Multiply demographics b 1e6

Author: nikhilwoodruff

policyengine_uk_data/datasets/local_areas/constituencies/loss.py

@@ -84,9 +84,12 @@ def create_constituency_target_matrix(
             * national_consistency_adjustment_factor
         )
 
-    uk_total_population = national_demographics[
-        national_demographics.name == "uk_population"
-    ][str(time_period)].values[0]
+    uk_total_population = (
+        national_demographics[national_demographics.name == "uk_population"][
+            str(time_period)
+        ].values[0]
+        * 1e6
+    )
 
     age = sim.calculate("age").values
     targets_total_pop = 0

policyengine_uk_data/datasets/local_areas/local_authorities/loss.py

@@ -76,9 +76,12 @@ def create_local_authority_target_matrix(
 
     age = sim.calculate("age").values
     national_demographics = pd.read_csv(STORAGE_FOLDER / "demographics.csv")
-    uk_total_population = national_demographics[
-        national_demographics.name == "uk_population"
-    ][str(time_period)].values[0]
+    uk_total_population = (
+        national_demographics[national_demographics.name == "uk_population"][
+            str(time_period)
+        ].values[0]
+        * 1e6
+    )
 
     age = sim.calculate("age").values
     for lower_age in range(0, 80, 10):