From e4a69047f3bf77fac92e7985728cdb0752270119 Mon Sep 17 00:00:00 2001 From: uva-bi-sdad <> Date: Thu, 7 Nov 2024 21:07:50 +0000 Subject: [PATCH] Update from https://github.com/uva-bi-sdad/sdc.all_dev/commit/957d2f6109bc0de579fa3fd95f8d906e51797ac9 --- data/measure_info_all.json | 56 +++--- docs/data_inventory_report.html | 2 +- docs/geographies_inventory_report.html | 2 +- docs/tests/test_code_exists.html | 2 +- docs/tests/test_data_columns.html | 174 +++++++++--------- docs/tests/test_data_percent.html | 2 +- docs/tests/test_file_name.html | 2 +- docs/tests/test_file_name_len.html | 2 +- .../test_measure_info_extra_measures.html | 12 +- docs/tests/test_measure_info_json.html | 2 +- docs/tests/test_measure_info_keys.html | 30 +-- .../test_measure_info_missing_measures.html | 60 +++--- 12 files changed, 173 insertions(+), 173 deletions(-) diff --git a/data/measure_info_all.json b/data/measure_info_all.json index 2f366b3a..19e03ff6 100644 --- a/data/measure_info_all.json +++ b/data/measure_info_all.json @@ -15381,10 +15381,10 @@ "data_type": "decimal", "equity_category": "Status", "layer": "", - "long_description": "Percentage of the population who reported any postsecondary education, according to the US Census American Community Survey 5-year estimates.", + "long_description": "Percentage of the population who reported any postsecondary education, according to the U.S. Census American Community Survey 5-year estimates.", "long_name": "Estimated Percentage of the Population With Any Postsecondary Education", "measure_type": "", - "short_description": "Percentage of the population who reported any postsecondary education, according to the US Census American Community Survey 5-year estimates.", + "short_description": "Percentage of the population who reported any postsecondary education.", "short_name": "Postsecondary Education (percent)", "sources": [ { @@ -17449,10 +17449,10 @@ "data_type": "numeric", "equity_category": "Status", "layer": "", - "long_description": "The Education Index measures the average education level achieved by the adult population in an area. This is based on the average years of schooling in an area. Geographies: Census tract (11)", + "long_description": "The Education Index measures the average education level achieved by the adult population in an area. This is based on the average years of schooling in an area. The calculation used to calculate the index can be found in (Bennett, D.L. Educational Inequailty in the United States: Methodology and Historical Estimates of Education Gini Coefficients. Econ. Modeling Microeconom. Stud. Health 2001). Higher educational attainment has been shown to have positive impacts on economic earning and positive health outcomes.", "long_name": "Education Index (Average Years of Schooling)", "measure_type": "average", - "short_description": "The Education Index measures the average education level achieved by the adult population in an area. This is based on the average years of schooling in an area. Geographies: Census tract (11)", + "short_description": "Education Index (Average Years of Schooling)", "short_name": "Average Years of Schooling", "sources": [ { @@ -18691,10 +18691,10 @@ "data_type": "decimal", "equity_category": "Status", "layer": "", - "long_description": "Earnings per job are calculated based on the GDP and Personal Income table for the Bureau of Economic Analysis (BEA). Earnings per job is the total earnings divided by total number of jobs. Total earnings is the sum of wages and salaries, supplements to wages and salaries, and proprietor\u2019s income. Wages and salaries refer to the monetary remuneration of employees; it includes compensation of corporate officers; commissions, tips, and bonuses, compensation plans, such as a 401(k) plans; and receipts in kind, or pay-in0kind, that represent income to the recipient. Supplements to wages and salaries consist of employer contributions for employee pension and insurance funds and employer contributions for government social insurance. The proprietor\u2019s income is the current-production income (including the income in kind) of sole proprietorships and partnerships and of tax-exempt cooperatives. Geographies: County(5), Health Districts (51_hd)", + "long_description": "Earnings per job is calculated based on the GDP and Personal Income table from the Bureau of Economic Analysis(BEA). Earnings per job is total earnings divided by total number of jobs. Total earnings is the sum of wages and salaries, supplements to wages and salaries, and proprietor\u2019s income. Wages and salaries refer to the monetary remuneration of employees; it includes compensation of corporate officers; commissions, tips, and bonuses, compensation plans, such as 401(k) plans; and receipts in kind, or pay-in-kind, that represent income to the recipient. Supplements to wages and salaries consists of employer contributions for employee pension and insurance funds and employer contributions for government social insurance. Proprietor\u2019s income is the current-production income (including the income in kind) of sole proprietorships and partnerships and of tax-exempt cooperatives.\n\nRaw data observations are generally per county/city; however, some observations involve multiple counties/cities. For example, Fairfax County, Fairfax City and Falls Church City are grouped into one observation in the raw data. We split the multi-county/city raw data observations into multiple observations so that one observation corresponds to only one county/city. We set the value of each split individual observation to be that of the corresponding raw multi-county/city observation.\n\nThese are the multi-county/city groupings in the raw data: Albemarle County, Charlottesville; Alleghany County, Covington; Augusta County, Staunton, Waynesboro; Campbell County, Lynchburg; Carroll County, Galax; Dinwiddie County, Colonial Heights, Petersburg; Fairfax County, Fairfax City, Falls Church; Frederick County, Winchester; Greensville County, Emporia; Henry County, Martinsville; James City County, Williamsburg; Montgomery County, Radford; Pittsylvania County, Danville; Prince George County, Hopewell; Prince William County, Manassas, Manassas Park; Roanoke County, Salem; Rockbridge County, Buena Vista, Lexington; Rockingham County, Harrisonburg; Southampton County, Franklin; Spotsylvania County, Fredericksburg; Washington County, Bristol; Wise County, Norton; York County, Poquoson.", "long_name": "Earnings per job", "measure_type": "", - "short_description": "Earnings per job are calculated based on the GDP and Personal Income table for the Bureau of Economic Analysis (BEA). Earnings per job is the total earnings divided by total number of jobs. Total earnings is the sum of wages and salaries, supplements to wages and salaries, and proprietor\u2019s income. Wages and salaries refer to the monetary remuneration of employees; it includes compensation of corporate officers; commissions, tips, and bonuses, compensation plans, such as a 401(k) plans; and receipts in kind, or pay-in0kind, that represent income to the recipient. Supplements to wages and salaries consist of employer contributions for employee pension and insurance funds and employer contributions for government social insurance. The proprietor\u2019s income is the current-production income (including the income in kind) of sole proprietorships and partnerships and of tax-exempt cooperatives. Geographies: County(5), Health Districts (51_hd)", + "short_description": "Average of earnings per job.", "short_name": "Earnings per job", "sources": [ { @@ -18772,10 +18772,10 @@ "data_type": "decimal", "equity_category": "Status", "layer": "", - "long_description": "Population, self-reported as employed, as a percentage of the total civilian workforce population. Geographies: Census Tract (11), County (5)", + "long_description": "Population self-reported as employed as a percentage of total civilian workforce population. Based on American Community Survey Table 2015/2019 5-year estimates.", "long_name": "Percentage civilian employed", "measure_type": "", - "short_description": "Population, self-reported as employed, as a percentage of the total civilian workforce population. Geographies: Census Tract (11), County (5)", + "short_description": "Population self-reported as employed as a percentage of total civilian workforce population.", "short_name": "Percentage employed", "sources": [ { @@ -21393,10 +21393,10 @@ "data_type": "decimal", "equity_category": "Status", "layer": "", - "long_description": "Median percentage of 3rd grade population passing a reading test, the median is calculated across schools in the region. Geographies: County (5)", + "long_description": "Median percentage of 3rd grade population passing reading test. The median is calculated across schools in the region.", "long_name": "Median percentage of 3rd graders passing reading test", "measure_type": "", - "short_description": "Median percentage of 3rd grade population passing a reading test, the median is calculated across schools in the region. Geographies: County (5)", + "short_description": "Median percentage of 3rd grade population passing reading test for schools in the region", "short_name": "Median 3rd graders passing reading", "sources": [ { @@ -28465,10 +28465,10 @@ }, "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "long_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", "long_name": "2-year schools per 100k people over 14", "measure_type": "", - "short_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "short_description": "Number of 2-year schools per 100k people over 14, calculated within floating catchment areas.", "short_name": "2-year schools", "sources": [ { @@ -28513,10 +28513,10 @@ }, "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "Minimal drive time to schools authorized to award Associates degrees or 2-year or longer certificates from the Census block group centroid, as calculated by the Open Source Routing Machine. School locations are from the National Center for Education Statistics. All distances are calculated at the block group level and then averaged up to higher-level geographies.", + "long_description": "Minimal drive time to a schools authorized to award Associates degrees or 2-year or longer certificates from the Census block group centroid, as calculated by the Open Source Routing Machine. School locations are from the National Center for Education Statistics. All distances are calculated at the block group level, then averaged up to higher-level geographies.", "long_name": "drive time to nearest 2-year school", "measure_type": "", - "short_description": "Minimal drive time to schools authorized to award Associates degrees or 2-year or longer certificates from the Census block group centroid, as calculated by the Open Source Routing Machine. School locations are from the National Center for Education Statistics. All distances are calculated at the block group level and then averaged up to higher-level geographies.", + "short_description": "Drive time to the nearest 2-year schools.", "short_name": "2-year school drive time", "sources": [ { @@ -28564,10 +28564,10 @@ ], "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with biomedical programs (any with Classification of Institutional Programs (CIP) codes starting with 26) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "long_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates with biomedical programs (any with Classification of Institutional Programs [CIP] codes starting with 26) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", "long_name": "2-year schools with biomedical programs per 100k people over 14", "measure_type": "", - "short_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with biomedical programs (any with Classification of Institutional Programs (CIP) codes starting with 26) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "short_description": "Number of 2-year schools with biomedical programs per 100k people over 14, calculated within floating catchment areas.", "short_name": "2-year schools with biomedical programs", "sources": [ { @@ -28622,10 +28622,10 @@ ], "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with computer programs (any with Classification of Institutional Programs (CIP) codes starting with 11) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "long_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates with science programs (any with Classification of Institutional Programs [CIP] codes starting with 11) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", "long_name": "2-year schools with computer programs per 100k people over 14", "measure_type": "", - "short_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with computer programs (any with Classification of Institutional Programs (CIP) codes starting with 11) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "short_description": "Number of 2-year schools with computer programs per 100k people over 14, calculated within floating catchment areas.", "short_name": "2-year schools with computer programs", "sources": [ { @@ -28680,10 +28680,10 @@ ], "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with engineering programs (any with Classification of Institutional Programs (CIP) codes starting with 14 or 15) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "long_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates with science programs (any with Classification of Institutional Programs [CIP] codes starting with 14 or 15) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", "long_name": "2-year schools with engineering programs per 100k people over 14", "measure_type": "", - "short_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with engineering programs (any with Classification of Institutional Programs (CIP) codes starting with 14 or 15) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "short_description": "Number of 2-year schools with engineering programs per 100k people over 14, calculated within floating catchment areas.", "short_name": "2-year schools with engineering programs", "sources": [ { @@ -28738,10 +28738,10 @@ ], "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with physical programs (any with Classification of Institutional Programs (CIP) codes starting with 40) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "long_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates with science programs (any with Classification of Institutional Programs [CIP] codes starting with 40) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", "long_name": "2-year schools with physical programs per 100k people over 14", "measure_type": "", - "short_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with physical programs (any with Classification of Institutional Programs (CIP) codes starting with 40) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "short_description": "Number of 2-year schools with physical programs per 100k people over 14, calculated within floating catchment areas.", "short_name": "2-year schools with physical programs", "sources": [ { @@ -28796,10 +28796,10 @@ ], "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with science programs (any with Classification of Institutional Programs (CIP) codes starting with 41) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "long_description": "Number of schools authorized to award Associates degrees or 2-year or longer certificates with science programs (any with Classification of Institutional Programs [CIP] codes starting with 41) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", "long_name": "2-year schools with science programs per 100k people over 14", "measure_type": "", - "short_description": "The number of schools authorized to award Associates degrees or 2-year or longer certificates with science programs (any with Classification of Institutional Programs (CIP) codes starting with 41) per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) qualifying 2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "short_description": "Number of 2-year schools with science programs per 100k people over 14, calculated within floating catchment areas.", "short_name": "2-year schools with science programs", "sources": [ { @@ -28993,10 +28993,10 @@ }, "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "The number of schools authorized to award certificates that are typically obtained in less than 2 years per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) <2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "long_description": "Number of schools authorized to award certificates that are typically obtained in less than 2 years per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) <2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", "long_name": "<2-year schools per 100k people over 14", "measure_type": "", - "short_description": "The number of schools authorized to award certificates that are typically obtained in less than 2 years per 100k people over 14, based on 3-step floating catchment areas defined by distance. Catchment areas were calculated using (a) <2-year schools as listed by the National Center for Education Statistics, with supply values of 1, (b) Census block groups, with supply values as the population over the age of 14 as reported by the American Community Survey 5-year summaries, and (c) distances between school locations and block group centroids, weighted by a Gaussian function with a scaling parameter set to 18, as calculated by the catchment R package.", + "short_description": "Number of <2-year schools per 100k people over 14, calculated within floating catchment areas.", "short_name": "<2-year schools", "sources": [ { @@ -29041,10 +29041,10 @@ }, "source": "https://raw.githubusercontent.com/uva-bi-sdad/sdc.education/main/Postsecondary/data/distribution/points_{time}.geojson" }, - "long_description": "Minimal drive time to schools authorized to award certificates that are typically obtained in less than 2 years from the Census block group centroid, as calculated by the Open Source Routing Machine. School locations are from the National Center for Education Statistics. All distances are calculated at the block group level and then averaged up to higher-level geographies.", + "long_description": "Minimal drive time to a schools authorized to award certificates that are typically obtained in less than 2 years from the Census block group centroid, as calculated by the Open Source Routing Machine. School locations are from the National Center for Education Statistics. All distances are calculated at the block group level, then averaged up to higher-level geographies.", "long_name": "drive time to nearest <2-year school", "measure_type": "", - "short_description": "Minimal drive time to schools authorized to award certificates that are typically obtained in less than 2 years from the Census block group centroid, as calculated by the Open Source Routing Machine. School locations are from the National Center for Education Statistics. All distances are calculated at the block group level and then averaged up to higher-level geographies.", + "short_description": "Drive time to the nearest <2-year schools.", "short_name": "<2-year school drive time", "sources": [ { diff --git a/docs/data_inventory_report.html b/docs/data_inventory_report.html index 2c799b06..f1df68f4 100644 --- a/docs/data_inventory_report.html +++ b/docs/data_inventory_report.html @@ -4,7 +4,7 @@ Data Inventory Report - Last updated: 2024-11-07 21:05:58 + Last updated: 2024-11-06 21:06:07

sdc.food

[INVENTORIED] Food Access/Food Accessibility Indicator (HOI): va_tr_usda_2015_2019_food_access_std.csv.xz

[INVENTORIED] Food Access/Healthy Food Availability: ncr_cttrbgca_sdad_2023_mrfei.csv.xz

diff --git a/docs/geographies_inventory_report.html b/docs/geographies_inventory_report.html index 88f96fd0..a42ab736 100644 --- a/docs/geographies_inventory_report.html +++ b/docs/geographies_inventory_report.html @@ -4,7 +4,7 @@ Data Inventory Report - Last updated: 2024-11-07 21:06:09 + Last updated: 2024-11-06 21:06:19

DC

[ADDED TO CSV] ./data/sdc.geographiesdc_geo_census_cb_2010_census_tracts.geojson

[ADDED TO CSV] ./data/sdc.geographiesdc_geo_census_cb_2020_census_tracts.geojson

diff --git a/docs/tests/test_code_exists.html b/docs/tests/test_code_exists.html index 25c6be1c..ef84617e 100644 --- a/docs/tests/test_code_exists.html +++ b/docs/tests/test_code_exists.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:03:09 + Last updated: 2024-11-06 16:03:12

sdc.food

[DISTRIBUTION DATA AND CODE]

data/sdc.food/Food Access/Food Accessibility Indicator (HOI)/data/distribution

diff --git a/docs/tests/test_data_columns.html b/docs/tests/test_data_columns.html index 160f484a..69a76b3c 100644 --- a/docs/tests/test_data_columns.html +++ b/docs/tests/test_data_columns.html @@ -7,72 +7,72 @@

- Last updated: 2024-11-07 16:03:31 + Last updated: 2024-11-06 16:03:36

sdc.food

[VALID] Food Access/Food Accessibility Indicator (HOI): va_tr_usda_2015_2019_food_access_std.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Access/Healthy Food Availability: ncr_cttrbgca_sdad_2023_mrfei.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Access/Healthy Food Availability: ncr_cttrbgca_sdad_2023_mrfei.csv.xz

[MISSING COLUMNS] ['moe'] Food Security/Feeding America/Children's Food Insecurity: va_hdct_fa_2014_2019_childrens_food_insecurity.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Children's Food Insecurity: va_hdct_fa_2014_2019_childrens_food_insecurity.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Children's Food Insecurity: va_hdct_fa_2014_2019_childrens_food_insecurity.csv.xz

[MISSING COLUMNS] ['moe'] Food Security/Feeding America/Children's Food Insecurity: ncr_ct_fa_2014_2019_childrens_food_insecurity.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Children's Food Insecurity: ncr_ct_fa_2014_2019_childrens_food_insecurity.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Children's Food Insecurity: ncr_ct_fa_2014_2019_childrens_food_insecurity.csv.xz

[MISSING COLUMNS] ['moe'] Food Security/Feeding America/Food Budget Shortfall: va_hdct_fa_2014_2019_food_budget_shortfall.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Food Budget Shortfall: va_hdct_fa_2014_2019_food_budget_shortfall.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Food Budget Shortfall: va_hdct_fa_2014_2019_food_budget_shortfall.csv.xz

[MISSING COLUMNS] ['moe'] Food Security/Feeding America/Food Budget Shortfall: ncr_ct_fa_2014_2019_food_budget_shortfall.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Food Budget Shortfall: ncr_ct_fa_2014_2019_food_budget_shortfall.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Food Budget Shortfall: ncr_ct_fa_2014_2019_food_budget_shortfall.csv.xz

[MISSING COLUMNS] ['moe'] Food Security/Feeding America/Food Secure Average Meal Cost: ncr_ct_fa_2014_2019_food_secure_avg_meal_cost.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Food Secure Average Meal Cost: ncr_ct_fa_2014_2019_food_secure_avg_meal_cost.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Food Secure Average Meal Cost: ncr_ct_fa_2014_2019_food_secure_avg_meal_cost.csv.xz

[MISSING COLUMNS] ['moe'] Food Security/Feeding America/Food Secure Average Meal Cost: va_hdct_fa_2014_2019_food_secure_avg_meal_cost.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Food Secure Average Meal Cost: va_hdct_fa_2014_2019_food_secure_avg_meal_cost.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Overall Food Insecurity: ncr_cttr_fa_2014_2020_overall_food_insecurity.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food Security/Feeding America/Overall Food Insecurity: va_hdcttr_fa_2014_2020_overall_food_insecurity.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Food Secure Average Meal Cost: va_hdct_fa_2014_2019_food_secure_avg_meal_cost.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Overall Food Insecurity: ncr_cttr_fa_2014_2020_overall_food_insecurity.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food Security/Feeding America/Overall Food Insecurity: va_hdcttr_fa_2014_2020_overall_food_insecurity.csv.xz

[MISSING COLUMNS] ['moe'] Food Security/Food Insecurity: ncr_tr_sdad_2022_food_insecurity.csv

[MISSING COLUMNS] ['moe'] Food Security/Food Insecurity: va059_tr_sdad_2022_food_insecurity_col_base_snap_food_shortfall.csv

[MISSING COLUMNS] ['moe'] Food Security/Food Insecurity: ncr_tr_sdad_2022_food_insecurity.csv.xz

[MISSING COLUMNS] ['moe'] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): va_hdcttrbg_acs_2013_2020_hh_receiving_snap.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): va_hdcttrbg_acs_2013_2020_hh_receiving_snap.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): va_hdcttrbg_acs_2013_2020_hh_receiving_snap.csv.xz

[MISSING COLUMNS] ['moe'] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): ncr_cttrbg_acs_2013_2020_hh_receiving_snap.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): ncr_cttrbg_acs_2013_2020_hh_receiving_snap.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): ncr_cttrbg_acs_2013_2020_hh_receiving_snap.csv.xz

sdc.demographics

[VALID] Age: va_hsrsdpdzccttrbg_sdad_2009_2021_age_demographics.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Age: ncr_cttrbg_acs_2009_2021_age_demographics.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Age: ncr_cttrbg_acs_2009_2021_age_demographics.csv.xz

[MISSING COLUMNS] ['moe'] Cooperative extension: va_ct_20172023_vote_youth.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_units', 'measure_type'] Cooperative extension: va_cttr_2010_2021_perc_male.csv.xz

-

[EXTRA COLUMNS] ['estimate', 'region_name', 'variable', 'region_type'] Cooperative extension: va_cttr_2010_2021_perc_children_raised_by_GPs.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Gender: ncr_cttrbg_acs_2009_2021_gender_demographics.csv.xz

+

[EXTRA COLUMNS] ['region_type', 'region_name', 'measure_type', 'measure_units'] Cooperative extension: va_cttr_2010_2021_perc_male.csv.xz

+

[EXTRA COLUMNS] ['region_type', 'region_name', 'variable', 'estimate'] Cooperative extension: va_cttr_2010_2021_perc_children_raised_by_GPs.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Gender: ncr_cttrbg_acs_2009_2021_gender_demographics.csv.xz

[VALID] Gender: va_hsrsdpdzccttrbg_sdad_2009_2021_gender_demographics.csv.xz

[VALID] Geographic Mobility (HOI): va_hdcttrbg_2015_2022_moving_demographics.csv.xz

[VALID] Geographic Mobility (HOI): va_cttrbg_acs_2015_2021_moving_demographics.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Language: ncr_cttrbg_acs_2016_2021_language_demographics.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Language: ncr_cttrbg_acs_2016_2021_language_demographics.csv.xz

[VALID] Language: va_hsrsdpdzccttrbg_sdad_2009_2021_language_demographics.csv.xz

[VALID] Overall: census.csv.xz

[VALID] Population Density: va_hdtrct_2015_2022_population_density.csv.xz

[VALID] Race: va_hsrsdpdzccttrbg_sdad_2009_2021_race_demographics.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Race: ncr_cttrbg_acs_2009_2021_race_demographics.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Race: ncr_cttrbg_acs_2009_2021_race_demographics.csv.xz

[VALID] Segregation (HOI): va_hdtrct_2015_2022_segregation_index_std.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Veteran: ncr_cttrbg_acs_2009_2021_veteran_demographics.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Veteran: ncr_cttrbg_acs_2009_2021_veteran_demographics.csv.xz

[VALID] Veteran: va_hsrsdpdzccttrbg_sdad_2009_2021_veteran_demographics.csv.xz

sdc.broadband

[VALID] Wired/Accessibility/Average Download Speed: ncr_cttrbg_ookla_download_speeds.csv.xz

[VALID] Wired/Accessibility/Average Upload Speed: ncr_cttrbg_ookla_upload_speeds.csv.xz

[MISSING COLUMNS] ['moe'] Wired/Accessibility/Number of devices: ncr_hdcttrbg_2019_2021q3_speed_measurements.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_units', 'measure_type'] Wired/Accessibility/Number of devices: ncr_hdcttrbg_2019_2021q3_speed_measurements.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type', 'Unnamed: 0', 'measure_units'] Wired/Accessibility/Percent Fast (internet-connected): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type', 'Unnamed: 0', 'measure_units'] Wired/Accessibility/Percent Fast (total): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type', 'Unnamed: 0', 'measure_units'] Wired/Accessibility/Percent Good (internet-connected): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type', 'Unnamed: 0', 'measure_units'] Wired/Accessibility/Percent Good (total): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

+

[EXTRA COLUMNS] ['region_type', 'region_name', 'measure_type', 'measure_units'] Wired/Accessibility/Number of devices: ncr_hdcttrbg_2019_2021q3_speed_measurements.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_units', 'Unnamed: 0', 'region_type', 'measure_type'] Wired/Accessibility/Percent Fast (internet-connected): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_units', 'Unnamed: 0', 'region_type', 'measure_type'] Wired/Accessibility/Percent Fast (total): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_units', 'Unnamed: 0', 'region_type', 'measure_type'] Wired/Accessibility/Percent Good (internet-connected): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_units', 'Unnamed: 0', 'region_type', 'measure_type'] Wired/Accessibility/Percent Good (total): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

[EXTRA COLUMNS] ['region_name', 'region_type'] Wired/Adoption/Computer Type: ncr_cttrbg_acs_2017_2021_hh_without_compdev.csv.xz

[EXTRA COLUMNS] ['region_name', 'region_type'] Wired/Adoption/Computer Type: va_hdcttrbg_acs_2017_2021_hh_without_compdev.csv.xz

[EXTRA COLUMNS] ['region_name', 'region_type'] Wired/Adoption/Internet Type: ncr_cttrbg_acs_2017_2021_hh_internet_type.csv.xz

[EXTRA COLUMNS] ['region_name', 'region_type'] Wired/Adoption/Internet Type: va_hdcttrbg_acs_2017_2021_hh_internet_type.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type', 'Unnamed: 0', 'measure_units'] Wired/Affordability/Percentage of income for fast internet: ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type', 'Unnamed: 0', 'measure_units'] Wired/Affordability/Percentage of income for good internet: ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type', 'Unnamed: 0', 'measure_units'] Wired/Affordability/Percentage of income for internet (average): ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_units', 'Unnamed: 0', 'region_type', 'measure_type'] Wired/Affordability/Percentage of income for fast internet: ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_units', 'Unnamed: 0', 'region_type', 'measure_type'] Wired/Affordability/Percentage of income for good internet: ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_units', 'Unnamed: 0', 'region_type', 'measure_type'] Wired/Affordability/Percentage of income for internet (average): ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

sdc.geographies

NA

sdc.housing

[VALID] Cost/Affordability_HT: va_hdcttr_2015_2021_affordability_index.csv.xz

[VALID] Cost/Affordability_HT: va_hdcttr_2015_2021_affordability_index_std.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Cost/Rent: ncr_cttr_hud_2022_housing_cost.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Cost/Rent: va_cttr_hud_2022_housing_cost.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Cost/Rent: ncr_cttr_hud_2022_housing_cost.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Cost/Rent: va_cttr_hud_2022_housing_cost.csv.xz

[VALID] Cost-burdened HHs: va_hdcttrbg_acs_2014_2021_cost_burdened_hhs.csv.xz

[VALID] Cost-burdened HHs: ncr_cttrbg_acs_2014_2021_cost_burdened_hhs.csv.xz

sdc.education

@@ -81,77 +81,77 @@

sdc.education

[VALID] Postsecondary: nces.csv.xz

[VALID] Postsecondary: acs.csv.xz

[MISSING COLUMNS] ['moe'] Reading: va_hdctsd_vdoe_2015_2021_3rd_grade_mean_read_score.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Reading: va_hdctsd_vdoe_2015_2021_3rd_grade_mean_read_score.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Reading: va_hdctsd_vdoe_2015_2021_3rd_grade_mean_read_score.csv.xz

[VALID] Years of Schooling: va_hdcttr_acs5_2015_2021_years_of_schooling.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Years of Schooling: ncr_tr_acs5_2017_2021_years_of_schooling.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Years of Schooling: ncr_tr_acs5_2017_2021_years_of_schooling.csv.xz

[VALID] Years of Schooling: va_hdtrct_acs5_2015_2021_years_of_schooling_std.csv.xz

sdc.health

[VALID] Access to Care (HOI): va_tr_2017_2021_care_access_indicator.csv.xz

-

[MISSING COLUMNS] ['measure', 'moe', 'value'] Access to Care (HOI): va_cnt_physician_lt_30mi_from_tract.csv

+

[MISSING COLUMNS] ['value', 'moe', 'measure'] Access to Care (HOI): va_cnt_physician_lt_30mi_from_tract.csv

[EXTRA COLUMNS] ['phys_30_cnt'] Access to Care (HOI): va_cnt_physician_lt_30mi_from_tract.csv

[VALID] Access to Care (HOI): va_tr_2017_2021_care_access_indicator_std.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Dentists/Service Catchment Scores: va_hdcttrbgca_webmd_2021_access_scores_dentists.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Dentists/Service Catchment Scores: va_hdcttrbgca_webmd_2021_access_scores_dentists.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Dentists/Service Catchment Scores: va_hdcttrbgca_webmd_2021_access_scores_dentists.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Dentists/Service Catchment Scores: ncr_cttrbg_webmd_2021_access_scores_dentists.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Dentists/Service Catchment Scores: ncr_cttrbg_webmd_2021_access_scores_dentists.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Dentists/Service Catchment Scores: ncr_cttrbg_webmd_2021_access_scores_dentists.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Drug and Rehab/Service Catchment Scores: ncr_cttrbg_samhsa_2021_access_scores_substance.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Drug and Rehab/Service Catchment Scores: ncr_cttrbg_samhsa_2021_access_scores_substance.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Drug and Rehab/Service Catchment Scores: ncr_cttrbg_samhsa_2021_access_scores_substance.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Drug and Rehab/Service Catchment Scores: va_hdcttrbgca_samhsa_2021_access_scores_substance.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Drug and Rehab/Service Catchment Scores: va_hdcttrbgca_samhsa_2021_access_scores_substance.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Drug and Rehab/Service Catchment Scores: va_hdcttrbgca_samhsa_2021_access_scores_substance.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/EMS/Service Catchment Scores: ncr_cttrbg_hifld_2021_access_scores_ems.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/EMS/Service Catchment Scores: ncr_cttrbg_hifld_2021_access_scores_ems.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/EMS/Service Catchment Scores: ncr_cttrbg_hifld_2021_access_scores_ems.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/EMS/Service Catchment Scores: va_hdcttrbgca_hifld_2021_access_scores_ems.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/EMS/Service Catchment Scores: va_hdcttrbgca_hifld_2021_access_scores_ems.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/EMS/Service Catchment Scores: va_hdcttrbgca_hifld_2021_access_scores_ems.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Health Professionals/VA Graduates: va_ct_schev_2016_2019_health_degrees_awarded.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Health Professionals/VA Graduates: va_ct_schev_2016_2019_health_degrees_awarded.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Health Professionals/VA Graduates: va_ct_schev_2016_2019_health_degrees_awarded.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Health Professionals/VA Graduates: va_ahec_schev_2016_2019_health_degrees_awarded.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Health Professionals/VA Graduates: va_ahec_schev_2016_2019_health_degrees_awarded.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Health Professionals/VA Graduates: va_ahec_schev_2016_2019_health_degrees_awarded.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Health Professionals/VA Graduates: va_hd_schev_2016_2019_health_degrees_awarded.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Health Professionals/VA Graduates: va_hd_schev_2016_2019_health_degrees_awarded.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Health Professionals/VA Graduates: va_hd_schev_2016_2019_health_degrees_awarded.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2021_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2021_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2021_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2017_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2017_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2017_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2015_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2015_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2015_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2020_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2020_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2020_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2016_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2016_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2016_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2022_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2022_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2022_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2019_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2019_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2019_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: va_hdcttrbgca_hifld_2021_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: va_hdcttrbgca_hifld_2021_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: va_hdcttrbgca_hifld_2021_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2018_access_scores_hospitals.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2018_access_scores_hospitals.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2018_access_scores_hospitals.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Mental Health/Service Access Scores: va_hdcttrbgca_samhsa_2021_access_scores_mental.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Mental Health/Service Access Scores: va_hdcttrbgca_samhsa_2021_access_scores_mental.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Mental Health/Service Access Scores: va_hdcttrbgca_samhsa_2021_access_scores_mental.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Mental Health/Service Access Scores: ncr_cttrbg_samhsa_2021_access_scores_mental.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Mental Health/Service Access Scores: ncr_cttrbg_samhsa_2021_access_scores_mental.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Mental Health/Service Access Scores: ncr_cttrbg_samhsa_2021_access_scores_mental.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_obgyn.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_obgyn.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_obgyn.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Physicians/OB-GYN/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_obgyn.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Physicians/OB-GYN/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_obgyn.csv.xz

-

[MISSING COLUMNS] ['measure', 'year', 'moe', 'geoid', 'value'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv.xz

-

[EXTRA COLUMNS] ['variable', 'desc', 'weighted_mean'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv.xz

-

[MISSING COLUMNS] ['measure', 'year', 'moe', 'geoid', 'value'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv

-

[EXTRA COLUMNS] ['variable', 'desc', 'weighted_mean'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Physicians/OB-GYN/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_obgyn.csv.xz

+

[MISSING COLUMNS] ['moe', 'geoid', 'measure', 'value', 'year'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv.xz

+

[EXTRA COLUMNS] ['weighted_mean', 'desc', 'variable'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv.xz

+

[MISSING COLUMNS] ['moe', 'geoid', 'measure', 'value', 'year'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv

+

[EXTRA COLUMNS] ['weighted_mean', 'desc', 'variable'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv

[VALID] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_cms_2022_obgyn_access_scores.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Physicians/Pediatric/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_pediatrics.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Physicians/Pediatric/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_pediatrics.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Physicians/Pediatric/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_pediatrics.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Physicians/Pediatric/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_pediatrics.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Physicians/Pediatric/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_pediatrics.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Physicians/Pediatric/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_pediatrics.csv.xz

[VALID] Health Care Services/Physicians/Pediatric/Service Access Scores: va059_webmd_2022_pediatricians_access_scores.csv.xz

-

[MISSING COLUMNS] ['measure', 'year', 'moe', 'geoid', 'value'] Health Care Services/Physicians/Pediatric/Service Access Scores: va059_weighted_access_scores_pediatrician.csv

+

[MISSING COLUMNS] ['moe', 'geoid', 'measure', 'value', 'year'] Health Care Services/Physicians/Pediatric/Service Access Scores: va059_weighted_access_scores_pediatrician.csv

[EXTRA COLUMNS] ['weighted_mean', 'desc'] Health Care Services/Physicians/Pediatric/Service Access Scores: va059_weighted_access_scores_pediatrician.csv

[MISSING COLUMNS] ['moe'] Health Care Services/Physicians/Primary Care/Service Access Scores: ncr_cttrbg_webmd_2021_acccess_scores_primcare.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Physicians/Primary Care/Service Access Scores: ncr_cttrbg_webmd_2021_acccess_scores_primcare.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Physicians/Primary Care/Service Access Scores: ncr_cttrbg_webmd_2021_acccess_scores_primcare.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Physicians/Primary Care/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_primcare.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Physicians/Primary Care/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_primcare.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Physicians/Primary Care/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_primcare.csv.xz

[MISSING COLUMNS] ['moe'] Health Care Services/Urgent Care Centers/Service Access Scores: ncr_bgtrct_gmap_2022_access_scores_urgent_care_centers.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Health Care Services/Urgent Care Centers/Service Access Scores: ncr_bgtrct_gmap_2022_access_scores_urgent_care_centers.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Health Care Services/Urgent Care Centers/Service Access Scores: ncr_bgtrct_gmap_2022_access_scores_urgent_care_centers.csv.xz

[VALID] Population Health/Health Opportunity Index: consumer_opportunity_indicator_2016_quintile.csv.xz

[VALID] Population Health/Health Opportunity Index: va_tr_vdh_2017_2020_food_accessibility_index.csv.xz

[VALID] Population Health/Health Opportunity Index: wellness_disparity_indicator_2016_quintile.csv.xz

@@ -182,28 +182,28 @@

sdc.health

[VALID] Population Health/Health Opportunity Index: va_hdcttr_vdh_2017_2020_walkability_index.csv.xz

[VALID] Population Health/Mental Health/Mental and Physical Healthy Days: va_trcthd_sdad_2015_2019_brfss_sae.csv.xz

[MISSING COLUMNS] ['moe'] Population Health/Mental Health/Mental and Physical Healthy Days: ncr_trct_sdad_2015_2019_brfss_sae.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Population Health/Mental Health/Mental and Physical Healthy Days: ncr_trct_sdad_2015_2019_brfss_sae.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Population Health/Mental Health/Mental and Physical Healthy Days: ncr_trct_sdad_2015_2019_brfss_sae.csv.xz

[MISSING COLUMNS] ['moe'] Population Health/Reproductive Health/Prenatal Care Adequacy: va_ct_nchs_2014_2020_kotelchuck.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Population Health/Reproductive Health/Prenatal Care Adequacy: va_ct_nchs_2014_2020_kotelchuck.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Population Health/Reproductive Health/Prenatal Care Adequacy: va_ct_nchs_2014_2020_kotelchuck.csv.xz

[MISSING COLUMNS] ['moe'] Population Health/Social Vulnerability Index: va_cttr_2014_2020_social_vulnerability_index.csv.xz

[EXTRA COLUMNS] ['measure_type'] Population Health/Social Vulnerability Index: va_cttr_2014_2020_social_vulnerability_index.csv.xz

[MISSING COLUMNS] ['moe'] Population Health/Substance Abuse/Drug Overdose ED Visits: va_hdct_vdh_2015_2021_drug_overdose_ed_visits.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_units', 'measure_type'] Population Health/Substance Abuse/Drug Overdose ED Visits: va_hdct_vdh_2015_2021_drug_overdose_ed_visits.csv.xz

+

[EXTRA COLUMNS] ['region_type', 'region_name', 'measure_type', 'measure_units'] Population Health/Substance Abuse/Drug Overdose ED Visits: va_hdct_vdh_2015_2021_drug_overdose_ed_visits.csv.xz

[MISSING COLUMNS] ['moe'] Population Health/System Usage and Insurance/Preventable Hospitalizations: va_hdct_2015_2021_preventable_hospitalizations.csv.xz

[EXTRA COLUMNS] ['measure_type'] Population Health/System Usage and Insurance/Preventable Hospitalizations: va_hdct_2015_2021_preventable_hospitalizations.csv.xz

[MISSING COLUMNS] ['moe'] Population Health/System Usage and Insurance/Without Health Insurance: ncr_cttrbg_acs5_2015_2019_no_health_insurance_19_to_64.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Population Health/System Usage and Insurance/Without Health Insurance: ncr_cttrbg_acs5_2015_2019_no_health_insurance_19_to_64.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Population Health/System Usage and Insurance/Without Health Insurance: ncr_cttrbg_acs5_2015_2019_no_health_insurance_19_to_64.csv.xz

[MISSING COLUMNS] ['moe'] Population Health/System Usage and Insurance/Without Health Insurance: va_hdcttr_acs5_2015_2019_no_health_insurance_19_to_64.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Population Health/System Usage and Insurance/Without Health Insurance: va_hdcttr_acs5_2015_2019_no_health_insurance_19_to_64.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Population Health/System Usage and Insurance/Without Health Insurance: va_hdcttr_acs5_2015_2019_no_health_insurance_19_to_64.csv.xz

sdc.transportation

[VALID] Infrastructure/Walkability (HOI): va_hdcttr_2021_walkability_index.csv.xz

[MISSING COLUMNS] ['moe'] Population Characteristics: ncr_cttr_acs_2016_2020_carpools.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_units', 'measure_type'] Population Characteristics: ncr_cttr_acs_2016_2020_carpools.csv.xz

+

[EXTRA COLUMNS] ['region_type', 'region_name', 'measure_type', 'measure_units'] Population Characteristics: ncr_cttr_acs_2016_2020_carpools.csv.xz

[MISSING COLUMNS] ['moe'] Population Characteristics: ncr_cttr_acs_2016_2020_commutes.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_units', 'measure_type'] Population Characteristics: ncr_cttr_acs_2016_2020_commutes.csv.xz

+

[EXTRA COLUMNS] ['region_type', 'region_name', 'measure_type', 'measure_units'] Population Characteristics: ncr_cttr_acs_2016_2020_commutes.csv.xz

[MISSING COLUMNS] ['moe'] Population Characteristics: ncr_cttr_acs_2016_2020_vehicles.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_units', 'measure_type'] Population Characteristics: ncr_cttr_acs_2016_2020_vehicles.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Population Characteristics: va_cttr_2010_2021_perc_no_car_households.csv.xz

+

[EXTRA COLUMNS] ['region_type', 'region_name', 'measure_type', 'measure_units'] Population Characteristics: ncr_cttr_acs_2016_2020_vehicles.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Population Characteristics: va_cttr_2010_2021_perc_no_car_households.csv.xz

sdc.business_climate

[VALID] Business_characteristics/Industry: rva_cttrbg_mi_2010_2020_business_metrics_by_Industry.csv.xz

[VALID] Business_characteristics/Industry: va059_cttrbg_mi_2010_2020_business_metrics_by_Industry.csv.xz

@@ -242,35 +242,35 @@

sdc.business_climate

sdc.financial_well_being

[EXTRA COLUMNS] ['measure_type'] Asset Limited Income Constrained Employed (ALICE): va_ct_2010_2021_alice.csv.xz

[VALID] Employment: va_hdcttr_2015_2022_labor_participate_rate_std.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Employment: ncr_cttr_2015_2021_job_participate_rate.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Employment: ncr_cttr_2015_2021_employment_rate.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Employment: ncr_cttr_2015_2021_job_participate_rate.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Employment: ncr_cttr_2015_2021_employment_rate.csv.xz

[VALID] Employment: va_cttr_acs_2015_2019_emp_rate.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Employment: va_cttr_2015_2021_employment_rate.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Employment: va_cttr_2015_2021_employment_rate.csv.xz

[VALID] Employment: va_hdcttr_2015_2022_labor_participate_rate.csv.xz

[VALID] Employment Access: va_hdcttr_2015_2021_employment_access_index.csv.xz

[VALID] Employment Access: va_hdcttr_2015_2021_employment_access_index_std.csv.xz

[VALID] Material_Deprivation: va_hdcttr_vdh_2015_2021_material_deprivation_index.csv.xz

[VALID] Material_Deprivation: va_hdcttr_vdh_2015_2021_material_deprivation_index_std.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Pay and Benefits/Household Income: ncr_cttrbg_2015_2021_median_household_income.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Pay and Benefits/Household Income: ncr_cttrbg_2015_2019_median_household_income.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Pay and Benefits/Household Income: va_cttrbg_2015_2019_median_household_income.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Pay and Benefits/Income Inequality: ncr_cttr_2015_2021_income_inequality_gini_index.csv.xz

-

[MISSING COLUMNS] ['measure', 'year', 'moe', 'geoid', 'value'] Pay and Benefits/Income Inequality: occ_codes.csv

-

[EXTRA COLUMNS] ['OCCP_text', 'OCCP'] Pay and Benefits/Income Inequality: occ_codes.csv

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Pay and Benefits/Household Income: ncr_cttrbg_2015_2021_median_household_income.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Pay and Benefits/Household Income: ncr_cttrbg_2015_2019_median_household_income.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Pay and Benefits/Household Income: va_cttrbg_2015_2019_median_household_income.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Pay and Benefits/Income Inequality: ncr_cttr_2015_2021_income_inequality_gini_index.csv.xz

+

[MISSING COLUMNS] ['moe', 'geoid', 'measure', 'value', 'year'] Pay and Benefits/Income Inequality: occ_codes.csv

+

[EXTRA COLUMNS] ['OCCP', 'OCCP_text'] Pay and Benefits/Income Inequality: occ_codes.csv

[VALID] Pay and Benefits/Income Inequality: va_hdcttr_2015_2021_income_inequality_gini_index.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Pay and Benefits/Income Inequality: va_cttr_2015_2021_income_inequality_gini_index.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Pay and Benefits/Income Inequality: va_cttr_2015_2021_income_inequality_gini_index.csv.xz

[VALID] Pay and Benefits/Income Inequality: va_hdcttr_2015_2021_income_inequality_gini_index_std.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] Pay and Benefits/Personal Income: va_hdct_bea_2015_2021_earnings_per_job.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] Pay and Benefits/Personal Income: va_hdct_bea_2015_2021_earnings_per_job.csv.xz

[VALID] Poverty: va059_tr_acs_2021_poverty_demographics.csv.xz

[VALID] Poverty: ncr_tr_acs_2021_poverty_children.csv.xz

[VALID] Poverty: ncr_tr_acs_2021_poverty_adults.csv.xz

sdc.environment

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] climate_change: ncr_tr_fema_2019_natural_hazards_risk_scores.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] climate_change: ncr_tr_fema_2019_natural_hazards_risk_scores.csv.xz

[VALID] environmental_justice: va_tr_2020_env_haz_inx.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] environmental_justice: ncr_bg_epa_2022_environmental_justice_screen.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] environmental_justice: ncr_bg_epa_2022_environmental_justice_screen.csv.xz

[VALID] environmental_justice: va_tr_2019_env_haz_inx.csv.xz

[VALID] environmental_justice: va_tr_2016_env_haz_inx.csv.xz

-

[EXTRA COLUMNS] ['region_name', 'region_type', 'measure_type'] environmental_justice: ncr_tr_epa_2022_environmental_justice_screen.csv.xz

+

[EXTRA COLUMNS] ['region_name', 'measure_type', 'region_type'] environmental_justice: ncr_tr_epa_2022_environmental_justice_screen.csv.xz

[VALID] environmental_justice: va_tr_2018_env_haz_inx.csv.xz

[VALID] environmental_justice: va_tr_2021_env_haz_inx.csv.xz

[VALID] environmental_justice: va_tr_2017_env_haz_inx.csv.xz

diff --git a/docs/tests/test_data_percent.html b/docs/tests/test_data_percent.html index be80179b..db603232 100644 --- a/docs/tests/test_data_percent.html +++ b/docs/tests/test_data_percent.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:03:58 + Last updated: 2024-11-06 16:04:04

sdc.food

[ERROR - INVALID RANGE] Food Access/Food Accessibility Indicator (HOI): va_tr_usda_2015_2019_food_access_std.csv.xz, food_access_percentage_geo20

[VALID] Food Security/Feeding America/Children's Food Insecurity: va_hdct_fa_2014_2019_childrens_food_insecurity.csv.xz, Child_Food_Insecurity_Rate

diff --git a/docs/tests/test_file_name.html b/docs/tests/test_file_name.html index 1b2c0505..0b0af886 100644 --- a/docs/tests/test_file_name.html +++ b/docs/tests/test_file_name.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:03:58 + Last updated: 2024-11-06 16:04:04

sdc.food

[VALID] Food Access/Food Accessibility Indicator (HOI): va_tr_usda_2015_2019_food_access_std.csv.xz

[VALID] Food Access/Food Accessibility Indicator (HOI): measure_info.json

diff --git a/docs/tests/test_file_name_len.html b/docs/tests/test_file_name_len.html index bf5203de..1473f99e 100644 --- a/docs/tests/test_file_name_len.html +++ b/docs/tests/test_file_name_len.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:03:59 + Last updated: 2024-11-06 16:04:04

sdc.food

[VALID] va_tr_usda_2015_2019_food_access_std.csv.xz

[VALID] ncr_cttrbgca_sdad_2023_mrfei.csv.xz

diff --git a/docs/tests/test_measure_info_extra_measures.html b/docs/tests/test_measure_info_extra_measures.html index a02ace3d..163fe111 100644 --- a/docs/tests/test_measure_info_extra_measures.html +++ b/docs/tests/test_measure_info_extra_measures.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:04:25 + Last updated: 2024-11-06 16:04:32

sdc.food

[VALID] Food Access/Food Accessibility Indicator (HOI): measure_info.json

[VALID] Food Access/Healthy Food Availability: measure_info.json

@@ -54,7 +54,7 @@

sdc.education

[VALID] Years of Schooling: measure_info.json

sdc.health

[ERROR - NO MEASURE COLUMN] Access to Care (HOI): va_cnt_physician_lt_30mi_from_tract.csv

-

[EXTRA MEASURES] ['air_quality_indicator', 'income_inequality_indicator', 'pop_churning_indicator', 'food_accessibility_indicator', 'walkability_indicator', 'wellness_disparity_indicator', 'health_opportunity_indicator', 'community_environment_indicator', 'segregation_indicator_old', 'education_indicator', 'consumer_opportunity_indicator', 'job_participation_indicator', 'employment_access_indicator', 'pop_density_indicator_old', 'affordability_indicator', 'economic_opportunity_indicator'] Access to Care (HOI): measure_info.json

+

[EXTRA MEASURES] ['pop_churning_indicator', 'pop_density_indicator_old', 'wellness_disparity_indicator', 'employment_access_indicator', 'walkability_indicator', 'health_opportunity_indicator', 'job_participation_indicator', 'segregation_indicator_old', 'education_indicator', 'consumer_opportunity_indicator', 'economic_opportunity_indicator', 'air_quality_indicator', 'income_inequality_indicator', 'affordability_indicator', 'community_environment_indicator', 'food_accessibility_indicator'] Access to Care (HOI): measure_info.json

[VALID] Health Care Services/Dentists/Service Catchment Scores: measure_info.json

[VALID] Health Care Services/Drug and Rehab/Service Catchment Scores: measure_info.json

[VALID] Health Care Services/EMS/Service Catchment Scores: measure_info.json

@@ -71,7 +71,7 @@

sdc.health

[VALID] Health Care Services/Physicians/Pediatric/Service Access Scores: measure_info.json

[VALID] Health Care Services/Physicians/Primary Care/Service Access Scores: measure_info.json

[VALID] Health Care Services/Urgent Care Centers/Service Access Scores: measure_info.json

-

[EXTRA MEASURES] ['access_care_indicator', 'segregation_indicator_old', 'income_inequality_indicator', 'pop_churning_indicator', 'job_participation_indicator', 'employment_access_indicator', 'pop_density_indicator_old', 'affordability_indicator', 'education_indicator'] Population Health/Health Opportunity Index: measure_info.json

+

[EXTRA MEASURES] ['pop_churning_indicator', 'pop_density_indicator_old', 'education_indicator', 'employment_access_indicator', 'income_inequality_indicator', 'job_participation_indicator', 'segregation_indicator_old', 'affordability_indicator', 'access_care_indicator'] Population Health/Health Opportunity Index: measure_info.json

[VALID] Population Health/Mental Health/Mental and Physical Healthy Days: measure_info.json

[VALID] Population Health/Reproductive Health/Prenatal Care Adequacy: measure_info.json

[VALID] Population Health/Social Vulnerability Index: measure_info.json

@@ -84,10 +84,10 @@

sdc.transportation

[VALID] Infrastructure: measure_info.json

[VALID] Population Characteristics: measure_info.json

sdc.business_climate

-

[EXTRA MEASURES] ['NAICS54_perc_soloproprio', 'NAICS99_perc_soloproprio', 'NAICS81_perc_small', 'NAICS44_45_soloproprio_business', 'NAICS21_soloproprio_business', 'NAICS53_small_business', 'NAICS21_small_business', 'NAICS62_perc_small', 'NAICS31_33_small_business', 'NAICS48_49_small_business', 'NAICS92_perc_soloproprio', 'NAICS53_soloproprio_business', 'NAICS62_small_business', 'NAICS52_perc_soloproprio', 'NAICS92_perc_small', 'NAICS21_perc_soloproprio', 'NAICS81_soloproprio_business', 'NAICS31_33_soloproprio_business', 'NAICS48_49_perc_soloproprio', 'NAICS62_perc_soloproprio', 'NAICS51_perc_small', 'NAICS99_perc_small', 'NAICS72_perc_small', 'NAICS48_49_perc_small', 'NAICS53_perc_soloproprio', 'NAICS55_small_business', 'NAICS52_small_business', 'NAICS55_perc_soloproprio', 'NAICS48_49_soloproprio_business', 'NAICS11_small_business', 'NAICS23_small_business', 'NAICS21_perc_small', 'NAICS99_soloproprio_business', 'NAICS44_45_perc_soloproprio', 'NAICS42_perc_small', 'NAICS53_perc_small', 'NAICS22_perc_soloproprio', 'NAICS31_33_perc_small', 'NAICS92_soloproprio_business', 'NAICS42_perc_soloproprio', 'NAICS61_small_business', 'NAICS56_small_business', 'NAICS92_small_business', 'NAICS54_perc_small', 'NAICS42_small_business', 'NAICS62_soloproprio_business', 'NAICS31_33_perc_soloproprio', 'NAICS44_45_perc_small', 'NAICS71_perc_small', 'NAICS71_small_business', 'NAICS99_small_business', 'NAICS51_small_business', 'NAICS56_soloproprio_business', 'NAICS71_soloproprio_business', 'NAICS11_perc_soloproprio', 'NAICS61_perc_soloproprio', 'NAICS23_perc_small', 'NAICS42_soloproprio_business', 'NAICS81_perc_soloproprio', 'NAICS51_soloproprio_business', 'NAICS56_perc_small', 'NAICS71_perc_soloproprio', 'NAICS55_soloproprio_business', 'NAICS51_perc_soloproprio', 'NAICS55_perc_small', 'NAICS61_perc_small', 'NAICS22_soloproprio_business', 'NAICS23_perc_soloproprio', 'NAICS52_soloproprio_business', 'NAICS11_perc_small', 'NAICS72_soloproprio_business', 'NAICS72_perc_soloproprio', 'NAICS52_perc_small', 'NAICS22_perc_small', 'NAICS81_small_business', 'NAICS11_soloproprio_business', 'NAICS61_soloproprio_business', 'NAICS54_small_business', 'NAICS54_soloproprio_business', 'NAICS56_perc_soloproprio', 'NAICS72_small_business', 'NAICS22_small_business', 'NAICS44_45_small_business', 'NAICS23_soloproprio_business'] Business_characteristics/Industry: measure_info.json

+

[EXTRA MEASURES] ['NAICS48_49_soloproprio_business', 'NAICS21_soloproprio_business', 'NAICS42_perc_soloproprio', 'NAICS44_45_small_business', 'NAICS62_soloproprio_business', 'NAICS56_small_business', 'NAICS52_soloproprio_business', 'NAICS99_small_business', 'NAICS53_perc_soloproprio', 'NAICS22_perc_soloproprio', 'NAICS55_perc_soloproprio', 'NAICS22_small_business', 'NAICS55_perc_small', 'NAICS54_perc_small', 'NAICS11_small_business', 'NAICS21_perc_soloproprio', 'NAICS72_perc_small', 'NAICS54_soloproprio_business', 'NAICS11_perc_soloproprio', 'NAICS31_33_soloproprio_business', 'NAICS71_perc_soloproprio', 'NAICS42_soloproprio_business', 'NAICS92_perc_small', 'NAICS23_soloproprio_business', 'NAICS81_perc_small', 'NAICS99_perc_small', 'NAICS42_small_business', 'NAICS72_soloproprio_business', 'NAICS21_perc_small', 'NAICS71_soloproprio_business', 'NAICS31_33_perc_soloproprio', 'NAICS56_perc_soloproprio', 'NAICS61_perc_soloproprio', 'NAICS51_small_business', 'NAICS62_perc_soloproprio', 'NAICS51_perc_small', 'NAICS23_perc_soloproprio', 'NAICS42_perc_small', 'NAICS53_perc_small', 'NAICS55_soloproprio_business', 'NAICS99_soloproprio_business', 'NAICS48_49_perc_small', 'NAICS81_small_business', 'NAICS44_45_perc_soloproprio', 'NAICS53_soloproprio_business', 'NAICS22_perc_small', 'NAICS22_soloproprio_business', 'NAICS51_perc_soloproprio', 'NAICS92_perc_soloproprio', 'NAICS23_small_business', 'NAICS44_45_soloproprio_business', 'NAICS11_soloproprio_business', 'NAICS48_49_perc_soloproprio', 'NAICS51_soloproprio_business', 'NAICS61_soloproprio_business', 'NAICS52_perc_soloproprio', 'NAICS11_perc_small', 'NAICS52_perc_small', 'NAICS92_soloproprio_business', 'NAICS23_perc_small', 'NAICS21_small_business', 'NAICS99_perc_soloproprio', 'NAICS72_perc_soloproprio', 'NAICS71_perc_small', 'NAICS61_perc_small', 'NAICS62_small_business', 'NAICS62_perc_small', 'NAICS92_small_business', 'NAICS31_33_perc_small', 'NAICS61_small_business', 'NAICS44_45_perc_small', 'NAICS55_small_business', 'NAICS71_small_business', 'NAICS31_33_small_business', 'NAICS72_small_business', 'NAICS53_small_business', 'NAICS56_soloproprio_business', 'NAICS56_perc_small', 'NAICS81_perc_soloproprio', 'NAICS48_49_small_business', 'NAICS81_soloproprio_business', 'NAICS54_perc_soloproprio', 'NAICS54_small_business', 'NAICS52_small_business'] Business_characteristics/Industry: measure_info.json

[VALID] Business_characteristics/Industry_Minority_owned: measure_info.json

-

[EXTRA MEASURES] ['non_minority_owned_perc_soloproprio', 'non_minority_owned_soloproprio_business', 'non_minority_owned_small_business', 'non_minority_owned_perc_small', 'minority_owned_perc_soloproprio', 'minority_owned_perc_small', 'minority_owned_soloproprio_business', 'minority_owned_small_business'] Business_characteristics/Minority_owned: measure_info.json

-

[EXTRA MEASURES] ['soloproprio_business', 'perc_soloproprio', 'perc_small', 'small_business'] Business_characteristics/Total: measure_info.json

+

[EXTRA MEASURES] ['minority_owned_perc_small', 'minority_owned_soloproprio_business', 'minority_owned_small_business', 'non_minority_owned_soloproprio_business', 'non_minority_owned_small_business', 'non_minority_owned_perc_soloproprio', 'minority_owned_perc_soloproprio', 'non_minority_owned_perc_small'] Business_characteristics/Minority_owned: measure_info.json

+

[EXTRA MEASURES] ['perc_soloproprio', 'small_business', 'perc_small', 'soloproprio_business'] Business_characteristics/Total: measure_info.json

[VALID] Employment/Industry: measure_info.json

[VALID] Employment/Industry_Minority_owned: measure_info.json

[VALID] Employment/Minority_owned: measure_info.json

diff --git a/docs/tests/test_measure_info_json.html b/docs/tests/test_measure_info_json.html index 5fc4e3d9..f33213c2 100644 --- a/docs/tests/test_measure_info_json.html +++ b/docs/tests/test_measure_info_json.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:04:25 + Last updated: 2024-11-06 16:04:32

sdc.food

[VALID] /home/runner/work/sdc.all_dev/sdc.all_dev/data/sdc.food/Food Access/Food Accessibility Indicator (HOI)/data/distribution/measure_info.json

[VALID] /home/runner/work/sdc.all_dev/sdc.all_dev/data/sdc.food/Food Access/Healthy Food Availability/data/distribution/measure_info.json

diff --git a/docs/tests/test_measure_info_keys.html b/docs/tests/test_measure_info_keys.html index 423c453c..2bdb20b6 100644 --- a/docs/tests/test_measure_info_keys.html +++ b/docs/tests/test_measure_info_keys.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:04:26 + Last updated: 2024-11-06 16:04:33

sdc.food

[VALID] Food Access/Food Accessibility Indicator (HOI): food_access_percentage_geo20

[VALID] Food Access/Healthy Food Availability: mrfei

@@ -34,7 +34,7 @@

sdc.food

[VALID] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): hh_received_snap_pct

[VALID] Food and Nutrition Assistance/Supplemental Nutrition Assistance Program (SNAP): population

sdc.demographics

-

[MISSING KEYS] ['measure_type', 'type', 'layer'] PARENT_DIRECTORY: age_{variant.name}{category.name}

+

[MISSING KEYS] ['type', 'measure_type', 'layer'] PARENT_DIRECTORY: age_{variant.name}{category.name}

[VALID] Age: age_under_20_count_parcels

[VALID] Age: age_under_20_count_direct

[VALID] Age: age_20_64_count_parcels

@@ -53,7 +53,7 @@

sdc.demographics

[VALID] Cooperative extension: perc_children_raised_by_GPs

[VALID] Cooperative extension: disconnectedYouth

[VALID] Cooperative extension: voterTurnout

-

[MISSING KEYS] ['measure_type', 'type', 'layer'] PARENT_DIRECTORY: gender_{variant.name}{category.name}

+

[MISSING KEYS] ['type', 'measure_type', 'layer'] PARENT_DIRECTORY: gender_{variant.name}{category.name}

[VALID] Gender: gender_male_count_parcels

[VALID] Gender: gender_male_count_direct

[VALID] Gender: gender_female_count_parcels

@@ -65,18 +65,18 @@

sdc.demographics

[VALID] Gender: gender_total_count_parcels

[VALID] Gender: gender_total_count_direct

[VALID] Geographic Mobility (HOI): perc_moving_geo20

-

[MISSING KEYS] ['measure_type', 'type', 'layer'] PARENT_DIRECTORY: language_{variant.name}{category.name}

+

[MISSING KEYS] ['type', 'measure_type', 'layer'] PARENT_DIRECTORY: language_{variant.name}{category.name}

[VALID] Language: language_hh_limited_english_count_parcels

[VALID] Language: language_hh_limited_english_count_direct

[VALID] Language: language_hh_limited_english_percent_parcels

[VALID] Language: language_hh_limited_english_percent_direct

-

[MISSING KEYS] ['unit', 'aggregation_method', 'type', 'measure_type', 'layer'] PARENT_DIRECTORY: population{variant}{category.name}

+

[MISSING KEYS] ['layer', 'type', 'unit', 'aggregation_method', 'measure_type'] PARENT_DIRECTORY: population{variant}{category.name}

[VALID] Overall: population_direct

[VALID] Overall: population_parcels

[VALID] Overall: population_density_direct

[VALID] Overall: population_density_parcels

[VALID] Population Density: population_density_geo20

-

[MISSING KEYS] ['measure_type', 'type', 'layer'] PARENT_DIRECTORY: race_{variant.name}{category.name}

+

[MISSING KEYS] ['type', 'measure_type', 'layer'] PARENT_DIRECTORY: race_{variant.name}{category.name}

[VALID] Race: race_afr_amer_alone_count_parcels

[VALID] Race: race_afr_amer_alone_count_direct

[VALID] Race: race_native_alone_count_parcels

@@ -110,7 +110,7 @@

sdc.demographics

[VALID] Race: race_two_or_more_percent_parcels

[VALID] Race: race_two_or_more_percent_direct

[VALID] Segregation (HOI): segregation_indicator_geo20

-

[MISSING KEYS] ['measure_type', 'type', 'layer'] PARENT_DIRECTORY: {variant.name}{category.name}

+

[MISSING KEYS] ['type', 'measure_type', 'layer'] PARENT_DIRECTORY: {variant.name}{category.name}

[VALID] Veteran: veteran_count_parcels

[VALID] Veteran: veteran_count_direct

[VALID] Veteran: veteran_percent_parcels

@@ -146,10 +146,10 @@

sdc.housing

[VALID] Cost-burdened HHs: rent30

[VALID] Cost-burdened HHs: renters

sdc.education

-

[MISSING KEYS] ['citations', 'type', 'variants', 'measure_type', 'categories'] PARENT_DIRECTORY: daycare_capacity

-

[MISSING KEYS] ['citations', 'type', 'variants', 'measure_type', 'categories'] PARENT_DIRECTORY: daycare_min_drivetime

+

[MISSING KEYS] ['citations', 'variants', 'type', 'measure_type', 'categories'] PARENT_DIRECTORY: daycare_capacity

+

[MISSING KEYS] ['citations', 'variants', 'type', 'measure_type', 'categories'] PARENT_DIRECTORY: daycare_min_drivetime

[MISSING SOURCE KEYS] ['location_url', 'location'] PARENT_DIRECTORY: daycare_min_drivetime

-

[MISSING KEYS] ['measure_type', 'type', 'layer', 'variants'] PARENT_DIRECTORY: daycare_ratio{category}

+

[MISSING KEYS] ['type', 'variants', 'measure_type', 'layer'] PARENT_DIRECTORY: daycare_ratio{category}

[MISSING SOURCE KEYS] ['location_url', 'location'] PARENT_DIRECTORY: daycare_ratio{category}

[VALID] Daycare: daycare_capacity

[VALID] Daycare: daycare_min_drivetime

@@ -157,13 +157,13 @@

sdc.education

[VALID] Daycare: daycare_ratio_over_4

[VALID] Daycare: daycare_ratio_under_10

[VALID] Funding: schoolFundAdequacy

-

[MISSING KEYS] ['measure_type', 'type', 'layer', 'variants'] PARENT_DIRECTORY: schools_2year_{category.name}

+

[MISSING KEYS] ['type', 'variants', 'measure_type', 'layer'] PARENT_DIRECTORY: schools_2year_{category.name}

[MISSING SOURCE KEYS] ['location_url', 'location'] PARENT_DIRECTORY: schools_2year_{category.name}

-

[MISSING KEYS] ['measure_type', 'type', 'variants', 'categories'] PARENT_DIRECTORY: schools_under2year

+

[MISSING KEYS] ['type', 'variants', 'measure_type', 'categories'] PARENT_DIRECTORY: schools_under2year

[MISSING SOURCE KEYS] ['location_url', 'location'] PARENT_DIRECTORY: schools_under2year

-

[MISSING KEYS] ['citations', 'type', 'measure_type', 'layer', 'categories'] PARENT_DIRECTORY: schools_{variant.name}_min_drivetime

+

[MISSING KEYS] ['layer', 'citations', 'type', 'measure_type', 'categories'] PARENT_DIRECTORY: schools_{variant.name}_min_drivetime

[MISSING SOURCE KEYS] ['location_url', 'location'] PARENT_DIRECTORY: schools_{variant.name}_min_drivetime

-

[MISSING KEYS] ['citations', 'type', 'data_type', 'measure_type', 'layer', 'categories'] PARENT_DIRECTORY: acs_postsecondary_{variant}

+

[MISSING KEYS] ['layer', 'citations', 'type', 'data_type', 'measure_type', 'categories'] PARENT_DIRECTORY: acs_postsecondary_{variant}

[VALID] Postsecondary: schools_2year_all

[VALID] Postsecondary: schools_2year_with_biomedical_program

[VALID] Postsecondary: schools_2year_with_science_program

@@ -175,7 +175,7 @@

sdc.education

[VALID] Postsecondary: schools_under2year_min_drivetime

[VALID] Postsecondary: acs_postsecondary_percent

[VALID] Postsecondary: acs_postsecondary_count

-

[MISSING KEYS] ['citations', 'type', 'measure_type', 'layer', 'categories'] PARENT_DIRECTORY: {variant.name}_read_pass_rate

+

[MISSING KEYS] ['layer', 'citations', 'type', 'measure_type', 'categories'] PARENT_DIRECTORY: {variant.name}_read_pass_rate

[VALID] Reading: median_read_pass_rate

[VALID] Reading: mean_read_pass_rate

[VALID] Years of Schooling: average_years_schooling_geo20

diff --git a/docs/tests/test_measure_info_missing_measures.html b/docs/tests/test_measure_info_missing_measures.html index e5f0a064..cd49954d 100644 --- a/docs/tests/test_measure_info_missing_measures.html +++ b/docs/tests/test_measure_info_missing_measures.html @@ -7,7 +7,7 @@

- Last updated: 2024-11-07 16:04:52 + Last updated: 2024-11-06 16:05:00

sdc.food

[MISSING MEASURES] ['food_access_percentage_geo10']
[EXISTING MEASURES] ['food_access_percentage_geo20', '_references'] Food Access/Food Accessibility Indicator (HOI): va_tr_usda_2015_2019_food_access_std.csv.xz

[VALID] [EXISTING MEASURES] ['mrfei', '_references'] Food Access/Healthy Food Availability: ncr_cttrbgca_sdad_2023_mrfei.csv.xz

@@ -53,8 +53,8 @@

sdc.broadband

[VALID] [EXISTING MEASURES] ['perc_total_25_3_using_devices'] Wired/Accessibility/Percent Good (total): ncr_hdcttrbg_2019_2021q3_percent_above_threshold.csv.xz

[MISSING MEASURES] ['num_hh', 'num_hh_without_compdev']
[EXISTING MEASURES] ['perc_hh_without_compdev'] Wired/Adoption/Computer Type: ncr_cttrbg_acs_2017_2021_hh_without_compdev.csv.xz

[MISSING MEASURES] ['num_hh', 'num_hh_without_compdev']
[EXISTING MEASURES] ['perc_hh_without_compdev'] Wired/Adoption/Computer Type: va_hdcttrbg_acs_2017_2021_hh_without_compdev.csv.xz

-

[MISSING MEASURES] ['num_hh', 'num_hh_with_broadband', 'num_hh_with_cable_fiber_dsl', 'num_hh_without_internet']
[EXISTING MEASURES] ['perc_hh_with_broadband', 'perc_hh_with_cable_fiber_dsl', 'perc_hh_without_internet'] Wired/Adoption/Internet Type: ncr_cttrbg_acs_2017_2021_hh_internet_type.csv.xz

-

[MISSING MEASURES] ['num_hh', 'num_hh_with_broadband', 'num_hh_with_cable_fiber_dsl', 'num_hh_without_internet']
[EXISTING MEASURES] ['perc_hh_with_broadband', 'perc_hh_with_cable_fiber_dsl', 'perc_hh_without_internet'] Wired/Adoption/Internet Type: va_hdcttrbg_acs_2017_2021_hh_internet_type.csv.xz

+

[MISSING MEASURES] ['num_hh_with_broadband', 'num_hh', 'num_hh_with_cable_fiber_dsl', 'num_hh_without_internet']
[EXISTING MEASURES] ['perc_hh_with_broadband', 'perc_hh_with_cable_fiber_dsl', 'perc_hh_without_internet'] Wired/Adoption/Internet Type: ncr_cttrbg_acs_2017_2021_hh_internet_type.csv.xz

+

[MISSING MEASURES] ['num_hh_with_broadband', 'num_hh', 'num_hh_with_cable_fiber_dsl', 'num_hh_without_internet']
[EXISTING MEASURES] ['perc_hh_with_broadband', 'perc_hh_with_cable_fiber_dsl', 'perc_hh_without_internet'] Wired/Adoption/Internet Type: va_hdcttrbg_acs_2017_2021_hh_internet_type.csv.xz

[VALID] [EXISTING MEASURES] ['perc_income_min_price_100'] Wired/Affordability/Percentage of income for fast internet: ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

[VALID] [EXISTING MEASURES] ['perc_income_min_price_25'] Wired/Affordability/Percentage of income for good internet: ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

[VALID] [EXISTING MEASURES] ['perc_income_avg_nat_package'] Wired/Affordability/Percentage of income for internet (average): ncr_broadbandnow_acs_sdad_2021_perc_income_on_internet.csv.xz

@@ -79,41 +79,41 @@

sdc.health

[MISSING MEASURES] ['access_care_indicator']
[EXISTING MEASURES] ['economic_opportunity_indicator', 'education_indicator', 'employment_access_indicator', 'food_accessibility_indicator', 'health_opportunity_indicator', 'income_inequality_indicator', 'job_participation_indicator', 'pop_churning_indicator', 'pop_density_indicator_old', 'segregation_indicator_old', 'walkability_indicator', 'wellness_disparity_indicator', 'consumer_opportunity_indicator', 'affordability_indicator', 'air_quality_indicator', 'community_environment_indicator', 'access_care_indicator_geo20'] Access to Care (HOI): va_tr_2017_2021_care_access_indicator.csv.xz

[ERROR - NO MEASURE COLUMN] Access to Care (HOI): va_cnt_physician_lt_30mi_from_tract.csv

[MISSING MEASURES] ['access_care_indicator_geo10']
[EXISTING MEASURES] ['economic_opportunity_indicator', 'education_indicator', 'employment_access_indicator', 'food_accessibility_indicator', 'health_opportunity_indicator', 'income_inequality_indicator', 'job_participation_indicator', 'pop_churning_indicator', 'pop_density_indicator_old', 'segregation_indicator_old', 'walkability_indicator', 'wellness_disparity_indicator', 'consumer_opportunity_indicator', 'affordability_indicator', 'air_quality_indicator', 'community_environment_indicator', 'access_care_indicator_geo20'] Access to Care (HOI): va_tr_2017_2021_care_access_indicator_std.csv.xz

-

[MISSING MEASURES] ['dent_near_10_median', 'dent_pop_cnt', 'dent_3sfca', 'dent_near_10_mean']
[EXISTING MEASURES] ['dent_cnt', 'dent_2sfca', 'dent_e2sfca', '_references'] Health Care Services/Dentists/Service Catchment Scores: va_hdcttrbgca_webmd_2021_access_scores_dentists.csv.xz

-

[MISSING MEASURES] ['dent_near_10_median', 'dent_pop_cnt', 'dent_3sfca', 'dent_near_10_mean']
[EXISTING MEASURES] ['dent_cnt', 'dent_2sfca', 'dent_e2sfca', '_references'] Health Care Services/Dentists/Service Catchment Scores: ncr_cttrbg_webmd_2021_access_scores_dentists.csv.xz

-

[MISSING MEASURES] ['subs_pop_cnt', 'subs_near_10_mean', 'subs_e2sfca', 'subs_2sfca']
[EXISTING MEASURES] ['subs_near_10_median', 'subs_cnt', 'subs_3sfca', '_references'] Health Care Services/Drug and Rehab/Service Catchment Scores: ncr_cttrbg_samhsa_2021_access_scores_substance.csv.xz

-

[MISSING MEASURES] ['subs_pop_cnt', 'subs_near_10_mean', 'subs_e2sfca', 'subs_2sfca']
[EXISTING MEASURES] ['subs_near_10_median', 'subs_cnt', 'subs_3sfca', '_references'] Health Care Services/Drug and Rehab/Service Catchment Scores: va_hdcttrbgca_samhsa_2021_access_scores_substance.csv.xz

+

[MISSING MEASURES] ['dent_near_10_median', 'dent_near_10_mean', 'dent_3sfca', 'dent_pop_cnt']
[EXISTING MEASURES] ['dent_cnt', 'dent_2sfca', 'dent_e2sfca', '_references'] Health Care Services/Dentists/Service Catchment Scores: va_hdcttrbgca_webmd_2021_access_scores_dentists.csv.xz

+

[MISSING MEASURES] ['dent_near_10_median', 'dent_near_10_mean', 'dent_3sfca', 'dent_pop_cnt']
[EXISTING MEASURES] ['dent_cnt', 'dent_2sfca', 'dent_e2sfca', '_references'] Health Care Services/Dentists/Service Catchment Scores: ncr_cttrbg_webmd_2021_access_scores_dentists.csv.xz

+

[MISSING MEASURES] ['subs_e2sfca', 'subs_2sfca', 'subs_pop_cnt', 'subs_near_10_mean']
[EXISTING MEASURES] ['subs_near_10_median', 'subs_cnt', 'subs_3sfca', '_references'] Health Care Services/Drug and Rehab/Service Catchment Scores: ncr_cttrbg_samhsa_2021_access_scores_substance.csv.xz

+

[MISSING MEASURES] ['subs_e2sfca', 'subs_2sfca', 'subs_pop_cnt', 'subs_near_10_mean']
[EXISTING MEASURES] ['subs_near_10_median', 'subs_cnt', 'subs_3sfca', '_references'] Health Care Services/Drug and Rehab/Service Catchment Scores: va_hdcttrbgca_samhsa_2021_access_scores_substance.csv.xz

[MISSING MEASURES] ['ems_near_10_mean', 'ems_e2sfca', 'ems_2sfca', 'ems_pop_cnt']
[EXISTING MEASURES] ['ems_near_10_median', 'ems_cnt', 'ems_3sfca', '_references'] Health Care Services/EMS/Service Catchment Scores: ncr_cttrbg_hifld_2021_access_scores_ems.csv.xz

[MISSING MEASURES] ['ems_near_10_mean', 'ems_e2sfca', 'ems_2sfca', 'ems_pop_cnt']
[EXISTING MEASURES] ['ems_near_10_median', 'ems_cnt', 'ems_3sfca', '_references'] Health Care Services/EMS/Service Catchment Scores: va_hdcttrbgca_hifld_2021_access_scores_ems.csv.xz

[VALID] [EXISTING MEASURES] ['degrees_awarded_undergraduate', 'degrees_awarded_graduate', 'degrees_awarded_first_professional', 'degrees_awarded_two_year'] Health Care Services/Health Professionals/VA Graduates: va_ct_schev_2016_2019_health_degrees_awarded.csv.xz

[VALID] [EXISTING MEASURES] ['degrees_awarded_undergraduate', 'degrees_awarded_graduate', 'degrees_awarded_first_professional', 'degrees_awarded_two_year'] Health Care Services/Health Professionals/VA Graduates: va_ahec_schev_2016_2019_health_degrees_awarded.csv.xz

[VALID] [EXISTING MEASURES] ['degrees_awarded_undergraduate', 'degrees_awarded_graduate', 'degrees_awarded_first_professional', 'degrees_awarded_two_year'] Health Care Services/Health Professionals/VA Graduates: va_hd_schev_2016_2019_health_degrees_awarded.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2021_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2017_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2015_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2020_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2016_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2022_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2019_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: va_hdcttrbgca_hifld_2021_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['hosp_near_10_mean', 'hosp_pop_cnt', 'hosp_2sfca', 'hosp_e2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2018_access_scores_hospitals.csv.xz

-

[MISSING MEASURES] ['mental_e2sfca', 'mental_pop_cnt', 'mental_near_10_mean', 'mental_2sfca']
[EXISTING MEASURES] ['mental_near_10_median', 'mental_cnt', 'mental_3sfca', '_references'] Health Care Services/Mental Health/Service Access Scores: va_hdcttrbgca_samhsa_2021_access_scores_mental.csv.xz

-

[MISSING MEASURES] ['mental_e2sfca', 'mental_pop_cnt', 'mental_near_10_mean', 'mental_2sfca']
[EXISTING MEASURES] ['mental_near_10_median', 'mental_cnt', 'mental_3sfca', '_references'] Health Care Services/Mental Health/Service Access Scores: ncr_cttrbg_samhsa_2021_access_scores_mental.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2021_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2017_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2015_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2020_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2016_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2022_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2019_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: va_hdcttrbgca_hifld_2021_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['hosp_e2sfca', 'hosp_pop_cnt', 'hosp_near_10_mean', 'hosp_2sfca']
[EXISTING MEASURES] ['hosp_near_10_median', 'hosp_3sfca', 'hosp_cnt', '_references'] Health Care Services/Hospitals and Emergency Rooms/Service Access Scores: ncr_bgtrct_2018_access_scores_hospitals.csv.xz

+

[MISSING MEASURES] ['mental_pop_cnt', 'mental_e2sfca', 'mental_near_10_mean', 'mental_2sfca']
[EXISTING MEASURES] ['mental_near_10_median', 'mental_cnt', 'mental_3sfca', '_references'] Health Care Services/Mental Health/Service Access Scores: va_hdcttrbgca_samhsa_2021_access_scores_mental.csv.xz

+

[MISSING MEASURES] ['mental_pop_cnt', 'mental_e2sfca', 'mental_near_10_mean', 'mental_2sfca']
[EXISTING MEASURES] ['mental_near_10_median', 'mental_cnt', 'mental_3sfca', '_references'] Health Care Services/Mental Health/Service Access Scores: ncr_cttrbg_samhsa_2021_access_scores_mental.csv.xz

[ERROR - NO MEASURE INFO FILE] Health Care Services/Nursing Homes/Inspection Deficiencies

[ERROR - NO MEASURE INFO FILE] Health Care Services/Nursing Homes/Provider Info

[ERROR - NO MEASURE INFO FILE] Health Care Services/Nursing Homes/Staffing/Nurses

-

[MISSING MEASURES] ['obgyn_pop_cnt', 'obgyn_near_10_median', 'obgyn_near_10_mean']
[EXISTING MEASURES] ['obgyn_cnt', 'obgyn_2sfca', 'obgyn_e2sfca', 'obgyn_3sfca'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_obgyn.csv.xz

-

[MISSING MEASURES] ['obgyn_pop_cnt', 'obgyn_near_10_median', 'obgyn_near_10_mean']
[EXISTING MEASURES] ['obgyn_cnt', 'obgyn_2sfca', 'obgyn_e2sfca', 'obgyn_3sfca'] Health Care Services/Physicians/OB-GYN/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_obgyn.csv.xz

+

[MISSING MEASURES] ['obgyn_near_10_mean', 'obgyn_pop_cnt', 'obgyn_near_10_median']
[EXISTING MEASURES] ['obgyn_cnt', 'obgyn_2sfca', 'obgyn_e2sfca', 'obgyn_3sfca'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_obgyn.csv.xz

+

[MISSING MEASURES] ['obgyn_near_10_mean', 'obgyn_pop_cnt', 'obgyn_near_10_median']
[EXISTING MEASURES] ['obgyn_cnt', 'obgyn_2sfca', 'obgyn_e2sfca', 'obgyn_3sfca'] Health Care Services/Physicians/OB-GYN/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_obgyn.csv.xz

[ERROR - NO MEASURE COLUMN] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv.xz

[ERROR - NO MEASURE COLUMN] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_weighted_access_scores_obgyn.csv

[VALID] [EXISTING MEASURES] ['obgyn_cnt', 'obgyn_2sfca', 'obgyn_e2sfca', 'obgyn_3sfca'] Health Care Services/Physicians/OB-GYN/Service Access Scores: va059_cms_2022_obgyn_access_scores.csv.xz

-

[MISSING MEASURES] ['ped_near_10_median', 'ped_near_10_mean', 'ped_pop_cnt', 'ped_2sfca']
[EXISTING MEASURES] ['ped_cnt', 'ped_3sfca', 'ped_e2sfca', '_references'] Health Care Services/Physicians/Pediatric/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_pediatrics.csv.xz

-

[MISSING MEASURES] ['ped_near_10_median', 'ped_near_10_mean', 'ped_pop_cnt', 'ped_2sfca']
[EXISTING MEASURES] ['ped_cnt', 'ped_3sfca', 'ped_e2sfca', '_references'] Health Care Services/Physicians/Pediatric/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_pediatrics.csv.xz

+

[MISSING MEASURES] ['ped_near_10_median', 'ped_2sfca', 'ped_pop_cnt', 'ped_near_10_mean']
[EXISTING MEASURES] ['ped_cnt', 'ped_3sfca', 'ped_e2sfca', '_references'] Health Care Services/Physicians/Pediatric/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_pediatrics.csv.xz

+

[MISSING MEASURES] ['ped_near_10_median', 'ped_2sfca', 'ped_pop_cnt', 'ped_near_10_mean']
[EXISTING MEASURES] ['ped_cnt', 'ped_3sfca', 'ped_e2sfca', '_references'] Health Care Services/Physicians/Pediatric/Service Access Scores: ncr_cttrbg_webmd_2021_access_scores_pediatrics.csv.xz

[MISSING MEASURES] ['pediatrician_e2sfca']
[EXISTING MEASURES] ['ped_cnt', 'ped_3sfca', 'ped_e2sfca', '_references'] Health Care Services/Physicians/Pediatric/Service Access Scores: va059_webmd_2022_pediatricians_access_scores.csv.xz

[ERROR - NO MEASURE COLUMN] Health Care Services/Physicians/Pediatric/Service Access Scores: va059_weighted_access_scores_pediatrician.csv

-

[MISSING MEASURES] ['primcare_near_10_median', 'primcare_near_10_mean', 'primcare_pop_cnt']
[EXISTING MEASURES] ['primcare_cnt', 'primcare_2sfca', 'primcare_e2sfca', 'primcare_3sfca', '_references'] Health Care Services/Physicians/Primary Care/Service Access Scores: ncr_cttrbg_webmd_2021_acccess_scores_primcare.csv.xz

-

[MISSING MEASURES] ['primcare_near_10_median', 'primcare_near_10_mean', 'primcare_pop_cnt']
[EXISTING MEASURES] ['primcare_cnt', 'primcare_2sfca', 'primcare_e2sfca', 'primcare_3sfca', '_references'] Health Care Services/Physicians/Primary Care/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_primcare.csv.xz

-

[MISSING MEASURES] ['urgent_2sfca', 'urgent_e2sfca', 'urgent_pop_cnt', 'urgent_near_10_mean']
[EXISTING MEASURES] ['urgent_near_10_median', 'urgent_cnt', 'urgent_3sfca', '_references'] Health Care Services/Urgent Care Centers/Service Access Scores: ncr_bgtrct_gmap_2022_access_scores_urgent_care_centers.csv.xz

+

[MISSING MEASURES] ['primcare_near_10_mean', 'primcare_pop_cnt', 'primcare_near_10_median']
[EXISTING MEASURES] ['primcare_cnt', 'primcare_2sfca', 'primcare_e2sfca', 'primcare_3sfca', '_references'] Health Care Services/Physicians/Primary Care/Service Access Scores: ncr_cttrbg_webmd_2021_acccess_scores_primcare.csv.xz

+

[MISSING MEASURES] ['primcare_near_10_mean', 'primcare_pop_cnt', 'primcare_near_10_median']
[EXISTING MEASURES] ['primcare_cnt', 'primcare_2sfca', 'primcare_e2sfca', 'primcare_3sfca', '_references'] Health Care Services/Physicians/Primary Care/Service Access Scores: va_hdcttrbgca_webmd_2021_access_scores_primcare.csv.xz

+

[MISSING MEASURES] ['urgent_near_10_mean', 'urgent_pop_cnt', 'urgent_e2sfca', 'urgent_2sfca']
[EXISTING MEASURES] ['urgent_near_10_median', 'urgent_cnt', 'urgent_3sfca', '_references'] Health Care Services/Urgent Care Centers/Service Access Scores: ncr_bgtrct_gmap_2022_access_scores_urgent_care_centers.csv.xz

[VALID] [EXISTING MEASURES] ['economic_opportunity_indicator', 'education_indicator', 'employment_access_indicator', 'food_accessibility_indicator', 'health_opportunity_indicator', 'income_inequality_indicator', 'job_participation_indicator', 'pop_churning_indicator', 'pop_density_indicator_old', 'segregation_indicator_old', 'walkability_indicator', 'wellness_disparity_indicator', 'consumer_opportunity_indicator', 'affordability_indicator', 'air_quality_indicator', 'community_environment_indicator', 'access_care_indicator'] Population Health/Health Opportunity Index: consumer_opportunity_indicator_2016_quintile.csv.xz

[VALID] [EXISTING MEASURES] ['economic_opportunity_indicator', 'education_indicator', 'employment_access_indicator', 'food_accessibility_indicator', 'health_opportunity_indicator', 'income_inequality_indicator', 'job_participation_indicator', 'pop_churning_indicator', 'pop_density_indicator_old', 'segregation_indicator_old', 'walkability_indicator', 'wellness_disparity_indicator', 'consumer_opportunity_indicator', 'affordability_indicator', 'air_quality_indicator', 'community_environment_indicator', 'access_care_indicator'] Population Health/Health Opportunity Index: va_tr_vdh_2017_2020_food_accessibility_index.csv.xz

[VALID] [EXISTING MEASURES] ['economic_opportunity_indicator', 'education_indicator', 'employment_access_indicator', 'food_accessibility_indicator', 'health_opportunity_indicator', 'income_inequality_indicator', 'job_participation_indicator', 'pop_churning_indicator', 'pop_density_indicator_old', 'segregation_indicator_old', 'walkability_indicator', 'wellness_disparity_indicator', 'consumer_opportunity_indicator', 'affordability_indicator', 'air_quality_indicator', 'community_environment_indicator', 'access_care_indicator'] Population Health/Health Opportunity Index: wellness_disparity_indicator_2016_quintile.csv.xz

@@ -186,7 +186,7 @@

sdc.business_climate

[VALID] [EXISTING MEASURES] ['business_create_job', 'job_creation_active', 'job_creation_new', 'perc_job_creation_active', 'perc_job_creation_new', 'total_job_creation', 'business_destruction_job', 'job_destruction_active', 'job_destruction_exit', 'perc_job_destruction_active', 'perc_job_destruction_exit', 'total_job_destruction', 'total_employment'] Employment/Total: va059_cttrbg_mi_2010_2020_employment_metrics_by_Total.csv.xz

[VALID] [EXISTING MEASURES] ['business_create_job', 'job_creation_active', 'job_creation_new', 'perc_job_creation_active', 'perc_job_creation_new', 'total_job_creation', 'business_destruction_job', 'job_destruction_active', 'job_destruction_exit', 'perc_job_destruction_active', 'perc_job_destruction_exit', 'total_job_destruction', 'total_employment'] Employment/Total: ncr_cttrbg_mi_2010_2020_employment_metrics_by_Total.csv.xz

[VALID] [EXISTING MEASURES] ['wac_overall_male_count', 'wac_overall_female_count', 'wac_age_29_and_under_male_count', 'wac_age_29_and_under_female_count', 'wac_age_30_to_54_male_count', 'wac_age_30_to_54_female_count', 'wac_age_55_and_over_male_count', 'wac_age_55_and_over_female_count', 'wac_earnings_1250_and_under_male_count', 'wac_earnings_1250_and_under_female_count', 'wac_earnings_1251_to_3333_male_count', 'wac_earnings_1251_to_3333_female_count', 'wac_earnings_3334_and_over_male_count', 'wac_earnings_3334_and_over_female_count', 'wac_industry_goods_male_count', 'wac_industry_goods_female_count', 'wac_industry_trade_transporation_utilities_male_count', 'wac_industry_trade_transporation_utilities_female_count', 'wac_industry_other_services_male_count', 'wac_industry_other_services_female_count', 'wac_age_29_and_under_male_perc', 'wac_age_29_and_under_female_perc', 'wac_age_30_to_54_male_perc', 'wac_age_30_to_54_female_perc', 'wac_age_55_and_over_male_perc', 'wac_age_55_and_over_female_perc', 'wac_earnings_1250_and_under_male_perc', 'wac_earnings_1250_and_under_female_perc', 'wac_earnings_1251_to_3333_male_perc', 'wac_earnings_1251_to_3333_female_perc', 'wac_earnings_3334_and_over_male_perc', 'wac_earnings_3334_and_over_female_perc', 'wac_industry_goods_male_perc', 'wac_industry_goods_female_perc', 'wac_industry_trade_transporation_utilities_male_perc', 'wac_industry_trade_transporation_utilities_female_perc', 'wac_industry_other_services_male_perc', 'wac_industry_other_services_female_perc', 'Minority_employment', 'Nonminority_employment', 'rac_overall_male_count', 'rac_overall_female_count', 'rac_age_29_and_under_male_count', 'rac_age_29_and_under_female_count', 'rac_age_30_to_54_male_count', 'rac_age_30_to_54_female_count', 'rac_age_55_and_over_male_count', 'rac_age_55_and_over_female_count', 'rac_earnings_1250_and_under_male_count', 'rac_earnings_1250_and_under_female_count', 'rac_earnings_1251_to_3333_male_count', 'rac_earnings_1251_to_3333_female_count', 'rac_earnings_3334_and_over_male_count', 'rac_earnings_3334_and_over_female_count', 'rac_industry_goods_male_count', 'rac_industry_goods_female_count', 'rac_industry_trade_transporation_utilities_male_count', 'rac_industry_trade_transporation_utilities_female_count', 'rac_industry_other_services_male_count', 'rac_industry_other_services_female_count', 'rac_age_29_and_under_male_perc', 'rac_age_29_and_under_female_perc', 'rac_age_30_to_54_male_perc', 'rac_age_30_to_54_female_perc', 'rac_age_55_and_over_male_perc', 'rac_age_55_and_over_female_perc', 'rac_earnings_1250_and_under_male_perc', 'rac_earnings_1250_and_under_female_perc', 'rac_earnings_1251_to_3333_male_perc', 'rac_earnings_1251_to_3333_female_perc', 'rac_earnings_3334_and_over_male_perc', 'rac_earnings_3334_and_over_female_perc', 'rac_industry_goods_male_perc', 'rac_industry_goods_female_perc', 'rac_industry_trade_transporation_utilities_male_perc', 'rac_industry_trade_transporation_utilities_female_perc', 'rac_industry_other_services_male_perc', 'rac_industry_other_services_female_perc'] Employment/Worker_diversity: va059_cttrbg_lodes_2010_2019_wac_employment_segments_by_sex.csv.xz

-

[MISSING MEASURES] ['age_29_and_under_female_perc', 'industry_trade_transporation_utilities_male_perc', 'age_55_and_over_male_count', 'industry_goods_female_count', 'industry_goods_male_perc', 'industry_other_services_male_perc', 'industry_other_services_female_perc', 'earnings_1250_and_under_female_count', 'age_30_to_54_female_count', 'industry_trade_transporation_utilities_male_count', 'earnings_1250_and_under_female_perc', 'earnings_1250_and_under_male_count', 'overall_female_count', 'earnings_1251_to_3333_female_count', 'earnings_1251_to_3333_male_perc', 'earnings_3334_and_over_male_perc', 'overall_male_count', 'age_55_and_over_male_perc', 'industry_goods_male_count', 'earnings_1251_to_3333_male_count', 'industry_trade_transporation_utilities_female_count', 'industry_goods_female_perc', 'age_55_and_over_female_count', 'industry_other_services_female_count', 'age_29_and_under_male_count', 'age_55_and_over_female_perc', 'age_30_to_54_female_perc', 'earnings_1250_and_under_male_perc', 'earnings_3334_and_over_female_count', 'age_29_and_under_female_count', 'earnings_1251_to_3333_female_perc', 'earnings_3334_and_over_male_count', 'earnings_3334_and_over_female_perc', 'age_30_to_54_male_perc', 'industry_trade_transporation_utilities_female_perc', 'age_29_and_under_male_perc', 'industry_other_services_male_count', 'age_30_to_54_male_count']
[EXISTING MEASURES] ['wac_overall_male_count', 'wac_overall_female_count', 'wac_age_29_and_under_male_count', 'wac_age_29_and_under_female_count', 'wac_age_30_to_54_male_count', 'wac_age_30_to_54_female_count', 'wac_age_55_and_over_male_count', 'wac_age_55_and_over_female_count', 'wac_earnings_1250_and_under_male_count', 'wac_earnings_1250_and_under_female_count', 'wac_earnings_1251_to_3333_male_count', 'wac_earnings_1251_to_3333_female_count', 'wac_earnings_3334_and_over_male_count', 'wac_earnings_3334_and_over_female_count', 'wac_industry_goods_male_count', 'wac_industry_goods_female_count', 'wac_industry_trade_transporation_utilities_male_count', 'wac_industry_trade_transporation_utilities_female_count', 'wac_industry_other_services_male_count', 'wac_industry_other_services_female_count', 'wac_age_29_and_under_male_perc', 'wac_age_29_and_under_female_perc', 'wac_age_30_to_54_male_perc', 'wac_age_30_to_54_female_perc', 'wac_age_55_and_over_male_perc', 'wac_age_55_and_over_female_perc', 'wac_earnings_1250_and_under_male_perc', 'wac_earnings_1250_and_under_female_perc', 'wac_earnings_1251_to_3333_male_perc', 'wac_earnings_1251_to_3333_female_perc', 'wac_earnings_3334_and_over_male_perc', 'wac_earnings_3334_and_over_female_perc', 'wac_industry_goods_male_perc', 'wac_industry_goods_female_perc', 'wac_industry_trade_transporation_utilities_male_perc', 'wac_industry_trade_transporation_utilities_female_perc', 'wac_industry_other_services_male_perc', 'wac_industry_other_services_female_perc', 'Minority_employment', 'Nonminority_employment', 'rac_overall_male_count', 'rac_overall_female_count', 'rac_age_29_and_under_male_count', 'rac_age_29_and_under_female_count', 'rac_age_30_to_54_male_count', 'rac_age_30_to_54_female_count', 'rac_age_55_and_over_male_count', 'rac_age_55_and_over_female_count', 'rac_earnings_1250_and_under_male_count', 'rac_earnings_1250_and_under_female_count', 'rac_earnings_1251_to_3333_male_count', 'rac_earnings_1251_to_3333_female_count', 'rac_earnings_3334_and_over_male_count', 'rac_earnings_3334_and_over_female_count', 'rac_industry_goods_male_count', 'rac_industry_goods_female_count', 'rac_industry_trade_transporation_utilities_male_count', 'rac_industry_trade_transporation_utilities_female_count', 'rac_industry_other_services_male_count', 'rac_industry_other_services_female_count', 'rac_age_29_and_under_male_perc', 'rac_age_29_and_under_female_perc', 'rac_age_30_to_54_male_perc', 'rac_age_30_to_54_female_perc', 'rac_age_55_and_over_male_perc', 'rac_age_55_and_over_female_perc', 'rac_earnings_1250_and_under_male_perc', 'rac_earnings_1250_and_under_female_perc', 'rac_earnings_1251_to_3333_male_perc', 'rac_earnings_1251_to_3333_female_perc', 'rac_earnings_3334_and_over_male_perc', 'rac_earnings_3334_and_over_female_perc', 'rac_industry_goods_male_perc', 'rac_industry_goods_female_perc', 'rac_industry_trade_transporation_utilities_male_perc', 'rac_industry_trade_transporation_utilities_female_perc', 'rac_industry_other_services_male_perc', 'rac_industry_other_services_female_perc'] Employment/Worker_diversity: va059_cttrbg_lodes_2010_2019_workplace_employment_segments_by_sex.csv.xz

+

[MISSING MEASURES] ['industry_trade_transporation_utilities_female_perc', 'age_29_and_under_male_perc', 'industry_other_services_male_count', 'industry_other_services_male_perc', 'earnings_3334_and_over_male_count', 'industry_trade_transporation_utilities_female_count', 'industry_goods_female_perc', 'earnings_1251_to_3333_female_count', 'industry_trade_transporation_utilities_male_perc', 'age_30_to_54_male_perc', 'age_30_to_54_male_count', 'overall_male_count', 'age_55_and_over_male_count', 'industry_goods_male_count', 'industry_other_services_female_perc', 'age_30_to_54_female_perc', 'earnings_1250_and_under_male_perc', 'age_29_and_under_male_count', 'earnings_3334_and_over_male_perc', 'industry_goods_male_perc', 'age_55_and_over_male_perc', 'earnings_1250_and_under_female_count', 'industry_trade_transporation_utilities_male_count', 'earnings_3334_and_over_female_perc', 'earnings_1251_to_3333_male_count', 'age_30_to_54_female_count', 'earnings_3334_and_over_female_count', 'earnings_1251_to_3333_female_perc', 'earnings_1250_and_under_male_count', 'age_29_and_under_female_perc', 'age_55_and_over_female_count', 'industry_other_services_female_count', 'age_29_and_under_female_count', 'age_55_and_over_female_perc', 'overall_female_count', 'earnings_1250_and_under_female_perc', 'earnings_1251_to_3333_male_perc', 'industry_goods_female_count']
[EXISTING MEASURES] ['wac_overall_male_count', 'wac_overall_female_count', 'wac_age_29_and_under_male_count', 'wac_age_29_and_under_female_count', 'wac_age_30_to_54_male_count', 'wac_age_30_to_54_female_count', 'wac_age_55_and_over_male_count', 'wac_age_55_and_over_female_count', 'wac_earnings_1250_and_under_male_count', 'wac_earnings_1250_and_under_female_count', 'wac_earnings_1251_to_3333_male_count', 'wac_earnings_1251_to_3333_female_count', 'wac_earnings_3334_and_over_male_count', 'wac_earnings_3334_and_over_female_count', 'wac_industry_goods_male_count', 'wac_industry_goods_female_count', 'wac_industry_trade_transporation_utilities_male_count', 'wac_industry_trade_transporation_utilities_female_count', 'wac_industry_other_services_male_count', 'wac_industry_other_services_female_count', 'wac_age_29_and_under_male_perc', 'wac_age_29_and_under_female_perc', 'wac_age_30_to_54_male_perc', 'wac_age_30_to_54_female_perc', 'wac_age_55_and_over_male_perc', 'wac_age_55_and_over_female_perc', 'wac_earnings_1250_and_under_male_perc', 'wac_earnings_1250_and_under_female_perc', 'wac_earnings_1251_to_3333_male_perc', 'wac_earnings_1251_to_3333_female_perc', 'wac_earnings_3334_and_over_male_perc', 'wac_earnings_3334_and_over_female_perc', 'wac_industry_goods_male_perc', 'wac_industry_goods_female_perc', 'wac_industry_trade_transporation_utilities_male_perc', 'wac_industry_trade_transporation_utilities_female_perc', 'wac_industry_other_services_male_perc', 'wac_industry_other_services_female_perc', 'Minority_employment', 'Nonminority_employment', 'rac_overall_male_count', 'rac_overall_female_count', 'rac_age_29_and_under_male_count', 'rac_age_29_and_under_female_count', 'rac_age_30_to_54_male_count', 'rac_age_30_to_54_female_count', 'rac_age_55_and_over_male_count', 'rac_age_55_and_over_female_count', 'rac_earnings_1250_and_under_male_count', 'rac_earnings_1250_and_under_female_count', 'rac_earnings_1251_to_3333_male_count', 'rac_earnings_1251_to_3333_female_count', 'rac_earnings_3334_and_over_male_count', 'rac_earnings_3334_and_over_female_count', 'rac_industry_goods_male_count', 'rac_industry_goods_female_count', 'rac_industry_trade_transporation_utilities_male_count', 'rac_industry_trade_transporation_utilities_female_count', 'rac_industry_other_services_male_count', 'rac_industry_other_services_female_count', 'rac_age_29_and_under_male_perc', 'rac_age_29_and_under_female_perc', 'rac_age_30_to_54_male_perc', 'rac_age_30_to_54_female_perc', 'rac_age_55_and_over_male_perc', 'rac_age_55_and_over_female_perc', 'rac_earnings_1250_and_under_male_perc', 'rac_earnings_1250_and_under_female_perc', 'rac_earnings_1251_to_3333_male_perc', 'rac_earnings_1251_to_3333_female_perc', 'rac_earnings_3334_and_over_male_perc', 'rac_earnings_3334_and_over_female_perc', 'rac_industry_goods_male_perc', 'rac_industry_goods_female_perc', 'rac_industry_trade_transporation_utilities_male_perc', 'rac_industry_trade_transporation_utilities_female_perc', 'rac_industry_other_services_male_perc', 'rac_industry_other_services_female_perc'] Employment/Worker_diversity: va059_cttrbg_lodes_2010_2019_workplace_employment_segments_by_sex.csv.xz

[VALID] [EXISTING MEASURES] ['wac_overall_male_count', 'wac_overall_female_count', 'wac_age_29_and_under_male_count', 'wac_age_29_and_under_female_count', 'wac_age_30_to_54_male_count', 'wac_age_30_to_54_female_count', 'wac_age_55_and_over_male_count', 'wac_age_55_and_over_female_count', 'wac_earnings_1250_and_under_male_count', 'wac_earnings_1250_and_under_female_count', 'wac_earnings_1251_to_3333_male_count', 'wac_earnings_1251_to_3333_female_count', 'wac_earnings_3334_and_over_male_count', 'wac_earnings_3334_and_over_female_count', 'wac_industry_goods_male_count', 'wac_industry_goods_female_count', 'wac_industry_trade_transporation_utilities_male_count', 'wac_industry_trade_transporation_utilities_female_count', 'wac_industry_other_services_male_count', 'wac_industry_other_services_female_count', 'wac_age_29_and_under_male_perc', 'wac_age_29_and_under_female_perc', 'wac_age_30_to_54_male_perc', 'wac_age_30_to_54_female_perc', 'wac_age_55_and_over_male_perc', 'wac_age_55_and_over_female_perc', 'wac_earnings_1250_and_under_male_perc', 'wac_earnings_1250_and_under_female_perc', 'wac_earnings_1251_to_3333_male_perc', 'wac_earnings_1251_to_3333_female_perc', 'wac_earnings_3334_and_over_male_perc', 'wac_earnings_3334_and_over_female_perc', 'wac_industry_goods_male_perc', 'wac_industry_goods_female_perc', 'wac_industry_trade_transporation_utilities_male_perc', 'wac_industry_trade_transporation_utilities_female_perc', 'wac_industry_other_services_male_perc', 'wac_industry_other_services_female_perc', 'Minority_employment', 'Nonminority_employment', 'rac_overall_male_count', 'rac_overall_female_count', 'rac_age_29_and_under_male_count', 'rac_age_29_and_under_female_count', 'rac_age_30_to_54_male_count', 'rac_age_30_to_54_female_count', 'rac_age_55_and_over_male_count', 'rac_age_55_and_over_female_count', 'rac_earnings_1250_and_under_male_count', 'rac_earnings_1250_and_under_female_count', 'rac_earnings_1251_to_3333_male_count', 'rac_earnings_1251_to_3333_female_count', 'rac_earnings_3334_and_over_male_count', 'rac_earnings_3334_and_over_female_count', 'rac_industry_goods_male_count', 'rac_industry_goods_female_count', 'rac_industry_trade_transporation_utilities_male_count', 'rac_industry_trade_transporation_utilities_female_count', 'rac_industry_other_services_male_count', 'rac_industry_other_services_female_count', 'rac_age_29_and_under_male_perc', 'rac_age_29_and_under_female_perc', 'rac_age_30_to_54_male_perc', 'rac_age_30_to_54_female_perc', 'rac_age_55_and_over_male_perc', 'rac_age_55_and_over_female_perc', 'rac_earnings_1250_and_under_male_perc', 'rac_earnings_1250_and_under_female_perc', 'rac_earnings_1251_to_3333_male_perc', 'rac_earnings_1251_to_3333_female_perc', 'rac_earnings_3334_and_over_male_perc', 'rac_earnings_3334_and_over_female_perc', 'rac_industry_goods_male_perc', 'rac_industry_goods_female_perc', 'rac_industry_trade_transporation_utilities_male_perc', 'rac_industry_trade_transporation_utilities_female_perc', 'rac_industry_other_services_male_perc', 'rac_industry_other_services_female_perc'] Employment/Worker_diversity: rva_cttrbg_lodes_2010_2019_employment_by_minority_workers.csv.xz

[VALID] [EXISTING MEASURES] ['wac_overall_male_count', 'wac_overall_female_count', 'wac_age_29_and_under_male_count', 'wac_age_29_and_under_female_count', 'wac_age_30_to_54_male_count', 'wac_age_30_to_54_female_count', 'wac_age_55_and_over_male_count', 'wac_age_55_and_over_female_count', 'wac_earnings_1250_and_under_male_count', 'wac_earnings_1250_and_under_female_count', 'wac_earnings_1251_to_3333_male_count', 'wac_earnings_1251_to_3333_female_count', 'wac_earnings_3334_and_over_male_count', 'wac_earnings_3334_and_over_female_count', 'wac_industry_goods_male_count', 'wac_industry_goods_female_count', 'wac_industry_trade_transporation_utilities_male_count', 'wac_industry_trade_transporation_utilities_female_count', 'wac_industry_other_services_male_count', 'wac_industry_other_services_female_count', 'wac_age_29_and_under_male_perc', 'wac_age_29_and_under_female_perc', 'wac_age_30_to_54_male_perc', 'wac_age_30_to_54_female_perc', 'wac_age_55_and_over_male_perc', 'wac_age_55_and_over_female_perc', 'wac_earnings_1250_and_under_male_perc', 'wac_earnings_1250_and_under_female_perc', 'wac_earnings_1251_to_3333_male_perc', 'wac_earnings_1251_to_3333_female_perc', 'wac_earnings_3334_and_over_male_perc', 'wac_earnings_3334_and_over_female_perc', 'wac_industry_goods_male_perc', 'wac_industry_goods_female_perc', 'wac_industry_trade_transporation_utilities_male_perc', 'wac_industry_trade_transporation_utilities_female_perc', 'wac_industry_other_services_male_perc', 'wac_industry_other_services_female_perc', 'Minority_employment', 'Nonminority_employment', 'rac_overall_male_count', 'rac_overall_female_count', 'rac_age_29_and_under_male_count', 'rac_age_29_and_under_female_count', 'rac_age_30_to_54_male_count', 'rac_age_30_to_54_female_count', 'rac_age_55_and_over_male_count', 'rac_age_55_and_over_female_count', 'rac_earnings_1250_and_under_male_count', 'rac_earnings_1250_and_under_female_count', 'rac_earnings_1251_to_3333_male_count', 'rac_earnings_1251_to_3333_female_count', 'rac_earnings_3334_and_over_male_count', 'rac_earnings_3334_and_over_female_count', 'rac_industry_goods_male_count', 'rac_industry_goods_female_count', 'rac_industry_trade_transporation_utilities_male_count', 'rac_industry_trade_transporation_utilities_female_count', 'rac_industry_other_services_male_count', 'rac_industry_other_services_female_count', 'rac_age_29_and_under_male_perc', 'rac_age_29_and_under_female_perc', 'rac_age_30_to_54_male_perc', 'rac_age_30_to_54_female_perc', 'rac_age_55_and_over_male_perc', 'rac_age_55_and_over_female_perc', 'rac_earnings_1250_and_under_male_perc', 'rac_earnings_1250_and_under_female_perc', 'rac_earnings_1251_to_3333_male_perc', 'rac_earnings_1251_to_3333_female_perc', 'rac_earnings_3334_and_over_male_perc', 'rac_earnings_3334_and_over_female_perc', 'rac_industry_goods_male_perc', 'rac_industry_goods_female_perc', 'rac_industry_trade_transporation_utilities_male_perc', 'rac_industry_trade_transporation_utilities_female_perc', 'rac_industry_other_services_male_perc', 'rac_industry_other_services_female_perc'] Employment/Worker_diversity: va059_cttrbg_lodes_2010_2019_employment_by_minority_workers.csv.xz

[VALID] [EXISTING MEASURES] ['wac_overall_male_count', 'wac_overall_female_count', 'wac_age_29_and_under_male_count', 'wac_age_29_and_under_female_count', 'wac_age_30_to_54_male_count', 'wac_age_30_to_54_female_count', 'wac_age_55_and_over_male_count', 'wac_age_55_and_over_female_count', 'wac_earnings_1250_and_under_male_count', 'wac_earnings_1250_and_under_female_count', 'wac_earnings_1251_to_3333_male_count', 'wac_earnings_1251_to_3333_female_count', 'wac_earnings_3334_and_over_male_count', 'wac_earnings_3334_and_over_female_count', 'wac_industry_goods_male_count', 'wac_industry_goods_female_count', 'wac_industry_trade_transporation_utilities_male_count', 'wac_industry_trade_transporation_utilities_female_count', 'wac_industry_other_services_male_count', 'wac_industry_other_services_female_count', 'wac_age_29_and_under_male_perc', 'wac_age_29_and_under_female_perc', 'wac_age_30_to_54_male_perc', 'wac_age_30_to_54_female_perc', 'wac_age_55_and_over_male_perc', 'wac_age_55_and_over_female_perc', 'wac_earnings_1250_and_under_male_perc', 'wac_earnings_1250_and_under_female_perc', 'wac_earnings_1251_to_3333_male_perc', 'wac_earnings_1251_to_3333_female_perc', 'wac_earnings_3334_and_over_male_perc', 'wac_earnings_3334_and_over_female_perc', 'wac_industry_goods_male_perc', 'wac_industry_goods_female_perc', 'wac_industry_trade_transporation_utilities_male_perc', 'wac_industry_trade_transporation_utilities_female_perc', 'wac_industry_other_services_male_perc', 'wac_industry_other_services_female_perc', 'Minority_employment', 'Nonminority_employment', 'rac_overall_male_count', 'rac_overall_female_count', 'rac_age_29_and_under_male_count', 'rac_age_29_and_under_female_count', 'rac_age_30_to_54_male_count', 'rac_age_30_to_54_female_count', 'rac_age_55_and_over_male_count', 'rac_age_55_and_over_female_count', 'rac_earnings_1250_and_under_male_count', 'rac_earnings_1250_and_under_female_count', 'rac_earnings_1251_to_3333_male_count', 'rac_earnings_1251_to_3333_female_count', 'rac_earnings_3334_and_over_male_count', 'rac_earnings_3334_and_over_female_count', 'rac_industry_goods_male_count', 'rac_industry_goods_female_count', 'rac_industry_trade_transporation_utilities_male_count', 'rac_industry_trade_transporation_utilities_female_count', 'rac_industry_other_services_male_count', 'rac_industry_other_services_female_count', 'rac_age_29_and_under_male_perc', 'rac_age_29_and_under_female_perc', 'rac_age_30_to_54_male_perc', 'rac_age_30_to_54_female_perc', 'rac_age_55_and_over_male_perc', 'rac_age_55_and_over_female_perc', 'rac_earnings_1250_and_under_male_perc', 'rac_earnings_1250_and_under_female_perc', 'rac_earnings_1251_to_3333_male_perc', 'rac_earnings_1251_to_3333_female_perc', 'rac_earnings_3334_and_over_male_perc', 'rac_earnings_3334_and_over_female_perc', 'rac_industry_goods_male_perc', 'rac_industry_goods_female_perc', 'rac_industry_trade_transporation_utilities_male_perc', 'rac_industry_trade_transporation_utilities_female_perc', 'rac_industry_other_services_male_perc', 'rac_industry_other_services_female_perc'] Employment/Worker_diversity: ncr_cttrbg_lodes_2010_2019_employment_by_minority_workers.csv.xz

@@ -202,7 +202,7 @@

sdc.financial_well_being

[MISSING MEASURES] ['labor_participate_rate_geo10']
[EXISTING MEASURES] ['emp_rate', 'labor_participate_rate_geo20'] Employment: va_hdcttr_2015_2022_labor_participate_rate_std.csv.xz

[MISSING MEASURES] ['job_participate_rate']
[EXISTING MEASURES] ['emp_rate', 'labor_participate_rate_geo20'] Employment: ncr_cttr_2015_2021_job_participate_rate.csv.xz

[VALID] [EXISTING MEASURES] ['emp_rate', 'labor_participate_rate_geo20'] Employment: ncr_cttr_2015_2021_employment_rate.csv.xz

-

[MISSING MEASURES] ['denominator', 'numerator']
[EXISTING MEASURES] ['emp_rate', 'labor_participate_rate_geo20'] Employment: va_cttr_acs_2015_2019_emp_rate.csv.xz

+

[MISSING MEASURES] ['numerator', 'denominator']
[EXISTING MEASURES] ['emp_rate', 'labor_participate_rate_geo20'] Employment: va_cttr_acs_2015_2019_emp_rate.csv.xz

[VALID] [EXISTING MEASURES] ['emp_rate', 'labor_participate_rate_geo20'] Employment: va_cttr_2015_2021_employment_rate.csv.xz

[MISSING MEASURES] ['labor_participate_rate']
[EXISTING MEASURES] ['emp_rate', 'labor_participate_rate_geo20'] Employment: va_hdcttr_2015_2022_labor_participate_rate.csv.xz

[MISSING MEASURES] ['employment_access_index']
[EXISTING MEASURES] ['employment_access_index_geo20'] Employment Access: va_hdcttr_2015_2021_employment_access_index.csv.xz

@@ -218,10 +218,10 @@

sdc.financial_well_being

[MISSING MEASURES] ['gini_index']
[EXISTING MEASURES] ['gini_index_geo20'] Pay and Benefits/Income Inequality: va_hdcttr_2015_2021_income_inequality_gini_index.csv.xz

[MISSING MEASURES] ['gini_index']
[EXISTING MEASURES] ['gini_index_geo20'] Pay and Benefits/Income Inequality: va_cttr_2015_2021_income_inequality_gini_index.csv.xz

[MISSING MEASURES] ['gini_index_geo10']
[EXISTING MEASURES] ['gini_index_geo20'] Pay and Benefits/Income Inequality: va_hdcttr_2015_2021_income_inequality_gini_index_std.csv.xz

-

[MISSING MEASURES] ['total_employment', 'total_compensation', 'tot_compensation', 'tot_employment']
[EXISTING MEASURES] ['earnings_per_job'] Pay and Benefits/Personal Income: va_hdct_bea_2015_2021_earnings_per_job.csv.xz

+

[MISSING MEASURES] ['tot_compensation', 'tot_employment', 'total_compensation', 'total_employment']
[EXISTING MEASURES] ['earnings_per_job'] Pay and Benefits/Personal Income: va_hdct_bea_2015_2021_earnings_per_job.csv.xz

[VALID] [EXISTING MEASURES] ['wht_men_pov_cnt', 'wht_men_pov_pct', 'wht_women_pov_cnt', 'wht_women_pov_pct', 'blk_men_pov_cnt', 'blk_men_pov_pct', 'blk_women_pov_cnt', 'blk_women_pov_pct', 'asian_men_pov_cnt', 'asian_men_pov_pct', 'asian_women_pov_cnt', 'asian_women_pov_pct', 'othr_men_pov_cnt', 'othr_men_pov_pct', 'othr_women_pov_cnt', 'othr_women_pov_pct', 'wht_nonhis_men_pov_cnt', 'wht_nonhis_men_pov_pct', 'wht_nonhis_women_pov_cnt', 'wht_nonhis_women_pov_pct', 'his_men_pov_cnt', 'his_men_pov_pct', 'his_women_pov_cnt', 'his_women_pov_pct', 'wht_boys_pov_cnt', 'wht_boys_pov_pct', 'wht_girls_pov_cnt', 'wht_girls_pov_pct', 'blk_boys_pov_cnt', 'blk_boys_pov_pct', 'blk_girls_pov_cnt', 'blk_girls_pov_pct', 'asian_boys_pov_cnt', 'asian_boys_pov_pct', 'asian_girls_pov_cnt', 'asian_girls_pov_pct', 'othr_boys_pov_cnt', 'othr_boys_pov_pct', 'othr_girls_pov_cnt', 'othr_girls_pov_pct', 'wht_nonhis_boys_pov_cnt', 'wht_nonhis_boys_pov_pct', 'wht_nonhis_girls_pov_cnt', 'wht_nonhis_girls_pov_pct', 'his_boys_pov_cnt', 'his_boys_pov_pct', 'his_girls_pov_cnt', 'his_girls_pov_pct', 'tot_f_wht', 'tot_m_wht', 'tot_f_afr_amer', 'tot_m_afr_amer', 'tot_f_asian', 'tot_m_asian', 'tot_f_other', 'tot_m_other', 'below_pov_f_wht', 'below_pov_m_wht', 'below_pov_f_afr_amer', 'below_pov_m_afr_amer', 'below_pov_f_asian', 'below_pov_m_asian', 'below_pov_f_other', 'below_pov_m_other', 'pov_pct_f_wht', 'pov_pct_m_wht', 'pov_pct_f_afr_amer', 'pov_pct_m_afr_amer', 'pov_pct_f_asian', 'pov_pct_m_asian', 'pov_pct_f_other', 'pov_pct_m_other'] Poverty: va059_tr_acs_2021_poverty_demographics.csv.xz

-

[MISSING MEASURES] ['asian_boys_cnt', 'his_girls_cnt', 'his_boys_cnt', 'blk_girls_cnt', 'wht_girls_cnt', 'wht_boys_cnt', 'wht_nonhis_girls_cnt', 'othr_boys_cnt', 'wht_nonhis_boys_cnt', 'asian_girls_cnt', 'othr_girls_cnt', 'blk_boys_cnt']
[EXISTING MEASURES] ['wht_men_pov_cnt', 'wht_men_pov_pct', 'wht_women_pov_cnt', 'wht_women_pov_pct', 'blk_men_pov_cnt', 'blk_men_pov_pct', 'blk_women_pov_cnt', 'blk_women_pov_pct', 'asian_men_pov_cnt', 'asian_men_pov_pct', 'asian_women_pov_cnt', 'asian_women_pov_pct', 'othr_men_pov_cnt', 'othr_men_pov_pct', 'othr_women_pov_cnt', 'othr_women_pov_pct', 'wht_nonhis_men_pov_cnt', 'wht_nonhis_men_pov_pct', 'wht_nonhis_women_pov_cnt', 'wht_nonhis_women_pov_pct', 'his_men_pov_cnt', 'his_men_pov_pct', 'his_women_pov_cnt', 'his_women_pov_pct', 'wht_boys_pov_cnt', 'wht_boys_pov_pct', 'wht_girls_pov_cnt', 'wht_girls_pov_pct', 'blk_boys_pov_cnt', 'blk_boys_pov_pct', 'blk_girls_pov_cnt', 'blk_girls_pov_pct', 'asian_boys_pov_cnt', 'asian_boys_pov_pct', 'asian_girls_pov_cnt', 'asian_girls_pov_pct', 'othr_boys_pov_cnt', 'othr_boys_pov_pct', 'othr_girls_pov_cnt', 'othr_girls_pov_pct', 'wht_nonhis_boys_pov_cnt', 'wht_nonhis_boys_pov_pct', 'wht_nonhis_girls_pov_cnt', 'wht_nonhis_girls_pov_pct', 'his_boys_pov_cnt', 'his_boys_pov_pct', 'his_girls_pov_cnt', 'his_girls_pov_pct', 'tot_f_wht', 'tot_m_wht', 'tot_f_afr_amer', 'tot_m_afr_amer', 'tot_f_asian', 'tot_m_asian', 'tot_f_other', 'tot_m_other', 'below_pov_f_wht', 'below_pov_m_wht', 'below_pov_f_afr_amer', 'below_pov_m_afr_amer', 'below_pov_f_asian', 'below_pov_m_asian', 'below_pov_f_other', 'below_pov_m_other', 'pov_pct_f_wht', 'pov_pct_m_wht', 'pov_pct_f_afr_amer', 'pov_pct_m_afr_amer', 'pov_pct_f_asian', 'pov_pct_m_asian', 'pov_pct_f_other', 'pov_pct_m_other'] Poverty: ncr_tr_acs_2021_poverty_children.csv.xz

-

[MISSING MEASURES] ['othr_men_cnt', 'wht_nonhis_women_cnt', 'blk_men_cnt', 'blk_women_cnt', 'his_women_cnt', 'wht_women_cnt', 'asian_women_cnt', 'othr_women_cnt', 'his_men_cnt', 'wht_nonhis_men_cnt', 'wht_men_cnt', 'asian_men_cnt']
[EXISTING MEASURES] ['wht_men_pov_cnt', 'wht_men_pov_pct', 'wht_women_pov_cnt', 'wht_women_pov_pct', 'blk_men_pov_cnt', 'blk_men_pov_pct', 'blk_women_pov_cnt', 'blk_women_pov_pct', 'asian_men_pov_cnt', 'asian_men_pov_pct', 'asian_women_pov_cnt', 'asian_women_pov_pct', 'othr_men_pov_cnt', 'othr_men_pov_pct', 'othr_women_pov_cnt', 'othr_women_pov_pct', 'wht_nonhis_men_pov_cnt', 'wht_nonhis_men_pov_pct', 'wht_nonhis_women_pov_cnt', 'wht_nonhis_women_pov_pct', 'his_men_pov_cnt', 'his_men_pov_pct', 'his_women_pov_cnt', 'his_women_pov_pct', 'wht_boys_pov_cnt', 'wht_boys_pov_pct', 'wht_girls_pov_cnt', 'wht_girls_pov_pct', 'blk_boys_pov_cnt', 'blk_boys_pov_pct', 'blk_girls_pov_cnt', 'blk_girls_pov_pct', 'asian_boys_pov_cnt', 'asian_boys_pov_pct', 'asian_girls_pov_cnt', 'asian_girls_pov_pct', 'othr_boys_pov_cnt', 'othr_boys_pov_pct', 'othr_girls_pov_cnt', 'othr_girls_pov_pct', 'wht_nonhis_boys_pov_cnt', 'wht_nonhis_boys_pov_pct', 'wht_nonhis_girls_pov_cnt', 'wht_nonhis_girls_pov_pct', 'his_boys_pov_cnt', 'his_boys_pov_pct', 'his_girls_pov_cnt', 'his_girls_pov_pct', 'tot_f_wht', 'tot_m_wht', 'tot_f_afr_amer', 'tot_m_afr_amer', 'tot_f_asian', 'tot_m_asian', 'tot_f_other', 'tot_m_other', 'below_pov_f_wht', 'below_pov_m_wht', 'below_pov_f_afr_amer', 'below_pov_m_afr_amer', 'below_pov_f_asian', 'below_pov_m_asian', 'below_pov_f_other', 'below_pov_m_other', 'pov_pct_f_wht', 'pov_pct_m_wht', 'pov_pct_f_afr_amer', 'pov_pct_m_afr_amer', 'pov_pct_f_asian', 'pov_pct_m_asian', 'pov_pct_f_other', 'pov_pct_m_other'] Poverty: ncr_tr_acs_2021_poverty_adults.csv.xz

+

[MISSING MEASURES] ['blk_girls_cnt', 'his_boys_cnt', 'blk_boys_cnt', 'wht_boys_cnt', 'his_girls_cnt', 'othr_girls_cnt', 'wht_nonhis_girls_cnt', 'asian_boys_cnt', 'wht_nonhis_boys_cnt', 'othr_boys_cnt', 'asian_girls_cnt', 'wht_girls_cnt']
[EXISTING MEASURES] ['wht_men_pov_cnt', 'wht_men_pov_pct', 'wht_women_pov_cnt', 'wht_women_pov_pct', 'blk_men_pov_cnt', 'blk_men_pov_pct', 'blk_women_pov_cnt', 'blk_women_pov_pct', 'asian_men_pov_cnt', 'asian_men_pov_pct', 'asian_women_pov_cnt', 'asian_women_pov_pct', 'othr_men_pov_cnt', 'othr_men_pov_pct', 'othr_women_pov_cnt', 'othr_women_pov_pct', 'wht_nonhis_men_pov_cnt', 'wht_nonhis_men_pov_pct', 'wht_nonhis_women_pov_cnt', 'wht_nonhis_women_pov_pct', 'his_men_pov_cnt', 'his_men_pov_pct', 'his_women_pov_cnt', 'his_women_pov_pct', 'wht_boys_pov_cnt', 'wht_boys_pov_pct', 'wht_girls_pov_cnt', 'wht_girls_pov_pct', 'blk_boys_pov_cnt', 'blk_boys_pov_pct', 'blk_girls_pov_cnt', 'blk_girls_pov_pct', 'asian_boys_pov_cnt', 'asian_boys_pov_pct', 'asian_girls_pov_cnt', 'asian_girls_pov_pct', 'othr_boys_pov_cnt', 'othr_boys_pov_pct', 'othr_girls_pov_cnt', 'othr_girls_pov_pct', 'wht_nonhis_boys_pov_cnt', 'wht_nonhis_boys_pov_pct', 'wht_nonhis_girls_pov_cnt', 'wht_nonhis_girls_pov_pct', 'his_boys_pov_cnt', 'his_boys_pov_pct', 'his_girls_pov_cnt', 'his_girls_pov_pct', 'tot_f_wht', 'tot_m_wht', 'tot_f_afr_amer', 'tot_m_afr_amer', 'tot_f_asian', 'tot_m_asian', 'tot_f_other', 'tot_m_other', 'below_pov_f_wht', 'below_pov_m_wht', 'below_pov_f_afr_amer', 'below_pov_m_afr_amer', 'below_pov_f_asian', 'below_pov_m_asian', 'below_pov_f_other', 'below_pov_m_other', 'pov_pct_f_wht', 'pov_pct_m_wht', 'pov_pct_f_afr_amer', 'pov_pct_m_afr_amer', 'pov_pct_f_asian', 'pov_pct_m_asian', 'pov_pct_f_other', 'pov_pct_m_other'] Poverty: ncr_tr_acs_2021_poverty_children.csv.xz

+

[MISSING MEASURES] ['asian_women_cnt', 'blk_men_cnt', 'blk_women_cnt', 'wht_nonhis_men_cnt', 'othr_women_cnt', 'asian_men_cnt', 'othr_men_cnt', 'wht_men_cnt', 'wht_women_cnt', 'his_men_cnt', 'wht_nonhis_women_cnt', 'his_women_cnt']
[EXISTING MEASURES] ['wht_men_pov_cnt', 'wht_men_pov_pct', 'wht_women_pov_cnt', 'wht_women_pov_pct', 'blk_men_pov_cnt', 'blk_men_pov_pct', 'blk_women_pov_cnt', 'blk_women_pov_pct', 'asian_men_pov_cnt', 'asian_men_pov_pct', 'asian_women_pov_cnt', 'asian_women_pov_pct', 'othr_men_pov_cnt', 'othr_men_pov_pct', 'othr_women_pov_cnt', 'othr_women_pov_pct', 'wht_nonhis_men_pov_cnt', 'wht_nonhis_men_pov_pct', 'wht_nonhis_women_pov_cnt', 'wht_nonhis_women_pov_pct', 'his_men_pov_cnt', 'his_men_pov_pct', 'his_women_pov_cnt', 'his_women_pov_pct', 'wht_boys_pov_cnt', 'wht_boys_pov_pct', 'wht_girls_pov_cnt', 'wht_girls_pov_pct', 'blk_boys_pov_cnt', 'blk_boys_pov_pct', 'blk_girls_pov_cnt', 'blk_girls_pov_pct', 'asian_boys_pov_cnt', 'asian_boys_pov_pct', 'asian_girls_pov_cnt', 'asian_girls_pov_pct', 'othr_boys_pov_cnt', 'othr_boys_pov_pct', 'othr_girls_pov_cnt', 'othr_girls_pov_pct', 'wht_nonhis_boys_pov_cnt', 'wht_nonhis_boys_pov_pct', 'wht_nonhis_girls_pov_cnt', 'wht_nonhis_girls_pov_pct', 'his_boys_pov_cnt', 'his_boys_pov_pct', 'his_girls_pov_cnt', 'his_girls_pov_pct', 'tot_f_wht', 'tot_m_wht', 'tot_f_afr_amer', 'tot_m_afr_amer', 'tot_f_asian', 'tot_m_asian', 'tot_f_other', 'tot_m_other', 'below_pov_f_wht', 'below_pov_m_wht', 'below_pov_f_afr_amer', 'below_pov_m_afr_amer', 'below_pov_f_asian', 'below_pov_m_asian', 'below_pov_f_other', 'below_pov_m_other', 'pov_pct_f_wht', 'pov_pct_m_wht', 'pov_pct_f_afr_amer', 'pov_pct_m_afr_amer', 'pov_pct_f_asian', 'pov_pct_m_asian', 'pov_pct_f_other', 'pov_pct_m_other'] Poverty: ncr_tr_acs_2021_poverty_adults.csv.xz

[ERROR - NO MEASURE INFO FILE] Taxes

sdc.environment

[VALID] [EXISTING MEASURES] ['RISK_SCORE', 'AVLN_RISKS', 'CFLD_RISKS', 'CWAV_RISKS', 'DRGT_RISKS', 'ERQK_RISKS', 'HAIL_RISKS', 'HWAV_RISKS', 'HRCN_RISKS', 'ISTM_RISKS', 'LNDS_RISKS', 'LTNG_RISKS', 'RFLD_RISKS', 'SWND_RISKS', 'TRND_RISKS', 'TSUN_RISKS', 'VLCN_RISKS', 'WFIR_RISKS', 'WNTW_RISKS'] climate_change: ncr_tr_fema_2019_natural_hazards_risk_scores.csv.xz