Issue 1827: Add demographics to tiles and download files (#1833)

* Adding demographics for use in sidebar and download files

data/data-pipeline/data_pipeline/etl/score/constants.py

@@ -315,9 +315,20 @@ TILES_SCORE_COLUMNS = {
     field_names.NON_NATURAL_LOW_INCOME_FIELD_NAME: "IS_ET",
     field_names.AML_BOOLEAN: "AML_ET",
     field_names.ELIGIBLE_FUDS_BINARY_FIELD_NAME: "FUDS_ET",
-    field_names.IMPUTED_INCOME_FLAG_FIELD_NAME: "IMP_FLG"
+    field_names.IMPUTED_INCOME_FLAG_FIELD_NAME: "IMP_FLG",
     ## FPL 200 and low higher ed for all others should no longer be M_EBSI, but rather
     ## FPL_200 (there is no higher ed in narwhal)
+    field_names.PERCENT_BLACK_FIELD_NAME: "DM_B",
+    field_names.PERCENT_AMERICAN_INDIAN_FIELD_NAME: "DM_AI",
+    field_names.PERCENT_ASIAN_FIELD_NAME: "DM_A",
+    field_names.PERCENT_HAWAIIAN_FIELD_NAME: "DM_HI",
+    field_names.PERCENT_TWO_OR_MORE_RACES_FIELD_NAME: "DM_T",
+    field_names.PERCENT_NON_HISPANIC_WHITE_FIELD_NAME: "DM_W",
+    field_names.PERCENT_HISPANIC_FIELD_NAME: "DM_H",
+    field_names.PERCENT_OTHER_RACE_FIELD_NAME: "DM_O",
+    field_names.PERCENT_AGE_UNDER_10: "AGE_10",
+    field_names.PERCENT_AGE_10_TO_64: "AGE_MIDDLE",
+    field_names.PERCENT_AGE_OVER_64: "AGE_OLD",
 }
 
 # columns to round floats to 2 decimals
@@ -375,4 +386,16 @@ TILES_SCORE_FLOAT_COLUMNS = [
     field_names.SCORE_N_COMMUNITIES + field_names.ADJACENCY_INDEX_SUFFIX,
     field_names.TRACT_PERCENT_NON_NATURAL_FIELD_NAME
     + field_names.PERCENTILE_FIELD_SUFFIX,
+    # Include demographic data for sidebar -- as percents, NOT as percentiles.
+    field_names.PERCENT_BLACK_FIELD_NAME,
+    field_names.PERCENT_AMERICAN_INDIAN_FIELD_NAME,
+    field_names.PERCENT_ASIAN_FIELD_NAME,
+    field_names.PERCENT_HAWAIIAN_FIELD_NAME,
+    field_names.PERCENT_TWO_OR_MORE_RACES_FIELD_NAME,
+    field_names.PERCENT_NON_HISPANIC_WHITE_FIELD_NAME,
+    field_names.PERCENT_HISPANIC_FIELD_NAME,
+    field_names.PERCENT_OTHER_RACE_FIELD_NAME,
+    field_names.PERCENT_AGE_UNDER_10,
+    field_names.PERCENT_AGE_10_TO_64,
+    field_names.PERCENT_AGE_OVER_64,
 ]

data/data-pipeline/data_pipeline/etl/score/etl_score.py

@@ -461,6 +461,17 @@ class ScoreETL(ExtractTransformLoad):
             field_names.FUTURE_WILDFIRE_RISK_FIELD,
             field_names.TRACT_PERCENT_NON_NATURAL_FIELD_NAME,
             field_names.POVERTY_LESS_THAN_200_FPL_IMPUTED_FIELD,
+            field_names.PERCENT_BLACK_FIELD_NAME,
+            field_names.PERCENT_AMERICAN_INDIAN_FIELD_NAME,
+            field_names.PERCENT_ASIAN_FIELD_NAME,
+            field_names.PERCENT_HAWAIIAN_FIELD_NAME,
+            field_names.PERCENT_TWO_OR_MORE_RACES_FIELD_NAME,
+            field_names.PERCENT_NON_HISPANIC_WHITE_FIELD_NAME,
+            field_names.PERCENT_HISPANIC_FIELD_NAME,
+            field_names.PERCENT_OTHER_RACE_FIELD_NAME,
+            field_names.PERCENT_AGE_UNDER_10,
+            field_names.PERCENT_AGE_10_TO_64,
+            field_names.PERCENT_AGE_OVER_64,
         ]
 
         non_numeric_columns = [