From 44f5aae0cabf2d5203b84fa1fb149c45ef0c725e Mon Sep 17 00:00:00 2001 From: alene Date: Tue, 10 Dec 2024 14:28:54 -0500 Subject: [PATCH] Low-Income Poverty Calculation --- .../etl/sources/census_acs/etl.py | 463 +- ...erty_calculation_analysis_of_changes.ipynb | 5313 +++++++++++++++++ .../tests/sources/census_acs/__init__.py | 0 .../census_acs/data/transform/README.md | 25 + .../transform/acs_transform_geojson.geojson | 11 + .../data/transform/acs_transform_input.pkl | Bin 0 -> 7426 bytes .../tests/sources/census_acs/test_etl.py | 119 + .../sources/census_decennial/__init__.py | 0 8 files changed, 5858 insertions(+), 73 deletions(-) create mode 100644 data/data-pipeline/data_pipeline/ipython/poverty_calculation_analysis_of_changes.ipynb create mode 100644 data/data-pipeline/data_pipeline/tests/sources/census_acs/__init__.py create mode 100644 data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/README.md create mode 100644 data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/acs_transform_geojson.geojson create mode 100644 data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/acs_transform_input.pkl create mode 100644 data/data-pipeline/data_pipeline/tests/sources/census_acs/test_etl.py create mode 100644 data/data-pipeline/data_pipeline/tests/sources/census_decennial/__init__.py diff --git a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py index 5a894a3c..d9f27b89 100644 --- a/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py +++ b/data/data-pipeline/data_pipeline/etl/sources/census_acs/etl.py @@ -56,14 +56,33 @@ class CensusACSETL(ExtractTransformLoad): self.MEDIAN_INCOME_FIELD_NAME = ( "Median household income in the past 12 months" ) + + self.POVERTY_DATASET_TOTAL = "C17002_001E" # Estimate!!Total, + self.POVERTY_UNDER_50PCT = "C17002_002E" # Estimate!!Total!!Under .50 + self.POVERTY_50PCT_TO_99PCT = ( + "C17002_003E" # Estimate!!Total!!.50 to .99 + ) + self.POVERTY_100PCT_TO_124PCT = ( + "C17002_004E" # Estimate!!Total!!1.00 to 1.24 + ) + self.POVERTY_125PCT_TO_149PCT = ( + "C17002_005E" # Estimate!!Total!!1.25 to 1.49 + ) + self.POVERTY_150PCT_TO_184PCT = ( + "C17002_006E" # Estimate!!Total!!1.50 to 1.84 + ) + self.POVERTY_185PCT_TO_199PCT = ( + "C17002_007E" # Estimate!!Total!!1.85 to 1.99 + ) + self.POVERTY_FIELDS = [ - "C17002_001E", # Estimate!!Total, - "C17002_002E", # Estimate!!Total!!Under .50 - "C17002_003E", # Estimate!!Total!!.50 to .99 - "C17002_004E", # Estimate!!Total!!1.00 to 1.24 - "C17002_005E", # Estimate!!Total!!1.25 to 1.49 - "C17002_006E", # Estimate!!Total!!1.50 to 1.84 - "C17002_007E", # Estimate!!Total!!1.85 to 1.99 + self.POVERTY_DATASET_TOTAL, + self.POVERTY_UNDER_50PCT, + self.POVERTY_50PCT_TO_99PCT, + self.POVERTY_100PCT_TO_124PCT, + self.POVERTY_125PCT_TO_149PCT, + self.POVERTY_150PCT_TO_184PCT, + self.POVERTY_185PCT_TO_199PCT, ] self.POVERTY_LESS_THAN_100_PERCENT_FPL_FIELD_NAME = ( @@ -75,19 +94,30 @@ class CensusACSETL(ExtractTransformLoad): self.POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME = ( "Percent of individuals < 200% Federal Poverty Line" ) - self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME = ( - "Percent of individuals < 200% Federal Poverty Line, imputed" + self.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME = ( + "Total population of individuals < 200% Federal Poverty Line" + ) + self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME = ( + "Percent of individuals < 200% Federal Poverty Line," + " imputed" + ) + self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME = ( + "Total population of individuals < 200% Federal Poverty Line," + + " imputed" + ) + self.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME = ( + "Total population of individuals < 100% Federal Poverty Line" + ) + self.IMPUTED_POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME = ( + "Total population of individuals < 100% Federal Poverty Line," + + " imputed" ) - self.ADJUSTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME = ( "Adjusted percent of individuals < 200% Federal Poverty Line" ) - self.ADJUSTED_AND_IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME_PRELIMINARY = ( "Preliminary adjusted percent of individuals < 200% Federal Poverty Line," + " imputed" ) - self.ADJUSTED_AND_IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME = ( "Adjusted percent of individuals < 200% Federal Poverty Line," + " imputed" @@ -148,32 +178,102 @@ class CensusACSETL(ExtractTransformLoad): ) self.HIGH_SCHOOL_ED_FIELD = "Percent individuals age 25 or over with less than high school degree" - # College attendance fields - self.COLLEGE_ATTENDANCE_TOTAL_POPULATION_ASKED = ( - "B14004_001E" # Estimate!!Total - ) - self.COLLEGE_ATTENDANCE_MALE_ENROLLED_PUBLIC = "B14004_003E" # Estimate!!Total!!Male!!Enrolled in public college or graduate school - self.COLLEGE_ATTENDANCE_MALE_ENROLLED_PRIVATE = "B14004_008E" # Estimate!!Total!!Male!!Enrolled in private college or graduate school - self.COLLEGE_ATTENDANCE_FEMALE_ENROLLED_PUBLIC = "B14004_019E" # Estimate!!Total!!Female!!Enrolled in public college or graduate school - self.COLLEGE_ATTENDANCE_FEMALE_ENROLLED_PRIVATE = "B14004_024E" # Estimate!!Total!!Female!!Enrolled in private college or graduate school + ## Off-Campus University Student Poverty Fields + # Estimate!!Total:!!Income in the past 12 months below the poverty level:!! + # Enrolled in school:!!Enrolled in college undergraduate years + self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE = "B14006_009E" + # Estimate!!Total:!!Income in the past 12 months below the poverty level:!! + # Enrolled in school:!!Enrolled in graduate or professional school + self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_GRADUATE = "B14006_010E" + # Estimate!!Total:!!Income in the past 12 months at or above the poverty level:!! + # Enrolled in school:!!Enrolled in college undergraduate years + self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_UNDERGRADUATE = "B14006_019E" + # Estimate!!Total:!!Income in the past 12 months at or above the poverty level:!! + # Enrolled in school:!!Enrolled in graduate or professional school + self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_GRADUATE = "B14006_020E" - self.COLLEGE_ATTENDANCE_FIELDS = [ - self.COLLEGE_ATTENDANCE_TOTAL_POPULATION_ASKED, - self.COLLEGE_ATTENDANCE_MALE_ENROLLED_PUBLIC, - self.COLLEGE_ATTENDANCE_MALE_ENROLLED_PRIVATE, - self.COLLEGE_ATTENDANCE_FEMALE_ENROLLED_PUBLIC, - self.COLLEGE_ATTENDANCE_FEMALE_ENROLLED_PRIVATE, + self.UNIVERSITY_POVERTY_FIELDS = [ + self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE, + self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_GRADUATE, + self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_UNDERGRADUATE, + self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_GRADUATE, ] - self.COLLEGE_ATTENDANCE_FIELD = ( + self.OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD = ( + "Population below poverty line enrolled in an undergraduate program" + + " (excluding students living in university housing)" + ) + self.IMPUTED_OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD = ( + "Population below poverty line enrolled in an undergraduate program" + + " (excluding students living in university housing), imputed" + ) + self.OFFCAMPUS_UNDERGRADUATE_FIELD = ( + "Population enrolled in an undergraduate program" + + " (excluding students living in university housing)" + ) + self.IMPUTED_OFFCAMPUS_UNDERGRADUATE_FIELD = ( + "Population enrolled in an undergraduate program" + + " (excluding students living in university housing), imputed" + ) + self.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD = ( + "Population below poverty line enrolled in an undergraduate, graduate, or professional program" + + " (excluding students living in university housing)" + ) + self.IMPUTED_OFFCAMPUS_UNIVERSITY_POVERTY_FIELD = ( + "Population below poverty line enrolled in an undergraduate, graduate, or professional program" + + " (excluding students living in university housing), imputed" + ) + self.OFFCAMPUS_UNIVERSITY_FIELD = ( + "Population enrolled in an undergraduate, graduate, or professional program" + + " (excluding students living in university housing)" + ) + self.IMPUTED_OFFCAMPUS_UNIVERSITY_FIELD = ( + "Population enrolled in an undergraduate, graduate, or professional program" + + " (excluding students living in university housing), imputed" + ) + self.IMPUTED_POVERTY_DATASET_TOTAL = ( + "Total population in poverty dataset (all income levels)" + + ", imputed" + ) + self.OVERALL_RATIO_200FPL_TO_100FPL = ( + "Ratio <200% FPL to <100% FPL, overall" + ) + self.OFFCAMPUS_UNIVERSITY_POPULATION_COUNT_UNDER_200PCT_FPL = "Estimated population count of off-campus university students <200% FPL" + self.POPULATION_COUNT_UNDER_200PCT_FPL_MINUS_OFFCAMPUS_UNIVERSITY_ESTIMATE = ( + "Estimated population count of people in a househould with income <200% FPL" + + ", excluding all university students" + ) + self.POPULATION_TOTAL_IN_POVERTY_DATASET_MINUS_OFFCAMPUS_UNVERSITY = ( + "Everyone in poverty dataset" + + ", minus all off-campus university students" + ) + + # University Enrollment Rates (15+ population, includes students in dorms) + self.UNIVERSITY_ATTENDANCE_TOTAL_POPULATION_ASKED = ( + "B14004_001E" # Estimate!!Total + ) + self.UNIVERSITY_ATTENDANCE_MALE_ENROLLED_PUBLIC = "B14004_003E" # Estimate!!Total!!Male!!Enrolled in public college or graduate school + self.UNIVERSITY_ATTENDANCE_MALE_ENROLLED_PRIVATE = "B14004_008E" # Estimate!!Total!!Male!!Enrolled in private college or graduate school + self.UNIVERSITY_ATTENDANCE_FEMALE_ENROLLED_PUBLIC = "B14004_019E" # Estimate!!Total!!Female!!Enrolled in public college or graduate school + self.UNIVERSITY_ATTENDANCE_FEMALE_ENROLLED_PRIVATE = "B14004_024E" # Estimate!!Total!!Female!!Enrolled in private college or graduate school + + self.UNIVERSITY_ATTENDANCE_FIELDS = [ + self.UNIVERSITY_ATTENDANCE_TOTAL_POPULATION_ASKED, + self.UNIVERSITY_ATTENDANCE_MALE_ENROLLED_PUBLIC, + self.UNIVERSITY_ATTENDANCE_MALE_ENROLLED_PRIVATE, + self.UNIVERSITY_ATTENDANCE_FEMALE_ENROLLED_PUBLIC, + self.UNIVERSITY_ATTENDANCE_FEMALE_ENROLLED_PRIVATE, + ] + + self.UNIVERSITY_ATTENDANCE_FIELD = ( "Percent enrollment in college or graduate school" ) - self.IMPUTED_COLLEGE_ATTENDANCE_FIELD = ( + self.IMPUTED_UNIVERSITY_ATTENDANCE_FIELD = ( "Percent enrollment in college or graduate school, imputed" ) - self.COLLEGE_NON_ATTENDANCE_FIELD = "Percent of population not currently enrolled in college or graduate school" + self.UNIVERSITY_NON_ATTENDANCE_FIELD = "Percent of population not currently enrolled in college or graduate school" self.RE_FIELDS = [ "B02001_001E", @@ -295,11 +395,29 @@ class CensusACSETL(ExtractTransformLoad): self.POVERTY_LESS_THAN_100_PERCENT_FPL_FIELD_NAME, self.POVERTY_LESS_THAN_150_PERCENT_FPL_FIELD_NAME, self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME, + self.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME, + self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME, self.MEDIAN_HOUSE_VALUE_FIELD_NAME, self.HIGH_SCHOOL_ED_FIELD, - self.COLLEGE_ATTENDANCE_FIELD, - self.COLLEGE_NON_ATTENDANCE_FIELD, - self.IMPUTED_COLLEGE_ATTENDANCE_FIELD, + self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE, + self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_GRADUATE, + self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_UNDERGRADUATE, + self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_GRADUATE, + self.OVERALL_RATIO_200FPL_TO_100FPL, + self.OFFCAMPUS_UNIVERSITY_POPULATION_COUNT_UNDER_200PCT_FPL, + self.POPULATION_COUNT_UNDER_200PCT_FPL_MINUS_OFFCAMPUS_UNIVERSITY_ESTIMATE, + self.POPULATION_TOTAL_IN_POVERTY_DATASET_MINUS_OFFCAMPUS_UNVERSITY, + self.UNIVERSITY_ATTENDANCE_FIELD, + self.UNIVERSITY_NON_ATTENDANCE_FIELD, + self.IMPUTED_UNIVERSITY_ATTENDANCE_FIELD, + self.OFFCAMPUS_UNIVERSITY_FIELD, + self.IMPUTED_OFFCAMPUS_UNIVERSITY_FIELD, + self.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME, + self.IMPUTED_POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME, + self.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD, + self.IMPUTED_OFFCAMPUS_UNIVERSITY_POVERTY_FIELD, + self.POVERTY_DATASET_TOTAL, + self.IMPUTED_POVERTY_DATASET_TOTAL, field_names.IMPUTED_INCOME_FLAG_FIELD_NAME, ] + self.RE_OUTPUT_FIELDS @@ -315,6 +433,7 @@ class CensusACSETL(ExtractTransformLoad): ) self.df: pd.DataFrame + self.geo_df: gpd.GeoDataFrame def get_data_sources(self) -> [DataSource]: # Define the variables to retrieve @@ -328,7 +447,8 @@ class CensusACSETL(ExtractTransformLoad): + self.POVERTY_FIELDS + self.EDUCATIONAL_FIELDS + self.RE_FIELDS - + self.COLLEGE_ATTENDANCE_FIELDS + + self.UNIVERSITY_POVERTY_FIELDS + + self.UNIVERSITY_ATTENDANCE_FIELDS + self.AGE_INPUT_FIELDS ) @@ -383,11 +503,7 @@ class CensusACSETL(ExtractTransformLoad): dtype={field_names.GEOID_TRACT_FIELD: "string"}, ) - def transform(self) -> None: - df = self.df - - # Here we join the geometry of the US to the dataframe so that we can impute - # The income of neighbors. first this looks locally; if there's no local + # Load the census GeoJSON. irst this looks locally; if there's no local # geojson file for all of the US, this will read it off of S3 logger.debug("Reading in geojson for the country") if not os.path.exists( @@ -400,13 +516,18 @@ class CensusACSETL(ExtractTransformLoad): self.DATA_PATH, ) - geo_df = gpd.read_file( + self.geo_df = gpd.read_file( self.DATA_PATH / "census" / "geojson" / "us.json", ) + def transform(self) -> None: + df = self.df + + # Here we join the geometry of the US to the dataframe so that we can impute + # The income of neighbors. df = CensusACSETL.merge_geojson( df=df, - usa_geo_df=geo_df, + usa_geo_df=self.geo_df, ) # Rename some fields. @@ -455,24 +576,57 @@ class CensusACSETL(ExtractTransformLoad): # Calculate percent at different poverty thresholds df[self.POVERTY_LESS_THAN_100_PERCENT_FPL_FIELD_NAME] = ( - df["C17002_002E"] + df["C17002_003E"] - ) / df["C17002_001E"] + df[self.POVERTY_UNDER_50PCT] + df[self.POVERTY_50PCT_TO_99PCT] + ) / df[self.POVERTY_DATASET_TOTAL] df[self.POVERTY_LESS_THAN_150_PERCENT_FPL_FIELD_NAME] = ( - df["C17002_002E"] - + df["C17002_003E"] - + df["C17002_004E"] - + df["C17002_005E"] - ) / df["C17002_001E"] + df[self.POVERTY_UNDER_50PCT] + + df[self.POVERTY_50PCT_TO_99PCT] + + df[self.POVERTY_100PCT_TO_124PCT] + + df[self.POVERTY_125PCT_TO_149PCT] + ) / df[self.POVERTY_DATASET_TOTAL] df[self.POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME] = ( - df["C17002_002E"] - + df["C17002_003E"] - + df["C17002_004E"] - + df["C17002_005E"] - + df["C17002_006E"] - + df["C17002_007E"] - ) / df["C17002_001E"] + df[self.POVERTY_UNDER_50PCT] + + df[self.POVERTY_50PCT_TO_99PCT] + + df[self.POVERTY_100PCT_TO_124PCT] + + df[self.POVERTY_125PCT_TO_149PCT] + + df[self.POVERTY_150PCT_TO_184PCT] + + df[self.POVERTY_185PCT_TO_199PCT] + ) / df[self.POVERTY_DATASET_TOTAL] + + # COUNT of Povery less than 200% + df[self.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME] = ( + df[self.POVERTY_UNDER_50PCT] + + df[self.POVERTY_50PCT_TO_99PCT] + + df[self.POVERTY_100PCT_TO_124PCT] + + df[self.POVERTY_125PCT_TO_149PCT] + + df[self.POVERTY_150PCT_TO_184PCT] + + df[self.POVERTY_185PCT_TO_199PCT] + ) + + df[self.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME] = ( + df[self.POVERTY_UNDER_50PCT] + df[self.POVERTY_50PCT_TO_99PCT] + ) + + # Off-Campus University Fields: + df[self.OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD] = df[ + self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE + ] + df[self.OFFCAMPUS_UNDERGRADUATE_FIELD] = ( + df[self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE] + + df[self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_UNDERGRADUATE] + ) + df[self.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD] = ( + df[self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE] + + df[self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_GRADUATE] + ) + df[self.OFFCAMPUS_UNIVERSITY_FIELD] = ( + df[self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE] + + df[self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_GRADUATE] + + df[self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_UNDERGRADUATE] + + df[self.OFFCAMPUS_UNIVERSITY_ABOVE_POVERTY_GRADUATE] + ) # Calculate educational attainment educational_numerator_fields = [ @@ -596,16 +750,16 @@ class CensusACSETL(ExtractTransformLoad): df[sum_columns].sum(axis=1) / df[field_names.TOTAL_POP_FIELD] ) - # Calculate college attendance and adjust low income - df[self.COLLEGE_ATTENDANCE_FIELD] = ( - df[self.COLLEGE_ATTENDANCE_MALE_ENROLLED_PUBLIC] - + df[self.COLLEGE_ATTENDANCE_MALE_ENROLLED_PRIVATE] - + df[self.COLLEGE_ATTENDANCE_FEMALE_ENROLLED_PUBLIC] - + df[self.COLLEGE_ATTENDANCE_FEMALE_ENROLLED_PRIVATE] - ) / df[self.COLLEGE_ATTENDANCE_TOTAL_POPULATION_ASKED] + # Calculate university attendance and adjust low income + df[self.UNIVERSITY_ATTENDANCE_FIELD] = ( + df[self.UNIVERSITY_ATTENDANCE_MALE_ENROLLED_PUBLIC] + + df[self.UNIVERSITY_ATTENDANCE_MALE_ENROLLED_PRIVATE] + + df[self.UNIVERSITY_ATTENDANCE_FEMALE_ENROLLED_PUBLIC] + + df[self.UNIVERSITY_ATTENDANCE_FEMALE_ENROLLED_PRIVATE] + ) / df[self.UNIVERSITY_ATTENDANCE_TOTAL_POPULATION_ASKED] - df[self.COLLEGE_NON_ATTENDANCE_FIELD] = ( - 1 - df[self.COLLEGE_ATTENDANCE_FIELD] + df[self.UNIVERSITY_NON_ATTENDANCE_FIELD] = ( + 1 - df[self.UNIVERSITY_ATTENDANCE_FIELD] ) # we impute income for both income measures @@ -618,8 +772,36 @@ class CensusACSETL(ExtractTransformLoad): imputed_field_name=self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME, ), CensusACSETL.ImputeVariables( - raw_field_name=self.COLLEGE_ATTENDANCE_FIELD, - imputed_field_name=self.IMPUTED_COLLEGE_ATTENDANCE_FIELD, + raw_field_name=self.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME, + imputed_field_name=self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME, + ), + CensusACSETL.ImputeVariables( + raw_field_name=self.OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD, + imputed_field_name=self.IMPUTED_OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD, + ), + CensusACSETL.ImputeVariables( + raw_field_name=self.OFFCAMPUS_UNDERGRADUATE_FIELD, + imputed_field_name=self.IMPUTED_OFFCAMPUS_UNDERGRADUATE_FIELD, + ), + CensusACSETL.ImputeVariables( + raw_field_name=self.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD, + imputed_field_name=self.IMPUTED_OFFCAMPUS_UNIVERSITY_POVERTY_FIELD, + ), + CensusACSETL.ImputeVariables( + raw_field_name=self.OFFCAMPUS_UNIVERSITY_FIELD, + imputed_field_name=self.IMPUTED_OFFCAMPUS_UNIVERSITY_FIELD, + ), + CensusACSETL.ImputeVariables( + raw_field_name=self.UNIVERSITY_ATTENDANCE_FIELD, + imputed_field_name=self.IMPUTED_UNIVERSITY_ATTENDANCE_FIELD, + ), + CensusACSETL.ImputeVariables( + raw_field_name=self.POVERTY_DATASET_TOTAL, + imputed_field_name=self.IMPUTED_POVERTY_DATASET_TOTAL, + ), + CensusACSETL.ImputeVariables( + raw_field_name=self.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME, + imputed_field_name=self.IMPUTED_POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME, ), ], geo_df=df, @@ -629,21 +811,156 @@ class CensusACSETL(ExtractTransformLoad): logger.debug("Calculating with imputed values") + # pylint: disable=pointless-string-statement + """ + POVERTY CALCULATION + + Goal: Calculate the portion of people in in households where income + is less than or equal to twice the federal poverty level, + not including students enrolled in higher ed. + + Approach: To do this, we must make an adjustment to remove off-campus university students + from numbers reported by the ACS. We use the "interpolated" method to estimate + the number of off-campus university students actually included in the unadjusted numerator. + + Interpolated Poverty Calculation, Step-by-Step Methodology + + Step 1: Estimate ratio of overall population <200% FPL : overall population <100% FPL + Overall ratio 200:100 FPL = + max( + max[ + Total population <200% FPL, + 1 + ] + / + max[ + Total population <100% FPL, + 1 + ], + 1) + + Step 2: Interpolate the number of off-campus university students <200% FPL + Estimated university population <200% FPL = + min( + max[ + University population <100% FPL x Overall ratio 200:100 FPL, + 0 # nb: actual lower bound is the population university <100%, because ratio is clipped at 1 + ], + Total number of off-campus university students + ) + + Step 3: Subtract off-campus university students from both numerator and denominator of the unadjusted poverty rate + Adjusted poverty rate = + min( + max [ + ( + max[ + Overall <200% FPL population - Estimated university population <200% FPL, + 0 + ] + / + max[ + Everyone in poverty dataset - University total population, + 1 + ], + ), + 0 + ], + 1 + ) + """ + # pylint: enable=pointless-string-statement + + ### Add fields for poverty calculation numerator + + # Step 1: Estimate ratio of overall population <200% FPL : overall population <100% FPL + df[self.OVERALL_RATIO_200FPL_TO_100FPL] = ( + df[self.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME] + .fillna( + df[ + self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME + ] + # Use clip to for consistency with denominator + ) + .clip(lower=1) + / df[self.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME] + .fillna( + df[ + self.IMPUTED_POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME + ] + # Use clip to ensure we never divide by 0 + ) + .clip(lower=1) + # Use clip to ensure that the ratio of poverty <200%:<100% is not lower than 1 + ).clip(lower=1) + + # Step 2: Interpolate the number of off-campus university students <200% FPL + df[self.OFFCAMPUS_UNIVERSITY_POPULATION_COUNT_UNDER_200PCT_FPL] = ( + df[self.OVERALL_RATIO_200FPL_TO_100FPL] + * ( + df[ + self.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD + ].fillna( # corresponds to <100% FPL + df[self.IMPUTED_OFFCAMPUS_UNIVERSITY_POVERTY_FIELD] + ) + ) + # ensure that estimated count of university <200% is between 0 and the total number of university students + # nb: actual lower bound is university <100%, because ratio is clipped at 1 + ).clip( + lower=0, + upper=df[self.OFFCAMPUS_UNIVERSITY_FIELD].fillna( + df[self.IMPUTED_OFFCAMPUS_UNIVERSITY_FIELD] + ), + ) + + # Step 3a: Subtract off-campus university students from numerator of the unadjusted poverty rate df[ - self.ADJUSTED_AND_IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME + self.POPULATION_COUNT_UNDER_200PCT_FPL_MINUS_OFFCAMPUS_UNIVERSITY_ESTIMATE ] = ( - df[self.POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME].fillna( - df[self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME] + df[self.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME].fillna( + df[ + self.IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME + ] ) - - df[self.COLLEGE_ATTENDANCE_FIELD].fillna( - df[self.IMPUTED_COLLEGE_ATTENDANCE_FIELD] - ) - # Use clip to ensure that the values are not negative if college attendance - # is very high + - df[self.OFFCAMPUS_UNIVERSITY_POPULATION_COUNT_UNDER_200PCT_FPL] + # Use clip as extra precaution against values <=0 ).clip( lower=0 ) + ### Add denominator field for poverty calculation + # Step 3b: Subtract off-campus university students from denominator of the unadjusted poverty rate + df[ + self.POPULATION_TOTAL_IN_POVERTY_DATASET_MINUS_OFFCAMPUS_UNVERSITY + ] = ( + df[self.POVERTY_DATASET_TOTAL].fillna( + df[self.IMPUTED_POVERTY_DATASET_TOTAL] + ) + - df[self.OFFCAMPUS_UNIVERSITY_FIELD].fillna( + df[self.IMPUTED_OFFCAMPUS_UNIVERSITY_FIELD] + ) + # Use clip as extra precaution against values <=0 + ).clip( + lower=1 + ) + + # Step 3c: Put the numerator and denominator together to calculate the final adjusted poverty rate + # NB: numerator and denominator are both already imputed and clipped + df[ + self.ADJUSTED_AND_IMPUTED_POVERTY_LESS_THAN_200_PERCENT_FPL_FIELD_NAME + ] = ( + df[ + self.POPULATION_COUNT_UNDER_200PCT_FPL_MINUS_OFFCAMPUS_UNIVERSITY_ESTIMATE + ] + / df[ + self.POPULATION_TOTAL_IN_POVERTY_DATASET_MINUS_OFFCAMPUS_UNVERSITY + ] + # Clip to ensure percentage is between 0 and + ).clip( + lower=0, upper=1 + ) + + ## CHECK OUTPUT AND SAVE RESULTS # All values should have a value at this point assert ( # For tracts with >0 population diff --git a/data/data-pipeline/data_pipeline/ipython/poverty_calculation_analysis_of_changes.ipynb b/data/data-pipeline/data_pipeline/ipython/poverty_calculation_analysis_of_changes.ipynb new file mode 100644 index 00000000..f13bc1e2 --- /dev/null +++ b/data/data-pipeline/data_pipeline/ipython/poverty_calculation_analysis_of_changes.ipynb @@ -0,0 +1,5313 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "6ef80f77", + "metadata": {}, + "outputs": [], + "source": [ + "import IPython\n", + "import os\n", + "import pandas as pd\n", + "import pathlib\n", + "import sys\n", + "import matplotlib.pyplot as plt\n", + "#from matplotlib import colormaps\n", + "import numpy as np \n", + "\n", + "module_path = os.path.abspath(os.path.join(\"../..\"))\n", + "if module_path not in sys.path:\n", + " sys.path.append(module_path)\n", + "\n", + "from data_pipeline.etl.base import ExtractTransformLoad\n", + "from data_pipeline.score import field_names\n", + "\n", + "DATA_DIR = pathlib.Path.cwd().parent / \"data\"" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9838abab", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_32367/3866372662.py:14: DtypeWarning: Columns (1,2,3,77,78,80,81) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " score_prod = pd.read_csv(\n", + "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_32367/3866372662.py:20: DtypeWarning: Columns (1,2,3,77,78,80,81) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " score_blanket = pd.read_csv(\n", + "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_32367/3866372662.py:26: DtypeWarning: Columns (1,2,3,77,78,80,81) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " score_unadjusted = pd.read_csv(\n", + "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_32367/3866372662.py:32: DtypeWarning: Columns (1,2,3,77,78,80,81) have mixed types. Specify dtype option on import or set low_memory=False.\n", + " score_interpolated = pd.read_csv(\n" + ] + }, + { + "data": { + "text/html": [ + "
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GEOID10_TRACTDoes the tract have at least 35 acres in it?Contains agricultural valueNames of Tribal areas within Census tractHousing burden (percent)Share of homes with no kitchen or indoor plumbing (percent)Total populationMedian household income (% of state median household income)Current asthma among adults aged greater than or equal to 18 yearsCoronary heart disease among adults aged greater than or equal to 18 years...Workforce Factor (Definition N)Total categories exceededis_dac_pre_donutDefinition N (communities) (percentile)Meets the less stringent low income criterion for the adjacency index?Definition N (communities) (average of neighbors)Is the tract surrounded by disadvantaged communities?Definition N (communities) (based on adjacency index and low income alone)is_dac_finalPercentage of tract that is disadvantaged
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" + ], + "text/plain": [ + " GEOID10_TRACT Does the tract have at least 35 acres in it? \\\n", + "0 01073001100 True \n", + "1 01073001400 True \n", + "2 01073002000 True \n", + "3 01073003802 True \n", + "4 01073004000 True \n", + "\n", + " Contains agricultural value Names of Tribal areas within Census tract \\\n", + "0 True NaN \n", + "1 True NaN \n", + "2 True NaN \n", + "3 True NaN \n", + "4 False NaN \n", + "\n", + " Housing burden (percent) \\\n", + "0 0.275204 \n", + "1 0.182353 \n", + "2 0.435088 \n", + "3 0.411141 \n", + "4 0.468310 \n", + "\n", + " Share of homes with no kitchen or indoor plumbing (percent) \\\n", + "0 0.000000 \n", + "1 0.004706 \n", + "2 0.006873 \n", + "3 0.038961 \n", + "4 0.009901 \n", + "\n", + " Total population \\\n", + "0 4781.0 \n", + "1 1946.0 \n", + "2 4080.0 \n", + "3 5291.0 \n", + "4 2533.0 \n", + "\n", + " Median household income (% of state median household income) \\\n", + "0 0.732745 \n", + "1 0.713669 \n", + "2 0.537419 \n", + "3 0.766206 \n", + "4 0.366570 \n", + "\n", + " Current asthma among adults aged greater than or equal to 18 years \\\n", + "0 11.2 \n", + "1 11.1 \n", + "2 13.5 \n", + "3 12.0 \n", + "4 13.1 \n", + "\n", + " Coronary heart disease among adults aged greater than or equal to 18 years \\\n", + "0 7.2 \n", + "1 9.1 \n", + "2 9.5 \n", + "3 6.6 \n", + "4 10.0 \n", + "\n", + " ... Workforce Factor (Definition N) Total categories exceeded \\\n", + "0 ... False 0.0 \n", + "1 ... True 6.0 \n", + "2 ... True 3.0 \n", + "3 ... False 4.0 \n", + "4 ... True 5.0 \n", + "\n", + " is_dac_pre_donut Definition N (communities) (percentile) \\\n", + "0 False 0 \n", + "1 True 1 \n", + "2 True 1 \n", + "3 True 1 \n", + "4 True 1 \n", + "\n", + " Meets the less stringent low income criterion for the adjacency index? \\\n", + "0 True \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "\n", + " Definition N (communities) (average of neighbors) \\\n", + "0 0.857143 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "\n", + " Is the tract surrounded by disadvantaged communities? \\\n", + "0 False \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "\n", + " Definition N (communities) (based on adjacency index and low income alone) \\\n", + "0 False \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "\n", + " is_dac_final Percentage of tract that is disadvantaged \n", + "0 False 0.0 \n", + "1 True 1.0 \n", + "2 True 1.0 \n", + "3 True 1.0 \n", + "4 True 1.0 \n", + "\n", + "[5 rows x 266 columns]" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load\n", + "path_to_score_file_prod = DATA_DIR / \"score/csv/full/usa__scores__DAC_results__\\\n", + "before_poverty_calculation_changes.csv\"\n", + "\n", + "path_to_score_file_blanket = DATA_DIR / \"score/csv/full/usa__scores__DAC_results__\\\n", + "baseline_6ii.csv\"\n", + "\n", + "path_to_score_file_unadjusted = DATA_DIR / \"score/csv/full/usa__scores__DAC_results__\\\n", + "unadjusted_7.csv\"\n", + "\n", + "path_to_score_file_interpolated = DATA_DIR / \"score/csv/full/usa__scores__DAC_results__\\\n", + "interpolated_8.csv\"\n", + "\n", + "score_prod = pd.read_csv(\n", + " path_to_score_file_prod,\n", + " dtype={ExtractTransformLoad.GEOID_TRACT_FIELD_NAME: \"string\"},\n", + ").rename(columns={'Definition N community, including adjacency index tracts': 'is_dac_final',\n", + " 'Definition N (communities)': 'is_dac_pre_donut'})\n", + "\n", + "score_blanket = pd.read_csv(\n", + " path_to_score_file_blanket,\n", + " dtype={ExtractTransformLoad.GEOID_TRACT_FIELD_NAME: \"string\"},\n", + ").rename(columns={'Definition N community, including adjacency index tracts': 'is_dac_final',\n", + " 'Definition N (communities)': 'is_dac_pre_donut'})\n", + "\n", + "score_unadjusted = pd.read_csv(\n", + " path_to_score_file_unadjusted,\n", + " dtype={ExtractTransformLoad.GEOID_TRACT_FIELD_NAME: \"string\"},\n", + ").rename(columns={'Definition N community, including adjacency index tracts': 'is_dac_final',\n", + " 'Definition N (communities)': 'is_dac_pre_donut'})\n", + "\n", + "score_interpolated = pd.read_csv(\n", + " path_to_score_file_interpolated,\n", + " dtype={ExtractTransformLoad.GEOID_TRACT_FIELD_NAME: \"string\"},\n", + ").rename(columns={'Definition N community, including adjacency index tracts': 'is_dac_final',\n", + " 'Definition N (communities)': 'is_dac_pre_donut'})\n", + "\n", + "score_prod.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "76781a40", + "metadata": {}, + "outputs": [], + "source": [ + "# Make sure we're not adding or removing any columns to the final usa.csv file\n", + "assert len(score_blanket.columns.difference(score_prod.columns))==0\n", + "assert len(score_unadjusted.columns.difference(score_prod.columns))==0\n", + "assert len(score_interpolated.columns.difference(score_prod.columns))==0" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2b8d8b54", + "metadata": {}, + "outputs": [], + "source": [ + "new_method_result_dfs = [score_blanket, score_unadjusted, score_interpolated]" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "05615567", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Difference in tract IDs:\n", + "set()\n", + "Difference in tract IDs:\n", + "set()\n", + "Difference in tract IDs:\n", + "set()\n" + ] + } + ], + "source": [ + "# List rows in one but not the other\n", + "\n", + "for score_df in new_method_result_dfs:\n", + " \n", + " if len(score_df[ExtractTransformLoad.GEOID_TRACT_FIELD_NAME]) != len(\n", + " score_prod[ExtractTransformLoad.GEOID_TRACT_FIELD_NAME]\n", + " ):\n", + " print(\"Different lengths!\")\n", + "\n", + " print(\"Difference in tract IDs:\")\n", + " print(\n", + " set(score_df[ExtractTransformLoad.GEOID_TRACT_FIELD_NAME])\n", + " ^ set(score_prod[ExtractTransformLoad.GEOID_TRACT_FIELD_NAME])\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "f1407910", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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5 rows × 1061 columns

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" + ], + "text/plain": [ + " GEOID10_TRACT Does the tract have at least 35 acres in it?_unadjusted \\\n", + "0 01073001100 True \n", + "1 01073001400 True \n", + "2 01073002000 True \n", + "3 01073003802 True \n", + "4 01073004000 True \n", + "\n", + " Contains agricultural value_unadjusted \\\n", + "0 True \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 False \n", + "\n", + " Names of Tribal areas within Census tract_unadjusted \\\n", + "0 NaN \n", + "1 NaN \n", + "2 NaN \n", + "3 NaN \n", + "4 NaN \n", + "\n", + " Housing burden (percent)_unadjusted \\\n", + "0 0.275204 \n", + "1 0.182353 \n", + "2 0.435088 \n", + "3 0.411141 \n", + "4 0.468310 \n", + "\n", + " Share of homes with no kitchen or indoor plumbing (percent)_unadjusted \\\n", + "0 0.000000 \n", + "1 0.004706 \n", + "2 0.006873 \n", + "3 0.038961 \n", + "4 0.009901 \n", + "\n", + " Total population_unadjusted \\\n", + "0 4781.0 \n", + "1 1946.0 \n", + "2 4080.0 \n", + "3 5291.0 \n", + "4 2533.0 \n", + "\n", + " Median household income (% of state median household income)_unadjusted \\\n", + "0 0.732745 \n", + "1 0.713669 \n", + "2 0.537419 \n", + "3 0.766206 \n", + "4 0.366570 \n", + "\n", + " Current asthma among adults aged greater than or equal to 18 years_unadjusted \\\n", + "0 11.2 \n", + "1 11.1 \n", + "2 13.5 \n", + "3 12.0 \n", + "4 13.1 \n", + "\n", + " Coronary heart disease among adults aged greater than or equal to 18 years_unadjusted \\\n", + "0 7.2 \n", + "1 9.1 \n", + "2 9.5 \n", + "3 6.6 \n", + "4 10.0 \n", + "\n", + " ... Workforce Factor (Definition N)_blanket \\\n", + "0 ... False \n", + "1 ... True \n", + "2 ... True \n", + "3 ... False \n", + "4 ... True \n", + "\n", + " Total categories exceeded_blanket is_dac_pre_donut_blanket \\\n", + "0 0.0 False \n", + "1 6.0 True \n", + "2 3.0 True \n", + "3 4.0 True \n", + "4 5.0 True \n", + "\n", + " Definition N (communities) (percentile)_blanket \\\n", + "0 0 \n", + "1 1 \n", + "2 1 \n", + "3 1 \n", + "4 1 \n", + "\n", + " Meets the less stringent low income criterion for the adjacency index?_blanket \\\n", + "0 True \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "\n", + " Definition N (communities) (average of neighbors)_blanket \\\n", + "0 0.857143 \n", + "1 1.000000 \n", + "2 1.000000 \n", + "3 1.000000 \n", + "4 1.000000 \n", + "\n", + " Is the tract surrounded by disadvantaged communities?_blanket \\\n", + "0 False \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "\n", + " Definition N (communities) (based on adjacency index and low income alone)_blanket \\\n", + "0 False \n", + "1 True \n", + "2 True \n", + "3 True \n", + "4 True \n", + "\n", + " is_dac_final_blanket Percentage of tract that is disadvantaged_blanket \n", + "0 False 0.0 \n", + "1 True 1.0 \n", + "2 True 1.0 \n", + "3 True 1.0 \n", + "4 True 1.0 \n", + "\n", + "[5 rows x 1061 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Join\n", + "merged_prod_blanket = score_prod.merge(\n", + " score_blanket,\n", + " how=\"outer\",\n", + " on=ExtractTransformLoad.GEOID_TRACT_FIELD_NAME,\n", + " suffixes=(\"_production\", \"_blanket\"),\n", + ")\n", + "merged_unadjusted_interpolated = score_unadjusted.merge(\n", + " score_interpolated,\n", + " how=\"outer\",\n", + " on=ExtractTransformLoad.GEOID_TRACT_FIELD_NAME,\n", + " suffixes=(\"_unadjusted\", \"_interpolated\"),\n", + ")\n", + "merged_scores = merged_unadjusted_interpolated.merge(\n", + " merged_prod_blanket,\n", + " how=\"outer\",\n", + " on=ExtractTransformLoad.GEOID_TRACT_FIELD_NAME,\n", + ")\n", + "merged_scores.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e357c808", + "metadata": {}, + "outputs": [], + "source": [ + "uni_dict = {\n", + " '06071004510': 'California State University, San Bernardino',\n", + " '36061020300': 'Columbia University',\n", + " '51650011400': 'Hampton University',\n", + " '51710004700': 'Norfolk State University',\n", + " '06085513000': 'Stanford University 1',\n", + " '06085511608': 'Stanford University 2',\n", + " '01073004500': 'University of Alabama',\n", + " '17031836200': 'University of Chicago',\n", + " '06037222700': 'University of Southern California'\n", + "}\n", + "\n", + "\n", + "uni_tracts = uni_dict.keys()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5f702487", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_32367/565559183.py:3: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " uni_scores['school_name'] = uni_scores.GEOID10_TRACT.apply(lambda x: uni_dict[x])\n" + ] + }, + { + "data": { + "text/html": [ + "
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GEOID10_TRACTschool_nameis_dac_final_productionis_dac_final_unadjustedis_dac_final_blanketis_dac_final_interpolated
86101073004500University of AlabamaFalseTrueTrueTrue
699206037222700University of Southern CaliforniaFalseTrueFalseTrue
476406071004510California State University, San BernardinoFalseTrueTrueTrue
890106085511608Stanford University 2FalseFalseFalseFalse
440306085513000Stanford University 1FalseTrueFalseFalse
2369517031836200University of ChicagoFalseFalseFalseFalse
4630736061020300Columbia UniversityFalseTrueFalseFalse
6922051650011400Hampton UniversityFalseTrueTrueFalse
6951251710004700Norfolk State UniversityTrueTrueTrueTrue
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" + ], + "text/plain": [ + " GEOID10_TRACT school_name \\\n", + "861 01073004500 University of Alabama \n", + "6992 06037222700 University of Southern California \n", + "4764 06071004510 California State University, San Bernardino \n", + "8901 06085511608 Stanford University 2 \n", + "4403 06085513000 Stanford University 1 \n", + "23695 17031836200 University of Chicago \n", + "46307 36061020300 Columbia University \n", + "69220 51650011400 Hampton University \n", + "69512 51710004700 Norfolk State University \n", + "\n", + " is_dac_final_production is_dac_final_unadjusted is_dac_final_blanket \\\n", + "861 False True True \n", + "6992 False True False \n", + "4764 False True True \n", + "8901 False False False \n", + "4403 False True False \n", + "23695 False False False \n", + "46307 False True False \n", + "69220 False True True \n", + "69512 True True True \n", + "\n", + " is_dac_final_interpolated \n", + "861 True \n", + "6992 True \n", + "4764 True \n", + "8901 False \n", + "4403 False \n", + "23695 False \n", + "46307 False \n", + "69220 False \n", + "69512 True " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "method_names = ['production', 'unadjusted', 'blanket', 'interpolated']\n", + "uni_scores = merged_scores.loc[merged_scores.GEOID10_TRACT.isin(uni_tracts)]\n", + "uni_scores['school_name'] = uni_scores.GEOID10_TRACT.apply(lambda x: uni_dict[x])\n", + "uni_scores[['GEOID10_TRACT', 'school_name']+['is_dac_final_'+x for x in method_names]]\\\n", + " .sort_values(by='GEOID10_TRACT')" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1aedf528", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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methodn_dac_finaln_diff_vs_prodn_added_vs_prodn_removed_vs_prodn_diff_vs_unadjn_added_vs_unadjn_remove_vs_unadj
0production27311000364720191628
1unadjusted26920364716282019000
2blanket27192167177689521241198926
3interpolated270163083139416891598847751
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" + ], + "text/plain": [ + " method n_dac_final n_diff_vs_prod n_added_vs_prod \\\n", + "0 production 27311 0 0 \n", + "1 unadjusted 26920 3647 1628 \n", + "2 blanket 27192 1671 776 \n", + "3 interpolated 27016 3083 1394 \n", + "\n", + " n_removed_vs_prod n_diff_vs_unadj n_added_vs_unadj n_remove_vs_unadj \n", + "0 0 3647 2019 1628 \n", + "1 2019 0 0 0 \n", + "2 895 2124 1198 926 \n", + "3 1689 1598 847 751 " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/html": [ + "
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methodn_dac_pre_donutsn_diff_vs_prodn_added_vs_prodn_removed_vs_prodn_diff_vs_unadjn_added_vs_unadjn_remove_vs_unadj
0production27032000355119561595
1unadjusted26671355115951956000
2blanket26921161975486520721161911
3interpolated267632995136316321562827735
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" + ], + "text/plain": [ + " method n_dac_pre_donuts n_diff_vs_prod n_added_vs_prod \\\n", + "0 production 27032 0 0 \n", + "1 unadjusted 26671 3551 1595 \n", + "2 blanket 26921 1619 754 \n", + "3 interpolated 26763 2995 1363 \n", + "\n", + " n_removed_vs_prod n_diff_vs_unadj n_added_vs_unadj n_remove_vs_unadj \n", + "0 0 3551 1956 1595 \n", + "1 1956 0 0 0 \n", + "2 865 2072 1161 911 \n", + "3 1632 1562 827 735 " + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "n_dac_pre = []\n", + "n_dac_final = []\n", + "n_diff_prod_pre = []\n", + "n_diff_prod_final = []\n", + "n_diff_unadj_pre = []\n", + "n_diff_unadj_final = []\n", + "n_added_prod_pre = []\n", + "n_added_prod_final = []\n", + "n_removed_prod_pre = []\n", + "n_removed_prod_final = []\n", + "n_added_unadj_pre = []\n", + "n_added_unadj_final = []\n", + "n_removed_unadj_pre = []\n", + "n_removed_unadj_final = []\n", + "\n", + "\n", + "\n", + "for method in method_names:\n", + " final_dac_col = f'is_dac_final_{method}'\n", + " pre_dac_col = f'is_dac_pre_donut_{method}'\n", + " \n", + " n_dac_pre.append(merged_scores[pre_dac_col].sum())\n", + " n_dac_final.append(merged_scores[final_dac_col].sum())\n", + " n_diff_prod_pre.append(sum(merged_scores[pre_dac_col]\\\n", + " !=merged_scores['is_dac_pre_donut_production']))\n", + " n_diff_prod_final.append(sum(merged_scores[final_dac_col]\\\n", + " !=merged_scores['is_dac_final_production']))\n", + " n_added_prod_pre.append(len(merged_scores[(merged_scores[pre_dac_col]==True)\\\n", + " & (merged_scores['is_dac_pre_donut_production']==False)]))\n", + " n_added_prod_final.append(len(merged_scores[(merged_scores[final_dac_col]==True)\\\n", + " & (merged_scores['is_dac_final_production']==False)]))\n", + " n_removed_prod_pre.append(len(merged_scores[(merged_scores[pre_dac_col]==False)\\\n", + " & (merged_scores['is_dac_pre_donut_production']==True)]))\n", + " n_removed_prod_final.append(len(merged_scores[(merged_scores[final_dac_col]==False)\\\n", + " & (merged_scores['is_dac_final_production']==True)]))\n", + " n_diff_unadj_pre.append(sum(merged_scores[pre_dac_col]!=merged_scores['is_dac_pre_donut_unadjusted']))\n", + " n_diff_unadj_final.append(sum(merged_scores[final_dac_col]!=merged_scores['is_dac_final_unadjusted']))\n", + " n_added_unadj_pre.append(len(merged_scores[(merged_scores[pre_dac_col]==True)\\\n", + " & (merged_scores['is_dac_pre_donut_unadjusted']==False)]))\n", + " n_added_unadj_final.append(len(merged_scores[(merged_scores[final_dac_col]==True)\\\n", + " & (merged_scores['is_dac_final_unadjusted']==False)]))\n", + " n_removed_unadj_pre.append(len(merged_scores[(merged_scores[pre_dac_col]==False) \\\n", + " & (merged_scores['is_dac_pre_donut_unadjusted']==True)]))\n", + " n_removed_unadj_final.append(len(merged_scores[(merged_scores[final_dac_col]==False) \\\n", + " & (merged_scores['is_dac_final_unadjusted']==True)]))\n", + "\n", + "final_dac_df = pd.DataFrame({\n", + " 'method': method_names,\n", + " 'n_dac_final': n_dac_final,\n", + " 'n_diff_vs_prod': n_diff_prod_final,\n", + " 'n_added_vs_prod': n_added_prod_final,\n", + " 'n_removed_vs_prod': n_removed_prod_final,\n", + " 'n_diff_vs_unadj': n_diff_unadj_final,\n", + " 'n_added_vs_unadj': n_added_unadj_final,\n", + " 'n_remove_vs_unadj': n_removed_unadj_final,\n", + " \n", + "})\n", + "\n", + "pre_dac_df = pd.DataFrame({\n", + " 'method': method_names,\n", + " 'n_dac_pre_donuts': n_dac_pre,\n", + " 'n_diff_vs_prod': n_diff_prod_pre,\n", + " 'n_added_vs_prod': n_added_prod_pre,\n", + " 'n_removed_vs_prod': n_removed_prod_pre, \n", + " 'n_diff_vs_unadj': n_diff_unadj_pre,\n", + " 'n_added_vs_unadj': n_added_unadj_pre,\n", + " 'n_remove_vs_unadj': n_removed_unadj_pre,\n", + " \n", + "})\n", + "\n", + "display(final_dac_df)\n", + "display(pre_dac_df)" + ] + }, + { + "cell_type": "markdown", + "id": "11ac713d", + "metadata": {}, + "source": [ + "## Look at Census ACS output file" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "cab11c53", + "metadata": {}, + "outputs": [], + "source": [ + "path_to_census_acs_file = DATA_DIR / \"dataset/census_acs/usa.csv\"\n", + "\n", + "census_acs = pd.read_csv(\n", + " path_to_census_acs_file,\n", + " dtype={ExtractTransformLoad.GEOID_TRACT_FIELD_NAME: \"string\"},\n", + ").rename(columns={'poverty_rate__prod':'poverty_rate__production',\n", + " 'poverty_rate__baseline':'poverty_rate__blanket'\n", + "})" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "f5538dd5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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GEOID10_TRACTTotal populationUnemployment (percent)Linguistic isolation (percent)Median household income in the past 12 monthsPercent of individuals < 100% Federal Poverty LinePercent of individuals < 150% Federal Poverty LinePercent of individuals < 200% Federal Poverty Line, imputedTotal population of individuals < 200% Federal Poverty LineTotal population of individuals < 200% Federal Poverty Line, imputed...Percent Native Hawaiian or PacificPercent two or more racesPercent WhitePercent Hispanic or LatinoPercent other racesPercent age under 10Percent age 10 to 64Percent age over 64Percent of individuals below 200% Federal Poverty LinePercent of individuals below 200% Federal Poverty Line, imputed and adjusted
00107300110047810.0092070.00000037030.00.1503760.3187970.37443617431743.0...0.00.0000000.0161050.0035560.0000000.1344910.6615770.2039320.3744360.325145
10107300140019460.1150120.02451036066.00.2816030.3679340.483556941941.0...0.00.0035970.0000000.0683450.0775950.0853030.7255910.1891060.4835560.447195
20107300200040800.1375490.01973227159.00.5133520.6161720.72797629172917.0...0.00.0093140.2774510.0750000.0200980.1583330.7196080.1220590.7279760.713007
30107300380252910.1033320.00000038721.00.1965600.3403890.52901227992799.0...0.00.0085050.0160650.0000000.0000000.1466640.7206580.1326780.5290120.495342
40107300400025330.2114830.04478718525.00.4058430.5850770.70785617931793.0...0.00.0450060.0659300.0682980.0000000.0635610.6881170.2483220.7078560.697094
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5 rows × 59 columns

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" + ], + "text/plain": [ + " GEOID10_TRACT Total population Unemployment (percent) \\\n", + "0 01073001100 4781 0.009207 \n", + "1 01073001400 1946 0.115012 \n", + "2 01073002000 4080 0.137549 \n", + "3 01073003802 5291 0.103332 \n", + "4 01073004000 2533 0.211483 \n", + "\n", + " Linguistic isolation (percent) \\\n", + "0 0.000000 \n", + "1 0.024510 \n", + "2 0.019732 \n", + "3 0.000000 \n", + "4 0.044787 \n", + "\n", + " Median household income in the past 12 months \\\n", + "0 37030.0 \n", + "1 36066.0 \n", + "2 27159.0 \n", + "3 38721.0 \n", + "4 18525.0 \n", + "\n", + " Percent of individuals < 100% Federal Poverty Line \\\n", + "0 0.150376 \n", + "1 0.281603 \n", + "2 0.513352 \n", + "3 0.196560 \n", + "4 0.405843 \n", + "\n", + " Percent of individuals < 150% Federal Poverty Line \\\n", + "0 0.318797 \n", + "1 0.367934 \n", + "2 0.616172 \n", + "3 0.340389 \n", + "4 0.585077 \n", + "\n", + " Percent of individuals < 200% Federal Poverty Line, imputed \\\n", + "0 0.374436 \n", + "1 0.483556 \n", + "2 0.727976 \n", + "3 0.529012 \n", + "4 0.707856 \n", + "\n", + " Total population of individuals < 200% Federal Poverty Line \\\n", + "0 1743 \n", + "1 941 \n", + "2 2917 \n", + "3 2799 \n", + "4 1793 \n", + "\n", + " Total population of individuals < 200% Federal Poverty Line, imputed ... \\\n", + "0 1743.0 ... \n", + "1 941.0 ... \n", + "2 2917.0 ... \n", + "3 2799.0 ... \n", + "4 1793.0 ... \n", + "\n", + " Percent Native Hawaiian or Pacific Percent two or more races \\\n", + "0 0.0 0.000000 \n", + "1 0.0 0.003597 \n", + "2 0.0 0.009314 \n", + "3 0.0 0.008505 \n", + "4 0.0 0.045006 \n", + "\n", + " Percent White Percent Hispanic or Latino Percent other races \\\n", + "0 0.016105 0.003556 0.000000 \n", + "1 0.000000 0.068345 0.077595 \n", + "2 0.277451 0.075000 0.020098 \n", + "3 0.016065 0.000000 0.000000 \n", + "4 0.065930 0.068298 0.000000 \n", + "\n", + " Percent age under 10 Percent age 10 to 64 Percent age over 64 \\\n", + "0 0.134491 0.661577 0.203932 \n", + "1 0.085303 0.725591 0.189106 \n", + "2 0.158333 0.719608 0.122059 \n", + "3 0.146664 0.720658 0.132678 \n", + "4 0.063561 0.688117 0.248322 \n", + "\n", + " Percent of individuals below 200% Federal Poverty Line \\\n", + "0 0.374436 \n", + "1 0.483556 \n", + "2 0.727976 \n", + "3 0.529012 \n", + "4 0.707856 \n", + "\n", + " Percent of individuals below 200% Federal Poverty Line, imputed and adjusted \n", + "0 0.325145 \n", + "1 0.447195 \n", + "2 0.713007 \n", + "3 0.495342 \n", + "4 0.697094 \n", + "\n", + "[5 rows x 59 columns]" + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "census_acs.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "cd780f0e", + "metadata": {}, + "outputs": [], + "source": [ + "def uni_bucket(x):\n", + " if x<0.2:\n", + " return \"0-19%\"\n", + " if x<0.5:\n", + " return \"20-49%\"\n", + " if x<0.7:\n", + " return \"50-69%\"\n", + " if x<0.9:\n", + " return \"70-89%\"\n", + " return \"90-100%\"\n", + "\n", + "census_acs['university_attendance_bucketed'] \\\n", + " = census_acs['Percent enrollment in college or graduate school, imputed'].apply(uni_bucket)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "0cde2c5d", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0-19% 0.955242\n", + "20-49% 0.024630\n", + "90-100% 0.011558\n", + "50-69% 0.005313\n", + "70-89% 0.003258\n", + "Name: university_attendance_bucketed, dtype: float64" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "census_acs['university_attendance_bucketed'].value_counts(normalize=True)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "0c646df4", + "metadata": {}, + "outputs": [], + "source": [ + "prod = 'poverty_rate__production'\n", + "blanket = 'poverty_rate__blanket'\n", + "unadjusted = 'poverty_rate__unadjusted'\n", + "interpolated = 'poverty_rate__interpolated'\n", + "\n", + "new_methods = [unadjusted, blanket, interpolated]\n", + "adjustment_methods = [prod, blanket, interpolated]\n", + "all_methods = [prod] + new_methods \n", + "\n", + "for m in new_methods: \n", + " census_acs[m+'__diff_vs_production'] = census_acs[m] - census_acs[prod]\n", + " \n", + "for m in adjustment_methods: \n", + " census_acs[m+'__diff_vs_unadjusted'] = census_acs[m] - census_acs[unadjusted]" + ] + }, + { + "cell_type": "markdown", + "id": "817f90f3", + "metadata": {}, + "source": [ + "### Distribution of poverty rate, all methods" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "2c3708eb", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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countmeanstdmin25%50%75%max
poverty_rate__production73273.00.2550270.1876590.00.1019870.2273290.3767171.0
poverty_rate__unadjusted73273.00.3318370.1872300.00.1833280.3044240.4529401.0
poverty_rate__blanket73976.00.2842640.1981540.00.1244080.2559860.4135121.0
poverty_rate__interpolated73976.00.3262560.1925480.00.1739130.2977880.4515491.0
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" + ], + "text/plain": [ + " count mean std min 25% \\\n", + "poverty_rate__production 73273.0 0.255027 0.187659 0.0 0.101987 \n", + "poverty_rate__unadjusted 73273.0 0.331837 0.187230 0.0 0.183328 \n", + "poverty_rate__blanket 73976.0 0.284264 0.198154 0.0 0.124408 \n", + "poverty_rate__interpolated 73976.0 0.326256 0.192548 0.0 0.173913 \n", + "\n", + " 50% 75% max \n", + "poverty_rate__production 0.227329 0.376717 1.0 \n", + "poverty_rate__unadjusted 0.304424 0.452940 1.0 \n", + "poverty_rate__blanket 0.255986 0.413512 1.0 \n", + "poverty_rate__interpolated 0.297788 0.451549 1.0 " + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "distribution_df = census_acs[all_methods].describe()\n", + "distribution_df.T" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "a6726670", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.2273291366683434" + ] + }, + "execution_count": 16, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "distribution_df.loc['50%', 'poverty_rate__production']" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "e114b4b0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(5, 4, figsize=(15,15), sharex=True)\n", + "\n", + "for b, bucket in enumerate(census_acs['university_attendance_bucketed'].unique()):\n", + " bucket_df = census_acs[census_acs.university_attendance_bucketed==bucket]\n", + " for m, method in enumerate(all_methods):\n", + " ax[b][m].hist(bucket_df[method], bins=25, alpha=0.5, color='steelblue')\n", + " if m==0:\n", + " ax[b][m].set_ylabel(f'Tracts with {bucket}\\nUniversity Enrollment')\n", + " if b==0:\n", + " ax[b][m].set_title(method.replace('poverty_rate__', ''), fontweight='bold')\n", + " ax[b][m].xaxis.set_tick_params(labelbottom=True)\n", + " ax[b][m].set_xlabel(f\"Estimated Poverty Rate ({method.replace('poverty_rate__', '')})\")\n", + " ax[b][m].spines[['right', 'top']].set_visible(False)\n", + "plt.subplots_adjust(hspace=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "f8bb1adc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# print prod alone, because it's hard to see on the same scale\n", + "\n", + "fig, ax = plt.subplots(5, 4, figsize=(15,15))\n", + "\n", + "for b, bucket in enumerate(census_acs['university_attendance_bucketed'].unique()):\n", + " bucket_df = census_acs[census_acs.university_attendance_bucketed==bucket]\n", + " for m, method in enumerate([prod]):\n", + " ax[b][m].hist(bucket_df[method], bins=25, alpha=0.5, color='steelblue')\n", + " if m==0:\n", + " ax[b][m].set_ylabel(f'Tracts with {bucket}\\nUniversity Enrollment')\n", + " if b==0:\n", + " ax[b][m].set_title(method.replace('poverty_rate__', ''), fontweight='bold')\n", + " ax[b][m].xaxis.set_tick_params(labelbottom=True)\n", + " ax[b][m].set_xlabel(f\"Estimated Poverty Rate ({method.replace('poverty_rate__', '')})\")\n", + " ax[b][m].spines[['right', 'top']].set_visible(False)\n", + " for m in range(1,4):\n", + " ax[b][m].get_xaxis().set_visible(False)\n", + " ax[b][m].get_yaxis().set_visible(False)\n", + " ax[b][m].spines[['right', 'top', 'left', 'bottom']].set_visible(False)\n", + "plt.subplots_adjust(hspace=0.5)" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "0923ad91", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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GEOID10_TRACTpoverty_rate__productionpoverty_rate__unadjustedpoverty_rate__blanketpoverty_rate__interpolatedTotal populationEveryone in poverty datasetEveryone in poverty dataset, minus all universityPopulation enrolled in an undergraduate, graduate, or professional programPercent enrollment in college or graduate schoolPopulation below poverty line enrolled in an undergraduate, graduate, or professional programTotal population of individuals < 125% Federal Poverty LineTotal population of individuals < 200% Federal Poverty Line
12620081010009030.0000001.0000000.0000001.00000052119711971.000000173197197
25623191690008000.0005791.0000001.0000001.00000051788350.999421588
45987360894911000.0021951.0000001.0000001.00000022785500.997805055
18132120570109000.0045021.0000001.0000001.0000005331111100.99549801111
25523180039800010.0048621.0000001.0000001.0000006173300.995138003
43848360290091100.0050681.0000001.0000001.00000057228800.994932048
44972360010004040.0059031.0000001.0000001.0000005082151500.99409701515
43981360910613030.0059351.0000001.0000001.0000002022121200.9940650012
72345550250011020.0064601.0000001.0000001.0000003715193241690.993540158187193
12980090034173000.0074121.0000001.0000001.00000017546600.992588066
18319120010009020.0076301.0000001.0000001.0000006684335280.992370111933
56304420639611020.0018320.9937110.8421051.0000004679954389160.991879823908948
53291390099739010.0000000.9359700.2000001.00000062711062859770.988021805890994
21136171090105000.0136591.0000001.0000001.00000020504528170.986341124045
22062171130002000.0000000.9542170.3770491.0000004419830617690.986196703772792
59298450910606000.0142541.0000001.0000001.00000018248800.985746068
1134010810407000.0000000.9543770.5432101.0000005309811817300.983989625699774
57368420270121000.0171521.0000001.0000001.0000006180138106320.98284832138138
29961240054906050.0000000.9398060.2619051.0000005123515424730.969394409474484
67435490490016020.0000000.9454550.6923081.0000002481440783620.958014292374416
9574060830029240.0000000.8773320.0000001.0000006280493246944630.930393334440474327
24755181570054000.0000000.8666670.0000001.0000007596498057144090.920158337539074316
35017260650043020.0000000.8690730.0000001.0000002604238313722460.912826174919542071
34713260650041000.0004030.9097410.2230771.0000005535447652039560.909338328237774072
67454490050007020.0000000.8667110.5431821.0000002623150844010680.8958256139301307
67008490490016010.0000000.8497820.4309311.0000004225252366618570.863570113816572144
23389170190003010.0883590.9375980.5527431.0000005260509671143850.849240368343394778
57477420039818000.1084850.8484850.5000001.0000002073310230.740000122628
67443490490016030.1569460.8942420.7594181.00000037902657116814890.73729574918412376
46960360670043010.3259210.9689350.9642860.9901741502676588880.64301463567655
27779212219801000.3913041.0000001.0000001.00000023239140.608696142323
47260360610143000.5000001.0000001.0000001.00000022110.500000122
53488400310024010.6406251.0000001.0000001.000000144242400.3593750024
16677120869807000.7481751.0000001.0000001.0000001054924878460.25182546867924
9582060839801000.7500001.0000001.0000001.000000108620.250000288
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" + ], + "text/plain": [ + " GEOID10_TRACT poverty_rate__production poverty_rate__unadjusted \\\n", + "12620 08101000903 0.000000 1.000000 \n", + "25623 19169000800 0.000579 1.000000 \n", + "45987 36089491100 0.002195 1.000000 \n", + "18132 12057010900 0.004502 1.000000 \n", + "25523 18003980001 0.004862 1.000000 \n", + "43848 36029009110 0.005068 1.000000 \n", + "44972 36001000404 0.005903 1.000000 \n", + "43981 36091061303 0.005935 1.000000 \n", + "72345 55025001102 0.006460 1.000000 \n", + "12980 09003417300 0.007412 1.000000 \n", + "18319 12001000902 0.007630 1.000000 \n", + "56304 42063961102 0.001832 0.993711 \n", + "53291 39009973901 0.000000 0.935970 \n", + "21136 17109010500 0.013659 1.000000 \n", + "22062 17113000200 0.000000 0.954217 \n", + "59298 45091060600 0.014254 1.000000 \n", + "1134 01081040700 0.000000 0.954377 \n", + "57368 42027012100 0.017152 1.000000 \n", + "29961 24005490605 0.000000 0.939806 \n", + "67435 49049001602 0.000000 0.945455 \n", + "9574 06083002924 0.000000 0.877332 \n", + "24755 18157005400 0.000000 0.866667 \n", + "35017 26065004302 0.000000 0.869073 \n", + "34713 26065004100 0.000403 0.909741 \n", + "67454 49005000702 0.000000 0.866711 \n", + "67008 49049001601 0.000000 0.849782 \n", + "23389 17019000301 0.088359 0.937598 \n", + "57477 42003981800 0.108485 0.848485 \n", + "67443 49049001603 0.156946 0.894242 \n", + "46960 36067004301 0.325921 0.968935 \n", + "27779 21221980100 0.391304 1.000000 \n", + "47260 36061014300 0.500000 1.000000 \n", + "53488 40031002401 0.640625 1.000000 \n", + "16677 12086980700 0.748175 1.000000 \n", + "9582 06083980100 0.750000 1.000000 \n", + "54114 40109104000 0.669806 0.863354 \n", + "756 01097000402 0.755551 0.938107 \n", + "64857 48099980000 0.821138 1.000000 \n", + "73914 72127004800 0.871436 0.984860 \n", + "73971 72033980003 0.888889 1.000000 \n", + "52628 39035109701 0.891537 0.991021 \n", + "73145 72113070900 0.893815 0.982530 \n", + "73351 72013301300 0.890826 0.975008 \n", + "73645 72127003600 0.873872 0.954092 \n", + "59643 45013000400 0.931385 1.000000 \n", + "27920 21061980100 0.932836 1.000000 \n", + "73821 72127001302 0.926722 0.991447 \n", + "8088 06025010101 0.953348 1.000000 \n", + "3989 06073009901 0.960053 1.000000 \n", + "49437 37133000500 0.496443 0.533333 \n", + "65350 48453002319 0.970017 1.000000 \n", + "25139 18095011600 0.978764 1.000000 \n", + "45253 36005028400 0.987179 1.000000 \n", + "73966 72033020426 0.984374 0.996495 \n", + "19570 13089023115 0.992857 1.000000 \n", + "12618 08101000300 0.996723 1.000000 \n", + "22107 17087980000 0.997753 1.000000 \n", + "73812 72033980005 1.000000 1.000000 \n", + "73827 72127980000 1.000000 1.000000 \n", + "73835 72127980200 1.000000 1.000000 \n", + "70313 53057990100 1.000000 1.000000 \n", + "2273 04013941100 1.000000 1.000000 \n", + "7741 06037980008 1.000000 1.000000 \n", + "44325 36005027600 1.000000 1.000000 \n", + "8721 06037980033 1.000000 1.000000 \n", + "8789 06059021813 1.000000 1.000000 \n", + "65255 48479980000 1.000000 1.000000 \n", + "64278 48113980100 1.000000 1.000000 \n", + "64258 48201980000 1.000000 1.000000 \n", + "60428 47031980100 1.000000 1.000000 \n", + "21627 17201980000 1.000000 1.000000 \n", + "56010 42003051100 1.000000 1.000000 \n", + "27958 21163980100 1.000000 1.000000 \n", + "29144 22071004402 1.000000 1.000000 \n", + "34859 26083980100 1.000000 1.000000 \n", + "35330 26099982200 1.000000 1.000000 \n", + "44180 36081042600 1.000000 1.000000 \n", + "44621 36047015400 1.000000 1.000000 \n", + "\n", + " poverty_rate__blanket poverty_rate__interpolated Total population \\\n", + "12620 0.000000 1.000000 521 \n", + "25623 1.000000 1.000000 5178 \n", + "45987 1.000000 1.000000 2278 \n", + "18132 1.000000 1.000000 5331 \n", + "25523 1.000000 1.000000 617 \n", + "43848 1.000000 1.000000 5722 \n", + "44972 1.000000 1.000000 5082 \n", + "43981 1.000000 1.000000 2022 \n", + "72345 1.000000 1.000000 3715 \n", + "12980 1.000000 1.000000 1754 \n", + "18319 1.000000 1.000000 6684 \n", + "56304 0.842105 1.000000 4679 \n", + "53291 0.200000 1.000000 6271 \n", + "21136 1.000000 1.000000 2050 \n", + "22062 0.377049 1.000000 4419 \n", + "59298 1.000000 1.000000 1824 \n", + "1134 0.543210 1.000000 5309 \n", + "57368 1.000000 1.000000 6180 \n", + "29961 0.261905 1.000000 5123 \n", + "67435 0.692308 1.000000 2481 \n", + "9574 0.000000 1.000000 6280 \n", + "24755 0.000000 1.000000 7596 \n", + "35017 0.000000 1.000000 2604 \n", + "34713 0.223077 1.000000 5535 \n", + "67454 0.543182 1.000000 2623 \n", + "67008 0.430931 1.000000 4225 \n", + "23389 0.552743 1.000000 5260 \n", + "57477 0.500000 1.000000 207 \n", + "67443 0.759418 1.000000 3790 \n", + "46960 0.964286 0.990174 1502 \n", + "27779 1.000000 1.000000 23 \n", + "47260 1.000000 1.000000 2 \n", + "53488 1.000000 1.000000 144 \n", + "16677 1.000000 1.000000 1054 \n", + "9582 1.000000 1.000000 10 \n", + "54114 0.839416 1.000000 161 \n", + "756 0.930518 1.000000 824 \n", + "64857 1.000000 1.000000 138 \n", + "73914 0.983498 1.000000 2642 \n", + "73971 1.000000 1.000000 90 \n", + "52628 0.990654 0.994506 2410 \n", + "73145 0.981107 0.996559 1660 \n", + "73351 0.973329 1.000000 3033 \n", + "73645 0.950484 0.993968 1002 \n", + "59643 1.000000 1.000000 787 \n", + "27920 1.000000 1.000000 268 \n", + "73821 0.991086 0.996509 4464 \n", + "8088 1.000000 1.000000 4137 \n", + "3989 1.000000 1.000000 767 \n", + "49437 0.000000 1.000000 1518 \n", + "65350 1.000000 1.000000 2368 \n", + "25139 1.000000 1.000000 3116 \n", + "45253 1.000000 1.000000 554 \n", + "73966 0.996466 0.999941 1712 \n", + "19570 1.000000 1.000000 2240 \n", + "12618 1.000000 1.000000 1838 \n", + "22107 1.000000 1.000000 2225 \n", + "73812 1.000000 1.000000 12 \n", + "73827 1.000000 1.000000 20 \n", + "73835 1.000000 1.000000 61 \n", + "70313 1.000000 1.000000 5 \n", + "2273 1.000000 1.000000 25 \n", + "7741 1.000000 1.000000 68 \n", + "44325 1.000000 1.000000 24 \n", + "8721 1.000000 1.000000 16 \n", + "8789 1.000000 1.000000 4 \n", + "65255 1.000000 1.000000 34 \n", + "64278 1.000000 1.000000 19 \n", + "64258 1.000000 1.000000 4 \n", + "60428 1.000000 1.000000 4 \n", + "21627 1.000000 1.000000 8 \n", + "56010 1.000000 1.000000 402 \n", + "27958 1.000000 1.000000 4 \n", + "29144 1.000000 1.000000 480 \n", + "34859 1.000000 1.000000 3 \n", + "35330 1.000000 1.000000 32 \n", + "44180 1.000000 1.000000 477 \n", + "44621 1.000000 1.000000 11 \n", + "\n", + " Everyone in poverty dataset \\\n", + "12620 197 \n", + "25623 8 \n", + "45987 5 \n", + "18132 11 \n", + "25523 3 \n", + "43848 8 \n", + "44972 15 \n", + "43981 12 \n", + "72345 193 \n", + "12980 6 \n", + "18319 33 \n", + "56304 954 \n", + "53291 1062 \n", + "21136 45 \n", + "22062 830 \n", + "59298 8 \n", + "1134 811 \n", + "57368 138 \n", + "29961 515 \n", + "67435 440 \n", + "9574 4932 \n", + "24755 4980 \n", + "35017 2383 \n", + "34713 4476 \n", + "67454 1508 \n", + "67008 2523 \n", + "23389 5096 \n", + "57477 33 \n", + "67443 2657 \n", + "46960 676 \n", + "27779 23 \n", + "47260 2 \n", + "53488 24 \n", + "16677 924 \n", + "9582 8 \n", + "54114 161 \n", + "756 824 \n", + "64857 25 \n", + "73914 2642 \n", + "73971 90 \n", + "52628 1782 \n", + "73145 1660 \n", + "73351 3001 \n", + "73645 1002 \n", + "59643 1 \n", + "27920 257 \n", + "73821 4443 \n", + "8088 35 \n", + "3989 20 \n", + "49437 15 \n", + "65350 37 \n", + "25139 24 \n", + "45253 109 \n", + "73966 1712 \n", + "19570 4 \n", + "12618 33 \n", + "22107 12 \n", + "73812 12 \n", + "73827 20 \n", + "73835 61 \n", + "70313 5 \n", + "2273 25 \n", + "7741 68 \n", + "44325 24 \n", + "8721 16 \n", + "8789 4 \n", + "65255 34 \n", + "64278 19 \n", + "64258 4 \n", + "60428 4 \n", + "21627 8 \n", + "56010 402 \n", + "27958 4 \n", + "29144 480 \n", + "34859 3 \n", + "35330 26 \n", + "44180 128 \n", + "44621 11 \n", + "\n", + " Everyone in poverty dataset, minus all university \\\n", + "12620 1 \n", + "25623 3 \n", + "45987 5 \n", + "18132 11 \n", + "25523 3 \n", + "43848 8 \n", + "44972 15 \n", + "43981 12 \n", + "72345 24 \n", + "12980 6 \n", + "18319 5 \n", + "56304 38 \n", + "53291 85 \n", + "21136 28 \n", + "22062 61 \n", + "59298 8 \n", + "1134 81 \n", + "57368 106 \n", + "29961 42 \n", + "67435 78 \n", + "9574 469 \n", + "24755 571 \n", + "35017 137 \n", + "34713 520 \n", + "67454 440 \n", + "67008 666 \n", + "23389 711 \n", + "57477 10 \n", + "67443 1168 \n", + "46960 588 \n", + "27779 9 \n", + "47260 1 \n", + "53488 24 \n", + "16677 878 \n", + "9582 6 \n", + "54114 137 \n", + "756 734 \n", + "64857 25 \n", + "73914 2424 \n", + "73971 81 \n", + "52628 1712 \n", + "73145 1535 \n", + "73351 2812 \n", + "73645 929 \n", + "59643 1 \n", + "27920 250 \n", + "73821 4263 \n", + "8088 35 \n", + "3989 20 \n", + "49437 5 \n", + "65350 37 \n", + "25139 24 \n", + "45253 102 \n", + "73966 1698 \n", + "19570 4 \n", + "12618 33 \n", + "22107 12 \n", + "73812 12 \n", + "73827 20 \n", + "73835 61 \n", + "70313 5 \n", + "2273 25 \n", + "7741 68 \n", + "44325 24 \n", + "8721 16 \n", + "8789 4 \n", + "65255 34 \n", + "64278 19 \n", + "64258 4 \n", + "60428 4 \n", + "21627 8 \n", + "56010 402 \n", + "27958 4 \n", + "29144 480 \n", + "34859 3 \n", + "35330 26 \n", + "44180 128 \n", + "44621 11 \n", + "\n", + " Population enrolled in an undergraduate, graduate, or professional program \\\n", + "12620 197 \n", + "25623 5 \n", + "45987 0 \n", + "18132 0 \n", + "25523 0 \n", + "43848 0 \n", + "44972 0 \n", + "43981 0 \n", + "72345 169 \n", + "12980 0 \n", + "18319 28 \n", + "56304 916 \n", + "53291 977 \n", + "21136 17 \n", + "22062 769 \n", + "59298 0 \n", + "1134 730 \n", + "57368 32 \n", + "29961 473 \n", + "67435 362 \n", + "9574 4463 \n", + "24755 4409 \n", + "35017 2246 \n", + "34713 3956 \n", + "67454 1068 \n", + "67008 1857 \n", + "23389 4385 \n", + "57477 23 \n", + "67443 1489 \n", + "46960 88 \n", + "27779 14 \n", + "47260 1 \n", + "53488 0 \n", + "16677 46 \n", + "9582 2 \n", + "54114 24 \n", + "756 90 \n", + "64857 0 \n", + "73914 218 \n", + "73971 9 \n", + "52628 70 \n", + "73145 125 \n", + "73351 189 \n", + "73645 73 \n", + "59643 0 \n", + "27920 7 \n", + "73821 180 \n", + "8088 0 \n", + "3989 0 \n", + "49437 10 \n", + "65350 0 \n", + "25139 0 \n", + "45253 7 \n", + "73966 14 \n", + "19570 0 \n", + "12618 0 \n", + "22107 0 \n", + "73812 0 \n", + "73827 0 \n", + "73835 0 \n", + "70313 0 \n", + "2273 0 \n", + "7741 0 \n", + "44325 0 \n", + "8721 0 \n", + "8789 0 \n", + "65255 0 \n", + "64278 0 \n", + "64258 0 \n", + "60428 0 \n", + "21627 0 \n", + "56010 0 \n", + "27958 0 \n", + "29144 0 \n", + "34859 0 \n", + "35330 0 \n", + "44180 0 \n", + "44621 0 \n", + "\n", + " Percent enrollment in college or graduate school \\\n", + "12620 1.000000 \n", + "25623 0.999421 \n", + "45987 0.997805 \n", + "18132 0.995498 \n", + "25523 0.995138 \n", + "43848 0.994932 \n", + "44972 0.994097 \n", + "43981 0.994065 \n", + "72345 0.993540 \n", + "12980 0.992588 \n", + "18319 0.992370 \n", + "56304 0.991879 \n", + "53291 0.988021 \n", + "21136 0.986341 \n", + "22062 0.986196 \n", + "59298 0.985746 \n", + "1134 0.983989 \n", + "57368 0.982848 \n", + "29961 0.969394 \n", + "67435 0.958014 \n", + "9574 0.930393 \n", + "24755 0.920158 \n", + "35017 0.912826 \n", + "34713 0.909338 \n", + "67454 0.895825 \n", + "67008 0.863570 \n", + "23389 0.849240 \n", + "57477 0.740000 \n", + "67443 0.737295 \n", + "46960 0.643014 \n", + "27779 0.608696 \n", + "47260 0.500000 \n", + "53488 0.359375 \n", + "16677 0.251825 \n", + "9582 0.250000 \n", + "54114 0.193548 \n", + "756 0.182556 \n", + "64857 0.178862 \n", + "73914 0.113424 \n", + "73971 0.111111 \n", + "52628 0.099484 \n", + "73145 0.088715 \n", + "73351 0.084183 \n", + "73645 0.080220 \n", + "59643 0.068615 \n", + "27920 0.067164 \n", + "73821 0.064725 \n", + "8088 0.046652 \n", + "3989 0.039947 \n", + "49437 0.036891 \n", + "65350 0.029983 \n", + "25139 0.021236 \n", + "45253 0.012821 \n", + "73966 0.012121 \n", + "19570 0.007143 \n", + "12618 0.003277 \n", + "22107 0.002247 \n", + "73812 0.000000 \n", + "73827 0.000000 \n", + "73835 0.000000 \n", + "70313 0.000000 \n", + "2273 0.000000 \n", + "7741 0.000000 \n", + "44325 0.000000 \n", + "8721 0.000000 \n", + "8789 0.000000 \n", + "65255 0.000000 \n", + "64278 0.000000 \n", + "64258 0.000000 \n", + "60428 0.000000 \n", + "21627 0.000000 \n", + "56010 0.000000 \n", + "27958 0.000000 \n", + "29144 0.000000 \n", + "34859 0.000000 \n", + "35330 0.000000 \n", + "44180 0.000000 \n", + "44621 0.000000 \n", + "\n", + " Population below poverty line enrolled in an undergraduate, graduate, or professional program \\\n", + "12620 173 \n", + "25623 5 \n", + "45987 0 \n", + "18132 0 \n", + "25523 0 \n", + "43848 0 \n", + "44972 0 \n", + "43981 0 \n", + "72345 158 \n", + "12980 0 \n", + "18319 11 \n", + "56304 823 \n", + "53291 805 \n", + "21136 12 \n", + "22062 703 \n", + "59298 0 \n", + "1134 625 \n", + "57368 32 \n", + "29961 409 \n", + "67435 292 \n", + "9574 3344 \n", + "24755 3375 \n", + "35017 1749 \n", + "34713 3282 \n", + "67454 613 \n", + "67008 1138 \n", + "23389 3683 \n", + "57477 12 \n", + "67443 749 \n", + "46960 63 \n", + "27779 14 \n", + "47260 1 \n", + "53488 0 \n", + "16677 46 \n", + "9582 2 \n", + "54114 0 \n", + "756 24 \n", + "64857 0 \n", + "73914 166 \n", + "73971 9 \n", + "52628 61 \n", + "73145 87 \n", + "73351 87 \n", + "73645 28 \n", + "59643 0 \n", + "27920 7 \n", + "73821 153 \n", + "8088 0 \n", + "3989 0 \n", + "49437 3 \n", + "65350 0 \n", + "25139 0 \n", + "45253 7 \n", + "73966 8 \n", + "19570 0 \n", + "12618 0 \n", + "22107 0 \n", + "73812 0 \n", + "73827 0 \n", + "73835 0 \n", + "70313 0 \n", + "2273 0 \n", + "7741 0 \n", + "44325 0 \n", + "8721 0 \n", + "8789 0 \n", + "65255 0 \n", + "64278 0 \n", + "64258 0 \n", + "60428 0 \n", + "21627 0 \n", + "56010 0 \n", + "27958 0 \n", + "29144 0 \n", + "34859 0 \n", + "35330 0 \n", + "44180 0 \n", + "44621 0 \n", + "\n", + " Total population of individuals < 125% Federal Poverty Line \\\n", + "12620 197 \n", + "25623 8 \n", + "45987 5 \n", + "18132 11 \n", + "25523 0 \n", + "43848 4 \n", + "44972 15 \n", + "43981 0 \n", + "72345 187 \n", + "12980 6 \n", + "18319 19 \n", + "56304 908 \n", + "53291 890 \n", + "21136 40 \n", + "22062 772 \n", + "59298 6 \n", + "1134 699 \n", + "57368 138 \n", + "29961 474 \n", + "67435 374 \n", + "9574 4047 \n", + "24755 3907 \n", + "35017 1954 \n", + "34713 3777 \n", + "67454 930 \n", + "67008 1657 \n", + "23389 4339 \n", + "57477 26 \n", + "67443 1841 \n", + "46960 567 \n", + "27779 23 \n", + "47260 2 \n", + "53488 0 \n", + "16677 867 \n", + "9582 8 \n", + "54114 68 \n", + "756 554 \n", + "64857 25 \n", + "73914 2529 \n", + "73971 90 \n", + "52628 1699 \n", + "73145 1401 \n", + "73351 2692 \n", + "73645 821 \n", + "59643 1 \n", + "27920 243 \n", + "73821 4296 \n", + "8088 33 \n", + "3989 0 \n", + "49437 8 \n", + "65350 36 \n", + "25139 4 \n", + "45253 104 \n", + "73966 1685 \n", + "19570 2 \n", + "12618 33 \n", + "22107 12 \n", + "73812 12 \n", + "73827 20 \n", + "73835 61 \n", + "70313 5 \n", + "2273 5 \n", + "7741 0 \n", + "44325 4 \n", + "8721 16 \n", + "8789 0 \n", + "65255 34 \n", + "64278 0 \n", + "64258 4 \n", + "60428 0 \n", + "21627 8 \n", + "56010 303 \n", + "27958 0 \n", + "29144 362 \n", + "34859 2 \n", + "35330 26 \n", + "44180 128 \n", + "44621 11 \n", + "\n", + " Total population of individuals < 200% Federal Poverty Line \n", + "12620 197 \n", + "25623 8 \n", + "45987 5 \n", + "18132 11 \n", + "25523 3 \n", + "43848 8 \n", + "44972 15 \n", + "43981 12 \n", + "72345 193 \n", + "12980 6 \n", + "18319 33 \n", + "56304 948 \n", + "53291 994 \n", + "21136 45 \n", + "22062 792 \n", + "59298 8 \n", + "1134 774 \n", + "57368 138 \n", + "29961 484 \n", + "67435 416 \n", + "9574 4327 \n", + "24755 4316 \n", + "35017 2071 \n", + "34713 4072 \n", + "67454 1307 \n", + "67008 2144 \n", + "23389 4778 \n", + "57477 28 \n", + "67443 2376 \n", + "46960 655 \n", + "27779 23 \n", + "47260 2 \n", + "53488 24 \n", + "16677 924 \n", + "9582 8 \n", + "54114 139 \n", + "756 773 \n", + "64857 25 \n", + "73914 2602 \n", + "73971 90 \n", + "52628 1766 \n", + "73145 1631 \n", + "73351 2926 \n", + "73645 956 \n", + "59643 1 \n", + "27920 257 \n", + "73821 4405 \n", + "8088 35 \n", + "3989 20 \n", + "49437 8 \n", + "65350 37 \n", + "25139 24 \n", + "45253 109 \n", + "73966 1706 \n", + "19570 4 \n", + "12618 33 \n", + "22107 12 \n", + "73812 12 \n", + "73827 20 \n", + "73835 61 \n", + "70313 5 \n", + "2273 25 \n", + "7741 68 \n", + "44325 24 \n", + "8721 16 \n", + "8789 4 \n", + "65255 34 \n", + "64278 19 \n", + "64258 4 \n", + "60428 4 \n", + "21627 8 \n", + "56010 402 \n", + "27958 4 \n", + "29144 480 \n", + "34859 3 \n", + "35330 26 \n", + "44180 128 \n", + "44621 11 " + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# take a closer look at where interpolated poverty rate > 99%\n", + "\n", + "pd.set_option('display.max_rows', 100)\n", + "\n", + "cols_to_look_at = ['GEOID10_TRACT']\\\n", + " + all_methods\\\n", + " + [\n", + " 'Total population',\n", + " 'Everyone in poverty dataset',\n", + " 'Everyone in poverty dataset, minus all university',\n", + " 'Population enrolled in an undergraduate, graduate, or professional program',\n", + " 'Percent enrollment in college or graduate school',\n", + " 'Population below poverty line enrolled in an undergraduate, \\\n", + "graduate, or professional program',\n", + " 'Total population of individuals < 125% Federal Poverty Line',\n", + " 'Total population of individuals < 200% Federal Poverty Line'\n", + " ]\n", + "\n", + "census_acs[census_acs[interpolated]>0.99][cols_to_look_at]\\\n", + " .sort_values(by='Percent enrollment in college or graduate school', ascending=False)\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "0932b866", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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GEOID10_TRACTpoverty_rate__productionpoverty_rate__unadjustedpoverty_rate__blanketpoverty_rate__interpolatedTotal populationEveryone in poverty datasetEveryone in poverty dataset, minus all universityPopulation enrolled in an undergraduate, graduate, or professional programPercent enrollment in college or graduate schoolPopulation below poverty line enrolled in an undergraduate, graduate, or professional programTotal population of individuals < 125% Federal Poverty LineTotal population of individuals < 200% Federal Poverty Line
1095010970036050.0000000.4118530.0000000.0000009511101.000000000
1134010810407000.0000000.9543770.5432101.0000005309811817300.983989625699774
1532040279800050.4180260.4180260.0000000.0000002471100.000000000
1632040131134000.6874210.6874210.0000000.0000003431100.000000000
1781040130610170.0961140.2016650.0000000.00000036571100.105551000
..........................................
71435540610101010.0000000.8565490.2159090.526047879481883930.906071316356412
71734551019800000.6414300.6666670.6410260.717949964847860.02523705056
72059550090211000.1809760.1809760.0000000.00000011731100.000000000
72345550250011020.0064601.0000001.0000001.0000003715193241690.993540158187193
73239721130730080.6966560.7161400.0000000.00000020531100.019484000
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272 rows × 13 columns

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" + ], + "text/plain": [ + " GEOID10_TRACT poverty_rate__production poverty_rate__unadjusted \\\n", + "1095 01097003605 0.000000 0.411853 \n", + "1134 01081040700 0.000000 0.954377 \n", + "1532 04027980005 0.418026 0.418026 \n", + "1632 04013113400 0.687421 0.687421 \n", + "1781 04013061017 0.096114 0.201665 \n", + "... ... ... ... \n", + "71435 54061010101 0.000000 0.856549 \n", + "71734 55101980000 0.641430 0.666667 \n", + "72059 55009021100 0.180976 0.180976 \n", + "72345 55025001102 0.006460 1.000000 \n", + "73239 72113073008 0.696656 0.716140 \n", + "\n", + " poverty_rate__blanket poverty_rate__interpolated Total population \\\n", + "1095 0.000000 0.000000 951 \n", + "1134 0.543210 1.000000 5309 \n", + "1532 0.000000 0.000000 247 \n", + "1632 0.000000 0.000000 343 \n", + "1781 0.000000 0.000000 3657 \n", + "... ... ... ... \n", + "71435 0.215909 0.526047 879 \n", + "71734 0.641026 0.717949 964 \n", + "72059 0.000000 0.000000 1173 \n", + "72345 1.000000 1.000000 3715 \n", + "73239 0.000000 0.000000 2053 \n", + "\n", + " Everyone in poverty dataset \\\n", + "1095 1 \n", + "1134 811 \n", + "1532 1 \n", + "1632 1 \n", + "1781 1 \n", + "... ... \n", + "71435 481 \n", + "71734 84 \n", + "72059 1 \n", + "72345 193 \n", + "73239 1 \n", + "\n", + " Everyone in poverty dataset, minus all university \\\n", + "1095 1 \n", + "1134 81 \n", + "1532 1 \n", + "1632 1 \n", + "1781 1 \n", + "... ... \n", + "71435 88 \n", + "71734 78 \n", + "72059 1 \n", + "72345 24 \n", + "73239 1 \n", + "\n", + " Population enrolled in an undergraduate, graduate, or professional program \\\n", + "1095 0 \n", + "1134 730 \n", + "1532 0 \n", + "1632 0 \n", + "1781 0 \n", + "... ... \n", + "71435 393 \n", + "71734 6 \n", + "72059 0 \n", + "72345 169 \n", + "73239 0 \n", + "\n", + " Percent enrollment in college or graduate school \\\n", + "1095 1.000000 \n", + "1134 0.983989 \n", + "1532 0.000000 \n", + "1632 0.000000 \n", + "1781 0.105551 \n", + "... ... \n", + "71435 0.906071 \n", + "71734 0.025237 \n", + "72059 0.000000 \n", + "72345 0.993540 \n", + "73239 0.019484 \n", + "\n", + " Population below poverty line enrolled in an undergraduate, graduate, or professional program \\\n", + "1095 0 \n", + "1134 625 \n", + "1532 0 \n", + "1632 0 \n", + "1781 0 \n", + "... ... \n", + "71435 316 \n", + "71734 0 \n", + "72059 0 \n", + "72345 158 \n", + "73239 0 \n", + "\n", + " Total population of individuals < 125% Federal Poverty Line \\\n", + "1095 0 \n", + "1134 699 \n", + "1532 0 \n", + "1632 0 \n", + "1781 0 \n", + "... ... \n", + "71435 356 \n", + "71734 50 \n", + "72059 0 \n", + "72345 187 \n", + "73239 0 \n", + "\n", + " Total population of individuals < 200% Federal Poverty Line \n", + "1095 0 \n", + "1134 774 \n", + "1532 0 \n", + "1632 0 \n", + "1781 0 \n", + "... ... \n", + "71435 412 \n", + "71734 56 \n", + "72059 0 \n", + "72345 193 \n", + "73239 0 \n", + "\n", + "[272 rows x 13 columns]" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "census_acs[\n", + " (census_acs['Total population']>100) &\\\n", + " (census_acs['Everyone in poverty dataset, minus all university']<100)\n", + " ][cols_to_look_at]" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "39282c24", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "poverty_rate__production\n", + "Number of tracts with 0% poverty: 4073\n", + "Number of tracts with 0-1% poverty: 1099\n", + "Number of tracts with 100% poverty: 21\n", + "Number of tracts with 99-100% poverty: 3\n", + "\n", + "\n", + "\n", + "poverty_rate__unadjusted\n", + "Number of tracts with 0% poverty: 83\n", + "Number of tracts with 0-1% poverty: 4\n", + "Number of tracts with 100% poverty: 54\n", + "Number of tracts with 99-100% poverty: 4\n", + "\n", + "\n", + "\n", + "poverty_rate__blanket\n", + "Number of tracts with 0% poverty: 2789\n", + "Number of tracts with 0-1% poverty: 780\n", + "Number of tracts with 100% poverty: 51\n", + "Number of tracts with 99-100% poverty: 3\n", + "\n", + "\n", + "\n", + "poverty_rate__interpolated\n", + "Number of tracts with 0% poverty: 941\n", + "Number of tracts with 0-1% poverty: 7\n", + "Number of tracts with 100% poverty: 72\n", + "Number of tracts with 99-100% poverty: 6\n", + "\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for m in all_methods:\n", + " print(m)\n", + " zero = len(census_acs[census_acs[m]==0])\n", + " print(f'Number of tracts with 0% poverty: {zero}')\n", + " zero_to_one = len(census_acs[census_acs[m].between(0,0.01, inclusive=\"neither\")])\n", + " print(f'Number of tracts with 0-1% poverty: {zero_to_one}')\n", + " one_hundred = len(census_acs[census_acs[m]==1])\n", + " print(f'Number of tracts with 100% poverty: {one_hundred}')\n", + " ninety_nine_to_one_hundred = len(census_acs[census_acs[m].between(0.99,1, inclusive=\"neither\")])\n", + " print(f'Number of tracts with 99-100% poverty: {ninety_nine_to_one_hundred}\\n')\n", + " print('\\n')" + ] + }, + { + "cell_type": "markdown", + "id": "1367d570", + "metadata": {}, + "source": [ + "### Distribution of adjustments" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "0b87f002", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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poverty_rate__production__diff_vs_unadjustedpoverty_rate__blanket__diff_vs_unadjustedpoverty_rate__interpolated__diff_vs_unadjusted
count73273.00000073273.00000073273.000000
mean-0.076810-0.044846-0.002450
std0.0738240.0469030.037009
min-1.000000-1.000000-1.000000
25%-0.088099-0.054550-0.005050
50%-0.062705-0.0362680.003298
75%-0.043158-0.0220680.010006
max0.0000000.0000000.466667
\n", + "
" + ], + "text/plain": [ + " poverty_rate__production__diff_vs_unadjusted \\\n", + "count 73273.000000 \n", + "mean -0.076810 \n", + "std 0.073824 \n", + "min -1.000000 \n", + "25% -0.088099 \n", + "50% -0.062705 \n", + "75% -0.043158 \n", + "max 0.000000 \n", + "\n", + " poverty_rate__blanket__diff_vs_unadjusted \\\n", + "count 73273.000000 \n", + "mean -0.044846 \n", + "std 0.046903 \n", + "min -1.000000 \n", + "25% -0.054550 \n", + "50% -0.036268 \n", + "75% -0.022068 \n", + "max 0.000000 \n", + "\n", + " poverty_rate__interpolated__diff_vs_unadjusted \n", + "count 73273.000000 \n", + "mean -0.002450 \n", + "std 0.037009 \n", + "min -1.000000 \n", + "25% -0.005050 \n", + "50% 0.003298 \n", + "75% 0.010006 \n", + "max 0.466667 " + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "adj_diff_cols = [x+'__diff_vs_unadjusted' for x in adjustment_methods]\n", + "census_acs[adj_diff_cols].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "ed8ea9e4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(5, 3, figsize=(12,15), sharex=True)\n", + "\n", + "for b, bucket in enumerate(census_acs['university_attendance_bucketed'].unique()):\n", + " bucket_df = census_acs[census_acs.university_attendance_bucketed==bucket]\n", + " for m, method in enumerate(adjustment_methods):\n", + " nice_method = method.replace('poverty_rate__', '')\n", + " ax[b][m].hist(bucket_df[method+'__diff_vs_unadjusted'], \n", + " bins=25, alpha=0.4, color='darkgreen')\n", + " if m==0:\n", + " ax[b][m].set_ylabel(f'Tracts with {bucket}\\nUniversity Enrollment')\n", + " if b==0:\n", + " ax[b][m].set_title(nice_method, fontweight='bold')\n", + " ax[b][m].xaxis.set_tick_params(labelbottom=True)\n", + " ax[b][m].set_xlabel(f\"Change in Estimated Poverty Rate\\n({nice_method} - unadjusted)\")\n", + " ax[b][m].spines[['right', 'top']].set_visible(False)\n", + " ax[b][m].axvline(x=0, color='grey', linestyle='dotted', linewidth=1)\n", + "plt.subplots_adjust(hspace=0.65)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "c8a75ee1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "poverty_rate__production__diff_vs_unadjusted\n", + "Number of tracts where poverty rate increased by 10% or more:\t0\n", + "Number of tracts where poverty rate increased by 5-10%:\t\t0\n", + "Number of tracts where poverty rate within 5% of unadjusted:\t24665\n", + "Number of tracts where poverty rate decreased by 5-10%:\t\t35851\n", + "Number of tracts where poverty rate decreased by 10-25%:\t11037\n", + "Number of tracts where poverty rate decreased by 25-50%:\t1188\n", + "Number of tracts where poverty rate increased by more than 50%:\t544\n", + "\n", + "\n", + "poverty_rate__blanket__diff_vs_unadjusted\n", + "Number of tracts where poverty rate increased by 10% or more:\t0\n", + "Number of tracts where poverty rate increased by 5-10%:\t\t0\n", + "Number of tracts where poverty rate within 5% of unadjusted:\t51146\n", + "Number of tracts where poverty rate decreased by 5-10%:\t\t18943\n", + "Number of tracts where poverty rate decreased by 10-25%:\t2489\n", + "Number of tracts where poverty rate decreased by 25-50%:\t572\n", + "Number of tracts where poverty rate increased by more than 50%:\t123\n", + "\n", + "\n", + "poverty_rate__interpolated__diff_vs_unadjusted\n", + "Number of tracts where poverty rate increased by 10% or more:\t18\n", + "Number of tracts where poverty rate increased by 5-10%:\t\t200\n", + "Number of tracts where poverty rate within 5% of unadjusted:\t70280\n", + "Number of tracts where poverty rate decreased by 5-10%:\t\t1429\n", + "Number of tracts where poverty rate decreased by 10-25%:\t985\n", + "Number of tracts where poverty rate decreased by 25-50%:\t326\n", + "Number of tracts where poverty rate increased by more than 50%:\t35\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for m in adj_diff_cols:\n", + " print(m)\n", + " up_over_10 = len(census_acs[census_acs[m]>0.1])\n", + " print(f'Number of tracts where poverty rate increased by 10% or more:\\t{up_over_10}')\n", + " up_5_to_10 = len(census_acs[census_acs[m].between(0.05, 0.1)])\n", + " print(f'Number of tracts where poverty rate increased by 5-10%:\\t\\t{up_5_to_10}')\n", + " within_5 = len(census_acs[census_acs[m].between(-0.05, 0.05)])\n", + " print(f'Number of tracts where poverty rate within 5% of unadjusted:\\t{within_5}')\n", + " down_5_to_10 = len(census_acs[census_acs[m].between(-0.1, -0.05)])\n", + " print(f'Number of tracts where poverty rate decreased by 5-10%:\\t\\t{down_5_to_10}')\n", + " down_10_to_25 = len(census_acs[census_acs[m].between(-0.25, -0.1)])\n", + " print(f'Number of tracts where poverty rate decreased by 10-25%:\\t{down_10_to_25}')\n", + " down_25_to_50 = len(census_acs[census_acs[m].between(-0.5, -0.25)])\n", + " print(f'Number of tracts where poverty rate decreased by 25-50%:\\t{down_25_to_50}')\n", + " down_over_50 = len(census_acs[census_acs[m]<-0.5])\n", + " print(f'Number of tracts where poverty rate increased by more than 50%:\\t{down_over_50}')\n", + " print('\\n')\n" + ] + }, + { + "cell_type": "markdown", + "id": "cd0982e0", + "metadata": {}, + "source": [ + "### Distribution of changes compared to prod" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "915da6ad", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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poverty_rate__unadjusted__diff_vs_productionpoverty_rate__blanket__diff_vs_productionpoverty_rate__interpolated__diff_vs_production
count73273.00000073273.00000073273.000000
mean0.0768100.0319640.074359
std0.0738240.0483610.062112
min0.000000-0.823406-0.823406
25%0.0431580.0139710.043577
50%0.0627050.0225110.064321
75%0.0880990.0367950.090905
max1.0000000.9994211.000000
\n", + "
" + ], + "text/plain": [ + " poverty_rate__unadjusted__diff_vs_production \\\n", + "count 73273.000000 \n", + "mean 0.076810 \n", + "std 0.073824 \n", + "min 0.000000 \n", + "25% 0.043158 \n", + "50% 0.062705 \n", + "75% 0.088099 \n", + "max 1.000000 \n", + "\n", + " poverty_rate__blanket__diff_vs_production \\\n", + "count 73273.000000 \n", + "mean 0.031964 \n", + "std 0.048361 \n", + "min -0.823406 \n", + "25% 0.013971 \n", + "50% 0.022511 \n", + "75% 0.036795 \n", + "max 0.999421 \n", + "\n", + " poverty_rate__interpolated__diff_vs_production \n", + "count 73273.000000 \n", + "mean 0.074359 \n", + "std 0.062112 \n", + "min -0.823406 \n", + "25% 0.043577 \n", + "50% 0.064321 \n", + "75% 0.090905 \n", + "max 1.000000 " + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "prod_diff_cols = [x+'__diff_vs_production' for x in new_methods]\n", + "census_acs[prod_diff_cols].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "3f13a3c5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig, ax = plt.subplots(5, 3, figsize=(12,15), sharex=True)\n", + "\n", + "for b, bucket in enumerate(census_acs['university_attendance_bucketed'].unique()):\n", + " bucket_df = census_acs[census_acs.university_attendance_bucketed==bucket]\n", + " for m, method in enumerate(new_methods):\n", + " nice_method = method.replace('poverty_rate__', '')\n", + " ax[b][m].hist(bucket_df[method+'__diff_vs_production'], \n", + " bins=25, alpha=0.45, color='darkorange')\n", + " if m==0:\n", + " ax[b][m].set_ylabel(f'Tracts with {bucket}\\nUniversity Enrollment')\n", + " if b==0:\n", + " ax[b][m].set_title(nice_method, fontweight='bold')\n", + " ax[b][m].xaxis.set_tick_params(labelbottom=True)\n", + " ax[b][m].set_xlabel(f\"Change in Estimated Poverty Rate\\n({nice_method} - production)\")\n", + " ax[b][m].spines[['right', 'top']].set_visible(False)\n", + " ax[b][m].axvline(x=0, color='grey', linestyle='dotted', linewidth=1)\n", + "plt.subplots_adjust(hspace=0.65)" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "f12e2deb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bucket_colors = {'0-19%': 'yellow',\n", + " '20-49%': 'orange',\n", + " '50-69%': 'red',\n", + " '70-89%': 'purple',\n", + " '90-100%': 'blue'}\n", + "\n", + "fig, ax = plt.subplots(3, figsize=(12,18))\n", + "for m, method in enumerate(new_methods):\n", + " nice_method = method.replace('poverty_rate__', '')\n", + " for bucket in census_acs['university_attendance_bucketed'].unique():\n", + " bucket_df = census_acs[census_acs.university_attendance_bucketed==bucket]\n", + " ax[m].scatter(bucket_df[prod], bucket_df[method], \n", + " alpha = 0.4, s=2.5, color = bucket_colors[bucket], label = bucket)\n", + " ax[m].plot(np.arange(0, 1.01, .01), np.arange(0, 1.01, .01), \n", + " color='grey', label = 'X=Y reference line')\n", + " ax[m].set_xlabel('Production Poverty Percentage')\n", + " ax[m].set_ylabel(f\"{nice_method} Fix Poverty Percentage\")\n", + " ax[m].legend(bbox_to_anchor=(1,1), frameon=False)\n", + " ax[m].spines[['right', 'top']].set_visible(False)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "0a84c33f", + "metadata": {}, + "source": [ + "## Compare estimated poverty rates in university areas" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "7afd7164", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/5l/yccn5hf936bdstc1y3zxpbkc0000gn/T/ipykernel_32367/2648262686.py:2: SettingWithCopyWarning: \n", + "A value is trying to be set on a copy of a slice from a DataFrame.\n", + "Try using .loc[row_indexer,col_indexer] = value instead\n", + "\n", + "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", + " uni_df['school_name'] = uni_df.GEOID10_TRACT.apply(lambda x: uni_dict[x])\n" + ] + }, + { + "data": { + "text/html": [ + "
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school_nameGEOID10_TRACTpoverty_rate__productionpoverty_rate__unadjustedpoverty_rate__blanketpoverty_rate__interpolatedTotal populationEveryone in poverty datasetEveryone in poverty dataset, minus all universityPopulation enrolled in an undergraduate, graduate, or professional programPercent enrollment in college or graduate schoolPopulation below poverty line enrolled in an undergraduate, graduate, or professional programTotal population of individuals < 125% Federal Poverty LineTotal population of individuals < 200% Federal Poverty Line
861University of Alabama010730045000.0798160.8125240.7063400.8042045177261916729470.73270865617822128
6992University of Southern California060372227000.0000000.8608700.2000000.8500004071345602850.985262246297297
4764California State University, San Bernardino060710045100.0000000.5357730.4267750.4267755422363429436910.56661346211191947
8901Stanford University 2060855116080.0000000.2186050.0000000.1860473302215861290.971063314747
4403Stanford University 1060855130000.0000000.3943720.0000000.17636695784762145333090.876839131015171878
23695University of Chicago170318362000.0000000.3541670.0558380.1078681492288197910.8918735772102
46307Columbia University360610203000.0000000.5124560.0986840.31479036078434563870.889963211316432
69220Hampton University516500114000.0000000.8285120.3664120.36641227814841313530.897723331373401
69512Norfolk State University517100047000.0000000.4774070.4571430.4959182967509490190.848869072243
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" + ], + "text/plain": [ + " school_name GEOID10_TRACT \\\n", + "861 University of Alabama 01073004500 \n", + "6992 University of Southern California 06037222700 \n", + "4764 California State University, San Bernardino 06071004510 \n", + "8901 Stanford University 2 06085511608 \n", + "4403 Stanford University 1 06085513000 \n", + "23695 University of Chicago 17031836200 \n", + "46307 Columbia University 36061020300 \n", + "69220 Hampton University 51650011400 \n", + "69512 Norfolk State University 51710004700 \n", + "\n", + " poverty_rate__production poverty_rate__unadjusted \\\n", + "861 0.079816 0.812524 \n", + "6992 0.000000 0.860870 \n", + "4764 0.000000 0.535773 \n", + "8901 0.000000 0.218605 \n", + "4403 0.000000 0.394372 \n", + "23695 0.000000 0.354167 \n", + "46307 0.000000 0.512456 \n", + "69220 0.000000 0.828512 \n", + "69512 0.000000 0.477407 \n", + "\n", + " poverty_rate__blanket poverty_rate__interpolated Total population \\\n", + "861 0.706340 0.804204 5177 \n", + "6992 0.200000 0.850000 4071 \n", + "4764 0.426775 0.426775 5422 \n", + "8901 0.000000 0.186047 3302 \n", + "4403 0.000000 0.176366 9578 \n", + "23695 0.055838 0.107868 1492 \n", + "46307 0.098684 0.314790 3607 \n", + "69220 0.366412 0.366412 2781 \n", + "69512 0.457143 0.495918 2967 \n", + "\n", + " Everyone in poverty dataset \\\n", + "861 2619 \n", + "6992 345 \n", + "4764 3634 \n", + "8901 215 \n", + "4403 4762 \n", + "23695 288 \n", + "46307 843 \n", + "69220 484 \n", + "69512 509 \n", + "\n", + " Everyone in poverty dataset, minus all university \\\n", + "861 1672 \n", + "6992 60 \n", + "4764 2943 \n", + "8901 86 \n", + "4403 1453 \n", + "23695 197 \n", + "46307 456 \n", + "69220 131 \n", + "69512 490 \n", + "\n", + " Population enrolled in an undergraduate, graduate, or professional program \\\n", + "861 947 \n", + "6992 285 \n", + "4764 691 \n", + "8901 129 \n", + "4403 3309 \n", + "23695 91 \n", + "46307 387 \n", + "69220 353 \n", + "69512 19 \n", + "\n", + " Percent enrollment in college or graduate school \\\n", + "861 0.732708 \n", + "6992 0.985262 \n", + "4764 0.566613 \n", + "8901 0.971063 \n", + "4403 0.876839 \n", + "23695 0.891873 \n", + "46307 0.889963 \n", + "69220 0.897723 \n", + "69512 0.848869 \n", + "\n", + " Population below poverty line enrolled in an undergraduate, graduate, or professional program \\\n", + "861 656 \n", + "6992 246 \n", + "4764 462 \n", + "8901 31 \n", + "4403 1310 \n", + "23695 57 \n", + "46307 211 \n", + "69220 331 \n", + "69512 0 \n", + "\n", + " Total population of individuals < 125% Federal Poverty Line \\\n", + "861 1782 \n", + "6992 297 \n", + "4764 1119 \n", + "8901 47 \n", + "4403 1517 \n", + "23695 72 \n", + "46307 316 \n", + "69220 373 \n", + "69512 72 \n", + "\n", + " Total population of individuals < 200% Federal Poverty Line \n", + "861 2128 \n", + "6992 297 \n", + "4764 1947 \n", + "8901 47 \n", + "4403 1878 \n", + "23695 102 \n", + "46307 432 \n", + "69220 401 \n", + "69512 243 " + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "uni_df = census_acs.loc[census_acs.GEOID10_TRACT.isin(uni_tracts)]\n", + "uni_df['school_name'] = uni_df.GEOID10_TRACT.apply(lambda x: uni_dict[x])\n", + "uni_df[['school_name', 'GEOID10_TRACT']+[x for x in cols_to_look_at if x!='GEOID10_TRACT']]\\\n", + " .sort_values(by='GEOID10_TRACT')" + ] + }, + { + "cell_type": "markdown", + "id": "81a238d4", + "metadata": {}, + "source": [ + "## Check nulls" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "71465e63", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "poverty_rate__production\n", + "Total nulls:703\n", + "Nulls in tracts with non-zero total population: 0\n", + "\n", + "\n", + "poverty_rate__unadjusted\n", + "Total nulls:703\n", + "Nulls in tracts with non-zero total population: 0\n", + "\n", + "\n", + "poverty_rate__blanket\n", + "Total nulls:0\n", + "Nulls in tracts with non-zero total population: 0\n", + "\n", + "\n", + "poverty_rate__interpolated\n", + "Total nulls:0\n", + "Nulls in tracts with non-zero total population: 0\n", + "\n", + "\n" + ] + } + ], + "source": [ + "for m in all_methods:\n", + " print(m)\n", + " print(f'Total nulls:{sum(census_acs[m].isna())}')\n", + " nonzero_nulls = sum(census_acs[census_acs[\"Total population\"]>0][m].isna())\n", + " print(f'Nulls in tracts with non-zero total population: {nonzero_nulls}')\n", + " print('\\n')" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "15ce9ae0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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statestate_fipsGEOID10_TRACT
0AL0101073001100
1AL0101073001400
2AL0101073002000
3AL0101073003802
4AL0101073004000
\n", + "
" + ], + "text/plain": [ + " state state_fips GEOID10_TRACT\n", + "0 AL 01 01073001100\n", + "1 AL 01 01073001400\n", + "2 AL 01 01073002000\n", + "3 AL 01 01073003802\n", + "4 AL 01 01073004000" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "state_to_fips_dict = {\n", + " 'WA': '53', 'DE': '10', 'DC': '11', 'WI': '55', 'WV': '54', 'HI': '15',\n", + " 'FL': '12', 'WY': '56', 'PR': '72', 'NJ': '34', 'NM': '35', 'TX': '48',\n", + " 'LA': '22', 'NC': '37', 'ND': '38', 'NE': '31', 'TN': '47', 'NY': '36',\n", + " 'PA': '42', 'AK': '02', 'NV': '32', 'NH': '33', 'VA': '51', 'CO': '08',\n", + " 'CA': '06', 'AL': '01', 'AR': '05', 'VT': '50', 'IL': '17', 'GA': '13',\n", + " 'IN': '18', 'IA': '19', 'MA': '25', 'AZ': '04', 'ID': '16', 'CT': '09',\n", + " 'ME': '23', 'MD': '24', 'OK': '40', 'OH': '39', 'UT': '49', 'MO': '29',\n", + " 'MN': '27', 'MI': '26', 'RI': '44', 'KS': '20', 'MT': '30', 'MS': '28',\n", + " 'SC': '45', 'KY': '21', 'OR': '41', 'SD': '46'\n", + "}\n", + "\n", + "territories_dict = {\n", + " '60': 'AS (American Samoa)',\n", + " '64': 'FM (Federated States of Micronesia)',\n", + " '66': 'GU (Guam)',\n", + " '68': 'MH (Marshall Islands)',\n", + " '69': 'MP (Commonwealth of the Northern Mariana Islands)',\n", + " '70': 'PW (Palau)',\n", + " '72': 'PR (Puerto Rico)',\n", + " '74': 'UM (U.S. Minor Outlying Islands)',\n", + " '78': 'VI (U.S. Virgin Islands)',\n", + " '81': 'Baker Island',\n", + " '84': 'Howland Island',\n", + " '86' : 'Jarvis Island',\n", + " '67' : 'Johnston Atoll',\n", + " '89' : 'Kingman Reef',\n", + " '71' : 'Midway Islands',\n", + " '76' : 'Navassa Island',\n", + " '95' : 'Palmyra Atoll',\n", + " '79' : 'Wake Island',\n", + " }\n", + "\n", + "fips_to_state_dict = {v:k for k,v in state_to_fips_dict.items()}\n", + "fips_to_state_dict.update(territories_dict)\n", + "\n", + "census_acs['state_fips']=census_acs['GEOID10_TRACT'].str[:2]\n", + "census_acs['state']=census_acs['state_fips'].map(fips_to_state_dict)\n", + "census_acs[['state', 'state_fips', 'GEOID10_TRACT']].head()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "57224ad9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['AL', 'AK', 'AZ', 'AR', 'CA', 'CO', 'CT', 'DE', 'DC', 'FL', 'GA',\n", + " 'HI', 'ID', 'IL', 'IN', 'IA', 'KS', 'KY', 'LA', 'ME', 'MD', 'MA',\n", + " 'MI', 'MN', 'MS', 'MO', 'MT', 'NE', 'NV', 'NH', 'NJ', 'NM', 'NY',\n", + " 'NC', 'ND', 'OH', 'OK', 'OR', 'PA', 'RI', 'SC', 'SD', 'TN', 'TX',\n", + " 'UT', 'VT', 'VA', 'WA', 'WV', 'WI', 'WY', 'PR (Puerto Rico)'],\n", + " dtype=object)" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "census_acs['state'].unique()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "71bdf857", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "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": "3.10.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/data/data-pipeline/data_pipeline/tests/sources/census_acs/__init__.py b/data/data-pipeline/data_pipeline/tests/sources/census_acs/__init__.py new file mode 100644 index 00000000..e69de29b diff --git a/data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/README.md b/data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/README.md new file mode 100644 index 00000000..ad2fc642 --- /dev/null +++ b/data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/README.md @@ -0,0 +1,25 @@ +# How to generate the sample data in this folder + +The sample data in this folder can be easily generated by debugging the `data_pipeline/etl/sources/census_acs/etl.py` file +and exporting data using the debugger console. Examples of this exporting are below. + +## Why in pickle format? + +Exporting as a Pickle file keeps all the metadata about the columns including the data types. If we were to export as CSV then we will need +to code the data types in the test fixtures for all the columns for the comparison to be correct. + +### Transform tests input files +- `acs_transform_input.pkl` - this file contains downloaded Census data that is used as input. +- `acs_transform_geojson.geojson` - this file contains the Census GeoJSON data that is used as input. +1. Place a breakpoint in `data_pipeline/etl/sources/census_acs/etl.py` in the `transform` method right at the beginning + and start the debugger running the ETL run command for Census ACS (`etl-run -d census_acs`). +1. Partially export the `self.df` and `self.geo_df` data to files once the debugger pauses at the breakpoint. Use these + sample commands in the debugger console. +```python +t_list = ['01073001100', '01073001400', '01073002000', '01073003802', '01073004000'] +self.geo_df[self.geo_df['GEOID10'].isin(t_list)].to_file('data_pipeline/tests/sources/census_acs/data/transform/acs_transform_geojson.geojson') +test_df = self.df[self.df['GEOID10_TRACT'].isin(t_list)].copy() +# Setting this one row to N/A allows the imputations code to succeed +test_df.at[4, self.OFFCAMPUS_UNIVERSITY_BELOW_POVERTY_UNDERGRADUATE] = pd.NA +test_df.to_pickle('data_pipeline/tests/sources/census_acs/data/transform/acs_transform_input.pkl') +``` \ No newline at end of file diff --git a/data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/acs_transform_geojson.geojson b/data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/acs_transform_geojson.geojson new file mode 100644 index 00000000..fa129d15 --- /dev/null +++ b/data/data-pipeline/data_pipeline/tests/sources/census_acs/data/transform/acs_transform_geojson.geojson @@ -0,0 +1,11 @@ +{ +"type": "FeatureCollection", +"crs": { "type": "name", "properties": { "name": "urn:ogc:def:crs:OGC:1.3:CRS84" } }, +"features": [ +{ "type": "Feature", "properties": { "STATEFP10": "01", "COUNTYFP10": "073", "TRACTCE10": "001400", "GEOID10": "01073001400", "NAME10": "14", "NAMELSAD10": "Census Tract 14", "MTFCC10": "G5020", "FUNCSTAT10": "S", "ALAND10": 2241287, "AWATER10": 0, "INTPTLAT10": "+33.5261497", "INTPTLON10": "-086.8351469" }, "geometry": { "type": "Polygon", "coordinates": [ [ [ -86.840884, 33.527586 ], [ -86.837824, 33.528871 ], [ -86.83693, 33.530023 ], [ -86.83679, 33.530205 ], [ -86.83639, 33.530805 ], [ -86.835352, 33.531179 ], [ -86.833843, 33.532003 ], [ -86.832035, 33.532595 ], [ -86.831245, 33.532854 ], [ -86.829135, 33.533924 ], [ -86.827029, 33.534708 ], [ -86.826575, 33.534968 ], [ -86.825634, 33.535508 ], [ -86.824369, 33.536271 ], [ 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zmM`5JE;8>uWB&}xr!GXp9mU9AHy!zIb7B*j!_F0SuI&nX$Xr2JPMKGuJzm=D&w5@u z?Rn-LV!2k9@mg7Sz{|{88bdD%%xdS21I2K0ai(k>ubPN<*DK}G_&Usw=O^+Vv3trv zX-8=wcDuAoP8+u`&U3po=q6N7=TrHu`RDWf;c6$9ljVBdq{CdlBZFq!*s0P;zAwM6 zb@NM6eCpdD=R!d2{CzOLl1Lk{y~X*`dko*)=cOp{a9s7>IXo>UOp= zdv@v4HrA|}c6>=YzN8&r(vB}_>x*aVJ*_+piP<&9?3!YBO)RhGs_e+n4`-iwKSAAx?J<@VsmT8IG<4e}@CFl5(b9~7;zT_NVa*i)K$CsSrOV05n=lGI~eOdnSzQYIhroF<^BZI?7 zlP5#iRgHfx9GSToe<~=2>#y}hsQK0S5xw+Cj4h9W(r-r08s_O6cA01Sbd>Lo z2Z0%MBx?ro!seGp^Vl~(O2&^3{Xkim3>tp&964p4l76FMetJA_J_r=XEB-_>T<2FR cQ)laiv6*S}4D}m9q2d>VN pd.DataFrame: + """ + Load the Census input data for the transform method tests. + + Returns: + Dataframe: the input data + """ + file = ( + Path(__file__).parents[0] + / "data" + / "transform" + / "acs_transform_input.pkl" + ) + return pd.read_pickle(file) + + +@pytest.fixture +def transform_census_geojson_fixture() -> gpd.GeoDataFrame: + """ + Load the Census GeoJSON input data for the transform method. + + Returns: + Dataframe: the Census GeoJSON input data + """ + file = ( + Path(__file__).parents[0] + / "data" + / "transform" + / "acs_transform_geojson.geojson" + ) + return gpd.read_file(file) + + +@pytest.fixture +def transformed_data_fixture( + transform_census_input_fixture: pd.DataFrame, + transform_census_geojson_fixture: gpd.GeoDataFrame, +) -> pd.DataFrame: + """ + Tranform the test input data. + + Returns: + DataFrame: the transformed data + """ + acs = CensusACSETL() + acs.df = transform_census_input_fixture + acs.geo_df = transform_census_geojson_fixture + acs.transform() + return acs.output_df + + +################# +# Transform tests +################# +def test_poverty_fields(transformed_data_fixture: pd.DataFrame): + result = transformed_data_fixture + + # Test that the poverty and collect fields were added. + acs = CensusACSETL() + fields_to_test = [ + acs.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME, + acs.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME, + ] + _check_fields_exist(result, fields_to_test) + + assert ( + result.iloc[0][acs.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME] + == 1743 + ) + assert ( + result.iloc[0][acs.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME] + == 700 + ) + + assert ( + result.iloc[1][acs.POVERTY_LESS_THAN_200_PERCENT_FPL_COUNT_FIELD_NAME] + == 941 + ) + assert ( + result.iloc[1][acs.POVERTY_LESS_THAN_100_PERCENT_FPL_COUNT_FIELD_NAME] + == 548 + ) + + +def test_college_undergrad_fields(transformed_data_fixture: pd.DataFrame): + result = transformed_data_fixture + + # Test that the poverty and collect fields were added. + acs = CensusACSETL() + fields_to_test = [ + acs.OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD, + acs.OFFCAMPUS_UNDERGRADUATE_FIELD, + acs.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD, + acs.OFFCAMPUS_UNIVERSITY_FIELD, + ] + _check_fields_exist(result, fields_to_test) + + assert result.iloc[0][acs.OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD] == 0 + assert result.iloc[0][acs.OFFCAMPUS_UNDERGRADUATE_FIELD] == 296 + assert result.iloc[0][acs.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD] == 44 + assert result.iloc[0][acs.OFFCAMPUS_UNIVERSITY_FIELD] == 340 + + assert result.iloc[1][acs.OFFCAMPUS_UNDERGRADUATE_POVERTY_FIELD] == 45 + assert result.iloc[1][acs.OFFCAMPUS_UNDERGRADUATE_FIELD] == 97 + assert result.iloc[1][acs.OFFCAMPUS_UNIVERSITY_POVERTY_FIELD] == 45 + assert result.iloc[1][acs.OFFCAMPUS_UNIVERSITY_FIELD] == 128 diff --git a/data/data-pipeline/data_pipeline/tests/sources/census_decennial/__init__.py b/data/data-pipeline/data_pipeline/tests/sources/census_decennial/__init__.py new file mode 100644 index 00000000..e69de29b