9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -23, Private, 170070, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -25, Private, 207875, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -48, Private, 119722, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 8, United-States, <=50K -18, Private, 335665, 11th, 7, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 24, United-States, <=50K -25, Private, 212522, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 42069, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 2176, 0, 45, United-States, <=50K -26, ?, 131777, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2002, 40, United-States, <=50K -33, Private, 236396, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -42, Private, 159911, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 133833, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 226947, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 174201, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 49707, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -33, Private, 201988, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -62, Self-emp-not-inc, 162347, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, >50K -30, Private, 182833, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -22, Private, 383603, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 70466, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 184846, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -25, Private, 176756, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 112512, HS-grad, 9, Widowed, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 137296, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 37821, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -25, Private, 295108, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -40, Private, 408717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 255635, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -48, Self-emp-not-inc, 177783, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -63, Self-emp-not-inc, 179400, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 20, United-States, <=50K -31, Private, 240283, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 410034, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 180667, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 196332, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -32, Local-gov, 159187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -46, Private, 225065, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Mexico, <=50K -19, Private, 178147, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -30, Private, 272669, Some-college, 10, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -35, Private, 347491, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 146399, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -33, Private, 75167, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -25, Private, 133373, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -64, Local-gov, 84737, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 35, United-States, >50K -18, Private, 96483, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -59, Private, 368005, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, State-gov, 36032, HS-grad, 9, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 174215, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -24, Private, 228772, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -22, Private, 242912, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -49, Self-emp-inc, 86701, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 56, United-States, >50K -35, Private, 166549, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Local-gov, 121622, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K -18, Private, 201613, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 29874, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 168138, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 162404, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -21, ?, 162160, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K -26, Private, 139116, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 50, United-States, <=50K -44, Private, 192381, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K -39, Private, 370585, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -40, State-gov, 151038, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -70, Self-emp-not-inc, 36311, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 35, United-States, >50K -34, Private, 271933, Masters, 14, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -34, Private, 182401, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -66, Private, 234743, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 182140, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 215591, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -59, Self-emp-not-inc, 96459, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, ?, 205562, Masters, 14, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 188081, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -33, State-gov, 121245, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -18, Private, 127273, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -25, Private, 114345, 9th, 5, Never-married, Craft-repair, Unmarried, White, Male, 914, 0, 40, United-States, <=50K -22, Private, 341227, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -40, Local-gov, 166893, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K -68, ?, 65730, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -30, Private, 145231, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, White, Female, 0, 1762, 40, United-States, <=50K -73, Self-emp-not-inc, 102510, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6418, 0, 99, United-States, >50K -45, Self-emp-not-inc, 285335, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K -23, Private, 177087, 11th, 7, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K -40, Private, 240504, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 218490, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -23, Private, 384651, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 189551, HS-grad, 9, Divorced, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 194791, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 194630, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -53, Private, 177647, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 51620, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 251421, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 180477, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K -40, State-gov, 391736, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, State-gov, 170091, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 6, United-States, <=50K -36, Private, 175360, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K -35, Private, 276153, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 4650, 0, 40, United-States, <=50K -53, Federal-gov, 105788, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, >50K -42, Local-gov, 248476, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, >50K -32, Private, 168443, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 120201, HS-grad, 9, Divorced, Adm-clerical, Own-child, Other, Female, 0, 0, 65, United-States, <=50K -59, Private, 114678, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -36, Private, 167440, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K -37, Self-emp-not-inc, 265266, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K -31, Private, 212235, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 44671, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, State-gov, 87282, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 38, United-States, <=50K -27, Private, 112754, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 60, United-States, >50K -29, Self-emp-not-inc, 322238, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 65382, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 115176, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K -48, Self-emp-not-inc, 162236, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, ?, >50K -42, Private, 409902, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -60, Local-gov, 204062, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -35, Private, 283305, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 435638, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 114733, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, <=50K -22, Private, 162343, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 22, United-States, <=50K -18, ?, 195981, HS-grad, 9, Widowed, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 79531, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, State-gov, 395078, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 159641, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 40, United-States, <=50K -21, Private, 159567, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 133917, Assoc-voc, 11, Never-married, Sales, Other-relative, Black, Male, 0, 0, 40, ?, <=50K -52, Private, 196894, 11th, 7, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 132879, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -23, Private, 190290, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 102828, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, <=50K -31, Private, 128493, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -30, State-gov, 290677, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -21, Private, 283757, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 169104, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -51, Private, 171409, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Self-emp-not-inc, 319165, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 203182, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -20, ?, 211968, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K -26, Private, 215384, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1974, 55, United-States, <=50K -26, Private, 166666, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -41, Private, 156566, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 140564, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Local-gov, 322208, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 420277, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 123430, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, Mexico, <=50K -45, Self-emp-inc, 151584, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -37, Self-emp-not-inc, 348960, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Private, 168232, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K -47, Self-emp-inc, 201699, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 511517, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 118001, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 193961, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -21, Private, 32732, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 223548, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Private, 389932, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K -29, Private, 102345, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -41, Private, 107584, Some-college, 10, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -20, ?, 34321, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -20, State-gov, 39478, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 54, United-States, <=50K -34, Self-emp-not-inc, 276221, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -78, Self-emp-inc, 385242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 45, United-States, >50K -46, Private, 235646, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 123306, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 38573, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 216889, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 386705, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 24, United-States, <=50K -47, Self-emp-not-inc, 249585, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -31, Local-gov, 47276, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, United-States, >50K -42, Self-emp-not-inc, 162758, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 56, United-States, >50K -46, Local-gov, 146497, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 190765, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -21, Private, 186314, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 213615, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 162322, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, State-gov, 115932, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 392694, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -38, State-gov, 143517, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 123429, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Italy, >50K -53, Private, 254285, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 238311, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 36, United-States, >50K -49, Private, 281647, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -30, Private, 75167, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 252862, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 199240, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, England, <=50K -43, Private, 145762, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Local-gov, 142443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 99361, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 105138, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 183171, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 1055, 0, 32, United-States, <=50K -18, Private, 151866, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -60, Private, 297261, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -43, Private, 148998, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 143046, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 183850, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -55, Self-emp-not-inc, 248841, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -31, Private, 198452, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 161092, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 112497, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 155963, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -28, Private, 147560, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K -24, Private, 376393, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, State-gov, 151790, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -21, Private, 438139, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -20, ?, 163911, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 214896, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -30, Private, 102821, Some-college, 10, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -44, Self-emp-not-inc, 90021, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -45, Private, 77085, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K -42, Private, 158555, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, ?, 28160, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 462255, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 144949, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 116207, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K -17, Private, 187308, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -45, Local-gov, 189890, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 185267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 63434, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 1366120, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -41, Self-emp-inc, 495061, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 70, United-States, >50K -34, Local-gov, 134886, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1740, 35, United-States, <=50K -33, Private, 129707, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -17, ?, 181337, 10th, 6, Never-married, ?, Own-child, Other, Female, 0, 0, 20, United-States, <=50K -51, Private, 74784, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -33, Private, 44392, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 406641, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 18, United-States, <=50K -52, Private, 89041, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, >50K -36, ?, 139770, Some-college, 10, Divorced, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K -25, Private, 180212, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, ?, 338212, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -64, Self-emp-not-inc, 178472, 9th, 5, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 384236, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -29, Private, 168470, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Local-gov, 80485, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -38, ?, 181705, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -24, Private, 216867, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K -43, Federal-gov, 214541, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 383239, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -28, Private, 70034, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -18, ?, 266287, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 128485, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -81, ?, 89015, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K -55, Private, 106740, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 167527, 11th, 7, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 19302, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 210150, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 179824, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -27, Private, 420351, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, State-gov, 215443, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -26, Private, 116044, 11th, 7, Separated, Craft-repair, Other-relative, White, Male, 2907, 0, 50, United-States, <=50K -33, Private, 215306, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Cuba, <=50K -39, Private, 108069, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 260046, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 31053, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 362302, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -54, Private, 87205, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -45, Private, 191703, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 242968, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -23, Local-gov, 185575, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 177858, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 73585, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 301802, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Self-emp-inc, 108467, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -47, Private, 431245, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 157217, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 204935, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 277112, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -64, Self-emp-inc, 59145, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K -30, Local-gov, 159773, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Private, 118793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K -26, State-gov, 152457, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 187901, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 1504, 40, United-States, <=50K -50, Private, 266529, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 256179, Some-college, 10, Never-married, ?, Own-child, White, Male, 594, 0, 10, United-States, <=50K -63, Private, 113756, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 83444, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K -37, Self-emp-inc, 30529, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 50, United-States, >50K -51, ?, 146325, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 28, United-States, <=50K -29, Private, 198825, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -69, Private, 71489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K -56, Private, 111218, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, ?, 221626, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Local-gov, 203482, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -42, Self-emp-not-inc, 352196, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K -41, Federal-gov, 355918, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 168262, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K -23, Private, 182615, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 211482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -34, Private, 386370, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, ?, 85077, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 1902, 20, United-States, >50K -46, Local-gov, 180010, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Without-pay, 142210, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 25, United-States, <=50K -33, Private, 415706, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -46, Private, 237731, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 343506, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 116163, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, France, <=50K -66, ?, 206560, HS-grad, 9, Widowed, ?, Not-in-family, Other, Female, 0, 0, 35, Puerto-Rico, <=50K -55, State-gov, 153451, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1887, 40, United-States, >50K -35, Private, 301862, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 33429, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 169583, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 146497, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 16, Germany, <=50K -48, Self-emp-not-inc, 383384, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 240809, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K -38, Private, 203763, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 218785, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, ?, 381741, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 1721, 20, United-States, <=50K -17, Private, 244602, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -44, State-gov, 175696, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 101027, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -37, Private, 99270, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 224393, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -42, Private, 192381, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 131686, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -73, ?, 84390, Assoc-voc, 11, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -44, Private, 277533, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 72880, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, ?, 149646, Some-college, 10, Divorced, ?, Own-child, White, Female, 0, 0, 20, ?, <=50K -49, Private, 209057, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 108909, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -42, Private, 74949, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 235639, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 137421, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 37, Hong, <=50K -53, Private, 122412, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 434894, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 379959, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 95885, 11th, 7, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 13550, 0, 60, United-States, >50K -39, Private, 225330, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 50, Poland, >50K -40, Private, 32627, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 65171, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 193380, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 184823, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 81259, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -35, Private, 301369, 12th, 8, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 190968, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -71, Private, 196610, 7th-8th, 4, Widowed, Exec-managerial, Not-in-family, White, Male, 6097, 0, 40, United-States, >50K -31, Private, 330715, HS-grad, 9, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 77698, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 139770, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 6849, 0, 40, United-States, <=50K -24, Private, 109053, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -69, Private, 312653, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K -35, Self-emp-not-inc, 193260, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K -35, Private, 331831, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 54202, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K -51, Private, 163948, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 36228, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -49, Private, 160167, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 178356, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 99, United-States, <=50K -43, Private, 104196, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 288353, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 187693, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 114988, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Local-gov, 117392, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 121124, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 195638, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 245053, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 1504, 40, United-States, <=50K -49, State-gov, 216734, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, ?, 197827, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 49156, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 126133, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 304463, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -34, Private, 214288, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 274969, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -23, Private, 189072, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -46, Private, 128047, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -20, Private, 210338, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -63, Private, 122442, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 167081, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 50, United-States, <=50K -33, Private, 251421, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -24, Federal-gov, 219519, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 33355, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 441210, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Local-gov, 178356, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 231196, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -58, State-gov, 40925, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 270587, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, England, <=50K -40, Private, 219266, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -27, Private, 114967, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 344492, HS-grad, 9, Separated, Sales, Own-child, White, Female, 0, 0, 26, United-States, <=50K -22, Private, 369387, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -80, Self-emp-not-inc, 101771, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K -52, Private, 137428, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -40, Federal-gov, 121012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 48, United-States, >50K -48, Private, 139290, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Female, 0, 0, 48, United-States, <=50K -62, Private, 199193, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K -32, Private, 286689, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K -21, ?, 123727, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -58, Federal-gov, 208640, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 120130, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -29, Self-emp-inc, 241431, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -25, Private, 120450, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 152240, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 200960, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Federal-gov, 314310, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Local-gov, 44566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K -59, Private, 21792, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -36, Private, 182074, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 221850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Ecuador, >50K -42, Private, 240628, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -34, Private, 318641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K -27, Self-emp-not-inc, 140863, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 129150, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 143003, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 7298, 0, 60, India, >50K -34, Self-emp-not-inc, 198664, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 15024, 0, 70, South, >50K -41, Private, 244945, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 138514, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 92008, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Female, 0, 0, 28, United-States, <=50K -23, Private, 207415, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 188626, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -38, Private, 257250, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 60, United-States, >50K -27, Private, 133696, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 88, United-States, <=50K -21, Private, 195919, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, Other, Male, 0, 0, 40, Dominican-Republic, <=50K -41, Private, 119266, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 140474, Assoc-acdm, 12, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K -25, Private, 69739, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 293176, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 217961, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -40, Local-gov, 163725, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -23, Private, 419394, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 9, United-States, <=50K -18, Private, 220836, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 334291, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 298601, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3781, 0, 40, United-States, <=50K -36, Private, 200360, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 203482, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 99126, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K -62, Private, 109190, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -34, Private, 34848, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 4064, 0, 40, United-States, <=50K -27, Private, 29732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 36, United-States, <=50K -23, Private, 87867, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -55, Private, 123515, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 175935, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 229456, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K -44, Private, 184105, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 40, United-States, >50K -42, Local-gov, 99554, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 190227, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 29020, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -31, Private, 306459, 1st-4th, 2, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Honduras, <=50K -42, Private, 193995, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -26, Private, 105059, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -62, Private, 71751, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 98, United-States, >50K -28, Private, 176683, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 50, United-States, >50K -34, Private, 342709, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 53838, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Local-gov, 209482, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -44, Private, 214242, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -47, ?, 34458, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -35, Private, 100375, Some-college, 10, Married-spouse-absent, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 149949, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 189762, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -46, Private, 79874, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 53, United-States, >50K -66, Self-emp-not-inc, 104576, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 8, United-States, >50K -34, State-gov, 355700, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 213625, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 204984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 144593, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -23, Private, 217169, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 184883, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -44, ?, 136419, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 57758, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, >50K -54, Self-emp-not-inc, 30908, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -71, Private, 217971, 9th, 5, Widowed, Sales, Unmarried, White, Female, 0, 0, 13, United-States, <=50K -51, Private, 160703, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 142675, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -75, ?, 248833, HS-grad, 9, Married-AF-spouse, ?, Wife, White, Female, 2653, 0, 14, United-States, <=50K -57, Private, 171242, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -34, Private, 376979, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 175935, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K -21, Private, 277530, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 104501, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 94041, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, Ireland, <=50K -37, Local-gov, 593246, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -19, Private, 121074, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K -64, Private, 192596, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -17, Private, 142457, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -37, Private, 136028, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 216145, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 4650, 0, 45, United-States, <=50K -20, Private, 157894, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -39, Self-emp-not-inc, 164593, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K -18, Private, 252993, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Columbia, <=50K -42, Private, 145711, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -43, Private, 358199, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K -42, Private, 219591, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, >50K -53, Local-gov, 205005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K -52, Private, 221936, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 120914, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -77, Self-emp-inc, 155761, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K -25, Private, 195914, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 3418, 0, 30, United-States, <=50K -38, Local-gov, 236687, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 318036, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 53306, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 174645, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 321817, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 206948, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Federal-gov, 402975, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -72, ?, 289930, Bachelors, 13, Separated, ?, Not-in-family, White, Female, 991, 0, 7, United-States, <=50K -42, Private, 367049, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K -36, Private, 143486, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Self-emp-inc, 27187, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -24, Private, 187717, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 378104, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 113870, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -42, Private, 252518, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -24, Private, 326334, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 279914, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 320451, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -36, Private, 207853, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -78, Self-emp-inc, 237294, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -43, Private, 112181, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1902, 32, United-States, >50K -34, State-gov, 259705, Some-college, 10, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 117789, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 449432, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Federal-gov, 89083, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 59612, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -21, Private, 129980, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 108233, Assoc-acdm, 12, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 342709, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 126675, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 141118, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 273701, Some-college, 10, Never-married, ?, Other-relative, Black, Male, 34095, 0, 10, United-States, <=50K -46, Private, 173243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Local-gov, 161092, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 209691, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, >50K -36, Private, 89508, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 399522, 11th, 7, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, State-gov, 136939, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Local-gov, 264436, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 199572, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Federal-gov, 28291, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 215990, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Self-emp-not-inc, 179594, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -61, Self-emp-inc, 139391, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 35, United-States, >50K -45, Private, 187370, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 7430, 0, 70, United-States, >50K -31, Private, 473133, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K -60, Self-emp-not-inc, 205246, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 2559, 50, United-States, >50K -26, Private, 182308, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 51662, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 289468, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 201954, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K -45, Self-emp-not-inc, 26781, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -58, Private, 100960, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 203761, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 2354, 0, 40, United-States, <=50K -23, Private, 213811, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 124672, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 219300, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -22, Private, 270436, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 212619, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 193586, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 40, United-States, <=50K -40, Private, 84136, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -55, Federal-gov, 264834, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 98995, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 278254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 167987, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 72887, Bachelors, 13, Married-spouse-absent, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -17, Private, 176467, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -51, Self-emp-not-inc, 85902, 10th, 6, Widowed, Transport-moving, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 223433, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-inc, 108435, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 172496, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 241998, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 245948, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 2174, 0, 40, United-States, <=50K -23, Private, 187513, Assoc-voc, 11, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 440138, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, England, <=50K -24, Private, 218215, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -50, Private, 158948, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K -34, Private, 94413, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 183598, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 192664, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 392812, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -21, Private, 155818, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 195000, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 308205, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -53, Private, 104879, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 152307, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 145964, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 97419, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 40, United-States, <=50K -25, ?, 12285, Some-college, 10, Never-married, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -30, Private, 263150, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -49, ?, 189885, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 151888, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 254167, 10th, 6, Separated, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K -45, Local-gov, 331482, Assoc-acdm, 12, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Local-gov, 177189, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K -35, Private, 186886, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -20, Private, 33221, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -27, Private, 188171, 10th, 6, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 209770, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 164488, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K -65, Local-gov, 180869, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 190350, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Private, 137192, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1977, 50, South, >50K -45, Private, 204057, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -46, Private, 198774, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 323, 45, United-States, <=50K -67, Private, 134906, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -40, Private, 174515, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 259363, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -44, Self-emp-not-inc, 201742, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K -35, Private, 209609, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 185127, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 462838, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -37, Private, 176967, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Private, 284129, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Federal-gov, 37546, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Private, 116666, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 120724, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 40, United-States, <=50K -27, Private, 314240, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -49, Private, 423222, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -51, Private, 201127, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 202239, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 209629, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 165922, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -24, Private, 133520, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -66, ?, 99888, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 176410, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K -35, Federal-gov, 103214, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, >50K -34, Private, 122612, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 7688, 0, 50, Philippines, >50K -50, Private, 226735, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K -43, Self-emp-inc, 151089, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 244312, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, El-Salvador, <=50K -33, Private, 209317, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, El-Salvador, <=50K -48, Private, 99096, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1590, 38, United-States, <=50K -22, Private, 374116, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 36, United-States, <=50K -29, Private, 205249, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K -42, Self-emp-not-inc, 326083, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 183523, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Hungary, <=50K -36, Private, 350783, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -66, Local-gov, 140849, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 175943, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 20, United-States, <=50K -45, Local-gov, 125933, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Private, 225124, HS-grad, 9, Divorced, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 272090, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, El-Salvador, <=50K -48, Private, 40666, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 35245, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 167482, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 204662, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -32, Private, 291147, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 205100, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 352139, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 29, United-States, <=50K -39, Private, 111268, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 247111, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 271446, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -29, Local-gov, 132412, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 74712, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -22, Private, 94662, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -44, Self-emp-inc, 33126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K -43, Private, 133584, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 103759, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3942, 0, 40, United-States, <=50K -63, ?, 64448, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 374367, Assoc-voc, 11, Separated, Sales, Not-in-family, Black, Male, 0, 0, 44, United-States, <=50K -40, Private, 179666, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, Canada, <=50K -18, Private, 99219, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -57, Self-emp-inc, 180211, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Taiwan, >50K -54, Local-gov, 219276, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -44, Private, 150011, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 231231, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -40, Private, 182217, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Scotland, <=50K -29, Private, 277342, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 140001, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 99651, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -45, Private, 223319, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -52, Private, 235307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 206343, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, Cuba, <=50K -51, Local-gov, 156003, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 529223, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 0, 0, 10, United-States, <=50K -22, Private, 202871, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, United-States, <=50K -37, Private, 58337, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -58, Federal-gov, 298643, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -61, Private, 191188, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -30, Private, 96287, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -23, Private, 104443, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 323054, 10th, 6, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -18, Private, 95917, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, Canada, <=50K -34, Private, 238305, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1628, 12, ?, <=50K -23, Private, 49296, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 50953, Some-college, 10, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 10, United-States, <=50K -57, Private, 124507, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -58, Private, 239523, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -59, Self-emp-not-inc, 309124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 240172, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 105010, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Local-gov, 135056, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 16, ?, <=50K -25, Private, 178478, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 23871, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -22, Private, 362309, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 257781, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 1719, 30, United-States, <=50K -44, Private, 175669, 11th, 7, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 36, United-States, >50K -50, Private, 297906, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -44, Private, 230684, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, ?, 123011, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 170866, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Local-gov, 182543, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -60, Self-emp-not-inc, 236470, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 33725, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 188941, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3908, 0, 40, United-States, <=50K -43, Private, 206878, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -33, Local-gov, 173806, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 190709, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -41, Private, 149102, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K -21, Private, 25265, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 100669, Some-college, 10, Married-civ-spouse, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-inc, 114158, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 228057, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 54012, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 219967, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 239865, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, State-gov, 119421, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K -56, Self-emp-not-inc, 220187, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Local-gov, 33068, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K -41, Self-emp-not-inc, 277783, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2001, 50, United-States, <=50K -42, Private, 175515, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 271795, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 70055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 352806, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -57, Private, 266189, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -49, Private, 102945, 7th-8th, 4, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 173851, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 144092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 198681, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K -33, Private, 351810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K -52, Private, 180142, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Self-emp-inc, 175360, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Self-emp-inc, 224498, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 154641, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -54, Local-gov, 152540, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 42, United-States, <=50K -52, Private, 217663, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -22, Local-gov, 138575, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 56, United-States, <=50K -19, ?, 32477, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -65, Private, 101104, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 9386, 0, 10, United-States, >50K -32, Private, 44677, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 456618, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K -34, Private, 227282, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 27624, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -24, Private, 281403, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 98, United-States, <=50K -63, Federal-gov, 39181, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2559, 60, United-States, >50K -48, Private, 377140, 5th-6th, 3, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 35, Nicaragua, <=50K -26, Private, 299810, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 181916, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 237044, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 12, United-States, <=50K -57, Self-emp-inc, 123053, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 50, India, >50K -64, State-gov, 269512, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 44767, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, >50K -28, Private, 67218, 7th-8th, 4, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 176992, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 43712, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K -44, Private, 379919, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 104509, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 1639, 0, 20, United-States, <=50K -18, Private, 212370, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -36, Private, 179666, 12th, 8, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K -73, Self-emp-not-inc, 233882, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 2457, 40, Vietnam, <=50K -24, Private, 197387, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -29, Local-gov, 220656, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -33, Private, 181091, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Federal-gov, 135028, HS-grad, 9, Separated, Adm-clerical, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -41, Private, 185057, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -55, Private, 106498, 10th, 6, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -21, Private, 203003, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 223789, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 184026, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Other, Male, 0, 0, 50, United-States, <=50K -32, ?, 335427, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K -40, Private, 65866, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 213, 40, United-States, <=50K -32, Private, 372692, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 45607, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, State-gov, 303176, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2179, 40, United-States, <=50K -29, Private, 138190, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 1138, 40, United-States, <=50K -29, Self-emp-not-inc, 212895, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -59, Self-emp-inc, 31359, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 80, United-States, >50K -58, Private, 147989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 145290, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 262684, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 1504, 45, United-States, <=50K -31, Private, 132601, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 30759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -19, Private, 319889, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -66, Private, 29431, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 111483, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 184756, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -31, Private, 651396, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1594, 30, United-States, <=50K -30, Private, 187560, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 84848, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -75, ?, 36243, Doctorate, 16, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, State-gov, 88913, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 36, United-States, <=50K -19, Private, 73190, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -60, Private, 132529, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 214542, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 217006, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 169785, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -30, Private, 75573, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K -37, Private, 239171, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 53566, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 117109, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 24, United-States, <=50K -32, Private, 398019, 7th-8th, 4, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 15, Mexico, <=50K -18, Private, 114008, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -24, Private, 204653, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Local-gov, 254935, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K -76, ?, 84755, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -57, Local-gov, 198145, Masters, 14, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 14, United-States, >50K -53, Private, 174020, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1876, 38, United-States, <=50K -19, Private, 451951, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Local-gov, 172175, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 209472, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 336707, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -26, ?, 431861, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 156728, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Federal-gov, 290321, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, State-gov, 206577, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 149324, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 7, United-States, <=50K -33, ?, 49593, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 30, United-States, <=50K -50, Private, 98975, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -28, Private, 181659, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 174789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 102308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -39, Private, 184801, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 176014, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 256861, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K -37, Private, 239397, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -26, Private, 233777, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 236520, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 70754, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 245378, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 176729, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -32, Private, 154120, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K -43, Private, 88913, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Female, 1055, 0, 40, United-States, <=50K -19, Private, 517036, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K -38, Private, 436361, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K -38, Private, 231037, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K -65, Private, 209831, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -70, Self-emp-not-inc, 143833, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 40, United-States, >50K -48, ?, 167381, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 215468, Bachelors, 13, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 7, United-States, <=50K -32, Private, 200700, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Local-gov, 191777, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -49, Federal-gov, 195437, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 149396, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 104746, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 16, United-States, <=50K -19, Private, 108147, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -27, Private, 238859, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 23157, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -38, Private, 497788, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 141558, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Federal-gov, 117963, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K -30, Private, 232356, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 157941, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 103642, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 169727, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 274731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 161572, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K -38, Private, 48779, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 141511, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 314153, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K -30, Private, 168334, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 30, United-States, <=50K -42, Local-gov, 267252, Masters, 14, Separated, Exec-managerial, Unmarried, Black, Male, 0, 0, 45, United-States, >50K -31, Self-emp-not-inc, 312055, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -32, Private, 207937, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 232653, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 246841, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 154087, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 199011, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -51, Self-emp-not-inc, 205100, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K -36, Private, 177907, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 2176, 0, 20, ?, <=50K -24, Private, 50400, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 97064, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -21, Private, 65038, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 292472, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 1876, 45, Cambodia, <=50K -17, Private, 225211, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -45, Private, 320192, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, State-gov, 119421, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 625, 35, United-States, <=50K -21, Private, 83580, Some-college, 10, Never-married, Prof-specialty, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 4, United-States, <=50K -29, Private, 133696, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 45, United-States, >50K -39, Private, 141584, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K -42, Private, 529216, HS-grad, 9, Separated, Transport-moving, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 390817, 5th-6th, 3, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -21, ?, 85733, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 155976, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 221172, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -45, Private, 270842, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 82622, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 371064, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 54744, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K -29, Private, 22641, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 45, United-States, <=50K -21, Private, 218957, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 441637, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 143699, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 183096, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 97176, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -38, Self-emp-not-inc, 122493, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -22, Private, 311376, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 78928, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 3137, 0, 40, United-States, <=50K -62, Private, 123582, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Federal-gov, 174215, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -36, Private, 183902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 4, United-States, >50K -43, Private, 247880, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 256636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, ?, 152875, Bachelors, 13, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K -28, Private, 22422, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -49, ?, 178215, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 28, United-States, <=50K -47, Local-gov, 194360, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 7, United-States, >50K -59, Private, 247187, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 63921, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 224889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 178564, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 47619, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 92775, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -37, Private, 50837, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -20, Local-gov, 235894, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 244974, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, Local-gov, 526734, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -38, Self-emp-not-inc, 243484, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 28, United-States, >50K -23, Private, 201664, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 234640, HS-grad, 9, Married-spouse-absent, Sales, Own-child, White, Female, 0, 0, 36, United-States, <=50K -46, Private, 268022, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Local-gov, 223267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Self-emp-not-inc, 99199, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 137076, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 115411, Some-college, 10, Divorced, Sales, Own-child, White, Male, 2174, 0, 45, United-States, <=50K -51, Private, 313146, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -69, Self-emp-not-inc, 29980, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, White, Male, 1848, 0, 10, United-States, <=50K -39, Self-emp-inc, 543042, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 50, United-States, >50K -43, Private, 271807, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Federal-gov, 97934, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 5178, 0, 40, United-States, >50K -43, Private, 191196, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 264627, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 84, United-States, <=50K -32, Private, 183801, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 209227, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 21, United-States, <=50K -64, Private, 216208, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 377095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 317535, 1st-4th, 2, Married-civ-spouse, Protective-serv, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -40, Private, 247880, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 152246, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -23, Private, 428299, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 161708, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 167859, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -61, Private, 85194, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 25, United-States, <=50K -47, Self-emp-inc, 119471, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, Other, Male, 0, 0, 40, ?, <=50K -39, Private, 117683, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 139347, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K -25, Private, 427744, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 122116, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, State-gov, 227931, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -54, Self-emp-not-inc, 226497, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 83783, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 197113, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 50, Puerto-Rico, <=50K -33, Private, 204742, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -63, ?, 331527, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K -31, Private, 213179, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -70, Self-emp-inc, 188260, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K -43, Private, 298161, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Nicaragua, <=50K -36, Private, 143774, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 12, United-States, >50K -50, Local-gov, 139296, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 152389, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -31, Private, 309974, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, ?, 37085, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -39, Private, 270059, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 130045, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 188038, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 168203, 7th-8th, 4, Never-married, Farming-fishing, Other-relative, Other, Male, 0, 0, 40, Mexico, <=50K -46, Private, 171807, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 186696, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 177531, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 23, United-States, <=50K -28, Private, 115464, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 501144, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -61, Local-gov, 180079, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 40, United-States, <=50K -18, Private, 205894, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, ?, <=50K -39, Self-emp-not-inc, 218490, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 50, ?, >50K -24, Local-gov, 203924, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 91857, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K -38, Private, 229700, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -17, Private, 158704, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 190911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 139176, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K -61, Private, 119684, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 20, United-States, >50K -69, Private, 124930, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2267, 40, United-States, <=50K -19, Private, 168693, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 250038, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Self-emp-inc, 353927, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -70, Private, 216390, 9th, 5, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 2653, 0, 40, United-States, <=50K -21, Private, 230248, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -43, Private, 117728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -52, Private, 115851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 193335, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 203894, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 100109, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -55, State-gov, 157639, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Self-emp-inc, 235320, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -36, Private, 127686, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -39, Private, 28572, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 48, United-States, <=50K -78, ?, 91534, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K -30, Private, 184687, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K -22, Private, 267945, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -43, Private, 131899, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 192614, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -36, Private, 186808, Bachelors, 13, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K -50, Private, 44116, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Federal-gov, 46442, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -46, Federal-gov, 78022, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 417668, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 223763, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 223851, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 24, United-States, <=50K -38, Local-gov, 115634, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 114459, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 197093, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -31, Self-emp-not-inc, 357145, Doctorate, 16, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 48, United-States, <=50K -29, Private, 59231, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K -26, Private, 292303, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 122288, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -26, Federal-gov, 52322, Bachelors, 13, Never-married, Tech-support, Not-in-family, Other, Male, 0, 0, 60, United-States, <=50K -27, Local-gov, 105830, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -36, Private, 107125, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Federal-gov, 281860, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 283320, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, State-gov, 26598, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 220783, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -21, ?, 121694, 7th-8th, 4, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 208302, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 34, United-States, <=50K -34, Local-gov, 172664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 54611, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -64, Private, 631947, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 394484, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, ?, 239120, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K -38, Federal-gov, 37683, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 99999, 0, 57, Canada, >50K -47, Local-gov, 193012, Masters, 14, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K -48, Private, 143098, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, China, >50K -57, Private, 84888, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 188503, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -37, Private, 337778, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 94432, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, >50K -32, Private, 168906, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 116143, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 128272, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 14, United-States, <=50K -64, Federal-gov, 301383, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 45, United-States, >50K -46, Private, 174995, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -24, State-gov, 289909, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 154641, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -23, Private, 209034, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 3942, 0, 40, United-States, <=50K -30, Private, 203488, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -34, Private, 141118, Masters, 14, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, >50K -30, Private, 169589, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 137645, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -58, Local-gov, 489085, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 36302, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 253420, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -35, Private, 269300, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 282609, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, Honduras, <=50K -46, Private, 346978, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -71, Private, 182395, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 11678, 0, 45, United-States, >50K -44, Private, 205051, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 128736, 10th, 6, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 236110, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K -38, Private, 312271, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 126978, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K -47, Private, 204692, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 195956, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -59, State-gov, 202682, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 231912, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 37, United-States, <=50K -44, Local-gov, 24982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -76, Private, 278938, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -50, Local-gov, 36489, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Local-gov, 154874, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 74581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -27, Private, 311446, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 5178, 0, 40, United-States, >50K -37, Self-emp-inc, 162164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 239708, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -49, Self-emp-not-inc, 162856, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 85109, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -49, Private, 169042, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 625, 40, Puerto-Rico, <=50K -22, Private, 436798, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 345363, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K -36, Private, 49837, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, ?, 296516, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, State-gov, 180283, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -40, Local-gov, 95639, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -42, Private, 33155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 329059, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, >50K -55, Private, 24694, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 443855, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -52, ?, 294691, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 301867, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K -55, Private, 226875, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K -47, Private, 362835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 180339, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 65, United-States, <=50K -55, Self-emp-inc, 207489, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, Germany, <=50K -43, Private, 336643, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 143653, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -62, State-gov, 101475, Assoc-acdm, 12, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 263871, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 8, United-States, <=50K -38, Self-emp-not-inc, 77820, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 95465, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -26, Private, 257910, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 244372, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 52, United-States, >50K -37, Self-emp-not-inc, 126738, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K -79, Self-emp-inc, 97082, 12th, 8, Widowed, Sales, Not-in-family, White, Male, 18481, 0, 45, United-States, >50K -61, Private, 133164, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -28, Self-emp-not-inc, 104617, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Female, 0, 0, 99, Mexico, <=50K -60, Self-emp-inc, 105339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K -51, Self-emp-inc, 258735, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 81, United-States, <=50K -34, Private, 182926, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K -35, Private, 166193, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 206125, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 346594, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 108301, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 73498, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 129150, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, >50K -27, Private, 181280, Masters, 14, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -40, Private, 146908, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -43, Private, 183765, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, ?, >50K -25, Private, 164488, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 307468, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 93884, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 279833, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2258, 45, United-States, >50K -52, Private, 137658, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K -32, Private, 101562, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -33, Private, 136331, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 259846, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -48, Private, 98719, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -62, Self-emp-not-inc, 168682, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, <=50K -40, Self-emp-not-inc, 198953, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 2, United-States, <=50K -41, ?, 29115, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 173673, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -23, Private, 67958, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -50, Federal-gov, 98980, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -51, State-gov, 94174, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -63, Self-emp-not-inc, 122442, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K -63, Federal-gov, 154675, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 116632, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -20, ?, 238685, 11th, 7, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, ?, 139391, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 30, United-States, >50K -40, Private, 169031, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 237452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 15, Cuba, >50K -41, Private, 216968, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -27, ?, 216479, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 24, United-States, >50K -20, State-gov, 126822, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -28, Private, 51461, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K -35, Private, 54953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 222654, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 37676, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -57, Private, 159319, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 125321, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 209609, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 224947, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 438427, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 384276, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 196805, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 65, United-States, <=50K -27, Private, 242097, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 184306, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 161954, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -65, Private, 258561, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -57, Self-emp-not-inc, 95280, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 45, United-States, >50K -59, Private, 212783, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -18, Private, 205004, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 26, United-States, <=50K -44, Local-gov, 387844, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 83880, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 161155, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 265698, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -59, Self-emp-inc, 146477, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 97261, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 437890, HS-grad, 9, Never-married, Exec-managerial, Unmarried, Black, Male, 0, 0, 90, United-States, <=50K -68, Self-emp-not-inc, 133736, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K -63, Private, 169983, 11th, 7, Widowed, Sales, Not-in-family, White, Female, 2176, 0, 30, United-States, <=50K -37, Private, 126675, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, <=50K -46, Local-gov, 175754, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 60, United-States, <=50K -31, Private, 121768, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Poland, <=50K -23, Private, 180052, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 124454, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -49, Private, 190115, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 44, United-States, <=50K -36, Private, 222584, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 22245, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -46, Local-gov, 114160, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 45, United-States, >50K -24, Private, 228960, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 132572, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 103020, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, Other, Female, 0, 0, 40, Puerto-Rico, <=50K -40, Private, 187802, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K -31, Local-gov, 50649, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -42, Private, 137698, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K -48, Self-emp-inc, 30575, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K -56, Private, 202220, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -50, Private, 50178, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 207791, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -21, Private, 540712, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 1719, 25, United-States, <=50K -50, Private, 321770, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 202053, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -34, Private, 143699, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K -32, Self-emp-not-inc, 115066, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -28, Private, 223751, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Self-emp-inc, 354075, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 32732, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -24, State-gov, 390867, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 101697, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 279721, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 223400, Assoc-acdm, 12, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 35, Poland, <=50K -46, ?, 206357, 5th-6th, 3, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K -39, Private, 76417, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -48, ?, 184682, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K -21, Private, 78170, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -39, Private, 201410, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 189013, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 119913, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 549174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Local-gov, 214706, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, ?, 33811, Bachelors, 13, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 40, Taiwan, >50K -43, Private, 234220, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Cuba, <=50K -22, Private, 237720, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 185942, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K -69, Local-gov, 286983, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 140027, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -18, ?, 115258, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K -54, Private, 155408, HS-grad, 9, Widowed, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -65, ?, 117963, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 158737, 12th, 8, Married-civ-spouse, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 40, Ecuador, <=50K -27, Local-gov, 199471, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 38, United-States, <=50K -35, Private, 287701, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, >50K -38, Private, 137707, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -33, State-gov, 108116, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 366900, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 187355, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 60, Canada, >50K -38, Private, 33105, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 70, United-States, >50K -51, Self-emp-not-inc, 268639, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 2057, 60, Canada, <=50K -26, Private, 358975, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, Hungary, <=50K -33, Private, 199227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -44, Private, 248249, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 460437, 9th, 5, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 187294, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 115932, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 181762, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 55, United-States, >50K -21, Private, 27049, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 806552, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 150755, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, Canada, >50K -62, Private, 69867, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K -27, Private, 160786, 11th, 7, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Germany, <=50K -38, Private, 219546, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 24872, Some-college, 10, Separated, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 30, United-States, <=50K -24, Private, 110371, 12th, 8, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -24, ?, 376474, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 304602, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, ?, 143699, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 238917, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 24, Mexico, <=50K -51, Private, 200618, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 183043, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K -42, Local-gov, 209752, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -48, ?, 175653, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Female, 14084, 0, 40, United-States, >50K -49, Private, 196707, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 43, United-States, >50K -37, Local-gov, 98725, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 42, United-States, <=50K -37, Self-emp-not-inc, 180150, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -66, Private, 151227, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -18, ?, 118847, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K -46, Private, 282538, Assoc-voc, 11, Separated, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 89534, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 291011, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 166187, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 38, United-States, >50K -19, Private, 188669, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -37, Private, 178948, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -42, Self-emp-inc, 188738, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, Italy, >50K -39, Self-emp-not-inc, 160808, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -54, Private, 93605, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K -46, Private, 318331, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, ?, 109921, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -33, Private, 87605, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -69, Self-emp-not-inc, 89477, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K -21, Private, 48301, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 220748, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 48, United-States, <=50K -39, Private, 387068, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 250743, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 78258, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -42, Private, 31387, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -36, Private, 289190, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 604537, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -35, Private, 328466, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -42, Private, 403187, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 219546, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 44, United-States, >50K -41, Private, 220531, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 204648, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 201908, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -44, ?, 109912, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 16, United-States, >50K -18, Private, 365683, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -41, Private, 175674, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 203488, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 106406, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 172756, 1st-4th, 2, Widowed, Machine-op-inspct, Not-in-family, White, Female, 2062, 0, 34, Ecuador, <=50K -37, Private, 125167, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Private, 249339, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 94652, Some-college, 10, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -40, Private, 195394, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -25, Private, 130302, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 66686, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 336042, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 193586, Some-college, 10, Separated, Farming-fishing, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 325461, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -60, Local-gov, 313852, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -38, Local-gov, 30509, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 55, United-States, <=50K -21, Local-gov, 32639, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -18, Private, 234953, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -49, Private, 120629, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 27828, 0, 60, United-States, >50K -43, Private, 350379, 5th-6th, 3, Divorced, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -26, ?, 176967, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -36, Private, 36423, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 25, United-States, >50K -31, Private, 123397, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 5178, 0, 35, United-States, >50K -38, Private, 130813, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 35236, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K -58, Private, 33350, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -55, Private, 177380, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 29, United-States, <=50K -39, Private, 216129, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, Jamaica, <=50K -38, Private, 335104, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -54, Self-emp-not-inc, 199741, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 2001, 35, United-States, <=50K -57, Self-emp-inc, 165881, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 387777, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, <=50K -44, Self-emp-not-inc, 149943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Taiwan, >50K -36, Private, 188834, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 290661, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 155603, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 2205, 40, United-States, <=50K -25, Private, 114838, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, Italy, <=50K -54, Local-gov, 168553, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 103064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 123833, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -60, Federal-gov, 55621, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -66, Local-gov, 189834, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -36, Private, 217926, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 50, United-States, <=50K -29, Self-emp-not-inc, 341672, HS-grad, 9, Married-spouse-absent, Transport-moving, Other-relative, Asian-Pac-Islander, Male, 0, 1564, 50, India, >50K -29, Private, 163003, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 2202, 0, 40, Taiwan, <=50K -25, Private, 194352, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -62, ?, 54878, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 393248, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 279315, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 392812, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Self-emp-inc, 34998, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -57, Self-emp-inc, 51016, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -57, Local-gov, 132717, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 186078, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -37, Self-emp-inc, 196123, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -43, Self-emp-inc, 304906, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 41521, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 346847, Assoc-voc, 11, Separated, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 107233, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -39, Private, 150125, Assoc-acdm, 12, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 400535, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 409622, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 36, Mexico, <=50K -27, Private, 136448, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 202950, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Iran, <=50K -40, Local-gov, 197012, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Female, 8614, 0, 40, England, >50K -57, Private, 237691, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -24, Private, 170277, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 160784, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 33798, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 197838, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 223212, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 125762, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, >50K -20, Private, 283969, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 15, United-States, <=50K -25, Private, 374163, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 60, Mexico, <=50K -49, State-gov, 118567, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 147655, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -45, Private, 82797, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -36, Local-gov, 142573, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Private, 235167, 5th-6th, 3, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female, 0, 0, 32, Mexico, <=50K -23, Private, 53245, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1602, 12, United-States, <=50K -47, Private, 28035, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 247082, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 123397, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Local-gov, 133327, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 102270, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -64, ?, 45817, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 240988, 9th, 5, Married-civ-spouse, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -19, Private, 386378, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -31, State-gov, 350651, 12th, 8, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -18, State-gov, 76142, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K -68, Private, 73773, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -50, ?, 281504, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 293358, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -44, Private, 146906, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -58, Self-emp-not-inc, 331474, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -20, Private, 213719, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -18, Private, 101795, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 228265, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K -49, Self-emp-not-inc, 130206, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 324254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 189666, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 139086, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 359327, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, <=50K -44, Self-emp-not-inc, 75065, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Vietnam, <=50K -55, Private, 139843, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -21, Private, 34310, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2603, 40, United-States, <=50K -54, Private, 346014, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Local-gov, 163278, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 2202, 0, 44, United-States, <=50K -52, Private, 31460, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -57, Self-emp-inc, 33725, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -67, ?, 63552, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -58, State-gov, 300623, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 177072, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 16, United-States, <=50K -66, ?, 37331, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -41, Private, 167725, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 131180, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 16, United-States, <=50K -58, Private, 275859, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 8614, 0, 52, Mexico, >50K -50, Private, 275181, 5th-6th, 3, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, Cuba, <=50K -31, Private, 398988, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 222654, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 111129, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -26, Self-emp-not-inc, 137795, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -33, Local-gov, 242150, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, State-gov, 237873, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 367749, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K -26, Private, 206600, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -48, Federal-gov, 247043, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 187702, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 41718, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 151835, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -18, Private, 118938, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K -48, Private, 224870, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, Other, Female, 0, 0, 38, Ecuador, <=50K -45, Private, 178341, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 61343, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 36989, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 226296, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 51, United-States, <=50K -29, Private, 186624, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Cuba, <=50K -19, Private, 172582, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -53, State-gov, 227392, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 187563, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -71, Private, 137499, HS-grad, 9, Widowed, Sales, Other-relative, White, Female, 0, 0, 16, United-States, <=50K -38, Private, 239397, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, Mexico, <=50K -39, Local-gov, 327164, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 140798, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Self-emp-inc, 187450, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 194580, 5th-6th, 3, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 372682, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -20, Private, 235442, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -30, Private, 128065, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 91545, 10th, 6, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -26, Private, 154604, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Federal-gov, 192150, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 216522, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 42, United-States, <=50K -58, Private, 156040, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1848, 40, United-States, >50K -24, Private, 206861, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 97632, Some-college, 10, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 32, United-States, <=50K -27, Private, 189530, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -28, State-gov, 381789, Some-college, 10, Separated, Exec-managerial, Own-child, White, Male, 0, 2339, 40, United-States, <=50K -57, Self-emp-inc, 368797, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 41183, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -50, Private, 191062, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 132963, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 153551, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -27, Self-emp-not-inc, 66473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 240323, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 17, United-States, <=50K -68, Local-gov, 242095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 40, United-States, >50K -33, Self-emp-inc, 128016, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 29526, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 18, United-States, <=50K -26, Private, 342953, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 215476, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -53, Private, 231919, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 52537, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K -18, Private, 27920, 11th, 7, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 25, United-States, <=50K -53, Private, 153052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 199303, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 233369, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 345789, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K -60, Private, 238913, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, >50K -28, Self-emp-not-inc, 195607, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 245173, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 1669, 45, United-States, <=50K -37, Private, 138441, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 67467, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 102569, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K -21, Private, 213341, 11th, 7, Married-spouse-absent, Handlers-cleaners, Own-child, White, Male, 0, 1762, 40, Dominican-Republic, <=50K -26, Private, 37202, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -47, Private, 140219, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 298860, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -22, Private, 51362, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -36, Private, 199947, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -59, Self-emp-not-inc, 32552, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -33, Private, 183845, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, El-Salvador, <=50K -33, Private, 181091, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, England, <=50K -53, Self-emp-inc, 135643, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 50, South, <=50K -44, State-gov, 96249, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 40, United-States, <=50K -55, Private, 181220, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 133025, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -54, Self-emp-not-inc, 124865, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -51, Private, 45599, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 194293, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 2463, 0, 38, United-States, <=50K -43, Private, 102180, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 121130, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 138768, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K -43, State-gov, 98989, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 126327, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 113364, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 18, United-States, <=50K -30, Private, 326199, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2580, 0, 40, United-States, <=50K -46, Private, 376789, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -27, Private, 137063, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 279145, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 178815, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -25, Self-emp-not-inc, 245369, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -30, Federal-gov, 49593, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -46, State-gov, 238648, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 7298, 0, 40, United-States, >50K -47, Private, 166181, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 48, United-States, >50K -66, Self-emp-inc, 249043, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 5556, 0, 26, United-States, >50K -43, Private, 156403, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, ?, 128529, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -36, Federal-gov, 186934, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1848, 55, United-States, >50K -46, ?, 148489, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -44, Local-gov, 387770, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -42, Private, 115511, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 201410, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1977, 45, Philippines, >50K -36, Private, 220585, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -60, Self-emp-not-inc, 282066, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 45, United-States, >50K -37, Private, 280966, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 291586, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 142227, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -17, ?, 104025, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 18, United-States, <=50K -45, Local-gov, 148254, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -54, Private, 170562, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -22, Private, 222490, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -63, Local-gov, 57674, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K -22, Private, 233624, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -27, Private, 42734, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -33, Private, 233107, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 33, Mexico, <=50K -64, Private, 143110, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -50, Private, 195844, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Self-emp-not-inc, 115896, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 303851, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 172475, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -53, Self-emp-not-inc, 30008, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -33, Local-gov, 147921, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Federal-gov, 172716, 12th, 8, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 155057, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -43, ?, 152569, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 2339, 36, United-States, <=50K -80, Self-emp-not-inc, 132728, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 195136, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -40, Private, 377322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -53, Local-gov, 293941, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 182123, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K -38, Private, 32528, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 140206, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Local-gov, 378221, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Mexico, >50K -23, Private, 211601, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 119411, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -52, Self-emp-not-inc, 240013, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -24, Private, 95552, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 183710, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 189382, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -52, Private, 380633, 5th-6th, 3, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -54, Private, 53407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 150480, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -40, Private, 175674, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 375313, HS-grad, 9, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K -21, ?, 278391, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K -23, Private, 212888, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 487085, 7th-8th, 4, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 174461, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -55, Local-gov, 133201, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -71, Private, 77253, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 17, United-States, <=50K -47, Private, 141511, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -17, Self-emp-inc, 181608, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K -31, Private, 127610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -32, Private, 154571, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -46, Private, 33842, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 40, United-States, >50K -27, Private, 150080, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Federal-gov, 30916, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -40, Private, 151294, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -30, Private, 48829, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1602, 30, United-States, <=50K -17, Private, 193769, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -33, Private, 277455, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -72, Private, 225780, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -34, Federal-gov, 436341, Some-college, 10, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -65, Private, 255386, HS-grad, 9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K -36, Private, 174938, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K -32, Private, 174789, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 245628, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -22, Private, 228752, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 354148, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 48, United-States, >50K -31, Private, 192900, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 190391, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 353263, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, Italy, >50K -34, Private, 113198, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 28, United-States, <=50K -44, Private, 207578, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -27, Private, 93206, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 163998, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K -47, Private, 111961, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K -20, Private, 219122, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 111445, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -29, Federal-gov, 309778, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Local-gov, 223020, Assoc-voc, 11, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -42, Private, 303155, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 41035, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -68, Private, 159191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Local-gov, 244408, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -72, Self-emp-not-inc, 473748, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -45, Federal-gov, 71823, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 20, United-States, <=50K -30, Local-gov, 83066, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 150154, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 190786, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 178033, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 4416, 0, 60, United-States, <=50K -25, Self-emp-not-inc, 159909, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 190885, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K -25, Private, 243786, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -31, State-gov, 124020, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 159016, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K -37, Private, 183800, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Self-emp-not-inc, 193434, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 245029, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 98746, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, Canada, >50K -46, Federal-gov, 140664, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -44, Private, 344920, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1617, 20, United-States, <=50K -44, Private, 169980, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, <=50K -28, State-gov, 155397, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -42, Private, 245317, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 74182, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 280570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -64, Self-emp-not-inc, 30664, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 109952, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -45, Local-gov, 192793, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 243442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Federal-gov, 106297, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 328060, 9th, 5, Separated, Other-service, Unmarried, Other, Female, 0, 0, 40, Mexico, <=50K -33, Self-emp-not-inc, 48702, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K -51, Self-emp-not-inc, 111283, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 99999, 0, 35, United-States, >50K -36, Private, 484024, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 208470, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 172032, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 51, United-States, >50K -40, Private, 29927, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, England, <=50K -46, Private, 98012, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 108468, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -30, Private, 207301, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K -26, Private, 168403, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 66935, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 42044, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 184806, Prof-school, 15, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 1455435, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 445382, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 278576, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K -79, Self-emp-not-inc, 84979, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K -36, Private, 659504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K -44, Private, 136986, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 278107, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1573, 30, United-States, <=50K -27, Private, 96219, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -46, Self-emp-not-inc, 131091, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -58, Private, 205410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 416745, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -36, Private, 180667, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 60, United-States, >50K -21, Private, 72119, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -41, State-gov, 108945, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K -49, Federal-gov, 195949, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 101345, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -29, Private, 439263, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 35, Peru, <=50K -63, Private, 213095, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Federal-gov, 59932, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 172815, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 40915, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -42, Private, 139012, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K -44, Private, 121781, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 37, United-States, <=50K -51, ?, 130667, HS-grad, 9, Separated, ?, Not-in-family, Black, Male, 0, 0, 6, United-States, <=50K -41, Self-emp-not-inc, 147110, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 25, United-States, <=50K -22, Local-gov, 237811, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, Haiti, <=50K -36, ?, 128640, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K -18, Private, 111476, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Local-gov, 289716, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 141944, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -49, Private, 323773, 11th, 7, Married-civ-spouse, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -41, State-gov, 176663, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 155233, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 143327, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Federal-gov, 177212, Some-college, 10, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 123088, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Local-gov, 47085, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 102106, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 235894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, Self-emp-not-inc, 172046, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Self-emp-not-inc, 197207, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 152452, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 172928, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -36, ?, 214896, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -49, Private, 116338, HS-grad, 9, Separated, Prof-specialty, Unmarried, White, Female, 0, 653, 60, United-States, <=50K -48, Private, 276664, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -22, Private, 59924, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 194141, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 1617, 40, United-States, <=50K -51, Private, 95128, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 292504, Some-college, 10, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 45796, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 119359, Prof-school, 15, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female, 15024, 0, 40, South, >50K -52, State-gov, 104280, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 172291, HS-grad, 9, Divorced, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 180988, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K -52, Private, 110748, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -59, ?, 556688, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -36, Private, 22494, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 267859, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K -67, Local-gov, 256821, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -31, Self-emp-not-inc, 117346, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -31, Private, 62374, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 314659, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -72, ?, 114761, 7th-8th, 4, Widowed, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -36, Private, 93225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 165315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K -56, Private, 124771, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 27408, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 198841, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 271792, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 64289, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 183390, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 240771, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 50, United-States, >50K -30, Private, 234919, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K -20, Private, 88231, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 154422, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -37, Private, 119098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -53, State-gov, 151580, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 40, United-States, >50K -54, Private, 118793, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, ?, 30499, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -34, ?, 166545, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 7688, 0, 6, United-States, >50K -30, Private, 271710, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K -43, State-gov, 308498, HS-grad, 9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 172695, Assoc-voc, 11, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 29962, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -62, Private, 200332, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 291702, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 67234, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 168038, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 32, United-States, <=50K -34, Private, 137814, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -64, Private, 126233, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -42, Self-emp-not-inc, 79036, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K -60, Self-emp-not-inc, 327474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -44, Private, 145160, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 58, United-States, <=50K -67, ?, 37092, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K -45, Private, 129387, Assoc-acdm, 12, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, ?, <=50K -53, Self-emp-not-inc, 33304, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -37, Private, 359001, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 50, United-States, >50K -32, ?, 143162, 10th, 6, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 133515, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -28, Private, 168901, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K -55, Private, 750972, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K -58, Private, 142924, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, >50K -74, Self-emp-inc, 228075, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 25, United-States, >50K -27, Private, 91189, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 290609, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -22, ?, 31102, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 4, South, <=50K -44, Self-emp-not-inc, 216921, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, United-States, <=50K -23, Private, 120046, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 324629, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K -45, Private, 81132, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, >50K -29, Private, 160279, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 229732, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -61, Local-gov, 144723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K -29, Private, 148431, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, Other, Female, 7688, 0, 45, United-States, >50K -22, Private, 160398, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 38, United-States, <=50K -28, Private, 129460, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K -30, Private, 252752, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 58222, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -28, ?, 424884, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -45, Private, 114459, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -19, ?, 46400, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -42, Private, 223934, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 84119, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 159123, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 195532, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 191299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 198316, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 162301, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -35, Private, 143152, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3908, 0, 27, United-States, <=50K -24, Private, 92609, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 247819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -27, Local-gov, 229223, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, >50K -45, Self-emp-inc, 142719, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -80, Private, 86111, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -23, State-gov, 35633, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 164749, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 607848, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 173630, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -90, Private, 311184, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, ?, <=50K -55, Private, 49737, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -72, Private, 183616, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, England, <=50K -65, Private, 129426, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 454915, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 55568, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 29874, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 393715, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -50, Private, 143953, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -54, Private, 90363, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 53727, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -30, Private, 130021, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K -50, Private, 173630, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 410351, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 399386, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 53, United-States, <=50K -55, Private, 157932, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 133061, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 46400, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -21, Private, 107895, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -39, Private, 63021, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -43, Private, 186144, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Local-gov, 27959, HS-grad, 9, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -26, Private, 179569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, State-gov, 101299, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, State-gov, 113129, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 65, United-States, <=50K -32, Private, 316470, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, Mexico, <=50K -60, Self-emp-not-inc, 89884, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 32121, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 315303, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -27, Private, 254500, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -33, Private, 419895, 5th-6th, 3, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -43, Private, 159549, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 160786, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -18, Self-emp-not-inc, 258474, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 370119, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 50837, 7th-8th, 4, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 137506, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 548256, 12th, 8, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7688, 0, 40, United-States, >50K -42, Local-gov, 175642, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 99999, 0, 40, United-States, >50K -24, Private, 183594, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 341353, Bachelors, 13, Never-married, Other-service, Other-relative, White, Male, 0, 0, 15, United-States, <=50K -43, Self-emp-inc, 247981, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 5455, 0, 50, United-States, <=50K -34, Private, 193565, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 39606, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 127149, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K -31, ?, 233371, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 45, United-States, <=50K -49, Self-emp-not-inc, 182752, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K -26, Private, 269060, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 179949, HS-grad, 9, Divorced, Transport-moving, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -22, Federal-gov, 32950, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 37, United-States, <=50K -26, Private, 160445, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 223999, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1848, 40, United-States, >50K -39, Private, 81487, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 625, 40, United-States, <=50K -23, Private, 314539, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 337721, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -42, Local-gov, 100793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -39, Federal-gov, 255407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Federal-gov, 92775, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 33308, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -68, State-gov, 493363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -30, ?, 159589, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 46, United-States, >50K -32, Private, 107218, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -25, Private, 123586, Some-college, 10, Never-married, Adm-clerical, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K -53, Private, 158352, 5th-6th, 3, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 24, Italy, <=50K -38, Private, 76317, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -62, ?, 176753, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 122346, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 463194, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 162228, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 115005, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, State-gov, 183285, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 36, United-States, <=50K -34, Private, 169605, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -24, Private, 450695, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -44, Local-gov, 124692, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -19, Private, 63918, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 102569, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 289309, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -45, Private, 101825, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -43, Private, 206833, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -22, ?, 77873, 9th, 5, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -50, Private, 145333, Doctorate, 16, Divorced, Prof-specialty, Other-relative, White, Male, 10520, 0, 50, United-States, >50K -72, ?, 194548, Some-college, 10, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K -29, Private, 206351, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 198200, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 140001, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, El-Salvador, <=50K -22, ?, 287988, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -21, Private, 143604, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 146161, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -37, Private, 196529, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 2354, 0, 40, ?, <=50K -74, Self-emp-not-inc, 192413, Prof-school, 15, Divorced, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -70, Self-emp-not-inc, 139889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2653, 0, 70, United-States, <=50K -27, Private, 104917, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 161478, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 46, United-States, <=50K -30, Private, 35644, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Local-gov, 116751, Assoc-voc, 11, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 56, United-States, <=50K -18, Private, 238867, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1602, 40, United-States, <=50K -31, Private, 265706, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -39, State-gov, 179668, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, <=50K -21, Private, 57951, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -31, Private, 176711, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K -33, Local-gov, 368675, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 216149, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -29, Private, 173851, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 90705, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1485, 40, United-States, <=50K -52, State-gov, 216342, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -35, Private, 140752, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -33, Private, 116508, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, ?, 224361, 9th, 5, Divorced, ?, Unmarried, White, Female, 0, 0, 5, Cuba, <=50K -43, Private, 180303, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -66, ?, 196736, 1st-4th, 2, Never-married, ?, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -51, Local-gov, 110327, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 185607, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -17, Local-gov, 244856, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 198068, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 97136, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, Self-emp-inc, 164658, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K -54, Private, 235693, 11th, 7, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -45, Private, 197038, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -47, Local-gov, 97419, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 208872, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1672, 98, United-States, <=50K -32, Private, 205528, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-inc, 146042, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Self-emp-inc, 222641, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-inc, 376936, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -42, Local-gov, 138077, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, >50K -24, Private, 155913, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, <=50K -45, Private, 36006, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 214678, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -46, Private, 369538, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 166565, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 257043, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -47, Self-emp-inc, 181130, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -69, ?, 254834, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 10605, 0, 10, United-States, >50K -43, Self-emp-not-inc, 38876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 187073, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Federal-gov, 156996, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2415, 55, ?, >50K -90, Private, 313749, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K -41, Private, 331651, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, Japan, >50K -24, Private, 243368, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K -24, Private, 32921, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 117167, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 53, United-States, <=50K -35, Private, 401930, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1887, 42, United-States, >50K -30, Private, 114691, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 99385, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Local-gov, 210308, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1721, 30, United-States, <=50K -39, Private, 252327, 9th, 5, Separated, Craft-repair, Own-child, White, Male, 0, 0, 35, Mexico, <=50K -43, Private, 90582, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 190194, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 264188, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -34, Private, 243776, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 67065, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 204209, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 226668, HS-grad, 9, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K -34, Self-emp-inc, 174215, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 4787, 0, 45, France, >50K -33, Private, 315143, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Cuba, >50K -37, Private, 118681, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 38, Puerto-Rico, <=50K -39, Self-emp-not-inc, 208109, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -58, Private, 116901, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -36, Self-emp-not-inc, 405644, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K -33, Federal-gov, 293550, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 4064, 0, 40, United-States, <=50K -42, Local-gov, 328581, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -31, Private, 217962, Some-college, 10, Never-married, Protective-serv, Other-relative, Black, Male, 0, 0, 40, ?, <=50K -57, Private, 158827, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -67, Federal-gov, 65475, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 159709, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 140474, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -43, Private, 144778, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, Italy, >50K -39, Self-emp-not-inc, 83242, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 143385, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Local-gov, 167544, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 13, United-States, <=50K -25, Private, 122175, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 378747, 10th, 6, Separated, Transport-moving, Unmarried, Black, Male, 0, 0, 45, United-States, >50K -24, Private, 230475, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -50, Self-emp-inc, 120781, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, >50K -70, Private, 206232, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 298400, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Male, 4787, 0, 48, United-States, >50K -51, Federal-gov, 163671, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, <=50K -38, Self-emp-not-inc, 140583, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -51, Private, 137253, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -28, Private, 246974, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 182470, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K -57, Self-emp-inc, 107617, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -44, Self-emp-inc, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 50, ?, >50K -29, Private, 250819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 196508, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 367533, 10th, 6, Married-civ-spouse, Craft-repair, Own-child, Other, Male, 0, 0, 43, United-States, >50K -74, Private, 188709, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -50, Private, 271160, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 173674, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 14, United-States, <=50K -64, ?, 257790, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -44, Private, 322391, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -34, Private, 209691, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 50, United-States, >50K -17, Private, 104232, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -17, ?, 86786, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 88233, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 240888, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 169719, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 40, United-States, >50K -20, Private, 129240, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 160968, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -34, Private, 236861, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 109282, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -32, Private, 215047, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 115932, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Ireland, >50K -28, Private, 55360, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -44, Private, 224658, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Local-gov, 376302, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, Nicaragua, >50K -28, Private, 183597, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 594, 0, 50, Germany, <=50K -37, Private, 115289, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 258883, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 69132, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 207301, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 179671, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 140456, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 327397, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K -60, Private, 200235, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 108435, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 2829, 0, 30, United-States, <=50K -47, Private, 195978, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 329144, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -48, Self-emp-inc, 250674, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -57, ?, 176897, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K -50, Self-emp-inc, 132716, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K -62, Private, 174201, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -45, Private, 167617, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Local-gov, 254949, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 319582, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -25, Private, 248990, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -49, Private, 144396, 11th, 7, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -32, State-gov, 200469, Some-college, 10, Never-married, Protective-serv, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K -25, Federal-gov, 55636, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -39, Private, 185624, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Local-gov, 125442, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 160943, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, >50K -30, Private, 243841, HS-grad, 9, Divorced, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -21, Private, 34616, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -33, Private, 235847, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -33, Private, 174789, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 280111, 11th, 7, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -70, Private, 236055, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 237865, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 42, United-States, <=50K -17, Private, 194612, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -20, Private, 173851, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 372483, Some-college, 10, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K -71, Federal-gov, 422149, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 40, United-States, >50K -31, Private, 174201, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 272618, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -52, Private, 74660, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 201481, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 175232, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 336440, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 46645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 9, United-States, <=50K -48, State-gov, 31141, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K -53, Private, 281425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Self-emp-not-inc, 31510, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 310255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Federal-gov, 82393, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 56, United-States, >50K -59, Self-emp-not-inc, 190514, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -49, Private, 165513, Some-college, 10, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -65, ?, 178931, HS-grad, 9, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 3818, 0, 40, United-States, <=50K -31, Private, 226696, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -53, Private, 195813, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Other, Male, 5178, 0, 40, Puerto-Rico, >50K -44, Private, 165815, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 123983, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 55, Japan, >50K -36, Private, 235371, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 147258, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -63, ?, 222289, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 7688, 0, 54, United-States, >50K -67, Self-emp-inc, 171564, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 20051, 0, 30, England, >50K -29, Private, 255949, Bachelors, 13, Never-married, Sales, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 186272, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 282872, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 40, United-States, <=50K -21, Private, 111676, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 199501, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -24, Private, 151443, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 30, United-States, <=50K -31, Private, 145935, HS-grad, 9, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -54, Federal-gov, 230387, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -44, Private, 127592, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 210828, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Other, Male, 0, 0, 30, United-States, <=50K -41, Private, 297186, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 116554, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -30, Private, 144593, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -26, State-gov, 147719, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K -68, Self-emp-not-inc, 89011, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Canada, <=50K -31, Private, 38158, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 178686, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -80, ?, 172826, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -26, Private, 155752, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -63, Private, 100099, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 231688, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K -30, ?, 147215, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -42, Self-emp-inc, 50122, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -64, Federal-gov, 86837, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -32, Private, 113364, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 289390, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K -73, Private, 77884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -32, Private, 390157, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 89587, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 45, United-States, >50K -58, Private, 234328, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 365430, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -24, Private, 410439, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K -53, Private, 129525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 166527, Some-college, 10, Never-married, Exec-managerial, Own-child, Other, Female, 0, 0, 40, United-States, <=50K -42, ?, 109912, Assoc-acdm, 12, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 210906, HS-grad, 9, Married-civ-spouse, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 405284, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -28, Private, 138269, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 25429, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 231672, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 258550, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 268147, 9th, 5, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 54411, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -54, Private, 37289, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K -23, Private, 157951, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Self-emp-inc, 225165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -37, Private, 238049, 9th, 5, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, El-Salvador, <=50K -31, Private, 197252, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -56, Self-emp-inc, 216636, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1651, 40, United-States, <=50K -25, Private, 183575, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 19752, 11th, 7, Never-married, Other-service, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -37, Private, 103925, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 68, United-States, <=50K -60, Private, 31577, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Federal-gov, 61298, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -59, Federal-gov, 190541, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Self-emp-not-inc, 366089, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -28, ?, 389857, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Male, 0, 0, 16, United-States, <=50K -33, ?, 192644, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 216129, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1408, 50, United-States, <=50K -29, Private, 51944, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 4386, 0, 40, United-States, >50K -33, Self-emp-not-inc, 67482, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, <=50K -29, ?, 108775, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K -23, State-gov, 279243, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 278391, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, Nicaragua, <=50K -60, Private, 349898, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -44, Private, 219441, 10th, 6, Never-married, Sales, Unmarried, Other, Female, 0, 0, 35, Dominican-Republic, <=50K -18, Private, 173255, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 1055, 0, 25, United-States, <=50K -52, Federal-gov, 29623, 12th, 8, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 217460, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 163604, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, >50K -33, Private, 163110, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3781, 0, 40, United-States, <=50K -20, Private, 238685, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -27, ?, 251854, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, ?, >50K -33, Private, 213308, Assoc-voc, 11, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 50, United-States, <=50K -25, Private, 193773, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -63, Private, 114011, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -63, Self-emp-not-inc, 52144, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 347934, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -58, Private, 293399, 11th, 7, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -70, ?, 118630, Assoc-voc, 11, Widowed, ?, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 127306, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 14344, 0, 40, United-States, >50K -42, Private, 366180, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -20, Local-gov, 188950, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 25, United-States, <=50K -35, Private, 189382, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 24515, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 283116, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 1506, 0, 50, United-States, <=50K -43, Self-emp-not-inc, 182217, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K -19, Private, 552354, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 163021, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 61885, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -36, Self-emp-not-inc, 182898, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -45, Private, 183092, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 30289, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -29, Private, 77572, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -48, State-gov, 118330, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -36, Private, 469056, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -58, Private, 145574, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 302041, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -59, Private, 32552, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, United-States, <=50K -42, Private, 185413, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Federal-gov, 26543, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Federal-gov, 163870, Some-college, 10, Never-married, Armed-Forces, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 240063, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -48, Private, 208748, 5th-6th, 3, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K -32, Local-gov, 84119, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 84130, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -66, Local-gov, 261062, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Local-gov, 336010, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -52, Private, 389270, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -17, Private, 138293, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -35, Private, 240389, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 43, United-States, >50K -39, Private, 190297, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K -21, ?, 170070, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -24, Private, 149457, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 81534, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 84, Japan, >50K -25, Private, 378322, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2001, 50, United-States, <=50K -29, Federal-gov, 196912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -56, Private, 116143, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 44, United-States, >50K -34, Self-emp-not-inc, 80933, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -64, Local-gov, 190660, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -27, Private, 120155, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 39, United-States, <=50K -47, Private, 167159, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -36, Private, 58343, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 42, United-States, >50K -44, Federal-gov, 161240, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 126402, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K -23, Private, 148709, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -45, Local-gov, 318280, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -31, Local-gov, 80058, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 64, United-States, <=50K -45, Private, 274689, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 157367, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, ?, <=50K -33, Private, 217460, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Local-gov, 33727, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 166961, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -25, Private, 146117, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -33, Private, 160216, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, ?, <=50K -70, Self-emp-not-inc, 124449, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2246, 8, United-States, >50K -22, Private, 50163, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 235271, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 121124, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -43, Self-emp-not-inc, 144218, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 94334, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 25, United-States, <=50K -59, Self-emp-inc, 169982, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -51, Self-emp-not-inc, 35295, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 133969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 2885, 0, 65, Japan, <=50K -36, Private, 35429, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -73, Local-gov, 205580, 5th-6th, 3, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 6, United-States, <=50K -32, Local-gov, 177794, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 167474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Local-gov, 35211, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -20, Private, 117244, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -57, Private, 194850, Some-college, 10, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -19, Private, 144911, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 197240, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -55, Private, 101338, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 148522, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -19, Private, 97261, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 166606, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 229414, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -34, Local-gov, 209213, Bachelors, 13, Never-married, Prof-specialty, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K -26, Private, 291968, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 40, United-States, >50K -73, Federal-gov, 127858, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K -27, Private, 302406, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -37, Self-emp-not-inc, 29054, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 84, United-States, <=50K -73, Self-emp-not-inc, 336007, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 349230, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1848, 40, United-States, >50K -36, Local-gov, 101481, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 46704, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -49, Private, 233639, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -68, Local-gov, 31725, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 54850, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1590, 50, United-States, <=50K -30, Private, 293512, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 375655, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 105817, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Local-gov, 203408, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 162302, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -40, Private, 163455, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, >50K -32, Local-gov, 100135, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 41517, 11th, 7, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -18, Private, 102182, 12th, 8, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 414683, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 194352, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 194096, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 45, United-States, <=50K -90, Local-gov, 153602, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 6767, 0, 40, United-States, <=50K -20, Private, 215495, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -27, Private, 164607, Bachelors, 13, Separated, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K -58, Local-gov, 34878, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 126569, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -65, ?, 315728, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 2329, 0, 75, United-States, <=50K -28, Private, 22422, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 178222, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -45, Local-gov, 56841, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 300275, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -69, Local-gov, 197288, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -58, Self-emp-not-inc, 157786, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 110684, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -58, Self-emp-not-inc, 140729, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -53, Federal-gov, 90127, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -44, Self-emp-inc, 37997, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 61308, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 171199, Bachelors, 13, Divorced, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Puerto-Rico, <=50K -48, Private, 128432, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 195023, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 122473, 9th, 5, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K -43, Private, 171888, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Self-emp-inc, 183784, 10th, 6, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -20, Private, 219262, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 71379, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -19, ?, 234519, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 96824, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 242597, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 127388, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 204536, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -54, Private, 143804, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 80680, Some-college, 10, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -36, Private, 301227, 5th-6th, 3, Separated, Priv-house-serv, Unmarried, Other, Female, 0, 0, 35, Mexico, <=50K -26, Self-emp-not-inc, 201930, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Local-gov, 176616, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 353219, 9th, 5, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 126076, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 156493, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Federal-gov, 435503, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Self-emp-inc, 561489, Masters, 14, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K -22, Federal-gov, 100345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 43, United-States, <=50K -18, Private, 36275, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K -46, Private, 110794, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Local-gov, 143766, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Federal-gov, 76313, HS-grad, 9, Married-civ-spouse, Armed-Forces, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K -31, Private, 121308, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 216672, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 89942, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 3674, 0, 45, United-States, <=50K -45, State-gov, 103406, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K -30, State-gov, 158291, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 455361, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K -44, Private, 225263, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 1408, 46, United-States, <=50K -54, Private, 225307, 11th, 7, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 50, United-States, >50K -36, Private, 286115, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 187830, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -26, Private, 142506, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -47, Local-gov, 148576, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 185325, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K -32, Self-emp-not-inc, 27939, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -21, Private, 383603, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 140790, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, Private, 226629, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -51, Private, 228516, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Columbia, <=50K -55, Self-emp-not-inc, 119762, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 299197, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 149297, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -28, Local-gov, 202558, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 175232, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Self-emp-not-inc, 157473, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, ?, 409842, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 105787, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 36, United-States, <=50K -68, Private, 144056, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3818, 0, 40, United-States, <=50K -46, Private, 45363, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K -21, Private, 205838, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K -23, Private, 115326, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -17, Private, 186890, 10th, 6, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -23, Local-gov, 304386, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 24529, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Male, 0, 0, 15, United-States, <=50K -33, Private, 183557, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 342730, Assoc-acdm, 12, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -31, ?, 182191, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 4064, 0, 30, Canada, <=50K -56, Self-emp-not-inc, 67841, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 351381, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 293691, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 1590, 40, Japan, <=50K -41, Self-emp-inc, 220821, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -26, Private, 190027, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -41, Private, 343944, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 110457, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -47, State-gov, 72333, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 193494, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 334999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Self-emp-not-inc, 274363, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -58, Self-emp-inc, 113806, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 30, United-States, >50K -25, Private, 52536, Assoc-acdm, 12, Divorced, Tech-support, Own-child, White, Female, 0, 1594, 25, United-States, <=50K -44, Private, 187720, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 104996, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -24, Private, 214555, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 52963, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, Private, 190511, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 2176, 0, 35, United-States, <=50K -25, Private, 75821, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 123291, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K -50, Local-gov, 226497, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K -35, Private, 282979, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K -36, Private, 166549, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -27, Private, 187746, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 157145, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 227551, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 115306, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 169249, HS-grad, 9, Separated, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -34, State-gov, 221966, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 224566, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 28119, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 4, United-States, <=50K -19, Private, 323810, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 210498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 174995, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 2290, 0, 30, Hungary, <=50K -38, Private, 161141, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 210534, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -34, Self-emp-not-inc, 112650, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, State-gov, 318891, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Local-gov, 375655, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 228465, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, ?, 102130, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -73, Private, 183213, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Male, 25124, 0, 60, United-States, >50K -35, Local-gov, 177305, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 40, United-States, <=50K -41, Private, 34037, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 116613, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 50, United-States, <=50K -25, Private, 175540, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 150768, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 1564, 51, United-States, >50K -36, Private, 176634, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, >50K -36, Private, 209993, 1st-4th, 2, Widowed, Other-service, Other-relative, White, Female, 0, 0, 20, Mexico, <=50K -25, Local-gov, 206002, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 201259, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -26, Local-gov, 202286, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 96062, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 40, United-States, <=50K -36, Local-gov, 578377, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 509500, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 4787, 0, 45, United-States, >50K -53, Local-gov, 324021, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 107737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, State-gov, 129865, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 103586, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, United-States, <=50K -23, Private, 187513, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, <=50K -28, Private, 172891, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -53, Local-gov, 207449, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 209103, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, >50K -33, Private, 408813, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -27, Private, 209292, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 32, Dominican-Republic, <=50K -52, Private, 144361, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -31, Private, 209538, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 55, United-States, <=50K -27, Private, 244402, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -44, Private, 889965, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 3137, 0, 30, United-States, <=50K -37, Self-emp-not-inc, 298444, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 163237, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -18, Private, 311795, 12th, 8, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -42, Private, 155972, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 291783, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 153535, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -43, Private, 249771, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 99, United-States, <=50K -43, Private, 462180, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K -31, Private, 308540, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 34701, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Federal-gov, 106252, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 138944, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -37, Private, 140713, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, Jamaica, >50K -53, Local-gov, 216931, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 4386, 0, 40, United-States, >50K -26, Private, 162312, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, Philippines, <=50K -59, Self-emp-inc, 253062, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -36, Federal-gov, 359249, Some-college, 10, Separated, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 231413, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Local-gov, 197054, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 130931, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 30565, HS-grad, 9, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -48, Private, 105138, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 178383, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 241998, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -58, Self-emp-not-inc, 196403, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 10, United-States, >50K -44, Private, 232421, HS-grad, 9, Married-spouse-absent, Transport-moving, Not-in-family, Other, Male, 0, 0, 32, Canada, <=50K -30, Private, 130369, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -68, Self-emp-not-inc, 336329, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 10, United-States, <=50K -26, Local-gov, 337867, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 104614, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 223548, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -43, State-gov, 506329, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, ?, >50K -48, Private, 64479, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -55, Private, 284095, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -50, Self-emp-not-inc, 221336, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K -41, Private, 428499, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 50, United-States, >50K -52, Private, 208302, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, <=50K -24, ?, 412156, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Mexico, <=50K -31, Self-emp-not-inc, 182177, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -54, Local-gov, 129972, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, >50K -31, Self-emp-not-inc, 186420, Masters, 14, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -31, Self-emp-inc, 203488, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Private, 128796, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 55395, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -46, State-gov, 314770, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -45, Private, 135044, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 319248, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, Mexico, <=50K -34, Local-gov, 236415, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 18, United-States, <=50K -48, ?, 151584, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 8614, 0, 60, United-States, >50K -19, ?, 133983, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -56, Private, 81220, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -47, Private, 151087, HS-grad, 9, Separated, Prof-specialty, Other-relative, Other, Female, 0, 0, 40, Puerto-Rico, <=50K -35, Private, 322171, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -25, Private, 190628, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K -43, Local-gov, 106982, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 227856, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 37, United-States, >50K -66, ?, 213477, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -63, Private, 266083, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 257068, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -58, ?, 37591, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 150533, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, >50K -27, Private, 211184, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -21, Private, 136610, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K -44, Federal-gov, 244054, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K -40, Self-emp-not-inc, 240698, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -65, Private, 172906, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 238959, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -18, ?, 163085, HS-grad, 9, Separated, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -51, State-gov, 172022, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -44, Federal-gov, 218062, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 201799, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 13, United-States, <=50K -29, Private, 150717, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 94391, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Local-gov, 153064, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -43, Private, 156771, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 216639, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 82161, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, ?, 159159, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K -58, Self-emp-not-inc, 310014, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K -50, State-gov, 133014, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 36214, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K -21, Private, 399022, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K -33, Private, 179758, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 48947, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -47, Private, 201865, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 319122, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 14084, 0, 45, United-States, >50K -34, Private, 155151, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 24106, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Philippines, >50K -31, Private, 257863, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -19, ?, 28967, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 379393, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -45, Self-emp-not-inc, 152752, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 3, United-States, <=50K -34, Private, 154874, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 4416, 0, 30, United-States, <=50K -27, Private, 154210, 11th, 7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, India, <=50K -37, Private, 335716, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 94744, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -32, Private, 133861, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 48, United-States, >50K -24, Private, 240137, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K -39, Private, 80004, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 109702, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -62, Self-emp-not-inc, 39610, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K -24, Private, 90046, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 193855, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 206889, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 86298, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 149650, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 2559, 48, United-States, >50K -25, Private, 323139, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 237993, Prof-school, 15, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, ?, <=50K -24, Private, 36058, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 163393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -45, Local-gov, 93535, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 112952, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K -48, Private, 182541, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -26, Local-gov, 73392, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -40, ?, 507086, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K -68, Private, 195868, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 20051, 0, 40, United-States, >50K -24, Private, 276851, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Female, 0, 1762, 40, United-States, <=50K -25, ?, 39901, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Local-gov, 33124, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -55, Private, 419732, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -46, Private, 171095, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -58, Private, 199278, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -56, Private, 235205, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Federal-gov, 168232, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -24, Private, 145964, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K -35, Local-gov, 72338, HS-grad, 9, Divorced, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 56, United-States, <=50K -51, Private, 153870, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 323798, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K -17, Private, 198830, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 10, United-States, <=50K -21, Private, 267040, 10th, 6, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 167187, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -42, Private, 230684, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K -56, Private, 659558, 12th, 8, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 181661, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 186144, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Other, Female, 0, 0, 40, Mexico, <=50K -20, Federal-gov, 178517, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -65, Self-emp-not-inc, 131417, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1797, 0, 21, United-States, <=50K -44, Private, 57233, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 379798, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 122175, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Private, 107302, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Local-gov, 127651, 10th, 6, Never-married, Transport-moving, Other-relative, White, Male, 0, 1741, 40, United-States, <=50K -33, Self-emp-not-inc, 102884, Bachelors, 13, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, Self-emp-not-inc, 241753, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 173611, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 232666, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 352207, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -37, Self-emp-not-inc, 241998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 5, United-States, >50K -52, Private, 279129, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 37, United-States, >50K -27, Private, 177057, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 155659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 55, United-States, >50K -21, Private, 251603, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Federal-gov, 19914, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K -61, Private, 115023, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 101709, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -21, Private, 313702, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 250068, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 227359, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K -21, State-gov, 196827, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K -44, Private, 118550, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 33, United-States, <=50K -26, Private, 285004, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, South, <=50K -36, Private, 280169, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Private, 144608, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, >50K -52, Private, 76860, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 8, Philippines, <=50K -44, Self-emp-not-inc, 167280, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 334783, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 141580, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 226443, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 366065, Some-college, 10, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 225724, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 25, United-States, <=50K -81, State-gov, 132204, 1st-4th, 2, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -39, Private, 258276, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 3137, 0, 40, ?, <=50K -38, Private, 197711, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Portugal, <=50K -21, Private, 30619, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -28, Local-gov, 335015, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 61272, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 106544, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 144169, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 40295, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -56, Private, 266091, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2907, 0, 52, Cuba, <=50K -57, Private, 143030, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, ?, <=50K -42, State-gov, 192397, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -43, Private, 114351, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -48, ?, 63466, HS-grad, 9, Married-spouse-absent, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -53, Private, 132304, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Scotland, <=50K -58, Private, 128162, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -19, Private, 125938, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K -37, Private, 170174, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, >50K -41, Self-emp-not-inc, 203451, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -31, Private, 109917, 7th-8th, 4, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 114937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -53, Local-gov, 231196, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 238474, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K -56, Private, 314149, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -55, Federal-gov, 31728, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -51, Private, 360131, 5th-6th, 3, Married-civ-spouse, Craft-repair, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 141308, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 83411, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -45, ?, 119835, 7th-8th, 4, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, <=50K -28, Local-gov, 296537, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 193047, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -62, State-gov, 39630, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Local-gov, 213975, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -60, Local-gov, 259803, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -23, Federal-gov, 55465, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 181307, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K -21, Private, 211301, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K -51, Private, 200450, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K -61, Local-gov, 176731, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 140985, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 99999, 0, 30, United-States, >50K -76, Private, 125784, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 152176, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 39, United-States, <=50K -31, Self-emp-not-inc, 111423, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -43, Private, 130126, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -58, Federal-gov, 30111, Some-college, 10, Widowed, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -18, ?, 214989, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 24, United-States, <=50K -19, Private, 272800, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 195881, Some-college, 10, Divorced, Exec-managerial, Other-relative, White, Female, 0, 0, 45, United-States, <=50K -41, Local-gov, 170924, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 7, United-States, <=50K -21, Private, 131473, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, Vietnam, <=50K -40, Private, 149466, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -25, Private, 190418, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, Canada, <=50K -62, Local-gov, 167889, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Iran, <=50K -42, Private, 177989, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 186035, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 195805, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K -60, Private, 54800, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 100605, HS-grad, 9, Never-married, Sales, Own-child, Other, Male, 0, 0, 40, Puerto-Rico, <=50K -23, Private, 253190, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K -18, Private, 203301, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 175696, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 278304, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -51, Private, 93193, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Local-gov, 158688, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 327612, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 210844, Some-college, 10, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 147340, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -71, Self-emp-not-inc, 130436, 1st-4th, 2, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -25, Private, 206600, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -73, Private, 284680, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 127738, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 213412, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 287927, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, United-States, <=50K -44, Private, 249332, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Ecuador, <=50K -44, Local-gov, 290403, Assoc-voc, 11, Divorced, Protective-serv, Own-child, White, Female, 0, 0, 40, Cuba, <=50K -49, Private, 54772, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K -44, Self-emp-inc, 56651, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K -42, Federal-gov, 178470, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 62865, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -66, Private, 107196, HS-grad, 9, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 18, United-States, <=50K -19, Private, 86860, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 15, United-States, <=50K -60, Private, 130684, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -46, Private, 164682, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 198316, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -59, Private, 261816, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 52, Outlying-US(Guam-USVI-etc), <=50K -58, Private, 280309, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 60, United-States, >50K -47, Private, 97176, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 95835, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 36, United-States, <=50K -69, ?, 323016, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 40, United-States, >50K -17, ?, 280670, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 136306, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K -28, Private, 65171, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 70, United-States, <=50K -37, Private, 25864, HS-grad, 9, Separated, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -30, Private, 149531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 33887, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 172822, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 2824, 76, United-States, >50K -59, Private, 106748, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K -45, Private, 131826, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 216691, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K -37, Private, 133328, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 164737, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Local-gov, 99064, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, State-gov, 59460, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K -27, Private, 208725, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 138513, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 121055, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 149784, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 114495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, ?, 133278, 12th, 8, Separated, ?, Unmarried, Black, Female, 0, 0, 53, United-States, <=50K -32, Private, 212276, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 440129, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 38, Mexico, <=50K -47, Private, 98012, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, United-States, >50K -27, Private, 145284, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 177147, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 141537, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 48093, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 92, United-States, <=50K -23, Local-gov, 314819, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 123572, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 170800, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 332401, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 193038, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K -41, Private, 351161, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 45, United-States, >50K -45, Federal-gov, 106910, HS-grad, 9, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -67, ?, 163726, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 49, United-States, <=50K -36, Self-emp-not-inc, 609935, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 48, ?, <=50K -52, State-gov, 314627, Masters, 14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -28, Private, 115945, Doctorate, 16, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 18, United-States, <=50K -83, Self-emp-inc, 272248, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -17, Private, 167878, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 176972, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 31095, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 130834, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 207415, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K -51, Local-gov, 264457, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 340588, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 54, Mexico, <=50K -82, ?, 42435, 10th, 6, Widowed, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 107411, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -53, Private, 290640, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Germany, >50K -29, Private, 106179, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K -19, Private, 247679, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 171598, Bachelors, 13, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 234460, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, Dominican-Republic, <=50K -66, Private, 196674, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, >50K -27, Private, 182540, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 172694, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -17, Private, 29571, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -27, Private, 130438, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 213421, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -44, Local-gov, 189956, Bachelors, 13, Married-civ-spouse, Protective-serv, Wife, Black, Female, 15024, 0, 40, United-States, >50K -64, Private, 133144, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K -62, Self-emp-inc, 24050, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 276967, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 184857, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 145160, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 192251, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 190650, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K -52, Local-gov, 255927, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -46, Private, 99086, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -30, Private, 216811, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -52, Private, 110563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 120471, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K -17, Private, 183066, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -46, State-gov, 298786, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 297884, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -21, Private, 253612, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 1055, 0, 32, United-States, <=50K -18, Self-emp-not-inc, 207438, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 148522, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 1721, 15, United-States, <=50K -90, Private, 139660, Some-college, 10, Divorced, Sales, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -23, Private, 165474, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 120277, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Self-emp-not-inc, 67929, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -69, Private, 229418, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Federal-gov, 41356, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -28, Private, 185127, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K -37, Private, 109133, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K -57, Private, 148315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -30, Local-gov, 145692, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 1974, 40, United-States, <=50K -48, Private, 210424, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 914, 0, 40, United-States, <=50K -73, Private, 198526, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 32, United-States, <=50K -25, Private, 521400, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -33, Private, 100882, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -36, Private, 124818, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 190836, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K -57, Private, 71367, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 303032, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, ?, 98989, 9th, 5, Divorced, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, <=50K -40, State-gov, 390781, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K -32, Private, 54782, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, ?, 202683, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 213081, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K -27, Self-emp-inc, 89718, Some-college, 10, Separated, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 225106, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 18, United-States, <=50K -29, Private, 253262, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 78181, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 158206, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -69, ?, 337720, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -18, State-gov, 391257, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 134756, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 183404, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 8, United-States, <=50K -46, Private, 192793, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 203943, 12th, 8, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, ?, <=50K -53, Private, 89400, Some-college, 10, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 237868, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 139187, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 126701, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-inc, 172175, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 164210, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Local-gov, 608184, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -17, ?, 198797, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 20, Peru, <=50K -50, Local-gov, 425804, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -22, ?, 117618, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -30, Private, 119164, Bachelors, 13, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, ?, <=50K -40, Self-emp-inc, 92036, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 77146, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Self-emp-not-inc, 191803, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 54932, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 251694, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 268145, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 104842, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 50, Haiti, <=50K -60, Local-gov, 227332, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 212512, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 50, United-States, <=50K -53, Private, 133436, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, State-gov, 309055, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -18, Private, 59202, HS-grad, 9, Never-married, Priv-house-serv, Other-relative, White, Female, 0, 0, 10, United-States, <=50K -36, Private, 32709, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 3325, 0, 45, United-States, <=50K -67, Self-emp-inc, 73559, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 50, United-States, >50K -31, Private, 117963, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 169121, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -18, Private, 308889, 11th, 7, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -45, Local-gov, 144940, Masters, 14, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -64, Private, 102041, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 335998, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -53, Private, 29557, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 210313, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 28, Guatemala, <=50K -32, Private, 190784, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 107597, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 14084, 0, 30, United-States, >50K -59, Private, 97168, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 155930, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K -61, Self-emp-not-inc, 181033, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, ?, 344572, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, State-gov, 170165, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -32, Private, 178835, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 118230, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -48, Private, 149640, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 30271, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -21, Private, 154165, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 35, United-States, <=50K -50, Self-emp-not-inc, 341797, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Local-gov, 145246, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -51, Private, 280093, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 373469, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 199172, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 40, United-States, <=50K -70, Self-emp-not-inc, 177199, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 3, United-States, <=50K -33, Private, 258932, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Self-emp-not-inc, 139960, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 10605, 0, 60, United-States, >50K -39, Private, 258037, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -32, Private, 116677, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 59496, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 34218, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 200246, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -64, Federal-gov, 316246, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -37, Local-gov, 239161, Some-college, 10, Separated, Protective-serv, Own-child, Other, Male, 0, 0, 52, United-States, <=50K -49, Self-emp-not-inc, 173411, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 259226, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 48, United-States, <=50K -35, Local-gov, 195516, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 200598, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1740, 45, United-States, <=50K -42, State-gov, 160369, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -21, ?, 415913, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 147253, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 199674, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, State-gov, 198493, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 377121, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 400635, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, ?, <=50K -45, Private, 513660, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, ?, 175069, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 82552, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 594, 0, 50, United-States, <=50K -28, ?, 78388, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K -23, Private, 171705, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -39, Self-emp-not-inc, 315640, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 60, Iran, <=50K -45, Private, 266860, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -68, Private, 192829, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -60, Federal-gov, 237317, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 4934, 0, 40, United-States, >50K -38, State-gov, 110426, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 40, ?, >50K -41, Private, 327606, 12th, 8, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 34845, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 58582, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 155659, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Local-gov, 210029, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 381618, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -55, Self-emp-inc, 298449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 50, United-States, >50K -35, State-gov, 226789, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, <=50K -52, Private, 210736, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K -46, State-gov, 111163, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -72, ?, 76860, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 1, United-States, <=50K -18, Private, 92112, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -62, Local-gov, 136787, HS-grad, 9, Divorced, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 29810, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 30, United-States, <=50K -40, Private, 360884, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 40, United-States, >50K -26, Private, 266022, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 142874, Assoc-acdm, 12, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 36, United-States, <=50K -25, Self-emp-not-inc, 72338, HS-grad, 9, Never-married, Sales, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -46, ?, 177305, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, >50K -39, Private, 165106, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 1564, 50, ?, >50K -41, Private, 424478, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, >50K -59, Private, 189721, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, >50K -37, Private, 34180, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 183279, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -33, Private, 35309, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -23, Private, 259109, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, Puerto-Rico, <=50K -67, Self-emp-not-inc, 148690, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Male, 18481, 0, 2, United-States, >50K -60, Private, 125019, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 48, United-States, >50K -39, Self-emp-inc, 172538, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Self-emp-not-inc, 410615, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 60, United-States, >50K -26, Private, 322547, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -39, Private, 300760, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 232782, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 174645, 11th, 7, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 52, United-States, <=50K -43, Private, 164693, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 206861, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 25, United-States, <=50K -32, Private, 195602, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K -33, Self-emp-not-inc, 422960, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K -45, Private, 116360, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -48, Private, 278530, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 188291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -50, Self-emp-not-inc, 163948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Private, 64544, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -55, Private, 101468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -22, Private, 107882, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K -32, Self-emp-not-inc, 182691, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 203776, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -22, Private, 201268, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -44, Private, 29762, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 68, United-States, <=50K -34, Private, 186346, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 196690, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 99604, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 24, United-States, >50K -45, Private, 194772, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -17, Private, 95446, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -53, Self-emp-not-inc, 257126, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -58, Private, 194733, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 98361, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -44, Local-gov, 124924, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -40, Self-emp-not-inc, 111971, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -58, Self-emp-not-inc, 130714, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 208358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Private, 147627, 9th, 5, Never-married, Priv-house-serv, Not-in-family, Black, Female, 1055, 0, 22, United-States, <=50K -31, Private, 149507, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 38, United-States, <=50K -31, Private, 164870, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 236861, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1876, 45, United-States, <=50K -37, Private, 220314, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -38, Local-gov, 329980, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1876, 40, Canada, <=50K -58, Local-gov, 318537, 12th, 8, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 183284, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 334368, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 4650, 0, 40, United-States, <=50K -46, Private, 109227, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 70, United-States, <=50K -34, Private, 118551, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 163057, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -61, Self-emp-inc, 253101, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -30, Self-emp-not-inc, 20098, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 196227, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 175374, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 234037, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 58, United-States, <=50K -47, Private, 341762, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K -20, Private, 174714, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 222835, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 251786, 1st-4th, 2, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -20, Private, 164219, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 251120, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -30, Private, 236993, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -43, Local-gov, 105896, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 211527, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 317809, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, ?, >50K -25, Private, 185287, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 31014, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Private, 151985, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 24, United-States, >50K -26, Private, 89389, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 406051, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, >50K -48, Self-emp-not-inc, 171986, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -26, Private, 167848, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 213019, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 211424, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 168981, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -24, Private, 122348, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 139753, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Local-gov, 176178, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K -41, Private, 145220, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K -38, Local-gov, 188612, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 445728, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 318002, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 235722, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, ?, 367984, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 212705, Masters, 14, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -49, Private, 411273, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 103986, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 203761, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -58, ?, 266792, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 99999, 0, 40, United-States, >50K -22, Private, 116800, Assoc-acdm, 12, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 60, United-States, <=50K -21, State-gov, 99199, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 10, United-States, <=50K -50, Private, 162327, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Local-gov, 100479, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K -36, Local-gov, 32587, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -30, Federal-gov, 321990, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 48, Cuba, >50K -52, Private, 108914, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Self-emp-not-inc, 61343, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 90, United-States, <=50K -48, Local-gov, 81154, Assoc-voc, 11, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 162945, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 40, United-States, <=50K -37, Private, 225504, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -44, Self-emp-inc, 191712, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K -44, Private, 176063, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 198587, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, State-gov, 34965, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K -31, Self-emp-inc, 467108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -23, ?, 263899, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 12, England, <=50K -29, Private, 204984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -53, Private, 217568, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 48343, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 193130, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1887, 40, United-States, >50K -31, Private, 253354, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 258026, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -64, ?, 211360, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -55, Private, 191367, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 148995, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -20, Private, 123901, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Local-gov, 117496, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 30, United-States, >50K -45, Self-emp-inc, 32356, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 51, United-States, <=50K -17, Private, 206506, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 10, El-Salvador, <=50K -38, Private, 218729, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -43, Private, 52498, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K -22, Private, 136767, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -63, Private, 219540, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 114059, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 247337, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -43, State-gov, 310969, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 171546, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Private, 217455, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 410489, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -59, Private, 146391, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Local-gov, 165484, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K -23, Private, 184271, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -46, Self-emp-not-inc, 231347, Some-college, 10, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -53, Private, 95469, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K -47, Private, 244025, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 56, Puerto-Rico, <=50K -46, Federal-gov, 46537, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 205730, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K -29, Private, 383745, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 30, United-States, >50K -32, Private, 328199, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -90, Private, 84553, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 221072, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, ?, <=50K -23, Private, 123983, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -76, ?, 191024, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -23, Private, 167868, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 225879, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 0, 30, Mexico, >50K -81, Self-emp-inc, 247232, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 2936, 0, 28, United-States, <=50K -17, Private, 143791, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K -56, Private, 177271, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Federal-gov, 129786, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 31339, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 236267, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 130620, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, >50K -32, Private, 208180, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 24, United-States, >50K -25, Private, 292058, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -29, Federal-gov, 142712, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 119665, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -41, Private, 116825, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -48, State-gov, 201177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -29, Private, 118337, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, ?, 173800, Masters, 14, Never-married, ?, Unmarried, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K -55, Private, 289257, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 190912, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 1651, 40, Vietnam, <=50K -45, Private, 140581, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -50, Private, 174102, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K -22, Private, 316509, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -80, Local-gov, 20101, HS-grad, 9, Widowed, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 32, United-States, <=50K -30, Private, 187279, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, <=50K -20, Private, 259496, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -29, Self-emp-not-inc, 181466, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -56, Private, 178202, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 188976, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 203027, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, State-gov, 142022, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 119033, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 216181, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -47, Private, 178341, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, >50K -25, Local-gov, 244408, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -31, Private, 198953, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -28, Private, 173110, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 66326, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K -30, Local-gov, 181091, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-inc, 135500, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 40, United-States, >50K -27, Private, 133929, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, ?, <=50K -26, Private, 86483, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 167787, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 208577, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 2258, 50, United-States, <=50K -43, Private, 216697, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Other, Male, 0, 0, 32, United-States, <=50K -32, Local-gov, 118457, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -20, Private, 298635, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K -21, Local-gov, 212780, 12th, 8, Never-married, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -32, Private, 159187, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 237995, Assoc-voc, 11, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K -45, Private, 160724, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -37, Self-emp-inc, 183800, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -54, ?, 185936, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -24, Private, 161198, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -28, ?, 113635, 11th, 7, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -23, Private, 214542, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, ?, 172991, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 203761, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 161141, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -71, Private, 180117, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 317396, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 237868, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 5, United-States, <=50K -30, Private, 323069, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 181091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -38, Private, 309122, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 105936, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 13550, 0, 40, United-States, >50K -43, Private, 40024, 11th, 7, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -36, Federal-gov, 192443, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 13550, 0, 40, United-States, >50K -24, State-gov, 184216, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, ?, 256211, 1st-4th, 2, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -55, Private, 205422, 10th, 6, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K -51, Private, 22211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 60, United-States, >50K -43, Local-gov, 196308, HS-grad, 9, Divorced, Exec-managerial, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -28, Private, 389713, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 82566, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 199058, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 160440, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -47, Private, 76034, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 57, United-States, >50K -38, Private, 188503, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 6497, 0, 35, United-States, <=50K -60, Self-emp-not-inc, 92845, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 29083, HS-grad, 9, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 25, United-States, <=50K -22, Private, 234474, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -55, Local-gov, 107308, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 111891, Some-college, 10, Separated, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -53, Self-emp-not-inc, 145419, 1st-4th, 2, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 67, Italy, >50K -44, Local-gov, 193425, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 4386, 0, 40, United-States, >50K -28, Federal-gov, 188278, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Local-gov, 303485, Some-college, 10, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, Local-gov, 67187, HS-grad, 9, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -43, State-gov, 114508, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 204172, Bachelors, 13, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 162973, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -64, Self-emp-not-inc, 192695, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, Canada, <=50K -41, Local-gov, 89172, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 163320, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 128230, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 246440, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 50567, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -20, Private, 117476, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 315834, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K -28, Local-gov, 214881, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 195516, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 218653, Bachelors, 13, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 87205, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 20, United-States, >50K -40, Private, 164647, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -19, Private, 129151, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 319697, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 193374, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 167864, Assoc-voc, 11, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 197932, Some-college, 10, Separated, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, Guatemala, <=50K -51, Private, 102904, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -44, Private, 216907, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -35, Local-gov, 331395, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K -40, Private, 171424, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 35406, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -25, Private, 238964, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -33, Private, 213002, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1408, 36, United-States, <=50K -32, Private, 27882, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 2205, 40, Holand-Netherlands, <=50K -22, Private, 340543, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 70240, Some-college, 10, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -18, Self-emp-not-inc, 87169, HS-grad, 9, Never-married, Farming-fishing, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -43, Private, 253759, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -46, Private, 194431, HS-grad, 9, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 137843, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 48, United-States, >50K -40, ?, 170649, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -59, Private, 182460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -40, Local-gov, 26929, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 399022, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -64, ?, 50171, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -36, Private, 218490, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -48, Private, 164423, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 124436, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -18, Private, 60981, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -17, Private, 70868, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 16, United-States, <=50K -36, Private, 150601, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, <=50K -53, Private, 228500, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -36, State-gov, 76767, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -20, Private, 218178, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 615367, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -34, Private, 150324, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 51264, 11th, 7, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 197642, Some-college, 10, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 229895, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 167415, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Private, 166934, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 305597, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 301591, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -47, Federal-gov, 229646, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, Puerto-Rico, <=50K -28, Self-emp-not-inc, 51461, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 206600, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, Nicaragua, <=50K -25, Private, 176836, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -50, Private, 204447, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K -50, Private, 33304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 174051, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -27, Private, 38918, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1876, 75, United-States, <=50K -32, Private, 170017, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 98466, 10th, 6, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -19, Private, 188864, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -53, Self-emp-inc, 137815, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -21, Private, 43475, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 557236, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 32779, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 419, 12, United-States, <=50K -31, Private, 161765, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2051, 57, United-States, <=50K -32, Private, 207668, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 2444, 50, United-States, >50K -33, Private, 171215, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, ?, 52590, HS-grad, 9, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 183751, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -30, Private, 149507, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 42, United-States, <=50K -49, Private, 98092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 123714, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -30, State-gov, 190385, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -51, Private, 334273, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 343440, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 208302, HS-grad, 9, Divorced, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -23, Local-gov, 280164, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 32, United-States, <=50K -23, Self-emp-not-inc, 174714, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 184655, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -19, Private, 140459, 11th, 7, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -53, Self-emp-not-inc, 108815, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -17, Private, 152652, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -69, Private, 269499, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -46, Local-gov, 33373, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 243674, HS-grad, 9, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K -40, Private, 225432, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 215839, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, ?, <=50K -29, Local-gov, 195520, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 70092, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -22, Private, 189888, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 64307, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 94235, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K -35, Private, 62333, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 260997, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -17, Private, 146268, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -39, Private, 147258, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 207948, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 180607, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -56, Local-gov, 104996, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -80, Self-emp-not-inc, 562336, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -38, Self-emp-not-inc, 334366, Some-college, 10, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 15, United-States, <=50K -52, State-gov, 142757, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K -26, Local-gov, 220656, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 38, England, <=50K -43, Private, 96483, HS-grad, 9, Divorced, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -45, Private, 51744, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -41, Self-emp-inc, 114967, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -30, Private, 393965, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -24, Private, 41838, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K -43, Local-gov, 143046, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 209174, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -54, Private, 183248, HS-grad, 9, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 102942, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 2258, 40, United-States, >50K -33, Self-emp-not-inc, 427474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -18, Private, 338632, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -38, Private, 89559, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -41, Self-emp-not-inc, 32533, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, ?, 255969, 12th, 8, Never-married, ?, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -66, Self-emp-inc, 112376, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -70, ?, 346053, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 147653, 10th, 6, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 1977, 35, ?, >50K -60, Self-emp-not-inc, 44915, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -24, Local-gov, 111450, 10th, 6, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 65, Haiti, <=50K -61, Private, 171429, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -35, Local-gov, 190964, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 109005, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 404453, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 280169, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K -39, Self-emp-not-inc, 163204, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 192256, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -52, Private, 181755, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 183105, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 44, Cuba, <=50K -37, Private, 335168, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -38, Local-gov, 86643, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 180262, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 127865, Masters, 14, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 146042, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 3103, 0, 60, United-States, >50K -49, Self-emp-not-inc, 102110, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, >50K -38, Private, 152237, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, ?, >50K -22, Private, 202745, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 55, United-States, <=50K -40, Federal-gov, 199303, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 266467, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Federal-gov, 345259, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K -24, Private, 204935, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -58, Federal-gov, 244830, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K -24, Private, 190457, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 180138, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 166585, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 29962, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 191129, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 378707, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 116358, HS-grad, 9, Never-married, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 27828, 0, 48, United-States, >50K -48, Private, 240629, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -40, Private, 233320, 7th-8th, 4, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -50, Self-emp-inc, 302708, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 50, Japan, >50K -57, Private, 29375, HS-grad, 9, Separated, Sales, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K -36, Local-gov, 137314, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -41, Private, 140886, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 226968, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 151793, 7th-8th, 4, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 10, United-States, <=50K -34, Self-emp-not-inc, 56460, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 2179, 12, United-States, <=50K -23, Private, 72887, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 1, Vietnam, <=50K -35, Private, 261646, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, <=50K -32, Private, 178615, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K -33, Private, 295589, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K -32, Self-emp-inc, 377836, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 56510, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 337696, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 183765, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 107846, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -34, Local-gov, 22641, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -35, Private, 204590, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K -29, Private, 114801, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 190591, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -33, State-gov, 220066, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 48, United-States, >50K -22, ?, 228480, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 128378, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 157595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Local-gov, 152171, 11th, 7, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 10, United-States, <=50K -63, Private, 339755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, ?, >50K -49, Private, 240841, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -58, Private, 94345, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 289116, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -59, Private, 176647, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Self-emp-not-inc, 79627, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Local-gov, 210781, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -17, ?, 161981, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 493443, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 86459, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -64, Private, 312242, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K -34, Private, 185408, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 101077, Assoc-acdm, 12, Married-spouse-absent, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -51, Private, 147200, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -40, State-gov, 166327, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -55, Private, 178644, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 126675, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, ?, <=50K -30, Private, 158420, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -47, ?, 83046, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K -29, Private, 46609, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -17, ?, 170320, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K -32, Self-emp-not-inc, 37232, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -55, Private, 141877, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Local-gov, 81654, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 56, United-States, >50K -50, Private, 177705, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 124792, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 45, United-States, >50K -32, Self-emp-not-inc, 129497, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -60, Private, 114413, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -53, Private, 189511, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 111625, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Male, 8614, 0, 40, United-States, >50K -45, Private, 246431, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 147654, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 443546, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 281751, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 263128, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -26, Private, 292692, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -47, Self-emp-inc, 96798, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K -34, Private, 430554, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 317078, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 108557, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 99999, 0, 40, United-States, >50K -32, Private, 207400, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 187089, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, United-States, >50K -46, Local-gov, 398986, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 52, United-States, >50K -38, Private, 238980, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, ?, 407495, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -35, Private, 183800, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -61, ?, 226989, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 4865, 0, 40, United-States, <=50K -45, Private, 287190, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 35, United-States, <=50K -31, Private, 111363, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 260938, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 183594, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -64, ?, 49194, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -20, ?, 117618, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 172496, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 389713, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 174413, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 189843, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 198546, Masters, 14, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -21, Private, 82497, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 193090, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -79, Private, 172220, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, White, Female, 2964, 0, 30, United-States, <=50K -55, Private, 208451, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, ?, 234277, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -60, Private, 163729, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 2597, 0, 40, United-States, <=50K -37, Private, 434097, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 192053, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 1590, 40, United-States, <=50K -20, State-gov, 178628, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 96827, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -34, Private, 154667, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 160246, Some-college, 10, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 166036, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 186813, HS-grad, 9, Never-married, Protective-serv, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -29, Private, 162312, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, United-States, <=50K -58, Private, 183893, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -55, ?, 270228, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, Black, Male, 7688, 0, 40, United-States, >50K -40, Private, 111829, Masters, 14, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 175669, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -25, State-gov, 104097, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Local-gov, 117618, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 24, United-States, <=50K -34, Self-emp-inc, 202450, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 109570, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -60, Private, 101096, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 65, United-States, >50K -39, Private, 236391, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -21, Private, 136975, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 167523, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2179, 45, United-States, <=50K -33, Private, 240979, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 248612, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -39, Private, 151023, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 114, 0, 45, United-States, <=50K -29, Private, 236436, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K -29, ?, 153167, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 61735, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 243165, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, >50K -24, Private, 388885, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -77, Self-emp-inc, 84979, Doctorate, 16, Married-civ-spouse, Farming-fishing, Husband, White, Male, 20051, 0, 40, United-States, >50K -34, Self-emp-not-inc, 87209, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -53, Self-emp-not-inc, 168539, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -31, Private, 179013, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 196643, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -50, Self-emp-not-inc, 68898, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, United-States, >50K -32, Private, 156464, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 35884, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 182714, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -77, Private, 344425, 9th, 5, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 10, United-States, <=50K -37, Self-emp-not-inc, 177277, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 70767, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 520078, Assoc-acdm, 12, Divorced, Sales, Unmarried, Black, Male, 0, 0, 60, United-States, <=50K -53, Local-gov, 321770, HS-grad, 9, Married-spouse-absent, Transport-moving, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -32, Private, 158416, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 312667, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 208656, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 594, 0, 20, United-States, <=50K -33, Private, 31481, Bachelors, 13, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -31, Private, 259531, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 186239, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 162954, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -27, Private, 249315, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -21, Private, 308237, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -24, Private, 103064, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 185847, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 54, United-States, <=50K -31, Private, 168521, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 198170, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 353628, 10th, 6, Separated, Sales, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -38, ?, 273285, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -31, Private, 272069, Assoc-voc, 11, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 22328, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 309212, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -25, Self-emp-inc, 148888, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Local-gov, 324637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -53, Self-emp-inc, 55139, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, ?, 212206, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 1887, 48, United-States, >50K -29, Private, 119004, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2179, 40, United-States, <=50K -45, Private, 252079, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -70, Private, 315868, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-inc, 392325, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K -40, State-gov, 174283, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K -17, Private, 126832, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -18, Private, 126071, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 265706, Masters, 14, Never-married, Sales, Unmarried, White, Male, 0, 0, 60, United-States, >50K -41, Private, 282964, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 328518, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, State-gov, 283499, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 286675, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 136472, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K -36, Private, 132879, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -26, Private, 314798, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 143943, Bachelors, 13, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 7, United-States, <=50K -35, Private, 134367, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Local-gov, 366796, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 195573, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 33616, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -31, Private, 164190, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 380281, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, Columbia, <=50K -58, Self-emp-inc, 190763, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Local-gov, 209535, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 156003, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 55699, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 40, United-States, <=50K -28, Private, 183151, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7688, 0, 40, United-States, >50K -40, Private, 198790, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K -33, Self-emp-not-inc, 272359, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 80, United-States, >50K -27, Private, 236481, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 10, India, <=50K -55, Private, 143266, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 25, United-States, <=50K -53, Private, 192386, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 99543, 12th, 8, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K -66, Private, 169435, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K -34, Self-emp-not-inc, 34572, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -39, Private, 119272, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 211601, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 154785, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, Other, Female, 0, 0, 35, United-States, <=50K -21, Private, 213041, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Cuba, <=50K -59, Private, 229939, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 175331, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 226443, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 46561, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 161311, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -50, Private, 98215, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 118363, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2206, 5, United-States, <=50K -59, Local-gov, 181242, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 356238, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 80, United-States, >50K -56, Self-emp-not-inc, 39380, Some-college, 10, Married-spouse-absent, Farming-fishing, Not-in-family, White, Female, 27828, 0, 20, United-States, >50K -28, Private, 315287, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, ?, <=50K -34, Private, 269723, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 2977, 0, 50, United-States, <=50K -63, Private, 34098, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Female, 0, 0, 56, United-States, <=50K -48, Private, 50880, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K -41, Federal-gov, 356934, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -26, Private, 276309, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -47, Private, 175925, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 2179, 52, United-States, <=50K -29, Self-emp-not-inc, 164607, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 224462, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 92863, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 179565, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -59, Self-emp-not-inc, 31137, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -19, Private, 199495, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 175262, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -37, Private, 220585, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 231793, Doctorate, 16, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -34, Federal-gov, 191342, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 38, United-States, <=50K -30, Private, 186420, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 328242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K -56, Private, 279340, 11th, 7, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 174478, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 151771, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 145636, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 43, United-States, >50K -21, Private, 120326, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 246439, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 144133, Bachelors, 13, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -44, Local-gov, 145522, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 312055, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 235847, Some-college, 10, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 187748, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 396482, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -49, Private, 261688, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 60, United-States, <=50K -20, Private, 39477, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -37, Private, 143058, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 216867, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, Mexico, <=50K -44, Private, 230592, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -30, Local-gov, 40338, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Local-gov, 115457, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 374983, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 285419, 12th, 8, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 385901, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 22, United-States, <=50K -45, State-gov, 187581, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-inc, 299036, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -42, Private, 68729, Some-college, 10, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -27, Private, 333990, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 117767, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -43, Private, 184378, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 232591, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 143851, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 89622, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 80, United-States, >50K -34, Private, 202498, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K -72, Private, 268861, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 99, ?, <=50K -54, Private, 343242, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K -30, Private, 460408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Private, 205246, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 230329, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 197871, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -72, ?, 201375, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 194290, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 191814, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Private, 95168, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, ?, 137876, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 386136, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -71, ?, 108390, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3432, 0, 20, United-States, <=50K -41, Private, 152529, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -35, Private, 214891, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Dominican-Republic, <=50K -18, Private, 133654, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 147548, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -57, Private, 73051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 60166, 1st-4th, 2, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 65, United-States, <=50K -25, Self-emp-inc, 454934, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -64, ?, 338355, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 15, United-States, <=50K -35, Self-emp-not-inc, 185621, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 101500, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 36397, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -18, Private, 276540, 12th, 8, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -21, Private, 293968, Some-college, 10, Married-spouse-absent, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -43, ?, 35523, Assoc-acdm, 12, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -32, Local-gov, 186993, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 232132, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Private, 176917, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -40, Private, 105936, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 105821, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -22, ?, 34506, Some-college, 10, Separated, ?, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -42, Private, 178074, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 116961, 7th-8th, 4, Widowed, ?, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -34, Private, 191930, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 130807, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 94100, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -65, Self-emp-not-inc, 144822, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -61, Self-emp-inc, 102191, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 99, United-States, <=50K -18, Private, 90934, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 28, United-States, <=50K -49, ?, 296892, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -48, Private, 173243, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 258768, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 2174, 0, 75, United-States, <=50K -30, Private, 189759, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -68, Self-emp-not-inc, 69249, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 133061, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, <=50K -65, Self-emp-not-inc, 175202, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K -32, Private, 27051, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, <=50K -44, Private, 60414, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Local-gov, 317360, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -24, Private, 258298, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -58, Private, 174040, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 177566, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, Germany, <=50K -54, Private, 162238, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -35, Private, 87556, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -35, Private, 144322, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -24, Private, 190015, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 183173, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K -38, Self-emp-not-inc, 151322, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Local-gov, 47392, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 107125, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 265295, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 189219, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 16, United-States, <=50K -56, Private, 147989, Some-college, 10, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 185732, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 153516, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 191910, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 216145, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 202872, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -62, Self-emp-not-inc, 39630, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -24, ?, 114292, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Local-gov, 206721, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 358585, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K -33, Private, 377283, Bachelors, 13, Separated, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -65, ?, 76043, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 1, United-States, >50K -65, Without-pay, 172949, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2414, 0, 20, United-States, <=50K -46, Private, 110171, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -43, Local-gov, 223861, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 163455, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 183892, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 47022, HS-grad, 9, Widowed, Handlers-cleaners, Other-relative, White, Female, 0, 0, 48, United-States, <=50K -55, Federal-gov, 145401, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 387074, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 105363, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4508, 0, 40, United-States, <=50K -59, Federal-gov, 195467, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Local-gov, 170217, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 156807, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 10, United-States, <=50K -26, Private, 255193, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 40, United-States, <=50K -38, Private, 273640, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 191177, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 184787, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -37, State-gov, 239409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -63, Self-emp-not-inc, 404547, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -27, State-gov, 23740, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, >50K -20, Private, 382153, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K -26, Private, 164488, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -21, ?, 228424, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 168539, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 189530, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 89419, Assoc-voc, 11, Divorced, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, Columbia, <=50K -35, Private, 224512, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -21, ?, 314645, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -65, Private, 85787, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Local-gov, 279881, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 194287, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 1602, 35, United-States, <=50K -24, Private, 141040, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 222294, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -70, ?, 410980, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K -52, Private, 38795, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -64, Private, 182979, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 223277, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 67065, Assoc-voc, 11, Never-married, Priv-house-serv, Not-in-family, White, Male, 594, 0, 25, United-States, <=50K -47, Federal-gov, 160647, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 45796, 12th, 8, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 110597, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -33, Private, 166961, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -52, Private, 318975, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K -49, Private, 305657, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 120857, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 18, United-States, <=50K -62, Self-emp-not-inc, 158712, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 6, United-States, <=50K -44, Private, 304530, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -28, Local-gov, 327533, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K -68, Local-gov, 233954, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, >50K -40, Federal-gov, 26880, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 70754, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 184665, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 245372, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -62, Private, 252668, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -37, Private, 86551, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 241998, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4787, 0, 40, United-States, >50K -44, Private, 106900, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, <=50K -41, Private, 204235, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 127772, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 117217, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -48, Federal-gov, 215389, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -21, Private, 198050, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -39, Private, 173476, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -38, Private, 217349, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K -44, Private, 377018, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 99894, 10th, 6, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 30, Japan, >50K -25, Private, 170786, 9th, 5, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 250585, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -47, Private, 198769, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -26, Private, 306513, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 178623, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 14084, 0, 60, United-States, >50K -23, Private, 109307, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Federal-gov, 106982, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 396878, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 25, United-States, <=50K -23, Private, 344278, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -45, Private, 203653, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 7298, 0, 40, United-States, >50K -42, Local-gov, 227890, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, <=50K -29, Private, 107812, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -48, Private, 185143, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 143068, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 114758, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -46, Private, 266337, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 321787, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, State-gov, 21306, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -18, Private, 271935, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 148952, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -42, Private, 196626, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, ?, 108082, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 199439, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -20, ?, 304076, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -52, Self-emp-inc, 81436, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-inc, 352971, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -53, Private, 375134, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -36, Private, 206521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -27, Private, 330466, Bachelors, 13, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -52, Private, 208302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -60, Self-emp-not-inc, 135285, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 171615, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -64, Self-emp-not-inc, 149698, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 71351, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, El-Salvador, <=50K -63, Private, 84737, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -54, Local-gov, 375134, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 207103, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 199314, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K -63, Self-emp-not-inc, 289741, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 41310, 0, 50, United-States, <=50K -37, Private, 240837, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -22, Private, 283499, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -54, Private, 97778, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 21698, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Local-gov, 232618, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 175820, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -25, Local-gov, 63996, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 182985, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 380127, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 111483, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -18, ?, 31008, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -57, Private, 96346, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 57, United-States, <=50K -22, Private, 317528, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 34, United-States, <=50K -36, State-gov, 223020, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -33, ?, 173998, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 1485, 38, United-States, <=50K -39, Private, 115076, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 133969, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, United-States, >50K -41, Private, 173858, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -35, Private, 193241, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K -40, Self-emp-inc, 50644, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K -30, Private, 178841, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 177017, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 37, United-States, <=50K -25, Private, 253267, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1902, 36, United-States, >50K -37, Private, 202027, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7688, 0, 50, United-States, >50K -53, Self-emp-not-inc, 321865, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -34, Self-emp-not-inc, 321709, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -22, Private, 166371, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, ?, <=50K -18, Private, 210574, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, ?, 92968, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 15024, 0, 40, United-States, >50K -45, Private, 474617, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 5455, 0, 40, United-States, <=50K -19, Private, 264390, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 2001, 40, United-States, <=50K -33, Self-emp-inc, 144949, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -45, State-gov, 90803, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 126701, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -40, Private, 178417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -41, Self-emp-not-inc, 197176, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 75, United-States, >50K -25, Private, 182227, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1579, 40, United-States, <=50K -22, Private, 117606, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 32, United-States, <=50K -52, Private, 349502, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -45, Federal-gov, 81487, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K -32, State-gov, 169583, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -26, Private, 485117, Bachelors, 13, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 35603, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 175390, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Private, 184986, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Local-gov, 174395, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 187711, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 189878, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 224073, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -48, Private, 159726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K -40, ?, 65545, Masters, 14, Divorced, ?, Own-child, White, Female, 0, 0, 55, United-States, <=50K -26, Private, 456618, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 2597, 0, 40, United-States, <=50K -35, Private, 202397, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -21, Private, 206681, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -54, Private, 222020, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -40, Private, 137304, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -51, Private, 141645, Some-college, 10, Separated, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 218085, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K -22, Private, 52596, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K -20, Private, 197997, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 191444, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 40767, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 172577, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -36, Private, 241998, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -65, State-gov, 215908, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 2174, 40, United-States, >50K -48, Private, 212120, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 109133, Masters, 14, Separated, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, Iran, >50K -20, Private, 224424, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, State-gov, 214985, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 147098, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Local-gov, 149833, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Federal-gov, 253770, Some-college, 10, Married-civ-spouse, Transport-moving, Wife, White, Female, 7298, 0, 40, United-States, >50K -80, Private, 252466, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K -59, State-gov, 132717, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 138944, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 280570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 50, United-States, >50K -56, Self-emp-not-inc, 144380, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -69, Local-gov, 660461, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -49, Private, 177211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 197424, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5013, 0, 40, United-States, <=50K -28, Self-emp-inc, 31717, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -49, Private, 296849, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Local-gov, 193720, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 106698, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -66, Private, 214469, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K -44, Private, 185798, Assoc-voc, 11, Separated, Craft-repair, Other-relative, White, Male, 0, 0, 48, United-States, >50K -26, Private, 333108, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 35210, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 140845, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 155, 40, United-States, <=50K -25, ?, 335376, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -17, Private, 170455, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K -52, Private, 298215, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -34, ?, 93834, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 8, United-States, <=50K -24, Private, 404416, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, ?, 206916, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -65, Private, 143175, Some-college, 10, Widowed, Sales, Other-relative, White, Female, 0, 0, 45, United-States, <=50K -36, Self-emp-not-inc, 409189, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 285750, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -43, Private, 235556, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K -39, Local-gov, 170382, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, England, >50K -48, Private, 195437, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Local-gov, 191130, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 231160, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -36, Private, 47310, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 214635, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 36, Haiti, <=50K -50, Federal-gov, 65160, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, State-gov, 423222, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 80, United-States, >50K -34, Private, 263307, Bachelors, 13, Never-married, Sales, Unmarried, Black, Male, 0, 0, 45, ?, <=50K -70, Self-emp-inc, 272896, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 232854, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 442035, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 127875, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -40, Private, 283724, 9th, 5, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 49, United-States, <=50K -46, Private, 403911, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1902, 40, United-States, >50K -21, ?, 228649, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -40, Private, 177027, Bachelors, 13, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 7688, 0, 52, Japan, >50K -47, Private, 249935, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 8, United-States, <=50K -19, Private, 533147, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -22, Private, 137862, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 16, United-States, <=50K -20, Private, 249543, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 16, United-States, <=50K -46, Local-gov, 230979, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 4787, 0, 25, United-States, >50K -41, Private, 137126, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K -17, Private, 147339, 10th, 6, Never-married, Prof-specialty, Own-child, Other, Female, 0, 0, 15, United-States, <=50K -41, Private, 256647, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 111696, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K -20, ?, 150084, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -24, Private, 285457, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 303867, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Federal-gov, 113597, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -26, Self-emp-not-inc, 151626, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 26145, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 176189, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Federal-gov, 497253, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -41, Private, 41090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2002, 60, United-States, <=50K -38, Self-emp-not-inc, 282461, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K -21, Private, 225541, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 203488, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K -23, ?, 296613, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K -40, Private, 99373, 10th, 6, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Local-gov, 109705, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 144947, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 617898, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 38310, 7th-8th, 4, Divorced, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 248993, HS-grad, 9, Married-spouse-absent, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -65, ?, 149131, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Italy, >50K -33, Private, 69311, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Federal-gov, 143766, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 213477, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 0, 0, 28, United-States, <=50K -24, Private, 275691, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 39, United-States, <=50K -26, Private, 59367, Bachelors, 13, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 35551, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 236784, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 8, Cuba, <=50K -43, Local-gov, 193755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 315291, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -22, Private, 290504, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 256240, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -69, ?, 199591, Prof-school, 15, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, ?, <=50K -27, Private, 178709, Masters, 14, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 449354, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4386, 0, 45, United-States, >50K -24, Private, 187937, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Never-worked, 157131, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -53, Local-gov, 188772, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 157617, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Poland, <=50K -60, Private, 96099, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 122322, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 60, United-States, <=50K -39, Private, 409189, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -45, Private, 175925, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -76, Self-emp-not-inc, 236878, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 216647, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 300681, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, Jamaica, >50K -54, Private, 327769, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 194723, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Local-gov, 31251, 7th-8th, 4, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 212506, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 23037, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 29054, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 92733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, State-gov, 184678, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -37, Federal-gov, 32528, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, England, >50K -63, Private, 125954, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -35, Private, 73715, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 209212, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 56, ?, <=50K -41, Private, 287037, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 64667, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 60, Vietnam, <=50K -26, Self-emp-inc, 366662, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -36, Local-gov, 113337, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K -47, Private, 387468, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Scotland, >50K -51, Private, 384248, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K -41, Private, 332703, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Other, Female, 0, 625, 40, United-States, <=50K -40, Private, 198873, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 30, United-States, >50K -32, Private, 317809, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 50, United-States, <=50K -37, Local-gov, 160910, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -40, Self-emp-inc, 182629, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 267652, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 410186, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 365411, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, <=50K -28, Private, 205337, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Self-emp-not-inc, 100999, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -44, Private, 197462, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 199143, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 7430, 0, 44, United-States, >50K -47, Private, 191978, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 50178, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 72442, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 248512, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 178140, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, >50K -58, Private, 354024, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -35, Private, 143589, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -35, Private, 219902, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -29, Local-gov, 419722, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 3674, 0, 40, United-States, <=50K -40, Private, 154374, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -33, Private, 132601, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -38, Self-emp-not-inc, 29430, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 30731, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -66, Private, 210825, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 251091, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 219034, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Federal-gov, 35723, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -46, Private, 358886, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 248708, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, ?, 77937, 12th, 8, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -30, Private, 30063, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -29, Private, 253799, 12th, 8, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, England, <=50K -60, ?, 41553, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -24, Private, 59146, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -42, Self-emp-not-inc, 343609, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K -26, Private, 216010, HS-grad, 9, Separated, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 164526, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 150958, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 48, Guatemala, <=50K -26, Private, 244495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 199336, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 151369, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -49, Federal-gov, 118701, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 219611, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 184568, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 246891, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -70, Self-emp-inc, 243436, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -44, Local-gov, 68318, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 55, United-States, <=50K -58, Private, 56331, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 190591, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K -54, Private, 140359, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 3900, 40, United-States, <=50K -42, Self-emp-inc, 23510, Masters, 14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 2201, 60, India, >50K -28, Private, 122540, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 212562, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K -35, Self-emp-not-inc, 112497, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, White, Male, 0, 0, 35, Ireland, <=50K -82, Private, 147729, 5th-6th, 3, Widowed, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -48, Self-emp-not-inc, 296066, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 148138, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Japan, >50K -68, Private, 50351, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 6360, 0, 20, United-States, <=50K -42, Private, 306496, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 210029, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 2001, 37, United-States, <=50K -54, Private, 163894, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 113936, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 316820, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K -17, Private, 53367, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -46, Self-emp-not-inc, 95256, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -59, Private, 127728, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 66686, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -70, ?, 207627, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2228, 0, 24, United-States, <=50K -57, Self-emp-inc, 199768, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 30, United-States, >50K -47, ?, 186805, HS-grad, 9, Married-civ-spouse, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -31, Private, 154297, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K -23, Private, 103064, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 93235, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 1721, 25, United-States, <=50K -63, Private, 440607, Preschool, 1, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 30, Mexico, <=50K -44, Private, 212894, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -30, Private, 167990, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 378460, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -44, Private, 151089, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 60, United-States, >50K -24, Private, 153583, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 114639, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 344480, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -24, Private, 188300, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 105938, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 217826, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 25, Jamaica, <=50K -20, Private, 379525, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -34, State-gov, 177331, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 4386, 0, 40, United-States, >50K -37, Private, 127918, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 20, Puerto-Rico, <=50K -47, Federal-gov, 27067, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 250038, 9th, 5, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 45, Mexico, <=50K -36, Self-emp-not-inc, 36270, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1977, 65, United-States, >50K -60, Private, 308608, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -64, Self-emp-inc, 213574, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 10, United-States, <=50K -32, Local-gov, 235109, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -33, State-gov, 374905, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, Private, 118876, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K -55, Local-gov, 223716, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -85, Self-emp-not-inc, 166027, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -57, Self-emp-not-inc, 275943, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, <=50K -39, Private, 198654, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 2415, 67, India, >50K -25, Private, 109080, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 55, United-States, <=50K -58, Private, 104333, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 195876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 390879, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -19, Private, 197748, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 442045, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 44216, HS-grad, 9, Never-married, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -43, Federal-gov, 114537, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, ?, 253370, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, >50K -19, Private, 274830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -24, Private, 321763, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -34, Private, 213226, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, >50K -22, Private, 167787, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -64, Self-emp-not-inc, 352712, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -55, ?, 316027, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, <=50K -26, Private, 213412, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -80, Private, 202483, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -79, Local-gov, 146244, Doctorate, 16, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 450544, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 81243, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K -43, Private, 195258, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 57929, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -35, Private, 953588, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -51, Private, 99064, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -52, Local-gov, 194788, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 4787, 0, 60, United-States, >50K -43, Self-emp-inc, 155293, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -68, Private, 204082, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -34, State-gov, 216283, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -37, Private, 355856, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K -22, Private, 297380, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -32, Private, 425622, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -65, Self-emp-not-inc, 145628, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 115549, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 245482, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -40, Self-emp-inc, 142444, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -40, Private, 134026, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 177366, HS-grad, 9, Separated, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 38245, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -62, Self-emp-not-inc, 215944, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -49, Private, 115784, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -49, Private, 170165, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Female, 0, 0, 55, United-States, <=50K -47, Private, 355320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -45, Private, 116163, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 405644, 1st-4th, 2, Married-spouse-absent, Farming-fishing, Other-relative, White, Male, 0, 0, 77, Mexico, <=50K -36, Local-gov, 223433, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 53, United-States, >50K -36, Private, 41624, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, Mexico, <=50K -44, Private, 151089, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -51, State-gov, 285747, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 60, United-States, >50K -25, State-gov, 108542, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 212318, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -57, Private, 173090, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -46, Private, 26781, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -59, Private, 31782, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 189241, 11th, 7, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 164229, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 2597, 0, 40, United-States, <=50K -35, Private, 240467, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 263614, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 74500, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Federal-gov, 263502, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Federal-gov, 47707, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 231638, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -55, ?, 389479, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 111128, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 152307, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -23, ?, 280134, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 609789, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, ?, <=50K -41, Private, 184466, 11th, 7, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, <=50K -44, Private, 216411, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Dominican-Republic, <=50K -48, Self-emp-not-inc, 324173, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -35, Local-gov, 300681, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 7298, 0, 35, United-States, >50K -43, Local-gov, 598995, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 42, United-States, <=50K -57, Federal-gov, 140711, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Local-gov, 262241, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 308136, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 148590, 10th, 6, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 195635, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 38, United-States, <=50K -30, Private, 228406, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 136398, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Thailand, >50K -21, ?, 305466, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 70, United-States, <=50K -50, Self-emp-inc, 175070, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Self-emp-not-inc, 34007, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K -33, Private, 121195, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 50, United-States, <=50K -23, Federal-gov, 216853, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K -35, Private, 81280, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, Yugoslavia, >50K -18, Private, 212936, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -21, ?, 213055, Some-college, 10, Never-married, ?, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K -33, Local-gov, 220430, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K -30, Federal-gov, 73514, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 45, United-States, <=50K -21, Private, 307371, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 15, United-States, <=50K -36, Local-gov, 380614, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, Germany, >50K -38, Private, 119992, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 192002, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, Canada, >50K -24, Private, 327518, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 220323, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 421633, Some-college, 10, Divorced, Protective-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -43, Private, 154210, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 2829, 0, 60, China, <=50K -43, Self-emp-not-inc, 35034, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 21, United-States, <=50K -62, ?, 378239, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K -30, State-gov, 270218, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 254933, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 61751, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -22, Private, 137876, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -73, Private, 336007, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2246, 40, United-States, >50K -26, Private, 222539, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 233856, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K -18, Private, 198616, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 20, United-States, <=50K -35, Private, 202027, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 7298, 0, 35, United-States, >50K -22, Private, 203182, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -28, Private, 221317, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -38, Private, 186934, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -68, ?, 351402, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K -40, Local-gov, 179580, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 26803, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K -42, Private, 344624, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 50, United-States, >50K -31, State-gov, 59969, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 162930, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, Italy, <=50K -54, Self-emp-not-inc, 192654, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -63, Private, 117681, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -67, Self-emp-not-inc, 179285, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 217161, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 14, United-States, <=50K -67, Self-emp-inc, 116517, Bachelors, 13, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 170336, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 0, 19, United-States, <=50K -33, Local-gov, 256529, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 80, United-States, <=50K -25, Local-gov, 227886, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 141706, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 361888, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 185407, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -35, Self-emp-not-inc, 176101, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, >50K -18, Private, 216730, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -54, ?, 155755, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 4416, 0, 25, United-States, <=50K -30, Private, 609789, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, Mexico, <=50K -29, Private, 136017, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -41, Private, 58880, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 10, United-States, >50K -40, Private, 285787, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 173243, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K -39, Private, 160916, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 45, United-States, <=50K -42, Private, 227397, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -49, Self-emp-not-inc, 111066, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 189924, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 31740, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 120837, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 48, United-States, <=50K -31, Private, 172304, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -72, ?, 166253, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 2, United-States, <=50K -31, Private, 86492, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, >50K -90, Private, 206667, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -27, Self-emp-not-inc, 153546, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, ?, 189041, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 115932, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K -27, Local-gov, 151626, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 37302, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 109001, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 195488, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K -43, Local-gov, 216116, Masters, 14, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -26, Private, 118497, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Self-emp-not-inc, 101233, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, <=50K -41, Private, 349703, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -32, Private, 226883, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K -23, Private, 214635, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 169672, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -42, Private, 71458, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, State-gov, 142621, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4101, 0, 40, United-States, <=50K -34, Private, 125279, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 197303, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Local-gov, 148995, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 4787, 0, 45, United-States, >50K -34, Private, 69251, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -39, Private, 160123, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 137310, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, ?, <=50K -25, Private, 323229, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 138626, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 2174, 0, 50, United-States, <=50K -46, Private, 102359, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 151888, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 4650, 0, 50, Ireland, <=50K -37, Private, 404661, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 99146, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -38, Self-emp-not-inc, 185325, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Self-emp-not-inc, 230268, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 38819, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 380614, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 13, United-States, >50K -45, Private, 319637, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -71, Private, 149040, 12th, 8, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 320984, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -19, ?, 117201, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 22, United-States, <=50K -38, Private, 81965, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Local-gov, 182302, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 53434, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -48, Private, 216214, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 24127, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, >50K -32, Federal-gov, 115066, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 120277, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -57, Self-emp-not-inc, 134286, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -55, Private, 26716, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -48, ?, 174533, 11th, 7, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 175958, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, ?, <=50K -36, Private, 218948, 9th, 5, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -66, Private, 117746, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 206199, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 89922, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -62, Private, 69867, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -31, Private, 109020, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Other, Male, 0, 0, 40, United-States, <=50K -77, ?, 158847, Assoc-voc, 11, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -25, Private, 130302, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 156728, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 56, United-States, <=50K -33, Private, 424719, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Federal-gov, 217647, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 33087, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 241895, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 38455, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 81054, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 163215, 12th, 8, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 156728, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 127930, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -46, Federal-gov, 227310, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -24, Private, 96844, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K -18, Private, 245199, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 46385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 186385, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -55, Private, 252714, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 154897, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -41, Private, 320744, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 138852, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -48, Private, 102092, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, ?, 32533, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 278151, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 338290, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 34378, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 91959, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -36, Private, 265881, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 276009, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 30, Philippines, <=50K -27, Private, 193898, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 139364, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -47, State-gov, 306473, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 37232, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -19, State-gov, 56424, 12th, 8, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -33, Private, 165235, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Thailand, <=50K -34, Private, 153326, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 106976, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 109015, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -59, Private, 154100, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 27828, 0, 45, United-States, >50K -36, Private, 183739, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Female, 0, 2002, 40, United-States, <=50K -60, Private, 367695, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Local-gov, 156015, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 185132, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -20, Self-emp-not-inc, 188274, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -28, Local-gov, 50512, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 2202, 0, 50, United-States, <=50K -24, State-gov, 147719, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K -31, Private, 414525, 12th, 8, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -38, Private, 289148, HS-grad, 9, Married-spouse-absent, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 176069, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -55, State-gov, 199713, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K -49, Private, 297884, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4064, 0, 50, United-States, <=50K -33, Private, 204829, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -52, Private, 155433, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, ?, <=50K -24, Local-gov, 32950, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -46, Private, 233511, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -20, Private, 210781, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -50, Private, 190762, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -22, Private, 83315, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 343872, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 35, Haiti, <=50K -46, Private, 185385, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -62, ?, 302142, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2961, 0, 30, United-States, <=50K -39, Private, 80324, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 62, United-States, >50K -26, Private, 357933, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -20, Private, 211293, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 14, United-States, <=50K -37, Self-emp-inc, 199265, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 202872, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -22, Private, 195075, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K -32, Private, 317378, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 10520, 0, 40, United-States, >50K -41, Private, 187802, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 97212, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 47902, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, State-gov, 76767, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 39, United-States, >50K -42, Private, 172297, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K -56, Private, 274475, 9th, 5, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 105244, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -55, Local-gov, 165695, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 253801, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 305597, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 352448, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 242768, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -49, Self-emp-inc, 201080, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -18, Local-gov, 159032, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 149568, 9th, 5, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 229553, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 20, ?, <=50K -24, State-gov, 155775, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 120074, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 257588, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 177907, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 65, United-States, <=50K -40, Private, 309311, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 138975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -43, Self-emp-not-inc, 187778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -19, Private, 35865, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -50, Private, 234373, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, <=50K -17, ?, 151141, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -39, Private, 144688, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 50, United-States, <=50K -43, Private, 248094, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 248094, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 213821, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -31, State-gov, 55849, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 121712, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Federal-gov, 164552, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1876, 40, United-States, <=50K -55, Private, 223127, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 190514, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 75, United-States, <=50K -29, Private, 203797, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 378460, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 10520, 0, 60, United-States, >50K -30, Private, 105908, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 232356, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 55, United-States, <=50K -23, Private, 210526, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -71, Private, 193530, 11th, 7, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 75, United-States, <=50K -22, ?, 22966, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -21, Private, 43535, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, ?, 72486, HS-grad, 9, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 24, China, <=50K -22, ?, 229997, Some-college, 10, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Private, 183013, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 113364, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 197380, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 298635, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, >50K -26, Private, 213385, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -30, ?, 108464, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 31007, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 35917, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 99385, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -50, Private, 48358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -31, Private, 241885, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 24344, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 149686, 9th, 5, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, State-gov, 154432, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 331875, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Dominican-Republic, <=50K -26, Private, 259585, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -51, Private, 104748, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Local-gov, 144949, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, State-gov, 199512, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 302438, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, ?, 129155, 11th, 7, Widowed, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -49, Federal-gov, 115784, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 96509, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -62, Private, 226733, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Self-emp-inc, 244945, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -76, Private, 243768, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -40, ?, 351161, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 186934, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 89813, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -54, Self-emp-inc, 129432, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -55, Self-emp-not-inc, 184702, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 275291, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 12, United-States, <=50K -20, Private, 258298, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 139743, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 102476, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 10520, 0, 64, United-States, >50K -20, Private, 103840, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 42, United-States, <=50K -28, Private, 274579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -56, Federal-gov, 156842, Some-college, 10, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 101020, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Federal-gov, 68729, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -55, Private, 141326, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-not-inc, 168723, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 347166, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 13550, 0, 45, United-States, >50K -34, Local-gov, 213722, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 57, United-States, >50K -42, Private, 196797, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -50, Self-emp-inc, 207246, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 75, United-States, <=50K -34, Federal-gov, 199934, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -23, Private, 272185, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 33, United-States, <=50K -27, ?, 190650, Bachelors, 13, Never-married, ?, Unmarried, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K -81, ?, 147097, Bachelors, 13, Widowed, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K -47, Private, 266281, 11th, 7, Never-married, Machine-op-inspct, Unmarried, Black, Female, 6849, 0, 40, United-States, <=50K -57, Private, 96779, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, ?, 117162, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 56, United-States, >50K -33, Private, 188352, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -37, Private, 359131, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -53, Private, 198824, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, State-gov, 68393, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 115613, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 45363, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 121590, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 4787, 0, 40, United-States, >50K -58, Local-gov, 292379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 482732, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 24, United-States, <=50K -19, Private, 198663, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 230329, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -51, Private, 29887, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -52, Private, 194259, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -53, Private, 126368, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -50, Private, 108446, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 220696, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 32008, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 72, United-States, <=50K -30, Private, 191777, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -50, Private, 185846, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -76, Private, 127016, 7th-8th, 4, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 102308, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 40, United-States, >50K -24, Private, 157894, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 345405, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 94156, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -50, Private, 145409, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -22, Private, 190968, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 2407, 0, 40, United-States, <=50K -23, Local-gov, 212803, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -51, Private, 168660, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 234481, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 131461, 9th, 5, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 24, Haiti, <=50K -45, Private, 408773, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 126117, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 155489, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -42, Private, 296749, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -44, State-gov, 185832, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 46, United-States, >50K -60, Private, 43235, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 213152, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 334267, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -61, ?, 253101, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -43, Private, 64631, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -44, Local-gov, 193882, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K -63, Private, 71800, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K -46, Local-gov, 170092, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -47, Private, 198223, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 359796, Some-college, 10, Divorced, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 110556, HS-grad, 9, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 196858, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -48, ?, 112860, 10th, 6, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, <=50K -61, Self-emp-not-inc, 224784, Assoc-acdm, 12, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 90, United-States, <=50K -53, Federal-gov, 271544, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 1977, 40, United-States, >50K -79, ?, 142171, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 1409, 0, 35, United-States, <=50K -44, Private, 221172, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -54, Private, 256916, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 157332, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 192894, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, >50K -18, Private, 240183, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 204338, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -24, Private, 122166, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Iran, <=50K -37, Local-gov, 397877, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 115066, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 2547, 40, United-States, >50K -35, Self-emp-not-inc, 170174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 60, United-States, >50K -59, Private, 171015, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 34, United-States, <=50K -46, Private, 91262, Some-college, 10, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -45, Local-gov, 127678, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 263338, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -22, Private, 129508, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 28, United-States, <=50K -41, Private, 192107, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 93930, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Federal-gov, 207537, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -22, Private, 138542, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Self-emp-not-inc, 116207, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K -22, Private, 198244, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -34, Private, 90614, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 2042, 10, United-States, <=50K -23, Private, 211160, 12th, 8, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 194630, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3781, 0, 50, United-States, <=50K -25, Private, 161478, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -59, Private, 144071, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 167005, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 55, United-States, <=50K -55, Private, 342121, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -77, Self-emp-not-inc, 71676, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 1944, 1, United-States, <=50K -42, Private, 124692, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 147236, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 145175, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 259323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 154978, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -60, ?, 163946, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 127768, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 98588, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 192894, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 194848, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 34446, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -23, Local-gov, 177265, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 45, United-States, <=50K -30, Private, 142977, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -45, Private, 241350, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K -30, Private, 154882, Prof-school, 15, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -17, Private, 60562, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -22, Private, 142566, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 176162, Bachelors, 13, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 186303, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, Canada, >50K -40, Private, 237671, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -18, ?, 184416, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -58, Private, 68624, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 229504, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -59, Private, 340591, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3942, 0, 40, United-States, <=50K -29, Private, 262208, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 30, Jamaica, <=50K -26, Private, 236008, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Local-gov, 214284, Bachelors, 13, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 10, Japan, <=50K -33, Private, 169496, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -21, ?, 205940, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 195179, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K -25, Private, 469697, Some-college, 10, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 140242, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 214415, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 452283, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 244172, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 231972, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 412296, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, >50K -32, Private, 30497, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 189216, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -36, Private, 268292, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K -38, Private, 69306, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -57, State-gov, 111224, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 39, United-States, <=50K -22, State-gov, 309348, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -80, ?, 174995, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, Canada, <=50K -20, Private, 210781, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 286750, 11th, 7, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K -36, Self-emp-not-inc, 321274, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 192936, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 72743, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Private, 187861, HS-grad, 9, Separated, Transport-moving, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -35, Private, 179579, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 663394, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 302422, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, ?, 154373, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K -49, Local-gov, 37353, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Self-emp-not-inc, 109609, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 184402, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -20, Private, 224640, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 405526, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 36385, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2258, 50, United-States, <=50K -20, Private, 147884, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 164231, 11th, 7, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K -25, Private, 383306, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 417668, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 36, United-States, <=50K -25, Private, 161007, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -63, State-gov, 99823, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 32, United-States, <=50K -25, Private, 37379, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 148645, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 180477, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -28, Private, 123147, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K -30, Private, 111415, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Local-gov, 107327, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Local-gov, 146565, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 4865, 0, 30, United-States, <=50K -36, Private, 267556, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K -47, Private, 284871, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -27, Private, 194690, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, Mexico, <=50K -32, Federal-gov, 145983, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 163998, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 45, United-States, >50K -50, Private, 128478, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K -21, Private, 250647, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 30, Nicaragua, <=50K -60, Private, 226949, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -47, Private, 157901, 11th, 7, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 36, United-States, <=50K -54, Self-emp-not-inc, 33863, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Local-gov, 40444, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 54373, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 52753, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1504, 40, United-States, <=50K -29, Self-emp-not-inc, 104423, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 4386, 0, 45, United-States, >50K -36, Local-gov, 305714, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 70, United-States, <=50K -38, Local-gov, 167440, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -59, Private, 291529, 10th, 6, Widowed, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -43, Private, 243380, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 38619, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -42, Private, 230684, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 40, United-States, <=50K -33, Private, 132601, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 193285, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 5013, 0, 40, United-States, <=50K -51, Private, 279156, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -28, Private, 339372, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 101265, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -23, Private, 117789, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -31, Private, 312667, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 255503, 11th, 7, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -21, Private, 221955, 9th, 5, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -22, Private, 139190, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 185556, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -53, Federal-gov, 84278, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -40, Private, 114580, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 24, United-States, >50K -36, Private, 185405, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Self-emp-not-inc, 199539, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -23, Private, 346480, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -51, Local-gov, 349431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, United-States, >50K -31, Private, 219619, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 48, United-States, <=50K -28, Local-gov, 127491, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 5721, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 253899, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 155232, Bachelors, 13, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K -43, Private, 182437, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -19, Private, 530454, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -46, Private, 101430, 11th, 7, Divorced, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -49, Local-gov, 358668, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Private, 90668, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 126141, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 238355, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -22, Private, 194031, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -25, Private, 117833, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K -46, Private, 249686, Prof-school, 15, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -44, Self-emp-not-inc, 219591, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 221757, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 80625, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 185407, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 163110, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -34, ?, 24504, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 159187, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 55, United-States, >50K -21, Private, 100462, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 2174, 0, 60, United-States, <=50K -27, Private, 192936, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 145011, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-inc, 181196, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-not-inc, 37778, Masters, 14, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -27, Private, 60288, Masters, 14, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 84231, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, United-States, <=50K -24, Private, 52028, 1st-4th, 2, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 5, Vietnam, <=50K -63, Private, 318763, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 22, United-States, <=50K -29, Private, 168138, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 113530, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 321896, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 145791, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 131425, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 145214, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 4650, 0, 20, United-States, <=50K -64, Local-gov, 142166, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 99, United-States, <=50K -20, Private, 494784, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -44, Self-emp-not-inc, 172479, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 60, United-States, >50K -35, Private, 184655, 11th, 7, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Local-gov, 26669, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 191479, Some-college, 10, Divorced, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 86625, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, ?, <=50K -64, State-gov, 111795, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -42, Private, 242564, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2205, 40, United-States, <=50K -31, Private, 364657, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, >50K -42, Self-emp-not-inc, 436107, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 272476, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, >50K -36, Federal-gov, 47310, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, >50K -23, Private, 283796, 12th, 8, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K -20, Private, 161092, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 14, United-States, <=50K -26, Local-gov, 265230, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -56, Federal-gov, 61885, Bachelors, 13, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 2001, 65, United-States, <=50K -40, Private, 150471, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 183041, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K -33, Private, 176673, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -45, Federal-gov, 235891, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Columbia, <=50K -41, Private, 163287, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 43, United-States, >50K -29, Private, 164040, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 324561, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -48, Private, 99127, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 334999, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 543477, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 65876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 105866, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, United-States, <=50K -27, Private, 214858, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 154076, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -70, Private, 280307, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, Cuba, <=50K -30, Private, 97723, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 233499, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -76, Local-gov, 259612, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 15, United-States, <=50K -25, Private, 236977, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -39, Private, 347814, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 56, United-States, <=50K -36, Local-gov, 197495, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 227594, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 165441, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 337488, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -54, Private, 167552, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Haiti, >50K -20, Private, 396722, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Federal-gov, 146538, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 51973, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 144778, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 169672, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 240137, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K -54, State-gov, 103179, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -17, Private, 172050, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -43, Private, 178976, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 176185, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2258, 42, United-States, <=50K -30, Private, 158200, Prof-school, 15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K -38, Federal-gov, 172571, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-not-inc, 226735, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 45, United-States, <=50K -39, Private, 148015, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 52, United-States, <=50K -32, Private, 199529, Some-college, 10, Separated, Tech-support, Not-in-family, Amer-Indian-Eskimo, Male, 0, 1980, 40, United-States, <=50K -61, Local-gov, 35001, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2885, 0, 40, United-States, <=50K -24, ?, 67586, Assoc-voc, 11, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 35, United-States, <=50K -22, Private, 88126, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 226296, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 452452, 10th, 6, Never-married, Priv-house-serv, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -20, Private, 378546, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K -53, Federal-gov, 186087, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 27856, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -68, Self-emp-not-inc, 234859, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 71733, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -28, Private, 207473, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -54, Private, 179291, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 56, Haiti, >50K -21, ?, 253190, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 48, United-States, <=50K -52, Private, 92968, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, ?, <=50K -25, Private, 209286, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 122889, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K -33, Private, 112358, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -49, Private, 176341, Bachelors, 13, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K -58, Private, 247276, 7th-8th, 4, Widowed, Other-service, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K -45, Private, 276087, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K -67, Private, 257557, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 10566, 0, 40, United-States, <=50K -42, Local-gov, 177937, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -69, Self-emp-inc, 106395, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Private, 167138, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 213887, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 185647, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 143360, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 34, United-States, <=50K -31, Self-emp-not-inc, 176862, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Federal-gov, 97614, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -76, ?, 224680, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 1258, 20, United-States, <=50K -53, Private, 196763, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -46, Private, 306183, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -43, Self-emp-not-inc, 343061, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4508, 0, 40, Cuba, <=50K -48, ?, 193047, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 348521, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 99, United-States, >50K -59, Private, 195835, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 106273, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K -40, Private, 222756, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Self-emp-inc, 110610, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, ?, 191982, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 10, Poland, <=50K -46, Private, 247286, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 219042, 10th, 6, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 224566, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1669, 45, United-States, <=50K -57, Private, 204751, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 113398, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -25, ?, 170428, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 28, Taiwan, <=50K -59, Private, 258579, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 35, United-States, >50K -36, Private, 162424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 263005, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Germany, <=50K -49, Self-emp-inc, 26502, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 6497, 0, 45, United-States, <=50K -42, Private, 369131, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -43, Local-gov, 114859, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 17, United-States, <=50K -46, Private, 405309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 323627, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -40, Private, 106698, Assoc-acdm, 12, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 51506, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 117251, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -26, Private, 106705, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 28, United-States, <=50K -30, Private, 217296, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -58, Private, 34788, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -43, Private, 143368, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 86600, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -74, State-gov, 117017, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K -64, ?, 104756, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 8, United-States, <=50K -45, Private, 55720, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -32, State-gov, 481096, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 10, United-States, <=50K -23, ?, 281668, 10th, 6, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 186145, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Self-emp-not-inc, 96524, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Local-gov, 187397, Some-college, 10, Never-married, Protective-serv, Unmarried, Other, Male, 1151, 0, 40, United-States, <=50K -63, Private, 181153, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -25, Local-gov, 375170, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -37, Private, 360743, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 420054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K -31, Private, 137681, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 28419, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -44, Private, 101214, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 44, United-States, >50K -42, Local-gov, 213019, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -45, Private, 207540, Doctorate, 16, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K -52, Private, 145333, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 107306, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 195327, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 196126, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -17, Private, 175465, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 14, United-States, <=50K -27, Private, 197905, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, Self-emp-inc, 118119, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 50, United-States, >50K -35, Private, 172571, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 25051, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -26, Private, 210714, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 52, United-States, >50K -22, Private, 183083, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -51, Private, 99185, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -33, Private, 283921, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 396467, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K -50, Private, 158680, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 202091, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 285127, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 218630, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Self-emp-inc, 99309, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 165505, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -22, Private, 122272, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -58, Private, 147707, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -47, Federal-gov, 44257, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -51, Self-emp-inc, 194995, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -42, State-gov, 345969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -28, Private, 31842, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 143582, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Vietnam, <=50K -50, Private, 161438, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 317019, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -47, Self-emp-not-inc, 158451, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -60, Private, 225883, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 27, United-States, <=50K -46, Self-emp-not-inc, 176319, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Female, 7298, 0, 40, United-States, >50K -58, Self-emp-inc, 258883, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -62, Private, 26966, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 202812, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -59, Private, 35411, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 190885, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -31, Private, 182162, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K -18, Private, 352640, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -64, Self-emp-not-inc, 213945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Self-emp-not-inc, 135102, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -47, Self-emp-not-inc, 102583, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -68, Private, 225612, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, >50K -32, Private, 241802, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Other, Female, 0, 0, 40, United-States, <=50K -39, Private, 347434, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 43, Mexico, <=50K -37, Private, 305259, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -29, Private, 140830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 291568, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Other, Male, 0, 0, 40, United-States, <=50K -46, Private, 203067, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 155106, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -19, ?, 252752, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -65, ?, 404601, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2414, 0, 30, United-States, <=50K -52, Local-gov, 100226, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -40, Private, 63503, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Private, 95929, 9th, 5, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 187618, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -61, Self-emp-not-inc, 92178, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 220362, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, >50K -32, Local-gov, 209900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K -32, Private, 272376, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 173854, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Male, 0, 0, 35, United-States, >50K -37, Private, 278924, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 324568, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -51, Self-emp-inc, 124963, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 211299, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -48, Private, 192791, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -69, Private, 182862, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 15831, 0, 40, United-States, >50K -28, Private, 46868, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Local-gov, 31365, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -45, Private, 148171, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K -18, Private, 142647, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -60, Private, 116230, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 108907, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, ?, <=50K -19, Private, 495982, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K -18, Private, 334026, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K -33, Private, 268571, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 213813, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 241667, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -37, Private, 160920, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 107265, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -19, ?, 41609, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K -28, Private, 129460, 10th, 6, Widowed, Adm-clerical, Unmarried, White, Female, 0, 2238, 35, United-States, <=50K -43, ?, 109912, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 7, United-States, >50K -23, Private, 167424, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -47, Private, 270079, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 325923, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K -19, Private, 194905, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -47, Local-gov, 183486, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -36, Federal-gov, 153066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Self-emp-inc, 56248, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2415, 60, United-States, >50K -65, Private, 105252, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Self-emp-not-inc, 168195, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, >50K -35, Private, 167735, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 6849, 0, 40, United-States, <=50K -50, Private, 146310, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 256504, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 6, United-States, <=50K -17, Private, 121425, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -33, Private, 146440, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -57, ?, 155259, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 98829, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Self-emp-inc, 239321, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Self-emp-inc, 134768, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 556902, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 47907, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -23, Private, 114357, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 189462, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1504, 45, United-States, <=50K -39, Private, 90646, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 232914, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 38, United-States, <=50K -24, Private, 192201, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -23, Private, 27776, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 137476, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K -30, Private, 100734, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 38, United-States, <=50K -34, Private, 111746, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Portugal, <=50K -32, Private, 184833, 10th, 6, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 414721, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 1602, 23, United-States, <=50K -20, Private, 151780, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -38, State-gov, 203628, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -18, Private, 137363, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 172307, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 273403, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -36, State-gov, 37931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, >50K -61, Private, 97030, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -30, Private, 54608, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -26, Private, 108542, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 253814, Bachelors, 13, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -45, Private, 421412, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -47, Private, 207140, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -19, Private, 138153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -29, Private, 46987, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -51, Self-emp-inc, 183173, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -34, Local-gov, 229531, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Self-emp-not-inc, 320744, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 45, United-States, <=50K -26, Private, 257405, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, Mexico, <=50K -20, State-gov, 432052, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -43, Private, 397280, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -20, Private, 38001, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -27, Private, 101618, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Federal-gov, 332727, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 115215, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 178449, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K -42, Private, 185267, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 32, United-States, <=50K -23, Private, 410439, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -29, Private, 85572, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 42, United-States, >50K -27, Private, 83517, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -43, Self-emp-not-inc, 194726, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 322674, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Local-gov, 34540, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -35, Local-gov, 211073, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 61, United-States, >50K -30, Private, 194901, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 117059, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -65, Self-emp-not-inc, 78875, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2290, 0, 40, United-States, <=50K -28, Private, 51461, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -79, Private, 266119, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 92374, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, United-States, >50K -54, Private, 175262, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 208249, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 62, United-States, <=50K -30, Private, 196385, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K -22, ?, 110622, Bachelors, 13, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, Taiwan, <=50K -34, Private, 146980, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 65, United-States, <=50K -18, Private, 112974, 11th, 7, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 3, United-States, <=50K -40, Self-emp-not-inc, 175943, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 15, United-States, >50K -28, Private, 163265, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 40, United-States, <=50K -18, Private, 210932, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 145290, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 198992, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -77, ?, 174887, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -41, Federal-gov, 36651, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 40, United-States, >50K -48, Private, 190072, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -29, Private, 49087, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 126622, 11th, 7, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 174189, 9th, 5, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 118605, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -49, Self-emp-not-inc, 377622, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 157272, HS-grad, 9, Separated, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 78530, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 190391, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, State-gov, 162678, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 103980, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, <=50K -20, Private, 293726, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 98350, Preschool, 1, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -30, Private, 207668, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 60, Hungary, <=50K -29, Federal-gov, 41013, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -50, Private, 188186, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 1590, 45, United-States, <=50K -44, Federal-gov, 320071, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 306908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -62, Private, 167652, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 173580, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 273612, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -26, Private, 195555, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 186446, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 418405, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Local-gov, 41793, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, ?, <=50K -26, Private, 183965, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 354784, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -44, Private, 198096, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -32, Private, 732102, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 97847, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 196678, Preschool, 1, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -19, Private, 320014, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -54, Self-emp-inc, 298215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 295127, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 368140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Self-emp-not-inc, 187411, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, ?, <=50K -22, ?, 121070, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 212163, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K -35, Self-emp-not-inc, 108198, HS-grad, 9, Divorced, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 15, United-States, <=50K -42, Federal-gov, 294431, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Federal-gov, 202560, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -29, Self-emp-inc, 266070, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -34, Private, 346122, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-inc, 308686, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K -62, Self-emp-inc, 236096, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 187711, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 238959, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 93557, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 329980, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 125010, Assoc-voc, 11, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -60, Self-emp-inc, 90915, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 289731, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -74, ?, 33114, 10th, 6, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 1797, 0, 30, United-States, <=50K -63, Private, 206052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 191385, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, ?, 268804, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K -40, Self-emp-inc, 191429, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -35, Self-emp-not-inc, 199753, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K -50, Local-gov, 92486, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 171088, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K -33, Private, 112820, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 32855, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -17, Private, 142964, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -47, Private, 89146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -51, ?, 147015, Some-college, 10, Divorced, ?, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -26, Private, 291968, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 29235, Some-college, 10, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 40, France, >50K -55, Private, 238216, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 323726, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -54, Private, 141663, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -19, ?, 218471, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 1602, 30, United-States, <=50K -32, Private, 118551, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -52, Local-gov, 35092, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 139703, HS-grad, 9, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 28, Jamaica, <=50K -39, Federal-gov, 206190, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -59, Self-emp-not-inc, 178353, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -55, Federal-gov, 169133, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 103179, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Private, 354464, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 124651, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -30, Private, 60426, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 98726, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 133861, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 180303, Bachelors, 13, Divorced, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 47, Iran, <=50K -33, Private, 221324, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 325658, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 210562, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 152249, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K -29, Private, 178649, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 20, France, <=50K -41, State-gov, 48997, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 243409, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 162442, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -23, Private, 203078, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 24, United-States, <=50K -53, Self-emp-inc, 155983, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -45, Self-emp-not-inc, 182677, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K -34, ?, 170276, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 10, United-States, >50K -47, Private, 105381, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, ?, 256240, 7th-8th, 4, Married-civ-spouse, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -42, Private, 210275, Masters, 14, Divorced, Tech-support, Unmarried, Black, Female, 4687, 0, 35, United-States, >50K -53, Private, 150980, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, United-States, <=50K -38, Self-emp-inc, 141584, HS-grad, 9, Divorced, Sales, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 113571, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -18, Private, 154089, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 50197, 10th, 6, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 132572, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 32, United-States, <=50K -47, Private, 238185, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 112754, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K -21, ?, 357029, Some-college, 10, Married-civ-spouse, ?, Wife, Black, Female, 2105, 0, 20, United-States, <=50K -32, State-gov, 213389, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 1726, 38, United-States, <=50K -48, Self-emp-inc, 287647, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 55, United-States, >50K -39, Private, 150061, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 15020, 0, 60, United-States, >50K -58, Self-emp-inc, 143266, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 68006, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Female, 0, 0, 60, United-States, <=50K -40, Private, 287079, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -33, Private, 223212, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -74, Self-emp-not-inc, 173929, Doctorate, 16, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 25, United-States, >50K -49, Self-emp-not-inc, 182211, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -56, Self-emp-not-inc, 62539, 11th, 7, Widowed, Other-service, Unmarried, White, Female, 0, 0, 65, Greece, >50K -29, Private, 157612, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 14344, 0, 40, United-States, >50K -25, Private, 305472, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 48, United-States, <=50K -57, Private, 548256, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 40295, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 112403, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 2354, 0, 40, United-States, <=50K -59, Private, 31137, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 116138, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K -28, ?, 127833, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 240027, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -28, Private, 129882, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, ?, 355890, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, >50K -20, Private, 107658, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 10, Canada, <=50K -58, Private, 136841, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 35, United-States, >50K -19, Private, 146679, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -75, ?, 35724, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -24, Federal-gov, 42251, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -31, Private, 113838, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -28, Self-emp-not-inc, 282398, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -41, Private, 33331, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Federal-gov, 41031, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -46, Private, 155489, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, >50K -33, Private, 53042, 12th, 8, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 174789, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Local-gov, 203067, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -81, Private, 177408, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 26, United-States, >50K -45, Private, 216626, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Other, Male, 0, 0, 40, Columbia, <=50K -35, Private, 93034, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K -59, Self-emp-not-inc, 188003, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -46, Local-gov, 65535, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -39, Private, 366757, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 414545, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 295919, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 34378, 1st-4th, 2, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 58359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -25, Private, 476334, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -32, Private, 255424, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Local-gov, 175856, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 124692, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 118551, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -78, ?, 292019, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 288566, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, >50K -61, Private, 137733, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -22, Private, 39432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 138537, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K -37, Private, 709445, HS-grad, 9, Separated, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 194809, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-inc, 89041, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -37, ?, 299090, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -18, Private, 159561, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 236328, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -46, Private, 269045, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -25, ?, 196627, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Federal-gov, 323798, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 463072, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 199655, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Other, Female, 0, 1740, 40, ?, <=50K -25, Self-emp-inc, 98756, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 50, United-States, <=50K -50, State-gov, 161075, HS-grad, 9, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 192485, 12th, 8, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -25, Private, 201579, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -23, Private, 117606, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, ?, 177487, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 237731, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2829, 0, 65, United-States, <=50K -37, Private, 60313, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 270059, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 25236, 0, 25, United-States, >50K -27, Private, 169958, 5th-6th, 3, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, ?, <=50K -19, Private, 240686, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -52, Local-gov, 124793, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Self-emp-not-inc, 113948, Assoc-voc, 11, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K -17, ?, 241021, 12th, 8, Never-married, ?, Own-child, Other, Female, 0, 0, 40, United-States, <=50K -21, Private, 147655, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 38876, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -55, Private, 117299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -20, ?, 114813, 10th, 6, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 136310, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Federal-gov, 153132, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -23, Private, 197552, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 69748, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 175738, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -50, State-gov, 78649, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 188774, 11th, 7, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 60, ?, <=50K -48, Private, 155659, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -19, Federal-gov, 215891, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -40, Private, 144928, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 33688, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Female, 0, 1669, 70, United-States, <=50K -65, Private, 262446, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -44, Federal-gov, 191295, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 48, United-States, <=50K -32, Private, 279173, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 153031, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -28, Private, 202239, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -44, Federal-gov, 469454, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 48, United-States, >50K -39, Local-gov, 164156, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -59, Private, 196482, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 176185, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, France, >50K -34, Private, 287315, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 117210, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 41610, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 160703, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K -31, Private, 80511, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -39, Private, 219155, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K -35, Private, 106347, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Self-emp-not-inc, 68899, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2129, 40, United-States, <=50K -44, Self-emp-not-inc, 163985, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, >50K -28, Private, 270887, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -17, Private, 205726, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -23, Private, 218899, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K -35, Private, 186183, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 80, United-States, >50K -19, Private, 248749, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -30, Private, 197558, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 176514, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, ?, 116820, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 128730, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Male, 10520, 0, 65, Greece, >50K -37, Private, 215503, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 45, United-States, >50K -44, Private, 226129, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 175856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 55, United-States, >50K -43, Private, 281138, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 98061, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 260560, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 289909, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 59590, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 236769, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 423616, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 24, United-States, >50K -24, Private, 291407, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -53, Self-emp-inc, 100029, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 204494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 56, United-States, >50K -24, Private, 201680, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 154308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -31, Private, 150324, 11th, 7, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Local-gov, 331609, Some-college, 10, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 47, United-States, <=50K -28, Private, 100829, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -38, Private, 203169, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 122075, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 178778, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 276345, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -48, Private, 233511, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 289448, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -31, Private, 173350, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 130589, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -62, Private, 94318, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 297531, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 129762, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 182614, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, Poland, <=50K -60, Private, 120067, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 182370, Assoc-acdm, 12, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 60949, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 190511, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 188195, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 89534, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 125831, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 55, United-States, >50K -23, Private, 183358, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -38, ?, 75024, 7th-8th, 4, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 251120, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, England, <=50K -35, Private, 108946, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 93223, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -61, Private, 147393, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -71, ?, 45801, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K -35, State-gov, 225385, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Federal-gov, 23892, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 179668, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Scotland, <=50K -27, Self-emp-not-inc, 404998, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 68882, 1st-4th, 2, Widowed, Other-service, Unmarried, White, Female, 0, 0, 35, Portugal, <=50K -55, Self-emp-not-inc, 194065, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 357540, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2002, 55, United-States, <=50K -33, Private, 185336, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -25, State-gov, 152503, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 167794, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -46, Private, 96552, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 17, United-States, <=50K -34, Private, 169527, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 4386, 0, 20, United-States, <=50K -52, State-gov, 254285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 32509, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 125492, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 186035, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -69, ?, 168794, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, <=50K -34, Private, 191856, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 40, United-States, >50K -36, Private, 215503, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -31, Private, 187560, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 2174, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 252752, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 2415, 40, United-States, >50K -38, Local-gov, 210991, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -57, Local-gov, 190748, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 117767, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -37, Private, 301070, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -69, Self-emp-not-inc, 204645, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 9386, 0, 72, United-States, >50K -39, Private, 186183, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 131808, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, State-gov, 156292, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 124589, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 262819, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -61, Private, 95500, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 241306, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 238680, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 55, Outlying-US(Guam-USVI-etc), <=50K -18, ?, 42293, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -41, Local-gov, 168071, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 337629, 12th, 8, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, ?, >50K -52, Private, 168001, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -38, Private, 97759, 12th, 8, Never-married, Other-service, Unmarried, White, Female, 0, 0, 17, United-States, <=50K -51, Self-emp-not-inc, 107096, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 76860, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -20, Private, 70076, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 312017, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 174138, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 125892, Bachelors, 13, Divorced, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 210474, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, State-gov, 157332, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -28, Private, 30771, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 319768, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, France, >50K -34, Private, 209101, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 55, United-States, >50K -25, Private, 324609, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 268234, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Local-gov, 178109, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 43, United-States, <=50K -31, Private, 25955, 9th, 5, Never-married, Craft-repair, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K -65, ?, 123484, HS-grad, 9, Widowed, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -56, Local-gov, 129762, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -22, Self-emp-not-inc, 108506, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 75, United-States, <=50K -27, Private, 241607, Bachelors, 13, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -27, Federal-gov, 214385, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 183000, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 290763, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 171924, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K -19, Private, 97189, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 22, United-States, <=50K -42, Private, 195096, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K -37, Federal-gov, 329088, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 58371, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, ?, 256371, 12th, 8, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 35824, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 173271, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 391349, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -24, Private, 86153, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 295855, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -33, Self-emp-not-inc, 327902, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 285102, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, >50K -57, Private, 178353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Private, 28119, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 7, United-States, <=50K -42, Private, 197522, Some-college, 10, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 108542, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 35, United-States, <=50K -56, Private, 179781, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 126974, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 180060, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 50, United-States, <=50K -35, Local-gov, 38948, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 271572, 9th, 5, Never-married, Other-service, Other-relative, White, Male, 0, 0, 52, United-States, <=50K -41, Private, 177305, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 238367, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 172232, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -22, Private, 153805, HS-grad, 9, Never-married, Other-service, Unmarried, Other, Male, 0, 0, 20, Puerto-Rico, <=50K -30, Private, 26543, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 109067, Bachelors, 13, Separated, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 213716, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 149809, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -27, Private, 185670, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -43, Federal-gov, 233851, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -68, ?, 192052, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 2457, 40, United-States, <=50K -41, Private, 193524, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, <=50K -25, Private, 213385, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 38238, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 104438, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Ireland, >50K -17, Private, 202344, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -45, Self-emp-not-inc, 43434, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 102147, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -30, Private, 231826, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -49, State-gov, 247378, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -42, Private, 78765, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K -29, Private, 184078, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -21, Local-gov, 102942, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 2001, 40, United-States, <=50K -20, Private, 258430, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K -59, Private, 244554, 11th, 7, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -26, Private, 252565, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -25, Private, 262778, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -33, Private, 162572, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Private, 65706, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Federal-gov, 102569, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -66, Private, 350498, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 28, United-States, <=50K -67, ?, 159542, 5th-6th, 3, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 142383, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 36, United-States, <=50K -38, Private, 229236, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, Puerto-Rico, <=50K -72, Private, 56559, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K -21, Private, 27049, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -39, Private, 36376, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, Private, 194360, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -22, Private, 246965, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -49, Self-emp-inc, 191277, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -24, Private, 268525, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -25, Private, 456604, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 223464, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 341797, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 174461, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 392167, 10th, 6, Divorced, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -60, Private, 210064, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 233182, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K -77, Local-gov, 177550, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3818, 0, 14, United-States, <=50K -62, Private, 143312, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -22, Private, 326334, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 179088, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 207637, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -52, Federal-gov, 37289, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -31, Private, 36069, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -23, Federal-gov, 53245, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-inc, 399904, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 50, Mexico, <=50K -38, Self-emp-inc, 199346, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K -23, Private, 343019, 10th, 6, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, State-gov, 232742, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 390472, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 290124, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -23, Private, 242912, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 4650, 0, 40, United-States, <=50K -39, Private, 70240, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -38, Local-gov, 286405, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -25, Private, 153841, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 137367, Bachelors, 13, Never-married, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 44, Philippines, <=50K -66, Private, 313255, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K -30, Private, 100734, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 248584, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 60001, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 335065, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 30, Mexico, <=50K -20, Private, 219262, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 186830, HS-grad, 9, Never-married, Transport-moving, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K -34, Private, 226385, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 609789, Assoc-acdm, 12, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 307767, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 217460, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -30, Private, 104052, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 1741, 42, United-States, <=50K -41, Local-gov, 160893, Preschool, 1, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 68358, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -40, Self-emp-not-inc, 243636, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Self-emp-not-inc, 71269, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 71898, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K -38, ?, 212048, Prof-school, 15, Divorced, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -30, Local-gov, 115040, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -45, Private, 111994, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -25, Private, 210794, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, ?, 88126, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 570821, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, ?, 146196, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, State-gov, 169482, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 63577, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -22, Private, 208946, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 26598, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 189203, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 183892, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -82, ?, 194590, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -18, Private, 188616, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -60, Private, 116707, 11th, 7, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 99199, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -39, Local-gov, 183620, Some-college, 10, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K -34, Private, 110476, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 157043, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Female, 2202, 0, 30, ?, <=50K -53, Private, 150726, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 214695, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 60, United-States, <=50K -37, Private, 172694, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 50, United-States, <=50K -25, Private, 344804, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Mexico, <=50K -33, Private, 319422, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, Peru, <=50K -34, State-gov, 327902, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 438176, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -51, Private, 197656, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 219838, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 35561, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -25, ?, 156848, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 190257, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 156464, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 85, England, >50K -36, Private, 65624, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 201699, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 349910, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, >50K -88, Self-emp-not-inc, 187097, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 264314, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, Columbia, <=50K -40, Self-emp-not-inc, 282678, Masters, 14, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 188923, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 55, United-States, <=50K -46, Private, 114797, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female, 0, 0, 36, United-States, <=50K -56, Private, 245215, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Self-emp-not-inc, 36270, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -67, Self-emp-not-inc, 107138, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 77820, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 39477, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 58305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1573, 40, United-States, <=50K -23, Private, 359759, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -19, ?, 249147, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 44797, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -25, Private, 164488, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 48413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 261276, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 1602, 40, Cambodia, <=50K -31, Self-emp-not-inc, 36592, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 91, United-States, <=50K -33, Private, 280923, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Federal-gov, 29617, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 208802, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 36, United-States, >50K -35, Private, 189240, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, ?, 37932, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 181705, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 147548, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 85, United-States, <=50K -51, Self-emp-not-inc, 306784, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -45, ?, 260953, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, State-gov, 190406, Prof-school, 15, Divorced, Prof-specialty, Unmarried, Black, Male, 25236, 0, 36, United-States, >50K -24, Private, 230229, 5th-6th, 3, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -28, Private, 46987, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 2174, 0, 36, United-States, <=50K -63, Private, 301108, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 22, United-States, <=50K -35, Private, 263081, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, >50K -25, Self-emp-not-inc, 37741, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 115834, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 55, United-States, >50K -44, Private, 150076, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -49, Self-emp-not-inc, 148254, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -52, Private, 183611, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 258768, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 287658, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 95946, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 31267, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 302149, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K -28, Private, 250135, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 176073, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -65, Private, 23580, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 163665, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Federal-gov, 43953, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 144860, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -58, Self-emp-not-inc, 61474, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -57, Private, 141570, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1977, 40, United-States, >50K -40, Private, 225660, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K -42, Private, 336891, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 210164, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 171080, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 143342, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 281627, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 409922, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -65, ?, 224472, Prof-school, 15, Never-married, ?, Not-in-family, White, Male, 25124, 0, 80, United-States, >50K -29, Private, 157262, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -31, Private, 144949, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -71, Local-gov, 303860, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Male, 2050, 0, 20, United-States, <=50K -34, Private, 104293, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 195481, HS-grad, 9, Married-civ-spouse, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 193995, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -67, Private, 105216, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -40, Private, 147206, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 173585, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 18, United-States, <=50K -38, Private, 187870, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K -38, Private, 248919, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -42, Private, 280410, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, Haiti, <=50K -36, State-gov, 170861, HS-grad, 9, Separated, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K -23, Self-emp-not-inc, 409230, 1st-4th, 2, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 340171, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 41017, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K -22, Private, 416356, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 261504, 12th, 8, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, State-gov, 205555, Prof-school, 15, Divorced, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -44, Private, 245317, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K -38, Private, 153685, 11th, 7, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 52, United-States, <=50K -19, ?, 169758, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 99374, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -57, Local-gov, 139452, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -54, Private, 227832, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Self-emp-not-inc, 213024, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 30, United-States, <=50K -22, ?, 24008, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 72, United-States, <=50K -63, Self-emp-not-inc, 33487, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-inc, 187934, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 20, Poland, <=50K -26, Private, 421561, 11th, 7, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -40, Private, 109969, 11th, 7, Divorced, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -20, Private, 116830, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 117166, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2635, 0, 40, United-States, <=50K -28, Private, 106951, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -30, Private, 89625, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 5, United-States, >50K -42, Private, 194537, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 144002, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 202214, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 109762, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 292570, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -67, Private, 105252, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 7978, 0, 35, United-States, <=50K -65, Private, 94552, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Local-gov, 46401, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -18, Private, 151150, 10th, 6, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 27, United-States, <=50K -31, Private, 197689, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -36, Self-emp-inc, 180477, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 181761, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 381153, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 165474, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 39, United-States, <=50K -38, Federal-gov, 190174, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 295991, 10th, 6, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Without-pay, 198262, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 190385, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -30, ?, 411560, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 262116, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, <=50K -45, Private, 178922, 9th, 5, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -46, Private, 192963, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 2415, 35, Philippines, >50K -34, Self-emp-inc, 209538, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -21, Self-emp-not-inc, 103277, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 4508, 0, 30, Portugal, <=50K -17, Private, 216086, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 636017, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 155781, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 136873, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, State-gov, 122066, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K -27, State-gov, 346406, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 117915, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 19914, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 50, Philippines, <=50K -55, Private, 255364, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Private, 703107, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 62374, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -34, Private, 96245, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 348796, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 136873, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -35, Private, 388252, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 47783, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -62, Private, 194167, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 2174, 0, 40, United-States, <=50K -40, Federal-gov, 544792, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 434463, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -32, Private, 317219, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K -70, Private, 221603, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -23, Private, 233711, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 111567, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K -57, Private, 79830, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 192259, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -24, Private, 239663, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -41, Local-gov, 34987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -38, Self-emp-not-inc, 409189, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K -48, Private, 135525, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 152159, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 141363, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 214816, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 42907, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -30, Private, 161815, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -42, Private, 127314, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Private, 395368, Some-college, 10, Divorced, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -70, Private, 184176, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -37, Private, 112660, 9th, 5, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -51, Private, 183709, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 434114, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -59, Self-emp-not-inc, 165315, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 43, United-States, >50K -57, Private, 190997, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 335533, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 176146, 5th-6th, 3, Separated, Craft-repair, Not-in-family, Other, Male, 0, 0, 35, Mexico, <=50K -19, Private, 272063, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 169564, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 188856, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 8614, 0, 55, United-States, >50K -25, Private, 69847, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 198759, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 80, United-States, >50K -22, Private, 175431, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -32, Private, 228357, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, ?, <=50K -72, Self-emp-not-inc, 284120, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 109133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 167336, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K -76, ?, 42209, 9th, 5, Widowed, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -37, Private, 282951, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 303155, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 261899, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K -33, Private, 168030, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 21, United-States, >50K -53, State-gov, 71417, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 239130, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -69, Private, 200560, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K -20, Private, 157541, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 27, United-States, <=50K -33, Private, 255004, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 230136, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, >50K -50, Local-gov, 124963, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 35, United-States, >50K -22, Private, 39615, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -20, Private, 47678, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 281315, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 176123, HS-grad, 9, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -24, ?, 165350, HS-grad, 9, Separated, ?, Not-in-family, Black, Male, 0, 0, 50, Germany, <=50K -32, Private, 235862, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -41, Private, 142579, Bachelors, 13, Widowed, Sales, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K -35, Private, 38294, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 111483, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 189850, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, State-gov, 145874, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 20, China, <=50K -23, Private, 139012, Assoc-voc, 11, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -30, Local-gov, 211654, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Local-gov, 173090, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -26, Private, 104834, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K -42, ?, 195124, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, Dominican-Republic, <=50K -39, Private, 32146, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -52, Private, 282674, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -42, Private, 190403, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, Canada, <=50K -25, Private, 247025, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 48, United-States, <=50K -27, Private, 198258, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -30, Self-emp-not-inc, 172748, 7th-8th, 4, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, State-gov, 287988, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -47, Self-emp-not-inc, 122307, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -58, ?, 175017, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -18, Private, 170183, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 150812, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 241185, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -58, Self-emp-inc, 174864, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Private, 30529, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 301637, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 423222, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 60, United-States, >50K -43, Private, 214781, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K -21, Private, 242912, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -52, Private, 191529, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 60, United-States, <=50K -24, Private, 117363, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -22, Private, 333158, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -39, Private, 193260, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 25, Mexico, <=50K -34, State-gov, 278378, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 111394, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 102476, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -29, Private, 26451, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -67, ?, 209137, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 210945, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 35, Haiti, <=50K -62, Local-gov, 115023, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 53833, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 150057, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K -18, Private, 128086, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 18, United-States, <=50K -25, Private, 28473, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 155509, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -56, Private, 165315, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, ?, <=50K -30, Private, 171889, Prof-school, 15, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K -41, Local-gov, 185057, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 277034, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 60, United-States, >50K -36, Private, 166606, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 97453, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 54, United-States, <=50K -27, Private, 136094, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 61855, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -30, Private, 182771, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 15, China, <=50K -47, Private, 418961, Assoc-voc, 11, Divorced, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -39, Private, 106961, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 81846, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -44, Private, 105936, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 36425, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 595088, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 63, United-States, <=50K -38, Private, 149018, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 229613, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 33521, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 70539, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, <=50K -53, State-gov, 105728, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 28, United-States, >50K -31, Private, 193215, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 137363, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 104892, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 149427, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -19, State-gov, 176634, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 183279, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 225775, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 202091, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 60, United-States, <=50K -36, Private, 123151, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 168187, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -42, Federal-gov, 33521, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 243678, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 164898, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 262280, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 3781, 0, 40, United-States, <=50K -33, State-gov, 290614, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 199265, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 207668, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -18, State-gov, 30687, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K -24, State-gov, 27939, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 24, ?, <=50K -17, Private, 438996, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -48, Private, 152915, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, ?, 186030, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K -46, Local-gov, 297759, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 171242, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -28, Private, 206088, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 182792, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 167725, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 24, United-States, <=50K -43, Private, 160674, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 194710, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 255027, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 204641, 10th, 6, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -20, State-gov, 177787, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -29, Private, 54932, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, >50K -54, Self-emp-not-inc, 91506, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -34, Private, 198634, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 227146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 135647, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 55508, 7th-8th, 4, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 174912, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 175925, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 157486, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -49, Local-gov, 329144, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 44, United-States, >50K -67, ?, 81761, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K -49, Self-emp-not-inc, 102318, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -30, Federal-gov, 266463, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Federal-gov, 107314, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 114158, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 124052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 144301, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 42, United-States, <=50K -28, Private, 176683, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 70, United-States, >50K -23, Private, 234663, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 178948, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K -37, Self-emp-not-inc, 607848, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 202937, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -32, Federal-gov, 83413, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, >50K -26, Private, 212798, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -57, Federal-gov, 192258, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 112497, 9th, 5, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 50, United-States, >50K -30, Private, 97521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 160972, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 322931, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -22, Private, 403519, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 330174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 278155, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 39054, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -57, Private, 170287, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 336643, Assoc-voc, 11, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 264166, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, Columbia, <=50K -44, Local-gov, 433705, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K -28, Private, 27044, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -42, Private, 165599, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 159759, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 385092, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K -42, Private, 188808, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 167476, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, State-gov, 194096, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -59, Private, 182460, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K -21, ?, 102323, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -56, Private, 232139, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 341741, Preschool, 1, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -21, Private, 206008, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 50, United-States, <=50K -48, Private, 344415, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 37, United-States, >50K -35, State-gov, 372130, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 27766, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 60, United-States, >50K -23, Private, 140764, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -17, ?, 161259, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 12, United-States, <=50K -41, Private, 22201, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, >50K -35, Self-emp-inc, 187046, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -53, Private, 274276, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 341757, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 218542, HS-grad, 9, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Local-gov, 190020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 221436, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Cuba, >50K -39, Self-emp-not-inc, 52187, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 158776, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 51543, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -17, Private, 146329, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 23, United-States, <=50K -31, Private, 397467, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 105592, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K -39, Private, 78171, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -46, State-gov, 55377, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -31, Private, 258932, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 80, Italy, <=50K -27, Private, 38606, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 1504, 45, United-States, <=50K -18, Private, 219841, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -46, Private, 156926, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -55, Private, 160362, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 192161, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -53, Private, 208570, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 26, United-States, <=50K -44, Self-emp-not-inc, 182771, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 48, South, >50K -43, Private, 151089, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 163002, HS-grad, 9, Separated, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 155657, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 20, Yugoslavia, <=50K -27, Private, 217530, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -20, Private, 244406, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -18, Local-gov, 152182, 10th, 6, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 6, United-States, <=50K -34, Private, 55717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 50, United-States, >50K -38, Private, 201454, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Self-emp-inc, 144371, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K -55, Private, 277034, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 462832, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 40, United-States, >50K -26, Private, 200681, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, State-gov, 119565, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K -22, Private, 192017, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 84808, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 100154, 10th, 6, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 169383, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Without-pay, 43887, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 10, United-States, <=50K -45, Private, 54260, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 99, United-States, <=50K -53, Self-emp-not-inc, 159876, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 3103, 0, 72, United-States, <=50K -46, Private, 160474, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1590, 43, United-States, <=50K -25, Private, 476334, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -90, Private, 52386, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -33, Private, 83671, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 172960, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -47, Private, 191957, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -38, Local-gov, 40955, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -35, ?, 98080, Prof-school, 15, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 4787, 0, 45, Japan, >50K -37, Private, 175643, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -53, State-gov, 197184, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -56, Private, 187295, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 40822, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -44, Private, 228729, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, ?, <=50K -50, Private, 240496, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -26, Private, 51961, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -36, Private, 174887, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 95855, 11th, 7, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 362259, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 30916, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -62, Private, 153148, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 84, United-States, <=50K -46, Private, 167915, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 45156, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 2174, 0, 41, United-States, <=50K -37, Private, 98776, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 15, United-States, <=50K -27, Private, 209801, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, ?, <=50K -38, Private, 183800, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 54595, 12th, 8, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 79637, Bachelors, 13, Never-married, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -50, Private, 126566, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 233796, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 32, United-States, >50K -67, Local-gov, 191800, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 6360, 0, 35, United-States, <=50K -34, Self-emp-not-inc, 527162, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 139466, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 64520, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -50, Private, 97741, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -45, Local-gov, 160173, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -17, Private, 350995, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -59, ?, 182836, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K -25, Private, 143267, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -21, Private, 346341, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 172175, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 153035, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -63, Private, 200127, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Local-gov, 204470, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -45, Private, 353012, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 194342, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 57898, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 164707, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, ?, <=50K -42, Private, 269028, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, France, <=50K -56, Private, 83922, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 160647, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Female, 0, 0, 46, United-States, <=50K -69, Private, 125437, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -42, Private, 246011, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, <=50K -19, Private, 216937, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Other, Female, 0, 0, 60, Guatemala, <=50K -56, Self-emp-not-inc, 66356, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 154981, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 50, United-States, >50K -61, Federal-gov, 197311, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 301743, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -50, Self-emp-not-inc, 401118, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 50, United-States, >50K -39, Private, 98776, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -35, Self-emp-not-inc, 32528, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 177119, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -40, Self-emp-inc, 193524, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -59, State-gov, 192258, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, ?, 145917, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -42, Federal-gov, 214838, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 30, United-States, >50K -59, Private, 176011, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-inc, 147239, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -38, Private, 159179, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -53, Private, 155963, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 360457, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K -54, Federal-gov, 114674, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 95708, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K -33, Local-gov, 100734, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -35, Private, 188972, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -22, Private, 162667, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, Portugal, <=50K -45, Self-emp-not-inc, 28497, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1485, 70, United-States, >50K -29, Private, 180758, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 346635, Masters, 14, Divorced, Sales, Unmarried, White, Female, 0, 2339, 60, United-States, <=50K -23, Private, 46645, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 203258, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -17, Private, 134480, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 25, United-States, <=50K -35, Local-gov, 85548, Some-college, 10, Separated, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -25, Private, 195994, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Guatemala, <=50K -42, State-gov, 148316, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 227466, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 68552, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -32, Private, 252257, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -44, Private, 30126, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 304353, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, >50K -47, Self-emp-not-inc, 171968, Bachelors, 13, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, Thailand, <=50K -24, Private, 205839, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, State-gov, 218640, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K -42, Private, 150568, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -19, Private, 382738, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 138940, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 37, United-States, <=50K -26, Self-emp-not-inc, 258306, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K -25, Local-gov, 190107, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 1719, 16, United-States, <=50K -52, Private, 152373, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 141875, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 79586, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 99999, 0, 40, ?, >50K -32, Private, 157289, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 184498, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 109684, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1741, 35, United-States, <=50K -47, Private, 199832, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 23545, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 175710, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -27, Private, 52028, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -61, Self-emp-not-inc, 315977, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 202322, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 251825, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -54, Private, 202115, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K -56, Local-gov, 216824, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -69, Private, 145656, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -30, Private, 137076, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 152621, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K -42, Self-emp-not-inc, 27242, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Federal-gov, 358242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 184117, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 20, United-States, >50K -26, Private, 300290, 11th, 7, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Local-gov, 149991, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 42, United-States, >50K -31, Private, 189759, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 339482, 5th-6th, 3, Separated, Farming-fishing, Other-relative, White, Male, 0, 0, 60, Mexico, <=50K -51, Private, 100933, HS-grad, 9, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 354558, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -38, Local-gov, 162613, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2258, 60, United-States, <=50K -64, Private, 285052, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -26, State-gov, 175044, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 45508, 5th-6th, 3, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 22, United-States, <=50K -32, Private, 173351, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -29, Private, 173611, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, ?, 182543, 1st-4th, 2, Separated, ?, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -21, Private, 143062, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, ?, 137951, 10th, 6, Separated, ?, Other-relative, White, Female, 0, 0, 40, Puerto-Rico, <=50K -33, Local-gov, 293063, Bachelors, 13, Married-spouse-absent, Prof-specialty, Other-relative, Black, Male, 0, 0, 40, ?, <=50K -26, Private, 377754, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 152373, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2105, 0, 40, United-States, <=50K -31, Private, 193477, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -29, Local-gov, 277323, HS-grad, 9, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 69182, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 27, United-States, <=50K -51, Private, 219599, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 129371, 9th, 5, Separated, Other-service, Unmarried, Other, Female, 0, 0, 40, Trinadad&Tobago, <=50K -20, Private, 470875, HS-grad, 9, Married-civ-spouse, Sales, Own-child, Black, Male, 0, 0, 32, United-States, <=50K -40, Private, 201734, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -43, Private, 58447, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K -52, Local-gov, 91689, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 166546, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -24, Private, 293324, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 219262, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Self-emp-not-inc, 403391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 367749, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K -24, Private, 128487, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, State-gov, 111363, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K -49, Private, 240869, 7th-8th, 4, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 163278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 416415, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -46, ?, 280030, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Mexico, <=50K -46, Private, 251243, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Local-gov, 167159, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 70, United-States, >50K -29, Private, 161857, HS-grad, 9, Married-spouse-absent, Other-service, Not-in-family, Other, Female, 0, 0, 40, Columbia, <=50K -37, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, ?, 190205, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -28, ?, 161290, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 112403, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 238726, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 164530, 11th, 7, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -19, Private, 456572, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -31, Self-emp-not-inc, 177675, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 246739, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K -37, Private, 102953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 224238, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 2, United-States, <=50K -46, Private, 155489, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -51, Self-emp-not-inc, 156802, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3103, 0, 60, United-States, >50K -50, Private, 168212, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 45, United-States, >50K -38, Private, 331395, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3942, 0, 84, Portugal, <=50K -40, Local-gov, 261497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K -58, Private, 365511, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K -36, Private, 187999, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Local-gov, 190350, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -17, ?, 166759, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 168262, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -39, State-gov, 122011, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5178, 0, 38, United-States, >50K -46, Private, 165953, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 375980, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -40, Federal-gov, 406463, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, State-gov, 231472, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Self-emp-not-inc, 78913, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 69107, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -22, ?, 182387, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 12, Thailand, <=50K -31, Private, 169002, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 55, United-States, <=50K -45, Private, 229967, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K -34, Private, 422836, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -27, State-gov, 230922, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Scotland, <=50K -40, Private, 195892, Some-college, 10, Divorced, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -68, Private, 163346, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -51, Private, 82566, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 86505, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 178780, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -23, State-gov, 173945, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 27, United-States, <=50K -48, Private, 176810, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-inc, 23813, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 2885, 0, 30, United-States, <=50K -51, Self-emp-inc, 210736, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -32, Private, 343789, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5013, 0, 55, United-States, <=50K -34, Private, 113838, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Local-gov, 121055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, >50K -71, ?, 52171, 7th-8th, 4, Divorced, ?, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 566049, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 8, United-States, <=50K -37, Private, 67433, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -26, Private, 39014, 12th, 8, Married-civ-spouse, Priv-house-serv, Wife, Other, Female, 0, 0, 40, Dominican-Republic, <=50K -17, Private, 51939, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -34, Private, 100669, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -46, Private, 155659, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -33, Private, 112847, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -41, Local-gov, 32185, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 138370, 10th, 6, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -50, Self-emp-not-inc, 172281, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -46, Private, 180505, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -45, Private, 168262, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 85126, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 113838, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 197457, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 1471, 0, 38, United-States, <=50K -28, Private, 197905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 316589, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 336367, Assoc-acdm, 12, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -39, Self-emp-inc, 143123, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2415, 40, United-States, >50K -23, Private, 209955, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 210013, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 224541, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 275653, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Female, 2977, 0, 40, Puerto-Rico, <=50K -45, Private, 88061, 11th, 7, Married-spouse-absent, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -43, Federal-gov, 195897, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 40, United-States, >50K -49, Private, 43206, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, >50K -37, Private, 202950, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 154093, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 112115, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, United-States, >50K -51, Private, 355954, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -24, Private, 379418, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 286372, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 48087, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K -32, Private, 387270, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -21, Private, 270043, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -39, Self-emp-not-inc, 65738, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, United-States, >50K -33, Private, 159888, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 278039, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -21, Private, 265434, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K -68, Self-emp-inc, 52052, Assoc-voc, 11, Widowed, Sales, Not-in-family, White, Female, 25124, 0, 50, United-States, >50K -24, Private, 208882, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 229393, 11th, 7, Never-married, Farming-fishing, Unmarried, White, Male, 2463, 0, 40, United-States, <=50K -23, Private, 53513, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K -40, Private, 225193, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 63, United-States, <=50K -48, Private, 166809, Bachelors, 13, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -42, Self-emp-not-inc, 175674, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Federal-gov, 368947, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 194901, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Private, 203173, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 267431, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 55, United-States, <=50K -32, Private, 111836, Some-college, 10, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K -34, Private, 198613, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, ?, <=50K -41, Self-emp-inc, 149102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -57, Local-gov, 121111, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 130397, 10th, 6, Never-married, Farming-fishing, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -40, Private, 212847, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2179, 40, United-States, <=50K -17, Private, 184198, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 13, United-States, <=50K -17, Private, 121287, 9th, 5, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -82, Self-emp-inc, 120408, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -40, Private, 164678, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -26, Private, 388812, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -37, Private, 294919, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 101684, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 36209, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 22, United-States, >50K -39, Private, 123983, Bachelors, 13, Divorced, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -36, Self-emp-not-inc, 340001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 203828, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 183789, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 305619, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -63, Self-emp-not-inc, 174181, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -59, Private, 131869, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -49, Self-emp-not-inc, 43479, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 203126, 9th, 5, Never-married, ?, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K -17, Private, 118792, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 9, United-States, <=50K -28, Private, 272913, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, Mexico, <=50K -45, Federal-gov, 222011, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-inc, 301007, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 197731, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 173736, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 182590, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -59, Local-gov, 93211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 22, United-States, >50K -41, Private, 24763, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 7443, 0, 40, United-States, <=50K -49, Local-gov, 219021, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 48, United-States, >50K -37, Private, 137229, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -31, Self-emp-not-inc, 281030, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 234108, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 46868, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -20, ?, 162667, HS-grad, 9, Never-married, ?, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -51, Private, 173291, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 305160, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -48, Private, 212954, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -39, Local-gov, 112284, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 164198, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 15024, 0, 45, United-States, >50K -41, Private, 152958, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 145389, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -54, Self-emp-inc, 119570, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 272343, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -44, Private, 187720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 41, United-States, <=50K -50, Private, 145409, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 208726, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -34, Private, 203488, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 330416, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 25803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 171150, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 82576, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 36, United-States, >50K -30, Private, 329425, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 185452, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 201179, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 182268, Preschool, 1, Married-spouse-absent, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 95763, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -48, Private, 125892, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Poland, <=50K -21, Private, 121407, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K -52, Private, 373367, 11th, 7, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Local-gov, 165982, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Private, 165484, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Private, 156890, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 156763, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 40, United-States, <=50K -43, Private, 244172, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, ?, <=50K -36, Private, 219814, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Guatemala, <=50K -42, Private, 171841, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Local-gov, 168524, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 35, United-States, >50K -62, Private, 205643, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -65, ?, 174904, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 102559, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K -47, Private, 60267, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -43, Private, 388725, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 215712, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 171722, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 39, United-States, <=50K -25, Private, 193051, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K -21, Private, 305446, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 146949, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, <=50K -21, Private, 322144, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 75742, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, El-Salvador, >50K -64, ?, 380687, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 8, United-States, <=50K -55, Self-emp-not-inc, 95149, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, <=50K -42, Private, 68469, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 27653, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 410439, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 24, United-States, <=50K -28, Private, 37821, Assoc-voc, 11, Never-married, Sales, Unmarried, White, Female, 0, 0, 55, ?, <=50K -45, Private, 228570, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 141453, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 88215, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, China, >50K -53, Private, 48641, 12th, 8, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K -45, Private, 185385, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 341471, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -41, Private, 163322, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -35, Private, 99357, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 30, United-States, >50K -43, Self-emp-inc, 602513, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Local-gov, 287192, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, Mexico, <=50K -34, Private, 215047, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -46, Federal-gov, 97863, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 40, United-States, >50K -59, Private, 308118, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -53, Private, 137192, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 50, United-States, <=50K -33, Private, 275369, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, Haiti, <=50K -45, Private, 99971, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Self-emp-inc, 103713, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 253770, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 162205, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 72, United-States, >50K -46, Self-emp-not-inc, 31267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 198146, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -23, Private, 178207, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K -21, Private, 317175, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -53, Federal-gov, 221791, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-inc, 187124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K -58, State-gov, 280519, HS-grad, 9, Divorced, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 207568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Local-gov, 192684, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -39, Private, 103260, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 0, 30, United-States, >50K -39, Private, 191227, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K -48, Self-emp-inc, 382242, Doctorate, 16, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -41, Private, 106900, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K -30, Private, 48520, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2002, 40, United-States, <=50K -50, Private, 55527, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 45, United-States, <=50K -51, Self-emp-not-inc, 246820, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 48, United-States, >50K -23, Private, 33884, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 29762, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, Federal-gov, 168109, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, <=50K -51, Private, 207449, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -60, Self-emp-inc, 189098, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 194259, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Local-gov, 194630, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Local-gov, 179681, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 37, United-States, <=50K -42, State-gov, 136996, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 48, United-States, <=50K -32, Private, 143604, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K -19, Private, 243373, 12th, 8, Never-married, Sales, Other-relative, White, Male, 1055, 0, 40, United-States, <=50K -34, Private, 261799, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 45, United-States, >50K -48, Private, 143281, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -38, Private, 185556, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Italy, <=50K -38, Private, 111499, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -40, Self-emp-not-inc, 280433, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 37314, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -38, Private, 103408, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K -26, Private, 270151, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, State-gov, 96748, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -20, Private, 164775, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K -49, Private, 190319, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Philippines, <=50K -23, Private, 213115, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 156926, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Canada, >50K -43, Private, 112967, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 35373, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -60, Self-emp-not-inc, 220342, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 163167, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 404951, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -39, Private, 122032, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 143582, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, Other, Female, 4101, 0, 35, United-States, <=50K -38, Private, 108140, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 2202, 0, 45, United-States, <=50K -47, Private, 251508, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -50, Self-emp-not-inc, 197054, Prof-school, 15, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -64, Self-emp-not-inc, 36960, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 165930, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, ?, 178960, 11th, 7, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 214503, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -51, Private, 110458, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 202125, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Self-emp-not-inc, 284329, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -29, Private, 192924, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 340917, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2829, 0, 50, ?, <=50K -37, Private, 340614, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 196678, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 266489, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 61474, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K -47, ?, 99127, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 215955, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K -23, Self-emp-inc, 215395, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -36, Self-emp-inc, 183898, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -48, Private, 97176, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 145160, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K -51, Private, 357949, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -59, Private, 177120, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 288229, Some-college, 10, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Greece, <=50K -39, Private, 509060, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 47932, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 103925, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -44, State-gov, 183829, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -51, Private, 138852, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 188186, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, Hungary, <=50K -22, Private, 34616, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -19, Private, 220819, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Federal-gov, 281540, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 47396, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 141350, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 331433, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -40, Federal-gov, 346532, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -21, Private, 241367, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 10, United-States, <=50K -39, Private, 216256, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Italy, >50K -40, Local-gov, 153031, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 35, United-States, >50K -36, Private, 116138, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, <=50K -18, Private, 193166, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 42, United-States, <=50K -32, Self-emp-inc, 275094, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, Mexico, >50K -50, Private, 81548, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 167979, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -19, Private, 67759, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 43, United-States, <=50K -53, Private, 200190, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -49, Private, 403112, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -40, Private, 214891, Bachelors, 13, Married-spouse-absent, Transport-moving, Own-child, Other, Male, 0, 0, 45, ?, <=50K -31, Private, 142675, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 88500, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -35, Local-gov, 145308, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Local-gov, 204377, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -43, Self-emp-not-inc, 260696, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -51, Private, 231181, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K -54, Private, 260052, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -76, Local-gov, 178665, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -33, Private, 226267, 7th-8th, 4, Never-married, Sales, Not-in-family, White, Male, 0, 0, 43, Mexico, <=50K -19, Private, 111232, 12th, 8, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K -49, Private, 87928, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -26, Private, 212748, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 110677, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -49, Private, 139268, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -24, Private, 306779, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -48, Private, 318331, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 143385, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 288273, 12th, 8, Separated, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K -31, Private, 167725, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 48, Philippines, >50K -53, Private, 94081, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K -22, Private, 194723, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -43, Private, 163985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 189759, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, <=50K -53, State-gov, 195922, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Federal-gov, 54159, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Local-gov, 166863, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 104501, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, >50K -39, Private, 210626, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 448026, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Local-gov, 170916, 10th, 6, Never-married, Protective-serv, Own-child, White, Female, 0, 1602, 40, United-States, <=50K -53, Local-gov, 283602, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K -21, Private, 189749, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 90934, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 64, Philippines, >50K -34, State-gov, 253121, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 181776, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 162397, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 70708, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, State-gov, 103406, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 224658, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Local-gov, 213451, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 10, Jamaica, <=50K -53, Private, 139671, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 36201, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 237713, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 99, United-States, >50K -17, Local-gov, 173497, 11th, 7, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 15, United-States, <=50K -46, Private, 375606, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -34, Private, 203488, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -45, Self-emp-not-inc, 107231, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, France, <=50K -23, Private, 216811, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -41, Private, 288679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 105516, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 282972, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -18, Self-emp-inc, 117372, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -38, Private, 112497, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -66, ?, 186032, Assoc-voc, 11, Widowed, ?, Not-in-family, White, Female, 2964, 0, 30, United-States, <=50K -28, Private, 192384, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 43348, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -29, Private, 181822, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 216070, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 0, 0, 50, United-States, >50K -34, State-gov, 112062, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 218551, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 404616, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 169460, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 240081, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -22, Private, 147655, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 90277, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, ?, <=50K -49, Private, 60751, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 194636, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 50, United-States, <=50K -37, Self-emp-not-inc, 154641, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 2105, 0, 50, United-States, <=50K -39, Private, 491000, Bachelors, 13, Never-married, Exec-managerial, Other-relative, Black, Male, 0, 0, 45, United-States, <=50K -33, Private, 399088, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 186909, Masters, 14, Married-civ-spouse, Sales, Wife, White, Female, 0, 1902, 35, United-States, >50K -65, Private, 105491, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -40, Private, 34987, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 53, United-States, <=50K -26, ?, 167835, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -31, Private, 288983, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 266070, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -71, Private, 110380, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2467, 52, United-States, <=50K -25, Local-gov, 31873, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 294400, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, ?, 184308, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 30, United-States, <=50K -36, Self-emp-not-inc, 175769, Prof-school, 15, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -56, Private, 182273, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 106541, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 138192, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 196791, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -22, Private, 223019, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 109273, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -60, Self-emp-not-inc, 95490, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -65, Private, 149131, 11th, 7, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 219155, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, England, >50K -53, Local-gov, 82783, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 214858, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 170230, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -40, Self-emp-inc, 209344, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 15, ?, <=50K -35, Private, 90406, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 299813, 9th, 5, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 70, Dominican-Republic, <=50K -28, Private, 188064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Canada, <=50K -53, Private, 246117, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -26, Private, 132749, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 45, United-States, <=50K -28, Local-gov, 201099, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 97490, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 221252, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 8, United-States, <=50K -26, Private, 116991, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 161691, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -34, Private, 107793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, >50K -50, Self-emp-inc, 194514, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, Trinadad&Tobago, <=50K -30, Private, 278502, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 62, United-States, <=50K -47, Private, 343742, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -27, ?, 204074, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Federal-gov, 31965, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 143604, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 29, ?, <=50K -35, Private, 174308, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 162551, 12th, 8, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female, 0, 0, 50, ?, <=50K -39, Self-emp-inc, 372525, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -30, Private, 75167, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Private, 176296, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 1887, 40, United-States, >50K -19, Private, 93518, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -25, ?, 126797, HS-grad, 9, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 25124, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K -21, Private, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K -30, ?, 58798, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -25, Self-emp-not-inc, 21472, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K -32, Private, 90969, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -26, Private, 149734, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Female, 0, 1594, 40, United-States, <=50K -42, Private, 52849, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 106347, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 47, United-States, <=50K -48, Private, 199735, Bachelors, 13, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 44, Germany, <=50K -24, Private, 488541, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -46, Private, 403911, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -53, Private, 172991, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K -36, Federal-gov, 210945, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, <=50K -34, Private, 157446, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 109390, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 70, United-States, <=50K -33, Private, 134886, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 99999, 0, 30, United-States, >50K -45, Private, 144579, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Federal-gov, 203488, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 202871, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K -33, Private, 175412, 9th, 5, Divorced, Craft-repair, Unmarried, White, Male, 114, 0, 55, United-States, <=50K -44, Private, 336906, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 177596, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Puerto-Rico, >50K -30, Private, 79448, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -32, Local-gov, 191731, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, ?, 233014, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 133937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 219211, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, State-gov, 94529, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 247547, HS-grad, 9, Separated, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 29361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -21, Private, 166851, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -43, Federal-gov, 197069, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Philippines, >50K -33, Private, 153588, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Federal-gov, 151369, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 174112, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 520033, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, State-gov, 194828, Some-college, 10, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -32, ?, 216908, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -22, Private, 126613, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -61, Private, 26254, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 54042, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 2463, 0, 35, United-States, <=50K -24, Private, 67804, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 53481, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -42, Private, 412379, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 220187, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -26, ?, 256141, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 268222, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -59, Private, 99131, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -65, Self-emp-not-inc, 115498, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3818, 0, 10, United-States, <=50K -57, Private, 317847, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 2824, 50, United-States, >50K -36, Private, 98389, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 44, United-States, >50K -42, Private, 173704, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 50, United-States, >50K -18, ?, 211177, 12th, 8, Never-married, ?, Other-relative, Black, Male, 0, 0, 20, United-States, <=50K -18, Private, 115443, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 65078, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 24896, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 184710, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 410450, Bachelors, 13, Divorced, Other-service, Unmarried, White, Female, 0, 0, 48, England, >50K -37, Private, 83893, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 113309, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 160625, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -17, Local-gov, 340043, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -37, Local-gov, 48976, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 45, United-States, <=50K -29, State-gov, 243875, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 554206, HS-grad, 9, Separated, Transport-moving, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -36, Private, 361888, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K -37, Self-emp-not-inc, 205359, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 15, United-States, <=50K -47, State-gov, 167281, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 35663, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 357437, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 390856, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, Mexico, <=50K -33, Federal-gov, 331615, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K -54, Private, 202415, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 180032, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K -40, Private, 77247, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Local-gov, 101795, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -35, Private, 272019, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2057, 40, United-States, <=50K -32, Private, 198068, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 199326, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 178841, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 136951, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -26, Self-emp-inc, 109240, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -35, Self-emp-not-inc, 128876, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 103358, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, India, <=50K -43, Private, 354408, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 206051, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -45, Private, 155659, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -48, Private, 143299, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -31, Private, 252210, 5th-6th, 3, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -20, ?, 129240, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -28, Private, 398918, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 240612, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -22, Private, 429346, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 123718, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -38, Private, 455379, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 63, United-States, >50K -23, Private, 376416, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Self-emp-inc, 234663, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 282142, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, State-gov, 208049, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -88, Private, 68539, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 126501, 11th, 7, Never-married, Adm-clerical, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 15, South, <=50K -24, Private, 186452, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -84, ?, 127184, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -48, Private, 165267, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 124733, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -31, Self-emp-inc, 149726, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 41374, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 329759, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 212433, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 185099, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -47, Local-gov, 126754, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 122497, 9th, 5, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 52, ?, <=50K -30, Private, 118056, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -30, Local-gov, 200892, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 200790, 12th, 8, Married-civ-spouse, ?, Other-relative, White, Female, 15024, 0, 40, United-States, >50K -30, Self-emp-inc, 84119, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 43, United-States, <=50K -23, Local-gov, 197918, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 150533, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 443742, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 104423, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 169133, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 185551, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 36, United-States, <=50K -60, Private, 174486, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -69, State-gov, 50468, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 34, United-States, >50K -24, Private, 196943, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 120691, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -60, State-gov, 198815, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, Mexico, <=50K -64, Private, 22186, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -39, Self-emp-inc, 188069, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Private, 233149, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Private, 138358, 10th, 6, Divorced, Craft-repair, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -25, Private, 338013, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, ?, 332666, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 4, United-States, <=50K -37, Private, 166339, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -74, Self-emp-not-inc, 392886, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Female, 0, 0, 14, United-States, <=50K -26, State-gov, 141838, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -23, Private, 520759, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -57, Self-emp-inc, 37345, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K -20, Private, 387779, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K -37, Private, 201531, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 123598, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 380614, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -40, Private, 83859, HS-grad, 9, Widowed, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -50, State-gov, 24790, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 266820, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 35, Mexico, <=50K -44, Private, 85440, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 421837, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 404062, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 15, United-States, >50K -38, Private, 224566, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -54, Private, 294991, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 189610, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 52, United-States, <=50K -37, Private, 219141, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7688, 0, 40, United-States, >50K -46, Federal-gov, 20956, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -38, Private, 70995, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -20, Private, 215232, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 10, United-States, <=50K -71, ?, 178295, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 3, United-States, <=50K -35, Private, 56201, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -62, Private, 98076, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 351810, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Cuba, <=50K -56, Self-emp-not-inc, 144351, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 90, United-States, <=50K -30, State-gov, 137613, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 20, Taiwan, <=50K -17, Private, 54257, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -18, Self-emp-not-inc, 230373, 11th, 7, Never-married, Other-service, Own-child, White, Female, 594, 0, 4, United-States, <=50K -35, Private, 98389, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 184135, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 1, United-States, <=50K -46, Self-emp-not-inc, 140121, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -33, Self-emp-not-inc, 24504, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 129528, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 415578, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 97142, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 201328, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 256620, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Federal-gov, 96854, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, State-gov, 141858, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 75, United-States, >50K -51, Federal-gov, 20795, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 40, United-States, >50K -53, Private, 95519, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -47, Private, 112791, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 291407, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 239659, Some-college, 10, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 70, United-States, <=50K -28, Private, 183151, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, ?, 97634, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 143807, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 186934, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -30, Private, 170065, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 108328, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 6849, 0, 50, United-States, <=50K -56, State-gov, 83696, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, ?, <=50K -21, Private, 204596, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -56, ?, 32604, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -56, Private, 193453, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 65, United-States, >50K -45, Private, 148995, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 40, United-States, >50K -20, Private, 85041, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K -62, Local-gov, 140851, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 196280, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -52, Federal-gov, 38973, Bachelors, 13, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 39182, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 198841, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 694812, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 247444, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K -41, Private, 294270, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -59, Private, 195820, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 329426, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -19, ?, 174871, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 23, United-States, <=50K -41, Private, 116103, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 206903, Bachelors, 13, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -50, Private, 217577, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 337693, 5th-6th, 3, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K -38, Private, 204501, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -30, Private, 169186, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K -48, Private, 109421, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Local-gov, 267893, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7298, 0, 40, United-States, >50K -40, Private, 200479, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 221317, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -59, Self-emp-not-inc, 132925, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -31, ?, 283531, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -34, Private, 170769, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Self-emp-inc, 186410, Prof-school, 15, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -64, Self-emp-inc, 307786, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K -29, Private, 380560, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -38, Local-gov, 147258, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 212894, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 40, United-States, >50K -49, Private, 124356, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -53, Private, 98791, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 216473, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -70, ?, 135339, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -38, Private, 107303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 152744, Bachelors, 13, Divorced, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -34, Self-emp-not-inc, 100079, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 55, India, <=50K -24, Private, 117779, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, Hungary, <=50K -23, Private, 197613, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 411068, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -47, Private, 192984, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 66356, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 4865, 0, 40, United-States, <=50K -33, Federal-gov, 137184, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K -63, Self-emp-not-inc, 231105, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 35, United-States, >50K -18, Local-gov, 146586, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 32406, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, Private, 578701, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, ?, <=50K -19, Private, 206777, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 133495, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 34722, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -38, Self-emp-not-inc, 133299, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 24967, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 47, United-States, <=50K -35, Self-emp-not-inc, 171968, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -22, Private, 412156, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 51290, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 198265, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K -23, Private, 293565, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 226288, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Self-emp-inc, 110445, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 160634, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 174242, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 390316, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -18, Private, 298860, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -65, Private, 171584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 232664, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -64, Private, 63676, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -68, Private, 170376, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Self-emp-not-inc, 175964, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -68, Federal-gov, 422013, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 3683, 40, United-States, <=50K -35, Private, 105813, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -50, Federal-gov, 306707, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K -45, Private, 177543, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 28, United-States, <=50K -43, Private, 320277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 129495, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 257042, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K -45, Private, 275995, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -20, ?, 86318, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -36, Private, 280440, Assoc-acdm, 12, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -26, Private, 371556, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 408229, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -47, Private, 149337, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 209297, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 2001, 40, United-States, <=50K -53, Private, 355802, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -32, Private, 165949, Bachelors, 13, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 1590, 42, United-States, <=50K -44, Self-emp-not-inc, 112507, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 462869, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -35, Private, 413648, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 36, United-States, <=50K -34, Private, 29235, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 149823, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 39530, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -23, Private, 197387, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, Mexico, <=50K -56, Local-gov, 255406, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 43764, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -38, Private, 168322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -46, Private, 278322, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 115813, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 57, United-States, <=50K -38, Self-emp-not-inc, 184456, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 3464, 0, 80, Italy, <=50K -42, Private, 289636, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 46, United-States, <=50K -48, Private, 101684, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 133425, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -40, Private, 349405, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, <=50K -53, Private, 124076, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 99999, 0, 37, United-States, >50K -75, Self-emp-not-inc, 165968, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -39, Private, 185099, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -46, Federal-gov, 268281, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 154949, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 176711, HS-grad, 9, Divorced, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 165064, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 213750, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -45, Self-emp-not-inc, 77132, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -21, Private, 109667, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 162164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -40, Private, 219591, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, ?, 327462, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -68, Private, 236943, 9th, 5, Divorced, Farming-fishing, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -40, Private, 89226, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 124751, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 24, United-States, <=50K -48, Local-gov, 144122, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -27, Private, 98769, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -57, Federal-gov, 170066, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-inc, 162439, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 98, United-States, >50K -47, Private, 22900, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Local-gov, 102130, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, ?, 215743, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 381583, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 45, United-States, >50K -56, Local-gov, 198277, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 243178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K -38, Local-gov, 177305, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, <=50K -19, Private, 167149, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -24, Private, 270872, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 594, 0, 40, ?, <=50K -31, Private, 382368, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Germany, <=50K -44, Local-gov, 277144, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K -21, State-gov, 145651, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 1602, 12, United-States, <=50K -41, Private, 171351, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 265099, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -23, Private, 105617, 9th, 5, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 217689, Some-college, 10, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 0, 0, 32, United-States, <=50K -46, ?, 81136, Assoc-voc, 11, Divorced, ?, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -43, Self-emp-not-inc, 73883, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 339482, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -40, Private, 326232, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K -27, Private, 106316, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -64, Local-gov, 198728, Some-college, 10, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, Federal-gov, 126501, Assoc-voc, 11, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 233802, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, <=50K -37, Self-emp-not-inc, 204501, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, Canada, >50K -28, Private, 208249, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -42, Private, 188693, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-inc, 93272, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -17, Private, 159299, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -21, ?, 303588, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 35136, 10th, 6, Divorced, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 139576, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 252355, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 27, United-States, <=50K -44, Self-emp-not-inc, 83812, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 89718, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, Private, 222810, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 456618, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -21, Private, 296158, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K -41, Private, 162140, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2339, 40, United-States, <=50K -28, Private, 36601, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 195337, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, State-gov, 282721, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 12, United-States, <=50K -40, Private, 206049, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 223392, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -40, Private, 27821, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 2829, 0, 40, United-States, <=50K -37, Private, 131827, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 549413, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -34, Private, 69491, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 193755, Assoc-acdm, 12, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 598802, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -72, Local-gov, 259762, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2290, 0, 10, United-States, <=50K -19, Private, 266255, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 32954, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -40, Private, 291808, HS-grad, 9, Divorced, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 190728, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 59184, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 196456, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 147989, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 195784, 12th, 8, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 202214, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -40, Self-emp-inc, 225165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 54825, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 188905, 5th-6th, 3, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -17, Private, 132636, 11th, 7, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 16, United-States, <=50K -42, Local-gov, 228320, 7th-8th, 4, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 415500, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, Private, 254247, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, ?, <=50K -43, Private, 255635, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -46, Private, 96080, 9th, 5, Separated, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, ?, 78181, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -50, Local-gov, 339547, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, >50K -47, Self-emp-not-inc, 126500, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -31, Private, 511289, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 2907, 0, 99, United-States, <=50K -33, Private, 159574, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 224105, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K -59, Self-emp-not-inc, 128105, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -39, Local-gov, 89508, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 370242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 67257, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -24, Private, 62952, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 111058, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K -30, Private, 29235, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -52, State-gov, 101119, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Federal-gov, 140516, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 159888, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -19, ?, 45643, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 166371, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 60, United-States, <=50K -37, State-gov, 160910, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, State-gov, 257064, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 38, United-States, <=50K -49, Self-emp-not-inc, 181307, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K -30, Private, 83253, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -40, Private, 128700, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 243010, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, Other, Male, 0, 0, 32, United-States, <=50K -35, Self-emp-not-inc, 37778, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3103, 0, 55, United-States, <=50K -24, Private, 132320, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 234755, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 142616, HS-grad, 9, Separated, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K -20, Private, 148509, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, State-gov, 240738, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 32276, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 28, United-States, <=50K -50, Local-gov, 163921, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 464103, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -49, ?, 271346, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 15024, 0, 60, United-States, >50K -30, Local-gov, 327825, HS-grad, 9, Divorced, Protective-serv, Own-child, White, Female, 0, 0, 32, United-States, <=50K -37, Private, 267085, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 266945, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 3137, 0, 40, El-Salvador, <=50K -20, Private, 234663, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -49, Self-emp-not-inc, 189123, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 50, United-States, <=50K -55, Private, 104996, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 101265, 12th, 8, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Italy, <=50K -22, Private, 184975, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, White, Female, 0, 0, 3, United-States, <=50K -23, Private, 246965, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -43, Private, 227065, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -39, Private, 301867, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 24, Philippines, <=50K -21, Private, 185948, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -52, Self-emp-inc, 134854, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 281030, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 40, United-States, <=50K -42, Private, 126701, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 9562, 0, 45, United-States, >50K -50, Self-emp-not-inc, 95949, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Self-emp-not-inc, 88528, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 99, United-States, <=50K -47, Private, 24723, 10th, 6, Divorced, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 45, United-States, <=50K -49, ?, 171411, 9th, 5, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 184581, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Federal-gov, 100067, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 182863, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Never-worked, 462294, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -61, Private, 85434, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -72, Private, 158092, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 104844, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -54, Self-emp-inc, 304570, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K -47, ?, 89806, Some-college, 10, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 35, United-States, <=50K -39, Private, 106183, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 6849, 0, 40, United-States, <=50K -24, Private, 89347, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 157236, Some-college, 10, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Poland, <=50K -19, Private, 261259, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -20, Private, 286166, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 122272, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 248739, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 53, United-States, >50K -20, Private, 224238, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 138157, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 12, United-States, <=50K -25, Private, 148460, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 4416, 0, 40, Puerto-Rico, <=50K -67, Private, 236627, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 2, United-States, <=50K -37, Local-gov, 191364, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, France, >50K -36, Private, 353524, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Female, 1831, 0, 40, United-States, <=50K -38, Private, 391040, Assoc-voc, 11, Separated, Tech-support, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 134997, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K -28, Private, 392487, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 216724, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 174395, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, United-States, >50K -63, Private, 383058, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K -60, Self-emp-not-inc, 96073, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -31, Self-emp-inc, 103435, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Self-emp-not-inc, 96718, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K -37, Private, 178948, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 45, United-States, >50K -51, Private, 173987, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 34419, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -27, Private, 224849, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 249857, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -34, Private, 340458, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 427422, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 25, United-States, >50K -19, ?, 440417, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K -36, Private, 175643, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 297485, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 232954, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 326330, Some-college, 10, Divorced, Exec-managerial, Own-child, White, Female, 1831, 0, 40, United-States, <=50K -25, Private, 109419, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 127768, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 32, United-States, >50K -41, Private, 252986, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -20, Private, 380544, Assoc-acdm, 12, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 20, United-States, <=50K -52, Private, 306108, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 232855, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -44, Private, 130126, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -50, Private, 194231, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -49, Self-emp-inc, 197038, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -36, ?, 168223, Bachelors, 13, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -71, State-gov, 26109, Prof-school, 15, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 28, United-States, <=50K -20, Private, 285671, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 25, United-States, <=50K -20, Private, 153583, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, ?, <=50K -59, Self-emp-inc, 103948, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -41, Private, 439919, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3411, 0, 40, Mexico, <=50K -38, Private, 40319, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -55, Local-gov, 159028, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 98675, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 90758, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -43, Self-emp-not-inc, 75435, HS-grad, 9, Divorced, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -19, Private, 219189, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -33, Private, 203463, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -63, Private, 187635, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 154641, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K -34, Private, 27153, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 150324, Assoc-acdm, 12, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 83704, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 176262, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 36, United-States, <=50K -20, Private, 179423, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 8, United-States, <=50K -45, Private, 168038, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -59, Private, 108765, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 146477, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, Greece, >50K -66, Local-gov, 188220, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, >50K -37, Private, 292855, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 35, United-States, >50K -29, Private, 114870, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 77723, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -39, Private, 284166, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -57, Private, 133902, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -57, Private, 191318, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Self-emp-inc, 67794, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -44, Self-emp-inc, 357679, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 15024, 0, 65, United-States, >50K -56, Private, 117872, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -26, Private, 55929, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -22, ?, 165065, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Italy, <=50K -26, Self-emp-not-inc, 34307, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K -33, Private, 246038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-not-inc, 147258, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -45, Private, 329144, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Local-gov, 52953, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1669, 38, United-States, <=50K -23, Private, 216181, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 36, Iran, <=50K -23, Private, 391171, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K -35, Local-gov, 223242, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 103925, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 32, United-States, >50K -45, Private, 38240, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 148444, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -56, State-gov, 110257, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Federal-gov, 101345, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 268098, 12th, 8, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 36, United-States, <=50K -21, ?, 369084, Some-college, 10, Never-married, ?, Other-relative, White, Male, 0, 0, 10, United-States, <=50K -31, Private, 288825, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 40, United-States, <=50K -20, Private, 162688, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 38, United-States, <=50K -17, ?, 48751, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -44, Federal-gov, 184099, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 307496, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 23, United-States, <=50K -71, ?, 176986, HS-grad, 9, Widowed, ?, Unmarried, White, Male, 0, 0, 24, United-States, <=50K -23, Private, 267955, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 283969, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -29, State-gov, 204516, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K -33, Private, 167771, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 345073, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 48, United-States, >50K -21, ?, 380219, Some-college, 10, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 306156, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -70, Self-emp-not-inc, 37203, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 9386, 0, 30, United-States, >50K -19, Private, 185097, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -29, Private, 144808, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 187203, Assoc-acdm, 12, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 125089, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 289458, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 144798, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, ?, 172152, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 25, Taiwan, <=50K -28, Private, 207513, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 48, United-States, <=50K -24, ?, 164574, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -76, Private, 199949, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 20051, 0, 50, United-States, >50K -19, Private, 213024, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 213140, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 83374, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 30, United-States, >50K -37, Private, 192939, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 424494, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 215243, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -40, Private, 30682, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -20, Private, 306639, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -23, Local-gov, 218678, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 219130, Some-college, 10, Never-married, Other-service, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K -64, Private, 180624, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -53, Local-gov, 200190, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, United-States, >50K -28, Private, 194472, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Local-gov, 205767, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -28, Private, 249870, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -31, Private, 211242, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -77, Private, 149912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -22, Private, 85389, HS-grad, 9, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, ?, 806316, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -38, Private, 329980, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -45, ?, 236612, 11th, 7, Divorced, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 249214, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -50, Private, 257126, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Local-gov, 204397, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 291979, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 138667, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -57, Federal-gov, 42298, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 15024, 0, 40, United-States, >50K -39, Private, 375452, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 48, United-States, >50K -30, Private, 94413, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -31, Federal-gov, 166626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -39, State-gov, 326566, Some-college, 10, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 165503, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 65, United-States, <=50K -48, Private, 102597, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -62, ?, 113234, Masters, 14, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 177277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -34, Private, 198103, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 1980, 40, United-States, <=50K -45, Private, 260490, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Private, 237478, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Federal-gov, 36885, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -17, Private, 166242, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -19, ?, 158603, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -25, Private, 274228, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 84, United-States, <=50K -42, Private, 185145, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 57, United-States, <=50K -66, Private, 28367, Bachelors, 13, Married-civ-spouse, Priv-house-serv, Other-relative, White, Male, 0, 0, 99, United-States, <=50K -63, Self-emp-not-inc, 28612, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -43, Private, 191429, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K -26, Private, 459548, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, Mexico, <=50K -23, Private, 65481, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K -39, Private, 186130, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -47, Self-emp-inc, 350759, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 359678, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 48, United-States, <=50K -35, Private, 220595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 29599, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 299153, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -46, Private, 75256, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 143583, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 207505, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 70, United-States, >50K -41, Private, 308550, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -50, Private, 145717, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -36, Private, 334366, 11th, 7, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -31, ?, 76198, HS-grad, 9, Separated, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -45, Self-emp-not-inc, 155489, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -50, Private, 197322, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 194259, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K -40, Private, 346189, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 98361, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -64, ?, 178556, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 56, United-States, >50K -51, Self-emp-inc, 162943, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 19302, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -56, State-gov, 67662, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, <=50K -35, Private, 126675, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -55, Self-emp-not-inc, 278228, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -30, Private, 169152, HS-grad, 9, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 204052, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 215392, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -43, Self-emp-inc, 83348, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Local-gov, 196816, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 541343, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Local-gov, 55921, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -32, Private, 251701, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -29, Federal-gov, 119848, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 160572, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 47, United-States, <=50K -18, Private, 25837, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 15, United-States, <=50K -20, Private, 236592, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -45, State-gov, 199326, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -22, Private, 341610, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, ?, <=50K -45, Private, 175958, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 198965, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 193537, 7th-8th, 4, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 0, 35, Puerto-Rico, <=50K -24, Private, 438839, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 298227, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 271466, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -23, Private, 335570, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 206891, 7th-8th, 4, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 38, United-States, <=50K -23, Private, 162551, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -45, Private, 145637, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -41, Private, 101290, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Federal-gov, 229376, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 439592, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 161141, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -70, Private, 304570, Bachelors, 13, Widowed, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 32, Philippines, <=50K -24, Private, 103277, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K -28, Local-gov, 407672, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 73928, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -83, Self-emp-inc, 240150, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 20051, 0, 50, United-States, >50K -69, Private, 230417, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, China, >50K -37, Private, 260093, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 96020, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 104421, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -71, Private, 152307, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 45, United-States, >50K -56, State-gov, 93415, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -27, Local-gov, 282664, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 45, ?, <=50K -42, Self-emp-not-inc, 269733, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 80, United-States, >50K -21, Private, 202871, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 44, United-States, <=50K -29, Private, 169683, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 271603, 7th-8th, 4, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, ?, <=50K -32, Private, 340917, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -31, Private, 329874, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 43770, Some-college, 10, Separated, Other-service, Not-in-family, White, Female, 4650, 0, 72, United-States, <=50K -55, State-gov, 120781, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -48, Private, 138069, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -58, Self-emp-not-inc, 33309, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -23, Private, 76432, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, State-gov, 277635, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -49, Local-gov, 123088, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 46, United-States, <=50K -51, Private, 57698, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 181820, HS-grad, 9, Separated, Craft-repair, Own-child, White, Male, 0, 0, 53, United-States, <=50K -40, Self-emp-not-inc, 98985, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -59, Private, 98350, HS-grad, 9, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -47, Private, 125120, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 243409, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 58972, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 1506, 0, 40, United-States, <=50K -43, Private, 62857, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 283174, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -48, Private, 107373, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 201155, 9th, 5, Never-married, Sales, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -48, Private, 187505, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 61778, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 223648, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 4101, 0, 48, United-States, <=50K -28, Private, 149652, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K -56, Private, 170324, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, <=50K -45, Private, 165937, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -60, State-gov, 114060, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, State-gov, 58913, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -37, State-gov, 378916, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 241885, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 224421, Assoc-voc, 11, Married-AF-spouse, Farming-fishing, Husband, White, Male, 0, 0, 44, United-States, >50K -31, ?, 213771, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -39, Private, 315565, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, Cuba, <=50K -31, Local-gov, 153005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 98211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -17, Private, 198606, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 16, United-States, <=50K -19, Private, 260333, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 219510, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 32, United-States, <=50K -62, Private, 266624, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 6418, 0, 40, United-States, >50K -34, Private, 136862, 1st-4th, 2, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, Guatemala, <=50K -47, Self-emp-inc, 215620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -58, Private, 187067, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 62, Canada, <=50K -23, Private, 325921, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -33, Private, 268127, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -76, Private, 142535, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K -40, Private, 177083, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 77009, 7th-8th, 4, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -41, Private, 306405, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K -46, Local-gov, 303918, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 96, United-States, >50K -22, Federal-gov, 262819, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 49087, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 53833, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 1033222, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -22, Private, 81145, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -41, Private, 215479, Some-college, 10, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 43, United-States, <=50K -29, Private, 113464, HS-grad, 9, Never-married, Transport-moving, Other-relative, Other, Male, 0, 0, 40, Dominican-Republic, <=50K -60, Private, 109530, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 40, United-States, >50K -72, Federal-gov, 217864, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-inc, 117721, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K -19, Private, 199484, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -25, Private, 248851, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 116968, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -59, Private, 366618, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -17, Private, 240143, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K -59, ?, 424468, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -69, ?, 320280, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 1848, 0, 1, United-States, <=50K -25, Private, 120238, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 2885, 0, 43, United-States, <=50K -50, ?, 194186, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Private, 247053, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 180599, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -29, Local-gov, 190330, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -29, State-gov, 199450, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 199539, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -17, ?, 94366, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 6, United-States, <=50K -50, Self-emp-not-inc, 29231, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Private, 33126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 102085, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 212064, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -54, State-gov, 166774, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -65, Private, 95303, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -18, ?, 379768, HS-grad, 9, Never-married, ?, Own-child, Other, Female, 0, 0, 40, United-States, <=50K -70, Self-emp-inc, 247383, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 229465, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -37, Private, 135436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K -21, Private, 180052, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 214387, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, State-gov, 149337, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 38, United-States, <=50K -26, Private, 208326, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3942, 0, 45, United-States, <=50K -31, Private, 34374, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -45, Self-emp-not-inc, 58683, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 403037, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 32365, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -49, Private, 155489, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Self-emp-inc, 289886, HS-grad, 9, Never-married, Other-service, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -30, Federal-gov, 54684, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, ?, <=50K -19, Private, 101549, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -48, Self-emp-inc, 51579, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -41, Private, 40151, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -29, Private, 244721, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, >50K -47, Local-gov, 228372, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -53, Local-gov, 236873, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, Private, 250249, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -71, Private, 93202, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -29, Private, 176723, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -43, Local-gov, 175526, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 91842, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -52, Private, 71768, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 181220, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 204516, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 89172, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, <=50K -37, Federal-gov, 143547, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 310889, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Local-gov, 150324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 216472, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -64, Private, 212838, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -45, Private, 168283, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 187702, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -19, Private, 60661, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 52, United-States, <=50K -54, Private, 115284, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, >50K -61, Self-emp-inc, 98350, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K -18, Private, 195372, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -62, ?, 81578, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 111567, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 244572, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -54, Private, 230919, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 282604, Some-college, 10, Married-civ-spouse, Protective-serv, Other-relative, White, Male, 0, 0, 24, United-States, <=50K -54, Private, 320196, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -42, Private, 201466, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Federal-gov, 254211, Masters, 14, Widowed, Sales, Unmarried, White, Male, 0, 0, 50, El-Salvador, >50K -41, Private, 599629, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, >50K -47, Local-gov, 219632, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -31, State-gov, 161631, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 202373, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 169549, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 127185, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -18, Private, 184277, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -58, Private, 119751, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Other-relative, Asian-Pac-Islander, Female, 0, 0, 60, Philippines, <=50K -23, Private, 294701, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 26842, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -43, State-gov, 114537, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 126386, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 163787, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 98211, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 175509, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 159854, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-inc, 120920, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 187551, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -41, State-gov, 27305, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 216711, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Local-gov, 218596, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 280292, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, <=50K -40, Private, 200496, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 78090, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -23, Private, 118693, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 203488, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Local-gov, 172091, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 113364, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -72, Self-emp-not-inc, 139889, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 74, United-States, <=50K -43, Local-gov, 301638, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 40, United-States, <=50K -32, Private, 110279, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -53, Private, 242859, Some-college, 10, Separated, Adm-clerical, Own-child, White, Male, 0, 0, 40, Cuba, <=50K -18, Private, 132986, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -38, Private, 254439, 10th, 6, Widowed, Transport-moving, Unmarried, Black, Male, 114, 0, 40, United-States, <=50K -41, Federal-gov, 187462, Assoc-voc, 11, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 264961, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K -70, ?, 148065, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, >50K -46, Self-emp-inc, 200949, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, ?, <=50K -47, Private, 47247, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -56, Local-gov, 571017, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 15, United-States, <=50K -28, Private, 416577, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 2829, 0, 40, United-States, <=50K -55, State-gov, 296991, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -50, State-gov, 45961, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 6849, 0, 40, United-States, <=50K -47, Private, 302711, 11th, 7, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-inc, 50356, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 199336, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 25, United-States, <=50K -42, Private, 341178, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 44, Mexico, <=50K -42, Federal-gov, 70240, Some-college, 10, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -46, Private, 229394, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 390368, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 15024, 0, 99, United-States, >50K -55, Private, 82098, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K -57, Private, 170411, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 109532, 12th, 8, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 142682, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, Dominican-Republic, <=50K -34, Self-emp-inc, 127651, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -27, Local-gov, 236472, Bachelors, 13, Divorced, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 176047, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 2176, 0, 40, United-States, <=50K -37, Private, 111499, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 425199, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 229009, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 232713, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 594, 0, 30, United-States, <=50K -70, Private, 141742, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 9386, 0, 50, United-States, >50K -37, Private, 234807, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -45, Private, 738812, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K -56, Private, 204816, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -64, Private, 342494, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 226311, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -23, Private, 143062, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 125155, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 90, United-States, <=50K -23, Private, 329925, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -26, ?, 208994, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K -56, Local-gov, 212864, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 214242, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -47, Self-emp-not-inc, 191175, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 2179, 50, Mexico, <=50K -21, Private, 118693, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 253593, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 206051, Some-college, 10, Married-spouse-absent, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -72, Private, 497280, 9th, 5, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -69, Self-emp-not-inc, 240562, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K -19, Private, 140985, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -25, Local-gov, 191921, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 25, United-States, <=50K -56, Private, 204049, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 50, United-States, >50K -42, Private, 331651, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 50, United-States, >50K -58, Private, 142158, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 249046, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 213019, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 38, United-States, >50K -40, Private, 199599, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 186191, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, ?, <=50K -25, Private, 28008, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 82488, Bachelors, 13, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K -36, Private, 117073, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 325786, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 37546, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 204226, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 133299, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 29702, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 307812, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 174545, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K -23, Private, 233472, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 184147, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -27, Private, 198188, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2580, 0, 45, United-States, <=50K -32, Private, 447066, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 15024, 0, 50, United-States, >50K -33, Private, 200246, Some-college, 10, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 166585, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -21, Private, 335570, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, ?, <=50K -39, Private, 53569, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 167065, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 113364, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -40, Federal-gov, 219266, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Federal-gov, 200042, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -20, Private, 205975, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -63, ?, 234083, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 2205, 40, United-States, <=50K -56, Private, 65325, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Local-gov, 194740, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 99065, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 39, United-States, <=50K -25, Private, 212793, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -33, Private, 112941, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -41, State-gov, 187322, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 283676, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 173682, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 168470, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 186454, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 13550, 0, 40, United-States, >50K -58, Private, 141807, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K -25, Private, 245628, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, Mexico, <=50K -31, Private, 264864, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -39, Private, 262841, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -55, Private, 37438, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 170800, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -44, Private, 152150, Assoc-acdm, 12, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, ?, 211873, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 1628, 5, ?, <=50K -44, Private, 159580, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 477209, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, United-States, <=50K -32, Private, 70985, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 241998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 249541, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 135339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -32, Private, 44675, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K -46, State-gov, 247992, 7th-8th, 4, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 221626, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 1579, 20, United-States, <=50K -43, Self-emp-inc, 48087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Local-gov, 114045, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -60, State-gov, 69251, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 38, China, >50K -67, Private, 192670, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 268392, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -55, ?, 170994, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 431513, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, >50K -19, State-gov, 37332, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 35865, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -43, Private, 183891, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 150309, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 90, United-States, <=50K -65, Private, 93318, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, <=50K -32, Private, 171814, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, State-gov, 183735, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 353541, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Local-gov, 152351, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K -72, ?, 271352, 10th, 6, Divorced, ?, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -34, Private, 345705, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K -27, Private, 223751, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -75, Self-emp-inc, 164570, 11th, 7, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -39, ?, 281363, 10th, 6, Widowed, ?, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -51, Private, 110747, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -47, Private, 34458, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 254293, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 270147, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -48, Private, 195491, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -36, Local-gov, 255454, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 126125, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -33, Private, 618191, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 163110, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 145409, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 48, United-States, >50K -39, State-gov, 235379, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 55465, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -67, Local-gov, 181220, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -42, Private, 26672, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -59, Private, 98361, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 219883, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 376683, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 2036, 0, 30, United-States, <=50K -47, Private, 33865, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -68, Private, 168794, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -30, Private, 94245, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 34572, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 348751, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 65382, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 116707, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -51, Private, 178054, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K -24, Private, 140001, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 166889, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 1602, 35, United-States, <=50K -24, Private, 117789, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 238917, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -48, Local-gov, 242923, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1848, 40, United-States, >50K -52, Local-gov, 330799, 9th, 5, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 209460, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 75313, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 66, United-States, >50K -29, ?, 339100, 11th, 7, Divorced, ?, Not-in-family, White, Female, 3418, 0, 48, United-States, <=50K -20, Private, 184779, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K -31, Private, 139000, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 361742, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 260782, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, ?, <=50K -51, Private, 203435, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 100579, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 356067, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K -46, Private, 87250, Bachelors, 13, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 264663, Some-college, 10, Separated, Prof-specialty, Own-child, White, Female, 0, 3900, 40, United-States, <=50K -29, Private, 255817, 5th-6th, 3, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, El-Salvador, <=50K -48, Self-emp-not-inc, 243631, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 30, South, <=50K -34, Self-emp-inc, 544268, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -42, Self-emp-not-inc, 98061, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 95691, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, Columbia, <=50K -47, Private, 145868, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 65038, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 227734, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 22, United-States, <=50K -19, Local-gov, 176831, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -22, Private, 211678, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Local-gov, 157240, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 70, United-States, <=50K -41, Self-emp-not-inc, 145441, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K -71, Self-emp-inc, 66624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 60, United-States, >50K -42, Private, 76487, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, State-gov, 557853, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -69, ?, 262352, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, United-States, <=50K -58, Self-emp-not-inc, 118253, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -36, Private, 146625, 11th, 7, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 12, United-States, <=50K -31, Private, 174201, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -20, ?, 66695, Some-college, 10, Never-married, ?, Own-child, Other, Female, 594, 0, 35, United-States, <=50K -41, Private, 121130, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 385847, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 83439, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 114158, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -27, Private, 381789, 12th, 8, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K -17, Private, 82041, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Canada, <=50K -35, Self-emp-not-inc, 115618, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -45, Self-emp-not-inc, 106110, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 99, United-States, <=50K -44, Private, 267521, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 90692, Assoc-voc, 11, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -51, Private, 57101, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 236913, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -64, Self-emp-not-inc, 388625, 10th, 6, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, >50K -54, Self-emp-not-inc, 261207, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, Cuba, <=50K -43, Private, 245487, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -32, Private, 262153, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 225516, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Male, 10520, 0, 43, United-States, >50K -26, Self-emp-not-inc, 68729, HS-grad, 9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -37, Private, 126954, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 85074, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 383306, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 128143, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 50, United-States, >50K -47, Private, 185041, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -42, Private, 99373, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, Local-gov, 157942, HS-grad, 9, Widowed, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -43, Private, 241928, HS-grad, 9, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K -37, Private, 348739, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -37, Private, 95654, 10th, 6, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 367306, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 270421, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -63, ?, 221592, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Self-emp-not-inc, 156951, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K -42, State-gov, 39239, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -32, Private, 72744, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, State-gov, 367292, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 408498, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 361493, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -65, Self-emp-inc, 157403, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 231263, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 244147, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 10, United-States, <=50K -24, Private, 220944, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -51, Federal-gov, 314007, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, ?, 200862, 10th, 6, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -28, Private, 33374, 11th, 7, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -32, Self-emp-inc, 345489, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -77, Private, 83601, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 162302, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 112847, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 147344, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -57, State-gov, 183657, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 35, United-States, >50K -40, Private, 130760, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 163948, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 316797, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, Mexico, <=50K -54, Federal-gov, 332243, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 195844, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Local-gov, 387250, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -38, State-gov, 188303, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 40, United-States, >50K -68, ?, 40956, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -17, Private, 178953, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 398988, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 535978, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 296982, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 231991, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 295799, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, State-gov, 201569, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -58, Private, 193568, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 97128, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -42, Private, 203393, Bachelors, 13, Married-civ-spouse, Craft-repair, Wife, Black, Female, 0, 0, 35, United-States, >50K -49, Private, 138370, Masters, 14, Married-spouse-absent, Protective-serv, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -41, Self-emp-inc, 120277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K -43, Private, 91949, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 228372, Bachelors, 13, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, >50K -28, Private, 132191, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Self-emp-not-inc, 274683, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -50, Local-gov, 196307, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -57, Private, 195835, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 185399, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 38, United-States, <=50K -79, Self-emp-not-inc, 103684, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 140559, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, White, Female, 0, 0, 45, United-States, <=50K -35, Federal-gov, 110188, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -35, Local-gov, 668319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 80, United-States, <=50K -30, Private, 112358, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 151810, 10th, 6, Never-married, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 48120, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Female, 1506, 0, 40, United-States, <=50K -48, Private, 144844, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 205839, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 113760, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -50, Private, 138358, 10th, 6, Separated, Adm-clerical, Not-in-family, Black, Female, 0, 0, 47, Jamaica, <=50K -47, Self-emp-not-inc, 216657, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 278576, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 174373, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -73, Private, 220019, 9th, 5, Widowed, Other-service, Unmarried, White, Female, 0, 0, 9, United-States, <=50K -24, ?, 311949, HS-grad, 9, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, ?, <=50K -34, Private, 303867, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 154210, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K -28, ?, 131310, 12th, 8, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, Germany, <=50K -46, Private, 202560, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -20, ?, 358783, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 423024, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -24, Private, 206671, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, State-gov, 245310, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -18, Private, 31983, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 124956, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 90, United-States, >50K -59, Private, 118358, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 491421, 5th-6th, 3, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 151580, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 248990, 1st-4th, 2, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 24, Mexico, <=50K -42, Private, 157425, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -36, Private, 221650, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Japan, <=50K -62, Private, 88055, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K -71, Private, 216608, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 682947, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -44, Private, 228124, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, ?, 217194, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -49, Self-emp-not-inc, 171540, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -60, Self-emp-inc, 210827, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -28, Self-emp-not-inc, 410351, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Poland, <=50K -26, Private, 163747, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -18, Private, 108892, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -43, Private, 180096, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -65, Local-gov, 153890, 12th, 8, Widowed, Exec-managerial, Not-in-family, White, Male, 2009, 0, 44, United-States, <=50K -23, Private, 117480, 10th, 6, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 44, United-States, <=50K -21, Private, 163333, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -20, Self-emp-not-inc, 306710, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 150553, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 18, Philippines, <=50K -77, Private, 123959, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -32, Private, 24961, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 327120, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -29, Self-emp-not-inc, 33798, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -59, Private, 81929, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K -22, Private, 298489, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, ?, 101697, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -31, Private, 144064, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -59, Self-emp-not-inc, 195835, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Federal-gov, 184723, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -56, Private, 265086, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 235909, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 42645, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, State-gov, 279878, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 104892, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 137063, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 38, United-States, <=50K -38, Self-emp-not-inc, 58972, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 126675, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -19, Private, 286435, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K -46, Private, 191389, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 28, United-States, >50K -42, Private, 183241, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -29, Private, 91547, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 52781, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -29, Private, 210959, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 365516, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 112271, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 269455, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 164379, Bachelors, 13, Divorced, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, >50K -28, Private, 109621, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 104858, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, >50K -39, Private, 99270, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 193524, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -70, ?, 149040, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2964, 0, 12, United-States, <=50K -60, State-gov, 313946, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 162358, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -59, Private, 200700, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 48, United-States, >50K -21, Private, 116489, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 60, United-States, <=50K -22, Private, 118310, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 16, United-States, <=50K -31, Private, 352465, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -40, Private, 107433, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -33, Private, 296538, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Local-gov, 195897, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Self-emp-not-inc, 216283, Assoc-acdm, 12, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, >50K -62, Private, 345780, Assoc-voc, 11, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 216685, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, <=50K -28, Local-gov, 210945, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 60, United-States, <=50K -43, Private, 184321, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 1887, 40, United-States, >50K -55, Self-emp-not-inc, 322691, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 55, United-States, >50K -42, Private, 192712, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 178272, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Federal-gov, 321333, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Self-emp-inc, 120277, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 45, United-States, >50K -19, Private, 294029, 11th, 7, Never-married, Sales, Own-child, Other, Female, 0, 0, 32, Nicaragua, <=50K -23, Private, 112819, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 152636, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -63, ?, 301611, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -51, Private, 134808, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 64216, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K -29, State-gov, 214284, Masters, 14, Never-married, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 20, Taiwan, <=50K -25, Private, 469572, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -44, Self-emp-not-inc, 282722, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -17, Private, 231439, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -42, Self-emp-inc, 120277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 364685, 11th, 7, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K -26, Private, 18827, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 169129, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 202051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -58, ?, 353244, Bachelors, 13, Widowed, ?, Unmarried, White, Female, 27828, 0, 50, United-States, >50K -19, Private, 574271, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K -65, State-gov, 29276, 7th-8th, 4, Widowed, Other-service, Other-relative, White, Female, 0, 0, 24, United-States, <=50K -52, Self-emp-not-inc, 104501, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K -17, Private, 394176, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 85625, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 22, United-States, <=50K -53, Private, 340723, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 149342, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 73715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 143083, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 18, United-States, <=50K -40, Local-gov, 290660, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K -49, Local-gov, 98738, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -86, Private, 149912, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 309033, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 60, United-States, >50K -43, Self-emp-not-inc, 96129, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, Private, 216096, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K -32, Private, 171091, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Self-emp-not-inc, 79303, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Local-gov, 182380, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 36271, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 118197, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -46, Private, 269652, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 38, United-States, >50K -39, Local-gov, 193815, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 141957, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 70, United-States, >50K -26, Private, 222637, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 55, Puerto-Rico, <=50K -27, Private, 118230, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 174040, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -64, State-gov, 105748, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -90, Self-emp-not-inc, 82628, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2964, 0, 12, United-States, <=50K -51, Private, 205100, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -36, Private, 107916, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K -39, Private, 130620, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, Dominican-Republic, <=50K -30, ?, 361817, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -47, Self-emp-not-inc, 235646, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 53277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -24, Private, 456460, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 293091, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -62, Private, 210935, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -48, ?, 199763, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -62, ?, 223447, 12th, 8, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -35, Self-emp-not-inc, 233533, Bachelors, 13, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -27, Private, 95647, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -49, Private, 199763, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -18, Private, 74539, 10th, 6, Never-married, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -19, Private, 84610, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -63, Self-emp-inc, 96930, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 115602, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K -24, Private, 237341, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -61, Private, 143800, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Self-emp-inc, 163921, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -36, Private, 68273, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 113163, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K -38, Self-emp-inc, 478829, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 50, United-States, >50K -30, Private, 345705, Some-college, 10, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 385077, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 2907, 0, 40, United-States, <=50K -33, Private, 192286, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 52, United-States, <=50K -39, Local-gov, 236391, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, >50K -42, Private, 106679, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -47, ?, 308242, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 46094, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K -29, Private, 194940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 341643, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -23, Private, 210474, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 76313, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -34, Private, 115858, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 55191, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 364862, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 334787, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 205733, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 120163, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 333677, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 2463, 0, 35, United-States, <=50K -25, Private, 208591, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 341204, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 1831, 0, 30, United-States, <=50K -56, Self-emp-not-inc, 115422, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-inc, 111319, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 45, United-States, >50K -54, Private, 816750, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K -25, Private, 167835, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K -28, Private, 92262, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 91964, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 107682, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, State-gov, 135388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 597843, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, Columbia, <=50K -19, Private, 389942, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 442274, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 595461, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -52, Private, 284329, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -33, Self-emp-not-inc, 127894, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 196899, Bachelors, 13, Never-married, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, Haiti, <=50K -58, Private, 212534, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 71209, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -39, Private, 237943, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K -38, Private, 190759, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 100313, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -41, Private, 344624, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -27, ?, 194024, 9th, 5, Separated, ?, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -19, Private, 87497, 11th, 7, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 10, United-States, <=50K -22, Private, 236907, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -59, Private, 169639, Assoc-acdm, 12, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 105803, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 45, United-States, >50K -31, Private, 149507, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -18, Private, 294387, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 161708, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -28, Private, 282389, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 64940, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 195727, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 37931, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 170720, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 152958, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -28, Private, 312372, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 15024, 0, 40, United-States, >50K -41, Private, 39581, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 24, El-Salvador, <=50K -50, Private, 206862, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -46, Private, 216934, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, Portugal, <=50K -20, Private, 143062, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 242391, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -28, Private, 165030, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 199251, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 353012, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -66, Private, 174491, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, ?, 333305, Some-college, 10, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 203138, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 50, United-States, >50K -25, Private, 220220, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 45, United-States, <=50K -55, Federal-gov, 305850, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -48, Local-gov, 273402, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, <=50K -56, Private, 201344, Some-college, 10, Widowed, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -47, Self-emp-not-inc, 218676, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -55, Self-emp-not-inc, 141807, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, State-gov, 222434, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 266860, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -40, Private, 34113, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Male, 6849, 0, 43, United-States, <=50K -41, Private, 159549, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 195248, Some-college, 10, Never-married, Sales, Own-child, Other, Female, 0, 0, 20, United-States, <=50K -52, Private, 109413, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 195343, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Male, 15020, 0, 50, United-States, >50K -46, Private, 185291, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, >50K -21, ?, 140012, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Self-emp-not-inc, 114366, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 169631, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 163870, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 3908, 0, 40, United-States, <=50K -35, Private, 312232, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 229737, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, India, >50K -70, ?, 306563, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 161637, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 40, Taiwan, >50K -34, Private, 106014, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -21, Private, 25265, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -29, Private, 71860, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, Self-emp-inc, 94113, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Self-emp-not-inc, 208003, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 113550, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 83046, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-inc, 277488, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 65, United-States, >50K -19, Private, 205830, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, El-Salvador, <=50K -46, Private, 273575, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 15024, 0, 40, United-States, >50K -23, Private, 245147, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 274720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 163047, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, State-gov, 47902, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 128798, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -77, Private, 154205, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -27, Private, 176683, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Self-emp-inc, 104737, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -54, Private, 349340, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -39, State-gov, 218249, Some-college, 10, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -32, Private, 281540, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Federal-gov, 112847, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -24, Local-gov, 126613, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -50, Self-emp-not-inc, 145419, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 45, United-States, >50K -32, Self-emp-not-inc, 34572, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -26, Private, 104045, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, ?, 57665, Bachelors, 13, Divorced, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 359001, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K -47, Private, 105273, Bachelors, 13, Widowed, Craft-repair, Unmarried, Black, Female, 6497, 0, 40, United-States, <=50K -31, Private, 201122, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 160035, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -50, Private, 167886, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 32059, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-inc, 200453, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 403072, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 37210, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 199416, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 413227, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -29, ?, 188675, Some-college, 10, Divorced, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -42, Private, 226902, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -37, Private, 195189, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 116608, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 99131, Masters, 14, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -32, Private, 553405, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 50, United-States, >50K -52, Local-gov, 186117, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, >50K -29, State-gov, 67053, HS-grad, 9, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Thailand, <=50K -39, Private, 347960, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 14084, 0, 35, United-States, >50K -39, Private, 325374, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -69, Private, 130413, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 2346, 0, 15, United-States, <=50K -43, Private, 111949, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -39, Private, 278557, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1628, 48, United-States, <=50K -19, Private, 194905, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -60, Local-gov, 195453, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -51, Private, 282549, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 3137, 0, 40, United-States, <=50K -75, Private, 316119, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -37, State-gov, 252939, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, Black, Female, 5455, 0, 40, United-States, <=50K -24, State-gov, 506329, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -20, Private, 316043, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 594, 0, 20, United-States, <=50K -58, Federal-gov, 319733, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K -21, State-gov, 99199, Masters, 14, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 15, United-States, <=50K -28, Private, 204600, HS-grad, 9, Separated, Protective-serv, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 173307, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 34446, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Self-emp-not-inc, 237293, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K -41, Private, 175642, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 203735, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Local-gov, 171589, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -26, Private, 197967, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -29, Private, 413297, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K -45, Private, 240841, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 152189, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 85874, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 176814, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -51, Local-gov, 133336, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -22, Private, 362623, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 37170, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K -28, Private, 30912, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 35448, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -33, Private, 173248, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 35, United-States, <=50K -37, Private, 49626, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 43, United-States, <=50K -19, Private, 102723, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -90, ?, 166343, 1st-4th, 2, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 168322, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 131117, 7th-8th, 4, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 38, Columbia, <=50K -20, ?, 210474, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K -25, Private, 110138, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 107452, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 160594, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -32, Local-gov, 186784, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5013, 0, 45, United-States, <=50K -70, Local-gov, 334666, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -65, ?, 191380, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 9386, 0, 50, United-States, >50K -57, Private, 104272, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 19491, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 128715, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 128063, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -26, Self-emp-not-inc, 37023, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 78, United-States, <=50K -44, Private, 68748, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -66, Private, 140576, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 327435, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 202729, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 277471, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 189670, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, United-States, <=50K -61, Private, 204908, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 171841, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 78247, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 68895, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, Mexico, <=50K -27, Private, 56658, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 8, United-States, <=50K -58, Local-gov, 259216, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, State-gov, 270278, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 12, Puerto-Rico, <=50K -56, Private, 238806, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 26, United-States, <=50K -36, Private, 111128, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -29, Private, 119429, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 73037, 10th, 6, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -61, Self-emp-not-inc, 84409, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -66, Self-emp-not-inc, 274451, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, >50K -31, Private, 246439, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7298, 0, 50, United-States, >50K -21, Private, 124242, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 123393, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 6418, 0, 58, United-States, >50K -26, Private, 159732, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 161415, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 157568, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 168030, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -59, State-gov, 349910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 50, United-States, >50K -82, Self-emp-inc, 130329, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, State-gov, 56964, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -29, Private, 370509, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, France, >50K -19, Private, 106306, Some-college, 10, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 56480, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 1, United-States, <=50K -41, Private, 115932, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -55, Private, 154580, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 2580, 0, 40, United-States, <=50K -27, Private, 404421, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 194901, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -43, State-gov, 164790, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K -72, Federal-gov, 94242, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -68, Self-emp-not-inc, 365020, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 160512, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 170331, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 101266, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 100252, Bachelors, 13, Divorced, Other-service, Not-in-family, Asian-Pac-Islander, Male, 99999, 0, 70, United-States, >50K -54, Private, 217718, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 30, Haiti, <=50K -32, Private, 170154, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Female, 25236, 0, 50, United-States, >50K -56, Private, 105281, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K -39, ?, 361838, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 6, United-States, >50K -41, State-gov, 283917, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -48, Private, 39530, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 212185, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 48, United-States, <=50K -25, Self-emp-inc, 90752, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 202450, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1573, 40, United-States, <=50K -32, Private, 168138, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 2597, 0, 48, United-States, <=50K -51, Private, 159755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -42, Private, 191765, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 2339, 40, Trinadad&Tobago, <=50K -22, ?, 210802, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -31, Private, 340880, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -43, Self-emp-not-inc, 113211, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 134509, Some-college, 10, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, State-gov, 147280, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 40, United-States, <=50K -40, Private, 145441, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Private, 398001, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -53, Private, 31588, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, >50K -56, Private, 189975, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 60, United-States, >50K -51, State-gov, 231495, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K -38, ?, 121135, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 186916, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Self-emp-inc, 213140, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K -47, Private, 176893, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Black, Male, 8614, 0, 44, United-States, >50K -22, Private, 115244, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 313243, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 2444, 45, United-States, >50K -41, Local-gov, 169995, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -19, Private, 198459, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 2001, 40, United-States, <=50K -27, Local-gov, 66824, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 3325, 0, 43, United-States, <=50K -48, Self-emp-not-inc, 52240, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, >50K -52, Private, 35305, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 7, United-States, <=50K -61, State-gov, 186451, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -45, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K -29, Private, 210464, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 207685, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 21, United-States, <=50K -38, Private, 233717, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Male, 0, 0, 60, United-States, <=50K -32, Private, 222205, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -37, Private, 167613, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 148773, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Local-gov, 68268, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 174533, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 273230, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 187502, HS-grad, 9, Never-married, Sales, Own-child, Black, Male, 0, 0, 24, United-States, <=50K -47, Private, 209320, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 56841, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, <=50K -55, Private, 254627, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 42703, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 374137, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 196385, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 192930, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -39, Private, 99527, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 185437, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -43, Private, 247162, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Federal-gov, 131534, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 184693, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, Mexico, <=50K -27, Private, 704108, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 220262, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 95654, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 60, United-States, <=50K -67, Private, 89346, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 94392, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 334113, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 32763, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -31, Private, 136651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -51, Self-emp-not-inc, 240236, Assoc-acdm, 12, Separated, Sales, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -29, Private, 53271, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 31493, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, >50K -32, Private, 195891, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Local-gov, 209103, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3464, 0, 45, United-States, <=50K -26, Private, 211424, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Local-gov, 84657, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 151408, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 106819, 7th-8th, 4, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 19, United-States, <=50K -62, Private, 132917, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 20, United-States, <=50K -54, Private, 146834, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -55, Private, 164332, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -24, Private, 30656, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 113501, Masters, 14, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 45, United-States, <=50K -18, Private, 165316, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -22, Private, 233955, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 14344, 0, 40, United-States, >50K -21, Private, 126613, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-not-inc, 361280, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 80, Philippines, >50K -50, ?, 123044, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, >50K -38, Private, 165472, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 99452, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 84977, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 240458, 11th, 7, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 230858, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 60, United-States, >50K -60, Private, 123218, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 191118, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 7298, 0, 40, United-States, >50K -38, Private, 115289, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 373895, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -43, Private, 152617, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, State-gov, 72619, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -17, Private, 41865, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 190228, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 193090, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -28, Private, 138692, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -83, Self-emp-inc, 153183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 55, United-States, >50K -25, Private, 181896, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 268183, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 60, United-States, <=50K -46, Local-gov, 213668, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 99369, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Other, Female, 0, 0, 50, United-States, <=50K -44, Private, 104196, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -60, Self-emp-not-inc, 176839, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -30, Local-gov, 99502, Assoc-voc, 11, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -24, Private, 183410, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 17, United-States, <=50K -17, Private, 25690, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -76, ?, 201986, 11th, 7, Widowed, ?, Other-relative, White, Female, 0, 0, 16, United-States, <=50K -31, Private, 188961, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 114971, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 121468, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K -73, Self-emp-inc, 191540, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 146398, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K -48, Private, 193553, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -60, Private, 121127, 10th, 6, Widowed, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 389856, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 290504, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -54, State-gov, 137065, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -50, Local-gov, 212685, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 71475, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 111450, Some-college, 10, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 22, United-States, <=50K -35, Private, 225860, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 129853, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 99925, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 32, United-States, <=50K -58, Private, 227800, 1st-4th, 2, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -55, State-gov, 111130, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -29, Private, 100764, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -47, Private, 275095, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 147500, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K -63, Local-gov, 150079, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -27, Private, 140863, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -62, ?, 199198, 11th, 7, Divorced, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 193372, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 196771, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -31, Private, 231826, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 52, Mexico, <=50K -40, Federal-gov, 196456, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 34037, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -52, Private, 174964, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 91608, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 403468, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, Mexico, <=50K -33, Private, 112900, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 242670, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Local-gov, 187830, HS-grad, 9, Divorced, Tech-support, Unmarried, White, Male, 4934, 0, 36, United-States, >50K -25, Self-emp-not-inc, 368115, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 35, United-States, >50K -54, Private, 343242, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 113390, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 60, United-States, <=50K -28, Private, 200733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 236769, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 22494, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Federal-gov, 129379, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 239098, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 167501, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 77146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -47, Private, 82797, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Self-emp-not-inc, 134886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -40, Self-emp-inc, 218558, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Private, 207568, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -26, Private, 196899, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 200960, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Private, 188069, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K -60, Private, 232337, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 98656, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, State-gov, 194260, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -49, ?, 481987, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 234976, 11th, 7, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -29, Private, 349116, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -39, Private, 175390, HS-grad, 9, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 187720, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, ?, >50K -26, Private, 214637, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 185127, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 98752, 9th, 5, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Local-gov, 218382, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -51, Private, 153486, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -51, Federal-gov, 174102, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 137142, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Private, 241013, 7th-8th, 4, Widowed, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 267798, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -41, ?, 152880, HS-grad, 9, Divorced, ?, Not-in-family, Black, Female, 0, 0, 28, United-States, <=50K -31, Private, 263561, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 113324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -20, Private, 39764, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 172186, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 460408, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 45, United-States, <=50K -42, Self-emp-not-inc, 185129, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -51, Private, 61270, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Self-emp-inc, 124685, Masters, 14, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 99, Japan, >50K -69, Self-emp-not-inc, 76968, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K -63, ?, 310396, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 5178, 0, 40, United-States, >50K -29, Federal-gov, 37933, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 2174, 0, 40, United-States, <=50K -21, Private, 38772, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 172496, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -55, Private, 306164, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 33795, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -48, Private, 47686, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 193132, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -52, Private, 400004, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 101283, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 192384, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 113838, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 278322, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -56, Private, 199713, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 236021, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 138938, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K -36, Private, 126946, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 44791, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 31964, 9th, 5, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, State-gov, 352156, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -70, Self-emp-not-inc, 205860, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 113106, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -57, Private, 89182, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 250782, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -37, Private, 193855, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, <=50K -50, Self-emp-not-inc, 132716, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -68, Private, 218637, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2377, 55, United-States, >50K -28, Private, 177955, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K -32, Private, 198660, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 207937, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K -18, Private, 168740, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -45, Private, 199625, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -22, Private, 213902, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -38, Private, 208379, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -37, Private, 113120, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 57827, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 515712, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 54190, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -53, Self-emp-inc, 134793, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -18, Private, 396270, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 25, United-States, <=50K -30, Private, 231620, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -50, Private, 174655, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -63, ?, 97823, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 344480, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 4064, 0, 40, United-States, <=50K -48, Private, 176732, 9th, 5, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 143932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 551962, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 50, Peru, <=50K -30, ?, 298577, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -39, Private, 257942, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -55, Local-gov, 253062, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 193748, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -46, Private, 368561, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -50, Private, 192964, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 65, United-States, <=50K -32, Private, 217304, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -18, Private, 120029, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 62124, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -50, Private, 94885, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -32, Private, 192565, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -23, Local-gov, 220912, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 184120, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 140782, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -43, Self-emp-inc, 170785, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -32, Private, 90705, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -37, State-gov, 108293, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -48, Private, 168283, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 339372, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -43, Private, 193672, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 143865, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -30, Private, 209317, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, Dominican-Republic, <=50K -34, State-gov, 204461, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 137088, HS-grad, 9, Married-civ-spouse, Craft-repair, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -41, Private, 149102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -53, Private, 182855, 10th, 6, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -42, Private, 572751, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K -18, Private, 83451, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -81, Private, 98116, Bachelors, 13, Widowed, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -40, Private, 119225, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 134888, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 745817, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 15, United-States, <=50K -41, Private, 88368, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -49, State-gov, 122066, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -22, Private, 363219, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -46, Private, 84402, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -56, Private, 34626, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1980, 40, United-States, <=50K -35, Private, 150042, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -34, Private, 48014, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -29, Local-gov, 177398, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -28, Private, 373698, 12th, 8, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, <=50K -35, Private, 422933, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -29, Private, 131088, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 178255, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, Columbia, <=50K -52, Self-emp-not-inc, 129311, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 95, United-States, >50K -45, Private, 473171, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 236985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -35, ?, 226379, HS-grad, 9, Married-civ-spouse, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -21, ?, 277700, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 207568, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 85708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 98765, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Canada, <=50K -29, Private, 192283, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -29, State-gov, 271012, 10th, 6, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 189265, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 321880, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 15, United-States, <=50K -52, Private, 177465, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -24, Private, 127647, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -32, State-gov, 119033, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 289748, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 4650, 0, 48, United-States, <=50K -32, Private, 209317, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -33, Private, 284531, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 251120, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -28, Private, 113870, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, Without-pay, 170114, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Local-gov, 121124, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 40, United-States, >50K -32, Private, 328199, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 64, United-States, <=50K -26, Private, 206307, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-inc, 236021, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -57, Federal-gov, 170603, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 74275, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 45, United-States, >50K -35, Self-emp-not-inc, 112271, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 118306, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -49, Private, 126754, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -47, Private, 267205, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, >50K -38, Private, 205359, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 32, United-States, <=50K -30, Private, 398662, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 202498, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Columbia, <=50K -32, Private, 105650, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -46, Private, 191204, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 56582, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, Local-gov, 51579, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -57, Self-emp-not-inc, 152030, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, >50K -47, Private, 227310, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 55854, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K -36, Local-gov, 28996, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 160634, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 222450, 11th, 7, Married-spouse-absent, Other-service, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -36, Self-emp-inc, 180419, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -64, Private, 116084, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 40, United-States, <=50K -17, Private, 202521, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -23, Private, 186014, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -40, Private, 88368, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 914, 0, 40, United-States, <=50K -42, State-gov, 190044, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -37, Self-emp-not-inc, 35330, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K -35, Federal-gov, 84848, Some-college, 10, Never-married, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 176280, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -52, Private, 145271, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 108320, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -48, State-gov, 106377, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 65, United-States, >50K -24, Private, 258730, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, Japan, <=50K -33, Private, 58305, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 341672, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -34, Private, 176648, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K -24, ?, 32616, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 481175, Some-college, 10, Never-married, Exec-managerial, Own-child, Other, Male, 0, 0, 24, Peru, <=50K -49, Private, 187454, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 65, United-States, >50K -18, Private, 25837, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -20, Private, 385077, 12th, 8, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 68985, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -19, Private, 181572, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 23698, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K -34, ?, 268127, 12th, 8, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 162298, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 144608, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 250630, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -31, Private, 150441, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -37, Private, 189251, Doctorate, 16, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -64, Private, 260082, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Columbia, <=50K -42, Private, 139126, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 50132, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -36, Self-emp-not-inc, 167691, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -36, Private, 77820, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 156513, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 248059, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3464, 0, 40, United-States, <=50K -24, Private, 283092, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, Jamaica, <=50K -22, Private, 175883, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 232308, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 269991, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Puerto-Rico, <=50K -20, Private, 305446, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 120781, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, ?, >50K -57, Private, 78707, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 351802, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, United-States, <=50K -37, Local-gov, 196529, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -35, Self-emp-inc, 175769, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -17, Private, 153021, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -36, Local-gov, 331902, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -50, Private, 279461, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 145704, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3942, 0, 35, United-States, <=50K -27, State-gov, 205499, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 77, United-States, <=50K -28, Private, 293926, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 30, United-States, <=50K -29, Self-emp-not-inc, 69132, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 99999, 0, 60, United-States, >50K -25, Private, 113099, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 206947, Assoc-acdm, 12, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 67, United-States, <=50K -29, State-gov, 159782, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -19, Private, 410543, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 34446, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 209101, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, >50K -43, Federal-gov, 95902, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 214323, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 236323, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Federal-gov, 201127, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 56, United-States, >50K -40, Private, 142886, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 77313, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -17, ?, 212125, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -36, Private, 187098, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 196857, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -53, Local-gov, 155314, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -72, Self-emp-not-inc, 203289, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -46, Private, 117059, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -33, Private, 178587, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -22, Private, 82393, 9th, 5, Never-married, Handlers-cleaners, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -17, ?, 145258, 11th, 7, Never-married, ?, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -41, Private, 185145, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, ?, >50K -46, Private, 72896, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 43, United-States, <=50K -33, Private, 134886, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 223212, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -52, Self-emp-not-inc, 174752, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 230563, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -48, State-gov, 353824, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K -22, Private, 117363, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 285367, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -60, ?, 139391, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 42, United-States, <=50K -38, Private, 198170, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 38948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 188515, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 177810, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -48, Private, 188432, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 46, United-States, >50K -31, Private, 178506, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 129298, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 165315, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -68, Private, 117236, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 45, United-States, >50K -18, ?, 172214, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -19, Private, 63434, 12th, 8, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 30, United-States, <=50K -35, Self-emp-inc, 140854, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 133043, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -53, Private, 113176, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K -33, Private, 259301, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 41, United-States, <=50K -20, Private, 196643, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 364365, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -36, Private, 269318, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 108454, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 171637, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 183589, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K -24, Private, 107801, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 179877, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 168981, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -37, Private, 120590, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -31, Private, 310773, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -21, Private, 197050, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -47, Private, 159726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 85, United-States, >50K -23, Private, 210797, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 55291, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -60, ?, 141221, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 2163, 25, South, <=50K -17, Private, 276718, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -67, Private, 336163, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 24, United-States, <=50K -57, Private, 112840, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -17, Private, 165918, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, Peru, <=50K -53, Private, 165745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Self-emp-not-inc, 259299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 50, United-States, >50K -24, State-gov, 197731, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 49, United-States, >50K -48, Self-emp-not-inc, 197702, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 162238, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 47, United-States, >50K -38, Private, 213260, HS-grad, 9, Separated, Protective-serv, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 53833, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K -18, Private, 89419, HS-grad, 9, Never-married, Tech-support, Own-child, White, Female, 0, 0, 10, United-States, <=50K -23, Private, 119704, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 433170, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 182714, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, ?, <=50K -39, Private, 172538, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 220115, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 12, United-States, <=50K -39, Private, 158956, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Self-emp-not-inc, 25631, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 476558, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -54, Federal-gov, 35576, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 203463, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, State-gov, 317647, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 170411, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, ?, 174182, 11th, 7, Married-civ-spouse, ?, Wife, Other, Female, 0, 0, 24, United-States, <=50K -54, Private, 220055, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 231482, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 335979, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 991, 0, 18, United-States, <=50K -33, Private, 279173, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 89559, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 161950, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, Germany, <=50K -51, Private, 131068, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 219632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 175507, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -58, Self-emp-inc, 182062, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 24, United-States, >50K -27, Private, 287476, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 3325, 0, 40, United-States, <=50K -36, Private, 206253, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K -20, ?, 189203, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 21698, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 328051, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -32, Private, 356689, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 3887, 0, 40, United-States, <=50K -59, Private, 121865, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 420986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -43, ?, 218558, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 288992, 10th, 6, Divorced, Prof-specialty, Unmarried, White, Male, 14344, 0, 68, United-States, >50K -20, ?, 189740, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 32, United-States, <=50K -29, Local-gov, 188909, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 42, United-States, <=50K -28, Private, 213081, 11th, 7, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, Jamaica, <=50K -18, Self-emp-not-inc, 157131, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 98010, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -46, Private, 207677, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -58, ?, 361870, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K -56, Private, 266091, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K -41, Private, 106627, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 50, United-States, <=50K -50, Self-emp-inc, 167793, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 60, United-States, >50K -74, Self-emp-not-inc, 206682, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1648, 35, United-States, <=50K -30, Private, 243165, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 201928, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 128346, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 197288, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -20, ?, 169184, Some-college, 10, Never-married, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 245521, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, Mexico, <=50K -36, Private, 129591, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 47415, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1628, 30, United-States, <=50K -37, Self-emp-not-inc, 188563, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K -29, Self-emp-not-inc, 184710, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 63734, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -18, Private, 111256, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -40, Self-emp-inc, 111483, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Self-emp-inc, 266639, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 93853, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 184207, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 238002, 9th, 5, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -28, ?, 30237, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 196545, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, >50K -47, Private, 144844, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 280500, Some-college, 10, Never-married, Tech-support, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -73, ?, 135601, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -37, Private, 409189, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, Mexico, <=50K -50, Private, 23686, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 35, United-States, >50K -19, Private, 229756, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -32, Local-gov, 95530, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Local-gov, 73199, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -20, Private, 196745, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -29, Private, 79481, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, ?, 116934, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 100950, Assoc-voc, 11, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -44, Local-gov, 56651, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K -18, Private, 186954, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -22, Private, 264874, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -39, State-gov, 183092, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -26, Local-gov, 273399, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, Peru, <=50K -29, ?, 142443, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -21, Private, 177526, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 31267, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 321666, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 331861, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, ?, <=50K -25, Private, 283515, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -30, Private, 54608, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 162238, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -30, Private, 175931, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 236804, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 168782, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 227065, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Self-emp-inc, 285335, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Private, 259705, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 24384, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -58, Private, 322013, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 49797, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 52566, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 266275, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -72, Self-emp-not-inc, 285408, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2246, 28, United-States, >50K -26, Self-emp-not-inc, 177858, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1876, 38, United-States, <=50K -45, Federal-gov, 183804, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 107231, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -23, Private, 173679, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Local-gov, 163965, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 173585, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, Peru, <=50K -27, Private, 172009, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 44363, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -45, Private, 246392, HS-grad, 9, Never-married, Priv-house-serv, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -53, Private, 167033, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -54, Private, 143822, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Private, 37869, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -23, Private, 447488, 9th, 5, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K -17, Private, 239346, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K -42, Private, 245975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 34632, 12th, 8, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 121362, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 2258, 38, United-States, >50K -21, State-gov, 24008, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 165492, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 326048, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -46, Private, 250821, Prof-school, 15, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -37, Self-emp-not-inc, 154641, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 86, United-States, <=50K -35, Private, 198202, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 54, United-States, <=50K -27, Local-gov, 170504, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 191342, Some-college, 10, Never-married, Sales, Not-in-family, Other, Male, 0, 0, 40, India, <=50K -19, Private, 238969, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -63, Self-emp-not-inc, 344128, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -69, ?, 148694, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -69, ?, 180187, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, Italy, <=50K -36, State-gov, 168894, Assoc-voc, 11, Married-spouse-absent, Protective-serv, Own-child, White, Female, 0, 0, 40, Germany, <=50K -20, Private, 203263, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -28, State-gov, 89564, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, Private, 97562, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 38, United-States, <=50K -48, Private, 336540, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 139647, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 56, United-States, <=50K -38, Private, 160192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 44, United-States, <=50K -50, Local-gov, 320386, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 32126, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 275445, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -38, Self-emp-inc, 54953, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -54, Private, 103580, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, >50K -42, Private, 245565, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 12, England, <=50K -32, Private, 39223, 10th, 6, Separated, Craft-repair, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -55, State-gov, 117357, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 70, ?, >50K -63, Private, 207385, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -21, Private, 355287, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, Mexico, <=50K -62, ?, 141218, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, >50K -46, Local-gov, 207677, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 102114, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 60269, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 278632, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 355551, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 45, Mexico, <=50K -45, Private, 246891, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 72, Canada, >50K -19, Private, 124486, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 1602, 20, United-States, <=50K -61, ?, 202106, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1902, 40, United-States, >50K -61, Private, 191417, 9th, 5, Widowed, Exec-managerial, Not-in-family, Black, Male, 0, 0, 65, United-States, <=50K -21, Private, 184543, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 122206, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 229015, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 130067, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -40, Local-gov, 306495, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -32, Private, 232855, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -55, Local-gov, 171328, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -64, Private, 144182, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 23, United-States, <=50K -34, Private, 102858, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 199495, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -58, Private, 209438, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 74895, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 55, United-States, <=50K -44, Private, 184378, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 446512, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Federal-gov, 113688, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 333305, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, >50K -19, Private, 118535, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 18, United-States, <=50K -56, Private, 76142, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, Local-gov, 38795, 9th, 5, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 208478, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 18, ?, <=50K -69, Private, 203313, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 991, 0, 18, United-States, <=50K -62, Private, 247483, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -62, State-gov, 198686, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 56118, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Federal-gov, 359808, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 231554, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 50, United-States, <=50K -33, Private, 34848, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 199934, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 7298, 0, 40, United-States, >50K -29, Private, 196243, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Self-emp-inc, 66360, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6418, 0, 35, United-States, >50K -18, Private, 189487, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -22, Private, 194848, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 167309, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 40, United-States, >50K -44, Private, 192878, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 70209, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -52, Federal-gov, 123011, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Self-emp-not-inc, 135339, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 20, China, >50K -48, Federal-gov, 497486, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K -25, Private, 178478, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 149909, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -37, Private, 103323, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 239404, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 45, United-States, <=50K -67, Private, 165082, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -36, Private, 389725, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 374580, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -36, ?, 187983, HS-grad, 9, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 259300, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -19, Private, 277695, 9th, 5, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 16, Mexico, <=50K -24, Private, 230248, 7th-8th, 4, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 196342, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K -17, Private, 160968, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 16, United-States, <=50K -28, Private, 115438, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 231043, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3908, 0, 45, United-States, <=50K -35, Private, 129597, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 46, United-States, <=50K -24, Local-gov, 387108, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 105936, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, >50K -20, Private, 107242, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -55, Private, 125000, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K -22, Private, 229456, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -20, Private, 230113, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 106698, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 133454, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 295520, 9th, 5, Widowed, Sales, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -26, Private, 151551, Some-college, 10, Separated, Sales, Own-child, Amer-Indian-Eskimo, Male, 2597, 0, 48, United-States, <=50K -58, Private, 100313, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 40, United-States, >50K -23, Private, 320294, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 162381, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 183898, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 2354, 0, 40, United-States, <=50K -41, Self-emp-inc, 32016, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 62, United-States, <=50K -31, Private, 117028, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 280278, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -57, Private, 342906, 9th, 5, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 55, United-States, >50K -25, Private, 181598, 11th, 7, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 224059, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 148549, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 97355, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -37, Private, 154571, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -43, Self-emp-inc, 140988, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 45, India, <=50K -20, Private, 148409, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 1055, 0, 20, United-States, <=50K -40, Local-gov, 150755, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 75, United-States, >50K -27, Private, 87006, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1579, 40, United-States, <=50K -35, Private, 112158, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 121488, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, State-gov, 283635, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 69758, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -40, Private, 199900, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 55, United-States, >50K -54, Private, 88019, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -28, Private, 31935, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 323055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 189498, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 89041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 112507, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 236940, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 278514, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Female, 0, 0, 42, United-States, <=50K -21, ?, 433330, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 258379, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, <=50K -44, Private, 162028, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -20, Private, 197997, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 98350, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 37, China, <=50K -39, Private, 165848, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 178615, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 228939, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -27, Private, 210498, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -53, Private, 154891, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 165937, Assoc-voc, 11, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 138768, Bachelors, 13, Never-married, ?, Own-child, White, Male, 2907, 0, 40, United-States, <=50K -39, Private, 160120, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -30, Private, 382368, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 123011, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 119033, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 496856, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 194049, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -30, Private, 299223, Some-college, 10, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -66, Private, 174788, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -39, Private, 176101, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 38948, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 271933, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 122041, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 115932, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -46, Private, 265105, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 100828, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -60, Private, 121319, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3137, 0, 40, Poland, <=50K -63, Private, 308028, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 5013, 0, 40, United-States, <=50K -42, Private, 213214, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 348618, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -33, Private, 275632, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 239161, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -20, Private, 215495, 9th, 5, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -30, Private, 214063, Some-college, 10, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 72, United-States, <=50K -37, Private, 122493, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, ?, 211699, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 175622, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Private, 153522, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 17, United-States, <=50K -35, Private, 258339, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -27, Private, 119793, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 133503, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 45, United-States, >50K -18, Private, 162840, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Local-gov, 67671, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 188888, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K -45, Private, 140644, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 126154, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 245659, Some-college, 10, Separated, Other-service, Unmarried, White, Female, 0, 0, 38, El-Salvador, <=50K -28, Private, 129624, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -47, Private, 104068, HS-grad, 9, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -30, Private, 337908, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 20, United-States, <=50K -36, Private, 161141, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 162228, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 116391, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 314310, HS-grad, 9, Married-spouse-absent, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -61, ?, 394534, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 6, United-States, <=50K -29, Private, 308136, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 194698, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, ?, 67793, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 60, United-States, <=50K -29, Local-gov, 302422, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 1564, 56, United-States, >50K -27, Private, 289147, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 229826, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, United-States, <=50K -22, ?, 154235, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 3781, 0, 35, United-States, <=50K -49, Self-emp-inc, 246739, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Private, 188041, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 187440, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -37, Local-gov, 105266, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 249208, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 48, United-States, >50K -26, Private, 203492, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 71076, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Federal-gov, 146477, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 201699, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K -59, Private, 205949, HS-grad, 9, Separated, Craft-repair, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -70, Private, 90245, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 5, United-States, <=50K -53, Federal-gov, 177647, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, France, >50K -39, Private, 126494, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 257735, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 1161363, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 50, Columbia, <=50K -19, ?, 257343, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 221452, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -74, Private, 260669, 10th, 6, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 1, United-States, <=50K -40, Private, 192344, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 80479, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 108808, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 175674, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 272950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Self-emp-not-inc, 160786, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K -46, Self-emp-not-inc, 122206, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 121168, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 209547, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -29, Federal-gov, 244473, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -39, Private, 176296, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 60, United-States, <=50K -31, Private, 91666, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K -50, Local-gov, 191025, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 4650, 0, 70, United-States, <=50K -31, State-gov, 63704, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 31659, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 191230, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 25, United-States, <=50K -28, Private, 56340, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 221157, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K -57, Local-gov, 143910, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Local-gov, 435836, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, ?, 61499, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 209182, Preschool, 1, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, El-Salvador, <=50K -36, Self-emp-inc, 107218, Some-college, 10, Divorced, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K -51, Private, 55500, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 357962, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -43, Private, 200355, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K -38, Private, 320451, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -51, Local-gov, 184542, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 206927, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 54310, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -35, Private, 208165, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -40, Private, 146908, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -39, Private, 318416, 10th, 6, Separated, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K -47, Self-emp-inc, 207540, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -23, Private, 69911, Preschool, 1, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 305304, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 295289, HS-grad, 9, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 275110, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K -30, Private, 339773, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -57, State-gov, 399246, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 1485, 40, China, <=50K -37, Self-emp-inc, 51264, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 49020, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 48, United-States, >50K -37, Private, 178100, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -45, ?, 215943, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 176178, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -25, State-gov, 180884, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -61, State-gov, 130466, HS-grad, 9, Widowed, Adm-clerical, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -59, Private, 328525, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2414, 0, 15, United-States, <=50K -28, Private, 142712, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 176321, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 145041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Cuba, >50K -29, Private, 95423, HS-grad, 9, Married-AF-spouse, Transport-moving, Husband, White, Male, 0, 0, 80, United-States, <=50K -49, Self-emp-not-inc, 215096, 9th, 5, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -41, Local-gov, 177599, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 123920, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -20, ?, 201490, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 46990, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 20, United-States, >50K -32, Private, 388672, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K -48, Private, 149210, Bachelors, 13, Divorced, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, >50K -24, Private, 134787, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 185407, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, >50K -31, State-gov, 86143, HS-grad, 9, Never-married, Protective-serv, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -23, Private, 41721, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Private, 195744, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 96062, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 215150, 9th, 5, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -52, Private, 270728, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 48, Cuba, <=50K -44, Private, 75012, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K -43, Private, 206139, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Private, 50700, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 224258, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, >50K -31, Private, 240441, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1564, 40, United-States, >50K -40, Self-emp-not-inc, 406811, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -28, Local-gov, 34452, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 361341, 12th, 8, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, Thailand, <=50K -35, Private, 78247, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 106900, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -40, Self-emp-not-inc, 165108, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, England, <=50K -20, Private, 406641, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -55, Private, 171467, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 48, United-States, >50K -30, Private, 341187, 7th-8th, 4, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -38, Private, 119177, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -75, Private, 104896, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 2653, 0, 20, United-States, <=50K -17, Private, 342752, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -79, ?, 76641, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 20051, 0, 40, Poland, >50K -20, Private, 47541, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -25, Private, 233461, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 303954, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 163015, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 75763, Some-college, 10, Married-civ-spouse, Sales, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -19, Private, 43003, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 328239, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 130856, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K -47, Self-emp-not-inc, 190072, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Iran, >50K -59, Private, 170148, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -50, Private, 104501, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Self-emp-inc, 213140, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K -33, Local-gov, 175509, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 173611, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 148995, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 30, United-States, >50K -24, Private, 64520, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 139822, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -24, Private, 258700, 5th-6th, 3, Never-married, Farming-fishing, Other-relative, Black, Male, 0, 0, 40, Mexico, <=50K -29, Private, 34796, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 124963, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 65743, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 161087, Some-college, 10, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, Jamaica, <=50K -63, ?, 424591, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Federal-gov, 203836, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -58, State-gov, 110199, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 316059, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -42, Private, 255667, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -39, Private, 193689, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 60722, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -39, Private, 187847, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 233275, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -51, Private, 215404, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 15024, 0, 40, United-States, >50K -45, Private, 201865, Bachelors, 13, Married-spouse-absent, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 118889, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, State-gov, 368739, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 123833, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -38, Private, 171344, 11th, 7, Married-spouse-absent, Transport-moving, Own-child, White, Male, 0, 0, 36, Mexico, <=50K -39, Private, 153976, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 374883, Assoc-voc, 11, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 167658, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 6, United-States, <=50K -31, Private, 348504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 258509, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 24, United-States, <=50K -47, State-gov, 108890, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 1831, 0, 38, United-States, <=50K -28, Private, 188236, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, ?, 355571, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 425049, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 142555, Masters, 14, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 42, United-States, <=50K -42, Self-emp-not-inc, 29320, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 60, United-States, >50K -52, Federal-gov, 207841, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 187329, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 270973, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 197332, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 46, United-States, >50K -21, ?, 175166, Some-college, 10, Never-married, ?, Own-child, White, Female, 2176, 0, 40, United-States, <=50K -45, Local-gov, 160187, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 197918, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -74, Private, 192290, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 20, United-States, <=50K -29, Private, 241895, HS-grad, 9, Married-civ-spouse, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 164515, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 147206, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 45, United-States, >50K -23, Self-emp-inc, 306868, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Local-gov, 169837, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -61, ?, 124648, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 185057, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, >50K -23, Private, 240049, Preschool, 1, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K -18, Private, 164441, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -38, Private, 179314, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 319854, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 4650, 0, 35, United-States, <=50K -19, Self-emp-inc, 148955, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, South, <=50K -23, Private, 32950, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 4101, 0, 40, United-States, <=50K -37, Private, 206699, HS-grad, 9, Divorced, Tech-support, Own-child, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 385646, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 31438, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 43, ?, <=50K -45, Private, 168598, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3103, 0, 40, United-States, >50K -32, Private, 97306, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -65, ?, 106910, 11th, 7, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K -18, Self-emp-not-inc, 29582, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 220284, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -29, Private, 110226, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 65, ?, <=50K -53, Private, 240914, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 115496, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -27, Private, 105817, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -24, State-gov, 330836, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 36327, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 33423, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -45, Private, 75673, Assoc-voc, 11, Widowed, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -36, Private, 185744, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 35, United-States, >50K -36, Private, 186035, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -44, Local-gov, 196456, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1669, 40, United-States, <=50K -24, Private, 111450, HS-grad, 9, Never-married, Transport-moving, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 115289, Some-college, 10, Divorced, Sales, Own-child, White, Male, 0, 1380, 70, United-States, <=50K -50, Private, 74879, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 117312, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K -58, Private, 272902, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 220230, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 48, United-States, <=50K -24, Private, 90934, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K -52, Self-emp-inc, 234286, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -46, Private, 364548, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -50, Self-emp-inc, 283676, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -34, Private, 195602, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -40, Private, 70761, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 142717, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 124242, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -58, ?, 53481, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K -26, Private, 287797, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 188274, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 171968, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -78, ?, 74795, Assoc-acdm, 12, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -36, Private, 218490, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Germany, >50K -43, Local-gov, 94937, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 28, United-States, <=50K -60, Private, 109511, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 269527, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -50, Self-emp-inc, 201689, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 63, ?, >50K -34, Self-emp-not-inc, 120672, 7th-8th, 4, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 10, United-States, <=50K -46, Private, 130779, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 441542, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -69, Private, 114801, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -32, Private, 180284, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Local-gov, 27444, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -61, Private, 180382, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3411, 0, 45, United-States, <=50K -56, Private, 143266, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 139268, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 126208, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 186191, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 46, United-States, <=50K -51, Private, 197163, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2559, 50, United-States, >50K -44, State-gov, 193524, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K -33, Private, 181388, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 124963, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, >50K -24, Private, 188925, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 149230, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 388725, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 113543, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, ?, 187636, Bachelors, 13, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 267763, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, <=50K -69, Federal-gov, 143849, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -41, Self-emp-not-inc, 97277, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -40, Private, 199303, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 124852, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 50053, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -53, Private, 97005, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, >50K -90, ?, 175444, 7th-8th, 4, Separated, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -39, Private, 337898, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -51, Federal-gov, 124076, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Federal-gov, 277420, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, >50K -51, Private, 280278, 10th, 6, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -17, Private, 241185, 12th, 8, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -42, Private, 202188, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1741, 50, United-States, <=50K -42, Private, 198422, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 82242, Prof-school, 15, Never-married, Prof-specialty, Unmarried, White, Male, 27828, 0, 45, Germany, >50K -33, Private, 178429, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 185866, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, ?, >50K -43, Private, 212847, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -64, Self-emp-not-inc, 219661, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 9, United-States, >50K -40, Private, 321856, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -21, Private, 313873, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 144064, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 139586, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K -32, Private, 419691, 12th, 8, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -66, ?, 212759, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 6767, 0, 20, United-States, <=50K -27, Private, 195562, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -40, Private, 205706, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 131310, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -18, Private, 54440, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -43, Private, 200734, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 81859, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K -31, Private, 159589, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 85, United-States, <=50K -28, Private, 300915, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 185057, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -37, Self-emp-not-inc, 42044, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 84, United-States, <=50K -35, Private, 166416, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 212737, 9th, 5, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 236069, 10th, 6, Never-married, Other-service, Own-child, Black, Male, 0, 0, 10, United-States, <=50K -46, Self-emp-inc, 216414, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 60, United-States, >50K -54, Federal-gov, 27432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 145419, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1672, 50, United-States, <=50K -56, Private, 147202, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, Germany, <=50K -27, Private, 29261, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 359543, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -41, Local-gov, 227644, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 90021, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, <=50K -32, Private, 188154, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 110142, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 186415, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 65, United-States, <=50K -37, Private, 175720, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 172865, 5th-6th, 3, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 25, Mexico, <=50K -46, Private, 35969, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 51, United-States, <=50K -24, Private, 433330, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Self-emp-inc, 160261, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, Taiwan, <=50K -55, Private, 189528, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -64, Local-gov, 113324, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Local-gov, 118500, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 89681, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 99, United-States, <=50K -46, Federal-gov, 199925, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 102308, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -18, Private, 444607, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 176998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, ?, 94559, Bachelors, 13, Married-civ-spouse, ?, Wife, Other, Female, 7688, 0, 50, ?, >50K -34, State-gov, 366198, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Germany, >50K -35, Private, 180686, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 40, United-States, <=50K -26, Private, 108019, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 3325, 0, 40, United-States, <=50K -24, Private, 153542, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -45, Self-emp-not-inc, 210364, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 80, United-States, >50K -36, Private, 185394, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -44, Private, 222703, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Nicaragua, <=50K -23, Private, 183945, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -57, Private, 161964, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -41, Self-emp-not-inc, 375574, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, Mexico, >50K -20, Local-gov, 312427, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 30, Puerto-Rico, <=50K -32, Private, 53373, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K -60, Private, 166330, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 99999, 0, 40, United-States, >50K -38, Self-emp-inc, 124665, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -29, Private, 146719, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -22, Private, 306593, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 156687, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, India, <=50K -40, Local-gov, 153489, HS-grad, 9, Married-civ-spouse, Other-service, Other-relative, White, Male, 3137, 0, 40, United-States, <=50K -59, Private, 231377, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 45, United-States, >50K -45, State-gov, 127089, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -76, Local-gov, 329355, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 13, United-States, <=50K -45, Private, 178319, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Local-gov, 304246, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 70, United-States, <=50K -36, Local-gov, 174640, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 60, United-States, >50K -22, Private, 148294, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -47, Private, 298037, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -26, Private, 98155, HS-grad, 9, Married-AF-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -21, Private, 102766, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 78529, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 136309, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 275357, Assoc-voc, 11, Never-married, Tech-support, Own-child, White, Female, 0, 0, 25, United-States, <=50K -31, Self-emp-not-inc, 33117, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, England, <=50K -57, Local-gov, 199546, Masters, 14, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, Private, 184128, 11th, 7, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 337039, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, Black, Male, 14344, 0, 40, England, >50K -66, Private, 126511, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, Local-gov, 325792, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -80, ?, 91901, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -21, Private, 119474, HS-grad, 9, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 153238, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 32, United-States, >50K -49, Local-gov, 321851, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -48, Self-emp-not-inc, 108557, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 3325, 0, 60, United-States, <=50K -19, State-gov, 67217, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 594, 0, 24, United-States, <=50K -42, Private, 195508, 11th, 7, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -59, Private, 102193, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -63, Private, 20323, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 122206, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 200652, 9th, 5, Divorced, Other-service, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -42, Private, 173590, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1628, 40, United-States, <=50K -19, Private, 184121, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -45, Local-gov, 53123, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K -47, Private, 175990, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, >50K -47, Private, 316101, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 34080, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, England, <=50K -49, Self-emp-not-inc, 219718, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -36, Private, 126954, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 99185, HS-grad, 9, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K -21, ?, 40052, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 2001, 45, United-States, <=50K -39, Private, 120074, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 77336, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 60981, Some-college, 10, Never-married, Sales, Own-child, White, Female, 2176, 0, 35, United-States, <=50K -59, Private, 77884, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -50, Private, 65408, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 173279, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -52, ?, 318351, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 157686, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 277434, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, >50K -54, Local-gov, 184620, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 34443, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -50, Private, 268553, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 40, United-States, >50K -20, ?, 41356, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -43, Private, 459342, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Local-gov, 148549, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 254293, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 45, United-States, <=50K -54, Private, 104501, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -26, Private, 238367, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 180439, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-inc, 100029, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -54, Private, 215990, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 44, United-States, >50K -32, State-gov, 111567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 49, United-States, >50K -46, Private, 319163, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -60, ?, 160155, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K -52, Local-gov, 378045, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -44, Private, 177083, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 119891, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1672, 40, United-States, <=50K -57, Private, 127779, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 299353, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 63861, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 112403, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -49, Private, 83610, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 66, United-States, >50K -28, Private, 452808, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 176871, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 100651, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K -17, Private, 266134, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -54, Local-gov, 196307, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 87891, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 182314, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -55, ?, 136819, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 181666, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Own-child, White, Female, 0, 0, 40, ?, <=50K -37, Private, 179671, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 27494, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 48, United-States, >50K -38, Private, 338320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Canada, <=50K -51, Private, 199688, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 96635, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K -24, Private, 165064, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 109856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -33, Private, 82393, HS-grad, 9, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -31, Private, 209538, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 209891, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -32, Self-emp-not-inc, 56026, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 210844, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -43, Private, 117158, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -40, Private, 193144, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -19, Self-emp-not-inc, 137578, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 53, United-States, <=50K -23, Private, 234108, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 32, United-States, <=50K -40, Private, 155767, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 110820, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, >50K -43, Private, 403276, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 147269, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, ?, <=50K -53, Private, 123092, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 165673, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, Self-emp-inc, 182131, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 10605, 0, 20, United-States, >50K -41, Private, 204415, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, >50K -32, Self-emp-not-inc, 92531, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, State-gov, 157028, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 228649, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 147253, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -33, Private, 160784, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Local-gov, 163189, Some-college, 10, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 146343, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -20, Private, 225811, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 23, United-States, <=50K -68, State-gov, 202699, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2377, 42, ?, >50K -58, Private, 374108, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 93930, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 412248, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 427474, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -67, State-gov, 160158, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 8, United-States, <=50K -26, Private, 159603, Assoc-acdm, 12, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -53, Self-emp-not-inc, 101017, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -27, Local-gov, 163862, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Without-pay, 212588, Some-college, 10, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K -38, State-gov, 321943, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 317702, 9th, 5, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 287480, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 135607, Some-college, 10, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -28, Private, 168514, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 88642, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -28, Private, 227104, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 157289, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 213321, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 294907, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 251411, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 183594, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 189565, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 2174, 0, 50, United-States, <=50K -55, Private, 217802, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 25, United-States, <=50K -20, Private, 388156, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 24, United-States, <=50K -54, Private, 447555, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 204098, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -43, Private, 193882, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -17, ?, 89870, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, State-gov, 49595, Masters, 14, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 72, United-States, <=50K -34, Private, 228873, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -66, ?, 108185, 9th, 5, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 176027, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, ?, 405374, Some-college, 10, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 39606, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 178353, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 160662, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Self-emp-inc, 196328, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K -45, Private, 20534, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K -29, Self-emp-inc, 156815, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 360252, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 245056, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -33, Local-gov, 422718, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 118081, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 3103, 0, 42, United-States, <=50K -25, Private, 262978, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -25, Private, 187577, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -69, ?, 259323, Prof-school, 15, Divorced, ?, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K -37, Private, 160920, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 194247, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -39, Private, 134367, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 24, United-States, >50K -17, Private, 123335, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -27, Local-gov, 332249, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 358124, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 208019, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -39, Private, 318452, 11th, 7, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, Private, 207779, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 238376, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -51, Private, 673764, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -67, State-gov, 239705, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 12, ?, <=50K -40, Private, 133974, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 138285, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -23, Private, 152140, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Local-gov, 287920, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -51, Private, 289572, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -43, State-gov, 78765, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, State-gov, 99076, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 2597, 0, 50, United-States, <=50K -36, Self-emp-not-inc, 224886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2407, 0, 40, United-States, <=50K -58, Private, 206532, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 129529, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Local-gov, 202473, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 162312, HS-grad, 9, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -45, Private, 72844, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -49, Private, 206947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 64112, 12th, 8, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 20057, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 38, Philippines, <=50K -42, State-gov, 222884, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 132683, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -73, ?, 177773, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 15, United-States, <=50K -59, Self-emp-not-inc, 144071, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 2580, 0, 15, El-Salvador, <=50K -28, Private, 148429, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2885, 0, 40, United-States, <=50K -19, Private, 168601, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -31, State-gov, 78291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Federal-gov, 243929, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -21, Private, 215039, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 13, ?, <=50K -47, Self-emp-not-inc, 185673, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Private, 121142, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -41, Private, 173858, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -59, ?, 87247, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, England, <=50K -43, Private, 334991, Some-college, 10, Separated, Transport-moving, Unmarried, White, Male, 4934, 0, 51, United-States, >50K -48, Private, 93476, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 2001, 40, United-States, <=50K -44, Private, 174283, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 128676, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -24, Private, 205844, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 62535, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, <=50K -50, Private, 240612, HS-grad, 9, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -33, Private, 176992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Local-gov, 254127, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 50, United-States, <=50K -30, ?, 138744, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 128460, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 56582, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 10, United-States, <=50K -52, Private, 153751, 9th, 5, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -26, Private, 284343, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, State-gov, 312692, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -28, Private, 111520, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Nicaragua, <=50K -50, Self-emp-inc, 304955, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -28, Private, 288598, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -61, Self-emp-not-inc, 117387, 11th, 7, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -32, Private, 230484, 7th-8th, 4, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -30, Federal-gov, 319280, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 186416, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Local-gov, 147372, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 2444, 40, United-States, >50K -36, Private, 145933, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2258, 70, United-States, <=50K -28, Private, 110164, Some-college, 10, Divorced, Other-service, Other-relative, Black, Male, 0, 0, 24, United-States, <=50K -49, Private, 225454, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -61, Self-emp-not-inc, 220342, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -41, Self-emp-not-inc, 144002, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -55, Private, 225365, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 187983, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 89991, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 225913, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -49, Self-emp-inc, 229737, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 37, United-States, >50K -59, Private, 145574, 11th, 7, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 274363, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, >50K -59, Private, 365390, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 266467, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -42, Private, 183384, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -41, Local-gov, 112797, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -45, Federal-gov, 76008, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 156780, HS-grad, 9, Never-married, Sales, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K -42, Local-gov, 186909, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K -25, Private, 25497, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 102771, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -58, Self-emp-not-inc, 248841, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -39, Private, 30916, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 123270, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Self-emp-not-inc, 210165, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 222596, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -53, Self-emp-inc, 188067, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 119592, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 2824, 40, ?, >50K -27, Private, 250314, 9th, 5, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -60, Private, 205934, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -46, Private, 186172, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K -56, Self-emp-inc, 98418, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 40, United-States, >50K -36, Private, 329980, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K -56, Private, 147653, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -35, ?, 195946, Some-college, 10, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -29, Self-emp-inc, 168221, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 70, United-States, <=50K -19, Private, 151801, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 39, United-States, <=50K -38, Private, 177154, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Federal-gov, 73883, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 175714, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -22, Private, 43535, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -32, State-gov, 104509, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -27, Private, 118230, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 152046, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K -36, Private, 52327, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 40, Iran, >50K -22, Private, 218886, 12th, 8, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 84119, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 189674, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -22, Private, 222993, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 54, United-States, <=50K -29, Private, 47429, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Private, 144995, Preschool, 1, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -45, Private, 187969, Assoc-voc, 11, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -33, Private, 288398, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -39, Private, 114591, Some-college, 10, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 167737, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Local-gov, 248834, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -30, Private, 165686, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Self-emp-not-inc, 40200, Some-college, 10, Widowed, Craft-repair, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -43, Self-emp-inc, 117158, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -47, Local-gov, 216657, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, >50K -61, Private, 124242, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, India, <=50K -39, Local-gov, 239119, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Dominican-Republic, <=50K -47, Private, 190072, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 378114, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 25, United-States, <=50K -37, Private, 236990, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, United-States, <=50K -31, Private, 101761, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 51, United-States, <=50K -69, Self-emp-not-inc, 37745, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K -22, ?, 424494, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -29, Private, 130438, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 100605, Some-college, 10, Never-married, Machine-op-inspct, Own-child, Other, Male, 0, 0, 14, United-States, <=50K -42, Private, 220776, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, Poland, <=50K -30, Local-gov, 154950, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K -28, Private, 192283, Masters, 14, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 80, United-States, >50K -27, Private, 210765, Assoc-voc, 11, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 147476, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, State-gov, 193241, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1651, 40, United-States, <=50K -22, Private, 109053, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 265618, HS-grad, 9, Separated, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 172855, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 1887, 40, United-States, >50K -27, Private, 68848, Bachelors, 13, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 229051, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 37, United-States, <=50K -27, Private, 106039, Bachelors, 13, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K -25, Private, 112835, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, ?, 205396, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -32, Private, 283400, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -70, Private, 195739, 10th, 6, Widowed, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -50, Private, 36480, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 303291, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -34, Private, 293900, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K -57, Self-emp-not-inc, 165922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 65738, Masters, 14, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -49, Private, 175070, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 339814, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 40, United-States, >50K -26, Private, 150132, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -31, Private, 377374, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, Japan, <=50K -60, Self-emp-not-inc, 166153, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 110171, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -26, Private, 94477, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 55, United-States, >50K -27, Private, 194243, Prof-school, 15, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 106347, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -59, Private, 214865, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -19, ?, 185619, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -18, Private, 96445, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -22, Private, 102632, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 209034, Assoc-acdm, 12, Married-civ-spouse, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -53, State-gov, 153486, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 144371, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 42, United-States, >50K -24, Private, 186213, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -60, Private, 188236, 10th, 6, Widowed, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 418405, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Federal-gov, 125796, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 183304, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 99, United-States, >50K -34, Private, 329587, 10th, 6, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -35, Local-gov, 182570, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 446654, 9th, 5, Married-spouse-absent, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -34, Self-emp-not-inc, 254304, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4508, 0, 90, United-States, <=50K -53, Local-gov, 131258, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -23, Private, 103632, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 241895, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 244945, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 20795, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -17, Private, 347322, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -53, Local-gov, 103995, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 54, United-States, <=50K -32, Private, 53206, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -43, ?, 387839, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 57108, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K -62, Private, 177791, 10th, 6, Divorced, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 33794, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 249935, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K -73, Self-emp-not-inc, 241121, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 98586, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 181920, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -23, Private, 434467, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -30, Private, 113364, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Vietnam, <=50K -51, Private, 249706, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 95455, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -39, Private, 209867, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 13550, 0, 45, United-States, >50K -35, Self-emp-inc, 79586, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -41, Private, 289669, HS-grad, 9, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 347166, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 4650, 0, 40, United-States, <=50K -40, Private, 53835, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Local-gov, 14878, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -31, Private, 266126, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -41, Self-emp-inc, 146659, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Honduras, <=50K -42, Private, 125280, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K -23, Private, 173535, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 77665, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -49, Private, 280525, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -53, Private, 479621, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 194630, Bachelors, 13, Never-married, Protective-serv, Not-in-family, White, Female, 4787, 0, 43, United-States, >50K -36, Private, 247600, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Taiwan, <=50K -32, Private, 258406, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 72, Mexico, <=50K -20, Private, 107746, 11th, 7, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, Guatemala, <=50K -17, ?, 47407, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 10, United-States, <=50K -22, Private, 229987, Some-college, 10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Female, 0, 0, 32, United-States, <=50K -25, Private, 312338, Assoc-voc, 11, Never-married, Craft-repair, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -58, Private, 225394, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, <=50K -24, Private, 373718, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -48, State-gov, 120131, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 8614, 0, 40, United-States, >50K -20, Private, 472789, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, El-Salvador, <=50K -60, Self-emp-not-inc, 27886, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 138352, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -52, Private, 123011, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -36, Private, 306567, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Local-gov, 187749, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -22, Private, 260594, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -19, Private, 236879, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K -37, Private, 186808, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 373213, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -44, Private, 187629, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -63, ?, 106648, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -22, Private, 305781, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, Canada, <=50K -31, Self-emp-inc, 256362, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3908, 0, 50, United-States, <=50K -17, Private, 239947, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 349041, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 105252, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 182715, 7th-8th, 4, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 166210, HS-grad, 9, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 113200, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 6, United-States, <=50K -27, Private, 142075, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 24, United-States, <=50K -35, Private, 454843, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 142219, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 112512, 12th, 8, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -43, Private, 212894, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -62, State-gov, 265201, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 251905, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 2339, 40, Canada, <=50K -18, Private, 170627, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -59, Private, 354037, Prof-school, 15, Married-civ-spouse, Transport-moving, Husband, Black, Male, 15024, 0, 50, United-States, >50K -37, Private, 259089, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 21856, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 207946, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -29, Private, 77009, 11th, 7, Separated, Sales, Not-in-family, White, Female, 0, 2754, 42, United-States, <=50K -33, Private, 36539, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -62, Private, 176811, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 456062, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 55, United-States, >50K -28, Private, 277746, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 288132, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -46, Federal-gov, 344415, Masters, 14, Married-civ-spouse, Armed-Forces, Husband, White, Male, 0, 1887, 40, United-States, >50K -54, Self-emp-inc, 206964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 40, United-States, >50K -34, Private, 198091, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, <=50K -67, ?, 150264, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, Canada, >50K -62, Private, 588484, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K -30, Private, 113364, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Poland, <=50K -19, Private, 270551, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, ?, 31478, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 99, United-States, <=50K -27, Private, 190525, Assoc-voc, 11, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 153066, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 150393, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 99911, 12th, 8, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -57, Local-gov, 343447, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -64, Private, 169482, Some-college, 10, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, ?, 32855, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 194501, 11th, 7, Widowed, Other-service, Own-child, White, Female, 0, 0, 47, United-States, <=50K -53, Private, 177705, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -31, Private, 123983, Some-college, 10, Separated, Sales, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -41, Private, 138975, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 45, United-States, >50K -45, Local-gov, 235431, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -63, ?, 83043, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2179, 45, United-States, <=50K -45, State-gov, 130206, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 210053, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -39, Local-gov, 249392, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, <=50K -31, Private, 87418, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 190387, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -54, Private, 176240, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 7688, 0, 60, United-States, >50K -22, ?, 211013, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -40, Local-gov, 105862, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 5455, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 185195, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 173495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-inc, 78634, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 147284, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 99, United-States, >50K -46, Self-emp-not-inc, 82572, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 154641, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Local-gov, 39236, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 594, 0, 25, United-States, <=50K -17, ?, 64785, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -48, Self-emp-not-inc, 179337, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, England, <=50K -73, Private, 173047, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 15, United-States, <=50K -25, Private, 264012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -53, Federal-gov, 227836, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 321327, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 45, United-States, >50K -45, Self-emp-inc, 108100, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 99999, 0, 25, ?, >50K -37, Private, 146398, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 324120, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 367329, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, State-gov, 301582, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -75, ?, 222789, Bachelors, 13, Widowed, ?, Not-in-family, White, Female, 0, 0, 6, United-States, <=50K -58, Private, 170108, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Self-emp-not-inc, 82297, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 50, United-States, <=50K -62, Local-gov, 180162, 9th, 5, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 24, United-States, <=50K -45, Local-gov, 348172, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, United-States, >50K -38, Private, 809585, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-not-inc, 67728, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -70, ?, 163057, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2009, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 102069, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Local-gov, 149700, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K -42, Self-emp-not-inc, 109273, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 393354, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 38, United-States, >50K -37, Private, 226947, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, State-gov, 86805, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7298, 0, 39, United-States, >50K -27, Private, 493689, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, France, <=50K -54, Private, 299324, 5th-6th, 3, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, Mexico, <=50K -48, Self-emp-not-inc, 353012, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -29, Private, 174419, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -29, Private, 209472, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 38, United-States, <=50K -37, Private, 295127, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -55, Self-emp-inc, 182273, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Private, 228200, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Wife, Black, Female, 0, 0, 20, United-States, <=50K -51, Private, 263836, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 178948, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -41, Private, 43945, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -64, Self-emp-not-inc, 253296, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 240137, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K -49, Private, 24712, Bachelors, 13, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Philippines, <=50K -38, Self-emp-not-inc, 342635, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K -62, Private, 115387, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 182998, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 10, United-States, <=50K -70, ?, 133248, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 14, United-States, <=50K -45, Self-emp-not-inc, 246891, Masters, 14, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 30035, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 175232, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -50, Self-emp-inc, 140516, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 64980, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 55, United-States, >50K -30, Private, 155781, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -52, Federal-gov, 192065, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 227890, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 50, United-States, >50K -62, Self-emp-not-inc, 162249, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -31, Private, 165949, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 445382, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Private, 211948, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 1590, 40, United-States, <=50K -53, Private, 163678, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 89413, 12th, 8, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 289700, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, United-States, <=50K -51, Private, 163826, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 185385, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Private, 169031, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 54611, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 130620, 11th, 7, Married-spouse-absent, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, India, <=50K -26, Private, 328663, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 40, United-States, <=50K -50, Private, 169646, Bachelors, 13, Separated, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -35, Private, 186815, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 103925, Some-college, 10, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -53, ?, 150393, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 1504, 35, United-States, <=50K -20, Private, 82777, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 16, United-States, <=50K -31, Local-gov, 178449, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 51672, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -46, Private, 380162, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K -21, Private, 212114, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 8, United-States, <=50K -41, Self-emp-not-inc, 100800, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 70, United-States, >50K -30, Private, 162572, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -66, Self-emp-inc, 179951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -37, Self-emp-inc, 190759, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -74, State-gov, 236012, 7th-8th, 4, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -46, State-gov, 164023, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 70, United-States, >50K -51, Private, 172046, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -33, Private, 182926, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -30, Private, 151001, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, Mexico, <=50K -47, Self-emp-inc, 362835, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 97883, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 91911, HS-grad, 9, Divorced, Craft-repair, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -24, Private, 278130, Assoc-voc, 11, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 146310, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 379412, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 37987, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Self-emp-inc, 256909, HS-grad, 9, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 3325, 0, 45, United-States, <=50K -37, State-gov, 482927, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -48, State-gov, 44434, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 61, United-States, >50K -25, Private, 255474, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, ?, 303674, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 3103, 0, 20, United-States, <=50K -44, ?, 195488, 12th, 8, Separated, ?, Not-in-family, White, Female, 0, 0, 36, Puerto-Rico, <=50K -58, ?, 114362, Some-college, 10, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 30, United-States, <=50K -27, Private, 341504, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -69, Private, 197080, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Male, 0, 0, 8, United-States, <=50K -38, Private, 102945, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -47, Private, 503454, 12th, 8, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 87561, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -46, Private, 270693, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 3674, 0, 30, United-States, <=50K -27, Private, 252813, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -19, Private, 574271, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -18, Private, 184016, HS-grad, 9, Married-civ-spouse, Priv-house-serv, Not-in-family, White, Female, 3103, 0, 40, United-States, <=50K -24, Private, 235071, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -32, Private, 158242, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 299810, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 277695, Preschool, 1, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Hong, <=50K -28, Private, 23324, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 316582, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -38, Self-emp-not-inc, 176657, Some-college, 10, Separated, Sales, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K -42, Private, 93770, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Private, 124569, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -46, Private, 117313, 9th, 5, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Ireland, <=50K -53, Private, 53812, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 54, United-States, <=50K -21, Private, 170456, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -48, Self-emp-not-inc, 115971, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 31432, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3103, 0, 52, United-States, >50K -30, Private, 112383, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 283092, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Male, 0, 0, 40, Jamaica, <=50K -32, Private, 27207, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 46712, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, State-gov, 19520, Doctorate, 16, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -56, Private, 98630, 7th-8th, 4, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 159897, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -38, Private, 136629, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Iran, <=50K -19, Private, 407759, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 221884, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 148475, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 274964, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -50, Self-emp-inc, 160107, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -43, Private, 167265, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, >50K -34, Private, 148226, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -28, Private, 153869, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 208881, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 256953, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 44, United-States, <=50K -26, Private, 100147, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K -51, Local-gov, 166461, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K -35, Private, 171327, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 297335, Assoc-acdm, 12, Married-spouse-absent, Exec-managerial, Unmarried, Asian-Pac-Islander, Female, 0, 0, 31, Laos, <=50K -63, ?, 133166, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, <=50K -31, Private, 169589, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -22, Local-gov, 273734, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -67, Private, 158301, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -50, ?, 257117, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -63, Private, 196725, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -31, Private, 137444, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 286960, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 201435, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -53, Local-gov, 216931, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 38, United-States, <=50K -44, Local-gov, 212665, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 99, United-States, <=50K -24, Private, 462820, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 198841, Assoc-voc, 11, Divorced, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K -61, Private, 219886, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Private, 163003, Assoc-acdm, 12, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -44, Private, 112262, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 5178, 0, 40, United-States, >50K -56, Private, 213105, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 36, United-States, >50K -66, Private, 302072, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 338105, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -69, Self-emp-not-inc, 58213, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 45, United-States, >50K -64, Private, 125684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 215419, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 36, United-States, >50K -43, Local-gov, 413760, Some-college, 10, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -37, Private, 205339, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K -19, Private, 236570, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 16, United-States, <=50K -59, Self-emp-not-inc, 247552, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Federal-gov, 184007, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 341187, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -56, Private, 220187, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 198258, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 175821, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 34, United-States, <=50K -42, Private, 92288, Masters, 14, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -34, Private, 261418, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 203319, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -68, Self-emp-not-inc, 166083, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 109001, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -81, ?, 106765, Some-college, 10, Widowed, ?, Unmarried, White, Female, 0, 0, 4, United-States, <=50K -22, Self-emp-not-inc, 197387, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 284834, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 87535, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -17, Local-gov, 175587, 11th, 7, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K -25, Private, 242700, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 10520, 0, 50, United-States, >50K -23, Private, 161478, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 23, United-States, <=50K -25, Private, 51498, 12th, 8, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 220124, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 188503, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 60, United-States, >50K -44, Private, 113324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 208872, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Self-emp-not-inc, 34180, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 292023, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 141118, Bachelors, 13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 348592, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -38, Private, 185203, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -52, Self-emp-not-inc, 165278, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 116933, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -38, Private, 237608, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 2444, 45, United-States, >50K -35, Private, 84787, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, Self-emp-not-inc, 217892, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 10605, 0, 35, United-States, >50K -60, Private, 325971, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 40, United-States, >50K -44, Private, 206878, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 15, United-States, <=50K -38, Self-emp-not-inc, 127772, HS-grad, 9, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 208577, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Private, 344152, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5556, 0, 50, United-States, >50K -33, Private, 40681, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, ?, 95108, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 280603, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -43, Private, 188436, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 134220, Assoc-voc, 11, Divorced, Exec-managerial, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -42, Private, 177989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 164190, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K -36, Private, 90897, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, State-gov, 33126, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 270886, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 216129, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -33, Private, 189368, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, ?, 141418, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K -19, Private, 306225, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -35, Private, 330664, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 191765, HS-grad, 9, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -45, Private, 289353, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 24, United-States, <=50K -25, Private, 53147, Bachelors, 13, Never-married, Exec-managerial, Own-child, Black, Male, 0, 0, 50, United-States, <=50K -39, Self-emp-not-inc, 122353, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 188767, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 239576, Masters, 14, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K -52, Local-gov, 155141, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -22, Private, 64520, 12th, 8, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -23, Private, 478994, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 155654, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 124052, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, <=50K -39, Private, 245053, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 183585, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 323639, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K -55, Federal-gov, 186791, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 284303, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 40, United-States, >50K -23, Private, 186666, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 200153, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 180931, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 30, United-States, <=50K -51, Self-emp-not-inc, 183173, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Self-emp-inc, 120131, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Cuba, >50K -25, Self-emp-not-inc, 263300, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 226443, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -18, Private, 404868, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 1602, 20, United-States, <=50K -19, Private, 208506, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 28, United-States, <=50K -32, Private, 46746, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 246183, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -40, ?, 165309, 7th-8th, 4, Separated, ?, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -43, Private, 122749, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -71, Self-emp-inc, 38822, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -59, Private, 167963, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 273241, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -25, Private, 120238, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 167990, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Ireland, <=50K -17, Private, 225507, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K -57, Self-emp-inc, 125000, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -17, Self-emp-not-inc, 174120, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -27, Private, 230959, Bachelors, 13, Never-married, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -41, Local-gov, 132125, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 68461, Doctorate, 16, Married-civ-spouse, ?, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -19, Private, 227178, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -41, Private, 165798, 5th-6th, 3, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, Puerto-Rico, <=50K -39, Private, 129573, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -30, Private, 224377, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 179481, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 434268, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -40, Self-emp-not-inc, 173716, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -38, Self-emp-inc, 244803, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 60, Cuba, >50K -24, Private, 114230, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 188661, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 216093, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 124963, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 85341, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 193490, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, Private, 80058, Prof-school, 15, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 139907, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -51, Self-emp-inc, 54342, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Male, 27828, 0, 60, United-States, >50K -25, Private, 188767, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 117222, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K -61, Self-emp-inc, 171831, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 2829, 0, 45, United-States, <=50K -35, Private, 187119, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -42, Local-gov, 97277, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Local-gov, 219760, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 16, United-States, <=50K -46, Private, 63299, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, State-gov, 171482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -18, ?, 344742, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 210869, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 80, United-States, <=50K -39, Private, 38312, Some-college, 10, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, >50K -47, Private, 119939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 83953, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -43, State-gov, 101383, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 204374, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 176831, 10th, 6, Divorced, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -19, ?, 60688, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 35, United-States, <=50K -44, Federal-gov, 251305, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Local-gov, 200947, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Self-emp-not-inc, 46704, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Private, 119721, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, State-gov, 58930, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 247750, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 67725, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -28, State-gov, 200775, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 183542, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -20, ?, 25139, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 123325, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 269786, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 51089, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 136985, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -21, Private, 129350, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, ?, 35595, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -36, Local-gov, 61299, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, ?, 192321, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 80, United-States, <=50K -31, Private, 257644, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -44, Self-emp-not-inc, 70884, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -49, Local-gov, 159726, 11th, 7, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 174395, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Federal-gov, 175534, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K -54, Local-gov, 173050, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -27, Private, 32519, Some-college, 10, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 55, South, <=50K -18, Private, 322999, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -68, Private, 148874, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 44, United-States, <=50K -64, Private, 43738, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, >50K -36, Private, 195385, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -21, Private, 149809, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K -22, Private, 51985, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K -61, Private, 105384, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 137591, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 10, Greece, <=50K -49, State-gov, 324791, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 184303, Some-college, 10, Separated, Priv-house-serv, Other-relative, White, Female, 0, 0, 30, El-Salvador, <=50K -66, ?, 314347, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 274010, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 321031, HS-grad, 9, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -57, Federal-gov, 313929, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -41, Private, 394669, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K -29, Private, 152951, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 247115, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -47, Private, 175958, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -22, Private, 109039, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -59, Self-emp-inc, 141326, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -42, State-gov, 74334, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -64, Self-emp-not-inc, 47462, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -29, Federal-gov, 182344, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -25, State-gov, 295912, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -62, Private, 311495, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 236746, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K -21, Private, 187643, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 282923, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -46, Private, 501671, 10th, 6, Divorced, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -44, Federal-gov, 29591, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 2258, 40, United-States, >50K -21, Private, 301556, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K -18, Private, 187240, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 18, United-States, <=50K -39, Private, 219483, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 5013, 0, 32, United-States, <=50K -33, Private, 594187, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -63, Private, 200474, 1st-4th, 2, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 152795, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 52, United-States, >50K -17, Private, 230789, 9th, 5, Never-married, Sales, Own-child, Black, Male, 0, 0, 22, United-States, <=50K -45, Self-emp-inc, 311231, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1485, 50, United-States, >50K -31, Private, 114691, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 194591, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 114691, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -51, State-gov, 42017, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Local-gov, 383384, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 29444, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -42, Federal-gov, 53727, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, ?, <=50K -38, Private, 277022, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K -43, Local-gov, 113324, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 342709, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 179203, 12th, 8, Never-married, Sales, Other-relative, White, Male, 0, 0, 55, United-States, <=50K -46, Private, 251474, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -50, Private, 93730, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 37894, HS-grad, 9, Separated, Other-service, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -18, State-gov, 272918, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 15, United-States, <=50K -53, Private, 151411, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -40, Private, 210648, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 44, United-States, >50K -36, Self-emp-not-inc, 347491, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -32, Private, 255885, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, >50K -39, Private, 356838, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K -46, Private, 216164, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Local-gov, 288781, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -19, Private, 439779, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -24, Private, 161638, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Ecuador, <=50K -28, Private, 190525, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 276249, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 147265, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 245090, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Nicaragua, <=50K -42, State-gov, 219682, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 392100, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 358682, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Male, 0, 0, 50, ?, <=50K -47, Private, 262244, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 60, United-States, >50K -46, Private, 171228, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3411, 0, 35, Guatemala, <=50K -21, Local-gov, 218445, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -19, ?, 182609, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -35, Private, 509462, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -26, Private, 213258, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 118401, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -67, Self-emp-not-inc, 45814, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 329733, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, >50K -26, Private, 29957, Masters, 14, Never-married, Tech-support, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -51, Private, 215854, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -27, Private, 327766, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 405765, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, >50K -39, Private, 80680, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 177792, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, >50K -52, Private, 273514, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 202373, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 332785, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 38, United-States, <=50K -46, Private, 149640, 7th-8th, 4, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 40151, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -79, Self-emp-inc, 183686, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K -50, Federal-gov, 32801, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, >50K -19, ?, 195282, HS-grad, 9, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -43, Federal-gov, 134026, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 2174, 0, 40, United-States, <=50K -51, Local-gov, 96678, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 174533, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K -65, Private, 180807, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 991, 0, 20, United-States, <=50K -66, Private, 186324, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, >50K -36, Self-emp-not-inc, 257250, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K -26, Private, 212800, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 36, United-States, <=50K -28, Private, 55360, Some-college, 10, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 50, United-States, <=50K -39, Self-emp-not-inc, 195253, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Private, 45156, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 435469, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -29, Private, 231287, Some-college, 10, Divorced, Tech-support, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 168854, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 50, United-States, >50K -44, Self-emp-not-inc, 185057, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K -18, ?, 91670, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -60, Private, 165517, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 73161, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 178792, HS-grad, 9, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 32897, 11th, 7, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 41901, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1408, 40, United-States, <=50K -49, Private, 379779, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Private, 217838, 5th-6th, 3, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -37, Self-emp-not-inc, 137527, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 2559, 60, United-States, >50K -43, Private, 198965, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 38, United-States, >50K -41, Private, 70645, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 4650, 0, 55, United-States, <=50K -37, Private, 220644, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -19, Private, 175081, 9th, 5, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -29, Private, 180299, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -40, Self-emp-not-inc, 548664, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K -53, Private, 278114, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 394927, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -44, Self-emp-not-inc, 127482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, England, >50K -29, Private, 236938, Assoc-acdm, 12, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -25, Private, 232991, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -38, Private, 34378, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -48, Self-emp-inc, 81513, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -18, Private, 106780, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -50, Private, 178596, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 1408, 50, United-States, <=50K -37, Private, 329026, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -48, Private, 26490, Bachelors, 13, Widowed, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -50, Private, 338033, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -74, ?, 169303, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 6767, 0, 6, United-States, <=50K -24, Private, 21154, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -34, Private, 209449, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, Private, 389143, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 101260, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 198270, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 45781, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 134566, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 283806, 9th, 5, Divorced, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -68, ?, 286869, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 1668, 40, ?, <=50K -46, Private, 422813, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Local-gov, 103277, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 50, United-States, <=50K -18, Private, 201871, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -50, Self-emp-not-inc, 167728, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -42, Private, 211517, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 118212, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 259846, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 3471, 0, 40, United-States, <=50K -57, Private, 98926, Some-college, 10, Widowed, Tech-support, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -27, Private, 207352, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -31, Private, 206609, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 104509, Masters, 14, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 170350, HS-grad, 9, Divorced, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 183884, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 110964, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1672, 38, United-States, <=50K -35, State-gov, 154410, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -63, ?, 257659, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 3, United-States, <=50K -28, Private, 274679, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 252662, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-inc, 356689, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -18, Private, 205218, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -35, Private, 241306, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 139127, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 175625, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 206459, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 176123, 10th, 6, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, India, <=50K -41, Private, 111483, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 106118, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, >50K -18, Private, 77845, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 1602, 15, United-States, <=50K -19, Private, 162094, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 216469, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1579, 50, United-States, <=50K -56, Local-gov, 381965, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -28, Private, 145284, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -29, Private, 242482, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -35, Self-emp-not-inc, 160192, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, ?, 280699, Some-college, 10, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 175942, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 55, ?, >50K -18, Private, 156950, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -53, Private, 215572, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 173593, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 20, Canada, <=50K -55, Private, 193374, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Local-gov, 334039, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 337664, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 113504, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 177072, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 174503, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 214807, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -41, Private, 222596, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K -23, Private, 100345, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -22, Private, 409230, 12th, 8, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 112497, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 25236, 0, 40, United-States, >50K -65, Self-emp-inc, 115922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -59, ?, 375049, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 41, United-States, >50K -25, Private, 243560, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, Columbia, <=50K -33, Local-gov, 182971, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K -31, Private, 127215, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, State-gov, 276241, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -49, State-gov, 175109, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -43, Private, 498079, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Federal-gov, 344394, Some-college, 10, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 99872, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 3103, 0, 40, India, >50K -23, Private, 245302, Some-college, 10, Divorced, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -63, Private, 43313, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 188467, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-inc, 351278, Bachelors, 13, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 182246, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 79870, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Female, 2597, 0, 40, Japan, <=50K -48, ?, 353824, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, ?, >50K -31, Private, 387116, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 36, Jamaica, <=50K -47, Private, 34248, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -54, State-gov, 198741, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 32950, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 381153, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 100067, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, >50K -34, Private, 208785, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -31, Private, 61559, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 176452, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Peru, <=50K -41, ?, 128700, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 328518, Assoc-voc, 11, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -30, ?, 201196, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 378546, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Local-gov, 212210, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, ?, <=50K -59, Federal-gov, 178660, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 235826, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 22641, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -59, Private, 316027, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, Cuba, <=50K -47, Private, 431515, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 149770, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -42, Private, 165916, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -29, Federal-gov, 107411, Some-college, 10, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 217961, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 45, Outlying-US(Guam-USVI-etc), <=50K -43, Self-emp-not-inc, 350387, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -46, Private, 325372, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 156718, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 216472, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 20, United-States, <=50K -29, State-gov, 106972, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -33, Private, 131934, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -33, Local-gov, 365908, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 2105, 0, 40, United-States, <=50K -46, Local-gov, 359193, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -35, Private, 261012, Some-college, 10, Married-spouse-absent, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 272944, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -25, Private, 113654, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -35, Private, 218955, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 115963, 7th-8th, 4, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 42, United-States, <=50K -39, Private, 80638, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 84, United-States, >50K -37, Private, 147258, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -22, Private, 214635, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -25, Private, 200318, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -50, Private, 138270, HS-grad, 9, Married-civ-spouse, Sales, Wife, Black, Female, 0, 0, 40, United-States, <=50K -64, Federal-gov, 388594, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, ?, >50K -33, Private, 103435, Assoc-voc, 11, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -59, Self-emp-inc, 133201, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Italy, <=50K -24, Private, 175183, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 99870, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -38, ?, 107479, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K -60, Private, 113440, Bachelors, 13, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 85690, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -23, Private, 45713, Some-college, 10, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-inc, 376230, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 40, United-States, >50K -36, Private, 145576, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1977, 40, Japan, >50K -17, ?, 67808, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 113936, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 158291, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 193898, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Private, 191982, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 55, United-States, <=50K -21, ?, 72953, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 271160, Assoc-voc, 11, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 33087, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -29, Private, 106153, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 29444, 12th, 8, Never-married, Farming-fishing, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K -37, Private, 105021, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Self-emp-not-inc, 239045, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -34, Private, 94413, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 20534, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 84, United-States, >50K -28, Private, 350254, 1st-4th, 2, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -68, Private, 194746, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Cuba, <=50K -36, Private, 269042, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K -20, Private, 447488, 9th, 5, Never-married, Other-service, Unmarried, White, Male, 0, 0, 30, Mexico, <=50K -24, Private, 267706, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 45, United-States, <=50K -38, Private, 198216, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 227931, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 252646, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K -47, Private, 223342, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 2174, 0, 40, England, <=50K -28, Private, 181776, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -32, Private, 132601, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 205410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Self-emp-inc, 185912, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 35, United-States, >50K -38, Private, 292570, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 50, United-States, <=50K -43, Private, 76460, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 295163, 12th, 8, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 27255, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, ?, <=50K -23, Private, 69847, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -25, Private, 104993, 9th, 5, Never-married, Handlers-cleaners, Own-child, Black, Male, 2907, 0, 40, United-States, <=50K -41, Private, 322980, HS-grad, 9, Separated, Adm-clerical, Not-in-family, Black, Male, 2354, 0, 40, United-States, <=50K -24, ?, 390608, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -41, Private, 317539, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 195678, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 466502, 7th-8th, 4, Widowed, Other-service, Unmarried, White, Male, 0, 0, 30, United-States, <=50K -28, Local-gov, 220754, HS-grad, 9, Separated, Transport-moving, Own-child, White, Female, 0, 0, 25, United-States, <=50K -29, Private, 202878, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 2042, 40, United-States, <=50K -36, Private, 343476, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -41, Self-emp-inc, 93227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 1977, 60, Taiwan, >50K -60, Self-emp-not-inc, 38622, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, State-gov, 173730, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K -32, Private, 178623, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, ?, <=50K -27, Private, 300783, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 42, United-States, >50K -60, Private, 224644, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 191502, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 61885, 12th, 8, Divorced, Transport-moving, Other-relative, Black, Male, 0, 0, 35, United-States, <=50K -34, Self-emp-not-inc, 213887, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, Canada, >50K -36, Private, 331395, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 145098, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 123075, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 216804, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 33, United-States, <=50K -40, Private, 188291, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 33610, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 234901, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 349148, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 168443, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -43, Private, 211860, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 24, United-States, <=50K -35, Private, 193961, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -36, Local-gov, 52532, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K -59, Self-emp-not-inc, 75804, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, >50K -33, Self-emp-not-inc, 176185, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 306779, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 265192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -54, Private, 139347, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 107682, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -37, Private, 34173, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 128378, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-inc, 195638, Some-college, 10, Separated, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 59287, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 162442, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -29, ?, 350603, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 38, United-States, <=50K -39, Private, 344743, Some-college, 10, Married-civ-spouse, Adm-clerical, Own-child, Black, Female, 0, 0, 50, United-States, >50K -35, Private, 112077, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 40, United-States, <=50K -26, Private, 176795, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, >50K -51, Private, 137815, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -31, Private, 309620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 6, South, <=50K -39, Private, 336880, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 206600, 11th, 7, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, Mexico, <=50K -25, Private, 193051, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 35, United-States, <=50K -61, Federal-gov, 229062, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1887, 40, United-States, >50K -49, Private, 62793, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 264939, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, Mexico, <=50K -52, Private, 370552, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -52, Private, 163678, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -74, ?, 89667, Bachelors, 13, Widowed, ?, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K -50, Private, 558490, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 124680, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 13550, 0, 35, United-States, >50K -76, Private, 208843, 7th-8th, 4, Widowed, Protective-serv, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 95078, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -25, Private, 169679, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 101320, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 168906, Assoc-acdm, 12, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 212582, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -66, ?, 170617, Masters, 14, Widowed, ?, Not-in-family, White, Male, 0, 0, 6, United-States, <=50K -63, ?, 170529, Bachelors, 13, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 45, United-States, <=50K -27, Private, 99897, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 104892, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2829, 0, 40, United-States, <=50K -43, Private, 175224, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, Nicaragua, <=50K -23, Private, 149704, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Federal-gov, 214542, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 167319, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 43716, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 4, United-States, <=50K -28, Private, 191935, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -70, ?, 158642, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 2993, 0, 20, United-States, <=50K -35, Private, 338611, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 136419, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 75, United-States, >50K -17, Private, 72321, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 12, United-States, <=50K -41, Local-gov, 189956, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, >50K -44, Private, 403782, Assoc-voc, 11, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -47, Private, 456661, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -24, Private, 279041, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 65716, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 189809, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 52, Jamaica, <=50K -62, Local-gov, 223637, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -27, Local-gov, 199343, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, <=50K -59, Private, 139344, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -35, Private, 119098, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 195025, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -28, Private, 186720, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 328923, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 38, United-States, <=50K -59, State-gov, 159472, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 138662, Some-college, 10, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -54, Local-gov, 286342, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, >50K -39, Private, 181705, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -41, Private, 193882, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 216497, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -32, Self-emp-inc, 124919, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Iran, >50K -62, Private, 109463, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 1617, 33, United-States, <=50K -58, Private, 256274, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 326379, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 174995, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 2457, 40, United-States, <=50K -31, Private, 243142, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Local-gov, 155118, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 70, United-States, >50K -54, Private, 189607, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 36, United-States, <=50K -20, Private, 39478, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -35, Private, 206951, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 127647, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 36, United-States, <=50K -38, Private, 234298, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 6849, 0, 60, United-States, <=50K -42, Private, 182302, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, State-gov, 166597, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Self-emp-not-inc, 33363, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K -74, Self-emp-inc, 167537, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -34, Private, 179378, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, <=50K -50, State-gov, 297551, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 52, United-States, <=50K -50, Private, 198362, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 240504, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 169662, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, ?, 164940, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -61, Private, 210488, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -21, Private, 154835, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -27, Private, 333296, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, ?, <=50K -47, Private, 192793, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Iran, >50K -39, Private, 49436, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K -33, Private, 136331, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 509048, HS-grad, 9, Never-married, Sales, Other-relative, Black, Female, 0, 0, 37, United-States, <=50K -38, Private, 318610, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 104521, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 247695, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Private, 219546, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Germany, <=50K -21, Private, 169699, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -49, State-gov, 131302, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 44, United-States, <=50K -50, Private, 171852, Bachelors, 13, Separated, Prof-specialty, Own-child, Other, Female, 0, 0, 40, United-States, <=50K -36, State-gov, 340091, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, >50K -20, Private, 204641, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -49, Private, 213431, HS-grad, 9, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -40, State-gov, 377018, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -22, Private, 184543, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -60, ?, 188236, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, Private, 233022, 11th, 7, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -21, Private, 177420, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 21101, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K -17, Private, 52486, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -43, Private, 183273, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 32, United-States, >50K -49, State-gov, 36177, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -41, Private, 124956, Bachelors, 13, Separated, Prof-specialty, Not-in-family, Black, Female, 99999, 0, 60, United-States, >50K -38, Private, 102350, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 165930, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 297574, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K -40, Private, 120277, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, ?, 87569, Some-college, 10, Separated, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, ?, 278220, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 1602, 40, United-States, <=50K -40, Private, 155972, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -46, State-gov, 162852, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 64860, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 22, United-States, <=50K -36, Private, 226013, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 5178, 0, 40, United-States, >50K -24, Private, 322674, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -62, Private, 202242, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -54, Private, 175262, Preschool, 1, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -23, Private, 201682, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 166330, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -18, Self-emp-inc, 147612, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Female, 0, 0, 8, United-States, <=50K -41, Local-gov, 213154, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 40, United-States, <=50K -45, Local-gov, 33798, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, State-gov, 199198, Assoc-voc, 11, Widowed, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 90915, Bachelors, 13, Married-spouse-absent, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 337778, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Yugoslavia, >50K -31, Private, 187203, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 261497, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K -33, Self-emp-not-inc, 361817, HS-grad, 9, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -62, Self-emp-not-inc, 226546, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 16, United-States, <=50K -27, Private, 100168, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -42, Federal-gov, 272625, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, >50K -55, Private, 254516, 9th, 5, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 37, United-States, <=50K -41, Private, 207375, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -26, Private, 39092, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4064, 0, 50, United-States, <=50K -45, Private, 48271, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -67, Self-emp-not-inc, 152102, HS-grad, 9, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -25, Private, 234665, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Self-emp-inc, 127651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 48, United-States, >50K -22, Private, 180060, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 32477, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 137658, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -61, Private, 228287, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 159442, Prof-school, 15, Never-married, Sales, Not-in-family, White, Female, 13550, 0, 50, United-States, >50K -43, Private, 33310, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 270546, HS-grad, 9, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -53, Federal-gov, 290290, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -42, Self-emp-inc, 287037, 12th, 8, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -36, Private, 128516, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 185195, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, <=50K -35, Federal-gov, 49657, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -17, Private, 98005, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -55, Self-emp-not-inc, 283635, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -36, Private, 98360, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Local-gov, 202872, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -54, Self-emp-not-inc, 118365, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 10, United-States, <=50K -45, Self-emp-not-inc, 184285, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -48, Private, 345831, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Local-gov, 99679, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -31, Private, 253354, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 190650, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K -34, Private, 287737, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1485, 40, United-States, >50K -19, Private, 204389, HS-grad, 9, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 25, Puerto-Rico, <=50K -31, Federal-gov, 294870, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 159442, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -55, Local-gov, 161662, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -38, Private, 52738, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 252024, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, Mexico, <=50K -27, Private, 189702, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 407913, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 166527, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 20, United-States, <=50K -24, Self-emp-not-inc, 34918, Assoc-voc, 11, Never-married, Other-service, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -27, Private, 142712, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -18, Federal-gov, 201686, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 4, United-States, <=50K -28, Local-gov, 179759, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 94954, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, Private, 350498, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1258, 20, United-States, <=50K -19, Private, 201743, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -59, Self-emp-not-inc, 119344, 10th, 6, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 36, United-States, <=50K -33, Private, 149726, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 46, United-States, <=50K -28, Private, 419146, 7th-8th, 4, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -34, Private, 174789, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K -41, Private, 171234, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -30, Private, 206325, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -59, Private, 202682, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 121055, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, Private, 160187, HS-grad, 9, Separated, Prof-specialty, Other-relative, Black, Female, 14084, 0, 38, United-States, >50K -29, Private, 84366, 10th, 6, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -60, Private, 139391, Some-college, 10, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -53, Local-gov, 124094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 35, United-States, <=50K -41, Private, 30759, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 137875, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -73, ?, 139049, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 22, United-States, >50K -20, Private, 238384, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 340755, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 224947, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 111994, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -25, Private, 125491, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 34, United-States, <=50K -34, ?, 310525, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 10, United-States, <=50K -19, ?, 71592, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -40, Local-gov, 99185, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 249935, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 44, United-States, <=50K -51, Private, 206775, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 230704, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, Jamaica, <=50K -34, Private, 242361, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 50, United-States, <=50K -22, Private, 134746, 10th, 6, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 198613, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2002, 40, United-States, <=50K -56, Private, 174040, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 165953, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1902, 40, United-States, <=50K -36, Private, 273604, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 192409, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -26, Self-emp-not-inc, 102476, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 234504, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Self-emp-not-inc, 468713, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 84560, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 148995, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 34816, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 12, United-States, <=50K -28, Private, 211184, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -53, Private, 33304, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Federal-gov, 179985, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 219815, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 134766, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -26, Private, 106548, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -70, Private, 89787, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -55, Private, 164857, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Federal-gov, 257124, Bachelors, 13, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -31, Private, 227446, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Cuba, >50K -43, Private, 125461, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 55, United-States, >50K -24, Private, 189749, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 176321, 7th-8th, 4, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -26, Private, 284250, HS-grad, 9, Never-married, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 101885, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 134130, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -52, Private, 260938, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 238184, HS-grad, 9, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 148626, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 48102, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 50, United-States, >50K -58, Private, 234213, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 14344, 0, 48, United-States, >50K -65, Private, 113323, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Local-gov, 34246, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -51, Private, 175070, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 45, United-States, >50K -31, Private, 279680, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -84, Private, 188328, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -51, Private, 96609, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Local-gov, 84257, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 275632, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -22, Private, 385540, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 196342, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K -47, Private, 97176, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 197714, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -43, Self-emp-not-inc, 147099, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -30, Private, 186346, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -46, Private, 73434, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -49, Local-gov, 275074, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -37, Private, 209214, 5th-6th, 3, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -42, Private, 210525, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 372020, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 50, United-States, <=50K -46, Private, 176684, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 210474, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 293690, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, >50K -64, Private, 149775, Masters, 14, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 8, United-States, <=50K -20, Private, 323009, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -31, Private, 126950, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 172538, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, United-States, >50K -44, Private, 115411, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 101709, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 2885, 0, 40, United-States, <=50K -23, Private, 265356, Bachelors, 13, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 192565, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 90, United-States, >50K -35, Self-emp-not-inc, 348771, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K -30, Self-emp-not-inc, 148959, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 126569, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 20, United-States, <=50K -40, Private, 105936, HS-grad, 9, Married-spouse-absent, Adm-clerical, Own-child, White, Female, 0, 0, 38, United-States, <=50K -18, Private, 188076, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -23, Private, 184400, 10th, 6, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 30, ?, <=50K -63, Private, 124242, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -20, State-gov, 200819, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 100480, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -49, Private, 129513, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Self-emp-not-inc, 297796, 10th, 6, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 195488, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 153486, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 56, United-States, >50K -40, Private, 126845, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 206974, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 412149, 10th, 6, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K -24, Private, 653574, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K -37, Private, 70562, 1st-4th, 2, Never-married, Other-service, Unmarried, White, Female, 0, 0, 48, El-Salvador, <=50K -62, Private, 197514, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 16, United-States, <=50K -19, ?, 309284, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 334679, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -65, Private, 105116, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 2346, 0, 40, United-States, <=50K -31, Private, 151484, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K -42, Self-emp-inc, 78765, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 90, United-States, >50K -42, Private, 98427, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, <=50K -54, Private, 230767, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Cuba, <=50K -23, Private, 117606, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 60, United-States, <=50K -28, Private, 68642, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -42, Private, 341638, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 65920, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -33, Federal-gov, 188246, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 198727, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 160728, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 2977, 0, 40, United-States, <=50K -27, Private, 706026, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 348148, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -62, Private, 77884, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -17, Private, 160758, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -58, Private, 201112, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 55, United-States, >50K -69, Self-emp-inc, 107850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 6514, 0, 40, United-States, >50K -34, Private, 230246, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -34, Private, 203034, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 2824, 50, United-States, >50K -20, Private, 373935, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -64, Federal-gov, 341695, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -27, Private, 119793, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, ?, <=50K -41, Private, 178002, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -40, Private, 233130, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -53, Local-gov, 192982, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 38, United-States, >50K -44, Private, 33155, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 187346, 5th-6th, 3, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -46, Private, 78529, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 60, United-States, >50K -17, Private, 101626, 9th, 5, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 117567, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Local-gov, 110791, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, State-gov, 207120, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Private, 43206, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 120238, Bachelors, 13, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 189219, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -35, State-gov, 190895, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 83517, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 35557, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 50, United-States, >50K -36, Local-gov, 59313, Some-college, 10, Separated, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 202033, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Local-gov, 55658, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -21, Private, 118186, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -22, Private, 279901, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 110954, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, El-Salvador, >50K -36, Self-emp-not-inc, 90159, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 122489, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 1726, 60, United-States, <=50K -49, Self-emp-not-inc, 43348, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 99999, 0, 70, United-States, >50K -42, Private, 34278, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 37778, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 54, United-States, <=50K -39, Private, 160623, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 342458, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 64322, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 373914, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 205884, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, >50K -62, Local-gov, 208266, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 222450, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -23, Private, 348420, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 136081, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 2051, 40, United-States, <=50K -37, Federal-gov, 197284, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, ?, 204773, Assoc-acdm, 12, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 206066, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 61885, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 299908, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, United-States, >50K -35, Private, 46028, Assoc-acdm, 12, Divorced, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -47, Private, 239865, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1977, 45, United-States, >50K -30, Private, 154587, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Puerto-Rico, <=50K -29, Private, 244473, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 2051, 40, United-States, <=50K -36, Private, 32334, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -42, Private, 319588, Bachelors, 13, Married-spouse-absent, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -51, Private, 226735, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 226443, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 359259, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, Portugal, <=50K -27, Private, 36851, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 41, United-States, <=50K -39, Private, 393480, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 33109, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -32, Self-emp-not-inc, 188246, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 1590, 62, United-States, <=50K -31, Private, 231569, Bachelors, 13, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K -23, Private, 353010, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -47, Private, 102628, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -66, Private, 262285, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 99, United-States, <=50K -26, Private, 160300, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 156953, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Self-emp-inc, 136823, 11th, 7, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -48, Self-emp-not-inc, 160724, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Japan, <=50K -37, Self-emp-inc, 86459, Assoc-acdm, 12, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 238628, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 5, United-States, <=50K -50, Private, 339954, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -28, ?, 222005, HS-grad, 9, Never-married, ?, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -17, Federal-gov, 99893, 11th, 7, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 1602, 40, United-States, <=50K -39, Private, 214117, Some-college, 10, Divorced, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -28, Federal-gov, 298661, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 179488, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 48343, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 40, United-States, >50K -28, Local-gov, 100270, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 227065, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 32, United-States, >50K -40, Private, 126701, 9th, 5, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -20, Private, 209131, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 400132, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -23, State-gov, 278155, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 139012, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 2174, 0, 40, Vietnam, <=50K -41, Private, 178431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, <=50K -42, Private, 511068, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -18, Private, 199039, 12th, 8, Never-married, Sales, Own-child, White, Male, 594, 0, 14, United-States, <=50K -29, Local-gov, 190525, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 60, Germany, >50K -36, Private, 115700, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 167832, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 218164, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 44, United-States, <=50K -48, State-gov, 171926, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -36, Self-emp-inc, 242080, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K -67, Federal-gov, 223257, HS-grad, 9, Widowed, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 386773, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 40, United-States, >50K -53, Self-emp-not-inc, 105478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 40, United-States, >50K -45, Private, 140644, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -22, Private, 205970, 10th, 6, Separated, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 216583, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 43, United-States, <=50K -61, Private, 162432, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Local-gov, 83671, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-inc, 205100, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, Germany, <=50K -31, Private, 195750, 1st-4th, 2, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 220562, 9th, 5, Never-married, Sales, Other-relative, Other, Female, 0, 0, 32, Mexico, <=50K -38, Self-emp-inc, 312232, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 386337, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, ?, <=50K -42, Private, 86185, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -78, Private, 105586, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 36, United-States, <=50K -54, Private, 103345, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Local-gov, 150553, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K -30, Private, 26009, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -46, Private, 149388, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 151626, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -30, Private, 169583, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -66, Local-gov, 174486, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 20051, 0, 35, Jamaica, >50K -23, Private, 160951, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 2597, 0, 40, United-States, <=50K -25, Private, 213383, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 103078, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 109526, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -51, Private, 142835, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, State-gov, 43475, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 190916, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 175987, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Local-gov, 214385, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -26, Private, 192652, Bachelors, 13, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Federal-gov, 207685, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -19, Private, 143857, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -39, Private, 163392, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 26, ?, <=50K -51, Private, 310774, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -29, ?, 427965, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -27, Private, 279608, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Private, 312881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, Private, 175083, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K -67, ?, 132057, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 20, United-States, <=50K -41, Private, 32878, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Federal-gov, 360527, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 99478, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 113035, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Federal-gov, 99199, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 36, United-States, <=50K -24, Local-gov, 452640, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 14344, 0, 50, United-States, >50K -48, Private, 236858, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 31, United-States, <=50K -46, Self-emp-inc, 201865, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 268661, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Federal-gov, 475324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 117295, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 65704, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, ?, <=50K -45, Private, 192835, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Local-gov, 76720, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Local-gov, 180686, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K -33, Local-gov, 133876, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 123727, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -50, Private, 129956, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -25, Private, 96268, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 317320, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 86872, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -31, State-gov, 100863, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, >50K -56, Private, 164332, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K -49, Self-emp-not-inc, 122584, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 34377, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Private, 162030, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -33, Private, 199170, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 470203, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -40, Private, 266803, Assoc-acdm, 12, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -72, ?, 188009, 7th-8th, 4, Divorced, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -32, State-gov, 513416, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -44, Private, 98211, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -48, Private, 196107, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -17, Private, 108273, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 12, United-States, <=50K -50, Private, 213290, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1887, 36, United-States, >50K -61, Private, 96660, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 15024, 0, 34, United-States, >50K -22, Local-gov, 412316, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -17, Private, 120068, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K -49, Self-emp-inc, 101722, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -26, Private, 120268, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, State-gov, 144429, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 10, United-States, <=50K -17, Private, 271122, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -38, Private, 255621, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 90934, Assoc-voc, 11, Divorced, Protective-serv, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -51, Private, 162745, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K -48, Private, 128460, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K -63, Private, 30813, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 164585, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -73, Private, 148003, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 20051, 0, 36, United-States, >50K -51, Private, 215647, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -38, Private, 300975, Masters, 14, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1485, 40, ?, <=50K -54, Private, 421561, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 149909, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1848, 40, United-States, >50K -65, ?, 240857, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2377, 40, United-States, >50K -36, Self-emp-not-inc, 138940, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 4386, 0, 50, United-States, >50K -42, Private, 66755, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, United-States, <=50K -38, Private, 103323, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -20, ?, 117222, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, State-gov, 29145, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -35, State-gov, 184659, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1485, 40, United-States, >50K -51, Self-emp-not-inc, 20795, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 311376, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, State-gov, 122660, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -19, ?, 137578, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K -37, Private, 193689, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 42, United-States, >50K -29, Private, 144556, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 228696, 1st-4th, 2, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 2603, 32, Mexico, <=50K -60, Private, 184183, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -22, Private, 243178, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -22, ?, 236330, Some-college, 10, Never-married, ?, Own-child, Black, Male, 0, 1721, 20, United-States, <=50K -60, State-gov, 190682, Assoc-voc, 11, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -35, Private, 233786, 11th, 7, Separated, Other-service, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 102202, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 95299, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, >50K -43, Self-emp-inc, 240504, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -32, State-gov, 169973, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -35, Private, 144937, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K -32, Private, 211751, Assoc-voc, 11, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -61, Private, 84587, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -40, State-gov, 150874, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K -20, ?, 187332, 10th, 6, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -42, Self-emp-inc, 188615, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -21, Private, 119704, Some-college, 10, Never-married, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -21, Private, 275190, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -26, Private, 417941, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, State-gov, 196348, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -24, Private, 221955, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 173938, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K -51, Private, 123429, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -65, ?, 143732, HS-grad, 9, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -61, Private, 203126, Bachelors, 13, Divorced, Priv-house-serv, Not-in-family, White, Female, 0, 0, 12, ?, <=50K -67, Private, 174693, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, Nicaragua, <=50K -49, Private, 357540, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K -63, ?, 29859, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 1485, 40, United-States, >50K -58, Private, 314092, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 48, United-States, >50K -61, Private, 280088, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 257380, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 35, United-States, <=50K -19, Private, 165306, Some-college, 10, Never-married, Tech-support, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -29, Self-emp-not-inc, 109001, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 266439, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K -60, Self-emp-not-inc, 153356, HS-grad, 9, Divorced, Sales, Not-in-family, Black, Male, 2597, 0, 55, United-States, <=50K -21, Private, 32950, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 182163, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 188246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -36, Private, 297335, Bachelors, 13, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, China, <=50K -37, Private, 108366, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K -35, Private, 328301, Assoc-acdm, 12, Married-AF-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 182158, 10th, 6, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K -37, Private, 169426, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -22, ?, 330571, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -28, Private, 535978, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 29393, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-inc, 258883, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 60, Hungary, >50K -26, Private, 369166, Some-college, 10, Never-married, Farming-fishing, Other-relative, White, Female, 0, 0, 65, United-States, <=50K -45, Local-gov, 257855, 11th, 7, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K -32, Private, 164197, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -63, Private, 109517, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -22, Private, 112137, Some-college, 10, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 20, South, <=50K -36, Private, 160035, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -45, State-gov, 50567, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 140011, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -27, State-gov, 271328, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -20, ?, 183083, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -47, Self-emp-not-inc, 159869, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, >50K -46, Private, 102542, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 52, United-States, <=50K -28, Private, 297742, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 176917, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 165235, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Thailand, <=50K -32, Self-emp-not-inc, 52647, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Local-gov, 48542, 12th, 8, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 279232, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -58, State-gov, 259929, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, >50K -45, Private, 221780, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -76, Self-emp-not-inc, 253408, Some-college, 10, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 298841, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 321313, Masters, 14, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 64875, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 275232, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -53, Self-emp-inc, 134854, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Greece, >50K -41, Private, 67339, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K -27, State-gov, 192355, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -44, Local-gov, 208528, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 160120, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -36, Private, 250238, 1st-4th, 2, Never-married, Other-service, Other-relative, Other, Female, 0, 0, 40, El-Salvador, <=50K -51, Private, 25031, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 10, United-States, >50K -42, Local-gov, 255847, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 26892, Bachelors, 13, Married-AF-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K -45, Private, 111979, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 408537, 9th, 5, Divorced, Craft-repair, Unmarried, White, Female, 99999, 0, 37, United-States, >50K -36, Private, 231037, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Federal-gov, 30030, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -27, Private, 292120, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -62, Private, 138253, Masters, 14, Never-married, Handlers-cleaners, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -29, Private, 190777, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -38, Self-emp-not-inc, 41591, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -29, Private, 186733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -18, ?, 78567, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -19, ?, 140590, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -32, Local-gov, 230912, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K -34, Private, 176185, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -25, Private, 182227, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -34, Local-gov, 205704, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -37, State-gov, 24342, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, <=50K -37, Private, 138192, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -18, Private, 334676, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -24, Private, 177526, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 152696, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -35, Private, 114765, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 265509, Assoc-voc, 11, Separated, Tech-support, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -29, Private, 180758, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -49, Self-emp-not-inc, 127921, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, ?, 177906, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K -35, Federal-gov, 182898, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 422249, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 222450, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Local-gov, 190027, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 18, United-States, <=50K -49, Private, 281647, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -32, Private, 117963, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -63, ?, 319121, 11th, 7, Separated, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 225504, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 104334, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -30, State-gov, 48214, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -30, Private, 145714, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 38240, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Self-emp-not-inc, 27385, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 10, United-States, <=50K -56, Private, 204254, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 45, United-States, <=50K -28, Private, 411587, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, Honduras, <=50K -43, Private, 221172, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 24, United-States, >50K -46, Private, 54190, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -60, Private, 93997, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -50, Local-gov, 24139, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 65, United-States, <=50K -37, Private, 112497, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -41, Private, 138907, HS-grad, 9, Divorced, Priv-house-serv, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 186325, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 38, United-States, >50K -23, Private, 199452, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 126677, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -72, Private, 107814, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 2329, 0, 60, United-States, <=50K -47, Local-gov, 93618, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -29, Private, 353352, Assoc-voc, 11, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 143058, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 239663, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 15, United-States, <=50K -22, Private, 167615, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 442274, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 149210, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K -55, Federal-gov, 174533, Bachelors, 13, Separated, Other-service, Unmarried, White, Female, 0, 0, 72, ?, <=50K -40, State-gov, 50093, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -61, Private, 270056, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K -58, Self-emp-not-inc, 131991, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 72, United-States, <=50K -39, State-gov, 126336, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 341117, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -25, Private, 108505, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -69, ?, 106566, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Private, 74791, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Male, 0, 0, 60, ?, <=50K -34, Private, 24266, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -45, Private, 267967, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -27, ?, 181284, 12th, 8, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 45, United-States, <=50K -28, Private, 102533, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 69757, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -41, State-gov, 210094, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -18, State-gov, 389147, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -44, Private, 210648, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 94809, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K -36, Local-gov, 298717, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 236879, Preschool, 1, Widowed, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Guatemala, <=50K -33, Private, 170148, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -39, Local-gov, 166497, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -30, Private, 247156, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 204052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Self-emp-not-inc, 122246, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -21, Private, 180339, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -50, Self-emp-inc, 155574, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 50, United-States, >50K -30, Private, 114912, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 60, United-States, >50K -43, Private, 193882, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 112269, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -26, Federal-gov, 171928, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Japan, <=50K -50, Private, 95435, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1579, 65, Canada, <=50K -45, Federal-gov, 179638, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -46, Self-emp-inc, 125892, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 721712, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, United-States, <=50K -56, Private, 197369, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 353795, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 3103, 0, 40, United-States, >50K -47, Private, 334679, Masters, 14, Separated, Machine-op-inspct, Unmarried, Asian-Pac-Islander, Female, 0, 0, 42, India, <=50K -23, Private, 235853, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -51, Self-emp-not-inc, 353281, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 203061, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -33, Self-emp-not-inc, 62932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 118551, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 80, United-States, <=50K -52, Private, 99184, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 189674, Some-college, 10, Separated, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 226883, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, ?, 109564, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Self-emp-inc, 66872, 12th, 8, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 98, Dominican-Republic, <=50K -35, Local-gov, 268292, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Federal-gov, 139290, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 206541, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 203139, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 294398, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 386864, 10th, 6, Never-married, Other-service, Other-relative, White, Male, 0, 0, 35, Mexico, <=50K -17, Private, 369909, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -56, Private, 89922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 45, United-States, >50K -26, Private, 176008, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, State-gov, 241506, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 36, United-States, <=50K -45, Self-emp-not-inc, 174426, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 167497, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 50, United-States, >50K -54, Private, 292673, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, Mexico, <=50K -51, Local-gov, 134808, HS-grad, 9, Widowed, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 95763, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -49, Private, 83622, Assoc-acdm, 12, Separated, Adm-clerical, Not-in-family, White, Female, 2597, 0, 40, United-States, <=50K -21, Private, 222490, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 29115, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 66638, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -39, Private, 53926, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 43739, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 104359, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 124604, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -45, Private, 114797, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -60, Federal-gov, 67320, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -28, Federal-gov, 53147, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 13769, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Amer-Indian-Eskimo, Male, 0, 0, 30, United-States, <=50K -44, Private, 202872, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -19, State-gov, 149528, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 12, United-States, <=50K -37, Private, 132879, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 112362, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 38, United-States, <=50K -56, Federal-gov, 156229, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -44, Private, 131650, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 54, United-States, >50K -30, Private, 154568, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 36, Vietnam, >50K -23, Private, 132300, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 124747, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 3103, 0, 40, United-States, >50K -38, Private, 276559, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K -32, Private, 106014, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 50, United-States, >50K -57, Self-emp-not-inc, 135134, Masters, 14, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 86648, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -48, Self-emp-not-inc, 107231, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -32, Local-gov, 113838, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 99, United-States, <=50K -76, Federal-gov, 25319, Masters, 14, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -57, Local-gov, 190561, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 30, United-States, <=50K -58, ?, 150031, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 48343, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -50, Private, 211116, 10th, 6, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 226311, HS-grad, 9, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K -53, Private, 283743, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 40, United-States, <=50K -59, Self-emp-not-inc, 64102, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 234663, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 247880, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -23, Private, 615367, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 163090, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -44, Private, 192225, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 370183, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 242482, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 169953, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Local-gov, 144182, Preschool, 1, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -38, Private, 125933, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 27828, 0, 45, United-States, >50K -26, Private, 203777, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -39, Private, 210991, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 472580, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 200289, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 19, India, <=50K -43, Private, 289669, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 2547, 40, United-States, >50K -30, Private, 110622, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, China, <=50K -59, State-gov, 139616, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -26, Private, 39212, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -28, Private, 51961, Some-college, 10, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 24, United-States, <=50K -48, Self-emp-not-inc, 117849, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 50748, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 1506, 0, 35, United-States, <=50K -41, Self-emp-not-inc, 170214, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 2179, 40, United-States, <=50K -20, Private, 151790, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 168211, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -37, State-gov, 117651, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 157131, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 8, United-States, <=50K -61, Private, 225970, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 177951, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, <=50K -66, Private, 134130, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -68, Private, 191581, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 3273, 0, 40, United-States, <=50K -27, Local-gov, 199172, HS-grad, 9, Married-civ-spouse, Protective-serv, Wife, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-not-inc, 262552, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 7, United-States, <=50K -28, Private, 66434, 10th, 6, Never-married, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 77661, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, ?, 230856, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 192835, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -62, ?, 181014, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 200445, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 1974, 40, United-States, <=50K -26, Self-emp-not-inc, 37918, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 111020, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 244665, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, Honduras, <=50K -52, Private, 312477, HS-grad, 9, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 243493, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 12, United-States, <=50K -39, State-gov, 152023, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 104193, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 114, 0, 40, United-States, <=50K -47, Private, 170850, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, <=50K -33, Private, 137088, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, Ecuador, <=50K -17, Private, 340557, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -26, Private, 298225, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 114150, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 194668, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K -33, Private, 188246, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K -46, Federal-gov, 330901, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 80165, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -48, Private, 83444, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 40, United-States, >50K -29, Self-emp-not-inc, 85572, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 5, United-States, <=50K -40, Private, 116632, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 139989, Bachelors, 13, Never-married, Sales, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -55, Private, 135803, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 1579, 35, India, <=50K -56, Private, 75785, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 248612, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -36, Private, 28572, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Self-emp-not-inc, 31143, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 216924, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 44, United-States, >50K -36, Private, 549174, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Self-emp-not-inc, 111296, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, Mexico, <=50K -25, Private, 208881, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, State-gov, 243666, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 327164, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, ?, <=50K -39, Self-emp-inc, 131288, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 5178, 0, 48, United-States, >50K -35, Private, 257416, Assoc-voc, 11, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 215288, 11th, 7, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -31, Private, 58582, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K -49, Private, 199378, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 22, United-States, <=50K -34, Self-emp-not-inc, 114185, Bachelors, 13, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -40, Private, 137421, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Trinadad&Tobago, <=50K -27, Private, 216481, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 196504, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 23, United-States, <=50K -38, Private, 357870, 12th, 8, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 50, United-States, <=50K -55, State-gov, 256335, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 168191, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 70, Italy, <=50K -40, Private, 215596, Bachelors, 13, Married-spouse-absent, Other-service, Not-in-family, Other, Male, 0, 0, 40, Mexico, <=50K -42, Private, 184682, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -51, Private, 171914, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 288229, Bachelors, 13, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 50, Laos, <=50K -30, State-gov, 144064, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -70, ?, 54849, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, >50K -40, Private, 141583, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 180985, Bachelors, 13, Separated, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -24, Private, 148709, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, ?, 174626, 7th-8th, 4, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 184801, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -52, Private, 89054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 147284, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 169973, Assoc-voc, 11, Separated, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 222993, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 41099, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 33117, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 162551, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Hong, >50K -49, Private, 122066, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 2603, 40, Greece, <=50K -61, ?, 42938, Bachelors, 13, Never-married, ?, Not-in-family, White, Male, 0, 0, 7, United-States, >50K -46, Private, 389843, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Germany, >50K -37, Private, 138940, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Federal-gov, 141877, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 172722, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Self-emp-not-inc, 118523, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 227886, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -36, Private, 80743, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, South, <=50K -52, Private, 199688, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 225823, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -21, Private, 176486, HS-grad, 9, Married-spouse-absent, Exec-managerial, Other-relative, White, Female, 0, 0, 60, United-States, <=50K -63, Private, 175777, 10th, 6, Separated, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 295010, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 437825, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, Peru, <=50K -50, Private, 270194, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, Private, 242089, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -39, Self-emp-inc, 117555, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -23, Private, 146499, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -52, Private, 222405, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 2377, 40, United-States, <=50K -17, ?, 216595, 11th, 7, Never-married, ?, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -46, Private, 157991, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 625, 40, United-States, <=50K -26, Private, 373553, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 42, United-States, <=50K -30, Private, 194827, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -23, Private, 60331, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -21, State-gov, 96483, Some-college, 10, Never-married, Adm-clerical, Own-child, Asian-Pac-Islander, Female, 0, 0, 12, United-States, <=50K -39, Private, 211154, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -37, Local-gov, 247750, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 204235, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 50, United-States, >50K -38, Private, 197113, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -47, Private, 178341, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 4064, 0, 60, United-States, <=50K -20, Private, 293297, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 35330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, State-gov, 202056, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K -32, Private, 61898, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -42, Self-emp-inc, 1097453, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -32, Private, 176992, 10th, 6, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 295289, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K -53, Self-emp-inc, 298215, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Self-emp-not-inc, 209934, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, Mexico, <=50K -26, Private, 164938, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 423222, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -23, Private, 124259, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -70, Self-emp-inc, 232871, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, <=50K -41, State-gov, 73199, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 27661, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -65, Private, 461715, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 25, ?, <=50K -40, Self-emp-not-inc, 89413, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K -64, Self-emp-not-inc, 31826, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -40, Private, 279679, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -43, Private, 221172, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -50, Federal-gov, 222020, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, <=50K -19, ?, 181265, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -32, Self-emp-not-inc, 261056, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 2174, 0, 60, ?, <=50K -32, Private, 204792, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 384508, 11th, 7, Divorced, Sales, Unmarried, White, Male, 1506, 0, 50, Mexico, <=50K -41, Private, 288568, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 182714, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K -20, Private, 471452, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -45, State-gov, 264052, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 146659, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 50, United-States, >50K -24, Private, 203027, Assoc-acdm, 12, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 218309, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 133625, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -35, Private, 45937, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, ?, 389850, HS-grad, 9, Married-spouse-absent, ?, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K -38, Federal-gov, 201617, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Local-gov, 114733, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -50, State-gov, 97778, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 149507, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Private, 82622, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 48014, Masters, 14, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, France, <=50K -61, State-gov, 162678, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 213842, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 38, United-States, <=50K -61, Private, 221447, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -18, Private, 426836, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -31, Local-gov, 206609, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 50276, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 180497, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -35, Private, 220585, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 202752, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 75993, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -18, Private, 170544, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -55, Private, 115439, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -59, Private, 24384, HS-grad, 9, Widowed, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 209067, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 65225, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -60, Federal-gov, 27466, Some-college, 10, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, England, <=50K -49, Federal-gov, 179869, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 442131, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 243283, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 316627, 5th-6th, 3, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 208862, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Federal-gov, 38645, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 141272, Bachelors, 13, Never-married, Other-service, Own-child, Black, Female, 0, 0, 30, United-States, <=50K -41, State-gov, 29324, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -18, ?, 348588, 12th, 8, Never-married, ?, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -40, Private, 124747, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 7298, 0, 40, United-States, >50K -55, Self-emp-not-inc, 477867, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 218361, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 12, United-States, <=50K -34, Self-emp-not-inc, 156809, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1504, 60, United-States, <=50K -24, Private, 267945, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 35724, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -29, Private, 187188, Masters, 14, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 60, United-States, <=50K -52, Private, 155983, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Federal-gov, 414994, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 103474, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -43, Private, 211128, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -61, Private, 203445, Some-college, 10, Widowed, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 38312, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 65, United-States, >50K -51, Private, 178241, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, >50K -40, Private, 260761, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Mexico, <=50K -41, Local-gov, 36924, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 292590, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 461929, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -59, Private, 189664, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 190577, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 344200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 337494, Assoc-acdm, 12, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -54, Self-emp-not-inc, 52634, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 194901, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 2444, 42, United-States, >50K -20, Private, 170091, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -27, ?, 189399, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 205072, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -35, Private, 310290, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 134048, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -40, Private, 91959, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, >50K -34, Private, 153942, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Local-gov, 234096, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 185330, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 25, United-States, <=50K -28, Private, 163772, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Other, Male, 0, 0, 40, United-States, <=50K -65, Private, 83800, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 27, United-States, <=50K -61, Private, 139391, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 16, United-States, <=50K -18, Private, 478380, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -35, Self-emp-inc, 186845, Bachelors, 13, Married-civ-spouse, Sales, Own-child, White, Male, 5178, 0, 50, United-States, >50K -45, Private, 262802, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -68, ?, 152157, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 114483, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 118023, Prof-school, 15, Divorced, Sales, Not-in-family, White, Male, 0, 0, 13, United-States, <=50K -19, Private, 220101, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 219424, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 50, United-States, >50K -54, Private, 186117, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -47, Self-emp-not-inc, 479611, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 80312, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 4865, 0, 40, United-States, <=50K -30, Private, 108386, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 125926, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -35, Private, 177102, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 190762, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 18, United-States, <=50K -61, Private, 180632, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 88019, HS-grad, 9, Divorced, Other-service, Unmarried, White, Male, 0, 0, 32, United-States, <=50K -50, Private, 135339, 12th, 8, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K -32, Private, 100662, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Columbia, <=50K -34, Private, 183557, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -36, Private, 160035, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 306790, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 269246, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 308334, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 19, United-States, <=50K -58, Private, 215190, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -27, Private, 419146, 5th-6th, 3, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 75, Mexico, <=50K -62, Private, 176839, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 38, United-States, <=50K -36, Self-emp-inc, 184456, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 27828, 0, 55, United-States, >50K -21, Local-gov, 309348, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 594, 0, 4, United-States, <=50K -41, Private, 56795, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, England, <=50K -28, Private, 201861, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 179509, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 291755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 243941, Some-college, 10, Never-married, Sales, Own-child, Amer-Indian-Eskimo, Female, 0, 1721, 25, United-States, <=50K -76, Self-emp-not-inc, 117169, 7th-8th, 4, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -25, ?, 100903, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K -34, Private, 159322, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 262872, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 187052, 11th, 7, Never-married, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -17, Private, 277583, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -55, Private, 169071, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -51, Local-gov, 96190, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 61603, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -44, Private, 43711, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -65, ?, 197883, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 70, United-States, <=50K -54, Private, 99434, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Self-emp-not-inc, 177639, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 201723, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 222248, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -39, Private, 86143, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -46, ?, 228620, 11th, 7, Widowed, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 346034, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, El-Salvador, <=50K -59, Private, 87510, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 37932, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 185063, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -62, ?, 125493, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 5178, 0, 40, Scotland, >50K -51, Private, 159755, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -34, Private, 108837, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 110669, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -21, ?, 220115, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -30, Self-emp-not-inc, 45427, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K -38, Private, 154669, HS-grad, 9, Separated, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 261278, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 5178, 0, 40, Philippines, >50K -23, Private, 71864, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -34, Private, 173495, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -22, Private, 254293, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 111883, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 146429, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 472807, 1st-4th, 2, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 52, Mexico, <=50K -28, Private, 285294, Bachelors, 13, Married-civ-spouse, Sales, Wife, Black, Female, 15024, 0, 45, United-States, >50K -23, Private, 184665, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -35, Private, 205852, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 83879, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 178564, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -46, Self-emp-inc, 168796, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -27, Private, 269444, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 47353, 10th, 6, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 29254, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -33, Private, 155343, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 234271, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 257849, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 228230, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 47, United-States, <=50K -36, Private, 227615, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 32, Mexico, <=50K -29, Private, 406826, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -50, Self-emp-not-inc, 27539, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 40, United-States, >50K -19, Private, 97261, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 232022, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Federal-gov, 168539, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 515797, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 351381, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 161018, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -60, Private, 26721, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 164123, 11th, 7, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 98418, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -36, Private, 29814, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 254613, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, Cuba, <=50K -49, Private, 207677, 7th-8th, 4, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -25, Self-emp-not-inc, 217030, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -50, Private, 171199, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 198270, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -28, ?, 131310, HS-grad, 9, Separated, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 79923, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K -40, Self-emp-inc, 475322, Bachelors, 13, Separated, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 134286, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Self-emp-not-inc, 73746, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 125525, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 42, United-States, <=50K -38, ?, 155676, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 304949, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 10, United-States, <=50K -67, Private, 150516, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 24, United-States, <=50K -54, State-gov, 249096, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 164127, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -59, Private, 304779, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 157043, 11th, 7, Widowed, Handlers-cleaners, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -30, Private, 396538, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 29, United-States, <=50K -42, Private, 510072, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -64, ?, 200017, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -61, ?, 60641, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -26, Private, 89326, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 200471, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 4064, 0, 40, United-States, <=50K -78, Self-emp-not-inc, 82815, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 3, United-States, >50K -24, Self-emp-not-inc, 117210, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 202206, 11th, 7, Separated, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Puerto-Rico, <=50K -51, Private, 123429, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Private, 353512, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Self-emp-not-inc, 26683, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 204641, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 225053, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, ?, 98776, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 263932, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 108247, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Self-emp-not-inc, 369648, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -26, Private, 339324, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 96, United-States, <=50K -59, ?, 145574, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, >50K -53, Private, 317313, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -24, Local-gov, 162919, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 186314, Some-college, 10, Separated, Prof-specialty, Own-child, White, Male, 0, 0, 54, United-States, <=50K -36, Private, 254202, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -39, Private, 108140, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Private, 287317, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 32, United-States, <=50K -75, Self-emp-inc, 81534, HS-grad, 9, Widowed, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 35, United-States, >50K -36, Private, 35945, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Self-emp-inc, 204928, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 208809, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -29, Private, 133625, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -60, Private, 71683, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 49, United-States, <=50K -58, Private, 570562, HS-grad, 9, Widowed, Sales, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -67, Self-emp-not-inc, 36876, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -35, Private, 253006, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 38, United-States, >50K -39, Self-emp-not-inc, 50096, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K -37, Private, 336880, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -54, ?, 135840, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -63, Self-emp-not-inc, 168048, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 187969, 11th, 7, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -23, Private, 117363, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 256526, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 4865, 0, 45, United-States, <=50K -49, Private, 304416, 11th, 7, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 248011, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K -23, Private, 229826, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 159796, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -44, Private, 165346, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Private, 25386, Assoc-voc, 11, Never-married, Other-service, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -35, Private, 491000, Assoc-voc, 11, Divorced, Prof-specialty, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -23, Local-gov, 247731, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, Cuba, <=50K -48, Private, 180532, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 189462, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 2176, 0, 40, United-States, <=50K -44, Private, 419134, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 170166, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 25, United-States, <=50K -33, Self-emp-not-inc, 173495, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 423024, 12th, 8, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -24, Private, 72119, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 2202, 0, 30, United-States, <=50K -32, Local-gov, 19302, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, England, >50K -24, State-gov, 257621, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -44, Self-emp-inc, 118212, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K -27, Private, 259840, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 115289, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, France, >50K -26, Local-gov, 159662, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 379798, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 227945, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 65, United-States, >50K -41, State-gov, 36999, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 75, United-States, >50K -73, ?, 131982, Bachelors, 13, Married-civ-spouse, ?, Husband, Asian-Pac-Islander, Male, 0, 0, 5, Vietnam, <=50K -32, Self-emp-inc, 124052, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -56, Local-gov, 273084, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -59, Private, 170104, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -44, Private, 96249, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -35, Private, 140915, Bachelors, 13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 1590, 40, South, <=50K -52, Private, 230657, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 3781, 0, 40, Columbia, <=50K -30, Private, 195576, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 3325, 0, 50, United-States, <=50K -23, Private, 117767, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 112763, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 8614, 0, 43, United-States, >50K -61, Private, 79827, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 103925, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -68, Private, 161744, 10th, 6, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 16, United-States, <=50K -41, Private, 106679, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K -42, Self-emp-not-inc, 196514, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, ?, 61985, 9th, 5, Separated, ?, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -19, Private, 157605, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 137367, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -40, Self-emp-inc, 110862, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 50, United-States, <=50K -32, Private, 74883, Bachelors, 13, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -51, Self-emp-inc, 98642, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K -44, Local-gov, 144778, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 177787, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 30, England, <=50K -30, ?, 103651, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 162108, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -24, Private, 217602, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 473133, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -17, Private, 113301, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, ?, <=50K -61, Private, 80896, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, India, >50K -30, Local-gov, 168387, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 38950, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 107801, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 191277, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 205359, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -39, ?, 240226, HS-grad, 9, Married-civ-spouse, ?, Husband, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 203357, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -52, Local-gov, 153064, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 202959, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 105150, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -19, Private, 238474, 11th, 7, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 1085515, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -25, Private, 82560, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 43, United-States, <=50K -71, Private, 55965, 7th-8th, 4, Widowed, Transport-moving, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -27, Private, 161087, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 261278, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -54, Private, 182187, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, Black, Male, 15024, 0, 38, Jamaica, >50K -18, Private, 138917, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 10, United-States, <=50K -49, Private, 200198, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -36, Private, 205359, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -57, Private, 250201, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -56, Federal-gov, 67153, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Portugal, >50K -17, Private, 244523, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -30, Private, 236599, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 108713, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 177147, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 129246, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -50, ?, 222381, Some-college, 10, Divorced, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 145111, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 62258, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, State-gov, 108293, Masters, 14, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -61, ?, 167284, 7th-8th, 4, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -25, Private, 97789, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 111415, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -38, Private, 374524, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 287244, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -17, ?, 341395, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -48, Private, 278039, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 98360, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 317032, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -55, State-gov, 294395, Assoc-voc, 11, Widowed, Prof-specialty, Unmarried, White, Female, 6849, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 240900, HS-grad, 9, Divorced, Farming-fishing, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 32896, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 35, United-States, <=50K -49, Private, 97411, 7th-8th, 4, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, Laos, <=50K -19, Private, 72355, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 342448, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -43, Private, 187702, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 2174, 0, 45, United-States, <=50K -42, Private, 303388, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, <=50K -17, Private, 112291, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 12, United-States, <=50K -30, Private, 208668, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K -61, Local-gov, 28375, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -48, Private, 207277, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -60, ?, 88675, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 47857, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Private, 372500, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, Mexico, <=50K -24, Private, 190968, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -41, Private, 37997, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 84, United-States, >50K -42, Private, 257328, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 127610, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -22, ?, 139324, 9th, 5, Never-married, ?, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -47, Private, 164423, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -50, Private, 104501, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1980, 40, United-States, <=50K -30, Private, 56121, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 296212, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 157640, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -44, Private, 222504, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 45, United-States, >50K -34, Private, 261023, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1651, 38, United-States, <=50K -52, Private, 146567, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K -34, Private, 116910, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Private, 132601, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 185537, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -22, Private, 500720, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, Mexico, <=50K -42, Private, 182108, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -37, Private, 231491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -36, Self-emp-not-inc, 239415, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -38, Private, 179262, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -72, Without-pay, 121004, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, United-States, <=50K -40, Private, 252392, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -19, Private, 163578, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -55, Private, 143266, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Hungary, >50K -30, Private, 285902, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 113094, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Female, 0, 1092, 40, United-States, <=50K -29, Private, 278637, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 3103, 0, 45, United-States, >50K -41, Private, 174540, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 4, United-States, <=50K -29, Private, 188729, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -24, Private, 72143, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -46, Self-emp-not-inc, 328216, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Private, 165815, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -17, Private, 317702, 10th, 6, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -35, Private, 215323, Assoc-voc, 11, Divorced, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 192939, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 156352, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 155066, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -38, Self-emp-not-inc, 152621, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K -19, Private, 298891, 11th, 7, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, Honduras, <=50K -30, Private, 193298, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -36, Local-gov, 150309, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -27, Private, 384308, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 305647, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -66, ?, 182378, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 30, United-States, <=50K -65, Federal-gov, 23494, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 2174, 40, United-States, >50K -37, Private, 421633, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K -17, Private, 57723, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 30, United-States, <=50K -19, ?, 307837, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 103540, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 50, United-States, <=50K -54, Self-emp-not-inc, 136224, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -21, Private, 231573, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 242804, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 163671, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 287701, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 48, United-States, >50K -31, Private, 187560, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -41, Private, 222504, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -20, Private, 41356, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 59335, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 15, United-States, <=50K -62, Private, 84756, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -41, Private, 407425, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 162424, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Self-emp-not-inc, 175456, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 52603, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 250630, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -46, Self-emp-not-inc, 233974, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 376302, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -50, Private, 195638, 10th, 6, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 225775, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, Mexico, <=50K -84, Private, 388384, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 10, United-States, <=50K -48, Self-emp-not-inc, 219021, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -61, Self-emp-not-inc, 168654, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 180609, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -32, Private, 114746, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Female, 0, 0, 60, South, <=50K -25, Private, 178037, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -47, State-gov, 160045, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 268524, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -37, Private, 174844, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 17, United-States, <=50K -28, Private, 82488, HS-grad, 9, Divorced, Tech-support, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -34, Private, 221167, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -32, Self-emp-not-inc, 48014, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 217226, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -22, ?, 177902, Some-college, 10, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K -30, Private, 39386, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 99, United-States, <=50K -56, Private, 37394, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 115426, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 114158, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 26, United-States, <=50K -40, Private, 119101, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 68, United-States, >50K -28, Private, 360527, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 225544, 12th, 8, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 108438, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 230315, Some-college, 10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Dominican-Republic, <=50K -32, Private, 158002, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 55, Ecuador, <=50K -37, Private, 179468, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -71, Private, 99894, 5th-6th, 3, Widowed, Priv-house-serv, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 75, United-States, <=50K -30, Private, 270889, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 42279, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -53, Federal-gov, 167380, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1740, 50, United-States, <=50K -42, Private, 274913, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 35910, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 56, United-States, >50K -26, Private, 68001, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 27162, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 16, United-States, <=50K -37, Self-emp-not-inc, 286146, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Local-gov, 95462, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 50103, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 511668, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 43, United-States, >50K -38, Self-emp-inc, 189679, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 115064, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, State-gov, 215443, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 38, United-States, <=50K -32, Private, 174789, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 91999, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -59, Federal-gov, 100931, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Self-emp-not-inc, 119069, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 277488, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 84, United-States, <=50K -35, Private, 265662, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 114591, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 40, United-States, >50K -24, Private, 227594, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 129707, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 40, United-States, >50K -61, ?, 175032, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 133569, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -20, Local-gov, 308654, Some-college, 10, Never-married, Protective-serv, Own-child, Asian-Pac-Islander, Female, 0, 0, 20, United-States, <=50K -36, Private, 156084, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Federal-gov, 380127, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 210781, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 189759, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 2001, 40, United-States, <=50K -34, Private, 258675, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 223367, 11th, 7, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -42, ?, 204817, 9th, 5, Never-married, ?, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -23, Private, 409230, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -46, Federal-gov, 308077, Prof-school, 15, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 40, Germany, >50K -60, Private, 159049, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, Germany, >50K -40, Private, 353142, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 143030, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 304857, Masters, 14, Separated, Tech-support, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K -28, Private, 30912, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 43, United-States, <=50K -55, Private, 125000, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -47, Private, 181363, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 338620, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, >50K -32, Private, 115989, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K -38, Private, 111128, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Self-emp-not-inc, 201273, Some-college, 10, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, Self-emp-inc, 137354, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -29, Private, 133420, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -26, Private, 192208, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K -19, Private, 220001, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 352612, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 169426, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7298, 0, 40, United-States, >50K -42, Private, 319016, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 2885, 0, 45, United-States, <=50K -55, Private, 119751, Masters, 14, Never-married, Prof-specialty, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Thailand, <=50K -55, Private, 202220, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 2407, 0, 35, United-States, <=50K -43, Self-emp-not-inc, 99220, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 111275, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Federal-gov, 261241, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 261725, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -36, Private, 182013, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 40666, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 216461, Some-college, 10, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -60, Private, 320376, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 282951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -36, State-gov, 166697, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 290856, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 455361, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, Guatemala, <=50K -51, Private, 82783, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 56536, 11th, 7, Never-married, Sales, Own-child, White, Female, 1055, 0, 18, India, <=50K -33, Self-emp-not-inc, 109959, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K -50, Private, 177927, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 192337, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 236272, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -26, Private, 33610, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 209483, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 47, United-States, <=50K -26, Private, 247006, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, United-States, <=50K -30, Local-gov, 311913, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -39, ?, 204756, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -33, Local-gov, 300681, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -42, State-gov, 24264, Some-college, 10, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 38, United-States, <=50K -28, Private, 266070, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -20, Private, 226978, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -66, Local-gov, 362165, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, Black, Female, 0, 2206, 25, United-States, <=50K -31, Private, 341672, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, <=50K -36, Private, 179488, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, Canada, <=50K -39, Federal-gov, 243872, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -52, Private, 259583, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 159822, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, Poland, >50K -27, Private, 219863, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 206947, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -21, Private, 245572, 9th, 5, Never-married, Other-service, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -25, Private, 38488, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 182504, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -38, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, Italy, <=50K -51, ?, 521665, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -29, Private, 46442, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1902, 50, United-States, >50K -45, Private, 60267, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -59, Private, 264357, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 191814, HS-grad, 9, Married-civ-spouse, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 107882, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 174575, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 143331, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -32, Private, 126132, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -42, Private, 198619, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 211287, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2392, 40, United-States, >50K -55, Federal-gov, 238192, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1887, 40, United-States, >50K -43, Private, 257780, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 183355, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 148429, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 71221, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -21, Self-emp-not-inc, 236769, 7th-8th, 4, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 32146, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 347491, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 1876, 46, United-States, <=50K -34, Private, 180714, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 2179, 40, United-States, <=50K -57, ?, 188877, 9th, 5, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 306747, Bachelors, 13, Divorced, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -21, State-gov, 478457, Some-college, 10, Never-married, Other-service, Own-child, Black, Female, 0, 0, 12, United-States, <=50K -25, Private, 248990, 5th-6th, 3, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -51, Self-emp-inc, 46281, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 148015, Bachelors, 13, Never-married, Sales, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -19, Private, 278115, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -27, Private, 190525, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K -34, Private, 176673, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -33, ?, 202366, HS-grad, 9, Divorced, ?, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -36, Private, 238415, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 37939, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -60, Self-emp-not-inc, 35649, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 383493, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -47, Federal-gov, 204900, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 20809, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 75, United-States, >50K -34, Private, 148207, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -21, Private, 200153, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K -30, Private, 169496, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 15, United-States, >50K -53, Private, 22978, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -34, Private, 366898, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Germany, <=50K -37, Private, 324947, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 321577, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 241360, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 207564, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 220860, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -41, Local-gov, 336571, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, State-gov, 56402, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -65, Private, 180280, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 81282, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 86332, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 4064, 0, 55, United-States, <=50K -30, Local-gov, 27051, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 287647, Masters, 14, Divorced, Sales, Not-in-family, White, Male, 4787, 0, 45, United-States, >50K -37, Self-emp-not-inc, 183735, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 30, United-States, <=50K -42, Private, 100800, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 155094, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 45, United-States, >50K -67, ?, 102693, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 1086, 0, 35, United-States, <=50K -31, Private, 151053, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K -50, Private, 548361, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, >50K -33, Private, 173858, Bachelors, 13, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -27, Private, 347153, Some-college, 10, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 319146, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 40, Mexico, >50K -35, Private, 197719, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -55, Private, 197114, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 6, United-States, >50K -54, Self-emp-not-inc, 109418, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1977, 35, United-States, >50K -56, Private, 182062, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K -21, Private, 184543, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, Private, 175558, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, Germany, <=50K -46, Private, 122026, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 340543, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -43, Private, 101950, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -40, Private, 179508, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K -52, Private, 225317, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -59, Local-gov, 53304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Local-gov, 282602, Assoc-voc, 11, Separated, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 184016, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 250165, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 196467, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -59, ?, 220783, 10th, 6, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 178780, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -62, Private, 65868, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -54, Private, 35459, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 98986, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 282092, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 140764, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 45, United-States, <=50K -30, Private, 33124, HS-grad, 9, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 14, United-States, <=50K -46, Private, 90042, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 102986, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, >50K -21, Private, 214387, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 64, United-States, <=50K -39, Private, 180667, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 278329, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -32, Private, 184440, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3464, 0, 40, United-States, <=50K -23, Private, 140462, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 202565, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Italy, <=50K -62, ?, 181063, 10th, 6, Widowed, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -28, Private, 287268, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 215955, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 82552, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 41745, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 73587, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -54, Private, 263925, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 196119, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -27, Private, 284741, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -30, Private, 293936, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -35, Private, 340428, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -66, ?, 175891, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Local-gov, 276973, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 20, United-States, <=50K -30, Private, 161599, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 144064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 236391, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 224943, Assoc-voc, 11, Never-married, Sales, Other-relative, Black, Male, 0, 0, 65, United-States, <=50K -44, Private, 151294, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -52, Private, 68982, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Private, 241885, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 189461, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -19, Self-emp-not-inc, 36012, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 85355, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 157595, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 197286, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 362747, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 35, United-States, <=50K -24, Private, 395297, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -31, Self-emp-not-inc, 144949, Bachelors, 13, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -20, ?, 163665, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 141490, Assoc-voc, 11, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -29, Private, 147889, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 232808, 10th, 6, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -48, Private, 70668, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 50, United-States, <=50K -29, Federal-gov, 33315, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, ?, 63526, 12th, 8, Never-married, ?, Not-in-family, Black, Male, 0, 0, 52, United-States, <=50K -34, Private, 591711, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 48, ?, <=50K -22, Private, 200318, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -32, Private, 97723, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 40, United-States, <=50K -38, Private, 109231, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 102889, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 167106, HS-grad, 9, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K -35, Private, 182898, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -62, Private, 197918, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 67386, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 126592, HS-grad, 9, Separated, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 49469, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 99999, 0, 50, United-States, >50K -37, Self-emp-not-inc, 119929, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 158199, 1st-4th, 2, Widowed, Machine-op-inspct, Unmarried, White, Female, 0, 0, 44, Portugal, <=50K -35, Private, 341102, 9th, 5, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -55, Private, 101524, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 202872, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -25, Private, 195201, HS-grad, 9, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 50, United-States, <=50K -51, Private, 128272, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 263094, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -54, Self-emp-inc, 357596, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 55, United-States, >50K -47, Local-gov, 102628, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 171114, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 216414, Assoc-voc, 11, Married-spouse-absent, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 127753, 12th, 8, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 282698, 7th-8th, 4, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 80, United-States, <=50K -35, Private, 139364, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -36, Local-gov, 312785, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -18, Private, 92864, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -46, Local-gov, 175428, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 104223, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -29, Private, 144784, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -65, Private, 178934, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 20, Jamaica, <=50K -41, Private, 211253, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -34, Private, 133122, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 103540, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 172700, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 282484, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 323055, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -33, State-gov, 291494, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -28, Private, 214702, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 116055, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 2977, 0, 35, United-States, <=50K -32, Private, 226696, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -31, Private, 216827, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 153132, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -48, Private, 307440, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 45, Philippines, >50K -27, Private, 278122, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 122195, HS-grad, 9, Widowed, Craft-repair, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-not-inc, 156890, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 36877, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 10, United-States, <=50K -25, Private, 131178, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 23, United-States, <=50K -34, Self-emp-inc, 62396, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 62, United-States, >50K -33, Private, 73054, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 96844, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -22, Private, 324922, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 130684, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, <=50K -40, Private, 178983, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K -58, Private, 81038, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 12, United-States, <=50K -30, Private, 151967, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 58, United-States, <=50K -24, Private, 278107, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, <=50K -52, Self-emp-not-inc, 183146, 12th, 8, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 183638, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 247892, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 30, United-States, <=50K -22, Private, 221480, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 118551, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, ?, >50K -21, Private, 518530, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 193787, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 50, United-States, <=50K -34, Self-emp-inc, 157466, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -48, Private, 141511, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -61, ?, 158712, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K -21, Private, 252253, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 200450, 7th-8th, 4, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 52, United-States, <=50K -30, State-gov, 343789, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 277647, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -44, Private, 291566, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -29, Private, 151382, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 221167, Prof-school, 15, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -35, Private, 196178, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 302422, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 37379, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -37, Self-emp-not-inc, 82540, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K -33, Self-emp-not-inc, 182926, Bachelors, 13, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -44, Private, 159911, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 55, United-States, <=50K -34, Private, 212781, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Local-gov, 207213, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 5, United-States, <=50K -30, Private, 200192, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 45, United-States, <=50K -41, Local-gov, 180096, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 192812, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 105908, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 70, United-States, <=50K -48, Private, 373366, 1st-4th, 2, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3781, 0, 50, Mexico, <=50K -26, State-gov, 234190, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -32, Private, 260868, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -26, Private, 109097, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -36, Private, 171393, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 55, United-States, >50K -49, Private, 209146, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, ?, 289046, HS-grad, 9, Divorced, ?, Not-in-family, Black, Male, 0, 1741, 40, United-States, <=50K -54, Private, 172281, Masters, 14, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -36, Private, 73023, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -41, Private, 122626, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -27, Private, 113635, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -68, ?, 257269, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 2377, 35, United-States, >50K -21, ?, 191806, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 75, United-States, <=50K -56, ?, 35723, HS-grad, 9, Divorced, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 30759, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -46, Private, 105327, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, ?, 376058, 9th, 5, Never-married, ?, Own-child, White, Female, 0, 0, 45, United-States, <=50K -43, Private, 219307, 9th, 5, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 208067, HS-grad, 9, Divorced, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 78631, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -19, Private, 210308, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -67, Local-gov, 190661, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 7896, 0, 50, United-States, >50K -31, Private, 594187, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 228476, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -21, Private, 126613, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 30267, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 216811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 16, United-States, <=50K -62, Local-gov, 115763, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Local-gov, 199368, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 50, United-States, >50K -52, Private, 159755, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -39, Self-emp-not-inc, 188335, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 417668, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K -55, ?, 141807, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 13550, 0, 40, United-States, >50K -38, Private, 296317, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -36, Private, 164898, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 452406, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -27, Private, 42696, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 262994, Some-college, 10, Divorced, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 167298, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 103529, 11th, 7, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -47, Private, 97883, Bachelors, 13, Widowed, Priv-house-serv, Unmarried, White, Female, 25236, 0, 35, United-States, >50K -49, State-gov, 269417, Doctorate, 16, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 2258, 50, United-States, >50K -34, Private, 199539, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -19, ?, 39460, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 60, United-States, <=50K -79, Federal-gov, 62176, Doctorate, 16, Widowed, Exec-managerial, Not-in-family, White, Male, 0, 0, 6, United-States, >50K -28, State-gov, 239130, Some-college, 10, Divorced, Other-service, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 151089, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 331611, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -31, Self-emp-not-inc, 203463, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 151518, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Self-emp-inc, 39844, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 299635, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, Germany, <=50K -67, Private, 123393, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 209538, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -35, Self-emp-not-inc, 238802, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 499197, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 200220, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 114059, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -18, Private, 434430, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 185385, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 24, United-States, <=50K -22, Private, 225156, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 377931, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 48, United-States, <=50K -27, ?, 133359, Bachelors, 13, Married-spouse-absent, ?, Not-in-family, White, Male, 0, 0, 50, ?, <=50K -28, Private, 226891, Some-college, 10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 30, ?, <=50K -32, Private, 201988, Prof-school, 15, Married-civ-spouse, Sales, Husband, White, Male, 4508, 0, 40, ?, <=50K -40, Private, 287008, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 55, Germany, >50K -23, Private, 151910, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 1719, 40, United-States, <=50K -25, Private, 231714, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 178510, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 2258, 60, United-States, <=50K -43, Private, 178866, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, >50K -31, Private, 110643, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 55, United-States, >50K -33, Private, 148261, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 217902, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Self-emp-not-inc, 77207, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -32, ?, 377017, Assoc-acdm, 12, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -78, Private, 184759, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 1797, 0, 15, United-States, <=50K -64, Self-emp-inc, 80333, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 265086, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -55, ?, 102058, 12th, 8, Widowed, ?, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -20, Private, 333843, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 296478, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Local-gov, 116662, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 353298, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 50, United-States, >50K -42, Private, 142424, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Local-gov, 200808, 12th, 8, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, Puerto-Rico, <=50K -29, Private, 119052, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 168981, 1st-4th, 2, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K -44, Private, 151780, Some-college, 10, Widowed, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -70, Private, 237065, 5th-6th, 3, Widowed, Other-service, Other-relative, White, Female, 2346, 0, 40, ?, <=50K -25, Private, 509866, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 78, United-States, <=50K -24, State-gov, 249385, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 10, United-States, <=50K -42, State-gov, 109462, Bachelors, 13, Divorced, Adm-clerical, Unmarried, Black, Female, 2977, 0, 40, United-States, <=50K -53, Private, 250034, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 50, United-States, >50K -39, Private, 249720, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K -72, Self-emp-not-inc, 258761, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-inc, 64048, 9th, 5, Never-married, Sales, Own-child, White, Female, 0, 0, 44, Portugal, <=50K -25, State-gov, 153534, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 193815, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -27, Private, 255582, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 204527, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -64, Self-emp-not-inc, 159938, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 24, Italy, <=50K -29, Self-emp-not-inc, 229341, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -50, Private, 128143, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 175479, 5th-6th, 3, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -18, Private, 301814, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -20, Private, 238917, 11th, 7, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 32, Mexico, <=50K -32, Private, 205581, Some-college, 10, Separated, Tech-support, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -45, Private, 340341, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 147860, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 0, 40, United-States, <=50K -20, ?, 121023, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 259496, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Federal-gov, 190228, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1902, 48, United-States, >50K -43, Private, 180599, Bachelors, 13, Separated, Exec-managerial, Unmarried, White, Male, 8614, 0, 40, United-States, >50K -44, Private, 116358, Bachelors, 13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -47, Self-emp-not-inc, 180446, Some-college, 10, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 40, United-States, >50K -47, Private, 264244, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -46, Local-gov, 197988, 1st-4th, 2, Never-married, Other-service, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 20, United-States, <=50K -19, Private, 206599, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 313146, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 99212, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 340599, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 62932, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 44861, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 53893, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Self-emp-inc, 152810, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 45, United-States, >50K -47, Local-gov, 128401, Doctorate, 16, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 336951, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -60, Self-emp-not-inc, 95445, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3137, 0, 46, United-States, <=50K -43, Private, 54611, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 315984, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 50, United-States, >50K -28, Private, 210313, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -19, Private, 181020, 11th, 7, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -51, Self-emp-not-inc, 120781, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 99999, 0, 70, India, >50K -19, Private, 256979, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -64, Private, 47298, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -44, Private, 125461, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -21, Private, 209955, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -33, Private, 182246, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 76860, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -44, ?, 91949, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -44, Local-gov, 136986, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 35, United-States, >50K -28, Federal-gov, 183445, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 70, Puerto-Rico, <=50K -24, Private, 130741, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Federal-gov, 191878, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -21, ?, 233923, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 24, United-States, <=50K -20, Private, 48121, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 304302, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -34, Federal-gov, 284703, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 52, United-States, <=50K -17, Private, 401198, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -35, Private, 243357, 11th, 7, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 32276, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 110538, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -25, Private, 257310, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 411950, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 392668, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Self-emp-not-inc, 52498, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -36, Private, 223433, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -37, Private, 87076, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 224854, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 193379, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -54, Private, 98436, Masters, 14, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, ?, 116632, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 60, United-States, <=50K -65, Self-emp-inc, 210381, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 65, United-States, >50K -44, Private, 90688, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 45, Laos, <=50K -61, Private, 229744, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -29, Private, 59732, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -34, Private, 192900, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -24, State-gov, 90046, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -40, Private, 272960, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 42, United-States, >50K -42, Self-emp-inc, 152071, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Cuba, >50K -50, Private, 301583, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 171964, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 1602, 20, United-States, <=50K -49, Private, 315984, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 241962, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 131591, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 45, United-States, <=50K -70, Self-emp-inc, 207938, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 5, United-States, <=50K -51, Private, 53197, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 121023, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 287229, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -22, Private, 163911, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -31, Private, 191834, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 204734, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 220978, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 365739, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 50103, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 283293, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 194534, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 99999, 0, 60, United-States, >50K -19, Private, 263338, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -36, ?, 504871, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 348592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 44, United-States, <=50K -28, Private, 173944, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 226135, 9th, 5, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K -32, Private, 172375, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -57, Self-emp-inc, 127728, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -47, Private, 347025, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 191335, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K -21, Private, 247779, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 38, United-States, <=50K -25, State-gov, 262664, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 95855, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 74501, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -43, Private, 245317, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 29059, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 2754, 25, United-States, <=50K -56, Private, 200316, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K -35, Private, 198341, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -59, Private, 100453, 7th-8th, 4, Separated, Other-service, Own-child, Black, Female, 0, 0, 38, United-States, <=50K -44, Self-emp-not-inc, 343190, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 55, United-States, >50K -47, Private, 235683, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 83237, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -64, Private, 88470, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 198801, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 168107, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 196193, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -30, ?, 205418, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -46, Private, 695411, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -45, Self-emp-inc, 139268, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Federal-gov, 192771, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -59, Self-emp-inc, 122390, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 48, United-States, >50K -65, Self-emp-inc, 184965, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -23, Private, 180837, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 159548, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -34, Private, 110554, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 103474, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 178249, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -21, Private, 138768, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 321824, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 8, United-States, <=50K -35, Private, 244803, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Peru, <=50K -62, Local-gov, 206063, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 167651, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -69, State-gov, 163689, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K -19, Self-emp-not-inc, 45546, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -47, Private, 420986, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Self-emp-inc, 68015, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 90, United-States, >50K -54, Private, 175594, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, ?, 148673, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, <=50K -30, Private, 206322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 73, United-States, >50K -39, Private, 272338, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 25, United-States, <=50K -73, Private, 105886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 1173, 0, 75, United-States, <=50K -64, Private, 312498, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 177675, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 152810, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 319122, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 212304, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 208321, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 1740, 40, United-States, <=50K -39, Private, 240841, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -49, Private, 208978, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -23, Local-gov, 442359, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K -28, Private, 198197, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -46, Private, 261059, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -40, Private, 72791, Some-college, 10, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -24, Private, 275395, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, ?, 195767, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 462966, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 8, El-Salvador, <=50K -24, ?, 265434, Bachelors, 13, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 31269, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Local-gov, 246291, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -54, Federal-gov, 128378, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 231180, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Local-gov, 206297, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Self-emp-inc, 337050, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 193075, HS-grad, 9, Divorced, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -33, Local-gov, 169652, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Male, 0, 1669, 55, United-States, <=50K -35, Private, 35945, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -20, ?, 141453, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -36, Private, 252231, Preschool, 1, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, Puerto-Rico, <=50K -30, Private, 128016, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -39, Private, 150057, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -25, Private, 258276, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -40, Private, 188465, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -25, Self-emp-inc, 161007, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 403468, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Mexico, <=50K -53, Federal-gov, 181677, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 120243, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -41, Private, 157025, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 306908, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -66, Self-emp-not-inc, 28061, 7th-8th, 4, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -53, Private, 95540, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 1471, 0, 40, United-States, <=50K -27, Private, 135001, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 293398, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 185106, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 245790, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -26, Private, 134004, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 205036, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -26, Private, 244495, 9th, 5, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -38, Private, 159179, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 405155, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -34, Private, 177437, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K -32, Federal-gov, 402361, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 184553, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 302626, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 99138, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -39, Private, 112731, HS-grad, 9, Divorced, Other-service, Not-in-family, Other, Female, 0, 0, 40, Dominican-Republic, <=50K -35, Private, 192923, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2377, 40, United-States, <=50K -18, Private, 761006, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -75, ?, 125784, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -28, Private, 182344, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 117012, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -39, Federal-gov, 30673, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Federal-gov, 484669, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, State-gov, 314052, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -43, State-gov, 38537, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 38, ?, <=50K -27, Private, 165412, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 198341, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1902, 55, India, >50K -46, Private, 116635, Bachelors, 13, Separated, Prof-specialty, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -20, Private, 185452, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 118686, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -69, Private, 76939, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Federal-gov, 160646, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 35, United-States, <=50K -49, State-gov, 126754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K -20, Private, 211049, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K -52, Private, 311931, 5th-6th, 3, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, El-Salvador, <=50K -33, Private, 283602, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 59, Mexico, <=50K -18, Private, 155021, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 6, United-States, <=50K -55, Self-emp-not-inc, 100569, HS-grad, 9, Separated, Farming-fishing, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -61, Private, 380462, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -61, Federal-gov, 221943, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 9386, 0, 40, United-States, >50K -39, Private, 114544, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, >50K -30, Private, 248584, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 227468, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -36, Private, 66173, Assoc-acdm, 12, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 15, United-States, <=50K -34, Private, 107624, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -53, Private, 70387, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 4386, 0, 40, India, >50K -38, Private, 423616, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 36, United-States, >50K -46, Private, 98637, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -27, Local-gov, 216013, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 210926, 11th, 7, Separated, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, Nicaragua, <=50K -60, Local-gov, 255711, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 60, United-States, >50K -23, Private, 77581, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 152461, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 14344, 0, 50, United-States, >50K -22, Private, 203263, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 261519, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 91189, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -90, Federal-gov, 195433, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, United-States, <=50K -37, Local-gov, 272471, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 311524, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 38, United-States, <=50K -18, Private, 151386, HS-grad, 9, Married-spouse-absent, Other-service, Own-child, Black, Male, 0, 0, 40, Jamaica, <=50K -35, Private, 187625, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -50, Private, 108933, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 40, United-States, <=50K -54, Private, 135388, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -43, Private, 169383, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Self-emp-inc, 191129, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, >50K -51, Private, 467611, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -31, Private, 373185, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 42, Mexico, <=50K -69, Private, 130060, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 2387, 0, 40, United-States, <=50K -57, Private, 199934, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -71, ?, 116165, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 14, Canada, <=50K -28, Private, 42881, 10th, 6, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, ?, 174666, 10th, 6, Separated, ?, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -25, Private, 169759, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 95, United-States, <=50K -49, Self-emp-not-inc, 181547, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 30, Columbia, <=50K -52, Private, 95704, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 237432, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -32, Private, 226267, 5th-6th, 3, Married-spouse-absent, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -31, Private, 159979, Some-college, 10, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K -30, Private, 203488, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 403671, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 192323, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 66, Yugoslavia, <=50K -30, Private, 167832, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 145166, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -42, State-gov, 155657, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K -49, Private, 116789, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 39234, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -25, Private, 124111, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 172828, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 55, Outlying-US(Guam-USVI-etc), <=50K -55, Private, 143372, HS-grad, 9, Divorced, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 265807, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 50, United-States, <=50K -25, State-gov, 218184, Bachelors, 13, Never-married, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -32, Private, 154087, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Federal-gov, 440647, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 193952, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, ?, <=50K -52, Private, 125932, 7th-8th, 4, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 284652, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -21, ?, 214635, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 24, United-States, <=50K -43, Private, 173316, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 65390, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, <=50K -40, Self-emp-inc, 45054, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 185042, 1st-4th, 2, Separated, Priv-house-serv, Other-relative, White, Female, 0, 0, 40, Mexico, <=50K -35, Private, 117381, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 258666, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K -35, Private, 179668, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 127277, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Taiwan, >50K -26, Private, 192022, Bachelors, 13, Never-married, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 99551, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -51, Private, 208899, Bachelors, 13, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 287658, Assoc-acdm, 12, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 30, Jamaica, <=50K -31, Private, 196125, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 275051, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K -38, Private, 23892, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -39, Federal-gov, 376455, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K -29, Private, 267989, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -39, Private, 30269, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 204235, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -46, Local-gov, 209057, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -73, Private, 349347, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 25, United-States, <=50K -47, Local-gov, 154033, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 1876, 40, United-States, <=50K -28, Private, 124680, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 70, United-States, <=50K -27, Private, 132805, 10th, 6, Never-married, Sales, Other-relative, White, Male, 0, 1980, 40, United-States, <=50K -38, Private, 99233, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -19, Private, 224849, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -60, Local-gov, 101110, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, >50K -24, Private, 184839, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 302847, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 181322, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -26, Local-gov, 192213, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Canada, <=50K -28, State-gov, 37250, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 16, United-States, <=50K -38, Self-emp-inc, 140854, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Private, 158286, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Private, 269095, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K -27, Private, 279960, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 176239, Some-college, 10, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 115360, 10th, 6, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 3464, 0, 40, United-States, <=50K -49, Private, 337666, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -68, ?, 255276, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 48, United-States, >50K -63, Private, 145212, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 185099, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, >50K -42, Private, 142756, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -28, Private, 156300, Masters, 14, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 45, United-States, <=50K -68, ?, 186266, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 8, United-States, <=50K -38, Private, 219137, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 22, United-States, <=50K -43, Private, 110970, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -49, Private, 203067, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 148844, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 154941, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 124111, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -59, Private, 157303, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -34, Private, 113838, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, Private, 165737, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 43, India, >50K -67, Private, 140849, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 24, United-States, <=50K -45, Private, 200363, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -64, Private, 180247, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -51, Private, 82578, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, Canada, >50K -31, Private, 227146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -42, Self-emp-inc, 348886, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -65, Private, 90907, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -23, Private, 142766, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 246439, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 184784, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Local-gov, 195262, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -63, Private, 167967, Masters, 14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K -48, Private, 145636, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, >50K -45, Local-gov, 170099, Assoc-acdm, 12, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -17, Private, 228253, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -26, Local-gov, 205570, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Federal-gov, 506830, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 412435, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K -44, Private, 163331, Some-college, 10, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -43, Federal-gov, 222756, Masters, 14, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 318918, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 105188, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, Haiti, <=50K -23, Private, 199884, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -19, Private, 96483, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 192203, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, <=50K -52, Private, 203392, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, United-States, <=50K -32, Private, 99646, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, Private, 167440, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 4508, 0, 40, United-States, <=50K -25, ?, 210095, 5th-6th, 3, Never-married, ?, Unmarried, White, Female, 0, 0, 25, El-Salvador, <=50K -44, Private, 219591, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 30270, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 226020, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 60, ?, <=50K -21, Private, 314165, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, Columbia, <=50K -32, Private, 330715, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Self-emp-not-inc, 35448, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -50, State-gov, 172970, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -26, Self-emp-inc, 189502, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K -35, Private, 61518, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, <=50K -31, Private, 574005, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -24, Private, 281356, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 66, Mexico, <=50K -40, Private, 138975, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, <=50K -31, Private, 176969, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -43, Private, 132393, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, Poland, <=50K -44, Private, 194924, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, >50K -40, Private, 478205, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -75, ?, 128224, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -52, Local-gov, 30118, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 3137, 0, 42, United-States, <=50K -51, Self-emp-not-inc, 290688, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 85566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 121874, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -40, Self-emp-not-inc, 29036, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -33, Private, 348152, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Local-gov, 73715, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -29, Private, 151382, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 236359, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -37, Private, 19899, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 45, United-States, >50K -19, Private, 138760, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Local-gov, 354962, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 181363, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 393360, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -34, Private, 210736, Some-college, 10, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, ?, <=50K -38, Private, 110013, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -26, Private, 193304, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 118551, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -57, Private, 201991, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 157446, 11th, 7, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -26, Local-gov, 283217, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 247794, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 84, United-States, <=50K -38, Private, 43712, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, United-States, >50K -61, Private, 35649, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 6, United-States, <=50K -36, Self-emp-not-inc, 342719, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, >50K -61, ?, 71467, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 3103, 0, 40, United-States, >50K -17, Private, 271837, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 16, United-States, <=50K -40, Private, 400061, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Other, Male, 0, 0, 40, United-States, >50K -18, Private, 62972, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -21, Private, 174907, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K -41, Private, 176452, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Peru, <=50K -46, Private, 268358, 11th, 7, Separated, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Federal-gov, 176904, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 176683, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -39, Private, 98077, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 42, United-States, <=50K -36, Private, 266461, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 48, United-States, <=50K -51, Private, 312477, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 3908, 0, 40, United-States, <=50K -27, Private, 604045, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Local-gov, 131568, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 97688, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 47, United-States, <=50K -23, Private, 373628, Bachelors, 13, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -56, Private, 367984, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -41, Self-emp-not-inc, 193459, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -49, Private, 250733, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 46, United-States, <=50K -46, Federal-gov, 199725, Assoc-voc, 11, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 60, United-States, <=50K -54, Private, 156877, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Greece, <=50K -38, Private, 122076, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 43, United-States, >50K -45, Self-emp-not-inc, 216402, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K -50, Self-emp-not-inc, 42402, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 30, United-States, >50K -22, Private, 315974, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 63437, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Ireland, <=50K -27, Private, 160786, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 85374, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 465974, 11th, 7, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 78529, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -36, State-gov, 98037, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -22, Private, 178390, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 210940, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 2002, 45, United-States, <=50K -43, Private, 64506, Some-college, 10, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -54, Private, 128378, Some-college, 10, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 234460, 9th, 5, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, Dominican-Republic, <=50K -29, Private, 176760, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 55, United-States, <=50K -40, State-gov, 59460, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -18, Private, 234428, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -31, Private, 215047, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -57, Private, 140426, Doctorate, 16, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 40, Germany, >50K -32, Private, 191777, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 148995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 229773, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -24, Private, 174461, Assoc-acdm, 12, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 22, United-States, <=50K -24, Private, 250647, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -49, Local-gov, 119904, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 30, United-States, >50K -27, Self-emp-not-inc, 151402, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1573, 70, United-States, <=50K -37, Private, 184556, Some-college, 10, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 263561, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 177945, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K -45, Private, 306889, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -54, Local-gov, 54377, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 144351, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 625, 40, United-States, <=50K -22, Private, 95566, Some-college, 10, Married-spouse-absent, Sales, Own-child, Other, Female, 0, 0, 22, Dominican-Republic, <=50K -20, Private, 181675, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 172129, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, ?, 350759, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 105592, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -20, ?, 200061, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, ?, <=50K -34, Self-emp-inc, 200689, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 386726, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 44, United-States, >50K -28, Local-gov, 135567, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 4101, 0, 60, United-States, <=50K -38, Local-gov, 282753, Assoc-voc, 11, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 137367, 11th, 7, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -35, Self-emp-inc, 153976, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -51, Self-emp-inc, 96062, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -33, Private, 152933, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -71, Private, 97870, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, Germany, <=50K -48, Private, 254291, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Self-emp-not-inc, 101432, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 125776, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -64, Self-emp-not-inc, 165479, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 5, United-States, <=50K -42, Federal-gov, 172307, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 48, United-States, >50K -25, Private, 176729, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -66, Private, 174276, Some-college, 10, Widowed, Sales, Unmarried, White, Female, 0, 0, 50, United-States, >50K -59, Federal-gov, 48102, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, ?, >50K -42, Self-emp-not-inc, 79531, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -24, Private, 306460, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 55284, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 172063, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K -22, Private, 141028, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -33, Private, 37274, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, Private, 31389, 11th, 7, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 12, United-States, <=50K -20, Private, 415913, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -33, Private, 295591, 5th-6th, 3, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -57, ?, 202903, 7th-8th, 4, Married-civ-spouse, ?, Wife, White, Female, 1173, 0, 45, Puerto-Rico, <=50K -56, Private, 159770, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -70, Self-emp-not-inc, 268832, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 24, United-States, >50K -42, Private, 126003, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -25, Local-gov, 225193, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 297735, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -80, Self-emp-not-inc, 225892, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 1409, 0, 40, United-States, <=50K -36, Private, 605502, 10th, 6, Never-married, Transport-moving, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 174150, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 165466, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, >50K -52, State-gov, 189728, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -49, Private, 360491, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 115040, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 262688, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 7688, 0, 50, United-States, >50K -70, Self-emp-inc, 158437, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, >50K -55, Private, 41108, Some-college, 10, Widowed, Farming-fishing, Not-in-family, White, Male, 0, 2258, 62, United-States, >50K -25, Private, 149875, Bachelors, 13, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 131916, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Italy, >50K -22, Private, 60668, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 153132, Assoc-acdm, 12, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 155256, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -54, Private, 244770, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 312108, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -52, Private, 102828, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -36, Private, 93225, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -74, Self-emp-inc, 231002, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K -35, Self-emp-not-inc, 256992, 5th-6th, 3, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 15, Mexico, <=50K -41, Private, 118721, 12th, 8, Divorced, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -30, Private, 151989, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 109112, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -35, Private, 589809, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 13550, 0, 60, United-States, >50K -38, Private, 172538, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -34, State-gov, 318982, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1848, 40, United-States, >50K -48, Private, 204629, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Self-emp-not-inc, 99894, 5th-6th, 3, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 15, United-States, <=50K -19, Private, 369463, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 79324, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 61178, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 204226, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 183110, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 16, United-States, <=50K -42, Private, 96321, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Private, 167031, Some-college, 10, Never-married, Other-service, Other-relative, Other, Female, 0, 0, 25, Ecuador, <=50K -36, Private, 108997, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -65, Private, 176796, Doctorate, 16, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 134737, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, United-States, >50K -33, Self-emp-inc, 49795, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -32, State-gov, 131588, Some-college, 10, Never-married, Tech-support, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -25, Private, 307643, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 351350, Some-college, 10, Divorced, Protective-serv, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 260761, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -72, Private, 156310, 10th, 6, Married-civ-spouse, Other-service, Husband, White, Male, 2414, 0, 12, United-States, <=50K -36, Private, 207789, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -67, Self-emp-not-inc, 252842, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 1797, 0, 20, United-States, <=50K -28, Private, 294936, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 4064, 0, 45, United-States, <=50K -24, Private, 196269, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male, 0, 0, 40, United-States, <=50K -17, Private, 46402, 7th-8th, 4, Never-married, Sales, Own-child, White, Male, 0, 0, 8, United-States, <=50K -32, Self-emp-not-inc, 267161, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -67, Private, 160456, 11th, 7, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, ?, 123983, Some-college, 10, Never-married, ?, Other-relative, Asian-Pac-Islander, Male, 0, 0, 10, Vietnam, <=50K -51, Private, 123053, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 5013, 0, 40, India, <=50K -32, Private, 426467, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 3674, 0, 40, Guatemala, <=50K -39, Private, 269323, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Self-emp-not-inc, 42857, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -50, Self-emp-not-inc, 183915, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 211391, 10th, 6, Never-married, Sales, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -21, Local-gov, 193130, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 86745, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 16, United-States, <=50K -34, Private, 226525, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -68, ?, 270339, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K -49, Self-emp-not-inc, 343742, 10th, 6, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 32, United-States, <=50K -50, Private, 150975, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -33, Private, 207301, Assoc-acdm, 12, Divorced, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 135924, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 184277, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, >50K -20, Private, 142233, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -46, Self-emp-inc, 120902, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3103, 0, 37, United-States, >50K -64, Local-gov, 158412, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 126161, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 149347, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -21, Private, 322674, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 32, United-States, <=50K -29, Private, 55390, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -38, State-gov, 200904, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 30, United-States, >50K -45, Private, 166056, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 116666, Masters, 14, Divorced, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 50, India, >50K -41, Private, 168324, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -37, Private, 121772, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K -45, Private, 126889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 60, United-States, >50K -20, ?, 401690, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -45, Self-emp-inc, 117605, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -20, Federal-gov, 410446, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -63, Self-emp-inc, 38472, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 14084, 0, 60, United-States, >50K -35, Self-emp-not-inc, 335704, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 70261, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 47577, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 117767, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 179641, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -23, ?, 343553, 11th, 7, Never-married, ?, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 328466, 5th-6th, 3, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, Mexico, >50K -46, Private, 265097, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 5, United-States, <=50K -38, Local-gov, 414791, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -55, Local-gov, 48055, 12th, 8, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 341672, Some-college, 10, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -48, Private, 266764, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Private, 233571, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 50, United-States, <=50K -53, Private, 126592, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 7688, 0, 40, United-States, >50K -47, Private, 70754, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 138852, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 4650, 0, 22, United-States, <=50K -32, Private, 175856, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 193494, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 46, United-States, <=50K -41, Private, 104334, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Federal-gov, 197332, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 205844, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 25, United-States, <=50K -45, Local-gov, 206459, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K -33, Private, 202822, 7th-8th, 4, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 14, Trinadad&Tobago, <=50K -68, Without-pay, 174695, Some-college, 10, Married-spouse-absent, Farming-fishing, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -44, Private, 183342, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -49, Private, 105614, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 329603, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Poland, >50K -41, Private, 77373, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1848, 65, United-States, >50K -29, Private, 207473, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Mexico, <=50K -46, Private, 149161, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, ?, <=50K -19, Private, 311974, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 25, Mexico, <=50K -56, Private, 175127, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 111625, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Private, 48895, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 27049, HS-grad, 9, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -38, Private, 108907, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, ?, <=50K -52, Private, 94988, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 218343, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 227626, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 60, United-States, <=50K -31, Private, 272856, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 50, England, <=50K -39, Private, 30916, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 276229, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 289106, Assoc-acdm, 12, Separated, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 39100, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 5, United-States, <=50K -45, Private, 192776, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 55, United-States, >50K -61, Private, 147280, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -18, Private, 187770, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -51, State-gov, 213296, Bachelors, 13, Widowed, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 107410, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 170272, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 86808, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K -48, Private, 149210, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 45, United-States, <=50K -62, Private, 123411, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 53, United-States, <=50K -21, ?, 306779, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 487347, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 283945, 10th, 6, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 1602, 45, United-States, <=50K -20, Private, 375698, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -41, Private, 271753, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 251854, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 264052, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -43, State-gov, 28451, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K -20, Private, 282604, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -29, Private, 185908, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 55, United-States, >50K -51, Federal-gov, 198186, Bachelors, 13, Widowed, Prof-specialty, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 242521, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 337940, 5th-6th, 3, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 212064, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 129263, HS-grad, 9, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -68, Local-gov, 144761, HS-grad, 9, Widowed, Protective-serv, Not-in-family, White, Male, 0, 1668, 20, United-States, <=50K -42, Private, 109912, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -41, Private, 113324, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 187795, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -20, Private, 173724, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 185129, Bachelors, 13, Divorced, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 73134, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 60, United-States, >50K -45, Private, 236040, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 74194, HS-grad, 9, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 102130, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 140915, Some-college, 10, Never-married, Sales, Other-relative, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K -69, ?, 107575, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 2964, 0, 35, United-States, <=50K -38, State-gov, 34364, Masters, 14, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 258037, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, Cuba, >50K -18, Private, 391585, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 233130, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Mexico, <=50K -30, Private, 101345, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 3103, 0, 55, United-States, >50K -23, ?, 32897, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 248612, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 30, United-States, <=50K -37, Private, 212465, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 198587, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Female, 2174, 0, 50, United-States, <=50K -33, Private, 405913, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Peru, >50K -37, Private, 588003, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -31, Private, 46807, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 210498, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K -35, Private, 206951, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Self-emp-not-inc, 237466, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 30, United-States, >50K -59, Private, 279636, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, Guatemala, <=50K -42, Private, 29320, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 271262, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -27, ?, 29361, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -32, Private, 76773, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 109004, HS-grad, 9, Separated, Craft-repair, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -43, Private, 226902, Bachelors, 13, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 176552, 11th, 7, Divorced, Prof-specialty, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, >50K -41, Private, 182303, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -59, Local-gov, 296253, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 8614, 0, 60, United-States, >50K -20, Private, 218215, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -57, Private, 165695, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K -46, Self-emp-not-inc, 51271, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4386, 0, 70, United-States, <=50K -45, Private, 96100, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Local-gov, 82393, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, Asian-Pac-Islander, Male, 0, 1590, 45, United-States, <=50K -23, Private, 248978, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -46, Private, 254367, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 1590, 48, United-States, <=50K -55, ?, 200235, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -58, Private, 94429, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 87282, Assoc-voc, 11, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -29, Private, 119793, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -57, ?, 85815, HS-grad, 9, Divorced, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -26, Local-gov, 197764, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 306982, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -61, Private, 80896, HS-grad, 9, Separated, Transport-moving, Unmarried, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K -31, Private, 197886, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 45, United-States, >50K -43, Private, 355728, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 121124, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 15024, 0, 50, United-States, >50K -51, State-gov, 193720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 56, United-States, >50K -23, Private, 347292, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 34506, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 326370, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, ?, <=50K -22, ?, 269221, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 63509, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 148254, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 16, United-States, >50K -33, Private, 190511, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -46, Private, 268022, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, ?, >50K -18, Private, 20057, 7th-8th, 4, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -52, Private, 206862, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 189498, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 45, United-States, >50K -28, Private, 166320, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 289886, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, Vietnam, <=50K -23, ?, 86337, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -45, Local-gov, 54190, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -17, Private, 147069, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -56, Private, 282023, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Self-emp-inc, 379485, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -81, Private, 129338, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K -22, Private, 99829, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -43, State-gov, 182254, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 109428, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 1740, 40, United-States, <=50K -42, Self-emp-not-inc, 351161, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -66, ?, 210750, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, <=50K -50, Private, 132716, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 242984, Some-college, 10, Separated, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 101509, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, ?, 509629, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 35, United-States, <=50K -36, Private, 119957, Bachelors, 13, Separated, Other-service, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -33, Private, 69727, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -36, Private, 204590, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 213, 40, United-States, <=50K -37, ?, 50862, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 55, United-States, <=50K -50, Private, 182907, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -55, Private, 206487, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 168015, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 149396, Some-college, 10, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 30, Haiti, <=50K -39, Federal-gov, 184964, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -34, Private, 398988, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 128777, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -60, Private, 252413, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 32, United-States, >50K -33, Private, 181372, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -58, Private, 216851, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, El-Salvador, <=50K -27, Private, 106935, Some-college, 10, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, State-gov, 363875, Some-college, 10, Divorced, Protective-serv, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -63, Private, 287277, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 172342, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 308498, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 15, United-States, <=50K -29, Private, 122127, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 8614, 0, 40, United-States, >50K -31, Private, 106437, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, >50K -49, Self-emp-inc, 306289, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Self-emp-inc, 201699, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -42, Private, 282062, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 235108, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 339482, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 181820, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 99335, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 367533, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2580, 0, 40, United-States, <=50K -57, Private, 64960, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 45, United-States, <=50K -50, Private, 269095, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 58683, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -35, Self-emp-not-inc, 89508, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3908, 0, 60, United-States, <=50K -19, Private, 100999, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -18, Private, 34125, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 28, United-States, <=50K -20, Private, 115057, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 139126, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 104632, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K -40, Federal-gov, 178866, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -54, Private, 139850, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K -28, Private, 61435, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 309230, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 45613, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 272615, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 54318, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 165519, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 48495, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -38, Private, 143123, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -67, Self-emp-not-inc, 431426, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 20051, 0, 4, United-States, >50K -75, Private, 256474, Masters, 14, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 16, United-States, <=50K -41, Private, 191451, Masters, 14, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, >50K -37, Private, 99146, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -47, Private, 235986, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 50, Cuba, <=50K -34, Local-gov, 429897, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Mexico, >50K -25, Private, 189897, HS-grad, 9, Married-civ-spouse, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 145155, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, State-gov, 192257, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 2174, 0, 40, United-States, <=50K -35, Private, 194960, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, Other, Male, 0, 0, 40, Puerto-Rico, <=50K -44, Local-gov, 357814, 12th, 8, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 35, Mexico, <=50K -27, Local-gov, 137629, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, >50K -42, Private, 156526, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 33, United-States, <=50K -26, Private, 189238, 9th, 5, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, El-Salvador, <=50K -23, Private, 202989, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, Canada, <=50K -28, Private, 25684, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 192939, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 138692, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 222249, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 201318, 9th, 5, Married-civ-spouse, Exec-managerial, Other-relative, White, Male, 3411, 0, 50, Columbia, <=50K -23, ?, 190650, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 35, United-States, <=50K -30, Private, 56004, Some-college, 10, Never-married, Exec-managerial, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 182313, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 138962, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 72, ?, <=50K -38, Private, 277248, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Cuba, >50K -24, Private, 125031, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -47, State-gov, 216414, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 171176, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 48, ?, <=50K -29, Private, 356133, Some-college, 10, Never-married, Prof-specialty, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 185397, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 308285, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 56651, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 154863, 9th, 5, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, Trinadad&Tobago, >50K -46, Federal-gov, 44706, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 50, United-States, >50K -34, ?, 222548, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 4, United-States, <=50K -32, Private, 248754, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 104981, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 315065, Some-college, 10, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K -46, Private, 188325, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 221661, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 35, United-States, <=50K -59, Private, 81973, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -31, Private, 169122, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -48, Private, 216734, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 98101, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 292511, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -20, Private, 122971, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 124953, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K -54, Private, 123011, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 76417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, <=50K -43, Private, 351576, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -46, Federal-gov, 33794, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 3103, 0, 40, United-States, >50K -33, Private, 79923, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Private, 117983, 10th, 6, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -36, Private, 186110, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 187589, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5178, 0, 40, United-States, >50K -37, ?, 319685, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 54, United-States, >50K -64, ?, 64101, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, <=50K -45, Self-emp-not-inc, 162923, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 288519, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 33798, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 195734, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 2354, 0, 40, United-States, <=50K -23, Private, 214120, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 113515, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Self-emp-not-inc, 261230, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 98515, Assoc-voc, 11, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 187715, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, ?, 214238, 7th-8th, 4, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -32, Private, 123964, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 50, United-States, <=50K -26, Private, 68991, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 292110, 5th-6th, 3, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 198320, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -33, Private, 709798, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -60, Private, 372838, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 160402, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -45, Private, 98475, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -37, Local-gov, 97136, Some-college, 10, Married-spouse-absent, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 136985, Assoc-acdm, 12, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 187356, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 66, United-States, <=50K -46, State-gov, 107231, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1740, 40, United-States, <=50K -20, Private, 305874, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 290922, Masters, 14, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 248254, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 40, United-States, >50K -38, Private, 160808, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 4386, 0, 48, United-States, <=50K -36, Private, 247321, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 247651, 7th-8th, 4, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 56, United-States, <=50K -29, Private, 214702, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1974, 35, United-States, <=50K -64, Private, 75577, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 2580, 0, 50, United-States, <=50K -34, Private, 561334, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -36, ?, 224886, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 401134, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 258170, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -68, ?, 141181, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, <=50K -37, Private, 292370, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 50, ?, >50K -22, Private, 300871, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 136721, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 140399, Some-college, 10, Never-married, ?, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -36, Private, 109133, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 186534, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -25, Private, 226891, Assoc-voc, 11, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K -33, Private, 241885, Some-college, 10, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 97165, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 212918, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -24, Private, 211585, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Local-gov, 178309, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-inc, 481987, 10th, 6, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 215211, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Local-gov, 194901, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -44, Private, 340885, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1977, 40, United-States, >50K -33, Local-gov, 190290, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 56, United-States, <=50K -26, Private, 188569, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -22, Private, 162282, Assoc-voc, 11, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 287315, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -31, Self-emp-inc, 304212, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 45, United-States, <=50K -73, ?, 200878, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -38, Local-gov, 256864, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 46401, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 37778, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 191722, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 54, United-States, >50K -64, Self-emp-not-inc, 103643, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 15, United-States, >50K -24, Private, 143766, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 55, United-States, <=50K -21, State-gov, 204425, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 20, United-States, <=50K -28, Private, 156257, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -18, ?, 113185, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -41, Self-emp-inc, 112262, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 28031, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 16, United-States, <=50K -58, Private, 320102, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -50, Self-emp-not-inc, 334273, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 8, United-States, <=50K -30, Private, 356015, 11th, 7, Married-spouse-absent, Handlers-cleaners, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, Mexico, <=50K -47, Private, 278900, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 142528, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -50, Federal-gov, 343014, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, <=50K -29, Private, 201017, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, Scotland, <=50K -31, Self-emp-not-inc, 81030, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Self-emp-not-inc, 34007, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K -31, Private, 29662, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -53, Private, 347446, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Private, 90668, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 190403, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Private, 109015, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 50, United-States, >50K -38, Private, 234807, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -18, Private, 157131, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -50, Private, 94081, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -78, Private, 135566, HS-grad, 9, Widowed, Sales, Unmarried, White, Female, 2329, 0, 12, United-States, <=50K -27, Private, 103164, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 570002, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -24, State-gov, 215797, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 289405, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 1602, 15, United-States, <=50K -25, Private, 239461, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 101510, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -30, Self-emp-inc, 443546, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -37, Federal-gov, 141029, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 207202, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K -67, Without-pay, 137192, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 12, Philippines, <=50K -35, Private, 222989, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -75, Self-emp-not-inc, 36325, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 73394, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 249046, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Federal-gov, 100653, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -42, Local-gov, 1125613, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 101352, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 32, United-States, >50K -54, Private, 340476, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 192711, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 273362, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 100451, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 38, United-States, >50K -35, Private, 85399, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Local-gov, 168191, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K -27, Private, 153475, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 196773, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K -41, Private, 180138, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 48347, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 175071, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 15024, 0, 40, United-States, >50K -66, ?, 129476, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -25, Private, 181772, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 284317, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -20, Private, 237305, Some-college, 10, Never-married, Machine-op-inspct, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -67, Self-emp-inc, 111321, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 16, United-States, <=50K -44, Private, 278476, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -42, Private, 39060, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -29, Local-gov, 205262, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 40, Ecuador, <=50K -48, Private, 198000, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Female, 0, 0, 38, United-States, >50K -25, Private, 397962, HS-grad, 9, Never-married, Adm-clerical, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 178370, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 99, United-States, >50K -48, Private, 121253, Bachelors, 13, Married-spouse-absent, Sales, Unmarried, White, Female, 0, 2472, 70, United-States, >50K -40, Private, 56072, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 176756, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 60374, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -52, Private, 165681, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Self-emp-not-inc, 287037, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Self-emp-not-inc, 55568, Bachelors, 13, Married-civ-spouse, Farming-fishing, Wife, White, Female, 0, 0, 50, United-States, <=50K -48, Private, 155509, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 16, Trinadad&Tobago, <=50K -19, Private, 201178, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -27, Private, 37250, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1651, 40, United-States, <=50K -59, Private, 314149, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K -19, Private, 264593, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 159589, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 454915, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 285131, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 150057, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 55390, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 314894, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 45, United-States, <=50K -59, ?, 184948, Assoc-voc, 11, Divorced, ?, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -25, Local-gov, 124483, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K -37, Self-emp-inc, 97986, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 68, United-States, <=50K -31, Private, 210562, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -24, Private, 233280, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 37, United-States, <=50K -53, Local-gov, 164300, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, Dominican-Republic, <=50K -26, Private, 227489, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, ?, <=50K -25, Private, 263773, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -59, Private, 96459, 11th, 7, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Federal-gov, 116608, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 180007, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 305466, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 238917, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, El-Salvador, <=50K -25, Private, 129784, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 367390, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 235691, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -63, ?, 166425, Some-college, 10, Widowed, ?, Not-in-family, Black, Female, 0, 0, 24, United-States, <=50K -43, Self-emp-not-inc, 160369, 10th, 6, Divorced, Farming-fishing, Unmarried, White, Male, 0, 0, 25, United-States, <=50K -39, Private, 206298, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 183523, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 217342, 10th, 6, Never-married, Sales, Own-child, White, Female, 0, 0, 5, United-States, <=50K -40, State-gov, 141858, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 72, United-States, <=50K -50, Private, 213296, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -23, Self-emp-inc, 201682, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -60, Private, 178312, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 65, United-States, >50K -30, Private, 269723, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 200593, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 32616, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -24, Private, 259510, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5013, 0, 30, United-States, <=50K -45, Self-emp-not-inc, 271828, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -58, Self-emp-inc, 78104, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K -22, Private, 113703, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 187802, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 440706, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 191834, HS-grad, 9, Divorced, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 149184, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -49, Self-emp-inc, 315998, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -30, Private, 159589, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -38, Private, 60313, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -58, Local-gov, 32855, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -58, Private, 142326, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -61, Self-emp-not-inc, 201965, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 172333, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 40, United-States, >50K -32, Private, 206541, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Self-emp-not-inc, 177828, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 303440, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -22, Private, 89991, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 11, United-States, <=50K -35, Private, 186009, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 170988, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -45, Self-emp-inc, 180239, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 7688, 0, 40, ?, >50K -50, Self-emp-not-inc, 213654, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-inc, 32316, 12th, 8, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 150371, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 387871, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 314649, Some-college, 10, Married-civ-spouse, Sales, Husband, Amer-Indian-Eskimo, Male, 0, 0, 60, United-States, <=50K -42, Private, 240255, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -60, Private, 206339, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 230168, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 91, United-States, <=50K -42, Private, 171424, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 7298, 0, 45, United-States, >50K -36, Private, 148581, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -52, Local-gov, 89705, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Self-emp-not-inc, 248406, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Local-gov, 72594, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K -31, Local-gov, 137537, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 225065, 5th-6th, 3, Separated, Sales, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -35, Private, 217274, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -19, Private, 69151, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -59, Self-emp-not-inc, 81107, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 80, United-States, >50K -38, Private, 205852, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 201117, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 397307, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -39, Private, 115422, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -64, Private, 114994, Some-college, 10, Separated, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, Local-gov, 39815, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -49, Private, 151584, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 32, United-States, <=50K -19, Private, 164938, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -36, Self-emp-not-inc, 179896, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3137, 0, 40, United-States, <=50K -26, Private, 253841, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 177955, 5th-6th, 3, Never-married, Priv-house-serv, Other-relative, White, Female, 2176, 0, 40, El-Salvador, <=50K -66, Private, 113323, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 40, United-States, >50K -38, Private, 320305, 7th-8th, 4, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 229287, Bachelors, 13, Never-married, Exec-managerial, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -19, Private, 100790, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 331419, Assoc-acdm, 12, Never-married, Craft-repair, Not-in-family, White, Male, 4787, 0, 50, United-States, >50K -22, Private, 171419, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 40, South, <=50K -60, Private, 202226, Some-college, 10, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 44, United-States, >50K -54, Private, 308087, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 1977, 18, United-States, >50K -46, Private, 220124, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -33, State-gov, 31703, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Local-gov, 153908, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 180599, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -18, ?, 252046, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -60, Self-emp-inc, 160062, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, United-States, <=50K -39, Self-emp-not-inc, 148443, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 91733, Bachelors, 13, Never-married, Tech-support, Own-child, White, Female, 3325, 0, 40, United-States, <=50K -39, Private, 176634, Assoc-acdm, 12, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Local-gov, 74949, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 165484, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -24, Private, 44738, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 130040, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 234537, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -39, Private, 179016, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 335421, Masters, 14, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, State-gov, 312678, Masters, 14, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K -22, ?, 313786, HS-grad, 9, Divorced, ?, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -31, Private, 198751, Bachelors, 13, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Vietnam, <=50K -63, Private, 131519, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 285060, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -28, State-gov, 189765, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 130905, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 146325, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, >50K -33, Private, 102821, 12th, 8, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 137876, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 388998, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 13550, 0, 46, United-States, >50K -29, Private, 82910, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 309122, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -60, Private, 532845, 1st-4th, 2, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, >50K -46, Private, 195833, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, ?, <=50K -67, ?, 98882, Masters, 14, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, ?, 133515, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 15, France, <=50K -23, Private, 55215, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 55, United-States, <=50K -38, Self-emp-inc, 176357, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 185836, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Self-emp-not-inc, 54152, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -37, Private, 212437, Some-college, 10, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -37, Private, 224566, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 200040, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 41526, Bachelors, 13, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, Canada, <=50K -27, Private, 89598, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -33, Private, 323811, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, <=50K -43, State-gov, 30824, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Federal-gov, 181096, Some-college, 10, Never-married, Tech-support, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -45, Private, 217953, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Other, Male, 0, 0, 40, Mexico, <=50K -44, Private, 222635, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -52, ?, 121942, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 346871, HS-grad, 9, Divorced, Prof-specialty, Not-in-family, White, Male, 4787, 0, 46, United-States, >50K -31, Private, 184889, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -18, Federal-gov, 101709, 11th, 7, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 15, Philippines, <=50K -20, Private, 125010, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -32, Private, 53135, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 498328, 10th, 6, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -46, Private, 604380, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -28, Private, 174327, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -27, Self-emp-not-inc, 357283, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -18, Federal-gov, 280728, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 32, United-States, <=50K -69, Self-emp-not-inc, 185039, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 9386, 0, 12, United-States, >50K -50, Self-emp-inc, 251240, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 143046, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Greece, <=50K -32, Private, 210541, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -43, Private, 172364, HS-grad, 9, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -52, Self-emp-not-inc, 138611, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 55, United-States, >50K -50, Private, 176227, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K -35, Private, 139647, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -20, ?, 174461, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K -73, ?, 123345, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -46, Private, 164427, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 45, United-States, <=50K -58, Private, 205235, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -46, Self-emp-inc, 192779, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -40, Private, 163434, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 264055, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 336215, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -33, Federal-gov, 78307, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Federal-gov, 233059, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 91433, 10th, 6, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -56, Local-gov, 157525, Some-college, 10, Divorced, Protective-serv, Not-in-family, Black, Male, 0, 0, 48, United-States, <=50K -24, Private, 86065, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -42, Private, 22831, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 180181, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 212617, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 66, Ecuador, <=50K -22, ?, 125905, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 336793, Bachelors, 13, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 314649, HS-grad, 9, Married-spouse-absent, Handlers-cleaners, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, ?, <=50K -22, Private, 283969, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -32, Self-emp-not-inc, 35595, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 410240, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -66, Private, 178120, 5th-6th, 3, Divorced, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 15, United-States, <=50K -26, State-gov, 294400, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 38, United-States, <=50K -46, Private, 65353, Some-college, 10, Divorced, Transport-moving, Own-child, White, Male, 3325, 0, 55, United-States, <=50K -55, Private, 189719, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 23438, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 178037, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 109815, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 197860, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 271933, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -54, Private, 141663, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 15, United-States, <=50K -19, ?, 199609, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 92215, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -47, Private, 93449, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 60, Japan, <=50K -29, Private, 235393, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 151864, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 189277, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -50, ?, 204577, Bachelors, 13, Married-civ-spouse, ?, Husband, Black, Male, 0, 1902, 60, United-States, >50K -42, Private, 344572, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -21, Private, 265356, Some-college, 10, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -36, Self-emp-inc, 166880, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -60, Private, 188650, 5th-6th, 3, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, ?, >50K -69, Private, 213249, Assoc-voc, 11, Widowed, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -31, Private, 112627, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -48, Private, 125120, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -23, Private, 60409, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 243190, Assoc-acdm, 12, Separated, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 8614, 0, 40, United-States, >50K -47, Private, 583755, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -36, Private, 68089, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -39, Private, 306646, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 186573, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 46, United-States, <=50K -27, Private, 279580, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K -36, Private, 437909, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 420691, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -33, Federal-gov, 94193, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 154076, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -52, Private, 145879, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -23, Private, 208946, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 32, United-States, <=50K -33, Private, 231826, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Mexico, <=50K -30, Private, 178587, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -35, Private, 213208, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, Black, Male, 0, 0, 38, Jamaica, <=50K -35, ?, 139770, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, >50K -27, Private, 153869, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 37, United-States, <=50K -24, Private, 88676, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -44, Local-gov, 151089, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 138621, Assoc-voc, 11, Separated, Priv-house-serv, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -45, Private, 30457, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -75, Self-emp-not-inc, 213349, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -47, Private, 192776, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -64, Private, 192884, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -54, Private, 103024, HS-grad, 9, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 42, United-States, >50K -41, Federal-gov, 510072, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 178615, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 249956, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -51, Private, 177705, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -45, Self-emp-inc, 121124, Prof-school, 15, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -18, ?, 25837, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 72, United-States, <=50K -43, Private, 557349, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Yugoslavia, <=50K -30, Private, 89735, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 1504, 40, United-States, <=50K -32, Private, 222548, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 47314, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, ?, >50K -61, Private, 316359, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 200089, 1st-4th, 2, Married-civ-spouse, Other-service, Other-relative, White, Male, 0, 0, 40, England, <=50K -56, Private, 271795, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K -28, Private, 31801, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -23, Private, 196508, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 189933, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 84, United-States, <=50K -27, ?, 501172, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 419, 20, Mexico, <=50K -33, Private, 361497, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 70, United-States, <=50K -22, Private, 150175, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -43, Local-gov, 155106, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-not-inc, 62272, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 189916, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 324011, 9th, 5, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 105803, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -67, ?, 53588, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 107998, HS-grad, 9, Divorced, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 340567, 1st-4th, 2, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, Mexico, <=50K -39, Private, 167777, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -29, Private, 228860, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 50, United-States, >50K -45, Self-emp-inc, 40666, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -44, Private, 277488, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 3103, 0, 40, United-States, >50K -42, Local-gov, 195897, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 242984, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 236497, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 312634, 11th, 7, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -64, Private, 59829, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 25, France, <=50K -30, Private, 24292, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -43, Local-gov, 180407, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 42, Germany, <=50K -49, Self-emp-not-inc, 121238, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 281982, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 348739, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -49, Private, 194189, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 329130, 11th, 7, Separated, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 205939, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 2202, 0, 4, United-States, <=50K -31, Private, 62165, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -26, Private, 224361, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 34722, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -38, Private, 175972, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 359428, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -24, ?, 138504, HS-grad, 9, Separated, ?, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -18, Private, 268952, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -32, Private, 257978, Assoc-voc, 11, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 118799, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, State-gov, 78356, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, Jamaica, <=50K -30, Self-emp-not-inc, 609789, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 123157, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 38, United-States, <=50K -74, Private, 84197, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -36, Private, 162312, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 70, South, <=50K -36, Private, 138441, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 55, United-States, <=50K -29, Private, 239753, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2057, 20, United-States, <=50K -39, Private, 262158, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -25, Self-emp-inc, 133373, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -21, Private, 57916, HS-grad, 9, Separated, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, State-gov, 142897, Assoc-voc, 11, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -38, Private, 161016, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -20, Private, 227491, HS-grad, 9, Never-married, Sales, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 25, United-States, <=50K -51, Private, 306790, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 33831, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 188972, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 313546, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 220585, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -25, Local-gov, 476599, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 163665, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -36, Private, 306646, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -41, Private, 206470, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Germany, <=50K -34, Private, 169583, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -19, State-gov, 127085, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, United-States, <=50K -18, Private, 152044, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 3, United-States, <=50K -36, Private, 111387, 10th, 6, Divorced, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 102318, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 40, United-States, >50K -29, Private, 213692, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 163665, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -35, Private, 30529, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 290226, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 182136, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 73266, Some-college, 10, Never-married, Transport-moving, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -19, State-gov, 60412, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 15, United-States, <=50K -70, Private, 187891, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 194304, Some-college, 10, Divorced, Transport-moving, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K -35, Private, 160910, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -25, Private, 148300, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -39, Private, 165743, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 123174, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 37, ?, >50K -43, Private, 184018, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Federal-gov, 188069, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Philippines, >50K -51, Private, 138852, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 7298, 0, 40, El-Salvador, >50K -29, ?, 78529, 10th, 6, Separated, ?, Unmarried, White, Female, 0, 0, 12, United-States, <=50K -20, Private, 164441, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 199419, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 181342, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, Black, Female, 0, 0, 40, United-States, <=50K -44, Private, 173382, Assoc-acdm, 12, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 184924, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1719, 15, United-States, <=50K -25, Private, 215384, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 424094, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Federal-gov, 212120, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 185764, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -46, Local-gov, 133969, Masters, 14, Divorced, Prof-specialty, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -22, Private, 32616, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -49, Private, 149210, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 161210, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -53, Private, 285621, Masters, 14, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -43, Private, 282069, Some-college, 10, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 42, United-States, <=50K -22, Private, 97508, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 356823, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 10520, 0, 45, United-States, >50K -28, Private, 171133, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 231638, Some-college, 10, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -40, Private, 191342, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, >50K -50, Private, 226497, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -48, Self-emp-not-inc, 373606, Some-college, 10, Divorced, Sales, Unmarried, White, Male, 0, 0, 65, United-States, >50K -30, Private, 39150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 288840, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -34, Private, 293703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -42, Private, 79586, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -48, Self-emp-not-inc, 82098, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, United-States, <=50K -38, Private, 245372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -29, Private, 78261, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 355996, 10th, 6, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 218490, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 27828, 0, 55, United-States, >50K -44, Private, 110908, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Wife, White, Female, 0, 0, 25, United-States, <=50K -42, Federal-gov, 34218, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 50, United-States, >50K -49, Private, 248895, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -25, Private, 363707, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 272411, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 128033, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -20, Private, 177287, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -44, Private, 197344, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 285858, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Self-emp-inc, 193868, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 232082, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 27408, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 247043, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, <=50K -27, Local-gov, 162404, HS-grad, 9, Never-married, Protective-serv, Not-in-family, Black, Male, 2174, 0, 40, United-States, <=50K -64, Private, 236341, 5th-6th, 3, Widowed, Other-service, Not-in-family, Black, Female, 0, 0, 16, United-States, <=50K -66, Local-gov, 179285, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3432, 0, 20, United-States, <=50K -34, Private, 30433, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -45, Self-emp-not-inc, 102771, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Self-emp-not-inc, 221172, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 108116, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, United-States, >50K -26, Private, 375499, 10th, 6, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 20, United-States, <=50K -27, Private, 178688, Assoc-voc, 11, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 276709, Some-college, 10, Never-married, Sales, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -23, ?, 238087, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 84790, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, State-gov, 37482, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, State-gov, 178686, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -35, ?, 153926, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 110748, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -28, Private, 116613, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 24, United-States, <=50K -21, Private, 108687, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 365739, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 195284, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -38, Private, 125933, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, ?, >50K -37, Private, 140854, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -81, Self-emp-not-inc, 193237, 1st-4th, 2, Widowed, Sales, Other-relative, White, Male, 0, 0, 45, Mexico, <=50K -41, Private, 46870, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 351324, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 189265, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 236564, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Federal-gov, 557644, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 374454, HS-grad, 9, Divorced, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -65, ?, 160654, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -18, Private, 122775, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -26, Private, 214413, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Male, 6497, 0, 48, United-States, <=50K -30, Private, 329425, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K -61, Private, 178312, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K -21, Private, 241951, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 130143, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -41, Self-emp-inc, 114580, Prof-school, 15, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 55, United-States, >50K -43, Self-emp-inc, 130126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -60, Private, 399387, 7th-8th, 4, Separated, Priv-house-serv, Unmarried, Black, Female, 0, 0, 15, United-States, <=50K -47, Private, 163814, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 69586, Some-college, 10, Divorced, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 237903, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, ?, 219897, Masters, 14, Never-married, ?, Not-in-family, White, Female, 0, 0, 35, Canada, <=50K -31, Private, 243165, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -33, State-gov, 173806, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -27, Self-emp-not-inc, 65308, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Private, 408531, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, >50K -44, Private, 235786, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 45, United-States, >50K -37, Private, 314963, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 81206, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -51, Federal-gov, 293196, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Private, 95329, Masters, 14, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, Local-gov, 45474, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -25, Private, 372728, Bachelors, 13, Never-married, Other-service, Not-in-family, Black, Female, 0, 0, 24, Jamaica, <=50K -29, Federal-gov, 116394, Bachelors, 13, Married-AF-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -36, Self-emp-not-inc, 34180, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 70, United-States, >50K -55, Private, 327589, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 706180, Bachelors, 13, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 32550, 10th, 6, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 173858, Prof-school, 15, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -51, Self-emp-inc, 230095, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 139012, Assoc-voc, 11, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Male, 2463, 0, 40, Vietnam, <=50K -62, Private, 174711, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -37, Private, 171150, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 99999, 0, 60, United-States, >50K -30, Self-emp-inc, 77689, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -27, Private, 193898, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -32, Private, 195000, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 45, United-States, >50K -23, Private, 303121, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -35, Self-emp-not-inc, 188540, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 158656, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 36, United-States, <=50K -45, Self-emp-inc, 204196, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K -27, Private, 183802, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 148995, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 190903, 11th, 7, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -37, State-gov, 173780, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -42, Private, 251239, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, Puerto-Rico, <=50K -45, Private, 112761, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, State-gov, 425785, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 197731, Assoc-voc, 11, Married-spouse-absent, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 119156, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 133819, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 185556, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 12, United-States, >50K -50, Private, 109277, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Self-emp-inc, 36020, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -45, Private, 45857, 11th, 7, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 36, United-States, <=50K -55, Private, 184882, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 50, United-States, >50K -41, State-gov, 342834, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, Private, 234743, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 24, United-States, <=50K -29, Federal-gov, 106179, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1408, 40, United-States, <=50K -37, Private, 177895, Some-college, 10, Married-civ-spouse, Tech-support, Wife, White, Female, 5013, 0, 40, United-States, <=50K -63, ?, 257876, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 86067, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -64, Private, 66634, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Male, 27828, 0, 50, United-States, >50K -35, Private, 138441, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K -22, Private, 279802, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 407138, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2936, 0, 50, Mexico, <=50K -58, Private, 31732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 204172, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 48, United-States, <=50K -34, Private, 100593, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 6, United-States, <=50K -33, Local-gov, 162623, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, Self-emp-not-inc, 80933, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, <=50K -17, Private, 47425, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -27, Private, 107812, Bachelors, 13, Married-civ-spouse, Sales, Other-relative, White, Male, 0, 0, 40, United-States, >50K -20, Self-emp-inc, 104443, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -52, Private, 117496, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 1755, 40, United-States, >50K -30, Private, 209691, 7th-8th, 4, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 314525, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 190772, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -64, Local-gov, 199298, 5th-6th, 3, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 45, ?, <=50K -49, Private, 187370, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 50, United-States, >50K -38, Private, 216129, Bachelors, 13, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 60, ?, <=50K -46, Federal-gov, 219293, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 80, United-States, >50K -17, Private, 136363, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -45, Private, 233799, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -27, Private, 207611, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 178344, Assoc-voc, 11, Divorced, Sales, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -26, Self-emp-inc, 187652, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 78, United-States, >50K -23, Private, 188545, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Female, 0, 1974, 20, United-States, <=50K -44, Local-gov, 58124, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 321733, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -35, Private, 206253, 9th, 5, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, ?, 152140, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -56, Private, 76281, Bachelors, 13, Married-spouse-absent, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 606752, Masters, 14, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 29933, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, >50K -29, Private, 114158, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 3325, 0, 10, United-States, <=50K -55, ?, 227203, Assoc-acdm, 12, Married-spouse-absent, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K -35, Self-emp-inc, 65624, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -37, Private, 34146, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 68, United-States, <=50K -36, Self-emp-not-inc, 34378, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3908, 0, 75, United-States, <=50K -33, Private, 141490, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 45, United-States, <=50K -34, Private, 199227, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 224954, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 231357, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Self-emp-inc, 113530, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 22245, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 36383, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, >50K -35, Private, 320305, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 32, United-States, <=50K -67, ?, 201657, Bachelors, 13, Divorced, ?, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -34, Private, 48935, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 101455, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -19, Local-gov, 243960, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 16, United-States, <=50K -26, Private, 90915, Assoc-acdm, 12, Never-married, Other-service, Own-child, Black, Female, 0, 0, 15, United-States, <=50K -28, Private, 315287, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 106255, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Local-gov, 215895, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, Italy, >50K -33, Self-emp-not-inc, 170979, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -44, Private, 210525, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 195488, HS-grad, 9, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 40, Guatemala, <=50K -18, Private, 152246, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 16, United-States, <=50K -60, Self-emp-not-inc, 187794, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 60, United-States, >50K -44, Private, 110396, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 56, United-States, >50K -81, ?, 89391, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 24, United-States, >50K -43, State-gov, 254817, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 41777, 12th, 8, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -58, Self-emp-not-inc, 234841, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 72, United-States, <=50K -32, Private, 79586, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, <=50K -40, Private, 115331, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -32, Private, 63564, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -21, Private, 132053, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 1721, 35, United-States, <=50K -44, Private, 370502, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 25, Mexico, <=50K -33, Private, 59083, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1902, 45, United-States, >50K -25, Private, 69413, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 32981, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 176683, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 144116, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Self-emp-not-inc, 209213, HS-grad, 9, Never-married, Sales, Not-in-family, Black, Male, 0, 0, 40, ?, <=50K -33, State-gov, 150657, Bachelors, 13, Never-married, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-not-inc, 124793, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -50, Private, 22211, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 50, United-States, >50K -46, Private, 270565, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 38251, Assoc-acdm, 12, Never-married, Other-service, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -66, State-gov, 162945, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 20051, 0, 55, United-States, >50K -52, Private, 195638, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -57, Self-emp-not-inc, 118806, 1st-4th, 2, Widowed, Craft-repair, Other-relative, White, Female, 0, 1602, 45, Columbia, <=50K -41, Self-emp-not-inc, 44006, Assoc-voc, 11, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 119679, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1579, 42, United-States, <=50K -19, Private, 333953, 12th, 8, Never-married, Other-service, Other-relative, White, Female, 0, 0, 30, United-States, <=50K -45, Local-gov, 172111, Bachelors, 13, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K -51, Self-emp-not-inc, 32372, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 99, United-States, <=50K -69, ?, 117525, Assoc-acdm, 12, Divorced, ?, Unmarried, White, Female, 0, 0, 1, United-States, <=50K -45, Self-emp-not-inc, 123681, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -48, Private, 317360, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -60, Federal-gov, 119832, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -42, Private, 135056, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, State-gov, 135162, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -39, Self-emp-not-inc, 194004, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 70, United-States, <=50K -46, Private, 177633, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -58, Local-gov, 212864, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 3908, 0, 40, United-States, <=50K -36, Private, 30509, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -21, Private, 118712, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -41, Private, 199018, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 151799, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -29, Private, 181280, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 232024, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -33, Private, 226267, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, Mexico, <=50K -38, Private, 240467, Masters, 14, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -42, Private, 154374, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -24, State-gov, 231473, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 30, United-States, <=50K -59, Private, 158813, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -36, Private, 346478, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 45, United-States, >50K -54, Private, 215990, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 7688, 0, 40, United-States, >50K -39, Private, 177154, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -42, Self-emp-not-inc, 238188, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 96, United-States, <=50K -54, Self-emp-not-inc, 156800, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 130620, Assoc-acdm, 12, Married-spouse-absent, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, ?, <=50K -50, Private, 175339, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 37937, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 45, United-States, <=50K -48, Federal-gov, 166634, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7688, 0, 40, United-States, >50K -31, Private, 221167, Bachelors, 13, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -56, Private, 179641, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -28, Local-gov, 213195, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -34, Private, 157747, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 227840, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 169104, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, ?, >50K -44, Private, 186916, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 60, United-States, >50K -34, Private, 37646, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 65, United-States, <=50K -26, Private, 157028, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -37, Private, 188774, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 2824, 40, United-States, >50K -64, ?, 146272, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 3411, 0, 15, United-States, <=50K -25, Private, 182656, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 200471, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 358465, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 78602, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -44, Private, 213416, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -46, Local-gov, 345911, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -32, ?, 119522, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -42, Federal-gov, 126320, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -33, Self-emp-not-inc, 235271, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -61, Private, 141745, HS-grad, 9, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 359461, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 109351, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 8614, 0, 45, United-States, >50K -62, Private, 148113, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 75478, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 100375, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 60, United-States, >50K -19, ?, 28455, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 231413, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Local-gov, 119421, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 42, United-States, <=50K -17, Private, 206998, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -58, Private, 183810, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-inc, 187053, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -34, Local-gov, 155781, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 4064, 0, 50, United-States, <=50K -55, ?, 193895, 7th-8th, 4, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 48520, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, Self-emp-inc, 170125, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 107584, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 196742, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, ?, 244214, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K -48, Local-gov, 127921, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 42617, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -47, Local-gov, 191389, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -38, Private, 187983, Prof-school, 15, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 215110, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -25, Private, 230292, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 90159, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 32, United-States, >50K -40, Private, 175398, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -56, Self-emp-not-inc, 53366, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -50, Private, 46155, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -55, Private, 61708, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 6418, 0, 50, United-States, >50K -32, Local-gov, 112650, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 173682, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 43, United-States, >50K -28, Private, 160981, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -53, Private, 72257, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -26, ?, 182332, Assoc-voc, 11, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, <=50K -60, Local-gov, 48788, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 5455, 0, 55, United-States, <=50K -21, Private, 417668, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -29, Private, 107458, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -73, Private, 147551, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2174, 50, United-States, >50K -43, Self-emp-inc, 33729, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -45, Private, 101977, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, ?, 374716, 9th, 5, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 35, United-States, <=50K -36, Private, 214378, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, >50K -25, Private, 111243, HS-grad, 9, Never-married, Sales, Other-relative, White, Female, 0, 0, 50, United-States, <=50K -38, Private, 252947, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 40, United-States, <=50K -30, Local-gov, 118500, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 195612, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 40, United-States, >50K -41, Local-gov, 174575, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 190391, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 166715, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, <=50K -41, Self-emp-not-inc, 142725, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Private, 73471, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 47, United-States, >50K -51, Private, 241745, 5th-6th, 3, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, Mexico, <=50K -35, Private, 316141, Some-college, 10, Divorced, Prof-specialty, Unmarried, White, Female, 7443, 0, 40, United-States, <=50K -61, Local-gov, 248595, 1st-4th, 2, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -52, Private, 90189, 7th-8th, 4, Divorced, Priv-house-serv, Own-child, Black, Female, 0, 0, 16, United-States, <=50K -40, Private, 205195, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 148940, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 298035, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 154728, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 166809, Bachelors, 13, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K -36, State-gov, 97136, Bachelors, 13, Never-married, Prof-specialty, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 347623, Masters, 14, Never-married, Exec-managerial, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 117917, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 50, United-States, <=50K -45, Private, 266860, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 71864, Some-college, 10, Never-married, Craft-repair, Own-child, White, Female, 0, 0, 35, United-States, <=50K -47, Private, 158451, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 2, United-States, >50K -24, Private, 229826, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -19, Private, 121788, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -40, Private, 151365, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 360884, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -54, Private, 36480, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 50, United-States, >50K -43, Self-emp-not-inc, 116666, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Other, Male, 0, 0, 35, United-States, >50K -63, Local-gov, 214143, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K -18, Private, 45316, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 311974, 1st-4th, 2, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -49, Self-emp-not-inc, 48495, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 115945, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -49, Local-gov, 170846, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 142922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -71, ?, 181301, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 286675, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 233168, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 46, United-States, >50K -30, Private, 177304, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -46, Private, 336984, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 17, United-States, <=50K -32, Self-emp-not-inc, 379412, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 180778, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K -25, Private, 141876, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Male, 0, 0, 45, ?, <=50K -22, Private, 228306, Some-college, 10, Married-AF-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, >50K -32, Private, 329993, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 247469, Doctorate, 16, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K -51, Private, 673764, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 27828, 0, 40, United-States, >50K -20, Private, 155775, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 81223, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -40, Private, 236021, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -34, State-gov, 103371, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 199480, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -53, Private, 152657, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -42, Federal-gov, 460214, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 91039, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -41, Private, 197372, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -64, ?, 267198, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 16, United-States, <=50K -30, State-gov, 111883, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 66917, 11th, 7, Married-civ-spouse, Farming-fishing, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -19, Private, 292583, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -20, Private, 391679, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 60, United-States, <=50K -35, Private, 475324, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -33, Self-emp-not-inc, 218164, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 101534, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 15, United-States, >50K -38, Federal-gov, 65706, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -50, Self-emp-not-inc, 156606, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 200967, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -30, Local-gov, 164493, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 10, United-States, <=50K -33, Private, 547886, Bachelors, 13, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 232145, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 96421, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 24, Outlying-US(Guam-USVI-etc), <=50K -33, Private, 554206, Some-college, 10, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, Philippines, <=50K -50, Local-gov, 234143, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 45, United-States, >50K -23, Private, 380544, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 103886, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -50, State-gov, 54709, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 46, United-States, <=50K -26, Private, 276548, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 20, United-States, <=50K -55, Local-gov, 176046, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 2267, 40, United-States, <=50K -37, Private, 114605, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 323713, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 261382, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 223548, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, Mexico, <=50K -47, Self-emp-not-inc, 355978, Doctorate, 16, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2002, 45, United-States, <=50K -44, Private, 107218, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 31717, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 328947, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Private, 148431, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 121602, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 244087, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 50, United-States, >50K -31, Private, 83425, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 157308, 11th, 7, Married-civ-spouse, Handlers-cleaners, Wife, Asian-Pac-Islander, Female, 2829, 0, 14, Philippines, <=50K -23, Private, 57898, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -40, State-gov, 175304, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-inc, 102663, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 99175, 11th, 7, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 208358, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -69, Private, 361561, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 3, United-States, <=50K -23, Private, 215115, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Federal-gov, 207066, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -37, Federal-gov, 160910, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 64879, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 430035, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 54, Mexico, <=50K -37, State-gov, 74163, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 98389, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 386019, 9th, 5, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 70, United-States, <=50K -17, Private, 112795, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -48, Private, 332465, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, United-States, <=50K -17, Private, 38611, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 23, United-States, <=50K -55, Private, 368797, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, United-States, >50K -35, Private, 24106, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -68, ?, 108683, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 12, United-States, >50K -35, Self-emp-not-inc, 241998, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 312446, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -43, Private, 69333, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -36, Private, 172538, Masters, 14, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 275884, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -45, Private, 43479, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, <=50K -34, Private, 199864, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 2057, 40, United-States, <=50K -56, Private, 235197, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -36, Private, 170376, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -22, Private, 325179, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 50, United-States, <=50K -19, ?, 351195, 9th, 5, Never-married, ?, Other-relative, White, Male, 0, 1719, 35, El-Salvador, <=50K -33, Private, 141841, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 36, United-States, <=50K -48, Private, 207817, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 32, Columbia, <=50K -20, Private, 137974, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -64, Self-emp-inc, 161325, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 50, United-States, >50K -47, Private, 293623, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Dominican-Republic, <=50K -20, Private, 37783, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -44, Federal-gov, 308027, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 149218, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 77, United-States, <=50K -45, Local-gov, 374450, HS-grad, 9, Married-civ-spouse, Transport-moving, Wife, White, Female, 5178, 0, 40, United-States, >50K -45, Local-gov, 61885, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 37, United-States, >50K -27, State-gov, 291196, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -41, Private, 45366, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, United-States, >50K -20, Private, 203027, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -54, Self-emp-inc, 223752, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, ?, >50K -17, Private, 132680, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 1602, 10, United-States, <=50K -50, Private, 155574, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, State-gov, 193565, Masters, 14, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 123598, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 456236, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 163229, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -28, Local-gov, 419740, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -43, Local-gov, 118853, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 4386, 0, 99, United-States, >50K -33, Private, 31449, Assoc-acdm, 12, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -35, Private, 204163, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 55, United-States, <=50K -17, Private, 177629, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -25, Private, 186370, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 188307, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 55481, Masters, 14, Never-married, Tech-support, Unmarried, White, Male, 0, 0, 45, Nicaragua, <=50K -48, Private, 119471, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 56, Philippines, >50K -61, Local-gov, 167347, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K -41, Private, 184378, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 348960, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -24, Local-gov, 69640, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 297457, HS-grad, 9, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 279593, 11th, 7, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 2, United-States, <=50K -20, Private, 211968, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 15, United-States, <=50K -18, Private, 194561, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -23, Private, 140414, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, State-gov, 24763, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 45, United-States, >50K -38, State-gov, 462832, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Black, Female, 0, 0, 40, Trinadad&Tobago, <=50K -36, Private, 48972, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Self-emp-not-inc, 35032, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 228583, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, ?, <=50K -51, Private, 392668, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 84, United-States, >50K -35, Private, 108140, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, State-gov, 112497, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, <=50K -47, Federal-gov, 142581, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, >50K -26, Private, 147982, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, State-gov, 440129, Some-college, 10, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -46, Private, 200734, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, Trinadad&Tobago, <=50K -49, Private, 31807, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 166153, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -45, Self-emp-inc, 212954, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 52291, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -70, Self-emp-not-inc, 303588, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 20, United-States, <=50K -19, Private, 96176, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -46, Private, 184632, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 137618, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 35, United-States, <=50K -17, Private, 160029, 11th, 7, Never-married, Other-service, Other-relative, White, Female, 0, 0, 22, United-States, <=50K -43, Private, 178780, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 49, United-States, >50K -19, Private, 39756, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -37, Private, 35309, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 117253, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Local-gov, 303212, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 214542, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 60, Canada, <=50K -31, Private, 342019, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 126668, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 5178, 0, 50, United-States, >50K -27, Private, 401508, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 25005, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 99, United-States, >50K -30, Self-emp-not-inc, 85708, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 115677, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 32, United-States, <=50K -25, Private, 144259, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 50, United-States, <=50K -22, Private, 197583, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -21, State-gov, 142766, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -67, ?, 132626, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 6, United-States, <=50K -35, Self-emp-inc, 185621, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 60, United-States, >50K -54, Local-gov, 29887, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 56, United-States, <=50K -36, Private, 117381, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 211482, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Federal-gov, 90653, HS-grad, 9, Never-married, Exec-managerial, Unmarried, White, Female, 0, 1380, 40, United-States, <=50K -55, Private, 209535, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -56, Federal-gov, 187873, Masters, 14, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 174732, Some-college, 10, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -36, Private, 297847, HS-grad, 9, Never-married, Other-service, Not-in-family, Black, Female, 0, 2001, 40, United-States, <=50K -58, Private, 110213, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -35, Private, 162601, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 108438, 10th, 6, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -40, Self-emp-inc, 132222, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 174394, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -71, Self-emp-not-inc, 322789, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 35, United-States, <=50K -51, Federal-gov, 72436, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 57, United-States, >50K -27, ?, 60726, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -20, Private, 190273, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -33, ?, 393376, 11th, 7, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 140571, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 584790, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Private, 197666, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 24, Greece, <=50K -36, Private, 245090, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3137, 0, 50, El-Salvador, <=50K -42, Private, 192569, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 39, United-States, >50K -31, Local-gov, 158291, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Male, 8614, 0, 40, United-States, >50K -19, ?, 113915, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 10, United-States, <=50K -38, Local-gov, 287658, Masters, 14, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, Jamaica, <=50K -22, Private, 192455, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 317040, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 54, United-States, <=50K -36, Private, 218689, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 1977, 50, United-States, >50K -17, Private, 116626, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 1719, 18, United-States, <=50K -30, Federal-gov, 48458, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -35, Self-emp-not-inc, 241469, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 2635, 0, 30, United-States, <=50K -32, Private, 167990, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 14084, 0, 40, United-States, >50K -42, Private, 261929, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 40, United-States, >50K -54, Private, 425804, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -36, Private, 33394, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1887, 35, United-States, >50K -58, Private, 72812, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 89040, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Local-gov, 164518, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -51, Private, 182740, HS-grad, 9, Divorced, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 361875, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -25, Private, 197130, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -26, Private, 340335, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 293984, 10th, 6, Married-civ-spouse, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -59, State-gov, 261584, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, Outlying-US(Guam-USVI-etc), <=50K -21, Private, 170302, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 481987, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 18, United-States, >50K -26, Private, 88449, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, <=50K -68, Self-emp-not-inc, 261897, 10th, 6, Widowed, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -60, Private, 250552, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -65, Private, 88513, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 18, United-States, <=50K -41, Private, 168293, Masters, 14, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -34, Private, 283921, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Private, 407043, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 63745, Assoc-voc, 11, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 49893, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -37, Private, 241962, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 338416, 10th, 6, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 60, United-States, <=50K -21, ?, 212888, 11th, 7, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 56, United-States, <=50K -57, Federal-gov, 310320, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 48, United-States, >50K -55, Private, 359972, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -51, Private, 64643, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, ?, <=50K -56, Private, 125000, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 286675, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -18, Private, 165532, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 15, United-States, <=50K -48, Private, 349986, Assoc-voc, 11, Married-spouse-absent, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 213140, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -41, Federal-gov, 219155, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, India, >50K -33, Private, 183612, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 20, United-States, <=50K -33, Private, 391114, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 219632, 5th-6th, 3, Married-spouse-absent, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -46, Self-emp-inc, 320124, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, Amer-Indian-Eskimo, Female, 15024, 0, 40, United-States, >50K -40, Private, 799281, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 38, United-States, <=50K -42, Private, 657397, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -31, State-gov, 373432, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 55, United-States, >50K -51, Private, 168660, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 191149, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 57, United-States, <=50K -37, Private, 356824, HS-grad, 9, Separated, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 191782, 11th, 7, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -63, Self-emp-not-inc, 29859, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 7688, 0, 60, United-States, >50K -52, Private, 204226, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -42, Local-gov, 246862, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 40, United-States, <=50K -28, Private, 496526, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 426431, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -34, Private, 84154, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Federal-gov, 45937, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -31, Private, 130021, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 63021, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -25, Private, 367306, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 65624, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 144928, HS-grad, 9, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 117747, Some-college, 10, Never-married, Craft-repair, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -18, Private, 266681, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 152035, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 190023, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -43, Private, 233130, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -21, Private, 149637, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -62, Federal-gov, 224277, Some-college, 10, Widowed, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 121559, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Self-emp-not-inc, 230951, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 345285, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -65, Self-emp-not-inc, 28367, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -41, Private, 320744, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 3325, 0, 50, United-States, <=50K -31, Private, 243773, 9th, 5, Never-married, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -56, Private, 151474, 9th, 5, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 135465, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -22, Private, 210781, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -36, Local-gov, 359001, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 48, United-States, <=50K -48, Private, 119471, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, India, >50K -30, Private, 226396, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K -35, Private, 283122, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, <=50K -37, Self-emp-not-inc, 326400, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -32, ?, 169186, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 5, United-States, <=50K -56, Private, 158752, Masters, 14, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, <=50K -29, ?, 208406, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -41, Private, 96741, Assoc-acdm, 12, Divorced, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -38, State-gov, 255191, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 177733, 9th, 5, Separated, Machine-op-inspct, Unmarried, White, Female, 0, 0, 35, Dominican-Republic, <=50K -54, State-gov, 137815, 12th, 8, Never-married, Other-service, Own-child, White, Male, 4101, 0, 40, United-States, <=50K -36, ?, 187203, Assoc-voc, 11, Divorced, ?, Own-child, White, Male, 0, 0, 50, United-States, <=50K -42, Private, 168515, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 122672, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 195199, HS-grad, 9, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 30, United-States, <=50K -69, Local-gov, 179813, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 10, United-States, <=50K -32, Private, 178623, Assoc-acdm, 12, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 46, Trinadad&Tobago, <=50K -50, Private, 41890, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 373050, 12th, 8, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -45, Private, 80430, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -31, Private, 198613, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 35, United-States, <=50K -24, Private, 330571, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 209205, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -21, Private, 132243, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Female, 0, 0, 5, United-States, <=50K -43, Self-emp-not-inc, 237670, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -22, Private, 193586, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -62, Self-emp-not-inc, 197353, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1740, 40, United-States, <=50K -21, Self-emp-not-inc, 74538, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -37, Private, 89718, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, Private, 93169, Some-college, 10, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -74, Self-emp-not-inc, 292915, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1825, 12, United-States, >50K -43, Private, 328570, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -25, Private, 312157, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 193459, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 236804, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 126223, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -51, State-gov, 172281, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 35, United-States, >50K -64, Private, 153894, Bachelors, 13, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, Peru, <=50K -35, Private, 331395, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -69, Self-emp-not-inc, 92472, 10th, 6, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 3273, 0, 45, United-States, <=50K -32, Private, 318647, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -20, Private, 332931, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, United-States, <=50K -66, Self-emp-inc, 76212, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 301168, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Italy, <=50K -22, Private, 440969, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 24, United-States, <=50K -32, Private, 154950, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 218343, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 239577, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 247936, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 2, Taiwan, <=50K -62, Local-gov, 203525, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 2829, 0, 40, United-States, <=50K -24, Private, 182342, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 25649, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 7298, 0, 50, United-States, >50K -27, Private, 243569, 11th, 7, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 3942, 0, 40, United-States, <=50K -38, Private, 187870, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 90, United-States, >50K -20, ?, 289116, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 5, United-States, <=50K -30, Private, 487330, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K -17, ?, 34019, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -17, ?, 250541, 11th, 7, Never-married, ?, Own-child, Black, Male, 0, 0, 8, United-States, <=50K -21, Self-emp-not-inc, 318987, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, Self-emp-not-inc, 140558, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Local-gov, 303455, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 4787, 0, 60, United-States, >50K -37, Self-emp-not-inc, 76855, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 308764, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -50, Federal-gov, 339905, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Private, 227856, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K -55, Private, 156430, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -45, ?, 98265, HS-grad, 9, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -72, Private, 116640, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3471, 0, 20, United-States, <=50K -39, Private, 187167, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 184078, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 108140, Bachelors, 13, Divorced, Tech-support, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 150533, Some-college, 10, Separated, Craft-repair, Not-in-family, White, Male, 0, 1876, 55, United-States, <=50K -51, Self-emp-not-inc, 313702, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 39803, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 1719, 36, United-States, <=50K -25, Private, 252752, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -52, Private, 111700, Some-college, 10, Divorced, Sales, Other-relative, White, Female, 0, 0, 20, United-States, >50K -45, Private, 361842, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -17, Private, 231438, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -20, Private, 178469, HS-grad, 9, Never-married, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, ?, <=50K -64, Local-gov, 116620, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 25, United-States, <=50K -34, Private, 112212, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1485, 40, United-States, <=50K -74, Self-emp-not-inc, 109101, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 4, United-States, <=50K -58, Federal-gov, 72998, 11th, 7, Divorced, Craft-repair, Not-in-family, Black, Female, 14084, 0, 40, United-States, >50K -44, Private, 147265, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -23, State-gov, 314645, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -23, Private, 444554, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 50, United-States, <=50K -27, Private, 129629, Assoc-voc, 11, Never-married, Tech-support, Other-relative, White, Female, 0, 0, 36, United-States, <=50K -34, Private, 106761, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -18, Private, 189924, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 24, United-States, <=50K -33, Private, 311194, 11th, 7, Never-married, Sales, Unmarried, Black, Female, 0, 0, 17, United-States, <=50K -50, Self-emp-not-inc, 89737, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -47, Private, 49298, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -50, Self-emp-inc, 190333, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 99999, 0, 55, United-States, >50K -18, Private, 251923, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -49, Local-gov, 298445, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 60, United-States, >50K -34, Private, 180284, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 50, United-States, <=50K -51, Private, 154342, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -56, State-gov, 68658, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -64, Private, 203783, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 8, United-States, <=50K -23, Private, 250037, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -33, Private, 158688, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 214781, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -60, Federal-gov, 404023, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 10520, 0, 40, United-States, >50K -57, State-gov, 109015, 12th, 8, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 194630, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 239375, Bachelors, 13, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 35576, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 2415, 50, United-States, >50K -39, Federal-gov, 363630, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 7688, 0, 52, United-States, >50K -32, Self-emp-not-inc, 182926, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 117222, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 15, United-States, <=50K -30, Private, 110643, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -56, Self-emp-not-inc, 170217, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 45, United-States, <=50K -34, Private, 193285, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 161075, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -59, Private, 322691, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 229431, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 11, United-States, <=50K -60, ?, 106282, 9th, 5, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 105694, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 42, United-States, <=50K -24, Private, 199883, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -41, State-gov, 100800, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 256278, 7th-8th, 4, Married-civ-spouse, Handlers-cleaners, Other-relative, Other, Female, 0, 0, 30, El-Salvador, <=50K -32, Private, 156464, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 50, United-States, >50K -51, Self-emp-inc, 129525, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, ?, <=50K -18, Private, 285013, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 10, United-States, <=50K -28, Private, 248911, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, ?, <=50K -33, ?, 369386, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 5178, 0, 40, United-States, >50K -38, Private, 219902, HS-grad, 9, Separated, Transport-moving, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -29, Private, 375482, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, England, <=50K -25, Private, 169124, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 183000, Prof-school, 15, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -34, Private, 28053, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -34, Private, 242984, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 45, United-States, >50K -66, State-gov, 132055, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1825, 40, United-States, >50K -41, Private, 212894, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Guatemala, <=50K -62, Private, 223975, 7th-8th, 4, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -58, Private, 357788, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 406811, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 40, Canada, <=50K -24, Private, 154422, Bachelors, 13, Never-married, Exec-managerial, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -47, Private, 140644, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 355477, HS-grad, 9, Never-married, Other-service, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -32, Private, 151773, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -51, State-gov, 341548, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 512771, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -60, ?, 141580, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 48988, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 201022, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 50, United-States, >50K -20, Private, 82777, HS-grad, 9, Married-civ-spouse, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 152676, 7th-8th, 4, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, Puerto-Rico, <=50K -18, Private, 115815, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 168009, 10th, 6, Married-civ-spouse, Machine-op-inspct, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -28, Private, 213152, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, ?, >50K -55, Private, 89690, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -40, Private, 126868, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -52, Private, 95128, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 185567, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 40, United-States, >50K -21, Private, 301408, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1602, 22, United-States, <=50K -35, Private, 216256, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 182541, Some-college, 10, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -39, Private, 172855, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -54, Private, 68684, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -42, Private, 364832, 7th-8th, 4, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, ?, 264300, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 20, United-States, <=50K -59, Self-emp-inc, 349910, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 276218, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -22, Private, 251196, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -33, Private, 196898, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 58343, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Self-emp-inc, 101061, 11th, 7, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 70, United-States, <=50K -46, Private, 415051, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 60, United-States, >50K -24, Private, 174043, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 129460, Assoc-voc, 11, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 30, Ecuador, <=50K -21, State-gov, 110946, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 43, United-States, <=50K -22, Private, 313873, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 30, United-States, <=50K -61, Private, 81132, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Asian-Pac-Islander, Male, 7298, 0, 40, Philippines, >50K -56, Federal-gov, 255386, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Laos, <=50K -21, Private, 191497, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -17, Private, 128617, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 26, United-States, <=50K -29, Private, 368949, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, ?, >50K -28, Local-gov, 263600, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -62, Private, 257277, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -39, Private, 339442, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, Black, Male, 2176, 0, 40, United-States, <=50K -30, Local-gov, 289442, HS-grad, 9, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, ?, 162667, 11th, 7, Never-married, ?, Unmarried, White, Male, 0, 0, 40, El-Salvador, <=50K -18, Local-gov, 466325, 11th, 7, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 12, United-States, <=50K -54, Private, 142169, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 252079, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -33, State-gov, 119628, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Hong, <=50K -50, Private, 175804, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Private, 70720, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 78, United-States, <=50K -50, State-gov, 201513, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 257609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 124692, Some-college, 10, Married-civ-spouse, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, >50K -23, Private, 268525, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -23, Private, 250630, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 180277, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Hungary, <=50K -39, Self-emp-not-inc, 191342, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, <=50K -29, Private, 250967, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 48, United-States, >50K -46, Private, 153254, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 362600, 5th-6th, 3, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -68, Private, 171933, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -62, Private, 211408, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 48193, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 22463, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 440969, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -21, State-gov, 164922, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 134524, Assoc-voc, 11, Divorced, Craft-repair, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -61, Private, 176689, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 220993, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -21, Private, 512828, HS-grad, 9, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 422275, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Mexico, <=50K -37, Local-gov, 65291, Assoc-voc, 11, Never-married, Protective-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -69, Private, 197080, 12th, 8, Married-civ-spouse, Transport-moving, Husband, White, Male, 9386, 0, 60, United-States, >50K -49, Federal-gov, 181657, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -55, Private, 190257, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 53, United-States, >50K -21, Private, 238068, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 337046, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 187248, HS-grad, 9, Married-civ-spouse, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -20, ?, 250037, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 18, ?, <=50K -46, Private, 285750, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 4064, 0, 55, United-States, <=50K -23, Private, 260617, 10th, 6, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 216999, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 531055, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 48, United-States, >50K -42, State-gov, 121265, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 184466, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -45, Private, 297676, Assoc-acdm, 12, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, Cuba, <=50K -52, Private, 114228, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 3325, 0, 40, United-States, <=50K -22, Local-gov, 121144, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 18, United-States, <=50K -20, Private, 26842, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 2176, 0, 40, United-States, <=50K -27, Private, 113054, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 43, United-States, <=50K -36, Private, 256636, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 152246, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Amer-Indian-Eskimo, Male, 0, 0, 52, United-States, <=50K -38, Private, 108140, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -20, ?, 203353, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 207207, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -21, Private, 115420, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -33, Private, 80058, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Local-gov, 48520, Assoc-acdm, 12, Never-married, Protective-serv, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 411652, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Mexico, <=50K -46, Private, 154405, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 45, United-States, <=50K -55, Local-gov, 104917, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -19, State-gov, 261422, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 48915, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -61, Private, 172037, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 144833, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 275116, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, ?, 72886, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 38, United-States, >50K -61, Private, 103575, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 37, United-States, <=50K -54, Private, 200783, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 152810, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 70, Germany, <=50K -37, Local-gov, 44694, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 45, United-States, >50K -17, ?, 48703, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -56, Private, 91905, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 4, United-States, <=50K -31, Private, 168906, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -32, State-gov, 147215, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K -28, Private, 153546, 11th, 7, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 35595, Assoc-voc, 11, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 225507, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -42, Private, 345504, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -64, Private, 137205, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -29, Private, 327779, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 20, United-States, <=50K -41, ?, 213416, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, Mexico, <=50K -45, Private, 362883, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 131309, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -44, Private, 188331, Some-college, 10, Separated, Tech-support, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -34, Federal-gov, 194740, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 43711, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 187033, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K -23, Private, 233923, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -51, Private, 84278, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -24, Private, 437666, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 2885, 0, 50, United-States, <=50K -57, Private, 186386, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Male, 10520, 0, 40, United-States, >50K -23, Private, 129767, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1721, 40, United-States, <=50K -34, Private, 180284, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 108320, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 4101, 0, 40, United-States, <=50K -56, Self-emp-inc, 75214, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 32, United-States, >50K -42, Private, 284758, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 188330, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -38, Private, 333651, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 70, United-States, >50K -29, Local-gov, 115305, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 40, United-States, >50K -54, Private, 172962, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 1340, 40, United-States, <=50K -40, Private, 198096, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 163265, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Federal-gov, 128608, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 107460, HS-grad, 9, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 37, United-States, <=50K -51, Private, 251841, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -28, Private, 403671, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -58, Private, 159378, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 170070, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 25, United-States, <=50K -46, State-gov, 192323, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 135796, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 48, United-States, <=50K -22, Private, 232985, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -28, Private, 34532, Bachelors, 13, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 30, Jamaica, <=50K -17, ?, 371316, 10th, 6, Never-married, ?, Own-child, White, Male, 0, 0, 25, United-States, <=50K -23, Private, 236994, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 208366, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -66, State-gov, 102640, HS-grad, 9, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -38, Private, 111377, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, <=50K -39, Federal-gov, 472166, Some-college, 10, Divorced, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -39, ?, 86551, 12th, 8, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 70943, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 5178, 0, 40, United-States, >50K -39, Private, 294919, HS-grad, 9, Divorced, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 408383, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 255454, HS-grad, 9, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 30, United-States, <=50K -32, Private, 193260, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -29, ?, 191935, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Local-gov, 125461, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 97005, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 183319, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, State-gov, 167049, 12th, 8, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 185216, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 161838, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 57, United-States, <=50K -38, Private, 165848, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 44, United-States, <=50K -21, Private, 138816, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -33, Self-emp-not-inc, 99761, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -34, Private, 112139, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 129020, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, ?, 365465, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 15, United-States, <=50K -27, Self-emp-not-inc, 259873, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 60, United-States, >50K -35, Self-emp-inc, 89622, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -29, State-gov, 201556, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 176286, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 192894, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 30, United-States, <=50K -37, Private, 172232, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -38, Self-emp-not-inc, 163204, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 25, United-States, <=50K -37, Private, 265737, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 1887, 60, Cuba, >50K -44, Private, 215304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 185952, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -38, Private, 216845, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 42, United-States, <=50K -34, Local-gov, 35683, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -50, Self-emp-not-inc, 371305, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 60, United-States, >50K -46, Private, 102359, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 200089, 5th-6th, 3, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 30, Guatemala, <=50K -47, State-gov, 207120, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 38, United-States, >50K -46, Private, 295334, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -34, Private, 234537, Assoc-acdm, 12, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 142922, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, State-gov, 181641, Some-college, 10, Divorced, Prof-specialty, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -36, Private, 185325, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -28, Private, 167336, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 10520, 0, 40, United-States, >50K -22, Private, 379778, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 176117, Some-college, 10, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -33, Private, 100228, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 150296, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 32, United-States, <=50K -43, Federal-gov, 25005, Masters, 14, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 12, United-States, <=50K -55, Private, 134120, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K -39, Self-emp-not-inc, 251710, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, White, Female, 0, 1721, 15, United-States, <=50K -20, Private, 653574, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 33, El-Salvador, <=50K -38, Private, 175441, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -30, Private, 333119, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 89154, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 42, El-Salvador, <=50K -60, Private, 198727, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 30, United-States, <=50K -43, Private, 87284, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 180686, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -23, Private, 227070, Some-college, 10, Never-married, Other-service, Unmarried, White, Female, 0, 0, 48, El-Salvador, <=50K -57, Local-gov, 189824, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 7298, 0, 40, United-States, >50K -25, Local-gov, 348986, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 96185, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -22, Private, 112693, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 417605, 5th-6th, 3, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -61, Self-emp-not-inc, 140300, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 44, United-States, <=50K -28, Private, 340408, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 46, United-States, <=50K -17, ?, 187539, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 10, United-States, <=50K -21, Private, 237051, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -49, Private, 175622, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 389725, 12th, 8, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 35, United-States, <=50K -23, Private, 182812, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, Dominican-Republic, <=50K -38, Self-emp-not-inc, 245372, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3137, 0, 50, United-States, <=50K -34, Local-gov, 93886, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 46, United-States, >50K -21, Private, 502837, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Female, 0, 0, 40, Peru, <=50K -27, State-gov, 212232, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 40, United-States, >50K -57, Private, 300104, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, >50K -22, Private, 156933, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 25, United-States, <=50K -20, Private, 286734, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Female, 0, 0, 35, United-States, <=50K -49, Self-emp-inc, 143482, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 65, United-States, >50K -38, Private, 226357, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 104892, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 223194, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1485, 40, Haiti, <=50K -37, Self-emp-not-inc, 272090, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -57, Private, 204816, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -56, Private, 230039, 7th-8th, 4, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -41, Private, 242619, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 80, United-States, <=50K -50, Self-emp-not-inc, 131982, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 0, 60, South, <=50K -33, Private, 87310, 9th, 5, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 134566, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, <=50K -28, Federal-gov, 163862, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -35, Private, 239409, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 203717, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 172274, Doctorate, 16, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 3004, 35, United-States, >50K -30, Self-emp-not-inc, 65278, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -35, Self-emp-inc, 135289, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, <=50K -27, Private, 246974, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 180060, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, Yugoslavia, <=50K -24, Private, 118023, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 102308, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -47, Private, 45564, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -18, Private, 137646, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -18, Private, 237646, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -31, Local-gov, 189843, HS-grad, 9, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 47, United-States, >50K -43, Self-emp-not-inc, 118261, Masters, 14, Divorced, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -45, Private, 288437, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Other, Male, 4064, 0, 40, United-States, <=50K -39, Private, 106347, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 316471, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 50058, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -30, Self-emp-not-inc, 182089, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 85, United-States, <=50K -36, Private, 186865, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -20, State-gov, 158206, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -61, ?, 229744, 1st-4th, 2, Married-civ-spouse, ?, Husband, White, Male, 3942, 0, 20, Mexico, <=50K -27, Private, 141545, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1902, 45, United-States, <=50K -59, Local-gov, 50929, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -60, Private, 132529, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 260696, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 231180, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -40, Private, 223277, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 279538, 11th, 7, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 2961, 0, 35, United-States, <=50K -47, Private, 46044, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 168071, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -20, Private, 79691, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -75, ?, 114204, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K -25, Private, 124111, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 104521, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Self-emp-not-inc, 128516, Assoc-acdm, 12, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, >50K -34, Private, 112564, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -45, State-gov, 32186, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 239663, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 2597, 0, 50, United-States, <=50K -46, Private, 269284, Assoc-acdm, 12, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, State-gov, 175537, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, Black, Female, 0, 0, 38, United-States, <=50K -29, Private, 444304, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 27415, 11th, 7, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 20, United-States, <=50K -39, Private, 174343, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 148143, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 209213, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, ?, <=50K -20, Private, 165097, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 51574, HS-grad, 9, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 1602, 38, United-States, <=50K -52, Private, 167651, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Local-gov, 29075, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -22, Private, 396895, 5th-6th, 3, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, Mexico, <=50K -66, State-gov, 71075, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -35, Private, 129573, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -40, Local-gov, 183765, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -21, Private, 164991, HS-grad, 9, Divorced, Sales, Unmarried, Amer-Indian-Eskimo, Female, 0, 0, 38, United-States, <=50K -51, Local-gov, 154891, HS-grad, 9, Divorced, Protective-serv, Unmarried, White, Male, 0, 0, 52, United-States, <=50K -34, Private, 200117, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 176389, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 342567, Bachelors, 13, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 178841, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Local-gov, 191149, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 29702, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -21, Private, 157893, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 40, United-States, <=50K -64, Local-gov, 31993, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 10, United-States, <=50K -24, Federal-gov, 210736, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1974, 40, United-States, <=50K -23, Private, 39615, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 10, United-States, <=50K -29, Private, 200511, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -44, Self-emp-not-inc, 47818, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -28, Private, 183155, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -33, Self-emp-inc, 374905, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -35, Private, 128876, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 202872, 10th, 6, Married-spouse-absent, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 153414, Bachelors, 13, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 24790, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 99, United-States, >50K -32, Private, 316769, 11th, 7, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K -37, Private, 126569, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 128538, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -24, Private, 234640, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -29, ?, 65372, Some-college, 10, Divorced, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 343377, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -52, Federal-gov, 30731, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Private, 412379, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Self-emp-inc, 112320, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -63, Private, 181929, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Male, 0, 0, 50, United-States, >50K -32, Local-gov, 100135, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 35, United-States, >50K -24, Private, 128061, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 594, 0, 15, United-States, <=50K -72, ?, 402306, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 32, Canada, <=50K -35, ?, 98389, Some-college, 10, Never-married, ?, Unmarried, White, Male, 0, 0, 10, United-States, <=50K -29, Private, 179565, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 64922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 50, United-States, >50K -70, Private, 102610, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K -65, ?, 115513, Bachelors, 13, Married-civ-spouse, ?, Husband, White, Male, 5556, 0, 48, United-States, >50K -36, Private, 150548, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -53, Private, 133219, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 4386, 0, 30, United-States, >50K -49, Local-gov, 67001, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 162347, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K -18, Private, 138557, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 170456, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, Italy, <=50K -42, Private, 66006, 10th, 6, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -25, State-gov, 176077, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -32, Private, 218322, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Self-emp-inc, 181691, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, ?, <=50K -47, Private, 168232, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 7298, 0, 40, United-States, >50K -30, Private, 161690, Assoc-voc, 11, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, ?, 242736, Assoc-acdm, 12, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 67317, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 265807, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 2051, 55, United-States, <=50K -37, Private, 99357, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -56, Private, 170070, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -52, State-gov, 231166, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 62339, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, State-gov, 118520, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K -45, Private, 155659, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -23, Local-gov, 157331, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 341762, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -30, Private, 164190, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -45, Private, 83064, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 304283, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 436798, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 29302, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 40, ?, <=50K -43, Private, 104660, Masters, 14, Widowed, Exec-managerial, Unmarried, White, Male, 4934, 0, 40, United-States, >50K -42, Private, 79036, HS-grad, 9, Divorced, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -72, Private, 165622, Some-college, 10, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -21, ?, 177287, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -57, Private, 199847, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -24, Private, 22966, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -27, Private, 59068, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 77336, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Local-gov, 96524, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -17, Private, 143868, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -48, Private, 121424, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -39, Private, 176279, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Self-emp-inc, 177905, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 70, United-States, >50K -50, Private, 205100, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, ?, <=50K -57, Private, 353881, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -44, Local-gov, 177937, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 36, United-States, >50K -20, ?, 122244, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -49, Private, 125892, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 155472, Assoc-acdm, 12, Never-married, Prof-specialty, Unmarried, Black, Female, 1151, 0, 50, United-States, <=50K -42, Private, 355728, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -18, ?, 245274, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 16, United-States, <=50K -18, Private, 240330, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 18, United-States, <=50K -51, Private, 182944, HS-grad, 9, Widowed, Tech-support, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 264498, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 110426, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 45, United-States, >50K -25, Private, 166971, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, <=50K -41, Private, 347653, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 50, United-States, >50K -39, Private, 33975, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Self-emp-not-inc, 215219, 11th, 7, Separated, Other-service, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -33, Private, 190772, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 1617, 40, United-States, <=50K -63, ?, 331527, 10th, 6, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 162494, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 45, United-States, >50K -27, Local-gov, 85918, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 68, United-States, <=50K -39, Private, 91367, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1848, 45, United-States, >50K -20, Private, 182342, Some-college, 10, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 129640, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -70, ?, 133536, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 28, United-States, <=50K -46, Private, 148738, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 1740, 35, United-States, <=50K -47, Private, 102583, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K -35, Private, 111387, 9th, 5, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 241752, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -22, ?, 334593, Some-college, 10, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 101950, Bachelors, 13, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -60, Local-gov, 212856, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -53, Private, 183973, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, >50K -47, Private, 142061, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 158615, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 29145, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 40135, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -23, Private, 224640, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, ?, 146651, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K -29, Private, 167737, HS-grad, 9, Never-married, Transport-moving, Other-relative, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 60331, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 187167, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -18, ?, 157131, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K -27, Local-gov, 255237, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -56, ?, 192325, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 163342, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 70, United-States, <=50K -31, Private, 129775, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, <=50K -18, Private, 206008, Some-college, 10, Never-married, Sales, Unmarried, White, Male, 2176, 0, 40, United-States, <=50K -25, Private, 397317, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 745768, Some-college, 10, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -38, Private, 141550, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 35576, HS-grad, 9, Widowed, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 376383, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K -48, Self-emp-not-inc, 200825, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 30, United-States, >50K -34, ?, 362787, HS-grad, 9, Never-married, ?, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -46, Private, 116789, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 160300, HS-grad, 9, Married-spouse-absent, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 362654, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 107801, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 3, United-States, <=50K -65, Private, 170939, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 6723, 0, 40, United-States, <=50K -31, Local-gov, 224234, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 478346, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 7688, 0, 40, United-States, >50K -68, Private, 211162, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 147638, Bachelors, 13, Never-married, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Hong, <=50K -42, Private, 104647, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 67365, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 230959, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 1887, 40, Philippines, >50K -39, Private, 176335, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 65, United-States, >50K -31, Self-emp-not-inc, 268482, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, State-gov, 288731, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -36, Private, 231082, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -42, State-gov, 333530, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, >50K -62, Private, 214288, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 118023, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 24, United-States, <=50K -21, Private, 187088, Some-college, 10, Never-married, Adm-clerical, Own-child, Other, Female, 0, 0, 20, Cuba, <=50K -60, ?, 174073, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 133833, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -30, Private, 229772, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, Private, 210082, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 119287, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 28, United-States, >50K -41, Self-emp-not-inc, 111772, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -25, Private, 122999, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 44767, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 200574, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 44, United-States, <=50K -58, Private, 236596, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 33124, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, United-States, <=50K -50, Local-gov, 308764, HS-grad, 9, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 103524, HS-grad, 9, Separated, Handlers-cleaners, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -31, ?, 99483, HS-grad, 9, Never-married, ?, Own-child, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -50, Private, 230951, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 99355, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K -33, Private, 857532, 12th, 8, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -62, Private, 81116, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 1974, 40, United-States, <=50K -38, Private, 154410, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, Poland, <=50K -19, Private, 198943, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 311696, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 30, United-States, <=50K -38, Private, 252897, Some-college, 10, Divorced, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -42, Self-emp-not-inc, 39539, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, >50K -49, Self-emp-inc, 122066, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -53, Private, 110977, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 50, United-States, >50K -45, Local-gov, 199590, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, Mexico, >50K -24, Private, 202721, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -29, Private, 197565, Assoc-voc, 11, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -24, Private, 206827, Some-college, 10, Never-married, Sales, Own-child, White, Female, 5060, 0, 30, United-States, <=50K -38, Federal-gov, 190895, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, ?, >50K -25, Self-emp-inc, 158751, Assoc-voc, 11, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -51, State-gov, 243631, 10th, 6, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -17, ?, 219277, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -19, Private, 45381, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 8, United-States, <=50K -38, Private, 167482, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -60, Private, 225014, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 405083, HS-grad, 9, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -66, ?, 186061, Some-college, 10, Widowed, ?, Unmarried, Black, Female, 0, 4356, 40, United-States, <=50K -28, Federal-gov, 24153, 10th, 6, Married-civ-spouse, Other-service, Wife, Amer-Indian-Eskimo, Female, 0, 0, 40, United-States, <=50K -36, Private, 126569, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Ecuador, >50K -57, ?, 137658, HS-grad, 9, Married-civ-spouse, ?, Husband, Other, Male, 0, 0, 5, Columbia, <=50K -24, Private, 315476, Assoc-acdm, 12, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 248186, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -29, Self-emp-inc, 206903, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, >50K -67, Self-emp-not-inc, 191380, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 20051, 0, 25, United-States, >50K -20, Private, 191910, HS-grad, 9, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 145119, Some-college, 10, Never-married, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 20, United-States, <=50K -20, Private, 130840, 10th, 6, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 33126, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -20, Private, 334105, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 10, United-States, <=50K -19, Local-gov, 354104, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -34, Private, 111985, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -40, Local-gov, 321187, Bachelors, 13, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -33, Private, 138142, Some-college, 10, Separated, Other-service, Unmarried, Black, Female, 0, 0, 25, United-States, <=50K -36, Private, 296999, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -43, Private, 155106, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 2444, 70, United-States, >50K -41, Local-gov, 174491, HS-grad, 9, Separated, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -34, State-gov, 173266, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -33, Private, 25610, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Other, Male, 0, 0, 40, Japan, >50K -47, Private, 187563, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 196344, 1st-4th, 2, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, Mexico, <=50K -40, Private, 205047, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -28, Private, 715938, Bachelors, 13, Never-married, Craft-repair, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 224520, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 90, United-States, >50K -29, Private, 229656, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -46, Private, 97883, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 131298, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -57, Federal-gov, 197875, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 172766, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -28, Local-gov, 175796, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 51973, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -54, Self-emp-not-inc, 28186, Bachelors, 13, Divorced, Farming-fishing, Not-in-family, White, Male, 27828, 0, 50, United-States, >50K -22, Private, 291979, 11th, 7, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 180752, Bachelors, 13, Never-married, Protective-serv, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -50, Private, 234657, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -18, Private, 39411, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K -52, State-gov, 334273, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -41, Private, 192779, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, ?, <=50K -21, ?, 105312, HS-grad, 9, Never-married, ?, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -36, Private, 171676, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 1741, 40, United-States, <=50K -34, Self-emp-not-inc, 182714, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 55, United-States, >50K -21, Private, 231866, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 102102, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -57, ?, 50248, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Local-gov, 195519, Masters, 14, Never-married, Prof-specialty, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -22, State-gov, 34310, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K -33, ?, 314913, 11th, 7, Divorced, ?, Own-child, White, Male, 0, 0, 53, United-States, <=50K -36, State-gov, 747719, Prof-school, 15, Married-civ-spouse, Prof-specialty, Wife, White, Female, 15024, 0, 50, United-States, >50K -43, Local-gov, 188280, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 914, 0, 40, United-States, <=50K -25, Private, 110978, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 37, India, >50K -17, Private, 79682, 10th, 6, Never-married, Priv-house-serv, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -45, Private, 294671, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 4386, 0, 38, United-States, >50K -30, Private, 340899, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 1590, 80, United-States, <=50K -40, Private, 192259, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -31, Local-gov, 190228, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -42, Private, 118947, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -53, Private, 55861, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 238433, 1st-4th, 2, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, Cuba, <=50K -37, State-gov, 166744, HS-grad, 9, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -54, Private, 144586, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -36, Private, 134367, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -46, Private, 133616, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 203039, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -32, Private, 217460, 9th, 5, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 106733, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 594, 0, 40, United-States, <=50K -42, State-gov, 212027, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -37, Local-gov, 126569, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 289960, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -54, Private, 174102, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 181716, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -46, Local-gov, 172822, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 293091, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 107443, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K -59, Private, 95283, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 65278, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -35, Private, 220943, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 1594, 40, United-States, <=50K -53, Private, 257940, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 2829, 0, 40, United-States, <=50K -26, Private, 134945, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 105582, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 2228, 0, 50, United-States, <=50K -46, Private, 169324, HS-grad, 9, Separated, Other-service, Not-in-family, Black, Female, 0, 0, 45, Jamaica, <=50K -44, State-gov, 98989, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Amer-Indian-Eskimo, Male, 0, 0, 38, United-States, >50K -30, Self-emp-not-inc, 113838, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 3137, 0, 60, Germany, <=50K -24, Private, 143436, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 24, United-States, <=50K -32, Private, 143604, 10th, 6, Married-spouse-absent, Other-service, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -35, Private, 226311, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -67, Private, 94610, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 30, United-States, >50K -56, Self-emp-not-inc, 26716, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K -26, Private, 160261, Masters, 14, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 20, India, <=50K -46, Private, 117310, Assoc-acdm, 12, Widowed, Tech-support, Unmarried, White, Female, 6497, 0, 40, United-States, <=50K -52, Private, 154342, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -38, Self-emp-not-inc, 89202, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 174704, HS-grad, 9, Divorced, Sales, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K -53, Private, 153486, HS-grad, 9, Separated, Transport-moving, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -27, Private, 360097, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 230356, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 163870, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 199753, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, >50K -20, Private, 333505, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, Nicaragua, <=50K -60, Local-gov, 149281, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Private, 138514, Assoc-voc, 11, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 48, United-States, <=50K -57, Federal-gov, 66504, Prof-school, 15, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -59, Private, 206487, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Private, 170020, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 217605, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Wife, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 145711, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 72, United-States, >50K -17, Private, 169155, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -45, Private, 34127, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -18, Private, 110142, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 222646, 12th, 8, Separated, Machine-op-inspct, Other-relative, White, Female, 0, 0, 40, Cuba, <=50K -18, Private, 182643, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 9, United-States, <=50K -20, Private, 303565, Some-college, 10, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 40, Germany, <=50K -34, Private, 140092, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 178811, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -18, ?, 267399, 12th, 8, Never-married, ?, Own-child, White, Female, 0, 0, 12, United-States, <=50K -17, Local-gov, 192387, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K -30, Federal-gov, 127610, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 258862, Bachelors, 13, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -30, Private, 225231, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 8614, 0, 50, United-States, >50K -18, Private, 174926, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 15, ?, <=50K -50, State-gov, 238187, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 0, 37, United-States, <=50K -22, Private, 191444, HS-grad, 9, Never-married, Sales, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 198822, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 35, United-States, <=50K -39, Self-emp-not-inc, 251323, 9th, 5, Married-civ-spouse, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Cuba, <=50K -20, Private, 168187, Some-college, 10, Never-married, Other-service, Other-relative, White, Female, 4416, 0, 25, United-States, <=50K -62, Private, 370881, Assoc-acdm, 12, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 7, United-States, <=50K -32, Private, 198183, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -38, Private, 210610, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 269182, Some-college, 10, Separated, Tech-support, Unmarried, Black, Female, 3887, 0, 40, United-States, <=50K -55, Private, 141727, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 3464, 0, 40, United-States, <=50K -38, Private, 185848, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 70, United-States, >50K -34, Private, 46746, 11th, 7, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 120475, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -26, Private, 135845, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -41, Private, 310255, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, State-gov, 379885, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 40, United-States, >50K -75, Self-emp-not-inc, 31428, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3456, 0, 40, United-States, <=50K -21, Private, 211013, Assoc-voc, 11, Married-civ-spouse, Other-service, Other-relative, White, Female, 0, 0, 50, Mexico, <=50K -50, Private, 175029, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Self-emp-inc, 119539, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, ?, >50K -26, Private, 247025, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 65, United-States, <=50K -39, Private, 252327, 7th-8th, 4, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, Mexico, <=50K -24, Self-emp-not-inc, 375313, Some-college, 10, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -56, Private, 107165, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 18, United-States, <=50K -17, Private, 108470, 11th, 7, Never-married, Other-service, Own-child, Black, Male, 0, 0, 17, United-States, <=50K -37, Private, 150057, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -23, Private, 189468, Assoc-voc, 11, Married-civ-spouse, Machine-op-inspct, Own-child, White, Female, 0, 0, 30, United-States, <=50K -28, ?, 198393, HS-grad, 9, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 181031, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -42, Local-gov, 569930, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 27411, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 147397, Bachelors, 13, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -39, Private, 242922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -54, Private, 154949, 11th, 7, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, >50K -41, Self-emp-inc, 423217, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -43, Federal-gov, 195385, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -19, Private, 100009, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 191628, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 340880, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, Philippines, >50K -19, Private, 207173, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 30, United-States, <=50K -33, Private, 48010, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 229051, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 52, United-States, <=50K -49, Private, 193366, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -31, Private, 57781, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -69, ?, 121136, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 13, United-States, <=50K -41, Private, 433989, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 4386, 0, 60, United-States, >50K -24, Private, 136687, HS-grad, 9, Separated, Machine-op-inspct, Unmarried, Other, Female, 0, 0, 40, United-States, <=50K -45, State-gov, 154117, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 38, United-States, >50K -63, Private, 294009, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -75, Private, 239038, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 16, United-States, <=50K -34, Private, 244064, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -69, Private, 128348, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 9386, 0, 50, United-States, >50K -33, Private, 66278, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 162643, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 43, United-States, <=50K -45, Private, 179659, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -18, Private, 205218, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -48, Private, 154033, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 0, 0, 52, United-States, <=50K -43, Private, 158528, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 366219, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 1848, 60, United-States, >50K -35, Private, 301862, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 228406, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 120131, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 70, United-States, >50K -54, Local-gov, 127943, HS-grad, 9, Widowed, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -57, Private, 301514, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 156980, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 124685, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 55, United-States, <=50K -51, Private, 305673, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Canada, >50K -34, Local-gov, 31391, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 53, United-States, >50K -41, Local-gov, 33658, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K -21, Private, 211391, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K -26, Private, 402998, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 58, United-States, >50K -66, Private, 78855, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -40, Private, 320451, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1977, 45, Hong, >50K -48, Private, 49278, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, ?, 248876, Bachelors, 13, Divorced, ?, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 242586, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 359696, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 15024, 0, 60, United-States, >50K -55, Local-gov, 296085, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -43, Private, 233130, Bachelors, 13, Divorced, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -51, Private, 189511, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, Germany, >50K -31, Private, 124420, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 67072, Bachelors, 13, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 6849, 0, 60, United-States, <=50K -51, Private, 194908, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -31, Local-gov, 94991, HS-grad, 9, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -18, Private, 194561, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 37, United-States, <=50K -60, Private, 75726, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 1092, 40, United-States, <=50K -29, Private, 60722, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -33, Private, 59944, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 220840, 5th-6th, 3, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, Mexico, <=50K -40, Self-emp-inc, 104235, Masters, 14, Never-married, Other-service, Own-child, White, Male, 0, 0, 99, United-States, <=50K -57, Private, 142714, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -55, Local-gov, 110490, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 60, United-States, <=50K -40, Self-emp-not-inc, 154076, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -26, State-gov, 130557, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -29, Private, 107108, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -30, Private, 207172, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, Mexico, <=50K -29, Private, 304595, Masters, 14, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -43, Private, 475322, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -65, Private, 107620, 11th, 7, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -19, Private, 301911, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Male, 0, 0, 35, Laos, <=50K -35, Private, 267866, HS-grad, 9, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, Iran, >50K -28, Private, 269786, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 167474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 115023, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 60, United-States, >50K -63, Local-gov, 86590, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 32, United-States, <=50K -47, State-gov, 187087, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 184307, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 225859, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 2907, 0, 30, United-States, <=50K -29, Private, 57889, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -59, Private, 157932, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 187830, Masters, 14, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 62, United-States, >50K -49, Private, 251180, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 2407, 0, 50, United-States, <=50K -60, Private, 317083, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -35, Self-emp-not-inc, 190895, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -48, Federal-gov, 328606, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 403860, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 215479, HS-grad, 9, Separated, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -56, Private, 157639, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 152129, 12th, 8, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -53, Private, 239284, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 234302, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 218724, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -61, Private, 106330, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 35032, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 234641, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 170730, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -31, Private, 218322, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -90, Private, 47929, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 142411, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, ?, 219122, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 132887, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, Black, Male, 3411, 0, 40, Jamaica, <=50K -34, State-gov, 44464, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -28, Private, 180928, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 5013, 0, 55, United-States, <=50K -22, ?, 199426, Some-college, 10, Never-married, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 139703, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 202642, Bachelors, 13, Separated, Prof-specialty, Other-relative, Black, Female, 0, 0, 40, Jamaica, <=50K -17, Private, 160049, 10th, 6, Never-married, Other-service, Own-child, White, Female, 0, 0, 12, United-States, <=50K -38, Private, 239755, 11th, 7, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 152369, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Private, 42900, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -72, ?, 117017, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 8, United-States, <=50K -57, Private, 175017, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Italy, <=50K -39, Private, 342642, HS-grad, 9, Divorced, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -50, Self-emp-not-inc, 143730, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 80, United-States, <=50K -45, Private, 191098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -37, Private, 208106, Bachelors, 13, Separated, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -27, Private, 167737, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -43, Private, 315971, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -41, Private, 142717, Some-college, 10, Divorced, Tech-support, Unmarried, Black, Female, 0, 0, 36, United-States, <=50K -20, Private, 190227, Masters, 14, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 25, United-States, <=50K -44, Private, 79864, Masters, 14, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -50, Private, 34067, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -54, Private, 222882, HS-grad, 9, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -31, Private, 44464, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 1564, 60, United-States, >50K -33, Private, 256062, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, Puerto-Rico, <=50K -22, Private, 251073, 9th, 5, Never-married, Other-service, Own-child, White, Male, 0, 0, 50, United-States, <=50K -46, Private, 149949, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 165235, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, >50K -22, ?, 243190, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -59, ?, 160662, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 2407, 0, 60, United-States, <=50K -57, Self-emp-not-inc, 175942, Some-college, 10, Widowed, Exec-managerial, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -26, Private, 212793, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 153312, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -55, Local-gov, 173296, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -47, Private, 120131, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 117444, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 226196, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 202872, Assoc-acdm, 12, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -42, Private, 176716, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -39, Private, 82540, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, <=50K -17, ?, 41643, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 197292, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -26, Private, 76491, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -50, Self-emp-inc, 101094, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, <=50K -46, Self-emp-not-inc, 119944, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -18, Private, 141626, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 2176, 0, 20, United-States, <=50K -26, Private, 122575, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Asian-Pac-Islander, Male, 0, 0, 60, Vietnam, <=50K -32, Private, 194740, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -50, Private, 263200, 5th-6th, 3, Married-spouse-absent, Other-service, Unmarried, White, Female, 0, 0, 34, Mexico, <=50K -47, Local-gov, 140644, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 202115, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 25, United-States, <=50K -25, Federal-gov, 27142, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Local-gov, 318046, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 276369, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 67187, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Female, 0, 0, 8, United-States, <=50K -23, Private, 133582, 1st-4th, 2, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 36, Mexico, <=50K -23, Private, 216672, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 30, ?, <=50K -32, Private, 45796, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, <=50K -29, Self-emp-inc, 31778, HS-grad, 9, Separated, Prof-specialty, Other-relative, White, Male, 0, 0, 25, United-States, <=50K -40, Private, 190044, Assoc-acdm, 12, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, State-gov, 144351, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -17, ?, 172145, 10th, 6, Never-married, ?, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 193130, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Local-gov, 140478, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -56, Private, 122390, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 15024, 0, 40, United-States, >50K -23, Private, 116830, 12th, 8, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -37, Local-gov, 117683, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 106491, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -22, ?, 39803, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 363053, 9th, 5, Never-married, Priv-house-serv, Unmarried, White, Female, 0, 0, 24, Mexico, <=50K -21, Private, 54472, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -47, Local-gov, 200471, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 5178, 0, 40, United-States, >50K -38, Private, 54317, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 60, United-States, <=50K -62, Local-gov, 113443, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 10520, 0, 33, United-States, >50K -27, Private, 159623, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, ?, 161235, Assoc-voc, 11, Never-married, ?, Own-child, White, Male, 0, 0, 90, United-States, <=50K -27, Private, 247978, HS-grad, 9, Never-married, Other-service, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 305846, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -22, Self-emp-not-inc, 214014, Some-college, 10, Never-married, Sales, Own-child, Black, Male, 99999, 0, 55, United-States, >50K -33, Private, 226525, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 247819, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 5, United-States, <=50K -28, Private, 194940, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 289991, HS-grad, 9, Never-married, Transport-moving, Unmarried, White, Male, 0, 0, 55, United-States, <=50K -46, Private, 585361, 9th, 5, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 91145, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -65, ?, 231604, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 45, Germany, <=50K -28, Private, 273269, Some-college, 10, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -39, Private, 202683, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 159179, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 28952, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 39, United-States, <=50K -25, ?, 214925, 10th, 6, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -63, Private, 163708, 9th, 5, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -56, Private, 200235, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -46, Private, 109209, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -19, Private, 166153, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 30, United-States, <=50K -56, Local-gov, 268213, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 35, ?, >50K -31, Private, 69056, HS-grad, 9, Divorced, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -51, State-gov, 237141, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -17, Private, 277541, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 5, United-States, <=50K -27, Local-gov, 289039, Some-college, 10, Never-married, Protective-serv, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -30, Private, 134737, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 45, United-States, <=50K -18, Private, 56613, Some-college, 10, Never-married, Protective-serv, Own-child, White, Female, 0, 0, 20, United-States, <=50K -41, Private, 36699, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 4650, 0, 40, United-States, <=50K -40, Local-gov, 333530, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 40, United-States, >50K -35, Private, 185366, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 154017, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 10, United-States, <=50K -27, Private, 215504, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 1848, 55, United-States, >50K -25, Private, 222539, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 2597, 0, 50, United-States, <=50K -53, Private, 191565, 1st-4th, 2, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, Dominican-Republic, <=50K -53, Private, 111939, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -26, State-gov, 53903, HS-grad, 9, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -41, Private, 146659, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K -28, Private, 194200, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -48, State-gov, 78529, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -22, Private, 194829, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -40, Federal-gov, 330174, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -52, Self-emp-inc, 230767, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 60, Cuba, >50K -53, Local-gov, 137250, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 1669, 35, United-States, <=50K -40, Private, 254478, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K -57, Private, 300908, Assoc-acdm, 12, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K -53, Self-emp-not-inc, 187830, Assoc-voc, 11, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Poland, <=50K -23, Private, 201138, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 8, United-States, <=50K -31, Self-emp-not-inc, 44503, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 381357, 9th, 5, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 28, United-States, <=50K -25, Private, 311124, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 96330, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -50, Private, 228238, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -34, Self-emp-not-inc, 56964, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -37, Private, 127772, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Private, 386397, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Self-emp-not-inc, 404998, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 90, United-States, <=50K -49, Private, 34545, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -31, Private, 157886, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 101299, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 134447, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 70, United-States, <=50K -27, Private, 191822, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -23, Private, 70919, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 266343, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 46, United-States, <=50K -28, Private, 87239, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Local-gov, 236487, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -30, Private, 224147, HS-grad, 9, Never-married, Transport-moving, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -23, Private, 197200, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 60, United-States, <=50K -19, Private, 124265, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 79980, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 25, United-States, <=50K -50, Private, 128814, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -64, ?, 208862, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 50, United-States, >50K -21, Private, 51262, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 35, United-States, <=50K -75, Self-emp-inc, 98116, Some-college, 10, Widowed, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -29, Private, 82393, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Germany, <=50K -47, Private, 57534, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -20, Private, 218962, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 204752, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 243631, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 45, China, >50K -41, Private, 170299, Assoc-voc, 11, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 43, United-States, <=50K -23, Private, 60331, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 269318, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 5178, 0, 50, United-States, >50K -67, State-gov, 132819, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 41, United-States, >50K -21, Private, 119665, Some-college, 10, Never-married, Tech-support, Own-child, White, Male, 0, 0, 35, United-States, <=50K -38, Private, 150057, Some-college, 10, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -31, Private, 128567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -19, ?, 230874, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -59, Self-emp-not-inc, 148526, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 160192, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 74660, Some-college, 10, Widowed, Prof-specialty, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-inc, 142494, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 122042, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Self-emp-inc, 37088, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 61778, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -21, ?, 176356, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 10, Germany, <=50K -27, Private, 123302, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, Poland, <=50K -18, Private, 89760, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -44, Local-gov, 165304, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, >50K -56, Private, 104945, 7th-8th, 4, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-inc, 192973, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, >50K -48, Private, 97863, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, Italy, >50K -31, Private, 73585, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 29145, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 175232, HS-grad, 9, Divorced, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 325374, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 107231, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1672, 65, United-States, <=50K -23, Private, 129345, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 25, United-States, <=50K -21, Private, 228395, Some-college, 10, Never-married, Sales, Other-relative, Black, Female, 0, 0, 20, United-States, <=50K -49, Private, 452402, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 60, United-States, <=50K -51, Self-emp-inc, 338260, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -46, Private, 165138, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 109055, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 3137, 0, 45, United-States, <=50K -27, Private, 193122, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, ?, 425497, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -48, Private, 191858, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 297155, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -29, Local-gov, 181282, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -50, Federal-gov, 111700, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -18, Private, 35065, HS-grad, 9, Never-married, Transport-moving, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -37, Private, 298539, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 55, United-States, >50K -51, Self-emp-not-inc, 95435, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -31, Private, 162160, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 47, United-States, <=50K -29, Private, 176037, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, Black, Male, 14344, 0, 40, United-States, >50K -39, Private, 314007, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 40, United-States, <=50K -48, Private, 197683, Some-college, 10, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, >50K -44, Private, 242521, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7688, 0, 50, United-States, >50K -39, Private, 290321, 10th, 6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Local-gov, 44064, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -27, ?, 174163, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, United-States, >50K -42, Private, 374790, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 231562, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 33, United-States, <=50K -27, Private, 376150, Some-college, 10, Married-spouse-absent, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -51, Private, 99987, 10th, 6, Separated, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Self-emp-not-inc, 120126, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Self-emp-not-inc, 33717, 11th, 7, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -36, Private, 132879, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, <=50K -45, Private, 304570, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 60, China, >50K -40, Private, 100292, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 52, United-States, >50K -63, Private, 117473, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 4386, 0, 40, United-States, >50K -41, Private, 239833, HS-grad, 9, Married-spouse-absent, Transport-moving, Unmarried, Black, Male, 0, 0, 50, United-States, <=50K -53, ?, 155233, 12th, 8, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 40, Italy, <=50K -34, Private, 130369, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Female, 1151, 0, 48, Germany, <=50K -34, Private, 347166, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 502752, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, >50K -22, State-gov, 255575, Assoc-acdm, 12, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 15, United-States, <=50K -49, Private, 277946, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -43, ?, 214541, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 143123, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -27, Private, 69132, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 37, United-States, <=50K -52, Self-emp-not-inc, 34973, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1887, 60, United-States, >50K -29, Private, 236992, HS-grad, 9, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 50, United-States, <=50K -27, Private, 492263, 10th, 6, Separated, Machine-op-inspct, Own-child, White, Male, 0, 0, 35, Mexico, <=50K -42, Private, 180019, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -49, Self-emp-not-inc, 47086, Bachelors, 13, Widowed, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 222853, Some-college, 10, Never-married, Craft-repair, Unmarried, White, Male, 0, 0, 50, United-States, <=50K -22, Private, 344176, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -30, Self-emp-not-inc, 223212, Bachelors, 13, Never-married, Sales, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 110981, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 162688, Assoc-voc, 11, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 181307, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 43, United-States, >50K -39, Private, 148903, HS-grad, 9, Divorced, Sales, Not-in-family, White, Female, 4687, 0, 50, United-States, >50K -43, Private, 306440, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 66, France, <=50K -18, Private, 210311, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -53, Private, 127117, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -74, Private, 54732, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 20, United-States, >50K -39, Private, 271521, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 48, Philippines, >50K -33, ?, 216908, 10th, 6, Never-married, ?, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 543922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 42, United-States, >50K -21, Private, 766115, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 35, United-States, <=50K -65, ?, 52728, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 284166, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 1564, 50, United-States, >50K -49, Private, 122206, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 25, United-States, <=50K -20, ?, 95989, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 334039, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 44, United-States, >50K -46, Self-emp-not-inc, 225456, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 112847, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 7298, 0, 32, United-States, >50K -61, Self-emp-not-inc, 171840, HS-grad, 9, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 16, United-States, <=50K -48, Private, 180695, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -44, Private, 121012, 9th, 5, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-inc, 126569, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -45, Private, 227791, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1740, 50, United-States, <=50K -51, Self-emp-not-inc, 290290, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -33, Local-gov, 251521, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -55, Self-emp-not-inc, 41938, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 8, United-States, <=50K -25, Private, 27678, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 60, United-States, <=50K -26, Private, 133756, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -54, Private, 215990, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 461337, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -39, Local-gov, 344855, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 1977, 20, United-States, >50K -20, State-gov, 214542, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 258170, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Federal-gov, 242147, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, Other, Male, 0, 0, 45, United-States, <=50K -42, Private, 235700, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 278130, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, Private, 261241, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -60, Private, 85995, Masters, 14, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 50, South, >50K -42, Private, 340885, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 44, United-States, <=50K -42, Private, 152889, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 195023, HS-grad, 9, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Columbia, <=50K -52, State-gov, 109600, Masters, 14, Married-spouse-absent, Exec-managerial, Unmarried, White, Female, 4787, 0, 44, United-States, >50K -27, ?, 249463, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -43, Private, 158177, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -43, State-gov, 47818, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 391468, 11th, 7, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Local-gov, 199995, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7298, 0, 60, United-States, >50K -31, Private, 231043, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -38, ?, 281768, 7th-8th, 4, Divorced, ?, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -44, Private, 267790, 9th, 5, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -27, Private, 217379, Some-college, 10, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 421561, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 50953, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 138504, Some-college, 10, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -36, State-gov, 177064, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 103064, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 3674, 0, 40, United-States, <=50K -59, Private, 184493, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 104089, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -23, Private, 149204, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 405284, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 1340, 42, United-States, <=50K -25, Local-gov, 137296, Assoc-acdm, 12, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 38, United-States, <=50K -40, Private, 87771, HS-grad, 9, Married-civ-spouse, Craft-repair, Wife, White, Female, 0, 1628, 45, United-States, <=50K -38, State-gov, 125499, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 7688, 0, 60, India, >50K -31, Private, 59083, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 35, United-States, <=50K -28, Local-gov, 138332, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 198914, HS-grad, 9, Never-married, Sales, Unmarried, Black, Male, 0, 0, 25, United-States, <=50K -46, Local-gov, 238162, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 50, United-States, >50K -29, Private, 123677, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Laos, <=50K -38, Federal-gov, 325538, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -53, Private, 251063, Some-college, 10, Separated, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Private, 51471, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 1902, 40, United-States, >50K -39, Private, 175681, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 60, ?, <=50K -44, Private, 165599, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -46, Private, 149640, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Male, 0, 0, 45, England, >50K -30, Private, 143526, Bachelors, 13, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 211160, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 342989, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -62, Self-emp-not-inc, 173631, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, <=50K -25, Private, 141876, HS-grad, 9, Married-spouse-absent, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 137604, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 129232, Some-college, 10, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -64, Federal-gov, 271550, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 456922, Bachelors, 13, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 232242, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 352188, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 114967, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 201981, HS-grad, 9, Divorced, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -32, State-gov, 159247, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 125905, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 186824, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Local-gov, 121012, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -58, Private, 110844, Masters, 14, Widowed, Sales, Not-in-family, White, Female, 0, 0, 27, United-States, <=50K -23, Private, 143003, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 1887, 50, India, >50K -31, Federal-gov, 59732, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -28, Private, 178489, Bachelors, 13, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 45, ?, <=50K -41, ?, 252127, Some-college, 10, Widowed, ?, Unmarried, Black, Female, 0, 0, 20, United-States, <=50K -37, Private, 109633, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 16, United-States, >50K -19, Private, 160811, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 38, United-States, <=50K -27, Self-emp-not-inc, 365110, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -61, Self-emp-not-inc, 113080, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 58, United-States, >50K -39, Private, 206074, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -25, Private, 173062, Bachelors, 13, Never-married, Handlers-cleaners, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 117273, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -27, Self-emp-not-inc, 153805, Some-college, 10, Married-civ-spouse, Transport-moving, Other-relative, Other, Male, 0, 0, 50, Ecuador, >50K -51, Private, 293802, 5th-6th, 3, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male, 0, 0, 52, United-States, <=50K -43, Local-gov, 153132, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -46, Private, 166809, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -67, ?, 34122, 5th-6th, 3, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Local-gov, 231725, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 63210, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 15, United-States, <=50K -35, Private, 108293, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 32, United-States, >50K -57, Private, 116878, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Italy, <=50K -40, Private, 110622, Prof-school, 15, Married-civ-spouse, Adm-clerical, Other-relative, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -42, Local-gov, 180318, 10th, 6, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 35, United-States, <=50K -67, Self-emp-inc, 112318, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 252079, Bachelors, 13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 7688, 0, 44, United-States, >50K -30, Private, 27153, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 73312, 11th, 7, Never-married, Machine-op-inspct, Unmarried, White, Female, 0, 0, 15, United-States, <=50K -51, Private, 145409, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 167882, Some-college, 10, Widowed, Other-service, Other-relative, Black, Female, 0, 0, 45, Haiti, <=50K -24, Private, 236696, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Own-child, White, Male, 0, 0, 35, United-States, <=50K -48, Self-emp-not-inc, 28791, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -34, State-gov, 118551, Bachelors, 13, Married-civ-spouse, Tech-support, Own-child, White, Female, 5178, 0, 25, ?, >50K -70, Private, 187292, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 6418, 0, 40, United-States, >50K -35, Private, 189922, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, ?, 584259, Masters, 14, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 2, United-States, >50K -26, Private, 173992, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -64, Private, 253759, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K -26, Private, 111243, HS-grad, 9, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -39, Self-emp-not-inc, 147850, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 30, United-States, <=50K -55, Private, 171015, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 36, United-States, <=50K -23, Private, 118023, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 45, ?, <=50K -33, Self-emp-not-inc, 361497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 137290, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -28, Local-gov, 401886, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 20, United-States, <=50K -50, Private, 201882, Masters, 14, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 30, United-States, <=50K -26, Local-gov, 30793, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 55, United-States, >50K -44, Federal-gov, 139161, Assoc-acdm, 12, Divorced, Adm-clerical, Not-in-family, Black, Female, 0, 1741, 40, United-States, <=50K -51, Private, 210736, HS-grad, 9, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 167781, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 103986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 39, United-States, >50K -29, Private, 144592, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 493034, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -27, Private, 184078, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 191814, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -24, Private, 329852, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 223660, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -47, Private, 177087, Some-college, 10, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 50, United-States, >50K -30, Private, 143766, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -35, Private, 234271, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Federal-gov, 314822, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -42, Private, 195584, Assoc-acdm, 12, Separated, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -70, Self-emp-inc, 207938, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2377, 50, United-States, >50K -41, Private, 126850, Prof-school, 15, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -36, Private, 279485, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -44, Private, 267717, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 42, United-States, >50K -42, ?, 175935, HS-grad, 9, Separated, ?, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 163665, Some-college, 10, Never-married, Transport-moving, Own-child, White, Female, 0, 0, 17, United-States, <=50K -29, Private, 200468, 10th, 6, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 91501, HS-grad, 9, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 182771, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -59, Self-emp-not-inc, 56392, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 1579, 60, United-States, <=50K -31, Private, 20511, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -21, Private, 538822, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -26, Private, 332008, Some-college, 10, Never-married, Craft-repair, Unmarried, Asian-Pac-Islander, Male, 0, 0, 37, Taiwan, <=50K -57, Self-emp-inc, 220789, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -59, Self-emp-not-inc, 114760, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, >50K -87, ?, 90338, HS-grad, 9, Widowed, ?, Not-in-family, White, Male, 0, 0, 2, United-States, <=50K -25, Private, 181576, Some-college, 10, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -39, Private, 198841, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 45, United-States, >50K -53, Private, 53197, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 3103, 0, 40, United-States, >50K -32, State-gov, 542265, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 193026, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 25505, Assoc-voc, 11, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 35, United-States, <=50K -17, Private, 375657, 11th, 7, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 30, United-States, <=50K -44, Private, 201599, 11th, 7, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 181820, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 20, United-States, <=50K -57, Private, 334224, Some-college, 10, Married-civ-spouse, Craft-repair, Wife, White, Female, 9386, 0, 40, United-States, >50K -30, State-gov, 54318, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 141388, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 55, United-States, <=50K -54, Self-emp-not-inc, 57101, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 35, United-States, <=50K -44, Private, 168515, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Germany, <=50K -60, Private, 163665, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 16, United-States, >50K -28, Private, 207513, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 42, United-States, >50K -39, Private, 293291, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 50, United-States, >50K -55, Private, 70088, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 199346, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -55, Local-gov, 143949, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 3103, 0, 45, United-States, >50K -33, Private, 207201, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 55, United-States, >50K -30, Private, 430283, HS-grad, 9, Married-civ-spouse, Adm-clerical, Wife, White, Female, 7298, 0, 40, United-States, >50K -40, Local-gov, 293809, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -30, Private, 378009, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -40, Private, 226608, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 30, Guatemala, >50K -24, Private, 314182, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -18, Private, 170544, 11th, 7, Never-married, Sales, Own-child, White, Male, 0, 0, 20, United-States, <=50K -18, Private, 94196, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 25, United-States, <=50K -49, Private, 193047, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -42, Private, 112607, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -28, Local-gov, 146949, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 309513, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -48, Self-emp-not-inc, 191389, Some-college, 10, Separated, Sales, Unmarried, White, Female, 0, 0, 50, United-States, <=50K -24, Private, 213902, 7th-8th, 4, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 32, El-Salvador, <=50K -73, Self-emp-not-inc, 46514, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 25, United-States, <=50K -35, Private, 75855, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7298, 0, 40, ?, >50K -23, Private, 38707, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 60, United-States, >50K -19, Private, 188568, Some-college, 10, Never-married, Priv-house-serv, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 215014, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, Mexico, <=50K -27, Private, 184477, 12th, 8, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 204235, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 39054, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 20, United-States, <=50K -64, Self-emp-inc, 272531, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 358701, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 10, Mexico, <=50K -47, Private, 217750, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 35, United-States, <=50K -22, Private, 200374, HS-grad, 9, Never-married, Machine-op-inspct, Other-relative, White, Male, 0, 0, 35, United-States, <=50K -24, Private, 498349, Bachelors, 13, Never-married, Transport-moving, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -69, State-gov, 170458, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 20, United-States, <=50K -40, Self-emp-not-inc, 57233, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -45, Private, 188432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 33300, Assoc-acdm, 12, Never-married, Farming-fishing, Other-relative, White, Male, 10520, 0, 45, United-States, >50K -31, Private, 225779, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 46677, Assoc-acdm, 12, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 42, United-States, <=50K -41, Private, 227968, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, Black, Female, 0, 0, 35, Haiti, >50K -34, Private, 85355, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 207120, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 229223, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7688, 0, 36, United-States, >50K -20, Private, 224640, Assoc-acdm, 12, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 139012, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -40, Federal-gov, 130749, Some-college, 10, Divorced, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 204516, 10th, 6, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -20, Private, 105479, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -41, Private, 197093, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-inc, 431245, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 155150, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, State-gov, 216035, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 388247, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Private, 208908, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -23, Private, 259301, HS-grad, 9, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 69333, Assoc-voc, 11, Married-civ-spouse, Transport-moving, Husband, White, Male, 4386, 0, 80, United-States, >50K -34, Private, 167893, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 64, United-States, >50K -32, Federal-gov, 386877, Assoc-voc, 11, Never-married, Tech-support, Own-child, Black, Male, 4650, 0, 40, United-States, <=50K -54, Private, 146551, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 54, United-States, >50K -48, Private, 238360, Bachelors, 13, Separated, Adm-clerical, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -38, Private, 187748, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -48, State-gov, 50748, Bachelors, 13, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 50136, 5th-6th, 3, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -42, Private, 111483, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, >50K -31, Private, 298871, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, China, <=50K -27, Private, 147340, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -57, Private, 132704, Masters, 14, Separated, Prof-specialty, Not-in-family, White, Male, 10520, 0, 32, United-States, >50K -46, State-gov, 327786, Assoc-voc, 11, Divorced, Tech-support, Not-in-family, White, Female, 3325, 0, 42, United-States, <=50K -44, Federal-gov, 243636, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Local-gov, 194417, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -24, Private, 236696, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Private, 337130, 1st-4th, 2, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -29, Private, 273051, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 52, Yugoslavia, >50K -38, Private, 186191, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, <=50K -33, Private, 268451, Some-college, 10, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -61, Private, 154600, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 4, United-States, <=50K -49, Local-gov, 405309, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -51, Self-emp-not-inc, 99185, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -42, Private, 191765, HS-grad, 9, Divorced, Other-service, Other-relative, Black, Female, 0, 0, 35, United-States, <=50K -21, Private, 253583, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -29, ?, 297054, HS-grad, 9, Divorced, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 204397, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -23, Private, 288771, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -52, Private, 173987, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Local-gov, 33662, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 7298, 0, 40, United-States, >50K -23, Private, 91658, Some-college, 10, Divorced, Handlers-cleaners, Own-child, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 226902, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 80, United-States, >50K -45, Private, 232586, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -51, Self-emp-not-inc, 291755, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, <=50K -29, ?, 207032, HS-grad, 9, Married-spouse-absent, ?, Unmarried, Black, Female, 0, 0, 42, Haiti, <=50K -23, Private, 161478, Some-college, 10, Never-married, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -73, Self-emp-not-inc, 109833, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -47, Self-emp-not-inc, 229394, 11th, 7, Divorced, Exec-managerial, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -61, ?, 69285, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 37, United-States, <=50K -26, Private, 491862, Assoc-voc, 11, Never-married, Exec-managerial, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -40, Private, 311534, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Self-emp-not-inc, 420895, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 47, United-States, <=50K -39, Private, 226374, 10th, 6, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -33, Federal-gov, 101345, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 48779, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 35, United-States, <=50K -42, Private, 152676, HS-grad, 9, Divorced, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 164877, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -33, Private, 97521, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 88564, 5th-6th, 3, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 20, United-States, <=50K -33, Private, 188246, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 189185, HS-grad, 9, Divorced, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -42, State-gov, 163069, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -28, Private, 251905, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 112403, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K -18, Private, 36882, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -33, Self-emp-not-inc, 195891, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 194905, Bachelors, 13, Widowed, Prof-specialty, Unmarried, White, Female, 0, 0, 44, United-States, <=50K -33, Private, 133503, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 7688, 0, 48, United-States, >50K -40, Private, 31621, HS-grad, 9, Married-spouse-absent, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -57, Self-emp-not-inc, 413373, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 40, United-States, >50K -40, Private, 196029, HS-grad, 9, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -36, Private, 107302, HS-grad, 9, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 50, United-States, <=50K -45, Private, 151267, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, Black, Female, 0, 0, 40, United-States, >50K -52, Private, 256861, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 82777, HS-grad, 9, Separated, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 147430, HS-grad, 9, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, ?, 60726, HS-grad, 9, Never-married, ?, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -46, Self-emp-not-inc, 165754, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -36, Private, 448337, HS-grad, 9, Separated, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 185079, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -36, Private, 418702, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 41504, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Private, 387335, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 1719, 9, United-States, <=50K -18, Private, 261720, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -38, Private, 133963, Bachelors, 13, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -66, ?, 357750, 11th, 7, Widowed, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -36, State-gov, 179488, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 7298, 0, 55, United-States, >50K -38, Private, 60135, HS-grad, 9, Never-married, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -55, Self-emp-not-inc, 308746, Prof-school, 15, Widowed, Prof-specialty, Not-in-family, White, Male, 0, 0, 55, United-States, >50K -27, Private, 278720, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, >50K -22, State-gov, 477505, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 164711, Some-college, 10, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 208277, Some-college, 10, Never-married, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 39943, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -49, Private, 104542, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 286634, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 50, United-States, >50K -28, Private, 142712, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -26, Private, 336404, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 117983, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 41, United-States, <=50K -72, ?, 108796, Prof-school, 15, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 59469, Masters, 14, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Iran, <=50K -37, Private, 171968, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -56, ?, 119254, 10th, 6, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 278617, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 72338, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -49, Local-gov, 343231, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -30, Private, 63910, HS-grad, 9, Married-civ-spouse, Sales, Own-child, Asian-Pac-Islander, Female, 0, 0, 40, United-States, <=50K -28, Private, 190350, 9th, 5, Married-civ-spouse, Protective-serv, Wife, Black, Female, 0, 0, 40, United-States, <=50K -25, State-gov, 176162, Bachelors, 13, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 37720, 10th, 6, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 421467, Assoc-acdm, 12, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 26, United-States, <=50K -36, Private, 138441, Some-college, 10, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -52, Private, 146767, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -20, ?, 369678, 12th, 8, Never-married, ?, Not-in-family, Other, Male, 0, 1602, 40, United-States, <=50K -25, Private, 160445, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 211695, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 102346, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 2415, 20, United-States, >50K -48, Private, 128796, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -39, Private, 111129, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Local-gov, 44566, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 118497, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -36, Private, 334291, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1887, 40, United-States, >50K -49, Private, 237920, Doctorate, 16, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -34, Local-gov, 136331, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, <=50K -28, Private, 187397, HS-grad, 9, Never-married, Other-service, Other-relative, Other, Male, 0, 0, 48, Mexico, <=50K -28, Self-emp-not-inc, 119793, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 24982, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -26, Self-emp-not-inc, 231714, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 229272, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, >50K -66, ?, 68219, 9th, 5, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Self-emp-not-inc, 268831, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 53, United-States, <=50K -45, Self-emp-not-inc, 149640, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 30, United-States, >50K -29, Private, 261725, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -74, Private, 161387, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -61, Local-gov, 260167, HS-grad, 9, Widowed, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 200928, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 22, United-States, <=50K -53, Federal-gov, 155594, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -57, Self-emp-not-inc, 79539, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -41, Private, 469454, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 331482, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -43, Private, 225193, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -26, ?, 370727, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 1977, 40, United-States, >50K -29, Private, 82393, HS-grad, 9, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Male, 0, 0, 25, Philippines, <=50K -65, ?, 37170, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 20, United-States, <=50K -41, Private, 58484, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 40, United-States, <=50K -31, Local-gov, 156464, Bachelors, 13, Never-married, Prof-specialty, Other-relative, White, Male, 0, 0, 40, ?, <=50K -50, Private, 344621, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -52, Private, 174752, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -18, Self-emp-inc, 174202, HS-grad, 9, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -26, Private, 261203, 7th-8th, 4, Never-married, Other-service, Unmarried, Other, Female, 0, 0, 30, ?, <=50K -57, Private, 316000, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -63, State-gov, 216871, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 1740, 40, United-States, <=50K -29, Private, 246933, HS-grad, 9, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -32, Self-emp-not-inc, 112115, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7688, 0, 40, United-States, >50K -34, Private, 264651, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 99185, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 58, United-States, <=50K -39, Private, 176186, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 100219, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 46691, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, State-gov, 297735, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 90, United-States, <=50K -40, Private, 132222, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 4386, 0, 50, United-States, >50K -25, Private, 189656, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 60, United-States, >50K -54, Local-gov, 224934, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -48, Self-emp-inc, 149218, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 70, United-States, >50K -51, Private, 158508, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -67, State-gov, 261203, 7th-8th, 4, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 35, United-States, <=50K -17, Private, 309504, 10th, 6, Never-married, Sales, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -24, State-gov, 324637, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 267426, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -68, ?, 229016, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 25, United-States, <=50K -54, Private, 46401, Some-college, 10, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 47, United-States, <=50K -32, Private, 114288, HS-grad, 9, Divorced, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -61, ?, 203849, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -41, Federal-gov, 193882, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 311269, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Private, 156117, Assoc-voc, 11, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -64, ?, 169917, 7th-8th, 4, Widowed, ?, Not-in-family, White, Female, 0, 0, 4, United-States, <=50K -51, Private, 222615, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -41, State-gov, 106900, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 7298, 0, 60, United-States, >50K -40, Federal-gov, 78036, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 65, United-States, >50K -27, Private, 380560, HS-grad, 9, Never-married, Farming-fishing, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -41, Private, 167106, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male, 3103, 0, 35, Philippines, >50K -51, Private, 289436, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -36, Private, 749636, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 154120, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 55, United-States, <=50K -43, Private, 105119, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Federal-gov, 181081, HS-grad, 9, Divorced, Adm-clerical, Own-child, Black, Female, 0, 0, 20, United-States, <=50K -31, Private, 182237, 10th, 6, Separated, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 102130, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 65, United-States, >50K -43, Private, 266324, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 99, United-States, >50K -52, Private, 170562, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 240543, 11th, 7, Never-married, Other-service, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Federal-gov, 187046, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -60, Private, 389254, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -47, Private, 179955, Some-college, 10, Widowed, Transport-moving, Unmarried, White, Female, 0, 0, 25, Outlying-US(Guam-USVI-etc), <=50K -21, Private, 197997, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 30, United-States, <=50K -34, Self-emp-inc, 343789, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 55, United-States, >50K -28, Private, 191088, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 1741, 52, United-States, <=50K -40, Local-gov, 141649, Assoc-voc, 11, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 433906, Assoc-acdm, 12, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -48, Private, 207982, Some-college, 10, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -46, Private, 175925, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 40, United-States, <=50K -58, Private, 85767, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 48, United-States, <=50K -32, Self-emp-inc, 281030, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -90, ?, 313986, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -38, Private, 396595, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, >50K -20, ?, 189203, Assoc-acdm, 12, Never-married, ?, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -43, Self-emp-not-inc, 163108, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 99, United-States, <=50K -17, Private, 141590, 11th, 7, Never-married, Priv-house-serv, Own-child, White, Female, 0, 0, 12, United-States, <=50K -36, Private, 137421, 12th, 8, Never-married, Transport-moving, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, ?, <=50K -36, Private, 67728, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 5013, 0, 40, Italy, <=50K -30, Private, 345522, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 3103, 0, 70, United-States, >50K -45, Private, 330087, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 204322, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 50295, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, <=50K -35, Self-emp-not-inc, 147258, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 65, United-States, <=50K -19, Private, 194260, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -56, Private, 437727, 9th, 5, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -64, ?, 34100, Some-college, 10, Widowed, ?, Not-in-family, White, Male, 0, 0, 4, United-States, <=50K -62, ?, 186611, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 280960, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 24, United-States, <=50K -33, Private, 33117, Assoc-acdm, 12, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 169628, Bachelors, 13, Never-married, Sales, Unmarried, Black, Female, 0, 0, 35, United-States, >50K -22, State-gov, 124942, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 45, United-States, <=50K -44, Private, 143368, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 55, United-States, <=50K -37, Private, 255621, HS-grad, 9, Separated, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -34, Self-emp-inc, 154227, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 75, United-States, <=50K -43, Private, 171438, Assoc-voc, 11, Separated, Sales, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -39, Private, 191524, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -30, Private, 377017, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 32, United-States, <=50K -58, Private, 192806, 7th-8th, 4, Never-married, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 33, United-States, <=50K -31, ?, 259120, Some-college, 10, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 10, United-States, <=50K -45, Local-gov, 234195, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -30, Private, 147596, Some-college, 10, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 147251, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 36, United-States, <=50K -50, Private, 176157, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -25, Local-gov, 176162, Assoc-voc, 11, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 30, United-States, <=50K -34, Private, 384150, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 107665, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -72, ?, 82635, 11th, 7, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, State-gov, 165827, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -41, Private, 287306, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 60, United-States, >50K -71, Self-emp-not-inc, 78786, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 10, United-States, <=50K -40, Self-emp-not-inc, 33310, Prof-school, 15, Divorced, Other-service, Not-in-family, White, Female, 0, 2339, 35, United-States, <=50K -22, Private, 349368, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 30, United-States, <=50K -52, Private, 117674, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -30, Private, 310889, Some-college, 10, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -36, ?, 187167, HS-grad, 9, Separated, ?, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -40, Private, 379919, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Federal-gov, 34862, Assoc-acdm, 12, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -44, Private, 201723, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 45, United-States, >50K -38, Local-gov, 161463, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 0, 0, 40, United-States, >50K -46, Private, 186410, Prof-school, 15, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -57, Federal-gov, 62020, Prof-school, 15, Divorced, Exec-managerial, Not-in-family, Black, Male, 0, 0, 55, United-States, >50K -39, Private, 42044, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, Private, 170230, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K -43, Private, 341358, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 199426, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 17, United-States, <=50K -44, Private, 89172, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -22, ?, 148955, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Female, 0, 0, 15, South, <=50K -37, Private, 140673, Some-college, 10, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -20, ?, 71788, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 18, United-States, <=50K -26, State-gov, 326033, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 80, United-States, <=50K -35, Private, 129305, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -28, Private, 171067, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 143582, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 35, Japan, <=50K -17, ?, 171461, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -18, Private, 257980, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 182866, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 69333, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -61, Private, 668362, 1st-4th, 2, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 132879, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -61, Private, 181219, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1848, 40, United-States, >50K -19, ?, 166018, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 120518, HS-grad, 9, Widowed, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -19, Private, 183532, Some-college, 10, Never-married, Handlers-cleaners, Own-child, White, Male, 0, 0, 25, United-States, <=50K -45, Private, 49298, Bachelors, 13, Never-married, Tech-support, Own-child, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 157332, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -37, Private, 213726, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -26, Private, 31143, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -17, ?, 256173, 10th, 6, Never-married, ?, Own-child, White, Female, 0, 0, 15, United-States, <=50K -26, Private, 184872, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 55, United-States, >50K -58, Private, 202652, HS-grad, 9, Separated, Other-service, Unmarried, White, Female, 0, 0, 40, Dominican-Republic, <=50K -61, ?, 101602, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, >50K -64, Private, 60940, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 8614, 0, 50, France, >50K -19, Private, 292590, HS-grad, 9, Married-civ-spouse, Sales, Other-relative, White, Female, 0, 0, 25, United-States, <=50K -36, Private, 141420, Bachelors, 13, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -47, Private, 159389, Assoc-acdm, 12, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 254534, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 89508, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -38, Self-emp-not-inc, 238980, Some-college, 10, Never-married, Sales, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -54, Private, 178946, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, >50K -31, Private, 204752, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -26, Private, 290213, Some-college, 10, Separated, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 102615, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1902, 40, United-States, >50K -41, Private, 291965, Some-college, 10, Never-married, Tech-support, Unmarried, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -52, Local-gov, 175339, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -28, Private, 90547, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 23, United-States, <=50K -23, ?, 449101, HS-grad, 9, Married-civ-spouse, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -46, Self-emp-not-inc, 101722, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3137, 0, 40, United-States, <=50K -32, ?, 981628, HS-grad, 9, Divorced, ?, Unmarried, Black, Male, 0, 0, 40, United-States, <=50K -59, ?, 147989, HS-grad, 9, Widowed, ?, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -30, Self-emp-inc, 204470, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 36, United-States, >50K -58, Local-gov, 311409, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, Black, Male, 7688, 0, 30, United-States, >50K -31, Private, 190027, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, ?, <=50K -36, Private, 218015, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 48, United-States, <=50K -31, State-gov, 77634, Preschool, 1, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 24, United-States, <=50K -52, Self-emp-not-inc, 42984, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, >50K -29, Private, 413297, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 3411, 0, 70, Mexico, <=50K -48, Self-emp-not-inc, 218835, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, England, <=50K -30, Private, 341051, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -58, Private, 252419, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, <=50K -20, Federal-gov, 347935, Some-college, 10, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -19, Private, 237848, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 3, United-States, <=50K -63, Private, 174826, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -51, Self-emp-not-inc, 170086, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 45, United-States, >50K -53, Private, 470368, Assoc-acdm, 12, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -54, Federal-gov, 75235, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 5178, 0, 40, United-States, >50K -35, ?, 35854, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 746432, HS-grad, 9, Never-married, Handlers-cleaners, Own-child, Black, Male, 0, 0, 48, United-States, <=50K -47, Self-emp-not-inc, 258498, Some-college, 10, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 52, United-States, <=50K -44, Private, 176063, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -80, Self-emp-not-inc, 26865, 7th-8th, 4, Never-married, Farming-fishing, Unmarried, White, Male, 0, 0, 20, United-States, <=50K -55, Private, 104724, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -43, Private, 346321, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -49, Private, 402462, Bachelors, 13, Married-spouse-absent, Transport-moving, Unmarried, White, Male, 0, 0, 30, Columbia, <=50K -27, Private, 153078, Prof-school, 15, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, United-States, <=50K -42, Private, 176063, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 55, United-States, >50K -39, Private, 451059, 9th, 5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, ?, 229533, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 106437, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -58, Local-gov, 294313, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, Black, Female, 0, 0, 55, United-States, <=50K -63, Private, 67903, 9th, 5, Separated, Farming-fishing, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 133669, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Self-emp-inc, 251730, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 60, United-States, >50K -46, Private, 72896, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 155664, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, United-States, >50K -39, Private, 206520, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -33, Private, 72338, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 65, Japan, >50K -43, Local-gov, 34640, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Other, Male, 0, 1887, 40, United-States, >50K -30, Private, 236543, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 68, United-States, <=50K -39, Local-gov, 43702, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 37, United-States, <=50K -44, Private, 335248, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 198197, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -80, ?, 281768, Assoc-acdm, 12, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 4, United-States, <=50K -31, Private, 160594, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 3, United-States, <=50K -34, Local-gov, 231826, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, El-Salvador, <=50K -28, Private, 188171, Assoc-acdm, 12, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 60, United-States, <=50K -55, Private, 125000, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Private, 166509, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Private, 402367, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, Black, Male, 7688, 0, 45, United-States, >50K -67, Local-gov, 204123, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 10, United-States, <=50K -53, Self-emp-inc, 220786, Some-college, 10, Widowed, Sales, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -43, Private, 254146, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 40, United-States, >50K -29, Local-gov, 152461, Bachelors, 13, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 42, United-States, <=50K -19, Private, 223669, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -51, Private, 120270, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -21, Self-emp-not-inc, 304602, Assoc-voc, 11, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 98, United-States, <=50K -54, Private, 24108, Some-college, 10, Separated, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 32546, Prof-school, 15, Divorced, Prof-specialty, Unmarried, White, Male, 7430, 0, 40, United-States, >50K -41, Private, 93885, Some-college, 10, Divorced, Sales, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -28, Private, 210765, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 191276, Assoc-voc, 11, Divorced, Handlers-cleaners, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -82, Self-emp-not-inc, 71438, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 330571, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 16, United-States, <=50K -40, Local-gov, 138634, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 112264, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -24, Private, 205865, HS-grad, 9, Never-married, Sales, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -21, Private, 224640, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 180758, Some-college, 10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 30, United-States, <=50K -29, ?, 499935, Assoc-voc, 11, Never-married, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -40, Self-emp-not-inc, 107762, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -17, Private, 214787, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 25, United-States, <=50K -27, Private, 211032, 1st-4th, 2, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -34, Private, 208353, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 157273, 10th, 6, Never-married, Other-service, Other-relative, Black, Male, 0, 0, 15, United-States, <=50K -39, Private, 75891, Bachelors, 13, Divorced, Tech-support, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Self-emp-inc, 177675, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 65, United-States, >50K -44, Private, 182370, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 200525, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -39, Private, 174242, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 60, United-States, >50K -28, Private, 95566, 1st-4th, 2, Married-spouse-absent, Other-service, Own-child, Other, Female, 0, 0, 35, Dominican-Republic, <=50K -30, Private, 30290, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -60, Private, 240951, HS-grad, 9, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 183810, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 24, United-States, <=50K -49, Private, 94342, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, <=50K -61, Self-emp-inc, 148577, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -27, Private, 103634, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -59, Self-emp-not-inc, 83542, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -52, Federal-gov, 76131, Some-college, 10, Married-civ-spouse, Exec-managerial, Wife, Asian-Pac-Islander, Female, 0, 0, 40, United-States, >50K -42, Federal-gov, 262402, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -27, Private, 198286, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 34, United-States, <=50K -41, Self-emp-inc, 145441, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -35, ?, 273558, Some-college, 10, Never-married, ?, Not-in-family, Black, Male, 0, 0, 30, United-States, <=50K -50, Local-gov, 117496, Bachelors, 13, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K -36, Private, 128876, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, Private, 199698, HS-grad, 9, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 45, United-States, <=50K -38, Private, 65390, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -46, Private, 128645, Some-college, 10, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 53481, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -55, Private, 92215, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -49, Local-gov, 78859, Masters, 14, Widowed, Prof-specialty, Unmarried, White, Female, 0, 323, 20, United-States, <=50K -59, Self-emp-inc, 187502, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -38, Private, 242080, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 55, United-States, >50K -22, Private, 41837, Some-college, 10, Never-married, Transport-moving, Own-child, White, Male, 0, 0, 25, United-States, <=50K -28, Private, 291374, 12th, 8, Never-married, Sales, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -47, Private, 148995, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 2415, 60, United-States, >50K -59, Private, 159008, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 56, United-States, <=50K -37, Private, 271013, HS-grad, 9, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 199046, Bachelors, 13, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 164280, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, Portugal, <=50K -35, Local-gov, 116960, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 40, United-States, >50K -55, Private, 100054, 10th, 6, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 183824, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 30, United-States, <=50K -48, Private, 313925, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 30, United-States, >50K -48, Private, 379883, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Cuba, >50K -70, ?, 92593, Some-college, 10, Widowed, ?, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -27, Private, 189777, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 198330, Masters, 14, Widowed, Prof-specialty, Unmarried, Black, Female, 0, 0, 37, United-States, <=50K -32, Private, 127451, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 38, United-States, >50K -62, ?, 31577, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 18, United-States, <=50K -18, ?, 90230, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 20, United-States, <=50K -50, Private, 301024, Bachelors, 13, Separated, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, >50K -38, Self-emp-not-inc, 175732, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 15, United-States, <=50K -18, Private, 218889, 9th, 5, Never-married, Other-service, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -46, Private, 117605, 9th, 5, Divorced, Sales, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -26, Private, 154571, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 45, United-States, >50K -44, Private, 228057, 7th-8th, 4, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, Dominican-Republic, <=50K -32, Private, 173998, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -25, Private, 90752, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -55, Private, 51008, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -55, Federal-gov, 113398, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 74977, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 40, United-States, <=50K -40, Private, 101593, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -29, Private, 228346, Assoc-voc, 11, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -60, Private, 180418, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 44489, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, <=50K -43, Self-emp-not-inc, 277488, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -24, Private, 103064, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 0, 55, United-States, <=50K -34, Private, 226872, Bachelors, 13, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Self-emp-not-inc, 330416, Some-college, 10, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -24, Private, 186495, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -47, State-gov, 205712, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 38, United-States, <=50K -18, Private, 217743, 11th, 7, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 52565, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 1485, 40, United-States, <=50K -22, Private, 239954, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -49, Self-emp-not-inc, 349986, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -41, Private, 117585, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1485, 40, United-States, >50K -68, Self-emp-not-inc, 122094, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 15, United-States, <=50K -62, Self-emp-not-inc, 26857, 7th-8th, 4, Widowed, Farming-fishing, Other-relative, White, Female, 0, 0, 35, United-States, <=50K -25, Local-gov, 192321, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 88095, Some-college, 10, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 24, Mexico, <=50K -44, Private, 144067, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 12, ?, <=50K -32, Private, 124187, 9th, 5, Married-civ-spouse, Farming-fishing, Husband, Black, Male, 0, 0, 40, United-States, <=50K -49, Private, 123681, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 43, United-States, >50K -68, Private, 145638, Some-college, 10, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 130513, Assoc-acdm, 12, Never-married, Sales, Own-child, White, Female, 0, 0, 40, Peru, <=50K -47, Federal-gov, 197038, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -35, Private, 189092, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -37, Self-emp-not-inc, 198841, 11th, 7, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 317969, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, <=50K -37, Private, 103121, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 1848, 40, United-States, >50K -34, Private, 111589, 10th, 6, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K -46, Local-gov, 267952, Assoc-voc, 11, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 36, United-States, <=50K -21, Private, 63899, 11th, 7, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 473625, HS-grad, 9, Married-civ-spouse, Other-service, Wife, White, Female, 0, 0, 30, United-States, <=50K -45, Private, 187901, HS-grad, 9, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 2258, 44, United-States, >50K -17, Private, 24090, HS-grad, 9, Never-married, Exec-managerial, Own-child, White, Female, 0, 0, 35, United-States, <=50K -36, Self-emp-inc, 102729, Assoc-acdm, 12, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 70, United-States, <=50K -33, Private, 91666, 12th, 8, Divorced, Exec-managerial, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 215873, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 40, United-States, <=50K -32, Private, 152109, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -24, Private, 175586, HS-grad, 9, Never-married, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -37, Private, 232614, HS-grad, 9, Divorced, Other-service, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -53, State-gov, 229465, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Private, 147110, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 14344, 0, 40, United-States, >50K -43, Local-gov, 161240, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 45, United-States, >50K -29, Private, 358124, HS-grad, 9, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 52, United-States, <=50K -47, Private, 222529, Bachelors, 13, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 65, United-States, <=50K -37, Self-emp-not-inc, 338320, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -43, Self-emp-inc, 62026, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -23, Private, 263886, Some-college, 10, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 20, United-States, <=50K -50, Private, 310774, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 35, United-States, <=50K -25, Private, 98155, Some-college, 10, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 259307, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -39, Private, 358753, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 7688, 0, 40, United-States, >50K -41, Private, 29762, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -32, Private, 202729, HS-grad, 9, Married-civ-spouse, Transport-moving, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 28790, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, Private, 53209, HS-grad, 9, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Local-gov, 169020, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -34, Private, 127195, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 211731, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, Mexico, <=50K -42, Self-emp-not-inc, 126614, Bachelors, 13, Divorced, Exec-managerial, Not-in-family, Other, Male, 0, 0, 30, Iran, <=50K -45, Private, 259463, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 228411, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -25, Private, 117827, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Federal-gov, 57216, Some-college, 10, Never-married, Adm-clerical, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -46, State-gov, 250821, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 15024, 0, 40, United-States, >50K -48, Self-emp-inc, 88564, Some-college, 10, Divorced, Farming-fishing, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -45, Private, 172822, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 52, United-States, >50K -19, Private, 251579, Some-college, 10, Never-married, Other-service, Own-child, White, Male, 0, 0, 14, United-States, <=50K -31, Private, 118399, 11th, 7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-inc, 178383, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 70, United-States, <=50K -40, Self-emp-not-inc, 170866, Assoc-acdm, 12, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -60, ?, 268954, Some-college, 10, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 12, United-States, >50K -52, ?, 89951, 12th, 8, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, >50K -22, Private, 203894, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 15, United-States, <=50K -25, Private, 237065, Some-college, 10, Divorced, Other-service, Own-child, Black, Male, 0, 0, 38, United-States, <=50K -51, Local-gov, 108435, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 80, United-States, >50K -32, Private, 93213, Assoc-acdm, 12, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 62, United-States, <=50K -51, Self-emp-inc, 231230, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 25, United-States, <=50K -42, Private, 386175, Some-college, 10, Divorced, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -39, Private, 128392, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 1887, 40, United-States, >50K -24, Private, 223515, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -52, Private, 208630, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 1741, 38, United-States, <=50K -58, ?, 97969, 1st-4th, 2, Married-spouse-absent, ?, Unmarried, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -43, Private, 174295, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -31, Private, 60229, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 66095, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -31, Federal-gov, 130057, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 60, United-States, >50K -61, Private, 179743, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2051, 20, United-States, <=50K -26, Private, 192022, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 45288, Bachelors, 13, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -62, ?, 178764, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 99476, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -18, Private, 41973, 11th, 7, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 5, United-States, <=50K -23, Private, 162228, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 48, United-States, <=50K -21, Private, 211968, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 1762, 28, United-States, <=50K -46, Private, 211226, Assoc-acdm, 12, Married-civ-spouse, Transport-moving, Husband, Other, Male, 0, 0, 36, United-States, <=50K -38, Private, 33397, HS-grad, 9, Divorced, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -53, Private, 120839, 12th, 8, Divorced, Farming-fishing, Own-child, White, Male, 0, 0, 40, United-States, <=50K -53, Private, 36327, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -50, Private, 139703, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -26, Private, 107827, HS-grad, 9, Never-married, Other-service, Unmarried, White, Male, 0, 0, 25, United-States, <=50K -46, Local-gov, 140219, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 8614, 0, 55, United-States, >50K -44, Local-gov, 203761, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -36, Local-gov, 114719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -20, Private, 344394, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -35, Private, 195516, 7th-8th, 4, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, Mexico, <=50K -40, State-gov, 31627, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 20, United-States, <=50K -70, Private, 174032, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Private, 226875, 7th-8th, 4, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, <=50K -40, Private, 566537, Preschool, 1, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1672, 40, Mexico, <=50K -18, Private, 36162, 11th, 7, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 5, United-States, <=50K -45, Self-emp-not-inc, 31478, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 2829, 0, 60, United-States, <=50K -52, Private, 294991, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -24, ?, 108495, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -42, Self-emp-inc, 161532, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 60, United-States, <=50K -28, Local-gov, 332249, HS-grad, 9, Separated, Transport-moving, Own-child, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 268147, Assoc-voc, 11, Never-married, Tech-support, Unmarried, White, Female, 0, 0, 60, United-States, <=50K -56, Federal-gov, 317847, Bachelors, 13, Divorced, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -44, Private, 52028, 1st-4th, 2, Married-civ-spouse, Other-service, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Vietnam, <=50K -20, Private, 184045, Some-college, 10, Never-married, Sales, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -32, Private, 206609, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -59, Private, 152968, Some-college, 10, Separated, Adm-clerical, Other-relative, White, Male, 3325, 0, 40, United-States, <=50K -21, Private, 213015, HS-grad, 9, Never-married, Handlers-cleaners, Other-relative, Black, Male, 2176, 0, 40, United-States, <=50K -32, Private, 313835, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -49, Private, 66385, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 5013, 0, 40, United-States, <=50K -22, Private, 205940, Bachelors, 13, Never-married, Adm-clerical, Own-child, White, Female, 1055, 0, 30, United-States, <=50K -51, Self-emp-inc, 260938, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 60567, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 3411, 0, 40, United-States, <=50K -23, Private, 335067, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 331126, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Male, 0, 0, 30, United-States, <=50K -53, Private, 156612, 12th, 8, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 188436, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 45, United-States, <=50K -60, Private, 227468, Some-college, 10, Widowed, Protective-serv, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -55, Private, 183580, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 38, United-States, <=50K -57, Self-emp-not-inc, 50990, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 30, United-States, <=50K -59, Private, 384246, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -26, ?, 375313, Some-college, 10, Never-married, ?, Own-child, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, <=50K -30, Private, 176410, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Own-child, White, Female, 7298, 0, 16, United-States, >50K -49, Private, 93639, Bachelors, 13, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 43, United-States, <=50K -45, Private, 30289, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Self-emp-inc, 124950, Bachelors, 13, Never-married, Sales, Own-child, White, Female, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 126675, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 60, United-States, >50K -21, Private, 145964, 12th, 8, Never-married, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 345712, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, ?, 97474, HS-grad, 9, Never-married, ?, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 180342, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -19, Private, 167087, HS-grad, 9, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -65, ?, 192825, 7th-8th, 4, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -30, Private, 318749, Assoc-voc, 11, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 35, Germany, <=50K -27, ?, 147638, Masters, 14, Never-married, ?, Not-in-family, Other, Female, 0, 0, 40, Japan, <=50K -59, Federal-gov, 293971, Some-college, 10, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, >50K -32, Private, 229566, Assoc-voc, 11, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 60, United-States, >50K -25, Private, 242464, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 111067, Bachelors, 13, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 80, United-States, >50K -21, ?, 155697, 9th, 5, Never-married, ?, Own-child, White, Male, 0, 0, 42, United-States, <=50K -49, Local-gov, 106554, Bachelors, 13, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 40, United-States, >50K -49, Private, 23776, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -51, ?, 43909, HS-grad, 9, Divorced, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -48, Private, 105808, 9th, 5, Widowed, Transport-moving, Unmarried, White, Male, 0, 0, 40, United-States, >50K -42, Private, 169995, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 141388, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Self-emp-not-inc, 241431, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -21, ?, 78374, HS-grad, 9, Never-married, ?, Other-relative, Asian-Pac-Islander, Female, 0, 0, 24, United-States, <=50K -54, Self-emp-not-inc, 158948, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 15, United-States, <=50K -66, Private, 115498, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 55, ?, >50K -34, Private, 272411, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -39, Private, 30529, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1887, 40, United-States, >50K -62, ?, 263374, Assoc-voc, 11, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 40, Canada, <=50K -30, Private, 190228, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 126060, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -25, Private, 391192, Assoc-voc, 11, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -26, Private, 214069, HS-grad, 9, Separated, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 170871, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 60, United-States, >50K -55, Private, 118993, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -26, Private, 245880, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 174794, Bachelors, 13, Separated, Prof-specialty, Unmarried, White, Female, 0, 0, 56, Germany, <=50K -61, Local-gov, 153408, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -34, ?, 330301, 7th-8th, 4, Separated, ?, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -26, Private, 385278, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Black, Male, 0, 0, 60, United-States, <=50K -44, Federal-gov, 38434, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 111679, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 30, United-States, <=50K -55, Private, 168956, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 86143, Some-college, 10, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 0, 0, 30, United-States, <=50K -48, Private, 99835, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 263561, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 60, United-States, <=50K -44, Private, 118536, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -32, Self-emp-inc, 209691, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, Canada, <=50K -54, Private, 123374, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 137225, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -29, Private, 119359, HS-grad, 9, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female, 0, 0, 10, China, >50K -56, Private, 134153, 10th, 6, Married-civ-spouse, Adm-clerical, Husband, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 121124, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 147655, Some-college, 10, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -46, Private, 165138, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Federal-gov, 312017, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 272950, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 259323, HS-grad, 9, Divorced, Craft-repair, Unmarried, White, Male, 0, 0, 40, United-States, <=50K -44, Federal-gov, 281739, Some-college, 10, Never-married, Adm-clerical, Not-in-family, White, Male, 13550, 0, 50, United-States, >50K -21, Private, 119156, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 165881, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -23, State-gov, 136075, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -50, Private, 187465, 11th, 7, Divorced, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -44, Private, 328561, Assoc-voc, 11, Married-civ-spouse, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -48, Private, 350440, Some-college, 10, Married-civ-spouse, Craft-repair, Other-relative, Asian-Pac-Islander, Male, 0, 0, 40, Cambodia, >50K -38, Self-emp-not-inc, 109133, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 70, United-States, >50K -48, Private, 109814, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K -39, Private, 86643, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -52, Federal-gov, 154521, HS-grad, 9, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 44, United-States, >50K -63, Private, 45912, HS-grad, 9, Widowed, Other-service, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -48, Private, 175070, HS-grad, 9, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 2258, 40, United-States, >50K -37, Private, 338033, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -26, State-gov, 158963, Masters, 14, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Self-emp-inc, 121441, 11th, 7, Never-married, Exec-managerial, Other-relative, White, Male, 0, 2444, 40, United-States, >50K -47, Self-emp-not-inc, 242391, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -19, Private, 119964, HS-grad, 9, Never-married, Craft-repair, Other-relative, White, Female, 0, 0, 15, United-States, <=50K -34, Private, 193344, Some-college, 10, Never-married, Adm-clerical, Unmarried, White, Female, 0, 0, 40, Germany, <=50K -29, Local-gov, 45554, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 249716, HS-grad, 9, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -53, Private, 58985, Some-college, 10, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 24, United-States, <=50K -24, Private, 456367, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -39, Private, 117381, Some-college, 10, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -50, Self-emp-not-inc, 240922, Assoc-acdm, 12, Never-married, Sales, Not-in-family, White, Female, 0, 1408, 5, United-States, <=50K -31, Private, 226443, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 364342, Assoc-voc, 11, Never-married, Sales, Not-in-family, Black, Female, 0, 0, 25, United-States, <=50K -42, Local-gov, 101593, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 42, United-States, <=50K -23, Private, 267471, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 25, United-States, <=50K -22, Private, 186849, 11th, 7, Divorced, Sales, Own-child, White, Male, 0, 0, 50, United-States, <=50K -65, Private, 174603, 5th-6th, 3, Widowed, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 10, Italy, <=50K -34, Private, 115040, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 44, United-States, <=50K -23, Private, 142766, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 1055, 0, 20, United-States, <=50K -38, Private, 59660, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -45, Self-emp-not-inc, 49595, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 80, United-States, <=50K -19, Private, 127491, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 155933, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 1602, 8, United-States, <=50K -23, Private, 122272, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 20, United-States, <=50K -37, Private, 143771, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -59, Private, 91384, Bachelors, 13, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 135874, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Private, 207066, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 10520, 0, 45, United-States, >50K -51, Private, 172493, Some-college, 10, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 12, United-States, <=50K -42, Local-gov, 189956, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 0, 0, 30, United-States, <=50K -35, Private, 106967, Masters, 14, Never-married, Sales, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -20, Private, 200153, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 38, United-States, <=50K -25, Private, 149943, HS-grad, 9, Never-married, Other-service, Other-relative, Asian-Pac-Islander, Male, 4101, 0, 60, ?, <=50K -41, Private, 151736, 10th, 6, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -40, Private, 67852, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -36, Private, 54229, Assoc-acdm, 12, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 37, United-States, <=50K -34, Self-emp-inc, 154120, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, >50K -44, Self-emp-not-inc, 157217, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 42, United-States, <=50K -31, Federal-gov, 381645, Bachelors, 13, Separated, Prof-specialty, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -41, Local-gov, 160785, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 133584, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -43, Private, 170230, Masters, 14, Never-married, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -58, Private, 250206, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 5178, 0, 40, United-States, >50K -19, Private, 128363, Some-college, 10, Never-married, Sales, Own-child, White, Female, 0, 0, 30, United-States, <=50K -43, Local-gov, 163434, Bachelors, 13, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 55, United-States, >50K -50, Private, 195690, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 45, United-States, <=50K -44, Self-emp-inc, 138991, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -46, Private, 118419, HS-grad, 9, Divorced, Machine-op-inspct, Unmarried, White, Male, 0, 0, 38, United-States, <=50K -52, Self-emp-not-inc, 185407, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -52, Self-emp-not-inc, 283079, HS-grad, 9, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -18, Private, 119655, 12th, 8, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 12, United-States, <=50K -29, Private, 153416, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, <=50K -19, ?, 204868, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 36, United-States, <=50K -34, Private, 220362, Bachelors, 13, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -23, Local-gov, 203078, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, Black, Male, 0, 0, 40, United-States, <=50K -64, State-gov, 104361, Some-college, 10, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 65, United-States, <=50K -68, Private, 274096, 10th, 6, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -42, State-gov, 455553, HS-grad, 9, Never-married, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 112283, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 60, United-States, >50K -41, Self-emp-inc, 64506, HS-grad, 9, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, <=50K -22, State-gov, 24395, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, <=50K -67, Self-emp-inc, 182581, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 20051, 0, 20, United-States, >50K -27, Private, 100669, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male, 0, 0, 40, Philippines, >50K -25, Private, 178025, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -49, ?, 113913, HS-grad, 9, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 60, United-States, <=50K -28, Private, 55191, Assoc-acdm, 12, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -51, Federal-gov, 223206, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male, 15024, 0, 40, Vietnam, >50K -23, Local-gov, 162551, Bachelors, 13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, China, <=50K -19, Private, 693066, 12th, 8, Never-married, Other-service, Own-child, White, Female, 0, 0, 15, United-States, <=50K -72, ?, 96867, 5th-6th, 3, Widowed, ?, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 256362, Some-college, 10, Never-married, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -53, Private, 539864, Some-college, 10, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 20, United-States, <=50K -35, Private, 241153, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 284395, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -18, Private, 180039, 12th, 8, Never-married, Sales, Own-child, White, Female, 0, 0, 20, United-States, <=50K -45, Private, 178416, Assoc-voc, 11, Divorced, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 175710, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Female, 0, 0, 30, ?, <=50K -22, Local-gov, 164775, 5th-6th, 3, Never-married, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Guatemala, >50K -55, Private, 176897, Some-college, 10, Divorced, Tech-support, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 265097, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 1902, 40, United-States, >50K -22, Private, 193090, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -37, Private, 186009, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1672, 60, United-States, <=50K -28, Private, 175262, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -19, Private, 109928, 11th, 7, Never-married, Sales, Own-child, Black, Female, 0, 0, 35, United-States, <=50K -37, Self-emp-not-inc, 162834, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 1902, 45, United-States, >50K -50, Private, 177896, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, >50K -31, Private, 181372, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 70645, Preschool, 1, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 20, United-States, <=50K -51, Private, 128272, 9th, 5, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -56, Private, 106723, HS-grad, 9, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -21, Private, 122348, Some-college, 10, Never-married, Tech-support, Own-child, White, Female, 0, 0, 35, United-States, <=50K -40, Private, 177905, Assoc-voc, 11, Married-civ-spouse, Exec-managerial, Husband, White, Male, 7688, 0, 44, United-States, >50K -22, Private, 254547, Some-college, 10, Never-married, Exec-managerial, Unmarried, Black, Female, 0, 0, 40, Jamaica, <=50K -47, Self-emp-inc, 102308, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 2415, 45, United-States, >50K -44, Private, 33105, HS-grad, 9, Married-civ-spouse, Exec-managerial, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -30, Private, 215441, Some-college, 10, Never-married, Adm-clerical, Not-in-family, Other, Male, 0, 0, 40, ?, <=50K -44, Local-gov, 197919, Some-college, 10, Divorced, Other-service, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -41, Private, 206139, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Private, 117849, Assoc-acdm, 12, Divorced, Sales, Own-child, White, Male, 0, 0, 44, United-States, <=50K -26, Private, 323044, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, Germany, >50K -34, Private, 90415, Assoc-voc, 11, Never-married, Tech-support, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -47, Private, 294913, Prof-school, 15, Married-civ-spouse, Exec-managerial, Husband, White, Male, 99999, 0, 40, United-States, >50K -36, Private, 127573, HS-grad, 9, Separated, Adm-clerical, Not-in-family, White, Female, 0, 0, 38, United-States, <=50K -21, Private, 180190, Assoc-voc, 11, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 46, United-States, <=50K -45, State-gov, 231013, Bachelors, 13, Divorced, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -33, Private, 356015, HS-grad, 9, Separated, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male, 0, 0, 35, Hong, <=50K -33, Private, 198069, HS-grad, 9, Never-married, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -58, Self-emp-not-inc, 99141, HS-grad, 9, Divorced, Farming-fishing, Unmarried, White, Female, 0, 0, 10, United-States, <=50K -31, Private, 188246, Assoc-acdm, 12, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, >50K -32, Self-emp-not-inc, 116508, Some-college, 10, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 50, United-States, >50K -44, Federal-gov, 38434, Bachelors, 13, Widowed, Exec-managerial, Unmarried, White, Female, 0, 0, 40, United-States, >50K -24, Private, 128477, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -35, Private, 91839, Bachelors, 13, Married-civ-spouse, Other-service, Husband, Amer-Indian-Eskimo, Male, 7688, 0, 20, United-States, >50K -43, Private, 409922, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 50, United-States, >50K -49, Private, 185041, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Self-emp-not-inc, 103925, Bachelors, 13, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 50, United-States, <=50K -42, Self-emp-not-inc, 34037, Bachelors, 13, Never-married, Farming-fishing, Own-child, White, Male, 0, 0, 35, United-States, <=50K -31, Private, 251659, Some-college, 10, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male, 0, 1485, 55, ?, >50K -19, Private, 57145, HS-grad, 9, Never-married, Other-service, Own-child, White, Female, 0, 0, 25, United-States, <=50K -41, Private, 182108, Doctorate, 16, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, >50K -51, Self-emp-inc, 213296, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 30, United-States, <=50K -51, Self-emp-inc, 28765, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -63, Private, 37792, 10th, 6, Widowed, Other-service, Not-in-family, White, Female, 0, 0, 31, United-States, <=50K -39, Federal-gov, 232036, Some-college, 10, Married-civ-spouse, Adm-clerical, Husband, White, Male, 0, 0, 40, United-States, >50K -30, Private, 33678, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -62, Without-pay, 159908, Some-college, 10, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 16, United-States, <=50K -27, Private, 176761, HS-grad, 9, Never-married, Craft-repair, Other-relative, Other, Male, 0, 0, 40, Nicaragua, <=50K -32, Private, 260954, 11th, 7, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 2042, 30, United-States, <=50K -37, Local-gov, 180342, Bachelors, 13, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, >50K -47, Local-gov, 324791, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1887, 50, United-States, >50K -31, Private, 183801, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1902, 43, United-States, >50K -42, Private, 204235, HS-grad, 9, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 249720, Assoc-voc, 11, Married-spouse-absent, Sales, Unmarried, Black, Female, 0, 0, 32, United-States, <=50K -60, Private, 127084, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 2042, 34, United-States, <=50K -42, Local-gov, 201495, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 72, United-States, >50K -38, Private, 447346, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 36, United-States, >50K -24, Private, 206008, Assoc-acdm, 12, Never-married, Prof-specialty, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -34, Private, 286020, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 45, United-States, <=50K -20, ?, 99891, Some-college, 10, Never-married, ?, Own-child, White, Female, 0, 0, 30, United-States, <=50K -29, Local-gov, 169544, Some-college, 10, Never-married, Protective-serv, Own-child, White, Male, 0, 0, 48, United-States, <=50K -90, Private, 313749, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 25, United-States, <=50K -55, Private, 89182, 12th, 8, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, Italy, <=50K -36, Private, 258102, HS-grad, 9, Never-married, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -49, Private, 255466, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 60, United-States, <=50K -50, Private, 38795, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -17, Private, 311907, 11th, 7, Never-married, Other-service, Own-child, White, Male, 0, 0, 25, United-States, <=50K -54, Private, 171924, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K -26, Private, 164488, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 10, United-States, <=50K -44, Private, 297991, Assoc-acdm, 12, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 50, United-States, <=50K -28, Private, 478315, Bachelors, 13, Never-married, Prof-specialty, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -54, Local-gov, 34832, Doctorate, 16, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -21, Private, 67804, 9th, 5, Never-married, Machine-op-inspct, Own-child, Black, Male, 0, 0, 20, United-States, <=50K -24, Private, 34568, Assoc-voc, 11, Never-married, Transport-moving, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 47151, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K -59, ?, 120617, Some-college, 10, Never-married, ?, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 318046, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 48, United-States, >50K -29, Private, 363963, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -50, Private, 92811, Bachelors, 13, Married-civ-spouse, Tech-support, Husband, White, Male, 0, 0, 40, United-States, <=50K -32, Private, 33678, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 50, United-States, >50K -42, Private, 66118, Some-college, 10, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -47, Private, 160474, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 0, 0, 30, United-States, >50K -44, Private, 159960, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -49, Private, 242987, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, Columbia, <=50K -61, Private, 232719, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -65, Local-gov, 103153, 7th-8th, 4, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1411, 40, United-States, <=50K -45, Local-gov, 162187, HS-grad, 9, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 0, 40, United-States, >50K -59, Private, 207391, HS-grad, 9, Divorced, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -30, Never-worked, 176673, HS-grad, 9, Married-civ-spouse, ?, Wife, Black, Female, 0, 0, 40, United-States, <=50K -34, Private, 356882, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -24, Private, 427686, 1st-4th, 2, Married-civ-spouse, Handlers-cleaners, Other-relative, White, Male, 0, 0, 40, Mexico, <=50K -42, Self-emp-inc, 191196, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 1977, 60, ?, >50K -37, Private, 377798, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 3103, 0, 40, United-States, >50K -36, Private, 43712, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -21, ?, 205939, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -54, Private, 161691, Masters, 14, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 2559, 40, United-States, >50K -34, Private, 346034, 12th, 8, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male, 0, 0, 35, Mexico, <=50K -41, Private, 144460, Some-college, 10, Divorced, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, Italy, <=50K -18, Never-worked, 153663, Some-college, 10, Never-married, ?, Own-child, White, Male, 0, 0, 4, United-States, <=50K -26, Private, 262617, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -23, Federal-gov, 173851, HS-grad, 9, Never-married, Armed-Forces, Not-in-family, White, Male, 0, 0, 8, United-States, <=50K -63, ?, 126540, Some-college, 10, Divorced, ?, Not-in-family, White, Female, 0, 0, 5, United-States, <=50K -34, Private, 117963, Bachelors, 13, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, >50K -54, Private, 219737, HS-grad, 9, Widowed, Sales, Not-in-family, White, Female, 0, 0, 37, United-States, <=50K -37, Private, 328466, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, Mexico, <=50K -54, State-gov, 138852, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Local-gov, 195532, Some-college, 10, Never-married, Protective-serv, Other-relative, White, Female, 0, 0, 43, United-States, <=50K -32, Private, 188246, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -42, State-gov, 138162, Some-college, 10, Divorced, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, State-gov, 110714, Some-college, 10, Never-married, Other-service, Own-child, White, Female, 0, 0, 37, United-States, <=50K -48, Private, 123075, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, United-States, >50K -28, Private, 330466, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 40, Hong, <=50K -31, Private, 254304, 10th, 6, Divorced, Craft-repair, Not-in-family, White, Male, 0, 0, 38, United-States, <=50K -28, Private, 435842, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, <=50K -24, Private, 118657, 12th, 8, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 278188, HS-grad, 9, Divorced, Craft-repair, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -26, Private, 233777, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 72, Mexico, <=50K -37, Self-emp-inc, 328466, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 50, United-States, >50K -24, Private, 176580, 5th-6th, 3, Married-spouse-absent, Farming-fishing, Not-in-family, White, Male, 0, 0, 40, Mexico, <=50K -18, ?, 156608, 11th, 7, Never-married, ?, Own-child, White, Female, 0, 0, 25, United-States, <=50K -32, Private, 172415, HS-grad, 9, Never-married, Other-service, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -23, Private, 194951, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 55, Ireland, <=50K -33, Local-gov, 318921, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Female, 0, 0, 35, United-States, <=50K -49, Private, 189462, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -75, Self-emp-not-inc, 192813, Masters, 14, Widowed, Sales, Not-in-family, White, Male, 0, 0, 45, United-States, <=50K -74, Self-emp-not-inc, 199136, Bachelors, 13, Widowed, Craft-repair, Not-in-family, White, Male, 15831, 0, 8, Germany, >50K -26, Private, 156805, Some-college, 10, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male, 0, 0, 40, United-States, <=50K -66, ?, 93318, HS-grad, 9, Widowed, ?, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -34, Private, 121966, Bachelors, 13, Married-spouse-absent, Adm-clerical, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -18, Private, 347336, 12th, 8, Never-married, Other-service, Own-child, White, Male, 0, 0, 12, United-States, <=50K -33, Private, 205950, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -36, State-gov, 212143, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -44, Private, 187821, Bachelors, 13, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 55, United-States, <=50K -36, Private, 250807, 11th, 7, Never-married, Craft-repair, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -53, Private, 291755, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -60, Private, 36077, 7th-8th, 4, Married-spouse-absent, Machine-op-inspct, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -28, Private, 119793, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, Portugal, <=50K -36, Private, 184655, 10th, 6, Divorced, Transport-moving, Unmarried, White, Male, 0, 0, 48, United-States, <=50K -35, Private, 162256, Assoc-voc, 11, Divorced, Adm-clerical, Not-in-family, White, Female, 6849, 0, 40, United-States, <=50K -45, Self-emp-not-inc, 204405, Assoc-voc, 11, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 20, United-States, <=50K -23, Private, 133355, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 15, United-States, <=50K -35, Private, 89559, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 55, United-States, <=50K -34, Private, 115066, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 42, United-States, >50K -46, Private, 139514, Preschool, 1, Married-civ-spouse, Machine-op-inspct, Other-relative, Black, Male, 0, 0, 75, Dominican-Republic, <=50K -58, State-gov, 200316, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Local-gov, 166502, Masters, 14, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -63, Private, 226422, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -41, Self-emp-not-inc, 251305, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 190482, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 76, United-States, <=50K -41, Private, 122215, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 40, United-States, >50K -42, Private, 248356, HS-grad, 9, Never-married, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -90, Local-gov, 214594, 7th-8th, 4, Married-civ-spouse, Protective-serv, Husband, White, Male, 2653, 0, 40, United-States, <=50K -41, Private, 220460, HS-grad, 9, Never-married, Sales, Own-child, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 174043, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -53, Self-emp-not-inc, 137547, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male, 27828, 0, 40, Philippines, >50K -49, Self-emp-not-inc, 111959, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, Scotland, >50K -51, Private, 40641, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 60, United-States, >50K -22, Private, 205940, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -23, Private, 265077, Assoc-voc, 11, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -59, Private, 395736, HS-grad, 9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male, 0, 0, 40, United-States, >50K -40, Private, 306225, HS-grad, 9, Divorced, Craft-repair, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 40, Japan, <=50K -28, Private, 180299, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 70, United-States, <=50K -39, Private, 214896, HS-grad, 9, Separated, Other-service, Not-in-family, White, Female, 0, 0, 40, El-Salvador, <=50K -25, Private, 273792, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 37, United-States, <=50K -48, State-gov, 224474, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -62, Private, 271431, 9th, 5, Married-civ-spouse, Other-service, Husband, Black, Male, 0, 0, 42, United-States, <=50K -44, Local-gov, 150171, HS-grad, 9, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -28, Federal-gov, 381789, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -62, Private, 170984, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 108256, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -59, Federal-gov, 23789, HS-grad, 9, Married-civ-spouse, Sales, Wife, White, Female, 0, 0, 40, United-States, >50K -20, Private, 176321, Some-college, 10, Never-married, Adm-clerical, Other-relative, White, Female, 0, 0, 20, United-States, <=50K -40, Private, 260425, Assoc-acdm, 12, Separated, Tech-support, Unmarried, White, Female, 1471, 0, 32, United-States, <=50K -47, Private, 248059, Some-college, 10, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 47, United-States, >50K -60, Private, 56248, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -55, Private, 199763, HS-grad, 9, Separated, Protective-serv, Not-in-family, White, Male, 0, 0, 81, United-States, <=50K -18, Private, 200047, 12th, 8, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 35, United-States, <=50K -43, Private, 191712, Bachelors, 13, Never-married, Adm-clerical, Not-in-family, White, Male, 0, 1741, 40, United-States, <=50K -31, Self-emp-not-inc, 156033, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Male, 0, 0, 35, United-States, <=50K -22, Private, 173736, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -56, Private, 135458, HS-grad, 9, Divorced, Tech-support, Not-in-family, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 185660, HS-grad, 9, Separated, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 222005, HS-grad, 9, Never-married, Other-service, Other-relative, White, Male, 0, 0, 30, United-States, <=50K -42, Private, 161510, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 7298, 0, 40, United-States, >50K -53, Local-gov, 186303, Some-college, 10, Married-civ-spouse, Protective-serv, Husband, White, Male, 0, 1887, 40, United-States, >50K -52, Local-gov, 143533, 7th-8th, 4, Never-married, Other-service, Other-relative, Black, Female, 0, 0, 40, United-States, <=50K -42, Private, 288154, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 89, United-States, >50K -48, Private, 325372, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Portugal, <=50K -35, Private, 379959, HS-grad, 9, Divorced, Other-service, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 168387, 11th, 7, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -20, Private, 234640, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -33, Private, 232475, Some-college, 10, Never-married, Sales, Own-child, White, Male, 0, 0, 45, United-States, <=50K -30, Private, 205152, Bachelors, 13, Never-married, Sales, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 112115, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -29, Private, 183854, HS-grad, 9, Never-married, Sales, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -26, Private, 164386, HS-grad, 9, Never-married, Craft-repair, Own-child, White, Male, 0, 0, 48, United-States, <=50K -61, Private, 149620, Some-college, 10, Divorced, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -45, Private, 199590, 5th-6th, 3, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, ?, <=50K -29, Private, 83742, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 45, United-States, <=50K -57, Self-emp-not-inc, 65080, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, >50K -33, Private, 191335, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 1902, 50, United-States, >50K -20, Private, 227778, Some-college, 10, Never-married, Sales, Not-in-family, White, Female, 0, 0, 56, United-States, <=50K -26, Private, 48280, Bachelors, 13, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Private, 66304, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 55, United-States, >50K -23, Private, 45834, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -31, Private, 298995, HS-grad, 9, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 35, United-States, <=50K -47, Private, 161950, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -61, Private, 98776, 11th, 7, Widowed, Handlers-cleaners, Not-in-family, White, Female, 0, 0, 30, United-States, <=50K -35, Private, 102268, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, <=50K -23, Private, 180771, 1st-4th, 2, Married-civ-spouse, Machine-op-inspct, Wife, Amer-Indian-Eskimo, Female, 0, 0, 35, Mexico, <=50K -20, ?, 203992, HS-grad, 9, Never-married, ?, Own-child, White, Male, 0, 0, 40, United-States, <=50K -41, Private, 206878, HS-grad, 9, Divorced, Other-service, Unmarried, White, Female, 0, 0, 32, United-States, <=50K -39, Federal-gov, 110622, Bachelors, 13, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female, 0, 0, 40, Philippines, <=50K -51, Local-gov, 203334, Doctorate, 16, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 45, United-States, >50K -61, Self-emp-not-inc, 50483, 7th-8th, 4, Married-civ-spouse, Farming-fishing, Husband, White, Male, 0, 0, 56, United-States, <=50K -51, Private, 274502, 7th-8th, 4, Divorced, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 48, United-States, <=50K -36, Private, 208068, Preschool, 1, Divorced, Other-service, Not-in-family, Other, Male, 0, 0, 72, Mexico, <=50K -41, Self-emp-not-inc, 168098, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 213307, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Female, 7443, 0, 35, United-States, <=50K -25, Private, 175128, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -37, Private, 40955, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, >50K -19, Private, 60890, HS-grad, 9, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 49, United-States, <=50K -66, Self-emp-not-inc, 102686, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 20, United-States, >50K -23, Private, 190273, Bachelors, 13, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 40, United-States, <=50K -30, Self-emp-not-inc, 176185, Some-college, 10, Married-spouse-absent, Craft-repair, Own-child, White, Male, 0, 0, 60, United-States, >50K -53, Private, 304504, Some-college, 10, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 1887, 45, United-States, >50K -25, Private, 390657, Some-college, 10, Never-married, Other-service, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -18, Private, 41381, HS-grad, 9, Never-married, Sales, Own-child, White, Female, 0, 1602, 20, United-States, <=50K -51, Private, 101432, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 190682, HS-grad, 9, Widowed, Craft-repair, Not-in-family, Black, Female, 0, 1669, 50, United-States, <=50K -53, Private, 158993, HS-grad, 9, Widowed, Machine-op-inspct, Unmarried, Black, Female, 0, 0, 38, United-States, <=50K -17, Private, 117798, 10th, 6, Never-married, Other-service, Own-child, White, Male, 0, 0, 20, United-States, <=50K -61, Private, 137554, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -44, Self-emp-inc, 71556, Masters, 14, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, ?, >50K -38, Private, 257416, 9th, 5, Married-civ-spouse, Transport-moving, Husband, Black, Male, 0, 0, 40, United-States, <=50K -40, Private, 195617, Some-college, 10, Separated, Exec-managerial, Unmarried, White, Female, 0, 0, 20, United-States, <=50K -32, Private, 236318, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 32, United-States, <=50K -46, Private, 42251, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, >50K -50, Private, 257933, Some-college, 10, Divorced, Adm-clerical, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -36, Self-emp-not-inc, 109133, Bachelors, 13, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 50, United-States, >50K -30, Self-emp-not-inc, 261943, 11th, 7, Married-spouse-absent, Craft-repair, Not-in-family, White, Male, 0, 0, 30, Honduras, <=50K -33, Private, 139057, Masters, 14, Married-civ-spouse, Tech-support, Husband, Asian-Pac-Islander, Male, 0, 0, 50, United-States, >50K -36, Private, 237943, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 1977, 45, United-States, >50K -85, Private, 98611, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 3, Poland, <=50K -62, Private, 128092, HS-grad, 9, Widowed, Adm-clerical, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -24, Private, 284317, Bachelors, 13, Never-married, Machine-op-inspct, Not-in-family, White, Female, 0, 0, 32, United-States, <=50K -48, Self-emp-inc, 185041, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 7298, 0, 50, United-States, >50K -58, Local-gov, 223214, HS-grad, 9, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Self-emp-inc, 173664, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 45, United-States, >50K -66, Private, 269665, HS-grad, 9, Widowed, Exec-managerial, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -37, Private, 121521, Prof-school, 15, Married-civ-spouse, Prof-specialty, Husband, White, Male, 15024, 0, 45, United-States, >50K -55, Private, 199713, 9th, 5, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 48, United-States, <=50K -39, Self-emp-not-inc, 193689, HS-grad, 9, Never-married, Exec-managerial, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -58, Self-emp-inc, 181974, Doctorate, 16, Never-married, Prof-specialty, Not-in-family, White, Female, 0, 0, 99, ?, <=50K -50, Private, 485710, Doctorate, 16, Divorced, Prof-specialty, Not-in-family, White, Female, 0, 0, 50, United-States, <=50K -28, Private, 185647, Some-college, 10, Divorced, Handlers-cleaners, Not-in-family, White, Male, 0, 0, 50, United-States, <=50K -34, Private, 30673, Masters, 14, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 55, United-States, <=50K -41, Federal-gov, 160467, Masters, 14, Divorced, Prof-specialty, Unmarried, White, Female, 1506, 0, 40, United-States, <=50K -36, Private, 186819, Assoc-acdm, 12, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 52, United-States, >50K -22, Private, 67234, HS-grad, 9, Never-married, Handlers-cleaners, Unmarried, White, Male, 0, 0, 45, United-States, <=50K -35, Private, 30673, 12th, 8, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 84, United-States, <=50K -49, ?, 114648, 12th, 8, Divorced, ?, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -21, Private, 182117, Assoc-acdm, 12, Never-married, Other-service, Own-child, White, Male, 0, 0, 40, United-States, <=50K -64, State-gov, 222966, 7th-8th, 4, Married-civ-spouse, Other-service, Wife, Black, Female, 0, 0, 40, United-States, <=50K -41, Private, 201495, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -52, Private, 301229, Assoc-voc, 11, Separated, Sales, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -32, Private, 157747, Some-college, 10, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 155382, Some-college, 10, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 25, United-States, <=50K -48, Private, 268083, Some-college, 10, Divorced, Exec-managerial, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -28, Private, 113987, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -24, Private, 216984, Some-college, 10, Married-civ-spouse, Other-service, Own-child, Asian-Pac-Islander, Female, 0, 0, 35, United-States, <=50K -51, Private, 177669, Some-college, 10, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 60, United-States, <=50K -32, Private, 164190, Some-college, 10, Never-married, Exec-managerial, Own-child, White, Male, 0, 0, 40, United-States, <=50K -61, Private, 355645, HS-grad, 9, Married-civ-spouse, Sales, Husband, Black, Male, 0, 0, 40, United-States, <=50K -60, ?, 134152, 9th, 5, Divorced, ?, Not-in-family, Black, Male, 0, 0, 35, United-States, <=50K -33, Private, 63079, HS-grad, 9, Divorced, Adm-clerical, Unmarried, Black, Female, 0, 0, 40, United-States, <=50K -42, Self-emp-not-inc, 217597, HS-grad, 9, Divorced, Sales, Own-child, White, Male, 0, 0, 50, ?, <=50K -24, Private, 381895, 11th, 7, Divorced, Machine-op-inspct, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -82, ?, 403910, HS-grad, 9, Never-married, ?, Not-in-family, White, Male, 0, 0, 3, United-States, <=50K -26, Private, 179010, Some-college, 10, Never-married, Craft-repair, Not-in-family, White, Male, 0, 0, 65, United-States, <=50K -18, Private, 436163, 11th, 7, Never-married, Prof-specialty, Own-child, White, Male, 0, 0, 20, United-States, <=50K -34, Private, 321709, HS-grad, 9, Never-married, Other-service, Not-in-family, White, Female, 0, 0, 28, United-States, <=50K -57, Private, 153918, HS-grad, 9, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -25, Private, 403788, HS-grad, 9, Never-married, Craft-repair, Other-relative, Black, Male, 0, 0, 40, United-States, <=50K -34, Private, 60567, 11th, 7, Divorced, Transport-moving, Unmarried, White, Male, 0, 880, 60, United-States, <=50K -71, Private, 138145, 9th, 5, Married-civ-spouse, Other-service, Husband, White, Male, 0, 0, 40, United-States, <=50K -35, Local-gov, 79649, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 50, United-States, <=50K -47, Private, 312088, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -50, Private, 208630, Masters, 14, Divorced, Sales, Not-in-family, White, Female, 0, 0, 50, United-States, >50K -33, Private, 182401, 10th, 6, Never-married, Adm-clerical, Not-in-family, Black, Male, 0, 0, 40, United-States, <=50K -38, Private, 32916, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 55, United-States, >50K -50, Private, 302372, Bachelors, 13, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 40, United-States, <=50K -45, Private, 155093, 10th, 6, Divorced, Other-service, Not-in-family, Black, Female, 0, 0, 38, Dominican-Republic, <=50K -32, Private, 192965, HS-grad, 9, Separated, Sales, Not-in-family, White, Female, 0, 0, 45, United-States, <=50K -39, Private, 107302, HS-grad, 9, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 45, ?, >50K -25, Local-gov, 514716, Bachelors, 13, Never-married, Adm-clerical, Own-child, Black, Female, 0, 0, 40, United-States, <=50K -20, Private, 270436, HS-grad, 9, Never-married, Machine-op-inspct, Own-child, White, Male, 0, 0, 40, United-States, <=50K -46, Private, 42972, Masters, 14, Married-civ-spouse, Prof-specialty, Wife, White, Female, 0, 0, 22, United-States, >50K -40, Private, 142657, Assoc-voc, 11, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 45, United-States, <=50K -66, Federal-gov, 47358, 10th, 6, Married-civ-spouse, Craft-repair, Husband, White, Male, 3471, 0, 40, United-States, <=50K -30, Private, 176175, Assoc-voc, 11, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 24, United-States, <=50K -36, Private, 131459, 7th-8th, 4, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 40, United-States, <=50K -57, Local-gov, 110417, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, White, Male, 99999, 0, 40, United-States, >50K -46, Private, 364548, Some-college, 10, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 48, United-States, >50K -27, Private, 177398, HS-grad, 9, Never-married, Other-service, Unmarried, White, Female, 0, 0, 64, United-States, <=50K -33, Private, 273243, HS-grad, 9, Married-civ-spouse, Craft-repair, Husband, Black, Male, 0, 0, 40, United-States, <=50K -58, Private, 147707, 11th, 7, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 40, United-States, <=50K -30, Private, 77266, HS-grad, 9, Divorced, Transport-moving, Not-in-family, White, Male, 0, 0, 55, United-States, <=50K -26, Private, 191648, Assoc-acdm, 12, Never-married, Machine-op-inspct, Other-relative, White, Female, 0, 0, 15, United-States, <=50K -81, ?, 120478, Assoc-voc, 11, Divorced, ?, Unmarried, White, Female, 0, 0, 1, ?, <=50K -32, Private, 211349, 10th, 6, Married-civ-spouse, Transport-moving, Husband, White, Male, 0, 0, 40, United-States, <=50K -22, Private, 203715, Some-college, 10, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 40, United-States, <=50K -31, Private, 292592, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Wife, White, Female, 0, 0, 40, United-States, <=50K -29, Private, 125976, HS-grad, 9, Separated, Sales, Unmarried, White, Female, 0, 0, 35, United-States, <=50K -35, ?, 320084, Bachelors, 13, Married-civ-spouse, ?, Wife, White, Female, 0, 0, 55, United-States, >50K -30, ?, 33811, Bachelors, 13, Never-married, ?, Not-in-family, Asian-Pac-Islander, Female, 0, 0, 99, United-States, <=50K -34, Private, 204461, Doctorate, 16, Married-civ-spouse, Prof-specialty, Husband, White, Male, 0, 0, 60, United-States, >50K -54, Private, 337992, Bachelors, 13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male, 0, 0, 50, Japan, >50K -37, Private, 179137, Some-college, 10, Divorced, Adm-clerical, Unmarried, White, Female, 0, 0, 39, United-States, <=50K -22, Private, 325033, 12th, 8, Never-married, Protective-serv, Own-child, Black, Male, 0, 0, 35, United-States, <=50K -34, Private, 160216, Bachelors, 13, Never-married, Exec-managerial, Not-in-family, White, Female, 0, 0, 55, United-States, >50K -30, Private, 345898, HS-grad, 9, Never-married, Craft-repair, Not-in-family, Black, Male, 0, 0, 46, United-States, <=50K -38, Private, 139180, Bachelors, 13, Divorced, Prof-specialty, Unmarried, Black, Female, 15020, 0, 45, United-States, >50K -71, ?, 287372, Doctorate, 16, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 10, United-States, >50K -45, State-gov, 252208, HS-grad, 9, Separated, Adm-clerical, Own-child, White, Female, 0, 0, 40, United-States, <=50K -41, ?, 202822, HS-grad, 9, Separated, ?, Not-in-family, Black, Female, 0, 0, 32, United-States, <=50K -72, ?, 129912, HS-grad, 9, Married-civ-spouse, ?, Husband, White, Male, 0, 0, 25, United-States, <=50K -45, Local-gov, 119199, Assoc-acdm, 12, Divorced, Prof-specialty, Unmarried, White, Female, 0, 0, 48, United-States, <=50K -31, Private, 199655, Masters, 14, Divorced, Other-service, Not-in-family, Other, Female, 0, 0, 30, United-States, <=50K -39, Local-gov, 111499, Assoc-acdm, 12, Married-civ-spouse, Adm-clerical, Wife, White, Female, 0, 0, 20, United-States, >50K -37, Private, 198216, Assoc-acdm, 12, Divorced, Tech-support, Not-in-family, White, Female, 0, 0, 40, United-States, <=50K -43, Private, 260761, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, Mexico, <=50K -65, Self-emp-not-inc, 99359, Prof-school, 15, Never-married, Prof-specialty, Not-in-family, White, Male, 1086, 0, 60, United-States, <=50K -43, State-gov, 255835, Some-college, 10, Divorced, Adm-clerical, Other-relative, White, Female, 0, 0, 40, United-States, <=50K -43, Self-emp-not-inc, 27242, Some-college, 10, Married-civ-spouse, Craft-repair, Husband, White, Male, 0, 0, 50, United-States, <=50K -32, Private, 34066, 10th, 6, Married-civ-spouse, Handlers-cleaners, Husband, Amer-Indian-Eskimo, Male, 0, 0, 40, United-States, <=50K -43, Private, 84661, Assoc-voc, 11, Married-civ-spouse, Sales, Husband, White, Male, 0, 0, 45, United-States, <=50K -32, Private, 116138, Masters, 14, Never-married, Tech-support, Not-in-family, Asian-Pac-Islander, Male, 0, 0, 11, Taiwan, <=50K -53, Private, 321865, Masters, 14, Married-civ-spouse, Exec-managerial, Husband, White, Male, 0, 0, 40, United-States, >50K -22, Private, 310152, Some-college, 10, Never-married, Protective-serv, Not-in-family, White, Male, 0, 0, 40, United-States, <=50K -27, Private, 257302, Assoc-acdm, 12, Married-civ-spouse, Tech-support, Wife, White, Female, 0, 0, 38, United-States, <=50K -40, Private, 154374, HS-grad, 9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male, 0, 0, 40, United-States, >50K -58, Private, 151910, HS-grad, 9, Widowed, Adm-clerical, Unmarried, White, Female, 0, 0, 40, United-States, <=50K -22, Private, 201490, HS-grad, 9, Never-married, Adm-clerical, Own-child, White, Male, 0, 0, 20, United-States, <=50K -52, Self-emp-inc, 287927, HS-grad, 9, Married-civ-spouse, Exec-managerial, Wife, White, Female, 15024, 0, 40, United-States, >50K - diff --git a/starter/main.py b/starter/main.py deleted file mode 100644 index 772c14ca0a..0000000000 --- a/starter/main.py +++ /dev/null @@ -1 +0,0 @@ -# Put the code for your API here. diff --git a/starter/model/.gitignore b/starter/model/.gitignore deleted file mode 100644 index 8b13789179..0000000000 --- a/starter/model/.gitignore +++ /dev/null @@ -1 +0,0 @@ - diff --git a/starter/model_card_template.md b/starter/model_card_template.md deleted file mode 100644 index 0392f3b9eb..0000000000 --- a/starter/model_card_template.md +++ /dev/null @@ -1,18 +0,0 @@ -# Model Card - -For additional information see the Model Card paper: https://arxiv.org/pdf/1810.03993.pdf - -## Model Details - -## Intended Use - -## Training Data - -## Evaluation Data - -## Metrics -_Please include the metrics used and your model's performance on those metrics._ - -## Ethical Considerations - -## Caveats and Recommendations diff --git a/starter/requirements.txt b/starter/requirements.txt deleted file mode 100644 index fc7fe03093..0000000000 --- a/starter/requirements.txt +++ /dev/null @@ -1,9 +0,0 @@ -python==3.8 -numpy -pandas -scikit-learn -pytest -requests -fastapi==0.63.0 -uvicorn -gunicorn diff --git a/starter/sanitycheck.py b/starter/sanitycheck.py deleted file mode 100644 index 8d7acdb8a7..0000000000 --- a/starter/sanitycheck.py +++ /dev/null @@ -1,135 +0,0 @@ -from os import path - -import argparse -import importlib -import inspect -import os -import sys - -FAIL_COLOR = '\033[91m' -OK_COLOR = '\033[92m' -WARN_COLOR = '\033[93m' - -def run_sanity_check(test_dir): - - #assert path.isdir(test_dir), FAIL_COLOR+f"No direcotry named {test_dir} found in {os.getcwd()}" - print('This script will perform a sanity test to ensure your code meets the criteria in the rubric.\n') - print('Please enter the path to the file that contains your test cases for the GET() and POST() methods') - print('The path should be something like abc/def/test_xyz.py') - filepath = input('> ') - - assert path.exists(filepath), f"File {filepath} does not exist." - sys.path.append(path.dirname(filepath)) - - module_name = path.splitext(path.basename(filepath))[0] - module = importlib.import_module(module_name) - - - test_function_names = list(filter(lambda x: inspect.isfunction(getattr(module,x)) and not x.startswith('__'), dir(module))) - - test_functions_for_get = list(filter(lambda x: inspect.getsource(getattr(module,x)).find('.get(') != -1 , test_function_names)) - test_functions_for_post = list(filter(lambda x: inspect.getsource(getattr(module,x)).find('.post(') != -1, test_function_names)) - - - print("\n============= Sanity Check Report ===========") - SANITY_TEST_PASSING = True - WARNING_COUNT = 1 - - ## GET() - TEST_FOR_GET_METHOD_RESPONSE_CODE = False - TEST_FOR_GET_METHOD_RESPONSE_BODY = False - if not test_functions_for_get: - print(FAIL_COLOR+f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"No test cases were detected for the GET() method.") - print(FAIL_COLOR+"\nPlease make sure you have a test case for the GET method.\ - This MUST test both the status code as well as the contents of the request object.\n") - SANITY_TEST_PASSING = False - - else: - for func in test_functions_for_get: - source = inspect.getsource(getattr(module,func)) - if source.find('.status_code') != -1: - TEST_FOR_GET_METHOD_RESPONSE_CODE = True - if (source.find('.json') != -1) or (source.find('json.loads') != -1): - TEST_FOR_GET_METHOD_RESPONSE_BODY = True - - - if not TEST_FOR_GET_METHOD_RESPONSE_CODE: - print(FAIL_COLOR+f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"Your test case for GET() does not seem to be testing the response code.\n") - - if not TEST_FOR_GET_METHOD_RESPONSE_BODY: - print(FAIL_COLOR+f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"Your test case for GET() does not seem to be testing the CONTENTS of the response.\n") - - - - ## POST() - TEST_FOR_POST_METHOD_RESPONSE_CODE = False - TEST_FOR_POST_METHOD_RESPONSE_BODY = False - COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT = 0 - - if not test_functions_for_post: - print(FAIL_COLOR+f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"No test cases were detected for the POST() method.") - print(FAIL_COLOR+"Please make sure you have TWO test cases for the POST() method."+ - "\nOne test case for EACH of the possible inferences (results/outputs) of the ML model.\n") - SANITY_TEST_PASSING = False - else: - if len(test_functions_for_post) == 1: - print(f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"Only one test case was detected for the POST() method.") - print(FAIL_COLOR+"Please make sure you have two test cases for the POST() method."+ - "\nOne test case for EACH of the possible inferences (results/outputs) of the ML model.\n") - SANITY_TEST_PASSING = False - - for func in test_functions_for_post: - source = inspect.getsource(getattr(module,func)) - if source.find('.status_code') != -1: - TEST_FOR_POST_METHOD_RESPONSE_CODE = True - if (source.find('.json') != -1) or (source.find('json.loads') != -1): - TEST_FOR_POST_METHOD_RESPONSE_BODY = True - COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT += 1 - - if not TEST_FOR_POST_METHOD_RESPONSE_CODE: - print(FAIL_COLOR+f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"One or more of your test cases for POST() do not seem to be testing the response code.\n") - if not TEST_FOR_POST_METHOD_RESPONSE_BODY: - print(FAIL_COLOR+f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"One or more of your test cases for POST() do not seem to be testing the contents of the response.\n") - - if len(test_functions_for_post) >= 2 and COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT < 2: - print(FAIL_COLOR+f"[{WARNING_COUNT}]") - WARNING_COUNT += 1 - print(FAIL_COLOR+"You do not seem to have TWO separate test cases, one for each possible prediction that your model can make.") - - - - SANITY_TEST_PASSING = SANITY_TEST_PASSING and\ - TEST_FOR_GET_METHOD_RESPONSE_CODE and \ - TEST_FOR_GET_METHOD_RESPONSE_BODY and \ - TEST_FOR_POST_METHOD_RESPONSE_CODE and \ - TEST_FOR_POST_METHOD_RESPONSE_BODY and \ - COUNT_POST_METHOD_TEST_FOR_INFERENCE_RESULT >= 2 - - if SANITY_TEST_PASSING: - print(OK_COLOR+"Your test cases look good!") - - print(WARN_COLOR+"This is a heuristic based sanity testing and cannot guarantee the correctness of your code.") - print(WARN_COLOR+"You should still check your work against the rubric to ensure you meet the criteria.") - - - -if __name__ == "__main__": - parser = argparse.ArgumentParser() - parser.add_argument('test_dir',metavar='test_dir',nargs='?',default='tests',help='Name of the directory that has test files.') - args = parser.parse_args() - run_sanity_check(args.test_dir) - diff --git a/starter/screenshots/.gitignore b/starter/screenshots/.gitignore deleted file mode 100644 index 8b13789179..0000000000 --- a/starter/screenshots/.gitignore +++ /dev/null @@ -1 +0,0 @@ - diff --git a/starter/starter/__init__.py b/starter/starter/__init__.py deleted file mode 100644 index d3f5a12faa..0000000000 --- a/starter/starter/__init__.py +++ /dev/null @@ -1 +0,0 @@ - diff --git a/starter/starter/ml/__init__.py b/starter/starter/ml/__init__.py deleted file mode 100644 index 8b13789179..0000000000 --- a/starter/starter/ml/__init__.py +++ /dev/null @@ -1 +0,0 @@ - diff --git a/starter/starter/ml/data.py b/starter/starter/ml/data.py deleted file mode 100644 index b46a8f0138..0000000000 --- a/starter/starter/ml/data.py +++ /dev/null @@ -1,70 +0,0 @@ -import numpy as np -from sklearn.preprocessing import LabelBinarizer, OneHotEncoder - - -def process_data( - X, categorical_features=[], label=None, training=True, encoder=None, lb=None -): - """ Process the data used in the machine learning pipeline. - - Processes the data using one hot encoding for the categorical features and a - label binarizer for the labels. This can be used in either training or - inference/validation. - - Note: depending on the type of model used, you may want to add in functionality that - scales the continuous data. - - Inputs - ------ - X : pd.DataFrame - Dataframe containing the features and label. Columns in `categorical_features` - categorical_features: list[str] - List containing the names of the categorical features (default=[]) - label : str - Name of the label column in `X`. If None, then an empty array will be returned - for y (default=None) - training : bool - Indicator if training mode or inference/validation mode. - encoder : sklearn.preprocessing._encoders.OneHotEncoder - Trained sklearn OneHotEncoder, only used if training=False. - lb : sklearn.preprocessing._label.LabelBinarizer - Trained sklearn LabelBinarizer, only used if training=False. - - Returns - ------- - X : np.array - Processed data. - y : np.array - Processed labels if labeled=True, otherwise empty np.array. - encoder : sklearn.preprocessing._encoders.OneHotEncoder - Trained OneHotEncoder if training is True, otherwise returns the encoder passed - in. - lb : sklearn.preprocessing._label.LabelBinarizer - Trained LabelBinarizer if training is True, otherwise returns the binarizer - passed in. - """ - - if label is not None: - y = X[label] - X = X.drop([label], axis=1) - else: - y = np.array([]) - - X_categorical = X[categorical_features].values - X_continuous = X.drop(*[categorical_features], axis=1) - - if training is True: - encoder = OneHotEncoder(sparse=False, handle_unknown="ignore") - lb = LabelBinarizer() - X_categorical = encoder.fit_transform(X_categorical) - y = lb.fit_transform(y.values).ravel() - else: - X_categorical = encoder.transform(X_categorical) - try: - y = lb.transform(y.values).ravel() - # Catch the case where y is None because we're doing inference. - except AttributeError: - pass - - X = np.concatenate([X_continuous, X_categorical], axis=1) - return X, y, encoder, lb diff --git a/starter/starter/ml/model.py b/starter/starter/ml/model.py deleted file mode 100644 index 61eafb6c06..0000000000 --- a/starter/starter/ml/model.py +++ /dev/null @@ -1,60 +0,0 @@ -from sklearn.metrics import fbeta_score, precision_score, recall_score - - -# Optional: implement hyperparameter tuning. -def train_model(X_train, y_train): - """ - Trains a machine learning model and returns it. - - Inputs - ------ - X_train : np.array - Training data. - y_train : np.array - Labels. - Returns - ------- - model - Trained machine learning model. - """ - - pass - - -def compute_model_metrics(y, preds): - """ - Validates the trained machine learning model using precision, recall, and F1. - - Inputs - ------ - y : np.array - Known labels, binarized. - preds : np.array - Predicted labels, binarized. - Returns - ------- - precision : float - recall : float - fbeta : float - """ - fbeta = fbeta_score(y, preds, beta=1, zero_division=1) - precision = precision_score(y, preds, zero_division=1) - recall = recall_score(y, preds, zero_division=1) - return precision, recall, fbeta - - -def inference(model, X): - """ Run model inferences and return the predictions. - - Inputs - ------ - model : ??? - Trained machine learning model. - X : np.array - Data used for prediction. - Returns - ------- - preds : np.array - Predictions from the model. - """ - pass diff --git a/starter/starter/train_model.py b/starter/starter/train_model.py deleted file mode 100644 index 2caaf4cd47..0000000000 --- a/starter/starter/train_model.py +++ /dev/null @@ -1,28 +0,0 @@ -# Script to train machine learning model. - -from sklearn.model_selection import train_test_split - -# Add the necessary imports for the starter code. - -# Add code to load in the data. - -# Optional enhancement, use K-fold cross validation instead of a train-test split. -train, test = train_test_split(data, test_size=0.20) - -cat_features = [ - "workclass", - "education", - "marital-status", - "occupation", - "relationship", - "race", - "sex", - "native-country", -] -X_train, y_train, encoder, lb = process_data( - train, categorical_features=cat_features, label="salary", training=True -) - -# Proces the test data with the process_data function. - -# Train and save a model. diff --git a/tests/TestDataframeCreation.ipynb b/tests/TestDataframeCreation.ipynb new file mode 100644 index 0000000000..bbc56aa06b --- /dev/null +++ b/tests/TestDataframeCreation.ipynb @@ -0,0 +1,339 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "b54d2a46-fd43-4cdc-85bf-7b1ef4dca049", + "metadata": {}, + "source": [ + "This notebook is used to create the dataframe for testing purposes once." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "6863d806-297a-467a-b746-0eeb4b97b4ac", + "metadata": {}, + "outputs": [], + "source": [ + "# imports\n", + "import os\n", + "import yaml\n", + "import time\n", + "import pandas as pd\n", + "from pathlib import Path" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "511aa885-42db-49d9-9eab-9af514488e83", + "metadata": {}, + "outputs": [], + "source": [ + "# coding\n", + "\n", + "def get_config():\n", + " ''' Returns the configuration file '''\n", + " ROOT = os.getcwd()\n", + " # we are in tests dir, but need src\n", + " CONFIG_PATH = '../src/config/config.yml'\n", + " CONFIG_FILE = os.path.join(ROOT, CONFIG_PATH)\n", + " if os.path.exists(CONFIG_FILE):\n", + " with open(CONFIG_FILE, 'r') as f:\n", + " try:\n", + " config_dict = yaml.safe_load(f.read())\n", + " print(f'Configuration yml file content is:\\n {config_dict}')\n", + " return config_dict\n", + " except yaml.YAMLError as e:\n", + " print(f\"YAMLError parsing config.yml: {e}\")\n", + " except Exception as e:\n", + " print(f\"Exception creating config file: {e}\")\n", + " else:\n", + " print(f\"CONFIG_FILE: {CONFIG_FILE}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "4178ad2d-660a-4f16-9f56-8d70da94239a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Configuration yml file content is:\n", + " {'main': {'project_name': 'census-project'}, 'logging': {'version': 1, 'disable_existing_loggers': False, 'formatters': {'simple': {'format': '%(asctime)s - %(name)s - %(levelname)s - %(message)s', 'datefmt': '%Y-%m-%d %H:%M:%S'}, 'color': {'format': '%(asctime)s - %(threadName)s - %(name)s - %(levelname)s - %(message)s - %(lineno)s', '()': '__init__.CustomColoredFormatter', 'use_color': True}}, 'handlers': {'console': {'class': 'logging.StreamHandler', 'level': 'DEBUG', 'formatter': 'color', 'stream': 'ext://sys.stdout'}, 'file': {'class': 'logging.FileHandler', 'level': 'INFO', 'formatter': 'simple', 'filename': 'logs/census_app.log'}}, 'loggers': {'development': {'level': 'DEBUG', 'handlers': ['console'], 'propagate': False}, 'staging': {'level': 'INFO', 'handlers': ['console', 'file'], 'propagate': False}, 'production': {'level': 'WARNING', 'handlers': ['file'], 'propagate': False}}, 'root': {'level': 'DEBUG', 'handlers': ['console']}}, 'etl': {'data_path': 'data', 'orig_census': 'census.csv', 'preproc_census': 'preproc_census.csv', 'orig_census_dvc_url': 'data/census.csv', 'preproc_census_dvc_url': 'data/preproc_census.csv', 'test_data_orig_census': 'tests/df_test_1500raw.csv', 'fnlgt_range': 'range(0, 1550000, 50000)', 'non_converting_countries': ['Canada', 'United-States', 'Mexico', 'Hongkong', 'China', 'Japan', 'Taiwan', 'Russia', 'Outlying-US'], 'north_west_south_europe': ['Denmark', 'Estonia', 'Esthonia', 'Finland', 'Iceland', 'Latvia', 'Lithuania', 'Norway', 'Sweden', 'Belgium', 'France', 'Ireland', 'Eire', 'Liechtenstein', 'Luxembourg', 'Luxemburg', 'Netherland', 'Austria', 'Switzerland', 'United-Kingdom', 'Andorra', 'Italy', 'Malta', 'Monaco', 'Portugal', 'San-Marino', 'Slovenia', 'Spain', 'Vatican-City', 'Germany', 'ex-German-Democratic-Republic', 'ex-GDR'], 'south_east_europe': ['Moldavia', 'Moldova', 'Poland', 'Slovakia', 'Czechia', 'Czech-Republic', 'Ukraine', 'Hungary', 'Belarus', 'Belorussia', 'Byelorussia', 'Albania', 'Bosnia-Herzegovina', 'Bosnia-and-Herzegovina', 'Bosnia&Herzegovina', 'Bulgaria', 'Greece', 'Kosovo', 'Croatia', 'Macedonia', 'Montenegro', 'Romania', 'Rumania', 'Serbia', 'Cybrus', 'ex-Yugoslavia'], 'caribbean': ['Antigua-and-Barbuda', 'Bahamas', 'Barbados', 'Cuba', 'Dominica', 'Dominican-Republic', 'Grenada', 'Haiti', 'Jamaica', 'Saint-Christopher-and-Nevis', 'Saint-Christopher&Nevis', 'Saint-Lucia', 'Saint-Vincent-and-the-Grenadines', 'Saint-Vincent&the-Grenadines', 'Trinidad-and-Tobago', 'Trinidad&Tobago'], 'central_america': ['Belize', 'Guatemala', 'Honduras', 'Costa-Rica', 'Nicaragua', 'Panama', 'Salvador', 'El-Salvador'], 'south_america': ['Argentina', 'Bolivia', 'Brazil', 'Chile', 'Ecuador', 'Guyana', 'Columbia', 'Paraguay', 'Peru', 'Surinam', 'Suriname', 'Uruguay', 'Venezuela'], 'australia': ['Australia', 'New-Zealand'], 'south_east_asia': ['Brunei', 'Indonesia', 'Cambodia', 'Laos', 'Malaysia', 'Myanmar', 'ex-Burma', 'ex-Birma', 'East-Timor', 'Philippines', 'Singapore', 'Thailand', 'Vietnam', 'Viet-Nam'], 'south_middle_asia': ['Afghanistan', 'Bangladesh', 'Bhutan', 'India', 'Iran', 'Kasakhstan', 'Kasakhstan', 'Kyrgyzstan', 'Maldives', 'Nepal', 'Pakistan', 'Sri-Lanka', 'Tajikistan', 'Turkmenistan', 'Uzbekistan'], 'east_asia': ['China', 'Japan', 'North-Korea', 'South-Korea', 'Mongolia', 'Taiwan']}, 'eda': {'eda_path': 'src/eda', 'plots_path': 'plots', 'orig_report_title': 'US Census Profiling Report - original data', 'orig_census_report': 'eda_census_orig_report.html', 'preproc_report_title': 'US Census Profiling Report - modified, encoded final data', 'preproc_census_report': 'eda_census_preproc_report.html'}, 'model': {'slice_output_file': 'slice_output.txt', 'models_path': 'models', 'col_transformer': 'final_col_transformer_artifact.pkl', 'final_xgb_artifact': 'final_xgb_cls_artifact.pkl', 'training_target': 'salary', 'test_size': 0.2, 'val_size': 0.2, 'random_seed': 42, 'n_jobs': -1, 'cv': 5, 'verbose': 1, 'scoring': 'None', 'early_stopping_rounds': 30, 'random_forest': {'n_estimators': 100, 'max_depth': 15, 'min_samples_split': 4, 'min_samples_leaf': 3, 'criterion': 'gini', 'max_features': 'sqrt', 'oob_score': True, 'output_artifact': 'rf_cls_model.pkl'}, 'xgb_cls': {'objective': 'binary:logistic', 'eval_metric': ['error', 'logloss'], 'n_estimators': 100, 'max_depth': 6, 'min_child_weight': 1, 'subsample': 1, 'colsample_bytree': 1, 'learning_rate': 0.3, 'output_artifact': 'xgb_cls_model.pkl'}, 'xgb_cls_cv': {'objective': ['binary:logistic'], 'eval_metric': ['error', 'logloss'], 'n_estimators': [100, 150, 200, 250], 'max_depth': [5, 6, 8, 9], 'learning_rate': [0.01, 0.1, 0.5], 'gamma': [0, 1, 10], 'colsample_bytree': [0.5, 0.7, 1], 'reg_alpha': [0.01, 0.1, 0.5], 'reg_lambda': [0.01, 0.1, 0.5], 'output_artifact': 'xgb_cls_cv_model.pkl'}}}\n", + "config_file:\n", + " {'main': {'project_name': 'census-project'}, 'logging': {'version': 1, 'disable_existing_loggers': False, 'formatters': {'simple': {'format': '%(asctime)s - %(name)s - %(levelname)s - %(message)s', 'datefmt': '%Y-%m-%d %H:%M:%S'}, 'color': {'format': '%(asctime)s - %(threadName)s - %(name)s - %(levelname)s - %(message)s - %(lineno)s', '()': '__init__.CustomColoredFormatter', 'use_color': True}}, 'handlers': {'console': {'class': 'logging.StreamHandler', 'level': 'DEBUG', 'formatter': 'color', 'stream': 'ext://sys.stdout'}, 'file': {'class': 'logging.FileHandler', 'level': 'INFO', 'formatter': 'simple', 'filename': 'logs/census_app.log'}}, 'loggers': {'development': {'level': 'DEBUG', 'handlers': ['console'], 'propagate': False}, 'staging': {'level': 'INFO', 'handlers': ['console', 'file'], 'propagate': False}, 'production': {'level': 'WARNING', 'handlers': ['file'], 'propagate': False}}, 'root': {'level': 'DEBUG', 'handlers': ['console']}}, 'etl': {'data_path': 'data', 'orig_census': 'census.csv', 'preproc_census': 'preproc_census.csv', 'orig_census_dvc_url': 'data/census.csv', 'preproc_census_dvc_url': 'data/preproc_census.csv', 'test_data_orig_census': 'tests/df_test_1500raw.csv', 'fnlgt_range': 'range(0, 1550000, 50000)', 'non_converting_countries': ['Canada', 'United-States', 'Mexico', 'Hongkong', 'China', 'Japan', 'Taiwan', 'Russia', 'Outlying-US'], 'north_west_south_europe': ['Denmark', 'Estonia', 'Esthonia', 'Finland', 'Iceland', 'Latvia', 'Lithuania', 'Norway', 'Sweden', 'Belgium', 'France', 'Ireland', 'Eire', 'Liechtenstein', 'Luxembourg', 'Luxemburg', 'Netherland', 'Austria', 'Switzerland', 'United-Kingdom', 'Andorra', 'Italy', 'Malta', 'Monaco', 'Portugal', 'San-Marino', 'Slovenia', 'Spain', 'Vatican-City', 'Germany', 'ex-German-Democratic-Republic', 'ex-GDR'], 'south_east_europe': ['Moldavia', 'Moldova', 'Poland', 'Slovakia', 'Czechia', 'Czech-Republic', 'Ukraine', 'Hungary', 'Belarus', 'Belorussia', 'Byelorussia', 'Albania', 'Bosnia-Herzegovina', 'Bosnia-and-Herzegovina', 'Bosnia&Herzegovina', 'Bulgaria', 'Greece', 'Kosovo', 'Croatia', 'Macedonia', 'Montenegro', 'Romania', 'Rumania', 'Serbia', 'Cybrus', 'ex-Yugoslavia'], 'caribbean': ['Antigua-and-Barbuda', 'Bahamas', 'Barbados', 'Cuba', 'Dominica', 'Dominican-Republic', 'Grenada', 'Haiti', 'Jamaica', 'Saint-Christopher-and-Nevis', 'Saint-Christopher&Nevis', 'Saint-Lucia', 'Saint-Vincent-and-the-Grenadines', 'Saint-Vincent&the-Grenadines', 'Trinidad-and-Tobago', 'Trinidad&Tobago'], 'central_america': ['Belize', 'Guatemala', 'Honduras', 'Costa-Rica', 'Nicaragua', 'Panama', 'Salvador', 'El-Salvador'], 'south_america': ['Argentina', 'Bolivia', 'Brazil', 'Chile', 'Ecuador', 'Guyana', 'Columbia', 'Paraguay', 'Peru', 'Surinam', 'Suriname', 'Uruguay', 'Venezuela'], 'australia': ['Australia', 'New-Zealand'], 'south_east_asia': ['Brunei', 'Indonesia', 'Cambodia', 'Laos', 'Malaysia', 'Myanmar', 'ex-Burma', 'ex-Birma', 'East-Timor', 'Philippines', 'Singapore', 'Thailand', 'Vietnam', 'Viet-Nam'], 'south_middle_asia': ['Afghanistan', 'Bangladesh', 'Bhutan', 'India', 'Iran', 'Kasakhstan', 'Kasakhstan', 'Kyrgyzstan', 'Maldives', 'Nepal', 'Pakistan', 'Sri-Lanka', 'Tajikistan', 'Turkmenistan', 'Uzbekistan'], 'east_asia': ['China', 'Japan', 'North-Korea', 'South-Korea', 'Mongolia', 'Taiwan']}, 'eda': {'eda_path': 'src/eda', 'plots_path': 'plots', 'orig_report_title': 'US Census Profiling Report - original data', 'orig_census_report': 'eda_census_orig_report.html', 'preproc_report_title': 'US Census Profiling Report - modified, encoded final data', 'preproc_census_report': 'eda_census_preproc_report.html'}, 'model': {'slice_output_file': 'slice_output.txt', 'models_path': 'models', 'col_transformer': 'final_col_transformer_artifact.pkl', 'final_xgb_artifact': 'final_xgb_cls_artifact.pkl', 'training_target': 'salary', 'test_size': 0.2, 'val_size': 0.2, 'random_seed': 42, 'n_jobs': -1, 'cv': 5, 'verbose': 1, 'scoring': 'None', 'early_stopping_rounds': 30, 'random_forest': {'n_estimators': 100, 'max_depth': 15, 'min_samples_split': 4, 'min_samples_leaf': 3, 'criterion': 'gini', 'max_features': 'sqrt', 'oob_score': True, 'output_artifact': 'rf_cls_model.pkl'}, 'xgb_cls': {'objective': 'binary:logistic', 'eval_metric': ['error', 'logloss'], 'n_estimators': 100, 'max_depth': 6, 'min_child_weight': 1, 'subsample': 1, 'colsample_bytree': 1, 'learning_rate': 0.3, 'output_artifact': 'xgb_cls_model.pkl'}, 'xgb_cls_cv': {'objective': ['binary:logistic'], 'eval_metric': ['error', 'logloss'], 'n_estimators': [100, 150, 200, 250], 'max_depth': [5, 6, 8, 9], 'learning_rate': [0.01, 0.1, 0.5], 'gamma': [0, 1, 10], 'colsample_bytree': [0.5, 0.7, 1], 'reg_alpha': [0.01, 0.1, 0.5], 'reg_lambda': [0.01, 0.1, 0.5], 'output_artifact': 'xgb_cls_cv_model.pkl'}}}\n" + ] + } + ], + "source": [ + "config_file = get_config()\n", + "print(f\"config_file:\\n {config_file}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "88561972-d608-4cf5-977a-fadfccc0e12c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sleep time is over. Subset csv file with 1500 rows shall be stored.\n" + ] + } + ], + "source": [ + "# df creation and storage\n", + "data = '../' + config_file['etl']['orig_census_dvc_url']\n", + "df_test_raw = pd.read_csv(data)[:1500]\n", + " \n", + "# store test dataframe as .csv files in tests dir,\n", + "# reason for that workflow:\n", + "# dvc handling with github actions with 'local remote' dvc setting is not working as expected,\n", + "# issue with creating fixtures for unit tests\n", + "filepath = Path('./df_test_1500raw.csv') \n", + "filepath.parent.mkdir(parents=True, exist_ok=True) \n", + "df_test_raw.to_csv(filepath, index=False)\n", + "time.sleep(15)\n", + "print('Sleep time is over. Subset csv file with 1500 rows shall be stored.')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "c2c2fb50-e338-4f7c-bea9-801a193dc436", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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039State-gov77516Bachelors13Never-marriedAdm-clericalNot-in-familyWhiteMale2174040United-States<=50K
150Self-emp-not-inc83311Bachelors13Married-civ-spouseExec-managerialHusbandWhiteMale0013United-States<=50K
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353Private23472111th7Married-civ-spouseHandlers-cleanersHusbandBlackMale0040United-States<=50K
428Private338409Bachelors13Married-civ-spouseProf-specialtyWifeBlackFemale0040Cuba<=50K
\n", + "
" + ], + "text/plain": [ + " age workclass fnlgt education education-num \\\n", + "0 39 State-gov 77516 Bachelors 13 \n", + "1 50 Self-emp-not-inc 83311 Bachelors 13 \n", + "2 38 Private 215646 HS-grad 9 \n", + "3 53 Private 234721 11th 7 \n", + "4 28 Private 338409 Bachelors 13 \n", + "\n", + " marital-status occupation relationship race sex \\\n", + "0 Never-married Adm-clerical Not-in-family White Male \n", + "1 Married-civ-spouse Exec-managerial Husband White Male \n", + "2 Divorced Handlers-cleaners Not-in-family White Male \n", + "3 Married-civ-spouse Handlers-cleaners Husband Black Male \n", + "4 Married-civ-spouse Prof-specialty Wife Black Female \n", + "\n", + " capital-gain capital-loss hours-per-week native-country salary \n", + "0 2174 0 40 United-States <=50K \n", + "1 0 0 13 United-States <=50K \n", + "2 0 0 40 United-States <=50K \n", + "3 0 0 40 United-States <=50K \n", + "4 0 0 40 Cuba <=50K " + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_test_raw.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "1afda010-ffdf-44ff-9221-dac75327dc34", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 1500 entries, 0 to 1499\n", + "Data columns (total 15 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 age 1500 non-null int64 \n", + " 1 workclass 1500 non-null object\n", + " 2 fnlgt 1500 non-null int64 \n", + " 3 education 1500 non-null object\n", + " 4 education-num 1500 non-null int64 \n", + " 5 marital-status 1500 non-null object\n", + " 6 occupation 1500 non-null object\n", + " 7 relationship 1500 non-null object\n", + " 8 race 1500 non-null object\n", + " 9 sex 1500 non-null object\n", + " 10 capital-gain 1500 non-null int64 \n", + " 11 capital-loss 1500 non-null int64 \n", + " 12 hours-per-week 1500 non-null int64 \n", + " 13 native-country 1500 non-null object\n", + " 14 salary 1500 non-null object\n", + "dtypes: int64(6), object(9)\n", + "memory usage: 175.9+ KB\n" + ] + } + ], + "source": [ + "df_test_raw.info()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000000..d99fdd5fd3 --- /dev/null +++ b/tests/__init__.py @@ -0,0 +1,3 @@ +# a user can manipulate/configure logger from project libraries like any other Python object + +print(f'Invoking __init__.py for {__name__}') diff --git a/tests/api_test_report.html b/tests/api_test_report.html new file mode 100644 index 0000000000..db181b3af3 --- /dev/null +++ b/tests/api_test_report.html @@ -0,0 +1,770 @@ + + + + + api_test_report.html + + + +

api_test_report.html

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Report generated on 08-Feb-2024 at 13:58:56 by pytest-html + v4.0.0

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Environment

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Summary

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9 tests took 00:00:04.

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+ + 0 Failed, + + 9 Passed, + + 0 Skipped, + + 0 Unexpected failures, + + 0 Unexpected passes, + + 0 Errors, + + 0 Reruns +
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+ \ No newline at end of file diff --git a/tests/assets/style.css b/tests/assets/style.css new file mode 100644 index 0000000000..561524c691 --- /dev/null +++ b/tests/assets/style.css @@ -0,0 +1,319 @@ +body { + font-family: Helvetica, Arial, sans-serif; + font-size: 12px; + /* do not increase min-width as some may use split screens */ + min-width: 800px; + color: #999; +} + +h1 { + font-size: 24px; + color: black; +} + +h2 { + font-size: 16px; + color: black; +} + +p { + color: black; +} + +a { + color: #999; +} + +table { + border-collapse: collapse; +} + +/****************************** + * SUMMARY INFORMATION + ******************************/ +#environment td { + padding: 5px; + border: 1px solid #e6e6e6; + vertical-align: top; +} +#environment tr:nth-child(odd) { + background-color: #f6f6f6; +} +#environment ul { + margin: 0; + padding: 0 20px; +} + +/****************************** + * TEST RESULT COLORS + ******************************/ +span.passed, +.passed .col-result { + color: green; +} + +span.skipped, +span.xfailed, +span.rerun, +.skipped .col-result, +.xfailed .col-result, +.rerun .col-result { + color: orange; +} + +span.error, +span.failed, +span.xpassed, +.error .col-result, +.failed .col-result, +.xpassed .col-result { + color: red; +} + +.col-links__extra { + margin-right: 3px; +} + +/****************************** + * RESULTS TABLE + * + * 1. Table Layout + * 2. Extra + * 3. Sorting items + * + ******************************/ +/*------------------ + * 1. Table Layout + *------------------*/ +#results-table { + border: 1px solid #e6e6e6; + color: #999; + font-size: 12px; + width: 100%; +} +#results-table th, +#results-table td { + padding: 5px; + border: 1px solid #e6e6e6; + text-align: left; +} +#results-table th { + font-weight: bold; +} + +/*------------------ + * 2. Extra + *------------------*/ +.logwrapper { + max-height: 230px; + overflow-y: scroll; + background-color: #e6e6e6; +} +.logwrapper.expanded { + max-height: none; +} +.logwrapper.expanded .logexpander:after { + content: "collapse [-]"; +} +.logwrapper .logexpander { + z-index: 1; + position: sticky; + top: 10px; + width: max-content; + border: 1px solid; + border-radius: 3px; + padding: 5px 7px; + margin: 10px 0 10px calc(100% - 80px); + cursor: pointer; + background-color: #e6e6e6; +} +.logwrapper .logexpander:after { + content: "expand [+]"; +} +.logwrapper .logexpander:hover { + color: #000; + border-color: #000; +} +.logwrapper .log { + min-height: 40px; + position: relative; + top: -50px; + height: calc(100% + 50px); + border: 1px solid #e6e6e6; + color: black; + display: block; + font-family: "Courier New", Courier, monospace; + padding: 5px; + padding-right: 80px; + white-space: pre-wrap; +} + +div.media { + border: 1px solid #e6e6e6; + float: right; + height: 240px; + margin: 0 5px; + overflow: hidden; + width: 320px; +} + +.media-container { + display: grid; + grid-template-columns: 25px auto 25px; + align-items: center; + flex: 1 1; + overflow: hidden; + height: 200px; +} + +.media-container--fullscreen { + grid-template-columns: 0px auto 0px; +} + +.media-container__nav--right, +.media-container__nav--left { + text-align: center; + cursor: pointer; +} + +.media-container__viewport { + cursor: pointer; + text-align: center; + height: inherit; +} +.media-container__viewport img, +.media-container__viewport video { + object-fit: cover; + width: 100%; + max-height: 100%; +} + +.media__name, +.media__counter { + display: flex; + flex-direction: row; + justify-content: space-around; + flex: 0 0 25px; + align-items: center; +} + +.collapsible td:not(.col-links) { + cursor: pointer; +} +.collapsible td:not(.col-links):hover::after { + color: #bbb; + font-style: italic; + cursor: pointer; +} + +.col-result { + width: 130px; +} +.col-result:hover::after { + content: " (hide details)"; +} + +.col-result.collapsed:hover::after { + content: " (show details)"; +} + +#environment-header h2:hover::after { + content: " (hide details)"; + color: #bbb; + font-style: italic; + cursor: pointer; + font-size: 12px; +} + +#environment-header.collapsed h2:hover::after { + content: " (show details)"; + color: #bbb; + font-style: italic; + cursor: pointer; + font-size: 12px; +} + +/*------------------ + * 3. Sorting items + *------------------*/ +.sortable { + cursor: pointer; +} +.sortable.desc:after { + content: " "; + position: relative; + left: 5px; + bottom: -12.5px; + border: 10px solid #4caf50; + border-bottom: 0; + border-left-color: transparent; + border-right-color: transparent; +} +.sortable.asc:after { + content: " "; + position: relative; + left: 5px; + bottom: 12.5px; + border: 10px solid #4caf50; + border-top: 0; + border-left-color: transparent; + border-right-color: transparent; +} + +.hidden, .summary__reload__button.hidden { + display: none; +} + +.summary__data { + flex: 0 0 550px; +} +.summary__reload { + flex: 1 1; + display: flex; + justify-content: center; +} +.summary__reload__button { + flex: 0 0 300px; + display: flex; + color: white; + font-weight: bold; + background-color: #4caf50; + text-align: center; + justify-content: center; + align-items: center; + border-radius: 3px; + cursor: pointer; +} +.summary__reload__button:hover { + background-color: #46a049; +} +.summary__spacer { + flex: 0 0 550px; +} + +.controls { + display: flex; + justify-content: space-between; +} + +.filters, +.collapse { + display: flex; + align-items: center; +} +.filters button, +.collapse button { + color: #999; + border: none; + background: none; + cursor: pointer; + text-decoration: underline; +} +.filters button:hover, +.collapse button:hover { + color: #ccc; +} + +.filter__label { + margin-right: 10px; +} diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000000..0409c79cef --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,71 @@ +#!/usr/bin/env -S python3 -i + +""" +This conftest script delivers the fixture setup used for pytest testsuite. +Having had issues with dvc cache and github actions part of unittests, +a subset of data is stored once in the tests directory. + +author: I. Brinkmeier +date: 2023-09 + +for information about testing see e.g.: +- https://docs.pytest.org/en/7.1.x/how-to/fixtures.html +- https://www.testim.io/blog/using-pytest-fixtures/ +- https://www.testim.io/blog/python-test-automation/ +""" + +################### +# Imports +################### +import os +import sys +import pandas as pd +import pytest + +from src.config import get_config +from src.training.ml.data import clean_data + +################### +# Coding +################### + +# +# arrange setup +# +TEST_DIR = os.path.join(os.getcwd(), 'tests/') +sys.path.append(TEST_DIR) + +# load in the configuration file +config_file = get_config() + + +@pytest.fixture(scope='session', autouse=True) +def raw_test_data() -> pd.DataFrame: + """ + Original dataframe loaded from csv file. First 1500 rows are used for testing. + + Returns: + Subset dataframe with 1500 rows loaded from original csv file + """ + try: + ROOT = os.getcwd() + filepath = os.path.join(ROOT, config_file['etl']['test_data_orig_census']) + return pd.read_csv(filepath) + except Exception as e: + pytest.fail(f"Fixture with 1500 orig rows: exc: {e}") + + +@pytest.fixture(scope='session') +def cleaned_test_data() -> pd.DataFrame: + """ + First 200 rows of cleaned, preprocessed raw test data. + + Returns: + Subset dataframe with 200 rows loaded from original csv file and cleaned + """ + try: + ROOT = os.getcwd() + filepath = os.path.join(ROOT, config_file['etl']['test_data_orig_census']) + return clean_data(pd.read_csv(filepath)[:200], config_file) + except Exception as e: + pytest.fail(f"Fixture with 200 cleaned rows: exc: {e}") diff --git a/tests/data_test_report.html b/tests/data_test_report.html new file mode 100644 index 0000000000..b25c5703ba --- /dev/null +++ b/tests/data_test_report.html @@ -0,0 +1,770 @@ + + + + + data_test_report.html + + + +

data_test_report.html

+

Report generated on 03-Oct-2023 at 16:38:18 by pytest-html + v4.0.0

+
+

Environment

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+ + + + + +
+
+

Summary

+
+
+

15 tests took 00:00:04.

+

(Un)check the boxes to filter the results.

+
+ +
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+
+
+ + 0 Failed, + + 15 Passed, + + 0 Skipped, + + 0 Unexpected failures, + + 0 Unexpected passes, + + 0 Errors, + + 0 Reruns +
+
+  /  +
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ResultTestDurationLinks
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+ +
+ \ No newline at end of file diff --git a/tests/df_test_1500raw.csv b/tests/df_test_1500raw.csv new file mode 100644 index 0000000000..ef63c13726 --- /dev/null +++ b/tests/df_test_1500raw.csv @@ -0,0 +1,1501 @@ +age, workclass, fnlgt, education, education-num, marital-status, occupation, relationship, race, sex, capital-gain, capital-loss, hours-per-week, native-country, salary +39, State-gov,77516, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,2174,0,40, United-States, <=50K +50, Self-emp-not-inc,83311, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,13, United-States, <=50K +38, Private,215646, HS-grad,9, Divorced, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K +53, Private,234721, 11th,7, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K +28, Private,338409, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, Black, Female,0,0,40, Cuba, <=50K +37, Private,284582, Masters,14, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K +49, Private,160187, 9th,5, Married-spouse-absent, Other-service, Not-in-family, Black, Female,0,0,16, Jamaica, <=50K +52, Self-emp-not-inc,209642, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +31, Private,45781, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,14084,0,50, United-States, >50K +42, Private,159449, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,5178,0,40, United-States, >50K +37, Private,280464, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,80, United-States, >50K +30, State-gov,141297, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K +23, Private,122272, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K +32, Private,205019, 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Female,0,0,50, United-States, >50K +57, Private,249977, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +37, Private,286730, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K +28, Private,212563, Some-college,10, Divorced, Machine-op-inspct, Unmarried, Black, Female,0,0,25, United-States, <=50K +30, Private,117747, HS-grad,9, Married-civ-spouse, Sales, Wife, Asian-Pac-Islander, Female,0,1573,35, ?, <=50K +34, Local-gov,226296, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K +29, Local-gov,115585, Some-college,10, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,50, United-States, <=50K +48, Self-emp-not-inc,191277, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,60, United-States, >50K +37, Private,202683, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,48, United-States, >50K +48, Private,171095, Assoc-acdm,12, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, England, <=50K +32, Federal-gov,249409, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K +76, Private,124191, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +44, Private,198282, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K +47, Self-emp-not-inc,149116, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, <=50K +20, Private,188300, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K +29, Private,103432, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +32, Self-emp-inc,317660, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,40, United-States, >50K +17, ?,304873, 10th,6, Never-married, ?, Own-child, White, Female,34095,0,32, United-States, <=50K +30, Private,194901, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K +31, Local-gov,189265, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +42, Private,124692, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K +24, Private,432376, Bachelors,13, Never-married, Sales, Other-relative, White, Male,0,0,40, United-States, <=50K +38, Private,65324, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +56, Self-emp-not-inc,335605, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1887,50, Canada, >50K +28, Private,377869, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,4064,0,25, United-States, <=50K +36, Private,102864, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K +53, Private,95647, 9th,5, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K +56, Self-emp-inc,303090, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K +49, Local-gov,197371, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K +55, Private,247552, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,56, United-States, <=50K +22, Private,102632, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K +21, Private,199915, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K +40, Private,118853, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K +30, Private,77143, Bachelors,13, Never-married, Exec-managerial, Own-child, Black, Male,0,0,40, Germany, <=50K +29, State-gov,267989, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K +19, Private,301606, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,35, United-States, <=50K +47, Private,287828, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K +20, Private,111697, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,1719,28, United-States, <=50K +31, Private,114937, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K +35, ?,129305, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K +39, Private,365739, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +28, Private,69621, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K +24, Private,43323, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,1762,40, United-States, <=50K +38, Self-emp-not-inc,120985, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,35, United-States, <=50K +37, Private,254202, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K +46, Private,146195, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, Black, Female,0,0,36, United-States, <=50K +38, Federal-gov,125933, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, Iran, >50K +43, Self-emp-not-inc,56920, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K +27, Private,163127, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K +20, Private,34310, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K +49, Private,81973, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K +61, Self-emp-inc,66614, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +27, Private,232782, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K +19, Private,316868, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,30, Mexico, <=50K +45, Private,196584, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,1564,40, United-States, >50K +70, Private,105376, Some-college,10, Never-married, Tech-support, Other-relative, White, Male,0,0,40, United-States, <=50K +31, Private,185814, HS-grad,9, Never-married, Transport-moving, Unmarried, Black, Female,0,0,30, United-States, <=50K +22, Private,175374, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,24, United-States, <=50K +36, Private,108293, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,24, United-States, <=50K +64, Private,181232, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2179,40, United-States, <=50K +43, ?,174662, Some-college,10, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K +47, Local-gov,186009, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, Mexico, <=50K +34, Private,198183, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +33, Private,163003, Bachelors,13, Never-married, Exec-managerial, Other-relative, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K +21, Private,296158, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K +52, ?,252903, HS-grad,9, Divorced, ?, Not-in-family, White, Male,0,0,45, United-States, >50K +48, Private,187715, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,46, United-States, <=50K +23, Private,214542, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K +71, Self-emp-not-inc,494223, Some-college,10, Separated, Sales, Unmarried, Black, Male,0,1816,2, United-States, <=50K +29, Private,191535, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K +42, Private,228456, Bachelors,13, Separated, Other-service, Other-relative, Black, Male,0,0,50, United-States, <=50K +68, ?,38317, 1st-4th,2, Divorced, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K +25, Private,252752, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K +44, Self-emp-inc,78374, Masters,14, Divorced, Exec-managerial, Unmarried, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K +28, Private,88419, HS-grad,9, Never-married, Exec-managerial, Not-in-family, Asian-Pac-Islander, Female,0,0,40, England, <=50K +45, Self-emp-not-inc,201080, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K +36, Private,207157, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K +39, Federal-gov,235485, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,42, United-States, <=50K +46, State-gov,102628, Masters,14, Widowed, Protective-serv, Unmarried, White, Male,0,0,40, United-States, <=50K +18, Private,25828, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,16, United-States, <=50K +66, Local-gov,54826, Assoc-voc,11, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,20, United-States, <=50K +27, Private,124953, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,1980,40, United-States, <=50K +28, State-gov,175325, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K +51, Private,96062, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K +27, Private,428030, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K +28, State-gov,149624, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +27, Private,253814, HS-grad,9, Married-spouse-absent, Sales, Unmarried, White, Female,0,0,25, United-States, <=50K +21, Private,312956, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, United-States, <=50K +34, Private,483777, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K +18, Private,183930, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K +33, Private,37274, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,65, United-States, <=50K +44, Local-gov,181344, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,38, United-States, >50K +43, Private,114580, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +30, Private,633742, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K +40, Private,286370, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, >50K +37, Federal-gov,29054, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,42, United-States, >50K +34, Private,304030, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K +41, Self-emp-not-inc,143129, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +53, ?,135105, Bachelors,13, Divorced, ?, Not-in-family, White, Female,0,0,50, United-States, <=50K +31, Private,99928, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, <=50K +58, State-gov,109567, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,1, United-States, >50K +38, Private,155222, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, Black, Female,0,0,28, United-States, <=50K +24, Private,159567, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +41, Local-gov,523910, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K +47, Private,120939, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, <=50K +41, Federal-gov,130760, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,24, United-States, <=50K +23, Private,197387, 5th-6th,3, Married-civ-spouse, Transport-moving, Other-relative, White, Male,0,0,40, Mexico, <=50K +36, Private,99374, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +40, Federal-gov,56795, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,55, United-States, >50K +35, Private,138992, Masters,14, Married-civ-spouse, Prof-specialty, Other-relative, White, Male,7298,0,40, United-States, >50K +24, Self-emp-not-inc,32921, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K +26, Private,397317, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,1876,40, United-States, <=50K +19, ?,170653, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,40, Italy, <=50K +51, Private,259323, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K +42, Local-gov,254817, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,1340,40, United-States, <=50K +37, State-gov,48211, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, United-States, <=50K +18, Private,140164, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K +36, Private,128757, Bachelors,13, Married-civ-spouse, Other-service, Husband, Black, Male,7298,0,36, United-States, >50K +35, Private,36270, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,60, United-States, <=50K +58, Self-emp-inc,210563, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,15024,0,35, United-States, >50K +17, Private,65368, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,12, United-States, <=50K +44, Local-gov,160943, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K +37, Private,208358, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K +35, Private,153790, Some-college,10, Never-married, Sales, Not-in-family, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K +60, Private,85815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K +54, Self-emp-inc,125417, 7th-8th,4, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K +37, Private,635913, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,60, United-States, >50K +50, Private,313321, Assoc-acdm,12, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K +38, Private,182609, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Poland, <=50K +45, Private,109434, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K +25, Private,255004, 10th,6, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +31, Private,197860, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K +64, ?,187656, 1st-4th,2, Divorced, ?, Not-in-family, White, Male,0,0,40, United-States, <=50K +90, Private,51744, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Male,0,2206,40, United-States, <=50K +54, Private,176681, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,20, United-States, <=50K +53, Local-gov,140359, Preschool,1, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,35, United-States, <=50K +18, Private,243313, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,40, United-States, <=50K +60, ?,24215, 10th,6, Divorced, ?, Not-in-family, Amer-Indian-Eskimo, Female,0,0,10, United-States, <=50K +66, Self-emp-not-inc,167687, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,1409,0,50, United-States, <=50K +75, Private,314209, Assoc-voc,11, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,20, Columbia, <=50K +65, Private,176796, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +35, Private,538583, 11th,7, Separated, Transport-moving, Not-in-family, Black, Male,3674,0,40, United-States, <=50K +41, Private,130408, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,38, United-States, <=50K +25, Private,159732, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,42, United-States, <=50K +33, Private,110978, Some-college,10, Divorced, Craft-repair, Other-relative, Other, Female,0,0,40, United-States, <=50K +28, Private,76714, Prof-school,15, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,55, United-States, >50K +59, State-gov,268700, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +40, State-gov,170525, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,38, United-States, <=50K +41, Private,180138, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Iran, >50K +38, Local-gov,115076, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K +23, Private,115458, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K +40, Private,347890, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +41, Self-emp-not-inc,196001, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,20, United-States, <=50K +24, State-gov,273905, Assoc-acdm,12, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,50, United-States, <=50K +20, ?,119156, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K +38, Private,179488, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,1741,40, United-States, <=50K +56, Private,203580, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,35, ?, <=50K +58, Private,236596, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,45, United-States, >50K +32, Private,183916, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,34, United-States, <=50K +40, Private,207578, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,1977,60, United-States, >50K +45, Private,153141, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K +41, Private,112763, Prof-school,15, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K +42, Private,390781, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K +59, Local-gov,171328, 10th,6, Widowed, Other-service, Unmarried, Black, Female,0,0,30, United-States, <=50K +19, Local-gov,27382, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K +58, Private,259014, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,20, United-States, <=50K +42, Self-emp-not-inc,303044, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, Asian-Pac-Islander, Male,0,0,40, Cambodia, >50K +20, Private,117789, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,40, United-States, <=50K +32, Private,172579, HS-grad,9, Separated, Other-service, Not-in-family, White, Female,0,0,30, United-States, <=50K +45, Private,187666, Assoc-voc,11, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K +50, Private,204518, 7th-8th,4, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +36, Private,150042, Bachelors,13, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K +45, Private,98092, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K +17, Private,245918, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,12, United-States, <=50K +59, Private,146013, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,4064,0,40, United-States, <=50K +26, Private,378322, 11th,7, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +37, Self-emp-inc,257295, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,75, Thailand, >50K +19, ?,218956, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, Canada, <=50K +64, Private,21174, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +33, Private,185480, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K +33, Private,222205, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K +61, Private,69867, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +17, Private,191260, 9th,5, Never-married, Other-service, Own-child, White, Male,1055,0,24, United-States, <=50K +50, Self-emp-not-inc,30653, Masters,14, Married-civ-spouse, Farming-fishing, Husband, White, Male,2407,0,98, United-States, <=50K +27, Local-gov,209109, Masters,14, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K +30, Private,70377, HS-grad,9, Divorced, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K +43, Private,477983, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K +44, Private,170924, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K +35, Private,190174, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +25, Private,193787, Some-college,10, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K +24, Private,279472, Some-college,10, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,7298,0,48, United-States, >50K +22, Private,34918, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,15, Germany, <=50K +42, Local-gov,97688, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,40, United-States, >50K +34, Private,175413, Assoc-acdm,12, Divorced, Sales, Unmarried, Black, Female,0,0,45, United-States, <=50K +60, Private,173960, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,42, United-States, <=50K +21, Private,205759, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K +57, Federal-gov,425161, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,15024,0,40, United-States, >50K +41, Private,220531, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K +50, Private,176609, Some-college,10, Divorced, Other-service, Not-in-family, White, Male,0,0,45, United-States, <=50K +25, Private,371987, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +50, Private,193884, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Ecuador, <=50K +36, Private,200352, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K +31, Private,127595, HS-grad,9, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K +29, Local-gov,220419, Bachelors,13, Never-married, Protective-serv, Not-in-family, White, Male,0,0,56, United-States, <=50K +21, Private,231931, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,45, United-States, <=50K +27, Private,248402, Bachelors,13, Never-married, Tech-support, Unmarried, Black, Female,0,0,40, United-States, <=50K +65, Private,111095, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,16, United-States, <=50K +37, Self-emp-inc,57424, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,60, United-States, <=50K +39, ?,157443, Masters,14, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,3464,0,40, ?, <=50K +24, Private,278130, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K +38, Private,169469, HS-grad,9, Divorced, Sales, Not-in-family, White, Male,0,0,80, United-States, <=50K +48, Private,146268, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7688,0,40, United-States, >50K +21, Private,153718, Some-college,10, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Female,0,0,25, United-States, <=50K +31, Private,217460, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, >50K +55, Private,238638, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,4386,0,40, United-States, >50K +24, Private,303296, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, Laos, <=50K +43, Private,173321, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +26, Private,193945, Assoc-acdm,12, Never-married, Tech-support, Not-in-family, White, Male,0,0,45, United-States, <=50K +46, Private,83082, Assoc-acdm,12, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,33, United-States, <=50K +35, Private,193815, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K +41, Self-emp-inc,34987, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, United-States, >50K +26, Private,59306, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K +34, Private,142897, Masters,14, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,7298,0,35, Taiwan, >50K +19, ?,860348, Some-college,10, Never-married, ?, Own-child, Black, Female,0,0,25, United-States, <=50K +36, Self-emp-not-inc,205607, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, >50K +22, Private,199698, Some-college,10, Never-married, Sales, Own-child, White, Male,0,0,15, United-States, <=50K +24, Private,191954, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K +77, Self-emp-not-inc,138714, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K +22, Private,399087, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Other-relative, White, Female,0,0,40, Mexico, <=50K +29, Private,423158, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K +62, Private,159841, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K +39, Self-emp-not-inc,174308, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K +43, Private,50356, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1485,50, United-States, <=50K +35, Private,186110, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,45, United-States, <=50K +29, Private,200381, 11th,7, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +76, Self-emp-not-inc,174309, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,10, United-States, <=50K +63, Self-emp-not-inc,78383, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,45, United-States, <=50K +23, ?,211601, Assoc-voc,11, Never-married, ?, Own-child, Black, Female,0,0,15, United-States, <=50K +43, Private,187728, Some-college,10, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1887,50, United-States, >50K +58, Self-emp-not-inc,321171, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K +66, Private,127921, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,2050,0,55, United-States, <=50K +41, Private,206565, Some-college,10, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,45, United-States, <=50K +26, Private,224563, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K +47, Private,178686, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K +55, Local-gov,98545, 10th,6, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K +53, Private,242606, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +17, Private,270942, 5th-6th,3, Never-married, Other-service, Other-relative, White, Male,0,0,48, Mexico, <=50K +30, Private,94235, HS-grad,9, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, United-States, <=50K +49, Private,71195, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, <=50K +19, Private,104112, HS-grad,9, Never-married, Sales, Unmarried, Black, Male,0,0,30, Haiti, <=50K +45, Private,261192, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K +26, Private,94936, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K +38, Private,296478, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,7298,0,40, United-States, >50K +36, State-gov,119272, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,7298,0,40, United-States, >50K +33, Private,85043, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,20, United-States, <=50K +22, State-gov,293364, Some-college,10, Never-married, Protective-serv, Own-child, Black, Female,0,0,40, United-States, <=50K +43, Self-emp-not-inc,241895, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,42, United-States, <=50K +67, ?,36135, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K +30, ?,151989, Assoc-voc,11, Divorced, ?, Unmarried, White, Female,0,0,40, United-States, <=50K +56, Private,101128, Assoc-acdm,12, Married-spouse-absent, Other-service, Not-in-family, White, Male,0,0,25, Iran, <=50K +31, Private,156464, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,25, United-States, <=50K +33, Private,117963, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +26, Private,192262, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +33, Private,111363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +46, Local-gov,329752, 11th,7, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,30, United-States, <=50K +59, ?,372020, Bachelors,13, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K +38, Federal-gov,95432, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K +65, Private,161400, 11th,7, Widowed, Other-service, Unmarried, Other, Male,0,0,40, United-States, <=50K +40, Private,96129, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K +42, Private,111949, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,35, United-States, <=50K +26, Self-emp-not-inc,117125, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, <=50K +36, Private,348022, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,24, United-States, <=50K +62, Private,270092, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +43, Private,180609, Bachelors,13, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K +43, Private,174575, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,0,1564,45, United-States, >50K +22, Private,410439, HS-grad,9, Married-spouse-absent, Sales, Not-in-family, White, Male,0,0,55, United-States, <=50K +28, Private,92262, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +56, Self-emp-not-inc,183081, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K +22, Private,362589, Assoc-acdm,12, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K +57, Private,212448, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K +39, Private,481060, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,0,40, United-States, <=50K +26, Federal-gov,185885, Some-college,10, Never-married, Adm-clerical, Unmarried, White, Female,0,0,15, United-States, <=50K +17, Private,89821, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,10, United-States, <=50K +40, State-gov,184018, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,38, United-States, >50K +45, Private,256649, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K +44, Private,160323, HS-grad,9, Never-married, Craft-repair, Not-in-family, Black, Male,0,0,40, United-States, <=50K +20, Local-gov,350845, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,10, United-States, <=50K +33, Private,267404, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, <=50K +23, Private,35633, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K +46, Self-emp-not-inc,80914, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,30, United-States, <=50K +38, Private,172927, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K +54, Private,174319, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K +46, Private,214955, 5th-6th,3, Divorced, Craft-repair, Not-in-family, White, Female,0,2339,45, United-States, <=50K +25, Private,344991, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +46, Private,108699, Some-college,10, Divorced, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K +36, Local-gov,117312, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K +23, Private,396099, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,25, United-States, <=50K +29, Private,134152, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K +44, Private,162028, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,2415,6, United-States, >50K +19, Private,25429, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,16, United-States, <=50K +19, Private,232392, HS-grad,9, Never-married, Other-service, Other-relative, White, Female,0,0,40, United-States, <=50K +35, Private,220098, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,40, United-States, >50K +27, Private,301302, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K +46, Self-emp-not-inc,277946, Assoc-acdm,12, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +34, State-gov,98101, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,45, ?, >50K +34, Private,196164, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K +44, Private,115562, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +45, Private,96975, Some-college,10, Divorced, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K +20, ?,137300, HS-grad,9, Never-married, ?, Other-relative, White, Female,0,0,35, United-States, <=50K +25, Private,86872, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K +52, Self-emp-inc,132178, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K +20, Private,416103, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K +28, Private,108574, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K +50, State-gov,288353, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K +34, Private,227689, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,0,0,64, United-States, <=50K +28, Private,166481, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, Other, Male,0,2179,40, Puerto-Rico, <=50K +41, Private,445382, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,65, United-States, >50K +28, Private,110145, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K +46, Self-emp-not-inc,317253, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,25, United-States, <=50K +28, ?,123147, Some-college,10, Married-civ-spouse, ?, Wife, White, Female,0,1887,40, United-States, >50K +32, Private,364657, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K +41, Local-gov,42346, Some-college,10, Divorced, Other-service, Not-in-family, Black, Female,0,0,24, United-States, <=50K +24, Private,241951, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K +33, Private,118500, Some-college,10, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K +46, Private,188386, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K +31, State-gov,1033222, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +35, Private,92440, 12th,8, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, >50K +52, Private,190762, 1st-4th,2, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, Mexico, <=50K +30, Private,426017, 11th,7, Never-married, Other-service, Own-child, White, Female,0,0,19, United-States, <=50K +34, Local-gov,243867, 11th,7, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K +34, State-gov,240283, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Female,0,0,40, United-States, <=50K +20, Private,61777, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,30, United-States, <=50K +17, Private,175024, 11th,7, Never-married, Handlers-cleaners, Own-child, White, Male,2176,0,18, United-States, <=50K +32, State-gov,92003, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, >50K +29, Private,188401, HS-grad,9, Divorced, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K +33, Private,228528, 10th,6, Never-married, Craft-repair, Unmarried, White, Female,0,0,35, United-States, <=50K +25, Private,133373, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K +36, Federal-gov,255191, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,1408,40, United-States, <=50K +23, Private,204653, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,72, Dominican-Republic, <=50K +63, Self-emp-inc,222289, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +47, Local-gov,287480, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +80, ?,107762, HS-grad,9, Widowed, ?, Not-in-family, White, Male,0,0,24, United-States, <=50K +17, ?,202521, 11th,7, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K +40, Self-emp-not-inc,204116, Bachelors,13, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,2174,0,40, United-States, <=50K +30, Private,29662, Assoc-acdm,12, Married-civ-spouse, Other-service, Wife, White, Female,0,0,25, United-States, >50K +27, Private,116358, Some-college,10, Never-married, Craft-repair, Own-child, Asian-Pac-Islander, Male,0,1980,40, Philippines, <=50K +33, Private,208405, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K +34, Local-gov,284843, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,594,0,60, United-States, <=50K +34, Local-gov,117018, Some-college,10, Never-married, Protective-serv, Not-in-family, White, Female,0,0,40, United-States, <=50K +23, Private,81281, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K +42, Local-gov,340148, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K +29, Private,363425, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K +45, Private,45857, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,28, United-States, <=50K +24, Federal-gov,191073, HS-grad,9, Never-married, Armed-Forces, Own-child, White, Male,0,0,40, United-States, <=50K +44, Private,116632, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +27, Private,405855, 9th,5, Never-married, Craft-repair, Other-relative, White, Male,0,0,40, Mexico, <=50K +20, Private,298227, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,35, United-States, <=50K +44, Private,290521, HS-grad,9, Widowed, Exec-managerial, Unmarried, Black, Female,0,0,40, United-States, <=50K +51, Private,56915, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K +20, Private,146538, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +17, ?,258872, 11th,7, Never-married, ?, Own-child, White, Female,0,0,5, United-States, <=50K +19, Private,206399, HS-grad,9, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K +45, Self-emp-inc,197332, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,55, United-States, >50K +60, Private,245062, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K +42, Private,197583, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,40, ?, >50K +44, Self-emp-not-inc,234885, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, >50K +40, Private,72887, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K +30, Private,180374, HS-grad,9, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,40, United-States, <=50K +38, Private,351299, Some-college,10, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,50, United-States, <=50K +23, Private,54012, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K +32, ?,115745, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K +44, Private,116632, Assoc-acdm,12, Never-married, Farming-fishing, Own-child, White, Male,0,0,40, United-States, <=50K +54, Local-gov,288825, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,40, United-States, <=50K +32, Private,132601, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K +50, Private,193374, 1st-4th,2, Married-spouse-absent, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K +24, Private,170070, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K +37, Private,126708, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,60, United-States, <=50K +52, Private,35598, HS-grad,9, Divorced, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K +38, Private,33983, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +49, Private,192776, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1977,45, United-States, >50K +30, Private,118551, Bachelors,13, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,16, United-States, >50K +60, Private,201965, Some-college,10, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, >50K +22, ?,139883, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K +35, Private,285020, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +30, Private,303990, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,60, United-States, <=50K +67, Private,49401, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K +46, Private,279196, Bachelors,13, Never-married, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K +17, Private,211870, 9th,5, Never-married, Other-service, Not-in-family, White, Male,0,0,6, United-States, <=50K +22, Private,281432, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K +27, Private,161155, 10th,6, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K +23, Private,197904, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,35, United-States, <=50K +33, Private,111746, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, Portugal, <=50K +43, Self-emp-not-inc,170721, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K +28, State-gov,70100, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,20, United-States, <=50K +41, Private,193626, HS-grad,9, Married-spouse-absent, Craft-repair, Unmarried, White, Female,0,0,40, United-States, <=50K +52, ?,271749, 12th,8, Never-married, ?, Other-relative, Black, Male,594,0,40, United-States, <=50K +25, Private,189775, Some-college,10, Married-spouse-absent, Adm-clerical, Own-child, Black, Female,0,0,20, United-States, <=50K +63, ?,401531, 1st-4th,2, Married-civ-spouse, ?, Husband, White, Male,0,0,35, United-States, <=50K +59, Local-gov,286967, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K +45, Local-gov,164427, Bachelors,13, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K +38, Private,91039, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,60, United-States, >50K +40, Private,347934, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,35, United-States, <=50K +46, Federal-gov,371373, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K +35, Private,32220, Assoc-acdm,12, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K +34, Private,187251, HS-grad,9, Divorced, Prof-specialty, Unmarried, White, Female,0,0,25, United-States, <=50K +33, Private,178107, Bachelors,13, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K +41, Private,343121, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,36, United-States, <=50K +20, Private,262749, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K +23, Private,403107, 5th-6th,3, Never-married, Other-service, Own-child, White, Male,0,0,40, El-Salvador, <=50K +26, Private,64293, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,35, United-States, <=50K +72, ?,303588, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,20, United-States, <=50K +23, Local-gov,324960, HS-grad,9, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, Poland, <=50K +62, Local-gov,114060, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +52, Private,48925, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K +58, Private,180980, Some-college,10, Divorced, Other-service, Unmarried, White, Female,0,0,42, France, <=50K +25, Private,181054, Bachelors,13, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K +24, Private,388093, Bachelors,13, Never-married, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K +19, Private,249609, Some-college,10, Never-married, Protective-serv, Own-child, White, Male,0,0,8, United-States, <=50K +43, Private,112131, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K +47, Local-gov,543162, HS-grad,9, Separated, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K +39, Private,91996, HS-grad,9, Divorced, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K +49, Private,141944, Assoc-voc,11, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,1380,42, United-States, <=50K +53, ?,251804, 5th-6th,3, Widowed, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K +32, Private,37070, Assoc-voc,11, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K +34, Private,337587, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K +28, Private,189346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K +57, ?,222216, Assoc-voc,11, Widowed, ?, Unmarried, White, Female,0,0,38, United-States, <=50K +25, Private,267044, Some-college,10, Never-married, Adm-clerical, Not-in-family, Amer-Indian-Eskimo, Female,0,0,20, United-States, <=50K +20, ?,214635, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,24, United-States, <=50K +21, ?,204226, Some-college,10, Never-married, ?, Unmarried, White, Female,0,0,35, United-States, <=50K +34, Private,108116, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K +38, Self-emp-inc,99146, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,80, United-States, >50K +50, Private,196232, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,50, United-States, >50K +24, Local-gov,248344, Some-college,10, Divorced, Handlers-cleaners, Not-in-family, Black, Male,0,0,50, United-States, <=50K +37, Local-gov,186035, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,45, United-States, >50K +44, Private,177905, Some-college,10, Divorced, Machine-op-inspct, Unmarried, White, Male,0,0,58, United-States, >50K +28, Private,85812, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K +42, Private,221172, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +74, Private,99183, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,9, United-States, <=50K +38, Self-emp-not-inc,190387, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K +44, Self-emp-not-inc,202692, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +44, Private,109339, 11th,7, Divorced, Machine-op-inspct, Unmarried, Other, Female,0,0,46, Puerto-Rico, <=50K +26, Private,108658, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K +36, Private,197202, HS-grad,9, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, United-States, <=50K +41, Private,101739, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,0,50, United-States, >50K +67, Private,231559, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,20051,0,48, United-States, >50K +39, Local-gov,207853, 12th,8, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, <=50K +57, Private,190942, 1st-4th,2, Widowed, Priv-house-serv, Not-in-family, Black, Female,0,0,30, United-States, <=50K +29, Private,102345, Assoc-voc,11, Separated, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +31, Self-emp-inc,41493, Bachelors,13, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,45, United-States, <=50K +34, ?,190027, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K +44, Private,210525, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +29, Private,133937, Doctorate,16, Never-married, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K +30, Private,237903, Some-college,10, Never-married, Handlers-cleaners, Unmarried, White, Female,0,0,40, United-States, <=50K +27, Private,163862, HS-grad,9, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K +27, Private,201872, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K +32, Private,84179, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Female,0,0,45, United-States, <=50K +58, Private,51662, 10th,6, Married-civ-spouse, Other-service, Wife, White, Female,0,0,8, United-States, <=50K +35, Local-gov,233327, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K +21, Private,259510, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,36, United-States, <=50K +28, Private,184831, Some-college,10, Never-married, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K +46, Self-emp-not-inc,245724, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K +36, Self-emp-not-inc,27053, HS-grad,9, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K +72, Private,205343, 11th,7, Widowed, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +35, Private,229328, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K +33, Federal-gov,319560, Assoc-voc,11, Divorced, Craft-repair, Unmarried, Black, Female,0,0,40, United-States, >50K +69, Private,136218, 11th,7, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K +35, Private,54576, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +31, Private,323069, HS-grad,9, Separated, Adm-clerical, Unmarried, White, Female,0,0,20, ?, <=50K +34, Private,148291, HS-grad,9, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,32, United-States, <=50K +30, Private,152453, 11th,7, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K +28, Private,114053, Bachelors,13, Never-married, Transport-moving, Not-in-family, White, Male,0,0,55, United-States, <=50K +54, Private,212960, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,35, United-States, >50K +47, Private,264052, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K +24, Private,82804, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,40, United-States, <=50K +52, Self-emp-not-inc,334273, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K +20, Private,27337, HS-grad,9, Never-married, Handlers-cleaners, Own-child, Amer-Indian-Eskimo, Male,0,0,48, United-States, <=50K +43, Self-emp-inc,188436, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,5013,0,45, United-States, <=50K +45, Private,433665, 7th-8th,4, Separated, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K +29, Self-emp-not-inc,110663, HS-grad,9, Separated, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K +47, Private,87490, Masters,14, Divorced, Exec-managerial, Unmarried, White, Male,0,0,42, United-States, <=50K +24, Private,354351, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,40, United-States, <=50K +51, Private,95469, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +17, Private,242718, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,12, United-States, <=50K +37, Private,22463, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1977,40, United-States, >50K +27, Private,158156, Doctorate,16, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,70, United-States, <=50K +29, Private,350162, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Male,0,0,40, United-States, >50K +18, ?,165532, 12th,8, Never-married, ?, Own-child, White, Male,0,0,25, United-States, <=50K +36, Self-emp-not-inc,28738, Assoc-acdm,12, Divorced, Sales, Unmarried, White, Female,0,0,35, United-States, <=50K +58, Local-gov,283635, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K +26, Self-emp-not-inc,86646, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K +65, ?,195733, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,30, United-States, >50K +57, Private,69884, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K +59, Private,199713, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +27, Private,181659, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +31, Self-emp-not-inc,340939, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K +21, Private,197747, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,24, United-States, <=50K +29, Private,34292, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,60, United-States, <=50K +18, Private,156764, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K +52, Private,25826, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1887,47, United-States, >50K +57, Self-emp-inc,103948, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,80, United-States, <=50K +42, ?,137390, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K +55, ?,105138, HS-grad,9, Married-civ-spouse, ?, Wife, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K +60, Private,39352, 7th-8th,4, Never-married, Transport-moving, Not-in-family, White, Male,0,0,48, United-States, >50K +31, Private,168387, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,40, Canada, >50K +23, Private,117789, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K +27, Private,267147, HS-grad,9, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K +23, ?,99399, Some-college,10, Never-married, ?, Unmarried, Amer-Indian-Eskimo, Female,0,0,25, United-States, <=50K +42, Self-emp-not-inc,214242, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K +25, Private,200408, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,2174,0,40, United-States, <=50K +49, Private,136455, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K +32, Private,239824, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K +19, Private,217039, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,28, United-States, <=50K +60, Private,51290, 7th-8th,4, Divorced, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K +42, Local-gov,175674, 9th,5, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +35, Self-emp-not-inc,194404, Assoc-acdm,12, Never-married, Farming-fishing, Not-in-family, White, Male,0,0,40, United-States, <=50K +48, Private,45612, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,37, United-States, <=50K +51, Private,410114, Masters,14, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K +29, Private,182521, HS-grad,9, Never-married, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K +36, Local-gov,339772, HS-grad,9, Separated, Exec-managerial, Not-in-family, Black, Male,0,0,40, United-States, <=50K +17, Private,169658, 10th,6, Never-married, Other-service, Own-child, White, Female,0,0,21, United-States, <=50K +52, Private,200853, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Female,6849,0,60, United-States, <=50K +24, Private,247564, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +24, Private,249909, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, United-States, <=50K +26, Local-gov,208122, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,1055,0,40, United-States, <=50K +27, Private,109881, Bachelors,13, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K +39, Private,207824, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,60, United-States, <=50K +30, Private,369027, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,0,0,45, United-States, <=50K +50, Self-emp-not-inc,114117, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,32, United-States, <=50K +52, Self-emp-inc,51048, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, <=50K +46, Private,102388, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K +23, Private,190483, Bachelors,13, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K +45, Private,462440, 11th,7, Widowed, Other-service, Not-in-family, Black, Female,0,0,20, United-States, <=50K +65, Private,109351, 9th,5, Widowed, Priv-house-serv, Unmarried, Black, Female,0,0,24, United-States, <=50K +29, Private,34383, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K +47, Private,241832, 9th,5, Married-spouse-absent, Handlers-cleaners, Unmarried, White, Male,0,0,40, El-Salvador, <=50K +30, Private,124187, HS-grad,9, Never-married, Farming-fishing, Own-child, Black, Male,0,0,60, United-States, <=50K +34, Private,153614, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, >50K +38, Self-emp-not-inc,267556, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,64, United-States, <=50K +33, Private,205469, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +49, Private,268090, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,26, United-States, >50K +47, Self-emp-not-inc,165039, Some-college,10, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K +49, Local-gov,120451, 10th,6, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K +43, Private,154374, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,60, United-States, >50K +30, Private,103649, Bachelors,13, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, >50K +58, Self-emp-not-inc,35723, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, United-States, <=50K +19, Private,262601, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,14, United-States, <=50K +21, Private,226181, Bachelors,13, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K +33, Private,175697, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,60, United-States, >50K +47, Self-emp-inc,248145, 5th-6th,3, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, Cuba, <=50K +52, Self-emp-not-inc,289436, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K +26, Private,75654, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,55, United-States, <=50K +60, Private,199378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +21, Private,160968, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K +36, Private,188563, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,50, United-States, >50K +31, Private,55849, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K +50, Self-emp-inc,195322, Doctorate,16, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, >50K +31, Local-gov,402089, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +71, Private,78277, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,15, United-States, <=50K +58, ?,158611, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,50, United-States, <=50K +30, State-gov,169496, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K +20, Private,130959, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K +24, Private,556660, HS-grad,9, Never-married, Exec-managerial, Other-relative, White, Male,4101,0,50, United-States, <=50K +35, Private,292472, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Taiwan, >50K +38, State-gov,143774, Some-college,10, Separated, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, <=50K +27, Private,288341, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,32, United-States, <=50K +29, State-gov,71592, Some-college,10, Never-married, Adm-clerical, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, <=50K +70, ?,167358, 9th,5, Widowed, ?, Unmarried, White, Female,1111,0,15, United-States, <=50K +34, Private,106742, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K +44, Private,219288, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K +43, Private,174524, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, >50K +44, Self-emp-not-inc,335183, 12th,8, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, >50K +35, Private,261293, Masters,14, Never-married, Sales, Not-in-family, White, Male,0,0,60, United-States, <=50K +27, Private,111900, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K +43, Local-gov,194360, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,38, United-States, <=50K +20, Private,81145, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,25, United-States, <=50K +42, Private,341204, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, White, Female,8614,0,40, United-States, >50K +27, State-gov,249362, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,3411,0,40, United-States, <=50K +42, Private,247019, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, >50K +20, ?,114746, 11th,7, Married-spouse-absent, ?, Own-child, Asian-Pac-Islander, Female,0,1762,40, South, <=50K +24, Private,172146, 9th,5, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,1721,40, United-States, <=50K +48, Federal-gov,110457, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K +17, ?,80077, 11th,7, Never-married, ?, Own-child, White, Female,0,0,20, United-States, <=50K +17, Self-emp-not-inc,368700, 11th,7, Never-married, Farming-fishing, Own-child, White, Male,0,0,10, United-States, <=50K +33, Private,182556, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +50, Self-emp-inc,219420, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K +22, Private,240817, HS-grad,9, Never-married, Sales, Own-child, White, Female,2597,0,40, United-States, <=50K +17, Private,102726, 12th,8, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K +32, Private,226267, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, Mexico, <=50K +31, Private,125457, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,45, United-States, <=50K +58, Self-emp-not-inc,204021, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K +29, Local-gov,92262, HS-grad,9, Never-married, Protective-serv, Own-child, White, Male,0,0,48, United-States, <=50K +37, Private,161141, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, Portugal, >50K +34, Self-emp-not-inc,190290, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K +23, Local-gov,430828, Some-college,10, Separated, Exec-managerial, Unmarried, Black, Male,0,0,40, United-States, <=50K +18, State-gov,59342, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,5, United-States, <=50K +34, Private,136721, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +66, ?,149422, 7th-8th,4, Never-married, ?, Not-in-family, White, Male,0,0,4, United-States, <=50K +45, Local-gov,86644, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,55, United-States, <=50K +41, Private,195124, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, Dominican-Republic, <=50K +26, Private,167350, HS-grad,9, Never-married, Other-service, Other-relative, White, Male,0,0,30, United-States, <=50K +54, Local-gov,113000, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K +24, Private,140027, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,45, United-States, <=50K +42, Private,262425, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K +20, Private,316702, Some-college,10, Never-married, Prof-specialty, Own-child, White, Male,0,0,20, United-States, <=50K +23, State-gov,335453, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,20, United-States, <=50K +25, ?,202480, Assoc-acdm,12, Never-married, ?, Other-relative, White, Male,0,0,45, United-States, <=50K +35, Private,203628, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,60, United-States, >50K +31, Private,118710, Masters,14, Married-civ-spouse, Tech-support, Husband, White, Male,0,1902,40, United-States, >50K +30, Private,189620, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, Poland, <=50K +19, Private,475028, HS-grad,9, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K +36, Local-gov,110866, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, <=50K +31, Private,243605, Bachelors,13, Widowed, Sales, Unmarried, White, Female,0,1380,40, Cuba, <=50K +21, Private,163870, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,30, United-States, <=50K +31, Self-emp-not-inc,80145, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +46, Private,295566, Doctorate,16, Divorced, Prof-specialty, Unmarried, White, Female,25236,0,65, United-States, >50K +44, Private,63042, Bachelors,13, Divorced, Exec-managerial, Own-child, White, Female,0,0,50, United-States, >50K +40, Private,229148, 12th,8, Married-civ-spouse, Other-service, Husband, Black, Male,0,0,40, Jamaica, <=50K +45, Private,242552, Some-college,10, Never-married, Sales, Not-in-family, Black, Male,0,0,40, United-States, <=50K +60, Private,177665, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K +18, Private,208103, 11th,7, Never-married, Other-service, Other-relative, White, Male,0,0,25, United-States, <=50K +28, Private,296450, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +36, Private,70282, Some-college,10, Divorced, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K +36, Private,271767, Bachelors,13, Separated, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, <=50K +40, Private,144995, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,4386,0,40, United-States, <=50K +36, Local-gov,382635, Bachelors,13, Divorced, Adm-clerical, Unmarried, White, Female,0,0,35, Honduras, <=50K +31, Private,295697, HS-grad,9, Separated, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K +33, Private,194141, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +19, State-gov,378418, HS-grad,9, Never-married, Tech-support, Own-child, White, Female,0,0,40, United-States, <=50K +22, Private,214399, Some-college,10, Never-married, Sales, Own-child, White, Female,0,0,15, United-States, <=50K +34, Private,217460, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +33, Private,182556, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K +41, Private,125831, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,60, United-States, <=50K +29, Private,271328, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,4650,0,40, United-States, <=50K +50, Local-gov,50459, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,42, United-States, >50K +42, Private,162140, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,45, United-States, >50K +43, Private,177937, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, ?, >50K +44, Private,111502, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K +20, Private,299047, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K +31, Private,223212, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, Mexico, <=50K +65, Self-emp-not-inc,118474, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,9386,0,59, ?, >50K +23, Private,352139, Some-college,10, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K +55, Private,173093, Some-college,10, Divorced, Adm-clerical, Not-in-family, Asian-Pac-Islander, Female,0,0,40, United-States, <=50K +26, Private,181655, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,2377,45, United-States, <=50K +25, Private,332702, Assoc-voc,11, Never-married, Other-service, Own-child, White, Female,0,0,15, United-States, <=50K +45, ?,51164, Some-college,10, Married-civ-spouse, ?, Wife, Black, Female,0,0,40, United-States, <=50K +35, Private,234901, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,2407,0,40, United-States, <=50K +36, Private,131414, Some-college,10, Never-married, Sales, Not-in-family, Black, Female,0,0,36, United-States, <=50K +43, State-gov,260960, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K +56, Private,156052, HS-grad,9, Widowed, Other-service, Unmarried, Black, Female,594,0,20, United-States, <=50K +42, Private,279914, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K +19, Private,192453, Some-college,10, Never-married, Other-service, Other-relative, White, Female,0,0,25, United-States, <=50K +55, Self-emp-not-inc,200939, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, United-States, <=50K +42, Private,151408, Masters,14, Never-married, Exec-managerial, Not-in-family, White, Female,14084,0,50, United-States, >50K +26, Private,112847, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K +17, Private,316929, 12th,8, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,20, United-States, <=50K +42, Local-gov,126319, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K +55, Private,197422, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,7688,0,40, United-States, >50K +32, Private,267736, Some-college,10, Never-married, Adm-clerical, Own-child, Black, Female,0,0,40, United-States, <=50K +29, Private,267034, 11th,7, Never-married, Craft-repair, Own-child, Black, Male,0,0,40, Haiti, <=50K +46, State-gov,193047, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,37, United-States, <=50K +29, State-gov,356089, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K +22, Private,223515, Bachelors,13, Never-married, Prof-specialty, Unmarried, White, Male,0,0,20, United-States, <=50K +58, Self-emp-not-inc,87510, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +23, Private,145111, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,50, United-States, <=50K +39, Private,48093, HS-grad,9, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K +27, Private,31757, Assoc-voc,11, Never-married, Craft-repair, Own-child, White, Male,0,0,38, United-States, <=50K +54, Private,285854, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K +33, Local-gov,120064, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,45, United-States, <=50K +46, Federal-gov,167381, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K +37, Private,103408, HS-grad,9, Never-married, Farming-fishing, Not-in-family, Black, Male,0,0,40, United-States, <=50K +36, Private,101460, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,18, United-States, <=50K +59, Local-gov,420537, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,38, United-States, >50K +34, Local-gov,119411, HS-grad,9, Divorced, Protective-serv, Unmarried, White, Male,0,0,40, Portugal, <=50K +53, Self-emp-inc,128272, Doctorate,16, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, >50K +51, Private,386773, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,55, United-States, >50K +32, Private,283268, 10th,6, Separated, Other-service, Unmarried, White, Female,0,0,42, United-States, <=50K +31, State-gov,301526, Some-college,10, Married-spouse-absent, Other-service, Other-relative, White, Male,0,0,40, United-States, <=50K +22, Private,151790, Some-college,10, Married-civ-spouse, Sales, Wife, White, Female,0,0,30, Germany, <=50K +47, Self-emp-not-inc,106252, Bachelors,13, Divorced, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K +32, Private,188557, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K +26, Private,171114, Some-college,10, Never-married, Farming-fishing, Not-in-family, White, Female,0,0,38, United-States, <=50K +37, Private,327323, 5th-6th,3, Separated, Farming-fishing, Not-in-family, White, Male,0,0,32, Guatemala, <=50K +31, Private,244147, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,55, United-States, <=50K +37, Private,280282, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,24, United-States, >50K +55, Private,116442, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,38, United-States, <=50K +23, Local-gov,282579, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Male,0,0,56, United-States, <=50K +36, Private,51838, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +34, Private,73585, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, ?, <=50K +43, Private,226902, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K +54, Private,279129, Some-college,10, Never-married, Tech-support, Not-in-family, White, Male,0,0,40, United-States, <=50K +43, State-gov,146908, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, ?, <=50K +28, Private,196690, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,1669,42, United-States, <=50K +40, Private,130760, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K +41, Self-emp-not-inc,49572, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K +40, Private,237601, Bachelors,13, Never-married, Sales, Not-in-family, Other, Female,0,0,55, United-States, >50K +42, Private,169628, Some-college,10, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,38, United-States, <=50K +61, Self-emp-not-inc,36671, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,2352,50, United-States, <=50K +18, Private,231193, 12th,8, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,30, United-States, <=50K +59, ?,192130, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K +21, ?,149704, HS-grad,9, Never-married, ?, Not-in-family, White, Female,1055,0,40, United-States, <=50K +48, Private,102102, Assoc-voc,11, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,50, United-States, >50K +41, Self-emp-inc,32185, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +18, ?,196061, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,33, United-States, <=50K +23, Private,211046, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,2463,0,40, United-States, <=50K +60, Private,31577, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K +22, Private,162343, Some-college,10, Never-married, Other-service, Other-relative, Black, Male,0,0,20, United-States, <=50K +61, Private,128831, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +25, Private,316688, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K +46, Private,90758, Masters,14, Never-married, Tech-support, Not-in-family, White, Male,0,0,35, United-States, >50K +43, Private,274363, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1902,40, England, >50K +43, Private,154538, Assoc-acdm,12, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +24, Private,106085, HS-grad,9, Never-married, Other-service, Own-child, Black, Male,0,1721,30, United-States, <=50K +68, Self-emp-not-inc,315859, 11th,7, Never-married, Farming-fishing, Unmarried, White, Male,0,0,20, United-States, <=50K +31, Private,51471, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,38, United-States, <=50K +17, Private,193830, 11th,7, Never-married, Sales, Own-child, White, Female,0,0,20, United-States, <=50K +32, Private,231043, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,5178,0,48, United-States, >50K +50, ?,23780, Masters,14, Married-spouse-absent, ?, Other-relative, White, Male,0,0,40, United-States, <=50K +33, Private,169879, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,3103,0,47, United-States, >50K +64, Private,270333, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +20, Private,138768, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,30, United-States, <=50K +30, Private,191571, HS-grad,9, Separated, Other-service, Own-child, White, Female,0,0,36, United-States, <=50K +22, ?,219941, Some-college,10, Never-married, ?, Own-child, Black, Male,0,0,40, United-States, <=50K +43, Private,94113, Some-college,10, Divorced, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K +22, Private,137510, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K +17, Private,32607, 10th,6, Never-married, Farming-fishing, Own-child, White, Male,0,0,20, United-States, <=50K +47, Self-emp-not-inc,93208, HS-grad,9, Married-civ-spouse, Other-service, Wife, White, Female,0,0,75, Italy, <=50K +41, Private,254440, Assoc-voc,11, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,60, United-States, <=50K +56, Private,186556, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K +64, Private,169871, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K +47, Private,191277, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K +48, Private,167159, Assoc-voc,11, Never-married, Adm-clerical, Unmarried, White, Male,0,0,40, United-States, <=50K +31, Private,171871, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,46, United-States, <=50K +29, Private,154411, Assoc-voc,11, Never-married, Tech-support, Own-child, White, Male,0,0,40, United-States, <=50K +30, Private,129227, HS-grad,9, Widowed, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +32, Private,110331, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1672,60, United-States, <=50K +57, Private,34269, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,653,42, United-States, >50K +62, Private,174355, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K +39, Private,680390, HS-grad,9, Separated, Machine-op-inspct, Unmarried, White, Female,0,0,24, United-States, <=50K +43, Private,233130, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,25, United-States, <=50K +24, Self-emp-inc,165474, Bachelors,13, Never-married, Sales, Own-child, White, Male,0,0,40, United-States, <=50K +42, ?,257780, 11th,7, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K +53, Private,194259, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, White, Female,4386,0,40, United-States, >50K +26, Private,280093, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K +73, Self-emp-not-inc,177387, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K +72, ?,28929, 11th,7, Widowed, ?, Not-in-family, White, Female,0,0,24, United-States, <=50K +55, Private,105304, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +25, Private,499233, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K +41, Private,180572, Bachelors,13, Divorced, Prof-specialty, Not-in-family, White, Female,0,0,50, United-States, >50K +24, Private,321435, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,50, United-States, <=50K +63, Private,86108, HS-grad,9, Widowed, Farming-fishing, Not-in-family, White, Male,0,0,6, United-States, <=50K +17, Private,198124, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,20, United-States, <=50K +35, Private,135162, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K +51, Private,146813, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +62, Local-gov,291175, Bachelors,13, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,48, United-States, <=50K +55, Private,387569, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, United-States, >50K +43, Private,102895, Some-college,10, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K +40, Local-gov,33274, HS-grad,9, Divorced, Other-service, Not-in-family, White, Female,0,0,50, United-States, <=50K +37, Private,86551, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +39, Private,138192, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +31, Private,118966, HS-grad,9, Never-married, Craft-repair, Own-child, White, Male,0,0,18, United-States, <=50K +61, Private,99784, Masters,14, Widowed, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, >50K +26, Private,90980, Assoc-voc,11, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,55, United-States, <=50K +46, Self-emp-not-inc,177407, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K +26, Private,96467, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K +48, State-gov,327886, Doctorate,16, Divorced, Prof-specialty, Own-child, White, Male,0,0,50, United-States, >50K +34, Private,111567, HS-grad,9, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K +34, Local-gov,166545, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K +59, Private,142182, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, >50K +34, Private,188798, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,40, United-States, <=50K +49, Private,38563, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,56, United-States, >50K +18, Private,216284, 11th,7, Never-married, Adm-clerical, Own-child, White, Female,0,0,20, United-States, <=50K +43, Private,191547, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, Mexico, <=50K +48, Private,285335, 11th,7, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K +28, Self-emp-inc,142712, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,70, United-States, <=50K +33, Private,80945, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +24, Private,309055, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,15, United-States, <=50K +21, Private,62339, 10th,6, Never-married, Handlers-cleaners, Not-in-family, White, Male,0,0,40, United-States, <=50K +17, Private,368700, 11th,7, Never-married, Sales, Own-child, White, Male,0,0,28, United-States, <=50K +39, Private,176186, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,50, United-States, >50K +29, Self-emp-not-inc,266855, Bachelors,13, Separated, Prof-specialty, Own-child, White, Male,0,0,40, United-States, <=50K +44, Private,48087, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +24, Private,121313, Some-college,10, Never-married, Transport-moving, Own-child, White, Male,0,0,50, United-States, <=50K +71, Self-emp-not-inc,143437, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,10605,0,40, United-States, >50K +51, Self-emp-not-inc,160724, Bachelors,13, Married-civ-spouse, Sales, Husband, Asian-Pac-Islander, Male,0,2415,40, China, >50K +55, Private,282753, 5th-6th,3, Divorced, Other-service, Unmarried, Black, Male,0,0,25, United-States, <=50K +41, Private,194636, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K +23, Private,153044, HS-grad,9, Never-married, Handlers-cleaners, Unmarried, Black, Female,0,0,7, United-States, <=50K +38, Private,411797, Assoc-voc,11, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +39, Private,117683, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K +19, Private,376540, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,30, United-States, <=50K +49, Private,72393, 9th,5, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K +32, Private,270335, Bachelors,13, Married-civ-spouse, Adm-clerical, Other-relative, White, Male,0,0,40, Philippines, >50K +27, Private,96226, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, United-States, <=50K +38, Private,95336, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K +33, Private,258498, Some-college,10, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,60, United-States, <=50K +63, ?,149698, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,15, United-States, <=50K +23, Private,205865, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Male,0,0,28, United-States, <=50K +33, Self-emp-inc,155781, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,60, ?, <=50K +54, Self-emp-not-inc,406468, HS-grad,9, Married-civ-spouse, Sales, Husband, Black, Male,0,0,40, United-States, <=50K +29, Private,177119, Assoc-voc,11, Divorced, Tech-support, Not-in-family, White, Female,2174,0,45, United-States, <=50K +48, ?,144397, Some-college,10, Divorced, ?, Unmarried, Black, Female,0,0,30, United-States, <=50K +35, Self-emp-not-inc,372525, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,40, United-States, <=50K +28, Private,164170, Assoc-voc,11, Married-civ-spouse, Adm-clerical, Wife, Asian-Pac-Islander, Female,0,0,40, India, <=50K +37, Private,183800, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,7688,0,50, United-States, >50K +42, Self-emp-not-inc,177307, Prof-school,15, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,65, United-States, >50K +40, Private,170108, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +47, Private,341995, Some-college,10, Divorced, Sales, Own-child, White, Male,0,0,55, United-States, <=50K +22, Private,226508, Bachelors,13, Never-married, Exec-managerial, Own-child, White, Female,0,0,50, United-States, <=50K +30, Private,87418, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +28, Private,109165, HS-grad,9, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +63, Local-gov,28856, 7th-8th,4, Married-civ-spouse, Other-service, Husband, White, Male,0,0,55, United-States, <=50K +51, Self-emp-not-inc,175897, 9th,5, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K +22, Private,99697, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K +27, ?,90270, Assoc-acdm,12, Married-civ-spouse, ?, Own-child, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K +35, Private,152375, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K +46, Private,171550, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K +37, Private,211154, Some-college,10, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,52, United-States, <=50K +24, Private,202570, Bachelors,13, Never-married, Prof-specialty, Own-child, Black, Male,0,0,15, United-States, <=50K +37, Self-emp-not-inc,168496, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,10, United-States, <=50K +53, Private,68898, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +27, Private,93235, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,30, United-States, <=50K +38, Private,278924, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,44, United-States, <=50K +53, Self-emp-not-inc,311020, 10th,6, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K +34, Private,175878, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +23, Private,543028, HS-grad,9, Never-married, Sales, Own-child, Black, Male,0,0,40, United-States, <=50K +39, Private,202027, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,45, United-States, >50K +43, Private,158926, Masters,14, Married-civ-spouse, Prof-specialty, Wife, Asian-Pac-Islander, Female,0,0,50, South, <=50K +67, Self-emp-inc,76860, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, >50K +81, Self-emp-not-inc,136063, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,30, United-States, <=50K +21, Private,186648, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,20, United-States, <=50K +23, Private,257509, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,25, United-States, <=50K +25, Private,98155, Some-college,10, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K +42, Private,274198, 5th-6th,3, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,38, Mexico, <=50K +38, Private,97083, Some-college,10, Married-civ-spouse, Adm-clerical, Wife, Black, Female,0,0,40, United-States, <=50K +64, ?,29825, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,5, United-States, <=50K +32, Private,262153, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +37, Private,214738, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +51, Private,138022, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, >50K +22, Private,91842, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,42, United-States, <=50K +33, Private,373662, 1st-4th,2, Married-spouse-absent, Priv-house-serv, Not-in-family, White, Female,0,0,40, Guatemala, <=50K +42, Private,162003, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Male,0,0,55, United-States, <=50K +19, ?,52114, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,10, United-States, <=50K +51, Local-gov,241843, Preschool,1, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +23, Private,375871, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, Mexico, <=50K +37, Private,186934, 11th,7, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,44, United-States, >50K +37, Private,176900, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,99, United-States, >50K +47, Private,21906, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,25, United-States, <=50K +41, Private,132222, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,2415,40, United-States, >50K +33, Private,143653, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K +31, Private,111567, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, >50K +31, Private,78602, Assoc-acdm,12, Divorced, Other-service, Unmarried, Amer-Indian-Eskimo, Female,0,0,40, United-States, <=50K +35, Private,465507, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, Black, Male,0,0,40, United-States, <=50K +38, Self-emp-inc,196373, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +18, Private,293227, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,45, United-States, <=50K +20, Private,241752, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +54, Local-gov,166398, Some-college,10, Divorced, Exec-managerial, Unmarried, Black, Female,0,0,35, United-States, <=50K +40, Private,184682, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +36, Self-emp-inc,108293, Bachelors,13, Married-civ-spouse, Exec-managerial, Wife, White, Female,0,1977,45, United-States, >50K +43, Private,250802, Some-college,10, Divorced, Craft-repair, Unmarried, White, Male,0,0,35, United-States, <=50K +44, Self-emp-not-inc,325159, Some-college,10, Divorced, Farming-fishing, Unmarried, White, Male,0,0,40, United-States, <=50K +44, State-gov,174675, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K +43, Private,227065, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,43, United-States, >50K +51, Private,269080, 7th-8th,4, Widowed, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K +18, Private,177722, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K +51, Private,133461, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K +41, Private,239683, 10th,6, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, ?, <=50K +44, Self-emp-inc,398473, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,70, United-States, >50K +33, Local-gov,298785, 10th,6, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K +33, Self-emp-not-inc,123424, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +42, Private,176286, Assoc-acdm,12, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +25, Private,150062, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K +32, Private,169240, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,38, United-States, <=50K +32, Private,288273, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,70, Mexico, <=50K +36, Private,526968, 10th,6, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K +28, Private,57066, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +20, Private,323573, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K +35, Self-emp-inc,368825, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K +55, Self-emp-not-inc,189721, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,20, United-States, <=50K +48, Private,164966, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,40, India, >50K +36, ?,94954, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K +34, Private,202046, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, >50K +28, Private,161538, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,35, United-States, <=50K +67, Private,105252, Bachelors,13, Widowed, Exec-managerial, Not-in-family, White, Male,0,2392,40, United-States, >50K +37, Private,200153, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +44, Private,32185, HS-grad,9, Never-married, Transport-moving, Unmarried, White, Male,0,0,70, United-States, <=50K +25, Private,178326, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,40, United-States, <=50K +21, Private,255957, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,4101,0,40, United-States, <=50K +40, State-gov,188693, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K +78, Private,182977, HS-grad,9, Widowed, Other-service, Not-in-family, Black, Female,2964,0,40, United-States, <=50K +34, Private,159929, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K +49, Private,123207, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,44, United-States, <=50K +22, Private,284317, Assoc-acdm,12, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +23, ?,184699, HS-grad,9, Never-married, ?, Unmarried, Black, Female,0,0,40, United-States, <=50K +60, Self-emp-not-inc,154474, HS-grad,9, Never-married, Farming-fishing, Unmarried, White, Male,0,0,42, United-States, <=50K +45, Local-gov,318280, HS-grad,9, Widowed, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, >50K +63, Private,254907, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K +41, Private,349221, HS-grad,9, Never-married, Craft-repair, Own-child, Black, Female,0,0,35, United-States, <=50K +47, Private,335973, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +44, Private,126701, HS-grad,9, Divorced, Craft-repair, Unmarried, White, Male,0,0,40, United-States, <=50K +51, Private,122159, Some-college,10, Widowed, Prof-specialty, Not-in-family, White, Female,3325,0,40, United-States, <=50K +46, Private,187370, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,1504,40, United-States, <=50K +41, Private,194636, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +50, Self-emp-not-inc,124793, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K +47, Private,192835, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,50, United-States, >50K +35, Private,290226, HS-grad,9, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K +56, Private,112840, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K +45, Private,89325, Masters,14, Divorced, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K +48, Federal-gov,33109, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Male,0,0,58, United-States, >50K +40, Private,82465, Some-college,10, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,2580,0,40, United-States, <=50K +39, Self-emp-inc,329980, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K +20, Private,148294, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K +50, Private,168212, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,65, United-States, >50K +38, State-gov,343642, HS-grad,9, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K +23, Local-gov,115244, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,60, United-States, <=50K +31, Private,162572, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K +58, Private,356067, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K +66, Private,271567, HS-grad,9, Separated, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K +39, Self-emp-inc,180804, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +54, Self-emp-not-inc,123011, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,15024,0,52, United-States, >50K +26, Private,109186, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, Germany, <=50K +51, Private,220537, HS-grad,9, Divorced, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K +34, Private,124827, Assoc-voc,11, Never-married, Transport-moving, Own-child, White, Male,0,0,40, United-States, <=50K +50, Private,767403, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3103,0,40, United-States, >50K +42, Private,118494, Some-college,10, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,44, United-States, >50K +38, Private,173208, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,25, United-States, <=50K +48, Private,107373, 7th-8th,4, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K +33, Private,26973, Assoc-voc,11, Married-civ-spouse, Tech-support, Wife, White, Female,0,0,40, United-States, >50K +51, Private,191965, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,32, United-States, <=50K +22, Private,122346, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +19, ?,117201, HS-grad,9, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K +41, Private,198316, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,50, Japan, <=50K +48, Local-gov,123075, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, >50K +42, Private,209370, HS-grad,9, Separated, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K +34, Private,33117, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +23, Private,129042, HS-grad,9, Never-married, Machine-op-inspct, Unmarried, Black, Female,0,0,40, United-States, <=50K +56, Private,169133, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,50, Yugoslavia, <=50K +30, Private,201624, Bachelors,13, Never-married, Prof-specialty, Not-in-family, Black, Male,0,0,45, ?, <=50K +45, Private,368561, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,55, United-States, >50K +48, Private,207848, 10th,6, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K +48, Self-emp-inc,138370, Masters,14, Married-spouse-absent, Sales, Not-in-family, Asian-Pac-Islander, Male,0,0,50, India, <=50K +31, Private,93106, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +20, State-gov,223515, Assoc-acdm,12, Never-married, Other-service, Own-child, White, Male,0,1719,20, United-States, <=50K +27, Private,389713, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,40, United-States, <=50K +32, Private,206365, HS-grad,9, Never-married, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K +76, ?,431192, 7th-8th,4, Widowed, ?, Not-in-family, White, Male,0,0,2, United-States, <=50K +19, ?,241616, HS-grad,9, Never-married, ?, Unmarried, White, Male,0,2001,40, United-States, <=50K +66, Self-emp-inc,150726, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,1409,0,1, ?, <=50K +37, Private,123785, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,75, United-States, <=50K +34, Private,289984, HS-grad,9, Divorced, Priv-house-serv, Unmarried, Black, Female,0,0,30, United-States, <=50K +34, ?,164309, 11th,7, Married-civ-spouse, ?, Wife, White, Female,0,0,8, United-States, <=50K +90, Private,137018, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,40, United-States, <=50K +23, Private,137994, Some-college,10, Never-married, Machine-op-inspct, Own-child, Black, Female,0,0,40, United-States, <=50K +43, Private,341204, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +44, Private,167005, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,60, United-States, >50K +24, Private,34446, Some-college,10, Never-married, Tech-support, Not-in-family, White, Female,0,0,37, United-States, <=50K +28, Private,187160, Prof-school,15, Divorced, Prof-specialty, Unmarried, White, Male,0,0,55, United-States, <=50K +64, ?,196288, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Female,0,0,20, United-States, <=50K +23, Private,217961, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +20, Private,74631, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,50, United-States, <=50K +36, Private,156667, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,50, United-States, >50K +61, Private,125155, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +53, Self-emp-not-inc,263925, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, Canada, >50K +30, Private,296453, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,7298,0,40, United-States, >50K +52, Self-emp-not-inc,44728, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,55, United-States, >50K +38, Private,193026, Some-college,10, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, Iran, <=50K +32, Private,87643, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K +30, Self-emp-not-inc,106742, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,75, United-States, <=50K +41, Private,302122, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Female,0,0,40, United-States, <=50K +49, Local-gov,193960, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K +45, Private,185385, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,47, United-States, >50K +43, Self-emp-not-inc,277647, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, <=50K +61, Private,128848, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,3471,0,40, United-States, <=50K +54, Private,377701, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,32, Mexico, <=50K +34, Private,157886, Assoc-acdm,12, Separated, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K +49, Private,175958, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,80, United-States, >50K +38, Private,223004, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,40, United-States, <=50K +35, Private,199352, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1977,80, United-States, >50K +36, Private,29984, 12th,8, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +30, Private,181651, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, <=50K +36, Private,117312, Assoc-acdm,12, Divorced, Tech-support, Not-in-family, White, Female,0,0,60, United-States, <=50K +22, Local-gov,34029, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Female,0,0,20, United-States, <=50K +38, Private,132879, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1902,40, United-States, >50K +37, Private,215310, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, >50K +48, State-gov,55863, Doctorate,16, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1902,46, United-States, >50K +17, Private,220384, 11th,7, Never-married, Adm-clerical, Own-child, White, Male,0,0,15, United-States, <=50K +19, Self-emp-not-inc,36012, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,20, United-States, <=50K +27, Private,137645, Bachelors,13, Never-married, Sales, Not-in-family, Black, Female,0,1590,40, United-States, <=50K +22, Private,191342, Bachelors,13, Never-married, Sales, Own-child, Asian-Pac-Islander, Male,0,0,50, Taiwan, <=50K +49, Private,31339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +43, State-gov,227910, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K +43, Private,173728, Bachelors,13, Separated, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K +19, Local-gov,167816, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,35, United-States, <=50K +58, Self-emp-not-inc,81642, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K +41, Local-gov,195258, Some-college,10, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, >50K +31, Private,232475, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K +30, Private,241259, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +32, Private,118161, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K +29, Private,201954, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,35, United-States, <=50K +42, Private,150533, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,52, United-States, >50K +38, Private,412296, HS-grad,9, Divorced, Craft-repair, Own-child, White, Male,0,0,28, United-States, <=50K +41, Federal-gov,133060, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +44, Self-emp-not-inc,120539, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K +31, Private,196025, Doctorate,16, Married-spouse-absent, Prof-specialty, Not-in-family, Asian-Pac-Islander, Male,0,0,60, China, <=50K +34, Private,107793, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +21, Private,163870, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K +22, Self-emp-not-inc,361280, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,20, India, <=50K +62, Private,92178, 10th,6, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,40, United-States, <=50K +19, ?,80710, HS-grad,9, Never-married, ?, Own-child, White, Female,0,0,40, United-States, <=50K +29, Self-emp-inc,260729, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,1977,25, United-States, >50K +43, Private,182254, Some-college,10, Divorced, Prof-specialty, Unmarried, White, Female,0,0,40, United-States, <=50K +68, ?,140282, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,0,0,8, United-States, <=50K +45, Self-emp-inc,149865, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,60, United-States, >50K +39, Self-emp-inc,218184, 9th,5, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,1651,40, Mexico, <=50K +41, Private,118619, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Black, Male,0,0,50, United-States, <=50K +34, Self-emp-not-inc,196791, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,25, United-States, >50K +34, Local-gov,167999, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,33, United-States, <=50K +31, Private,51259, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,47, United-States, <=50K +29, Private,131088, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,25, United-States, <=50K +41, Private,118212, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,3103,0,40, United-States, >50K +41, Private,293791, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K +35, Self-emp-inc,289430, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, Mexico, >50K +33, Private,35378, Bachelors,13, Married-civ-spouse, Sales, Wife, White, Female,0,0,45, United-States, >50K +37, State-gov,60227, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Male,0,0,38, United-States, <=50K +69, Private,168139, HS-grad,9, Married-civ-spouse, Sales, Wife, White, Female,0,0,40, United-States, <=50K +34, Private,290763, HS-grad,9, Divorced, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K +60, Self-emp-inc,226355, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,2415,70, ?, >50K +36, Private,51100, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +41, Private,227644, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, <=50K +58, Local-gov,205267, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K +53, Private,288020, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, Asian-Pac-Islander, Male,0,0,40, Japan, <=50K +29, Private,140863, Some-college,10, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +45, Federal-gov,170915, HS-grad,9, Divorced, Tech-support, Not-in-family, White, Female,4865,0,40, United-States, <=50K +34, State-gov,50178, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,38, United-States, <=50K +36, Private,112497, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +48, Private,95244, Some-college,10, Divorced, Other-service, Unmarried, Black, Female,0,0,35, United-States, <=50K +20, Private,117606, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K +35, Private,89508, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,50, United-States, >50K +63, Federal-gov,124244, HS-grad,9, Widowed, Handlers-cleaners, Not-in-family, Black, Male,0,0,40, United-States, <=50K +41, Self-emp-not-inc,154374, Some-college,10, Divorced, Other-service, Unmarried, White, Male,0,0,45, United-States, <=50K +28, Private,294936, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,45, United-States, <=50K +30, Private,347132, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, Black, Female,0,0,40, United-States, <=50K +34, ?,181934, HS-grad,9, Divorced, ?, Not-in-family, White, Female,0,0,40, United-States, <=50K +31, Private,316672, HS-grad,9, Never-married, Other-service, Unmarried, White, Female,0,0,40, Mexico, <=50K +37, Private,189382, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,38, United-States, <=50K +42, ?,184018, Some-college,10, Divorced, ?, Unmarried, White, Male,0,0,40, United-States, <=50K +31, Private,184307, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Jamaica, >50K +46, Self-emp-not-inc,246212, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +35, Federal-gov,250504, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,60, United-States, >50K +27, Private,138705, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,53, United-States, <=50K +41, Private,328447, 1st-4th,2, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, Mexico, <=50K +19, Private,194608, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,20, United-States, <=50K +20, Private,230891, Some-college,10, Never-married, Sales, Not-in-family, White, Male,0,0,45, United-States, <=50K +59, Federal-gov,212448, HS-grad,9, Widowed, Sales, Unmarried, White, Female,0,0,40, Germany, <=50K +40, Private,214010, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,37, United-States, <=50K +56, Self-emp-not-inc,200235, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, <=50K +33, Private,354573, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,44, United-States, >50K +30, Self-emp-inc,205733, Some-college,10, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,60, United-States, <=50K +46, Private,185041, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,50, United-States, <=50K +61, Self-emp-inc,84409, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,35, United-States, >50K +50, Self-emp-inc,293196, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7298,0,40, United-States, >50K +25, Private,241626, HS-grad,9, Never-married, Other-service, Own-child, White, Male,0,0,30, United-States, <=50K +40, Private,520586, Some-college,10, Divorced, Adm-clerical, Unmarried, White, Female,0,0,39, United-States, <=50K +24, ?,35633, Some-college,10, Never-married, ?, Not-in-family, White, Male,0,0,40, ?, <=50K +51, Private,302847, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,54, United-States, <=50K +43, State-gov,165309, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K +34, Private,117529, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,54, Mexico, <=50K +46, Private,106092, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +28, State-gov,445824, Masters,14, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,50, United-States, >50K +26, Private,227332, Bachelors,13, Never-married, Transport-moving, Unmarried, Asian-Pac-Islander, Male,0,0,40, ?, <=50K +20, Private,275691, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,28, United-States, <=50K +44, Private,193459, Assoc-voc,11, Married-civ-spouse, Craft-repair, Husband, White, Male,3411,0,40, United-States, <=50K +51, Private,284329, HS-grad,9, Widowed, Transport-moving, Unmarried, White, Male,0,0,40, United-States, <=50K +33, Private,114691, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,60, United-States, >50K +54, Private,96062, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, >50K +50, Private,133963, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,1977,40, United-States, >50K +33, Private,178506, HS-grad,9, Divorced, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K +65, Private,350498, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,10605,0,20, United-States, >50K +22, ?,131573, Some-college,10, Never-married, ?, Own-child, White, Female,0,0,8, United-States, <=50K +88, Self-emp-not-inc,206291, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +40, Private,182302, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K +51, Private,241346, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K +50, Private,157043, 11th,7, Divorced, Other-service, Not-in-family, Black, Female,0,0,40, United-States, <=50K +25, Private,404616, Masters,14, Married-civ-spouse, Farming-fishing, Not-in-family, White, Male,0,0,99, United-States, >50K +20, Private,411862, Assoc-voc,11, Never-married, Other-service, Not-in-family, White, Male,0,0,30, United-States, <=50K +47, Private,183013, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +58, ?,169982, Some-college,10, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K +22, Private,188544, Assoc-voc,11, Never-married, Adm-clerical, Own-child, White, Female,0,0,30, United-States, <=50K +50, State-gov,356619, HS-grad,9, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,48, United-States, >50K +47, Private,45857, HS-grad,9, Never-married, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +24, Local-gov,289886, 11th,7, Never-married, Other-service, Not-in-family, Asian-Pac-Islander, Male,0,0,45, United-States, <=50K +50, ?,146015, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K +40, Private,216237, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,45, United-States, >50K +36, Private,416745, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, <=50K +32, Private,202952, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, <=50K +44, Private,167725, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +51, ?,165637, Masters,14, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K +59, Federal-gov,43280, Some-college,10, Never-married, Exec-managerial, Own-child, Black, Female,0,0,40, United-States, <=50K +65, Private,118779, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,30, United-States, <=50K +24, State-gov,191269, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,65, United-States, <=50K +27, Local-gov,247507, Bachelors,13, Never-married, Prof-specialty, Own-child, White, Male,0,0,35, United-States, <=50K +51, Private,239155, Assoc-voc,11, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K +48, Private,182862, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K +39, Private,33886, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, <=50K +28, Private,444304, Bachelors,13, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +19, Private,187161, Some-college,10, Never-married, Other-service, Own-child, White, Female,0,0,25, United-States, <=50K +49, Local-gov,116892, Bachelors,13, Divorced, Prof-specialty, Not-in-family, Black, Female,0,0,40, United-States, <=50K +51, Local-gov,176813, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K +59, Private,151616, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,55, United-States, <=50K +18, Private,240747, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, Dominican-Republic, <=50K +50, Private,75472, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,4386,0,40, ?, <=50K +45, Federal-gov,320818, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,80, United-States, >50K +30, Local-gov,235271, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, >50K +37, Private,166497, Bachelors,13, Divorced, Craft-repair, Not-in-family, White, Male,0,0,35, United-States, <=50K +44, Private,344060, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,40, United-States, >50K +33, Private,221196, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,40, United-States, <=50K +61, Self-emp-inc,113544, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K +61, Local-gov,321117, HS-grad,9, Married-civ-spouse, Protective-serv, Husband, White, Male,0,0,40, United-States, <=50K +38, Private,79619, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,42, United-States, >50K +22, ?,42004, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,30, United-States, <=50K +36, Private,135289, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,45, United-States, <=50K +44, Self-emp-inc,320984, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5178,0,60, United-States, >50K +37, Private,203070, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,62, United-States, <=50K +31, Private,32406, Some-college,10, Divorced, Craft-repair, Unmarried, White, Female,0,0,20, United-States, <=50K +54, Private,99185, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,15024,0,45, United-States, >50K +20, Private,205839, Some-college,10, Never-married, Other-service, Own-child, White, Male,0,0,16, United-States, <=50K +63, ?,150389, Bachelors,13, Widowed, ?, Not-in-family, White, Female,0,0,40, United-States, >50K +48, Self-emp-not-inc,243631, Some-college,10, Married-civ-spouse, Craft-repair, Husband, Amer-Indian-Eskimo, Male,7688,0,40, United-States, >50K +33, ?,163003, HS-grad,9, Divorced, ?, Not-in-family, Asian-Pac-Islander, Female,0,0,41, China, <=50K +31, Private,231263, Bachelors,13, Divorced, Exec-managerial, Not-in-family, White, Male,4650,0,45, United-States, <=50K +38, Private,200818, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +45, Self-emp-not-inc,247379, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K +48, Private,349151, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +53, Private,22154, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +55, Private,176317, HS-grad,9, Widowed, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K +38, Private,22245, Masters,14, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,72, ?, >50K +29, Private,236436, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +36, Private,354078, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K +42, Self-emp-not-inc,166813, Some-college,10, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,60, United-States, <=50K +50, Private,358740, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, England, <=50K +75, Self-emp-not-inc,208426, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,35, United-States, <=50K +46, Private,265266, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1902,40, United-States, >50K +52, Federal-gov,31838, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +27, Private,175034, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +43, Private,413297, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, <=50K +31, Private,106347, 11th,7, Separated, Other-service, Not-in-family, Black, Female,0,0,42, United-States, <=50K +23, Private,174754, Some-college,10, Never-married, Sales, Not-in-family, White, Female,0,0,30, United-States, <=50K +34, Private,441454, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,24, United-States, <=50K +41, Self-emp-not-inc,209344, HS-grad,9, Married-civ-spouse, Sales, Other-relative, White, Female,0,0,40, Cuba, <=50K +31, Private,185732, HS-grad,9, Never-married, Other-service, Own-child, White, Female,0,0,30, United-States, <=50K +42, Private,65372, Some-college,10, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K +35, Private,33975, Masters,14, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, >50K +55, Private,326297, HS-grad,9, Separated, Adm-clerical, Not-in-family, White, Female,0,0,25, United-States, <=50K +36, State-gov,194630, HS-grad,9, Widowed, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +65, Self-emp-not-inc,167414, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,59, United-States, >50K +38, Local-gov,165799, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,12, United-States, <=50K +62, Private,192866, Some-college,10, Widowed, Other-service, Not-in-family, White, Female,0,0,20, United-States, <=50K +54, Self-emp-inc,166459, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,99999,0,60, United-States, >50K +49, Private,148995, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K +34, Private,190040, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, <=50K +32, Private,209432, HS-grad,9, Never-married, Handlers-cleaners, Own-child, White, Female,0,0,40, United-States, <=50K +51, Self-emp-inc,229465, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,15024,0,50, United-States, >50K +48, Self-emp-not-inc,397466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K +30, Private,283767, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, ?, <=50K +52, Federal-gov,202452, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,43, United-States, <=50K +28, Self-emp-not-inc,218555, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,1762,40, United-States, <=50K +29, Private,128604, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K +38, Private,65466, Bachelors,13, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,50, United-States, <=50K +57, Private,141326, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, >50K +43, Federal-gov,369468, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +37, State-gov,136137, Some-college,10, Separated, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K +30, Private,236770, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +53, Private,89534, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,48, United-States, >50K +69, ?,195779, Assoc-voc,11, Widowed, ?, Not-in-family, White, Female,0,0,1, United-States, <=50K +73, Private,29778, HS-grad,9, Widowed, Other-service, Not-in-family, White, Female,0,0,37, United-States, <=50K +22, Self-emp-inc,153516, Some-college,10, Never-married, Craft-repair, Own-child, White, Male,0,0,35, United-States, <=50K +31, Private,163594, HS-grad,9, Never-married, Sales, Not-in-family, White, Female,0,0,45, United-States, <=50K +38, Private,189623, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,1887,40, United-States, >50K +50, Self-emp-not-inc,343748, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,35, United-States, <=50K +37, Private,387430, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,37, United-States, <=50K +44, Local-gov,409505, Bachelors,13, Divorced, Protective-serv, Not-in-family, White, Male,0,0,40, United-States, <=50K +47, Private,200734, Bachelors,13, Never-married, Exec-managerial, Unmarried, Black, Female,0,0,45, United-States, <=50K +27, Private,115831, Some-college,10, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +28, Private,150296, Assoc-acdm,12, Never-married, Other-service, Not-in-family, White, Female,0,0,80, United-States, <=50K +25, Private,323545, HS-grad,9, Never-married, Tech-support, Not-in-family, Black, Female,0,0,40, United-States, <=50K +20, Private,232577, Some-college,10, Never-married, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K +51, Local-gov,152754, Bachelors,13, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K +46, Private,129007, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,1977,40, United-States, >50K +67, Private,171584, Bachelors,13, Married-civ-spouse, Protective-serv, Husband, White, Male,6514,0,7, United-States, >50K +47, Private,386136, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,35, United-States, <=50K +42, Private,342865, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, <=50K +52, Private,186785, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,1876,50, United-States, <=50K +42, Federal-gov,158926, Assoc-acdm,12, Divorced, Prof-specialty, Unmarried, Asian-Pac-Islander, Female,0,0,40, Philippines, >50K +65, ?,36039, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, >50K +21, Private,164019, Some-college,10, Never-married, Farming-fishing, Own-child, Black, Male,0,0,10, United-States, <=50K +50, Private,88926, HS-grad,9, Married-civ-spouse, Adm-clerical, Wife, White, Female,5178,0,40, United-States, >50K +46, Private,188861, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +47, Self-emp-not-inc,370119, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,15024,0,50, United-States, >50K +57, Private,182062, 10th,6, Married-civ-spouse, Other-service, Husband, White, Male,0,0,40, United-States, <=50K +37, Private,37238, Bachelors,13, Never-married, Exec-managerial, Not-in-family, White, Male,0,0,45, United-States, <=50K +50, Private,421132, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +58, ?,178660, 12th,8, Married-civ-spouse, ?, Husband, White, Male,0,0,40, United-States, <=50K +63, Self-emp-not-inc,795830, 1st-4th,2, Widowed, Other-service, Unmarried, White, Female,0,0,30, El-Salvador, <=50K +39, Private,278403, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,65, United-States, <=50K +46, Private,279661, Masters,14, Married-civ-spouse, Prof-specialty, Husband, Black, Male,0,0,35, United-States, <=50K +36, Private,113397, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, United-States, <=50K +26, Private,280093, 5th-6th,3, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1628,50, United-States, <=50K +21, Private,236696, Some-college,10, Never-married, Other-service, Not-in-family, White, Male,0,0,57, United-States, <=50K +41, Private,265266, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,40, United-States, <=50K +44, Local-gov,34935, Some-college,10, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K +22, Private,58222, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +29, Federal-gov,301010, Some-college,10, Never-married, Armed-Forces, Not-in-family, Black, Male,0,0,60, United-States, <=50K +29, Private,419721, HS-grad,9, Never-married, Other-service, Unmarried, Black, Female,0,0,40, Japan, <=50K +58, Self-emp-inc,186791, Some-college,10, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, >50K +36, Self-emp-not-inc,180686, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,50, United-States, <=50K +30, Private,209103, Assoc-voc,11, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,48, United-States, <=50K +37, Private,32668, Bachelors,13, Married-civ-spouse, Machine-op-inspct, Husband, White, Male,0,0,43, United-States, >50K +29, Private,256956, Assoc-voc,11, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K +26, Private,202203, 5th-6th,3, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, Mexico, <=50K +43, Private,85995, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,45, United-States, <=50K +49, Private,125421, HS-grad,9, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,40, United-States, >50K +45, Federal-gov,283037, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K +28, Private,192932, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K +20, ?,244689, Some-college,10, Never-married, ?, Not-in-family, White, Female,0,0,25, United-States, <=50K +51, Private,179646, HS-grad,9, Divorced, Adm-clerical, Unmarried, White, Female,0,0,40, United-States, <=50K +32, Private,509350, Some-college,10, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,50, Canada, >50K +24, Private,96279, HS-grad,9, Never-married, Machine-op-inspct, Own-child, White, Female,0,0,40, United-States, <=50K +35, Private,119098, Doctorate,16, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,40, United-States, >50K +35, ?,327120, Assoc-acdm,12, Never-married, ?, Not-in-family, White, Male,0,0,55, United-States, <=50K +41, State-gov,144928, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +48, Private,55237, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,45, United-States, >50K +61, Local-gov,101265, HS-grad,9, Widowed, Adm-clerical, Unmarried, White, Female,1471,0,35, United-States, <=50K +20, Private,114874, Some-college,10, Never-married, Adm-clerical, Own-child, White, Male,0,0,30, United-States, <=50K +27, Private,190525, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K +55, Private,121912, Some-college,10, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,24, United-States, >50K +39, Private,83893, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, White, Male,0,0,40, United-States, >50K +17, ?,138507, 10th,6, Never-married, ?, Own-child, White, Male,0,0,20, United-States, <=50K +47, Private,256522, HS-grad,9, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,0,0,40, ?, <=50K +52, Private,168381, HS-grad,9, Widowed, Other-service, Unmarried, Asian-Pac-Islander, Female,0,0,40, India, >50K +24, Private,293579, HS-grad,9, Never-married, Sales, Own-child, Black, Female,0,0,20, United-States, <=50K +29, Private,285290, 11th,7, Never-married, Other-service, Unmarried, Black, Female,0,0,40, United-States, <=50K +25, Private,188488, HS-grad,9, Never-married, Machine-op-inspct, Other-relative, White, Male,0,0,40, United-States, <=50K +20, Private,324469, Some-college,10, Never-married, Machine-op-inspct, Not-in-family, White, Female,0,0,40, United-States, <=50K +23, Private,275244, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,35, United-States, <=50K +57, Private,265099, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, <=50K +51, Private,146767, Assoc-voc,11, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +33, Private,40681, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Female,3674,0,16, United-States, <=50K +39, Private,174938, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,40, United-States, <=50K +40, Private,240124, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, >50K +71, Private,269708, Bachelors,13, Divorced, Tech-support, Own-child, White, Female,2329,0,16, United-States, <=50K +38, State-gov,34180, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,40, United-States, <=50K +28, State-gov,225904, Prof-school,15, Never-married, Prof-specialty, Unmarried, White, Male,0,0,40, United-States, <=50K +57, Private,89392, Masters,14, Married-spouse-absent, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K +47, Private,46857, Some-college,10, Divorced, Adm-clerical, Not-in-family, White, Male,0,0,40, United-States, <=50K +59, State-gov,105363, HS-grad,9, Never-married, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K +26, Private,195105, HS-grad,9, Never-married, Sales, Not-in-family, Other, Male,0,0,40, United-States, <=50K +35, Private,184117, Bachelors,13, Never-married, Adm-clerical, Own-child, White, Female,0,0,40, United-States, <=50K +61, Self-emp-inc,134768, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, Germany, >50K +17, ?,145886, 11th,7, Never-married, ?, Own-child, White, Female,0,0,30, United-States, <=50K +36, Private,153078, Bachelors,13, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,0,0,60, ?, >50K +62, ?,225652, 7th-8th,4, Married-civ-spouse, ?, Husband, White, Male,3411,0,50, United-States, <=50K +34, Private,467108, Some-college,10, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,50, United-States, >50K +32, Self-emp-inc,199765, Bachelors,13, Married-civ-spouse, Craft-repair, Husband, White, Male,7688,0,50, United-States, >50K +42, Private,173938, HS-grad,9, Separated, Sales, Own-child, White, Female,0,0,40, United-States, <=50K +39, Private,191161, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, <=50K +58, Private,132606, 5th-6th,3, Divorced, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K +61, Self-emp-not-inc,30073, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,1848,60, United-States, >50K +40, Private,155190, 10th,6, Never-married, Craft-repair, Other-relative, Black, Male,0,0,55, United-States, <=50K +31, Private,42900, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Male,0,0,37, United-States, <=50K +36, Private,191161, HS-grad,9, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K +23, Private,181820, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,40, United-States, <=50K +33, Private,105974, HS-grad,9, Never-married, Craft-repair, Not-in-family, White, Male,0,0,41, United-States, <=50K +52, Private,146378, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,40, United-States, >50K +22, Private,103440, HS-grad,9, Never-married, Other-service, Not-in-family, White, Female,0,0,24, United-States, <=50K +51, Private,203435, Some-college,10, Divorced, Sales, Unmarried, White, Female,0,0,40, Italy, <=50K +31, Federal-gov,168312, Assoc-voc,11, Never-married, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +49, Self-emp-inc,257764, HS-grad,9, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, United-States, <=50K +49, Private,171301, HS-grad,9, Married-civ-spouse, Machine-op-inspct, Wife, Black, Female,0,0,40, United-States, <=50K +53, Federal-gov,225339, Some-college,10, Widowed, Adm-clerical, Not-in-family, Black, Female,0,0,40, United-States, <=50K +52, Private,152234, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, Asian-Pac-Islander, Male,99999,0,40, Japan, >50K +20, Private,444554, 10th,6, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,40, United-States, <=50K +26, Private,403788, Assoc-acdm,12, Never-married, Other-service, Own-child, Black, Male,0,0,40, United-States, <=50K +61, ?,190997, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,6, United-States, <=50K +43, Private,221550, Masters,14, Never-married, Other-service, Not-in-family, White, Female,0,0,30, Poland, <=50K +46, Self-emp-inc,98929, Bachelors,13, Married-civ-spouse, Sales, Husband, White, Male,0,0,52, United-States, <=50K +43, Local-gov,169203, Assoc-voc,11, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,35, United-States, <=50K +41, Private,102332, HS-grad,9, Divorced, Sales, Unmarried, Black, Female,0,0,40, United-States, <=50K +44, Self-emp-not-inc,230684, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,55, United-States, <=50K +54, Private,449257, HS-grad,9, Married-civ-spouse, Farming-fishing, Husband, White, Male,0,0,40, United-States, <=50K +65, Private,198766, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,20051,0,40, United-States, >50K +32, Private,97429, Bachelors,13, Divorced, Exec-managerial, Unmarried, White, Female,0,0,40, Canada, <=50K +25, Private,208999, Some-college,10, Separated, Adm-clerical, Own-child, White, Male,0,0,40, United-States, <=50K +23, Private,37072, Bachelors,13, Never-married, Sales, Not-in-family, White, Male,0,0,50, United-States, <=50K +25, Local-gov,163101, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Male,0,0,45, United-States, <=50K +19, Private,119075, Some-college,10, Never-married, Handlers-cleaners, Own-child, White, Male,0,0,50, United-States, <=50K +37, Self-emp-not-inc,137314, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K +45, Private,127303, Some-college,10, Never-married, Machine-op-inspct, Own-child, White, Male,0,0,45, United-States, <=50K +37, Private,349116, HS-grad,9, Never-married, Sales, Not-in-family, Black, Male,0,0,44, United-States, <=50K +40, Self-emp-not-inc,266324, Some-college,10, Divorced, Exec-managerial, Other-relative, White, Male,0,1564,70, Iran, >50K +19, ?,194095, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,40, United-States, <=50K +17, Private,46496, 11th,7, Never-married, Other-service, Own-child, White, Male,0,0,5, United-States, <=50K +27, Private,29904, Bachelors,13, Never-married, Tech-support, Not-in-family, White, Female,0,0,40, United-States, <=50K +40, Local-gov,289403, 7th-8th,4, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,1887,40, ?, >50K +59, Private,226922, HS-grad,9, Divorced, Sales, Unmarried, White, Female,0,1762,30, United-States, <=50K +19, Federal-gov,234151, HS-grad,9, Never-married, Adm-clerical, Unmarried, Black, Female,0,0,40, United-States, <=50K +43, Private,238287, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K +42, Private,230624, 10th,6, Never-married, Transport-moving, Unmarried, White, Male,0,0,40, United-States, >50K +54, Private,398212, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, Black, Male,5013,0,40, United-States, <=50K +54, Self-emp-not-inc,114758, Masters,14, Married-civ-spouse, Sales, Husband, White, Male,0,0,50, United-States, <=50K +51, Private,246519, 10th,6, Married-civ-spouse, Handlers-cleaners, Husband, White, Male,2105,0,45, United-States, <=50K +50, Private,137815, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,60, United-States, >50K +40, Private,260696, HS-grad,9, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +55, Private,325007, Assoc-acdm,12, Married-civ-spouse, Tech-support, Husband, White, Male,0,0,25, United-States, <=50K +50, Private,113176, HS-grad,9, Divorced, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +31, Private,66815, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,0,50, United-States, <=50K +42, ?,51795, HS-grad,9, Divorced, ?, Unmarried, Black, Female,0,0,32, United-States, <=50K +24, Private,241523, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,0,45, United-States, >50K +30, Private,30226, 11th,7, Divorced, Sales, Own-child, White, Male,0,0,40, United-States, <=50K +39, Local-gov,352628, Assoc-acdm,12, Married-civ-spouse, Craft-repair, Wife, White, Female,0,0,50, United-States, >50K +37, Private,143912, HS-grad,9, Divorced, Transport-moving, Not-in-family, White, Male,0,0,50, United-States, <=50K +33, Private,130021, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, <=50K +48, Private,329778, HS-grad,9, Widowed, Other-service, Unmarried, White, Female,0,0,40, United-States, <=50K +43, Self-emp-inc,196945, HS-grad,9, Married-civ-spouse, Other-service, Husband, Asian-Pac-Islander, Male,0,0,78, Thailand, <=50K +39, Private,24342, Bachelors,13, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,40, United-States, >50K +53, Private,34368, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +52, Self-emp-not-inc,173839, 10th,6, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,60, United-States, <=50K +28, State-gov,73211, Some-college,10, Married-civ-spouse, Adm-clerical, Husband, Asian-Pac-Islander, Male,0,0,20, United-States, <=50K +32, Private,86723, HS-grad,9, Never-married, Other-service, Not-in-family, White, Male,0,0,52, United-States, <=50K +31, Private,179186, Bachelors,13, Married-civ-spouse, Sales, Husband, Black, Male,0,0,90, United-States, >50K +31, Private,127610, Bachelors,13, Married-civ-spouse, Prof-specialty, Wife, White, Female,0,0,40, United-States, >50K +47, Private,115070, Some-college,10, Never-married, Adm-clerical, Not-in-family, White, Female,0,0,40, United-States, <=50K +19, ?,172582, Some-college,10, Never-married, ?, Own-child, White, Male,0,0,50, United-States, <=50K +40, Private,256202, Assoc-voc,11, Married-civ-spouse, Handlers-cleaners, Husband, Black, Male,0,0,40, United-States, <=50K +40, Private,202872, Assoc-acdm,12, Never-married, Adm-clerical, Own-child, White, Female,0,0,45, United-States, <=50K +41, Private,184102, 11th,7, Divorced, Other-service, Not-in-family, White, Male,0,0,40, United-States, <=50K +53, Federal-gov,130703, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K +46, Private,134727, 11th,7, Divorced, Machine-op-inspct, Unmarried, Amer-Indian-Eskimo, Male,0,0,43, Germany, <=50K +45, Self-emp-inc,36228, Bachelors,13, Married-civ-spouse, Farming-fishing, Husband, White, Male,4386,0,35, United-States, >50K +39, Private,297847, 9th,5, Married-civ-spouse, Other-service, Wife, Black, Female,3411,0,34, United-States, <=50K +19, Private,213644, HS-grad,9, Never-married, Machine-op-inspct, Not-in-family, White, Male,0,0,40, United-States, <=50K +57, Private,173796, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,1887,40, United-States, >50K +49, Private,147322, Assoc-voc,11, Married-civ-spouse, Machine-op-inspct, Wife, White, Female,0,0,40, Peru, <=50K +59, Private,296253, HS-grad,9, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,40, United-States, <=50K +32, Private,180871, Assoc-voc,11, Divorced, Sales, Not-in-family, White, Male,0,0,50, United-States, >50K +18, ?,169882, Some-college,10, Never-married, ?, Own-child, White, Female,594,0,15, United-States, <=50K +35, State-gov,211115, Some-college,10, Never-married, Protective-serv, Not-in-family, Black, Male,0,0,40, United-States, <=50K +58, Self-emp-inc,183870, 10th,6, Married-civ-spouse, Transport-moving, Wife, White, Female,0,0,40, United-States, <=50K +28, Private,441620, Bachelors,13, Never-married, Other-service, Not-in-family, White, Male,0,0,43, Mexico, <=50K +36, Federal-gov,218542, Assoc-acdm,12, Married-civ-spouse, Adm-clerical, Wife, White, Female,0,0,40, United-States, >50K +41, Self-emp-not-inc,141327, Masters,14, Divorced, Prof-specialty, Unmarried, White, Female,0,0,35, United-States, <=50K +47, Private,67716, HS-grad,9, Married-civ-spouse, Sales, Husband, White, Male,0,0,40, United-States, >50K +50, Self-emp-inc,175339, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, White, Male,0,1672,60, United-States, <=50K +61, ?,347089, HS-grad,9, Married-civ-spouse, ?, Husband, White, Male,0,0,16, United-States, <=50K +36, Private,336595, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K +38, Private,27997, Assoc-voc,11, Divorced, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, <=50K +56, Self-emp-not-inc,145574, HS-grad,9, Married-civ-spouse, Other-service, Husband, White, Male,0,1902,60, United-States, >50K +50, Private,30447, Assoc-voc,11, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,45, United-States, <=50K +45, Self-emp-not-inc,256866, Some-college,10, Married-civ-spouse, Sales, Husband, White, Male,5013,0,40, United-States, <=50K +44, Self-emp-not-inc,120837, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,66, United-States, <=50K +51, Private,185283, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,45, United-States, >50K +44, Self-emp-inc,229466, Some-college,10, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K +25, Private,298225, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,0,0,50, United-States, <=50K +60, Private,185749, 11th,7, Widowed, Transport-moving, Unmarried, Black, Male,0,0,40, United-States, <=50K +17, ?,333100, 10th,6, Never-married, ?, Own-child, White, Male,1055,0,30, United-States, <=50K +49, Self-emp-inc,125892, Masters,14, Married-civ-spouse, Exec-managerial, Husband, White, Male,0,0,50, United-States, >50K +46, Private,563883, HS-grad,9, Married-civ-spouse, Craft-repair, Husband, Black, Male,0,0,60, United-States, >50K +56, Private,311249, HS-grad,9, Widowed, Adm-clerical, Unmarried, Black, Female,0,0,38, United-States, <=50K +25, Private,221757, HS-grad,9, Divorced, Craft-repair, Not-in-family, White, Male,3325,0,45, United-States, <=50K +22, Private,310152, Some-college,10, Never-married, Transport-moving, Not-in-family, White, Male,0,0,40, United-States, <=50K +76, ?,211453, HS-grad,9, Widowed, ?, Not-in-family, Black, Female,0,0,2, United-States, <=50K +41, Self-emp-inc,94113, Prof-school,15, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,60, United-States, >50K +48, Self-emp-inc,192945, HS-grad,9, Married-civ-spouse, Exec-managerial, Husband, White, Male,7688,0,40, United-States, >50K +46, Private,161508, 10th,6, Never-married, Machine-op-inspct, Not-in-family, Black, Male,0,0,40, United-States, <=50K +30, Private,177675, Some-college,10, Never-married, Craft-repair, Not-in-family, White, Male,0,0,40, United-States, >50K +39, Private,51100, HS-grad,9, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,40, United-States, >50K +40, Private,100584, 10th,6, Divorced, Craft-repair, Not-in-family, Amer-Indian-Eskimo, Male,0,0,40, United-States, <=50K +70, Federal-gov,163003, HS-grad,9, Married-civ-spouse, Adm-clerical, Husband, Black, Male,0,0,40, United-States, <=50K +35, Private,67728, Some-college,10, Married-civ-spouse, Craft-repair, Husband, White, Male,0,2051,45, United-States, <=50K +49, Private,101320, Masters,14, Divorced, Exec-managerial, Not-in-family, White, Female,0,0,75, United-States, <=50K +24, Private,42706, Assoc-voc,11, Never-married, Protective-serv, Not-in-family, White, Male,0,0,60, United-States, <=50K +40, Private,228535, Assoc-acdm,12, Married-civ-spouse, Prof-specialty, Husband, White, Male,7298,0,36, United-States, >50K +61, Private,120939, Prof-school,15, Married-civ-spouse, Transport-moving, Husband, White, Male,0,0,5, United-States, >50K +25, Private,98283, Bachelors,13, Never-married, Prof-specialty, Own-child, Asian-Pac-Islander, Male,0,0,40, United-States, <=50K +28, Local-gov,216481, Bachelors,13, Never-married, Prof-specialty, Not-in-family, White, Female,0,0,40, United-States, <=50K +69, State-gov,208869, Masters,14, Married-civ-spouse, Prof-specialty, Husband, White, Male,0,0,11, United-States, <=50K +22, 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model_test_report.html

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Report generated on 10-Sep-2023 at 16:55:52 by pytest-html + v4.0.0

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Environment

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Summary

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1 test took 00:00:02.

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(Un)check the boxes to filter the results.

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+ + 0 Failed, + + 1 Passed, + + 0 Skipped, + + 0 Unexpected failures, + + 0 Unexpected passes, + + 0 Errors, + + 0 Reruns +
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+  /  +
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ResultTestDurationLinks
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+ \ No newline at end of file diff --git a/tests/test_api.py b/tests/test_api.py new file mode 100644 index 0000000000..ea938817c3 --- /dev/null +++ b/tests/test_api.py @@ -0,0 +1,259 @@ +#!/usr/bin/env -S python3 -i + +""" +Testsuite for FastAPI checks. +For response attributes and methods see: +https://www.geeksforgeeks.org/response-methods-python-requests/ + +Note (2024-02): +FastAPI usage of Pydantic V1 has different conditions as V2. +Therefore, some test coding has to be changed for V2. +It is mentioned in the specific test code. + +author: I. Brinkmeier +date: 2023-09 +update: 2024-02, usage of pydantic V2 as dependency for fastapi +""" + +################### +# Imports +################### +import pytest +from http import HTTPStatus +from fastapi.testclient import TestClient + +from src.main import app + + +################### +# Coding +################### + + +def test_root(): + """ + Tests GET root function for greeting + """ + with TestClient(app) as client: + response = client.get('/') + assert response.status_code == HTTPStatus.OK + assert response.request.method == "GET" + assert response.content == b"Welcome to the Udacity MLOps project 3 and its salary prediction application!" + + +@pytest.mark.parametrize('test_input, expected', + [ + ('age', "Person's age - numerical value (int)"), + ('marital_status', "Person's marital status - nominal categorical value (str)") + ]) +def test_feature_info_response(test_input: str, expected: str): + """ + Tests GET request response of function feature_labels() + + Args: + test_input (str): example input + expected (str): example output + """ + with TestClient(app) as client: + response = client.get(f'/feature_labels/{test_input}') + assert response.json() == expected + + +def test_predict_status(): + """ + Tests POST predict function status with first sample of dataset + """ + sample = { + 'age': 39, + 'workclass': 'State-gov', + 'fnlgt': 77516, + 'education': 'Bachelors', + 'education_num': 13, + 'marital_status': 'Never-married', + 'occupation': 'Adm-clerical', + 'relationship': 'Not-in-family', + 'race': 'White', + 'sex': 'Male', + 'capital_gain': 2174, + 'capital_loss': 0, + 'hours_per_week': 40, + 'native_country': 'United-States' + } + + with TestClient(app) as client: + response = client.post("/predict/", json=sample) + assert response.status_code == HTTPStatus.OK + assert response.request.method == "POST" + + +def test_missing_feature_predict(): + """ + Tests POST predict function about failure due to missing features. + Regarding the associated example for FastAPI, it starts with missing age feature. + """ + data = {} + with TestClient(app) as client: + response = client.post("/predict/", json=data) + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY # no. 422 + assert response.request.method == "POST" + # prints out the details about wrong types of Person json body items + #print(response.json()["detail"][0]) + assert response.json()["detail"][0]["type"] == "missing" + + +def test_predict_response_negative(): + """ + Tests POST predict function about successful response with first sample of dataset. + 'salary' of first sample is '<=50K'. + """ + sample = { + 'age': 39, + 'workclass': 'State-gov', + 'fnlgt': 77516, + 'education': 'Bachelors', + 'education_num': 13, + 'marital_status': 'Never-married', + 'occupation': 'Adm-clerical', + 'relationship': 'Not-in-family', + 'race': 'White', + 'sex': 'Male', + 'capital_gain': 2174, + 'capital_loss': 0, + 'hours_per_week': 40, + 'native_country': 'United-States' + } + with TestClient(app) as client: + response = client.post("/predict/", json=sample) + assert response.status_code == HTTPStatus.OK + assert response.request.method == "POST" + assert response.content == b'income prediction label: 0, salary class: <=50k' + # using CLI pytest command with python 3.10.9 the following line throws + # json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) + # but results in a successful sanitycheck, this Udacity script + # checks response.json only, but not a FastAPI Response instance + # assert response.json()['salary class'] == '<=50k' + + +def test_predict_response_positive(): + """ + Tests POST predict function about successful response with sample no 8 of dataset. + 'salary' of this sample is '>50K'. + """ + sample = { + 'age': 31, + 'workclass': 'Private', + 'fnlgt': 45781, + 'education': 'Masters', + 'education_num': 14, + 'marital_status': 'Never-married', + 'occupation': 'Prof-specialty', + 'relationship': 'Not-in-family', + 'race': 'White', + 'sex': 'Female', + 'capital_gain': 14084, + 'capital_loss': 0, + 'hours_per_week': 50, + 'native_country': 'United-States' + } + with TestClient(app) as client: + response = client.post("/predict/", json=sample) + assert response.status_code == HTTPStatus.OK + assert response.request.method == "POST" + assert response.content == b'income prediction label: 1, salary class: >50k' + # using CLI pytest command with python 3.10.9 the following line throws + # json.decoder.JSONDecodeError: Expecting value: line 1 column 1 (char 0) + # but results in a successful sanitycheck, this Udacity script + # checks response.json only, but not a FastAPI Response instance + # assert response.json()['salary class'] == '>50k' + + +def test_wrong_feature_type_str_predict(): + """ + Tests POST predict function about failure due to wrong feature types. + Regarding the associated example, it starts with education_num feature + followed by hours_per_week both delivered as string. + + How is the ability of the model to get an inference value for wrong str dict items? + For Pydantic V1 and V2 validation result is still the same. + It is expected that this few changes can be handled, because FastAPI + and json are working with strings. So, a proper transformation with + HTTPStatus.OK (no. 200) shall be the test result. + """ + sample = { + 'age': 39, + 'workclass': 'State-gov', + 'fnlgt': 77516, + 'education': 'Bachelors', + 'education_num': '13', + 'marital_status': 'Never-married', + 'occupation': 'Adm-clerical', + 'relationship': 'Not-in-family', + 'race': 'White', + 'sex': 'Male', + 'capital_gain': 2174, + 'capital_loss': 0, + 'hours_per_week': '40', + 'native_country': 'United-States' + } + with TestClient(app) as client: + response = client.post("/predict/", json=sample) + assert response.status_code == HTTPStatus.OK + assert response.request.method == "POST" + assert response.content == b'income prediction label: 1, salary class: >50k' or \ + response.content == b'income prediction label: 0, salary class: <=50k' + + +def test_wrong_feature_type_int_predict(): + """ + Tests POST predict function about failure due to wrong feature types. + Regarding the associated example, it starts with 'workclass' feature + followed by 'relationship' both delivered as int instead of being 'string_type'. + + How is the ability of the model to get an inference value for wrong int dict items? + For Pydantic V1 used by fastapi: + It is expected that this few changes can be handled, because FastAPI + and json transform the unknown categories to zero or None. So, a proper + transformation with HTTPStatus.OK (no. 200) shall be the test result. + For Pydantic V2 used by fastapi type handling is different compared to V1: + The test result of the response status code is HTTPStatus.UNPROCESSABLE_ENTITY + (no. 422). + """ + sample = { + 'age': 39, + 'workclass': 3, + 'fnlgt': 77516, + 'education': 'Bachelors', + 'education_num': 13, + 'marital_status': 'Never-married', + 'occupation': 'Adm-clerical', + 'relationship': 12, + 'race': 'White', + 'sex': 'Male', + 'capital_gain': 2174, + 'capital_loss': 0, + 'hours_per_week': 40, + 'native_country': 'United-States' + } + with TestClient(app) as client: + response = client.post("/predict/", json=sample) + # passed pydantic V1 coding, not V2: + # assert response.status_code == HTTPStatus.OK + # assert response.request.method == "POST" + # assert response.content == b'income prediction label: 1, salary class: >50k' or \ + # response.content == b'income prediction label: 0, salary class: <=50k' + # Pydantic V2 coding: + assert response.status_code == HTTPStatus.UNPROCESSABLE_ENTITY + assert response.request.method == "POST" + + # prints out the details about wrong types of Person json body items + #print(response.json()["detail"][0]) # for ['body', 'relationship'] + #print(response.json()["detail"][1]) # for ['body', 'workclass'] + assert response.json()["detail"][0]["type"] == "string_type" + assert response.json()["detail"][1]["type"] == "string_type" + assert response.json()["detail"][0]["input"] == 12 + assert response.json()["detail"][1]["input"] == 3 + +if __name__ == "__main__": + # as cli command to create the api test report: + # pytest ./tests/test_api.py --html=./tests/api_test_report.html --capture=tee-sys + pytest.main(["--html=api_test_report.html", "-v"]) diff --git a/tests/test_data.py b/tests/test_data.py new file mode 100644 index 0000000000..d7b085de04 --- /dev/null +++ b/tests/test_data.py @@ -0,0 +1,111 @@ +#!/usr/bin/env -S python3 -i + +""" +Testsuite for data checks. +author: I. Brinkmeier +date: 2023-09 +""" + +################### +# Imports +################### +import pandas as pd +import pytest + +from typing import Callable +from sklearn.pipeline import Pipeline +from sklearn.impute import SimpleImputer +from sklearn.preprocessing import StandardScaler +from sklearn.compose import ColumnTransformer + +from src.config import get_config +from src.training.ml.data import process_data + +################### +# Coding +################### + +# +# arrange setup +# +# load in the configuration file +config_file = get_config() + + +# +# Deterministic Tests +# + +def test_not_empty(raw_test_data: Callable) -> None: + """ Checks that original test dataset (dataframe instance) is not empty. """ + assert isinstance(raw_test_data, pd.DataFrame) + assert len(raw_test_data) > 0, 'Dataframe is empty' + assert raw_test_data.shape[0] > 0, 'Dataframe has no rows' + assert raw_test_data.shape[1] > 0, 'Dataframe has no columns' + + +def test_duplicated_rows(cleaned_test_data: Callable) -> None: + """ Checks if duplicate rows exists in test dataset after preprocessing. """ + assert cleaned_test_data.duplicated().sum() == 0, 'Dataframe includes duplicates' + + +def test_columns_exist(cleaned_test_data: Callable) -> None: + """ Checks if the expected column labels are available after preprocessing + as part of the expected cleaning process. + """ + preproc_columns = ['age', 'workclass', 'education_num', 'marital_status', + 'occupation', 'relationship', 'race', 'sex', 'capital_gain', + 'capital_loss', 'hours_per_week', 'salary', 'mod_native_country'] + + assert cleaned_test_data.columns.to_list() == preproc_columns, \ + 'For column labels its feature preproc not as expected' + + +def test_data_types(cleaned_test_data) -> None: + """ Checks if the expected column datatypes are available after preprocessing + as part of the expected cleaning process. + """ + data_types = { + 'age': 'int64', + 'workclass': 'object', + 'education_num': 'int64', + 'marital_status': 'object', + 'occupation': 'object', + 'relationship': 'object', + 'race': 'object', + 'sex': 'int64', + 'capital_gain': 'int64', + 'capital_loss': 'int64', + 'hours_per_week': 'int64', + 'mod_native_country': 'object', + 'salary': 'int64', + } + + assert cleaned_test_data.dtypes.map(str).to_dict() == data_types, \ + 'Data types are not as expected for 13 preproc columns' + + +def test_process_data_with_scaling(raw_test_data: Callable) -> None: + """ Checks return of ColumnTransformer instance and + X and y as pipeline output with scaling=True parameter. + """ + processor, X, y = process_data(raw_test_data, + label='salary', + scaling=True, + config_file=config_file) + assert isinstance(processor, ColumnTransformer), 'Process data does not return ColumnTransformer' + assert len(processor.transformers) == 3, 'Different transformer steps than 3' + assert len(X) > 0, 'X dataframe is empty' + assert len(y) > 0, 'y target column is empty' + + # 'num_transf' includes difference regarding scaling + assert isinstance(processor.transformers[0][1], Pipeline), 'First step, numerical: Pipeline not given' + assert len(processor.transformers[0][1]) == 2, 'Numerical pipeline includes different step number than 2' + assert isinstance(processor.transformers[0][1][0], SimpleImputer), 'numerical pipe: StandardScaler missing' + assert isinstance(processor.transformers[0][1][1], StandardScaler), 'with scaling: StandardScaler missing' + + +if __name__ == "__main__": + # as cli command to create the data test report: + # pytest ./tests/test_data.py --html=./tests/data_test_report.html --capture=tee-sys + pytest.main(["--html=data_test_report.html", "-v"]) diff --git a/tests/test_model.py b/tests/test_model.py new file mode 100644 index 0000000000..639fdbae7b --- /dev/null +++ b/tests/test_model.py @@ -0,0 +1,78 @@ +#!/usr/bin/env -S python3 -i + +""" +Testsuite for model checks. +author: I. Brinkmeier +date: 2023-09 +""" + +################### +# Imports +################### +import pytest +from xgboost import XGBClassifier +from sklearn.model_selection import train_test_split +from sklearn.impute import SimpleImputer + +from src.config import get_config +from src.training.ml.data import process_data +from src.training.ml.model import train_model, inference, compute_model_metrics + +################### +# Coding +################### + +# +# arrange setup +# +# load in the configuration file +config_file = get_config() + + +# +# model tests +# + +def test_model_evaluation(raw_test_data) -> None: + """ Checks model type single xgb classifier evaluation metrics """ + assert len(raw_test_data) > 0, 'Empty dataframe for evaluation tests' + + processor, X, y = process_data(raw_test_data, label='salary', scaling=True, config_file=config_file) + X_processed = processor.fit_transform(X) + y_processed = SimpleImputer(strategy="most_frequent").fit_transform( + y.values.reshape(-1, 1) + ) + X_train, X_test, y_train, y_test = train_test_split( + X_processed, y_processed, + stratify=y_processed, + test_size=config_file['model']['test_size'], + random_state=config_file['model']['random_seed'] + ) + xgb_test = train_model( + XGBClassifier( + objective=config_file['model']['xgb_cls']['objective'], + n_estimators=config_file['model']['xgb_cls']['n_estimators'], + eval_metric=config_file['model']['xgb_cls']['eval_metric'], + random_state=config_file['model']['random_seed'], + early_stopping_rounds=config_file['model']['early_stopping_rounds'], + ), + X_train, y_train, X_test, y_test, + param_grid=None, config=config_file, test_run=True) + + assert isinstance(xgb_test, XGBClassifier), 'No XGBClassifier for evaluation tests' + + # check test predictions of single XGBClassifier instance + y_preds = inference(xgb_test, X_test) + precision, recall, fbeta, cm, cls_report = compute_model_metrics(y_test, y_preds) + + # using only a limited subset of data, metrics are not really good + assert precision > 0.62, 'Test precision expected be above 0.62' + assert recall > 0.47, 'Test recall expected be above 0.47' + assert fbeta > 0.54, 'Test fbeta expected be above 0.54' + assert cls_report['accuracy'] > 0.8, 'Test accuracy of classification report expected to be above 0.8' + + +if __name__ == "__main__": + # as cli command to create the model test report: + # pytest ./tests/test_model.py --html=./tests/model_test_report.html --capture=tee-sys + pytest.main(["--html=model_test_report.html", "-v"]) diff --git a/tests/unittests_report.html b/tests/unittests_report.html new file mode 100644 index 0000000000..ce35f60bd8 --- /dev/null +++ b/tests/unittests_report.html @@ -0,0 +1,770 @@ + + + + + unittests_report.html + + + +

unittests_report.html

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Report generated on 02-Oct-2023 at 15:55:27 by pytest-html + v4.0.0

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Environment

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Summary

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15 tests took 00:00:04.

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+ + 0 Failed, + + 15 Passed, + + 0 Skipped, + + 0 Unexpected failures, + + 0 Unexpected passes, + + 0 Errors, + + 0 Reruns +
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ResultTestDurationLinks
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