Updating field names to match score M definitions (#1190)

When implementing definition M for the score, the variable names were not yet updated. For example:

This legacy field naming: 
```
UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD = (
    f"Greater than or equal to the {PERCENTILE}th percentile for unemployment"
    " and has low HS education"
)
``` 

Should actually be renamed something like this:
```
UNEMPLOYMENT_LOW_HS_LOW_HIGHER_ED_FIELD = (
    f"Greater than or equal to the {PERCENTILE}th percentile for unemployment"
    " and has low HS education and low higher ed attendance"
)
``` 

This PR is for the backend updates for this -- keeping the old fields, and adding new, Score M specific fields as listed below: 
- [x] `field_names`: add new fields to capture low_higher_ed
- [x] `score_m`: replace old fields with new fields 
- [x] `DOWNLOADABLE_SCORE_COLUMNS`: replace old fields with new fields
- [x] `TILES_SCORE_COLUMNS`: replace old fields with new fields

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

@@ -138,28 +138,28 @@ TILES_SCORE_COLUMNS = {
     field_names.M_HEALTH: "M_HLTH",
     field_names.SCORE_M_COMMUNITIES: "SM_C",
     field_names.SCORE_M + field_names.PERCENTILE_FIELD_SUFFIX: "SM_PFS",
-    field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_FIELD: "EPLRLI",
+    field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "EPLRLI",
-    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_FIELD: "EALRLI",
+    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "EALRLI",
-    field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_FIELD: "EBLRLI",
+    field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "EBLRLI",
-    field_names.PM25_EXPOSURE_LOW_INCOME_FIELD: "PM25LI",
+    field_names.PM25_EXPOSURE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "PM25LI",
-    field_names.ENERGY_BURDEN_LOW_INCOME_FIELD: "EBLI",
+    field_names.ENERGY_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD: "EBLI",
-    field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_FIELD: "DPMLI",
+    field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_LOW_HIGHER_ED_FIELD: "DPMLI",
-    field_names.TRAFFIC_PROXIMITY_LOW_INCOME_FIELD: "TPLI",
+    field_names.TRAFFIC_PROXIMITY_LOW_INCOME_LOW_HIGHER_ED_FIELD: "TPLI",
-    field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD: "LPMHVLI",
+    field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "LPMHVLI",
-    field_names.HOUSING_BURDEN_LOW_INCOME_FIELD: "HBLI",
+    field_names.HOUSING_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD: "HBLI",
-    field_names.RMP_LOW_INCOME_FIELD: "RMPLI",
+    field_names.RMP_LOW_INCOME_LOW_HIGHER_ED_FIELD: "RMPLI",
-    field_names.SUPERFUND_LOW_INCOME_FIELD: "SFLI",
+    field_names.SUPERFUND_LOW_INCOME_LOW_HIGHER_ED_FIELD: "SFLI",
-    field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD: "HWLI",
+    field_names.HAZARDOUS_WASTE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "HWLI",
-    field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD: "WDLI",
+    field_names.WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "WDLI",
-    field_names.DIABETES_LOW_INCOME_FIELD: "DLI",
+    field_names.DIABETES_LOW_INCOME_LOW_HIGHER_ED_FIELD: "DLI",
-    field_names.ASTHMA_LOW_INCOME_FIELD: "ALI",
+    field_names.ASTHMA_LOW_INCOME_LOW_HIGHER_ED_FIELD: "ALI",
-    field_names.HEART_DISEASE_LOW_INCOME_FIELD: "HDLI",
+    field_names.HEART_DISEASE_LOW_INCOME_LOW_HIGHER_ED_FIELD: "HDLI",
-    field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_FIELD: "LLELI",
+    field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_LOW_HIGHER_ED_FIELD: "LLELI",
-    field_names.LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD: "LILHSE",
+    field_names.LINGUISTIC_ISOLATION_LOW_HS_LOW_HIGHER_ED_FIELD: "LILHSE",
-    field_names.POVERTY_LOW_HS_EDUCATION_FIELD: "PLHSE",
+    field_names.POVERTY_LOW_HS_LOW_HIGHER_ED_FIELD: "PLHSE",
-    field_names.LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD: "LMILHSE",
+    field_names.LOW_MEDIAN_INCOME_LOW_HS_LOW_HIGHER_ED_FIELD: "LMILHSE",
-    field_names.UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD: "ULHSE",
+    field_names.UNEMPLOYMENT_LOW_HS_LOW_HIGHER_ED_FIELD: "ULHSE",
-    field_names.LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD: "LHE",
+    field_names.LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD: "LHE",
     field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES: "FPL200S",
     field_names.THRESHOLD_COUNT: "TC",
     field_names.ISLAND_AREAS_UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD: "IAULHSE",
@@ -199,7 +199,7 @@ TILES_SCORE_FLOAT_COLUMNS = [
     field_names.TSDF_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.TRAFFIC_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.UNEMPLOYMENT_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
-    field_names.LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD,
+    field_names.LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD,
     field_names.ISLAND_AREAS_LOW_HS_EDUCATION_FIELD,
     field_names.WASTEWATER_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.SCORE_M + field_names.PERCENTILE_FIELD_SUFFIX,
@@ -214,73 +214,73 @@ DOWNLOADABLE_SCORE_COLUMNS = [
     field_names.SCORE_M_COMMUNITIES,
     field_names.TOTAL_POP_FIELD,
     field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES,
-    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_FIELD,
+    field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.EXPECTED_AGRICULTURE_LOSS_RATE_FIELD
     + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.EXPECTED_AGRICULTURE_LOSS_RATE_FIELD,
-    field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_FIELD,
+    field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.EXPECTED_BUILDING_LOSS_RATE_FIELD
     + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.EXPECTED_BUILDING_LOSS_RATE_FIELD,
-    field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_FIELD,
+    field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.EXPECTED_POPULATION_LOSS_RATE_FIELD
     + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.EXPECTED_POPULATION_LOSS_RATE_FIELD,
-    field_names.ENERGY_BURDEN_LOW_INCOME_FIELD,
+    field_names.ENERGY_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.ENERGY_BURDEN_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.ENERGY_BURDEN_FIELD,
-    field_names.PM25_EXPOSURE_LOW_INCOME_FIELD,
+    field_names.PM25_EXPOSURE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.PM25_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.PM25_FIELD,
-    field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_FIELD,
+    field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.DIESEL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.DIESEL_FIELD,
-    field_names.TRAFFIC_PROXIMITY_LOW_INCOME_FIELD,
+    field_names.TRAFFIC_PROXIMITY_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.TRAFFIC_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.TRAFFIC_FIELD,
-    field_names.HOUSING_BURDEN_LOW_INCOME_FIELD,
+    field_names.HOUSING_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.HOUSING_BURDEN_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.HOUSING_BURDEN_FIELD,
-    field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD,
+    field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.LEAD_PAINT_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.LEAD_PAINT_FIELD,
     field_names.MEDIAN_HOUSE_VALUE_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.MEDIAN_HOUSE_VALUE_FIELD,
-    field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD,
+    field_names.HAZARDOUS_WASTE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.TSDF_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.TSDF_FIELD,
-    field_names.SUPERFUND_LOW_INCOME_FIELD,
+    field_names.SUPERFUND_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.NPL_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.NPL_FIELD,
-    field_names.RMP_LOW_INCOME_FIELD,
+    field_names.RMP_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.RMP_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.RMP_FIELD,
-    field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD,
+    field_names.WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.WASTEWATER_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.WASTEWATER_FIELD,
-    field_names.ASTHMA_LOW_INCOME_FIELD,
+    field_names.ASTHMA_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.ASTHMA_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.ASTHMA_FIELD,
-    field_names.DIABETES_LOW_INCOME_FIELD,
+    field_names.DIABETES_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.DIABETES_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.DIABETES_FIELD,
-    field_names.HEART_DISEASE_LOW_INCOME_FIELD,
+    field_names.HEART_DISEASE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.HEART_DISEASE_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.HEART_DISEASE_FIELD,
-    field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_FIELD,
+    field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_LOW_HIGHER_ED_FIELD,
     field_names.LOW_LIFE_EXPECTANCY_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.LIFE_EXPECTANCY_FIELD,
-    field_names.LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD,
+    field_names.LOW_MEDIAN_INCOME_LOW_HS_LOW_HIGHER_ED_FIELD,
     field_names.LOW_MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD
     + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.MEDIAN_INCOME_AS_PERCENT_OF_AMI_FIELD,
-    field_names.LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD,
+    field_names.LINGUISTIC_ISOLATION_LOW_HS_LOW_HIGHER_ED_FIELD,
     field_names.LINGUISTIC_ISO_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.LINGUISTIC_ISO_FIELD,
-    field_names.UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD,
+    field_names.UNEMPLOYMENT_LOW_HS_LOW_HIGHER_ED_FIELD,
     field_names.UNEMPLOYMENT_FIELD + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.UNEMPLOYMENT_FIELD,
-    field_names.POVERTY_LOW_HS_EDUCATION_FIELD,
+    field_names.POVERTY_LOW_HS_LOW_HIGHER_ED_FIELD,
     field_names.POVERTY_LESS_THAN_200_FPL_FIELD
     + field_names.PERCENTILE_FIELD_SUFFIX,
     field_names.POVERTY_LESS_THAN_100_FPL_FIELD

data/data-pipeline/data_pipeline/score/field_names.py

@@ -313,8 +313,7 @@ TRANSPORTATION_COSTS = "Transportation Costs"
 
 #####
 # Names for individual factors being exceeded
-# TODO: for Definition M, create new output field names (different than those used by
+
-#  Definition L) and change all output fields to say low income and low college
 # Climate Change
 EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile"
@@ -369,50 +368,156 @@ LOW_LIFE_EXPECTANCY_LOW_INCOME_FIELD = (
     f"for low life expectancy and is low income?"
 )
 
+# Score M Low Income Change
+SCORE_M_LOW_INCOME_SUFFIX = (
+    ", is low income, and has a low percent of higher ed students"
+)
+
+# Climate Change
+EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile"
+    f" for expected population loss rate{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile"
+    f" for expected agriculture loss rate{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile"
+    f" for expected building loss rate{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
+# Clean Energy and Efficiency
+PM25_EXPOSURE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile "
+    f"for PM2.5 exposure{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+ENERGY_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile "
+    f"for energy burden{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
+# Clean Transportation
+DIESEL_PARTICULATE_MATTER_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for "
+    f"diesel particulate matter{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+TRAFFIC_PROXIMITY_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for "
+    f"traffic proximity{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
+# Affordable and Sustainable Housing
+LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for lead paint,"
+    f" the median house value is less than {MEDIAN_HOUSE_VALUE_PERCENTILE}th "
+    f"percentile{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+HOUSING_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile "
+    f"for housing burden{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
+# Remediation and Reduction of Legacy Pollution
+RMP_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for "
+    f"proximity to RMP sites{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+SUPERFUND_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for proximity to "
+    f"superfund sites{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+HAZARDOUS_WASTE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile"
+    f" for proximity to hazardous waste facilities{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
+# Critical Clean Water and Waste Infrastructure
+WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for"
+    f" wastewater discharge{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
+# Health Burdens
+DIABETES_LOW_INCOME_LOW_HIGHER_ED_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for diabetes{SCORE_M_LOW_INCOME_SUFFIX}?"
+ASTHMA_LOW_INCOME_LOW_HIGHER_ED_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for asthma{SCORE_M_LOW_INCOME_SUFFIX}?"
+HEART_DISEASE_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile "
+    f"for heart disease{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
+LOW_LIFE_EXPECTANCY_LOW_INCOME_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile "
+    f"for low life expectancy{SCORE_M_LOW_INCOME_SUFFIX}?"
+)
+
 # Workforce
-# TODO: for Definition M, create new output field names (different than those used by
-#  Definition L) and change all output fields to say low HS and low college
 UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for unemployment"
-    " and has low HS education"
+    " and has low HS education?"
 )
 
 LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for households in linguistic isolation"
-    " and has low HS education"
+    " and has low HS education?"
 )
 
 POVERTY_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for households at or below 100% federal poverty level"
-    " and has low HS education"
+    " and has low HS education?"
 )
 
 LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for low median household income as a "
-    f"percent of area median income and has low HS education"
+    f"percent of area median income and has low HS education?"
+)
+
+# Score M Workforce Variables
+SCORE_M_LOW_EDUCATION_SUFFIX = (
+    ", has low HS attainment, and has a low percent of higher ed students"
+)
+
+UNEMPLOYMENT_LOW_HS_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for unemployment"
+    f"{SCORE_M_LOW_EDUCATION_SUFFIX}?"
+)
+
+LINGUISTIC_ISOLATION_LOW_HS_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for households in linguistic isolation"
+    f"{SCORE_M_LOW_EDUCATION_SUFFIX}?"
+)
+
+POVERTY_LOW_HS_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for households at or below 100% federal poverty level"
+    f"{SCORE_M_LOW_EDUCATION_SUFFIX}?"
+)
+
+LOW_MEDIAN_INCOME_LOW_HS_LOW_HIGHER_ED_FIELD = (
+    f"Greater than or equal to the {PERCENTILE}th percentile for low median household income as a "
+    f"percent of area median income{SCORE_M_LOW_EDUCATION_SUFFIX}?"
 )
 
 LOW_HS_EDUCATION_FIELD = "Low high school education"
-LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD = (
+LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD = (
-    "Low high school education and low college attendance"
+    "Low high school education and low percent of higher ed students"
 )
 
 # Workforce for island areas
 ISLAND_AREAS_SUFFIX = " in 2009 (island areas)"
 ISLAND_AREAS_UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for unemployment"
-    f" and has low HS education{ISLAND_AREAS_SUFFIX}"
+    f" and has low HS education{ISLAND_AREAS_SUFFIX}?"
 )
 
 ISLAND_AREAS_POVERTY_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for households at or below 100% federal poverty level"
-    f" and has low HS education{ISLAND_AREAS_SUFFIX}"
+    f" and has low HS education{ISLAND_AREAS_SUFFIX}?"
 )
 
 ISLAND_AREAS_LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for low median household income as a "
     f"percent of area median income"
-    f" and has low HS education{ISLAND_AREAS_SUFFIX}"
+    f" and has low HS education{ISLAND_AREAS_SUFFIX}?"
 )
 
 ISLAND_AREAS_LOW_HS_EDUCATION_FIELD = (
@@ -425,9 +530,10 @@ EXTREME_HEAT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD = (
     f"the median house value is less than {MEDIAN_HOUSE_VALUE_PERCENTILE}th "
     f"percentile and is low income?"
 )
+
 IMPENETRABLE_SURFACES_LOW_INCOME_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for impenetrable surfaces and is low "
-    f"income"
+    f"income?"
 )
 AIR_TOXICS_CANCER_RISK_LOW_INCOME_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for air toxics cancer risk and is low income?"
 RESPIRATORY_HAZARD_LOW_INCOME_FIELD = f"Greater than or equal to the {PERCENTILE}th percentile for respiratory hazard index and is low income?"
@@ -435,16 +541,17 @@ HEALTHY_FOOD_LOW_INCOME_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for low "
     f"access to healthy food and is low income?"
 )
+
 LOW_READING_LOW_HS_EDUCATION_FIELD = (
     f"Greater than or equal to the {PERCENTILE}th percentile for low 3rd grade reading proficiency"
-    " and has low HS education"
+    " and has low HS education?"
 )
 
 THRESHOLD_COUNT = "Total threshold criteria exceeded"
 
 FPL_200_SERIES = "Is low income?"
 FPL_200_AND_COLLEGE_ATTENDANCE_SERIES = (
-    "Is low income and low college attendance?"
+    "Is low income and has a low percent of higher ed students?"
 )
 # End of names for individual factors being exceeded
 ####

data/data-pipeline/data_pipeline/score/score_m.py

@@ -143,13 +143,13 @@ class ScoreM(Score):
         # AND
         # Low income: In Nth percentile or above for percent of block group population
         # of households where household income is less than or equal to twice the federal
-        # poverty level. Source: Census's American Community Survey]
+        # poverty level and there is low higher ed attendance
+        # Source: Census's American Community Survey
 
         climate_eligibility_columns = [
-            field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_FIELD,
+            field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_FIELD,
+            field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_FIELD,
+            field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            # field_names.EXTREME_HEAT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD,
         ]
 
         expected_population_loss_threshold = (
@@ -176,39 +176,24 @@ class ScoreM(Score):
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )
 
-        extreme_heat_and_median_house_value_threshold = (
         self.df[
-                field_names.EXTREME_HEAT_FIELD
+            field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD
-                + field_names.PERCENTILE_FIELD_SUFFIX
+        ] = (
-            ]
-            >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
-        ) & (
-            self.df[
-                field_names.MEDIAN_HOUSE_VALUE_FIELD
-                + field_names.PERCENTILE_FIELD_SUFFIX
-            ]
-            <= self.MEDIAN_HOUSE_VALUE_THRESHOLD
-        )
-
-        self.df[field_names.EXPECTED_POPULATION_LOSS_RATE_LOW_INCOME_FIELD] = (
             expected_population_loss_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
 
-        self.df[field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_FIELD] = (
+        self.df[
+            field_names.EXPECTED_AGRICULTURE_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD
+        ] = (
             expected_agriculture_loss_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
 
-        self.df[field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_FIELD] = (
-            expected_building_loss_threshold
-            & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
-        )
-
         self.df[
-            field_names.EXTREME_HEAT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD
+            field_names.EXPECTED_BUILDING_LOSS_RATE_LOW_INCOME_LOW_HIGHER_ED_FIELD
         ] = (
-            extreme_heat_and_median_house_value_threshold
+            expected_building_loss_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
 
@@ -221,11 +206,12 @@ class ScoreM(Score):
         # AND
         # Low income: In Nth percentile or above for percent of block group population
         # of households where household income is less than or equal to twice the federal
-        # poverty level. Source: Census's American Community Survey]
+        # poverty level and has low higher ed attendance.
+        # Source: Census's American Community Survey
 
         energy_eligibility_columns = [
-            field_names.PM25_EXPOSURE_LOW_INCOME_FIELD,
+            field_names.PM25_EXPOSURE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.ENERGY_BURDEN_LOW_INCOME_FIELD,
+            field_names.ENERGY_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD,
         ]
 
         energy_burden_threshold = (
@@ -243,12 +229,12 @@ class ScoreM(Score):
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )
 
-        self.df[field_names.PM25_EXPOSURE_LOW_INCOME_FIELD] = (
+        self.df[field_names.PM25_EXPOSURE_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             pm25_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
 
-        self.df[field_names.ENERGY_BURDEN_LOW_INCOME_FIELD] = (
+        self.df[field_names.ENERGY_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             energy_burden_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
@@ -266,11 +252,12 @@ class ScoreM(Score):
         # AND
         # Low income: In Nth percentile or above for percent of block group population
         # of households where household income is less than or equal to twice the federal
-        # poverty level. Source: Census's American Community Survey]
+        # poverty level and has a low percent of higher ed students.
+        # Source: Census's American Community Survey
 
         transportion_eligibility_columns = [
-            field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_FIELD,
+            field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.TRAFFIC_PROXIMITY_LOW_INCOME_FIELD,
+            field_names.TRAFFIC_PROXIMITY_LOW_INCOME_LOW_HIGHER_ED_FIELD,
         ]
 
         diesel_threshold = (
@@ -287,12 +274,16 @@ class ScoreM(Score):
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )
 
-        self.df[field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_FIELD] = (
+        self.df[
+            field_names.DIESEL_PARTICULATE_MATTER_LOW_INCOME_LOW_HIGHER_ED_FIELD
+        ] = (
             diesel_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
 
-        self.df[field_names.TRAFFIC_PROXIMITY_LOW_INCOME_FIELD] = (
+        self.df[
+            field_names.TRAFFIC_PROXIMITY_LOW_INCOME_LOW_HIGHER_ED_FIELD
+        ] = (
             traffic_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
@@ -315,11 +306,12 @@ class ScoreM(Score):
         # AND
         # Low income: In Nth percentile or above for percent of block group population
         # of households where household income is less than or equal to twice the federal
-        # poverty level. Source: Census's American Community Survey]
+        # poverty level and has a low percent of higher ed students.
+        # Source: Census's American Community Survey
 
         housing_eligibility_columns = [
-            field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD,
+            field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.HOUSING_BURDEN_LOW_INCOME_FIELD,
+            field_names.HOUSING_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD,
         ]
 
         lead_paint_median_home_value_threshold = (
@@ -345,12 +337,14 @@ class ScoreM(Score):
         )
 
         # series by series indicators
-        self.df[field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_FIELD] = (
+        self.df[
+            field_names.LEAD_PAINT_MEDIAN_HOUSE_VALUE_LOW_INCOME_LOW_HIGHER_ED_FIELD
+        ] = (
             lead_paint_median_home_value_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
 
-        self.df[field_names.HOUSING_BURDEN_LOW_INCOME_FIELD] = (
+        self.df[field_names.HOUSING_BURDEN_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             housing_burden_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
@@ -364,12 +358,13 @@ class ScoreM(Score):
         # AND
         # Low income: In Nth percentile or above for percent of block group population
         # of households where household income is less than or equal to twice the federal
-        # poverty level. Source: Census's American Community Survey]
+        # poverty level and has a low percent of higher ed students.
+        # Source: Census's American Community Survey
 
         pollution_eligibility_columns = [
-            field_names.RMP_LOW_INCOME_FIELD,
+            field_names.RMP_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.SUPERFUND_LOW_INCOME_FIELD,
+            field_names.SUPERFUND_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD,
+            field_names.HAZARDOUS_WASTE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
         ]
 
         rmp_sites_threshold = (
@@ -390,15 +385,15 @@ class ScoreM(Score):
         )
 
         # individual series-by-series
-        self.df[field_names.RMP_LOW_INCOME_FIELD] = (
+        self.df[field_names.RMP_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             rmp_sites_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
-        self.df[field_names.SUPERFUND_LOW_INCOME_FIELD] = (
+        self.df[field_names.SUPERFUND_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             npl_sites_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
-        self.df[field_names.HAZARDOUS_WASTE_LOW_INCOME_FIELD] = (
+        self.df[field_names.HAZARDOUS_WASTE_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             tsdf_sites_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
@@ -414,7 +409,8 @@ class ScoreM(Score):
         # AND
         # Low income: In Nth percentile or above for percent of block group population
         # of households where household income is less than or equal to twice the federal
-        # poverty level. Source: Census's American Community Survey]
+        # poverty level and has a low percent of higher ed students
+        # Source: Census's American Community Survey
 
         wastewater_threshold = (
             self.df[
@@ -424,16 +420,20 @@ class ScoreM(Score):
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )
 
-        self.df[field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD] = (
+        self.df[
+            field_names.WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD
+        ] = (
             wastewater_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
 
         self._increment_total_eligibility_exceeded(
-            [field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD]
+            [field_names.WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD]
         )
 
-        return self.df[field_names.WASTEWATER_DISCHARGE_LOW_INCOME_FIELD]
+        return self.df[
+            field_names.WASTEWATER_DISCHARGE_LOW_INCOME_LOW_HIGHER_ED_FIELD
+        ]
 
     def _health_factor(self) -> bool:
         # In Xth percentile or above for diabetes (Source: CDC Places)
@@ -446,14 +446,14 @@ class ScoreM(Score):
         # AND
         # Low income: In Nth percentile or above for percent of block group population
         # of households where household income is less than or equal to twice the federal
-        # poverty level. Source: Census's American Community Survey]
+        # poverty level and has a low percent of higher ed students
+        # Source: Census's American Community Survey
 
         health_eligibility_columns = [
-            field_names.DIABETES_LOW_INCOME_FIELD,
+            field_names.DIABETES_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.ASTHMA_LOW_INCOME_FIELD,
+            field_names.ASTHMA_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.HEART_DISEASE_LOW_INCOME_FIELD,
+            field_names.HEART_DISEASE_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_FIELD,
+            field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_LOW_HIGHER_ED_FIELD,
-            # field_names.HEALTHY_FOOD_LOW_INCOME_FIELD,
         ]
 
         diabetes_threshold = (
@@ -486,34 +486,24 @@ class ScoreM(Score):
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )
 
-        healthy_food_threshold = (
+        self.df[field_names.DIABETES_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
-            self.df[
-                field_names.HEALTHY_FOOD_FIELD
-                + field_names.PERCENTILE_FIELD_SUFFIX
-            ]
-            >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
-        )
-
-        self.df[field_names.DIABETES_LOW_INCOME_FIELD] = (
             diabetes_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
-        self.df[field_names.ASTHMA_LOW_INCOME_FIELD] = (
+        self.df[field_names.ASTHMA_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             asthma_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
-        self.df[field_names.HEART_DISEASE_LOW_INCOME_FIELD] = (
+        self.df[field_names.HEART_DISEASE_LOW_INCOME_LOW_HIGHER_ED_FIELD] = (
             heart_disease_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
-        self.df[field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_FIELD] = (
+        self.df[
+            field_names.LOW_LIFE_EXPECTANCY_LOW_INCOME_LOW_HIGHER_ED_FIELD
+        ] = (
             low_life_expectancy_threshold
             & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
         )
-        self.df[field_names.HEALTHY_FOOD_LOW_INCOME_FIELD] = (
-            healthy_food_threshold
-            & self.df[field_names.FPL_200_AND_COLLEGE_ATTENDANCE_SERIES]
-        )
 
         self._increment_total_eligibility_exceeded(health_eligibility_columns)
 
@@ -531,17 +521,18 @@ class ScoreM(Score):
         # AND
         # Where the high school degree achievement rates for adults 25 years and older
         # is less than Y%
+        # AND the higher ed attendance rates are under Z%
         # (necessary to screen out university tracts)
 
         # Workforce criteria for states fields.
         workforce_eligibility_columns = [
-            field_names.UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD,
+            field_names.UNEMPLOYMENT_LOW_HS_LOW_HIGHER_ED_FIELD,
-            field_names.POVERTY_LOW_HS_EDUCATION_FIELD,
+            field_names.POVERTY_LOW_HS_LOW_HIGHER_ED_FIELD,
-            field_names.LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD,
+            field_names.LINGUISTIC_ISOLATION_LOW_HS_LOW_HIGHER_ED_FIELD,
-            field_names.LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD,
+            field_names.LOW_MEDIAN_INCOME_LOW_HS_LOW_HIGHER_ED_FIELD,
         ]
 
-        self.df[field_names.LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD] = (
+        self.df[field_names.LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD] = (
             self.df[field_names.HIGH_SCHOOL_ED_FIELD]
             >= self.LACK_OF_HIGH_SCHOOL_MINIMUM_THRESHOLD
         ) & (
@@ -588,24 +579,24 @@ class ScoreM(Score):
             >= self.ENVIRONMENTAL_BURDEN_THRESHOLD
         )
 
-        self.df[field_names.LINGUISTIC_ISOLATION_LOW_HS_EDUCATION_FIELD] = (
+        self.df[field_names.LINGUISTIC_ISOLATION_LOW_HS_LOW_HIGHER_ED_FIELD] = (
             linguistic_isolation_threshold
-            & self.df[field_names.LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD]
+            & self.df[field_names.LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD]
         )
 
-        self.df[field_names.POVERTY_LOW_HS_EDUCATION_FIELD] = (
+        self.df[field_names.POVERTY_LOW_HS_LOW_HIGHER_ED_FIELD] = (
             poverty_threshold
-            & self.df[field_names.LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD]
+            & self.df[field_names.LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD]
         )
 
-        self.df[field_names.LOW_MEDIAN_INCOME_LOW_HS_EDUCATION_FIELD] = (
+        self.df[field_names.LOW_MEDIAN_INCOME_LOW_HS_LOW_HIGHER_ED_FIELD] = (
             low_median_income_threshold
-            & self.df[field_names.LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD]
+            & self.df[field_names.LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD]
         )
 
-        self.df[field_names.UNEMPLOYMENT_LOW_HS_EDUCATION_FIELD] = (
+        self.df[field_names.UNEMPLOYMENT_LOW_HS_LOW_HIGHER_ED_FIELD] = (
             unemployment_threshold
-            & self.df[field_names.LOW_HS_EDUCATION_LOW_COLLEGE_ATTENDANCE_FIELD]
+            & self.df[field_names.LOW_HS_EDUCATION_LOW_HIGHER_ED_FIELD]
         )
 
         workforce_combined_criteria_for_states = self.df[