title alternative_title description language display_note creator publisher provider resource_class resource_type subject theme keyword temporal_coverage date_issued index_year date_range spatial_coverage geometry bounding_box centroid georeferenced relation member_of is_part_of source is_version_of replaces is_replaced_by rights rights_holder license access_rights format file_size references wxs_indentifier id identifier modified metadata_version suppressed spatial_resolution highlight_ids spatial_resolution_note methods_variables data_variables featured_variable preferred_citation data_usage_notes
Access to Jobs and Workers Via Transit
['Access to Jobs and Workers Via Transit']
['The Access to Jobs and Workers Via Transit is a geospatial tool that provides indicators of accessibility to destinations by public transit. Indicators summarize jobs accessible by transit as well as workers, households, and the population that can access transit at the block group level. Coverage is limited to metropolitan regions served by transit agencies that share their service data.']
['eng']
[]
['U.S. Environmental Protection Agency, Office of Sustainable Communities']
['U.S. Environmental Protection Agency']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Census data', 'Digital maps', 'Polygon data', 'Table data']
['Transportation and Infrastructure', 'Employment', 'Neighborhood and Built Environment']
['Economy', 'Transportation']
['Transportation', 'Walkability', 'Transit', 'Access', 'Design', 'Diversity', 'Density', 'Employment', 'Demographics', 'Jobs']
['2021']
2021
[2021]
[]
['United States']
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None
None
False
[]
[]
['herop-ppvuzl']
['herop-xvenhj']
[]
[]
[]
['None']
['None']
["No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work."]
Public
Geodatabase| Shapefile | DBF
shp 253 mb | gdb 120 | DBF 8mb
{'http://schema.org/url': 'https://www.epa.gov/smartgrowth/smart-location-mapping#walkability', 'http://schema.org/downloadUrl': 'https://www.epa.gov/smartgrowth/smart-location-mapping#Trans45', 'http://lccn.loc.gov/sh85035852': 'https://www.epa.gov/sites/default/files/2014-03/documents/sld_trans45_ug_0.pdf', 'archive-url': 'https://uofi.box.com/s/imyxkch7611rsp86hh9kf57mhcutceky'}
None
herop-bnohpx
[]
2025-08-08T20:45:02Z
SDOH PlaceProject
False
['Census Block Group']
['150US*']
None
["Distance from the population-weighted centroid to nearest transit stop (meters) ('D4a')", "Proportion of Census Block Group (CBG) employment within ¼ mile of fixed-guideway transit stop ('D4b025')", "Proportion of CBG employment within ½ mile of fixed-guideway transit stop ('D4b050')", "Aggregate frequency of transit service within 0.25 miles of CBG boundary per hour during evening peak period ('D4c')", "Aggregate frequency of transit service ('D4c') per square mile", "Aggregate frequency of transit service ('D4c') per capita"]
['Population accessible by transit', 'Minimum population accessible by transit among all block groups within same Census Block Statistical Area (CBSA)', 'Minimum population accessible by transit among all block group within the same CBSA', 'Weighted average population accessible by transit among all block group within same CBSA', 'Percent of population accessible by transit', 'Minimum percent of population accessible by transit among all block group within the same CBSA', 'Maximum percent of population accessible by transit among all block group within the same CBSA', 'Weighted average percent of population accessible by transit among all block group within the same CBSA', 'Housing units accessible by transit', 'Households accessible by', 'Workers accessible by transit', 'Minimum workers accessible by transit among all block group within the same CBSA', 'Maximum workers accessible by transit among all block group within the same CBSA', 'Weighted average workers accessible by transit among all block group within the same CBSA', 'Percent of workers accessible by transit', 'Minimum transit accessibility score among all block group within the same CBSA', 'Maximum transit accessibility score among all block group within the same CBSA', 'Weighted average transit accessibility score among all block group within the same CBSA', 'Low-medium wage workers accessible by transit', 'Minimum low-medium wage workers accessible by transit among all block group within the same CBSA', 'Maximum low-medium wage workers accessible by transit among all block group within the same CBSA', 'Weighted average Low-medium wage workers accessible by transitr among all block group within the same CBSA', 'High wage workers accessible by transit', 'Percent of all low-wage workers in region accessible by transit', 'Minimum percent of all low-wage workers in region accessible by transit among all block group within the same CBSA', 'Maximum percent of all low-wage workers in region accessible by transit among all block group within the same CBSA', 'Weighted average percent of all low-wage workers in region accessible by transit among all block group within the same CBSA', 'Percent of all medium-wage workers in region accessible by transit', 'Percent of all low-medium wage workers in region accessible by transit', 'Minimum percent of all low-medium wage workers in region accessible by transit among all block group within the sameCBSA', 'Minimum percent of all low-medium wage workers in region accessible by transit among all block group within the same CBSA', 'Weighted average percent of all low-medium wage workers in region accessible by transit among all block group within the same CBSA', 'Jobs accessible by transit', 'Minimum jobs accessible by transit among all block group within the same CBSA', 'Maximum jobs accessible by transit among all block group within the same CBSA', 'Weighted average jobs accessible by transit among all block group within the same CBSA', 'Percent of regional jobs accessible by transit', 'Minimum percent of regional jobs accessible by transit among all block group within the same CBSA', 'Maximum percent of regional jobs accessible by transit among all block group within the same CBSA', 'Weighted average percent of regional jobs accessible by transit among all block group within the same CBSA']
['Accessibility Index - Transit to working-age population']
U.S. EPA. (2021). U.S. environmental protection agency - access to jobs and workers via transit - download. Data.gov. https://catalog.data.gov/dataset/access-to-jobs-and-workers-via-transit-download7
None
Area Deprivation Index (ADI) 2015
[]
[]
['eng', 'spa']
[]
[]
[]
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
[]
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2015
[2015]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
None
None
{}
None
herop-hqhyud
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group', 'Zip Code Tabulation Area (ZCTA)']
[]
None
[]
[]
[]
None
None
Area Deprivation Index (ADI) 2020
[]
[]
[]
[]
[]
[]
None
['Collections', 'Datasets']
['Aerial photographs']
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2020
[]
[]
[]
None
None
None
None
[]
[]
[]
[]
['herop-ggungs']
[]
[]
[]
[]
[]
Public
CSV
None
{}
None
herop-hhjyug
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
[]
['aef']
[]
None
None
Broadband Internet Availability, Speed, & Adoption
['NaNDA Broadband Internet Availability, Speed, and Adoption by Census Tract and ZIP Code Tabulation Area, United States, 2014-2020']
["This data collection contains measures of broadband internet availability, speed, and adoption for U.S. census tracts and zip codes tabulation areas (ZCTA) from 2014 through 2020, as two distinct datasets (one for each spatial resolution). Data is derived from internet service providers' Form 477 reports to the Federal Communications Commission."]
['eng']
['Users analyzing broadband accessibility trends can integrate ACS-derived internet adoption variables with FCC-derived availability data from the corresponding year. However, when comparing provider numbers or connection speed, note that FCC data includes both DSL/cable and satellite providers. The most comparable ACS-derived variables for adoption patterns are n/p_broadband_dsl_cable_sub (households with DSL/cable broadband) and n/p_broadband_satellite_sub (households with satellite broadband).']
['Mao Li', 'Iris Gomez-Lopez', 'Anam Khan', 'Philippa Clarke', 'Megan Chenoweth']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
[]
['Neighborhood and Built Environment', 'Transportation and Infrastructure']
['Society', 'Structure']
['Access to information', 'Broadband', 'Internet access']
['2014-2020']
2022-11-14
[2014, 2015, 2016, 2017, 2018, 2019, 2020]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
['This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License.']
Public
tsv
27.2 MB
{'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38567.v1', 'http://schema.org/downloadUrl': 'https://www.openicpsr.org/openicpsr/project/117866/version/V2/view', 'http://lccn.loc.gov/sh85035852': 'https://www.openicpsr.org/openicpsr/project/117866/version/V2/view?path=/openicpsr/117866/fcr:versions/V2.6/NaNDA_Broadband_Availability_by_Census_Tract_2014-2020_v1-1.pdf&type=file'}
None
herop-pnjasf
['https://doi.org/10.3886/ICPSR38567.v1']
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Tract', 'Zip Code Tabulation Area (ZCTA)']
[]
None
['Sum of Maximum CIR (Committed Information Rate) download speed across all providers', 'The number of Internet service providers serving the tract (measured in kbps)', 'Sum of Maximum CIR upload speed across all providers', 'Total providers of high-speed fixed connections (200 kbps+)', 'Total residential providers of high-speed fixed connections (200 kbps+)', 'Residential fixed broadband connections per 1000 households (with a minimum speed of 200 kbps+)', 'Residential fixed broadband connections per 1000 households with speeds of at least 10 Mbps download / 1 Mbps upload']
['Number of households in the tract', 'Households with any type of internet subscription', 'Households with any type of broadband (DSL/cable, satellite, or cellular)', 'Households with DSL/cable broadband', 'Households with satellite internet', 'Households with a cellular data plan', 'Households with internet access but no subscription', 'Households with no internet access', 'Households with a computing device and broadband access', 'Households with any computing device (laptop/desktop or smartphone/tablet)', 'Households with a laptop/desktop computer', 'Households with a smartphone or tablet', 'Households with no computing device', 'Percentage of households with an internet subscription', 'Percentage of households with any type of broadband (DSL/cable, satellite, or cellular)', 'Percentage of households with DSL/cable broadband', 'Percentage of households with satellite internet', 'Percentage of households with a cellular data plan', 'Percentage of households with internet access but no subscription', 'Percentage of households with no internet access', 'Percentage of households with a computing device and broadband access', 'Percentage of households with any computing device (laptop/desktop or smartphone/tablet)', 'Percentage of households with a laptop/desktop computer', 'Percentage of households with a smartphone or tablet', 'Percentage of households with no computing device', 'Sum of Maximum CIR (Committed Information Rate) download speed across all providers', 'The number of Internet service providers serving the tract (measured in kbps)', 'Sum of Maximum CIR upload speed across all providers', 'Total providers of high-speed fixed connections (200 kbps+)', 'Total residential providers of high-speed fixed connections (200 kbps+)', 'Residential fixed broadband connections per 1000 households (with a minimum speed of 200 kbps+)', 'Residential fixed broadband connections per 1000 households with speeds of at least 10 Mbps download / 1 Mbps upload']
['Average upload and download speed of fixed broadband connections, Number of internet service providers, Number of actual connections per 1000 households']
Li, Mao, Gomez-Lopez, Iris, Khan, Anam, Clarke, Philippa, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Broadband Internet Availability, Speed, and Adoption by Census Tract, United States, 2014-2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-10-21. https://doi.org/10.3886/E117866V2
This dataset supplements the National Neighborhood Data Archive (NaNDA): Broadband Internet Availability, Speed, and Adoption by Census Tract, United States, 2014-2020, which provides broadband availability data from the Federal Communications Commission (FCC). Key differences exist between these datasets. The FCC-derived data is longitudinal (2014–2020) and focuses on broadband availability, whereas the American Community Survey (ACS)-derived data represents a single measure for 2015–2019 and focuses on household-level internet access and usage.
CDC Social Vulnerability Index (SVI) 2000
[]
[]
[]
[]
['Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program.']
['Centers for Disease Control and Prevention']
Healthy Regions + Policies Lab
['Datasets']
[]
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2000
[2000]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
SHP
None
{'http://lccn.loc.gov/sh85035852': 'https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2000.html'}
None
herop-wuknpz
['DAF']
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'Census Tract']
[]
None
[]
[]
[]
None
None
CDC Social Vulnerability Index (SVI) 2010
[]
[]
[]
[]
['Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program.']
['Centers for Disease Control and Prevention']
Healthy Regions + Policies Lab
['Datasets']
[]
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2010
[2010]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
SHP
None
{'http://lccn.loc.gov/sh85035852': 'https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2010.html'}
None
herop-bzjhiq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'Census Tract']
[]
None
[]
[]
[]
None
None
CDC Social Vulnerability Index (SVI) 2014
[]
[]
[]
[]
['Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program.']
['Centers for Disease Control and Prevention']
Healthy Regions + Policies Lab
['Datasets']
[]
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2014
[2014]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
SHP
None
{'http://lccn.loc.gov/sh85035852': 'https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2014.html'}
None
herop-znytwy
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'Census Tract']
[]
None
[]
[]
[]
None
None
CDC Social Vulnerability Index (SVI) 2016
[]
[]
[]
[]
['Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program.']
['Centers for Disease Control and Prevention']
Healthy Regions + Policies Lab
['Datasets']
[]
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2016
[2016]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
SHP
None
{'http://lccn.loc.gov/sh85035852': 'https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2016.html'}
None
herop-emclkl
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'Census Tract']
[]
None
[]
[]
[]
None
None
CDC Social Vulnerability Index (SVI) 2018
[]
[]
[]
[]
['Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program.']
['Centers for Disease Control and Prevention']
Healthy Regions + Policies Lab
['Datasets']
[]
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2018
[2018]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
SHP
None
{'http://lccn.loc.gov/sh85035852': 'https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.html'}
None
herop-ldyffx
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'Census Tract']
[]
None
[]
[]
[]
None
None
CDC Social Vulnerability Index (SVI) 2020
[]
['description 1', 'description 2']
[]
[]
['Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program.']
['Centers for Disease Control and Prevention']
Healthy Regions + Policies Lab
['Datasets']
[]
['Economic Stability', 'Social and Community Context']
[]
[]
[]
2020
[2020]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
SHP
None
{'http://lccn.loc.gov/sh85035852': 'https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2020.html'}
None
herop-atdwvg
['araergawefawef']
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'Census Tract']
[]
None
[]
[]
[]
None
None
Child Opportunity Atlas
['Opportunity Insights']
['The Child Opportunity Atlas maps the childhood roots of social mobility, and serves as a publicly available atlas of children’s outcomes in adulthood by Census tract using anonymized longitudinal data covering nearly the entire U.S. population. This table reports predicted outcomes for children by four different spatial resolusions (census tract, county, community zone, and national level), race and gender. The data is organized long on different spatial resolusions and wide on race, gender and parent income percentile rank, so that there is exactly one row per tract, and a variable for each race/gender/parent income percentile rank combination. To protect privacy, a small amount of noise is added to each of the estimates; this noise is typically less than one-tenth the size of the standard error of the estimate itself. The standard errors reported below incorporate both sampling error and the noise that was added to the point estimates to protect privacy. We provide the tract-level unconditional means as well as predictions at five percentiles of the parent national income distribution among parents with children in the same birth cohort (referred to as “[pctile]” in the codebook). In particular, we consider the 1st, 25th, 50th, 75th, and 100th percentiles.']
['eng']
[]
['Opportunity Insights']
['Opportunity Insights']
Healthy Regions + Policies Lab
['Datasets']
['Atlases', 'Census data']
['Demographics', 'Economic Stability', 'Employment', 'Education', 'Housing', 'Social and Community Context']
['Economy', 'Property', 'Society']
['Mobility', 'Income', 'Inequality']
['1978-2015']
None
[2015]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
['Oppotunity Insights']
['Oppotunity Insights']
['Oppotunity Insights']
Public
STATA, Excel
2.4MB - 914MB
{'http://schema.org/url': 'https://opportunityinsights.org/data/?geographic_level=0&topic=0&paper_id=1652#resource-listing'}
None
herop-siawey
[]
2025-06-13T16:17:12Z
SDOH PlaceProject
False
['County', 'Census Tract']
['']
Community Zone, National
['Mean predicted outcome for children of a given race, gender, and with parents at a given percentile', 'Mean household income rank for parents of children of race and gender', 'Fraction of children with parents who have income below the national median for parents with children in the same birth cohort', 'Mean fraction of possible childhood years (up to age 23) children spent', 'Fraction of children who have a male claimer in the year they are linked to parents', 'Fraction of children who have a female claimer in the year they are linked to parents', 'Fraction incarcerated on April 1st, 2010', 'Mean percentile rank (relative to other children born in the same year) in the national distribution of household income measured as mean earnings in 2014-2015 for the baseline sample', 'Baseline kfr measure (2014-15 income) as defined above, but restricted to children who live in one of their childhood commuting zones in adulthood', 'Probability of reaching the top 1% of the national household income distribution (among children born in the same year) in 2014-15', 'Probability of reaching the top quintile of the national household income distribution (among children born in the same year) in 2014-15', 'Mean percentile rank (relative to other children in the same year) in the national distribution of household income measured at age 24, 26, and 29', 'Mean percentile rank (relative to other children born in the same year) in the national distribution of individual income measured as mean earnings in 2014-2015 for the baseline sample', 'Baseline kir measure (2014-15 income) as defined above, but restricted to children who live in one of their childhood commuting zones in adulthood', 'Probability of reaching the top 1% of the national individual income distribution (among children born in the same year) in 2014-15', 'Probability of reaching the top quintile of the national individual income distribution (among children born in the same year) in 2014-15', 'Mean percentile rank (relative to other children in the same year) in the national distribution of individual income measured at age 24, 26, and 29', 'Fraction of children who grew up in a given tract and end up living in a tract with a poverty rate of less than 10% (according to tract-level Census 2000 data) in adulthood', 'Fraction of children who file their federal income tax return as “married filing jointly” or “married filing separately” in 2015', 'Fraction of children who file their federal income tax return as “married filing jointly” or “married filing separate” at age 26, 29, and 32', 'Mean individual income rank in 2014-15 for the spouses of children who grew up in the given tract', 'Fraction of children who live in one of their childhood commuting zones in adulthood', 'Fraction of children who live at the same address as their parents in 2015', 'Fraction of individuals who live in one of their childhood Census tracts in adulthood', 'Fraction of women who grew up in the given tract who ever claimed a child born when they were between the ages of 13 and 19 as a dependent', 'Fraction of children claimed by two people in the year they are linked to parents', 'Fraction of children with positive W-2 earnings in 2015', 'Fraction of children with positive W-2 earnings at age 24, 26, 29, and 32', 'Baseline kfr measure (2014-15 income) defined above, but restricted to children whose mothers immigrated to the United States', 'Baseline kfr measure (2014-15 income) defined above, but restricted to children whose mothers were born in the United States', 'Baseline kir measure (2014-15 income) defined above, but restricted to children whose mothers immigrated to the United States', 'Baseline kir measure (2014-15 income) defined above, but restricted to children whose mothers were born in the United States']
['Number of children of race and gender', 'Count of children under 18 of race and gender', 'Mean outcome for children of race and gender', 'Fraction of children who have a four-year college degree (among children who received ACS or 2000 Census long form at age 25+)', 'Fraction of children who have at least a community college degree (among children who received the ACS or the 2000 Census long form at age 25+)', 'Fraction of children who have a graduate degree (among children who received the ACS or 2000 long form at age 30+)', 'Mean weekly hours child worked in the 12 months before they were surveyed (among children who received ACS at age 30+)', 'Fraction of children who completed high school or obtained a GED (among children who received the ACS or 2000 long form at age 19+)', 'Fraction of children with positive hours worked in the 12 months before being surveyed (among children who received the ACS at age 30+)', 'Fraction of children who receive public assistance income (among children who received the ACS at age 30+)', 'Fraction of children having at least some college experience (among children who received the ACS or 2000 long form at age 25+)', 'Mean individual income rank in 2014-15 for the spouses of children who grew up in the given tract', 'Hourly wage rank, computed within child birth year and year of ACS receipt (among children who received the ACS at age 30+)']
[]
Chetty, R., Hendren, N., Friedman, J., Jones, M. R., & Porter, S. R. (2018, September 30). The Opportunity Atlas: Mapping the Childhood Roots of social mobility. Opportunity Insights. https://opportunityinsights.org/paper/the-opportunity-atlas/
None
Child Opportunity Index (COI)
['Child Opportunity Index (COI)']
['The Child Opportunity Index measures and compares specific neighborhood-level quality of life indicators that play a significant factor in the healthy development of children, incorporating measures of safe housing, access to food, quality of schools, parks, and more. The database and interactive map tool enables exploration of the factors that shape education, health, and socioeconomic outcomes, and the drivers of childhood equity at the neighborhood level.']
['eng']
['The list of methodological variables presented are not meant to be exhaustive of all factors impacting child opportunity; the analytical team sought to incorporate as many relevant variables as possible within the scope of this study.']
['Boston University School of Social Work.']
['Institute for Equity in Child Opportunity & Healthy Development at Boston University School of Social Work']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps', 'Websites']
['Census data', "Children's atlases"]
['Demographics', 'Economic Stability', 'Education', 'Health and Healthcare', 'Social and Community Context', 'Composite Index']
['Health', 'Society']
['Health Equity', 'Education', 'Urban Health', 'SDOH', 'US Census']
['2012-2021']
October 8, 2024
[2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]
[]
['United States']
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Public
CSV
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{'http://schema.org/url': 'https://www.diversitydatakids.org/about-us', 'http://lccn.loc.gov/sh85035852': 'https://www.diversitydatakids.org/sites/default/files/file/COI30_TechDoc_20241004.pdf'}
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herop-znxdus
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Tract']
[]
None
['Private Pre-K Enrollment', 'Public Pre-K Enrollment', 'Reading and Math Test Scores', 'Reading and Math Test Score Growth', 'Poverty-adjusted Reading and Math Test Scores', 'Advanced Placement (AP) Course Enrollment', 'College Enrollment in Nearby Institutions', 'High School Graduation Rate', 'Adult Educational Attainment', 'Child Enrichment-related Non-Profits', 'Teacher Experience', 'School Poverty', 'Airborne Microparticles', 'Ozone Concentration', 'Industrial Pollutants in Air, Water or Soil', 'Hazardous Waste Dump Sites', 'Fast Food Restaurant Density', 'Healthy Food Restaurant Density', 'Extreme Heat Exposure', 'NatureScore', 'Walkability', 'Community Safety-related Non-Profits', 'Vacant Housing', 'Health-related Non-Profits', 'Health Insurance Coverage', 'Median Household Income', 'Poverty Rate', 'Public Assistance Rate', 'Adults with Advanced Degrees', 'Very High-Income Households', 'Adults without Advanced Degrees', 'Very Low-Income Households', 'Broadband Access', 'Crowded Housing', 'Mobility-Enhancing Friendship Networks', 'Single-Parent Families', 'Non-Profit organizations', 'Homeownership Rate', 'Aggregate Home Values', 'Aggregate Capital Income', 'Aggregate Real Estate Taxes']
['Percentage of 3- and 4-year-olds enrolled in private nursery school, preschool or kindergarten', 'Percentage of 3- and 4-year-olds enrolled in public nursery school, preschool or kindergarten', 'Standardized test scores in math and reading/language arts', 'Growth in standardized test scores in math and reading/language arts', 'Poverty-adjusted standardized test scores in math and reading/language arts', 'Percentage of 9th-12th graders enrolled in at least one AP course', 'Percentage of 18-24-year-olds enrolled in college within a 20-mile radius', 'Percentage of ninth graders graduating from high school on time', "Percentage of adults aged 25 and over with a Bachelor's degree or higher", 'Density of non-profit organizations providing enrichment opportunities for children, such as after-school programs, recreational sports leagues and', 'mentoring programs', 'Percentage of teachers in their first and second year, reversed', 'Percentage of students in elementary schools eligible for free or reduced-price lunches, reversed', 'Mean estimated microparticle concentration (PM2.5; micrograms per cubic meter), reversed', 'Mean estimated 8-hour average ozone concentration (parts per billion), reversed', 'Index of toxic chemicals released by industrial facilities, reversed', 'Average number of Superfund sites within a 2-mile radius, reversed', 'Percentage of restaurants that serve fast food, reversed', 'Percentage of food retailers selling healthy food', 'Number of summer days with maximum temperatures above 90F, reversed', 'NatureScore measures exposure to healthy natural environments using data on green space, tree canopies, parks, and air, noise and light pollution', 'EPA Walkability Index', 'Density of non-profit organizations focused on increasing community safety', 'Percentage of housing units that are vacant, reversed', 'Density of non-profit organizations providing health-related services', 'Percentage of individuals aged 0-64 with health insurance coverage', 'Percentage of adults aged 25-54 who are employed', 'Percentage of individuals aged 16 and over employed in management, business, financial, computer, engineering, science, education, legal, community service, health, arts and media occupations', 'Median earnings in the past 12 months for civilian employees working full-time,', 'year-round', 'Median household income of all households', 'Percentage of individuals living in households with incomes below 100% of the federal poverty limit, reversed', 'Percentage of households receiving cash public assistance or Food Stamps/Supplemental Nutrition Assistance Program, reversed', 'Percentage of individuals with master’s, professional or doctoral degrees', 'Percentage of households with incomes at or above $125,000', 'Percentage of individuals without a high school degree, reversed', 'Percentage of households with incomes below $20,000, reversed', 'Percentage of households with connections to high speed broadband internet', 'Percentage of housing units with >1 occupant per room, reversed', 'The prevalence of high-socioeconomic status (SES) friends among low-SES individuals (economic connectedness)', 'Percentage of family households that are headed by a single-parent, reversed', 'Density of non-profit organizations', 'Percentage of housing units that are owner-occupied', 'Aggregate home value (dollars) divided by the number of children aged 0-17', 'Aggregate interest, dividends, or net rental income (dollars) divided by the number of children aged 0-17', 'Aggregate real estate taxes paid (dollars) divided by the number of children aged 0-17']
['Child Opportunity Index']
Diversity Data Kids. (n.d.). Child opportunity index. The Institute for Child, Youth, and Family Policy. Retrieved [Date], from https://www.diversitydatakids.org/child-opportunity-index
None
City Health Dashboard
[]
['The City Health Dashboard provides communities and city leaders with an array of regularly updated data specific to neighborhood and/or city boundaries—such as life expectancy, park access, and children in poverty, that may serve to improve the health and well-being of everyone in the community. The database and interactive web tool enables exploration of the factors that shape health and the drivers of health equity in the city level.']
['eng']
['Warning: Some of the measures included are <i> modeled</I> predictions at the small area level. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure. Modeled data should be used with tremendous caution in analytical work.']
['Department of Population Health, NYU Langone Health']
['Department of Population Health, NYU Langone Health']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps', 'Websites']
['Table data']
['Demographics', 'Employment', 'Health and Healthcare', 'Neighborhood and Built Environment', 'Physical Activity and Lifestyle', 'Social and Community Context']
['Economy', 'Environment', 'Health']
['Health Equity', 'Urban Health', 'SDOH', 'US Census']
['2010-2020']
None
[2010, 2020]
[]
['Auburn, Alabama', 'Birmingham, Alabama', 'Decatur, Alabama', 'Dothan, Alabama', 'Hoover, Alabama', 'Huntsville, Alabama', 'Madison, Alabama', 'Mobile, Alabama', 'Montgomery, Alabama', 'Tuscaloosa, Alabama', 'Anchorage, Alaska', 'Avondale, Arizona', 'Buckeye, Arizona', 'Casa Grande, Arizona', 'Chandler, Arizona', 'Flagstaff, Arizona', 'Gilbert, Arizona', 'Glendale, Arizona', 'Goodyear, Arizona', 'Kingman, Arizona', 'Lake Havasu City, Arizona', 'Marana, Arizona', 'Maricopa, Arizona', 'Mesa, Arizona', 'Peoria, Arizona', 'Phoenix, Arizona', 'Queen Creek, Arizona', 'Scottsdale, Arizona', 'Surprise, Arizona', 'Tempe, Arizona', 'Tucson, Arizona', 'Yuma, Arizona', 'Bentonville, Arkansas', 'Conway, Arkansas', 'Fayetteville, Arkansas', 'Fort Smith, Arkansas', 'Jonesboro, Arkansas', 'Little Rock, Arkansas', 'North Little Rock, Arkansas', 'Rogers, Arkansas', 'Springdale, Arkansas', 'Alameda, California', 'Alhambra, California', 'Aliso Viejo, California', 'Anaheim, California', 'Antioch, California', 'Apple Valley, California', 'Arcadia, California', 'Azusa, California', 'Bakersfield, California', 'Baldwin Park, California', 'Beaumont, California', 'Bellflower, California', 'Berkeley, California', 'Brentwood, California', 'Buena Park, California', 'Burbank, California', 'Camarillo, California', 'Carlsbad, California', 'Carson, California', 'Cathedral City, California', 'Cerritos, California', 'Chico, California', 'Chino, California', 'Chino Hills, California', 'Chula Vista, California', 'Citrus Heights, California', 'Clovis, California', 'Colton, California', 'Compton, California', 'Concord, California', 'Corona, California', 'Costa Mesa, California', 'Covina, California', 'Cupertino, California', 'Cypress, California', 'Daly City, California', 'Davis, California', 'Delano, California', 'Diamond Bar, California', 'Downey, California', 'Dublin, California', 'Eastvale, California', 'El Cajon, California', 'El Monte, California', 'Elk Grove, California', 'Encinitas, California', 'Escondido, California', 'Fairfield, California', 'Folsom, California', 'Fontana, California', 'Fountain Valley, California', 'Fremont, California', 'Fresno, California', 'Fullerton, California', 'Garden Grove, California', 'Gardena, California', 'Gilroy, California', 'Glendale, California', 'Glendora, California', 'Hanford, California', 'Hawthorne, California', 'Hayward, California', 'Hemet, California', 'Hesperia, California', 'Highland, California', 'Huntington Beach, California', 'Huntington Park, California', 'Indio, California', 'Inglewood, California', 'Irvine, California', 'Jurupa Valley, California', 'La Habra, California', 'La Mesa, California', 'Laguna Niguel, California', 'Lake Elsinore, California', 'Lake Forest, California', 'Lakewood, California', 'Lancaster, California', 'Livermore, California', 'Lodi, California', 'Long Beach, California', 'Los Angeles, California', 'Lynwood, California', 'Madera, California', 'Manteca, California', 'Menifee, California', 'Merced, California', 'Milpitas, California', 'Mission Viejo, California', 'Modesto, California', 'Montebello, California', 'Monterey Park, California', 'Moreno Valley, California', 'Mountain View, California', 'Murrieta, California', 'Napa, California', 'National City, California', 'Newport Beach, California', 'Norwalk, California', 'Novato, California', 'Oakland, California', 'Oceanside, California', 'Ontario, California', 'Orange, California', 'Oxnard, California', 'Palm Desert, California', 'Palmdale, California', 'Palo Alto, California', 'Paramount, California', 'Pasadena, California', 'Perris, California', 'Petaluma, California', 'Pico Rivera, California', 'Pittsburg, California', 'Placentia, California', 'Pleasanton, California', 'Pomona, California', 'Porterville, California', 'Rancho Cordova, California', 'Rancho Cucamonga, California', 'Redding, California', 'Redlands, California', 'Redondo Beach, California', 'Redwood City, California', 'Rialto, California', 'Richmond, California', 'Riverside, California', 'Rocklin, California', 'Rosemead, California', 'Roseville, California', 'Sacramento, California', 'Salinas, California', 'San Bernardino, California', 'San Buenaventura (Ventura), California', 'San Clemente, California', 'San Diego, California', 'San Francisco, California', 'San Jacinto, California', 'San Jose, California', 'San Leandro, California', 'San Marcos, California', 'San Mateo, California', 'San Rafael, California', 'San Ramon, California', 'Santa Ana, California', 'Santa Barbara, California', 'Santa Clara, California', 'Santa Clarita, California', 'Santa Cruz, California', 'Santa Maria, California', 'Santa Monica, California', 'Santa Rosa, California', 'Santee, California', 'Simi Valley, California', 'South Gate, California', 'South San Francisco, California', 'Stockton, California', 'Sunnyvale, California', 'Temecula, California', 'Thousand Oaks, California', 'Torrance, California', 'Tracy, California', 'Tulare, California', 'Turlock, California', 'Tustin, California', 'Union City, California', 'Upland, California', 'Vacaville, California', 'Vallejo, California', 'Victorville, California', 'Visalia, California', 'Vista, California', 'Walnut Creek, California', 'Watsonville, California', 'West Covina, California', 'West Sacramento, California', 'Westminster, California', 'Whittier, California', 'Woodland, California', 'Yorba Linda, California', 'Yuba City, California', 'Yucaipa, California', 'Arvada, Colorado', 'Aurora, Colorado', 'Boulder, Colorado', 'Broomfield, Colorado', 'Castle Rock, Colorado', 'Centennial, Colorado', 'Colorado Springs, Colorado', 'Commerce City, Colorado', 'Denver, Colorado', 'Fort Collins, Colorado', 'Grand Junction, Colorado', 'Greeley, Colorado', 'Lakewood, Colorado', 'Longmont, Colorado', 'Loveland, Colorado', 'Parker, Colorado', 'Pueblo, Colorado', 'Thornton, Colorado', 'Westminster, Colorado', 'Bridgeport, Connecticut', 'Bristol, Connecticut', 'Danbury, Connecticut', 'East Hartford, Connecticut', 'Fairfield, Connecticut', 'Greenwich, Connecticut', 'Hamden, Connecticut', 'Hartford, Connecticut', 'Manchester, Connecticut', 'Meriden, Connecticut', 'Milford, Connecticut', 'New Britain, Connecticut', 'New Haven, Connecticut', 'Norwalk, Connecticut', 'Stamford, Connecticut', 'Stratford, Connecticut', 'Waterbury, Connecticut', 'West Hartford, Connecticut', 'West Haven, Connecticut', 'Wilmington, Delaware', 'Washington, District of Columbia', 'Apopka, Florida', 'Boca Raton, Florida', 'Bonita Springs, Florida', 'Boynton Beach, Florida', 'Bradenton, Florida', 'Cape Coral, Florida', 'Clearwater, Florida', 'Coconut Creek, Florida', 'Coral Gables, Florida', 'Coral Springs, Florida', 'Davie, Florida', 'Daytona Beach, Florida', 'Deerfield Beach, Florida', 'DeLand, Florida', 'Delray Beach, Florida', 'Deltona, Florida', 'Doral, Florida', 'Fort Lauderdale, Florida', 'Fort Myers, Florida', 'Gainesville, Florida', 'Hialeah, Florida', 'Hollywood, Florida', 'Homestead, Florida', 'Jacksonville, Florida', 'Jupiter, Florida', 'Kissimmee, Florida', 'Lakeland, Florida', 'Largo, Florida', 'Lauderhill, Florida', 'Margate, Florida', 'Melbourne, Florida', 'Miami, Florida', 'Miami Beach, Florida', 'Miami Gardens, Florida', 'Miramar, Florida', 'North Miami, Florida', 'North Port, Florida', 'Ocala, Florida', 'Orlando, Florida', 'Palm Bay, Florida', 'Palm Beach Gardens, Florida', 'Palm Coast, Florida', 'Pembroke Pines, Florida', 'Pensacola, Florida', 'Pinellas Park, Florida', 'Plantation, Florida', 'Pompano Beach, Florida', 'Port Orange, Florida', 'Port St. Lucie, Florida', 'Sanford, Florida', 'Sarasota, Florida', 'St. Cloud, Florida', 'St. Petersburg, Florida', 'Sunrise, Florida', 'Tallahassee, Florida', 'Tamarac, Florida', 'Tampa, Florida', 'Wellington, Florida', 'West Palm Beach, Florida', 'Weston, Florida', 'Albany, Georgia', 'Alpharetta, Georgia', 'Athens, Georgia', 'Atlanta, Georgia', 'Augusta, Georgia', 'Brookhaven, Georgia', 'Columbus, Georgia', 'Dunwoody, Georgia', 'East Point, Georgia', 'Johns Creek, Georgia', 'Macon, Georgia', 'Marietta, Georgia', 'Roswell, Georgia', 'Sandy Springs, Georgia', 'Savannah, Georgia', 'Smyrna, Georgia', 'South Fulton, Georgia', 'Stonecrest, Georgia', 'Valdosta, Georgia', 'Warner Robins, Georgia', 'Honolulu, Hawaii', 'Boise City, Idaho', 'Caldwell, Idaho', "Coeur d'Alene, Idaho", 'Idaho Falls, Idaho', 'Meridian, Idaho', 'Nampa, Idaho', 'Pocatello, Idaho', 'Twin Falls, Idaho', 'Arlington Heights, Illinois', 'Aurora, Illinois', 'Berwyn, Illinois', 'Bloomington, Illinois', 'Bolingbrook, Illinois', 'Champaign, Illinois', 'Chicago, Illinois', 'Cicero, Illinois', 'Decatur, Illinois', 'Des Plaines, Illinois', 'Downers Grove, Illinois', 'Elgin, Illinois', 'Evanston, Illinois', 'Hoffman Estates, Illinois', 'Joliet, Illinois', 'Mount Prospect, Illinois', 'Naperville, Illinois', 'Normal, Illinois', 'Oak Lawn, Illinois', 'Oak Park, Illinois', 'Orland Park, Illinois', 'Palatine, Illinois', 'Peoria, Illinois', 'Rockford, Illinois', 'Schaumburg, Illinois', 'Skokie, Illinois', 'Springfield, Illinois', 'Tinley Park, Illinois', 'Waukegan, Illinois', 'Wheaton, Illinois', 'Anderson, Indiana', 'Bloomington, Indiana', 'Carmel, Indiana', 'Columbus, Indiana', 'Elkhart, Indiana', 'Evansville, Indiana', 'Fishers, Indiana', 'Fort Wayne, Indiana', 'Gary, Indiana', 'Greenwood, Indiana', 'Hammond, Indiana', 'Indianapolis, Indiana', 'Kokomo, Indiana', 'Lafayette, Indiana', 'Liberty, Indiana', 'Mishawaka, Indiana', 'Muncie, Indiana', 'Noblesville, Indiana', 'South Bend, Indiana', 'Terre Haute, Indiana', 'Ames, Iowa', 'Ankeny, Iowa', 'Cedar Rapids, Iowa', 'Council Bluffs, Iowa', 'Davenport, Iowa', 'Des Moines, Iowa', 'Dubuque, Iowa', 'Iowa City, Iowa', 'Sioux City, Iowa', 'Waterloo, Iowa', 'West Des Moines, Iowa', 'Kansas City, Kansas', 'Lawrence, Kansas', 'Lenexa, Kansas', 'Manhattan, Kansas', 'Olathe, Kansas', 'Overland Park, Kansas', 'Shawnee, Kansas', 'Topeka, Kansas', 'Wichita, Kansas', 'Bowling Green, Kentucky', 'Lexington, Kentucky', 'Louisville, Kentucky', 'Owensboro, Kentucky', 'Baton Rouge, Louisiana', 'Bossier City, Louisiana', 'Kenner, Louisiana', 'Lafayette, Louisiana', 'Lake Charles, Louisiana', 'New Orleans, Louisiana', 'Shreveport, Louisiana', 'Portland, Maine', 'Baltimore, Maryland', 'Bowie, Maryland', 'Frederick, Maryland', 'Gaithersburg, Maryland', 'Rockville, Maryland', 'Boston, Massachusetts', 'Brockton, Massachusetts', 'Brookline, Massachusetts', 'Cambridge, Massachusetts', 'Chicopee, Massachusetts', 'Fall River, Massachusetts', 'Framingham, Massachusetts', 'Haverhill, Massachusetts', 'Lawrence, Massachusetts', 'Lowell, Massachusetts', 'Lynn, Massachusetts', 'Malden, Massachusetts', 'Medford, Massachusetts', 'Methuen Town, Massachusetts', 'New Bedford, Massachusetts', 'Newburyport, Massachusetts', 'Newton, Massachusetts', 'Peabody, Massachusetts', 'Plymouth, Massachusetts', 'Quincy, Massachusetts', 'Revere, Massachusetts', 'Somerville, Massachusetts', 'Springfield, Massachusetts', 'Taunton, Massachusetts', 'Waltham, Massachusetts', 'Weymouth Town, Massachusetts', 'Worcester, Massachusetts', 'Ann Arbor, Michigan', 'Battle Creek, Michigan', 'Canton, Michigan', 'Clinton, Michigan', 'Dearborn, Michigan', 'Dearborn Heights, Michigan', 'Detroit, Michigan', 'Farmington Hills, Michigan', 'Flint, Michigan', 'Georgetown, Michigan', 'Grand Rapids, Michigan', 'Kalamazoo, Michigan', 'Kentwood, Michigan', 'Lansing, Michigan', 'Livonia, Michigan', 'Macomb, Michigan', 'Novi, Michigan', 'Pontiac, Michigan', 'Rochester Hills, Michigan', 'Royal Oak, Michigan', 'Shelby, Michigan', 'Southfield, Michigan', 'St. Clair Shores, Michigan', 'Sterling Heights, Michigan', 'Taylor, Michigan', 'Troy, Michigan', 'Warren, Michigan', 'Waterford, Michigan', 'West Bloomfield, Michigan', 'Westland, Michigan', 'Wyoming, Michigan', 'Ypsilanti, Michigan', 'Apple Valley, Minnesota', 'Blaine, Minnesota', 'Bloomington, Minnesota', 'Brooklyn Park, Minnesota', 'Burnsville, Minnesota', 'Coon Rapids, Minnesota', 'Duluth, Minnesota', 'Eagan, Minnesota', 'Eden Prairie, Minnesota', 'Edina, Minnesota', 'Lakeville, Minnesota', 'Maple Grove, Minnesota', 'Minneapolis, Minnesota', 'Minnetonka, Minnesota', 'Plymouth, Minnesota', 'Rochester, Minnesota', 'St. Cloud, Minnesota', 'St. Louis Park, Minnesota', 'St. Paul, Minnesota', 'Woodbury, Minnesota', 'Gulfport, Mississippi', 'Jackson, Mississippi', 'Southaven, Mississippi', 'Blue Springs, Missouri', 'Columbia, Missouri', 'Florissant, Missouri', 'Independence, Missouri', 'Joplin, Missouri', 'Kansas City, Missouri', "Lee's Summit, Missouri", "O'Fallon, Missouri", 'Springfield, Missouri', 'St. Charles, Missouri', 'St. Joseph, Missouri', 'St. Louis, Missouri', 'St. Peters, Missouri', 'Billings, Montana', 'Bozeman, Montana', 'Great Falls, Montana', 'Missoula, Montana', 'Bellevue, Nebraska', 'Grand Island, Nebraska', 'Lincoln, Nebraska', 'Omaha, Nebraska', 'Carson City, Nevada', 'Henderson, Nevada', 'Las Vegas, Nevada', 'North Las Vegas, Nevada', 'Reno, Nevada', 'Sparks, Nevada', 'Manchester, New Hampshire', 'Nashua, New Hampshire', 'Asbury Park, New Jersey', 'Bayonne, New Jersey', 'Bernards, New Jersey', 'Bloomfield, New Jersey', 'Bound Brook, New Jersey', 'Brick, New Jersey', 'Burlington, New Jersey', 'Camden, New Jersey', 'Cherry Hill, New Jersey', 'Clayton, New Jersey', 'Clifton, New Jersey', 'Cranbury, New Jersey', 'East Orange, New Jersey', 'Edison, New Jersey', 'Egg Harbor City, New Jersey', 'Elizabeth, New Jersey', 'Franklin, New Jersey', 'Freehold, New Jersey', 'Glassboro, New Jersey', 'Gloucester, New Jersey', 'Hackensack, New Jersey', 'Hamilton, New Jersey', 'Hammonton, New Jersey', 'Highlands, New Jersey', 'Hillsborough, New Jersey', 'Hoboken, New Jersey', 'Howell, New Jersey', 'Irvington, New Jersey', 'Jackson, New Jersey', 'Jersey City, New Jersey', 'Lakewood, New Jersey', 'Lawnside, New Jersey', 'Linden, New Jersey', 'Middletown, New Jersey', 'Millville, New Jersey', 'New Brunswick, New Jersey', 'Newark, New Jersey', 'North Bergen, New Jersey', 'Old Bridge, New Jersey', 'Parsippany-Troy Hills, New Jersey', 'Passaic, New Jersey', 'Paterson, New Jersey', 'Penns Grove, New Jersey', 'Perth Amboy, New Jersey', 'Piscataway, New Jersey', 'Plainfield, New Jersey', 'Pleasantville, New Jersey', 'Princeton, New Jersey', 'Ridgewood, New Jersey', 'Salem, New Jersey', 'South Bound Brook, New Jersey', 'Toms River, New Jersey', 'Trenton, New Jersey', 'Union, New Jersey', 'Union City, New Jersey', 'Vineland, New Jersey', 'Wayne, New Jersey', 'West New York, New Jersey', 'Woodbridge, New Jersey', 'Albuquerque, New Mexico', 'Las Cruces, New Mexico', 'Rio Rancho, New Mexico', 'Santa Fe, New Mexico', 'Albany, New York', 'Amherst, New York', 'Babylon, New York', 'Brookhaven, New York', 'Buffalo, New York', 'Cheektowaga, New York', 'Clarkstown, New York', 'Clay, New York', 'Colonie, New York', 'Greece, New York', 'Greenburgh, New York', 'Hamburg, New York', 'Hempstead Town, New York', 'Hempstead Village, New York', 'Huntington, New York', 'Irondequoit, New York', 'Islip, New York', 'Mount Vernon, New York', 'New Rochelle, New York', 'New York, New York', 'North Hempstead, New York', 'Oyster Bay, New York', 'Ramapo, New York', 'Rochester, New York', 'Schenectady, New York', 'Smithtown, New York', 'Southampton, New York', 'Syracuse, New York', 'Tonawanda, New York', 'Troy, New York', 'Union, New York', 'Utica, New York', 'White Plains, New York', 'Yonkers, New York', 'Apex, North Carolina', 'Asheville, North Carolina', 'Burlington, North Carolina', 'Cary, North Carolina', 'Chapel Hill, North Carolina', 'Charlotte, North Carolina', 'Concord, North Carolina', 'Durham, North Carolina', 'Fayetteville, North Carolina', 'Gastonia, North Carolina', 'Greensboro, North Carolina', 'Greenville, North Carolina', 'High Point, North Carolina', 'Huntersville, North Carolina', 'Jacksonville, North Carolina', 'Kannapolis, North Carolina', 'Mooresville, North Carolina', 'Raleigh, North Carolina', 'Rocky Mount, North Carolina', 'Wilmington, North Carolina', 'Winston-Salem, North Carolina', 'Bismarck, North Dakota', 'Fargo, North Dakota', 'Grand Forks, North Dakota', 'Akron, Ohio', 'Athens, Ohio', 'Belpre, Ohio', 'Canton, Ohio', 'Chillicothe, Ohio', 'Cincinnati, Ohio', 'Cleveland, Ohio', 'Columbus, Ohio', 'Cuyahoga Falls, Ohio', 'Dayton, Ohio', 'Elyria, Ohio', 'Hamilton, Ohio', 'Kettering, Ohio', 'Lakewood, Ohio', 'Lorain, Ohio', 'Marietta, Ohio', 'Middletown, Ohio', 'Parma, Ohio', 'Port Clinton, Ohio', 'Springfield, Ohio', 'Toledo, Ohio', 'Youngstown, Ohio', 'Broken Arrow, Oklahoma', 'Edmond, Oklahoma', 'Enid, Oklahoma', 'Lawton, Oklahoma', 'Midwest City, Oklahoma', 'Moore, Oklahoma', 'Norman, Oklahoma', 'Oklahoma City, Oklahoma', 'Tulsa, Oklahoma', 'Albany, Oregon', 'Beaverton, Oregon', 'Bend, Oregon', 'Corvallis, Oregon', 'Eugene, Oregon', 'Gresham, Oregon', 'Hillsboro, Oregon', 'Medford, Oregon', 'Portland, Oregon', 'Roseburg, Oregon', 'Salem, Oregon', 'Springfield, Oregon', 'Tigard, Oregon', 'Abington, Pennsylvania', 'Allentown, Pennsylvania', 'Bensalem, Pennsylvania', 'Bethlehem, Pennsylvania', 'Bristol, Pennsylvania', 'Erie, Pennsylvania', 'Harrisburg, Pennsylvania', 'Haverford, Pennsylvania', 'Lancaster, Pennsylvania', 'Lower Merion, Pennsylvania', 'Lower Paxton, Pennsylvania', 'Millcreek, Pennsylvania', 'Philadelphia, Pennsylvania', 'Pittsburgh, Pennsylvania', 'Reading, Pennsylvania', 'Scranton, Pennsylvania', 'Upper Darby, Pennsylvania', 'Cranston, Rhode Island', 'Pawtucket, Rhode Island', 'Providence, Rhode Island', 'Warwick, Rhode Island', 'Charleston, South Carolina', 'Columbia, South Carolina', 'Florence, South Carolina', 'Greenville, South Carolina', 'Mount Pleasant, South Carolina', 'North Charleston, South Carolina', 'Rock Hill, South Carolina', 'Spartanburg, South Carolina', 'Summerville, South Carolina', 'Rapid City, South Dakota', 'Sioux Falls, South Dakota', 'Bartlett, Tennessee', 'Chattanooga, Tennessee', 'Clarksville, Tennessee', 'Collierville, Tennessee', 'Franklin, Tennessee', 'Hendersonville, Tennessee', 'Jackson, Tennessee', 'Johnson City, Tennessee', 'Kingsport, Tennessee', 'Knoxville, Tennessee', 'Memphis, Tennessee', 'Murfreesboro, Tennessee', 'Nashville, Tennessee', 'Smyrna, Tennessee', 'Spring Hill, Tennessee', 'Abilene, Texas', 'Allen, Texas', 'Amarillo, Texas', 'Arlington, Texas', 'Austin, Texas', 'Baytown, Texas', 'Beaumont, Texas', 'Brownsville, Texas', 'Bryan, Texas', 'Carrollton, Texas', 'Cedar Park, Texas', 'College Station, Texas', 'Conroe, Texas', 'Corpus Christi, Texas', 'Dallas, Texas', 'Denton, Texas', 'DeSoto, Texas', 'Edinburg, Texas', 'El Paso, Texas', 'Euless, Texas', 'Flower Mound, Texas', 'Fort Worth, Texas', 'Frisco, Texas', 'Galveston, Texas', 'Garland, Texas', 'Georgetown, Texas', 'Grand Prairie, Texas', 'Grapevine, Texas', 'Harlingen, Texas', 'Houston, Texas', 'Irving, Texas', 'Killeen, Texas', 'Laredo, Texas', 'League City, Texas', 'Leander, Texas', 'Lewisville, Texas', 'Longview, Texas', 'Lubbock, Texas', 'Mansfield, Texas', 'McAllen, Texas', 'McKinney, Texas', 'Mesquite, Texas', 'Midland, Texas', 'Mission, Texas', 'Missouri City, Texas', 'New Braunfels, Texas', 'North Richland Hills, Texas', 'Odessa, Texas', 'Pasadena, Texas', 'Pearland, Texas', 'Pflugerville, Texas', 'Pharr, Texas', 'Plano, Texas', 'Port Arthur, Texas', 'Richardson, Texas', 'Round Rock, Texas', 'Rowlett, Texas', 'San Angelo, Texas', 'San Antonio, Texas', 'San Marcos, Texas', 'Sugar Land, Texas', 'Temple, Texas', 'Texas City, Texas', 'Tyler, Texas', 'Victoria, Texas', 'Waco, Texas', 'Wichita Falls, Texas', 'Wylie, Texas', 'Draper, Utah', 'Herriman, Utah', 'Layton, Utah', 'Lehi, Utah', 'Logan, Utah', 'Millcreek, Utah', 'Murray, Utah', 'Ogden, Utah', 'Orem, Utah', 'Provo, Utah', 'Salt Lake City, Utah', 'Sandy, Utah', 'South Jordan, Utah', 'St. George, Utah', 'Taylorsville, Utah', 'West Jordan, Utah', 'West Valley City, Utah', 'Burlington, Vermont', 'Alexandria, Virginia', 'Charlottesville, Virginia', 'Chesapeake, Virginia', 'Hampton, Virginia', 'Harrisonburg, Virginia', 'Hopewell, Virginia', 'Leesburg, Virginia', 'Lynchburg, Virginia', 'Newport News, Virginia', 'Norfolk, Virginia', 'Petersburg, Virginia', 'Portsmouth, Virginia', 'Richmond, Virginia', 'Roanoke, Virginia', 'Suffolk, Virginia', 'Virginia Beach, Virginia', 'Auburn, Washington', 'Bellevue, Washington', 'Bellingham, Washington', 'Burien, Washington', 'Everett, Washington', 'Federal Way, Washington', 'Kennewick, Washington', 'Kent, Washington', 'Kirkland, Washington', 'Lacey, Washington', 'Lakewood, Washington', 'Marysville, Washington', 'Olympia, Washington', 'Pasco, Washington', 'Redmond, Washington', 'Renton, Washington', 'Richland, Washington', 'Sammamish, Washington', 'Seattle, Washington', 'Shoreline, Washington', 'Spokane, Washington', 'Spokane Valley, Washington', 'Tacoma, Washington', 'Vancouver, Washington', 'Yakima, Washington', 'Charleston, West Virginia', 'Morgantown, West Virginia', 'Appleton, Wisconsin', 'Eau Claire, Wisconsin', 'Green Bay, Wisconsin', 'Janesville, Wisconsin', 'Kenosha, Wisconsin', 'La Crosse, Wisconsin', 'Madison, Wisconsin', 'Milwaukee, Wisconsin', 'Oshkosh, Wisconsin', 'Racine, Wisconsin', 'Rhinelander, Wisconsin', 'Waukesha, Wisconsin', 'West Allis, Wisconsin', 'Casper, Wyoming', 'Cheyenne, Wyoming']
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
['https://www.cityhealthdashboard.com/terms-of-use']
['None']
[]
Public
CSV
23.1 mb
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None
herop-xtoqlx
[]
2025-09-02T21:17:04Z
SDOH PlaceProject
False
['City', 'Census Tract']
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None
['Dental Care', 'Prenatal Care', 'Routine', 'Checkup, 18+', 'Uninsured', 'Binge Drinking', 'Physical Inactivity', 'Smoking', 'Teen Births', 'Breast Cancer Deaths', 'Cardiovascular Disease Deaths', 'Colorectal Cancer Deaths', 'Diabetes', 'Firearm Homicides', 'Firearm Suicides', 'Frequent Mental Distress', 'Frequent Physical Distress', 'High Blood Pressure', 'Independent Living Difficulty', 'Life Expectancy', 'Low Birthweight', 'Obesity', 'Opioid Overdose Deaths', 'Premature Deaths (All Causes)', 'Air Pollution - Ozone', 'Air Pollution -Particulate Matter', 'Housing with Potential Lead Risk', 'Lead Exposure Risk Index', 'Park Access', 'Walkability', 'Broadband Connection', 'Children in Poverty', 'Chronic Absenteeism', 'Credit Insecurity Index', 'High School Completion', 'Income Inequality', 'Neighborhood Racial/Ethnic Segregation', 'Racial/Ethnic Diversity', 'Rent Burden', 'Third-Grade Reading Scores', 'Unemployment - Annual, Neighborhood-Level', 'Unemployment - Current, City-Level', 'Voter Turnout', 'Youth Not in Work or School']
['FIPS code for the city or census tract', 'Name of the city or tract', 'The geographic level of geo_fips', 'FIPS code for the city in which the', 'tract resides', 'Name of the city in which the tract', 'resides', 'The geographic level of parent_fips', 'State FIPS code', 'State abbreviation', 'State name', 'Year of the census that correlates', 'with geographic boundaries', 'State abbreviation', 'State FIPS code', 'FIPS code for the city', 'The geographic level of geo_fips', 'Name of the city', 'Metric name', 'Demographic group', 'Year or Year and Month of data', 'Source name', 'Year of the census that correlates with', 'geographic boundaries', 'Information about unavailable data or', 'data cautions', 'Information about county data', 'Information about data aggregation', 'Concatenation of geo_fips,', 'parent_fips,', 'census_parent_shape_year', 'Category of demographic group', 'Demographic group']
[]
Department of Population Health, NYU Langone Health. City Health Dashboard. https://www.cityhealthdashboard.com/. Accessed [INSERT DATE OF ACCESS].
Error margins are not displayed on the dashboard. However, they are available in the downloadable data files and in the tabular view of the city data. Estimates of similar metrics may differ between the Dashboard and other resources due to different data sources and analytic techniques. When comparing the Dashboard’s estimates to other similar metrics on similar sites, please use caution and refer to the City Health Dashboard Technical Document to understand all potential sources of difference.
Congressional District Health Dashboard
['Congressional District Health Dashboard']
['The Congressional District Health Dashboard provides actionable measures of health and its drivers calculated at the congressional district level, showing users how their district is doing on health outcomes, social and economic factors, and more. The Dashboard incorporates the 2022 redrawn district boundaries based on the 2020 census, corresponding to the 118th Congressional session that started in January 2023. Data are sourced by a team at the NYU Grossman School of Medicine’s Department of Population Health from federal, state, and other datasets with rigorous standards for collection and analysis.']
['eng']
['The list of methodological variables presented here is not exhaustive; however, we have made every effort to incorporate as many relevant variables as possible within the scope of this study.']
['Department of Population Health, NYU Langone Health']
['Department of Population Health, NYU Langone Health']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps', 'Websites']
['Table data']
['Demographics', 'Health and Healthcare', 'Physical Activity and Lifestyle', 'Social and Community Context']
['Health', 'Society']
['Clinical Care', 'Health Behavior', 'Health Outcomes', 'Physical Environment', 'Social & Economic Factors', 'Congressional', 'Congressional District']
[]
2023
[2022]
['2020']
['United States']
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2025-04-03T14:01:19Z
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[]
The Congressional District Health Dashboard provides data at the congressional district level, meaning its spatial resolution is district-scale rather than city, county, or census tract levels.
['Social and Economic Factors', 'Physical Environment', 'Breast Cancer Deaths', 'Broadband Connection', 'Air Pollution - Ozone', 'Cardiovascular Disease Deaths', 'Children in Poverty', 'Air Pollution - Particulate Matter', 'Colorectal Cancer Deaths', 'Chronic Absenteeism', 'Housing with Potential Lead Risk', 'Diabetes', 'High School Completion', 'Lead Exposure Risk Index', 'Firearm Homicides', 'Income Inequality', 'Firearm Suicides', 'Neighborhood Racial/Ethnic Segregation', 'Frequent Mental Distress', 'Racial/Ethnic Diversity', 'Dental Care', 'Frequent Physical Distress', 'Rent Burden', 'Medicaid Enrollment', 'High Blood Pressure', 'Unemployment', 'Prenatal Care', 'Life Expectancy', 'Health Behavior', 'Preventive Services, 65+', 'Low Birthweight', 'Binge Drinking', 'Routine Checkup, 18+', 'Obesity', 'Physical Inactivity', 'Uninsured Population', 'Opioid Overdose Deaths', 'Smoking', 'Premature Deaths', 'Teen Births']
['Social and Economic Factors', 'Physical Environment', 'Breast Cancer Deaths', 'Broadband Connection', 'Air Pollution - Ozone', 'Cardiovascular Disease Deaths', 'Children in Poverty', 'Air Pollution - Particulate Matter', 'Colorectal Cancer Deaths', 'Chronic Absenteeism', 'Housing with Potential Lead Risk', 'Diabetes', 'High School Completion', 'Lead Exposure Risk Index', 'Firearm Homicides', 'Income Inequality', 'Firearm Suicides', 'Neighborhood Racial/Ethnic Segregation', 'Frequent Mental Distress', 'Racial/Ethnic Diversity', 'Dental Care', 'Frequent Physical Distress', 'Rent Burden', 'Medicaid Enrollment', 'High Blood Pressure', 'Unemployment', 'Prenatal Care', 'Life Expectancy', 'Health Behavior', 'Preventive Services, 65+', 'Low Birthweight', 'Binge Drinking', 'Routine Checkup, 18+', 'Obesity', 'Physical Inactivity', 'Uninsured Population', 'Opioid Overdose Deaths', 'Smoking', 'Premature Deaths', 'Teen Births']
[]
Department of Population Health, NYU Langone Health. Congressional District Health Dashboard. https://www.congressionaldistricthealthdashboard.org/. Accessed [INSERT DATE OF ACCESS].
These variables are primarily derived from sources such as the American Community Survey (ACS), Behavioral Risk Factor Surveillance System (BRFSS), Centers for Disease Control and Prevention (CDC), National Vital Statistics System (NVSS), and the U.S. Small-Area Life Expectancy Project (USALEEP). Many of these measures are aggregated from census tract or county data to estimate values at the congressional district level​.
County Health Rankings
['County Health Rankings & Roadmaps (CHR&R)']
['The County Health Rankings & Roadmaps (CHR&R) program provides an annual data release to generate a snapshot of how health is influenced by where people live, learn, work, and play, drawing attention to why there are differences in health within and across communities. Each annual data release features a well documented model and dozens of measures related to health outcomes as well as health behaviors, clinical care, social and economic factors, and physical environment. Files associated with each release will also include national statistics, state-level data and technical documentation including changes to measures, guidelines for comparing data across states, information about data years and sources, and more.']
['eng']
['Be sure to check technical documentation for each year of release to check for updates, as the data model approach is continually refined.']
['University of Wisconsin Population Health Institute']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps', 'Websites']
['Polygon data']
['Demographics', 'Economic Stability', 'Employment', 'Education', 'Food Environment', 'Health and Healthcare', 'Housing', 'Neighborhood and Built Environment', 'Physical Activity and Lifestyle', 'Social and Community Context', 'Transportation and Infrastructure']
['Health', 'Society', 'Structure', 'Transportation']
['Structural determinants of Health', 'Health Outcomes', 'SDOH', 'Health Behaviors', 'Clinical Care', 'Social and Economic Factors', 'Physical Environment']
['2010-2024']
None
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
['See terms of use: https://www.countyhealthrankings.org/terms-use']
[]
[]
Public
None
None
{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation/national-data-documentation-2010-2022', 'http://schema.org/url': 'https://www.countyhealthrankings.org/', 'http://schema.org/downloadUrl': 'https://www.countyhealthrankings.org/health-data/county-health-rankings-measures'}
None
herop-cfmkuz
[]
2025-09-02T21:36:02Z
SDOH PlaceProject
False
['County']
['']
None
['Years of Potential Life Lost Rate', 'Percent Fair or Poor Health', 'Average Number of Physically Unhealthy Days', 'Average Number of Mentally Unhealthy Days', 'Percent Low birthweight', 'Food Environment Index', 'Average Daily PM2.5', 'Percent Adults Reporting Currently Smoking', 'Percent Adults with Obesity', 'Percent Physically Inactive', 'Percent With Access to Exercise Opportunities', 'Percent Excessive Drinking', 'Percent Driving Deaths with Alcohol Involvement', 'Chlamydia Rate', 'Teen Birth Rate', 'Percent Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hospitalization Rate', 'Percent With Annual Mammogram', 'Percent Flu Vaccinated', 'Percent Completed High School', 'Percent Some College', 'Percent Unemployed', 'Percent Children in Poverty', 'Income Ratio', 'Percent Children in Single-Parent Households', 'Social Association Rate', 'Injury Death Rate', 'Presence of Water Violation', 'Percent Severe Housing Problems', 'Percent Drive Alone to Work', 'Percent Long Commute - Drives Alone']
['State FIPS Code', 'County FIPS Code', '5-digit FIPS Code', 'State Abbreviation', 'Name', 'Release Year', 'County Clustered (Yes=1/No=0)', 'Premature Death', 'Poor Physical Health Days', 'Poor Mental Health Days', 'Low Birth Weight', 'Poor or Fair Health', 'Flu Vaccinations', 'Access to Exercise Opportunities', 'Food Environment Index', 'Primary Care Physicians', 'Mental Health Providers', 'Ratio of population to primary care physicians', 'Dentists', 'Ratio of population to dentists', 'Preventable Hospital Stays', 'Mammography Screening', 'Uninsured', 'Severe Housing Problems', 'Percentage of households with high housing costs', 'Percentage of households with overcrowding', 'Driving Alone to Work', 'Long Commute', 'Air Pollution: Particulate Matter', 'Drinking Water Violations', 'Broadband Access', 'Library Access', 'Some College', 'High School Completion', 'Unemployment', 'Income Inequality', 'Children in Poverty', 'Injury Deaths', 'Social Associations', 'Child Care Cost Burden', 'Life Expectancy', 'Premature Age-Adjusted Mortality', 'Child Mortality', 'Infant Mortality', 'Frequent Physical Distress', 'Diabetes Prevalence', 'HIV Prevalence', 'Adult Obesity', 'Frequent Mental Distress', 'Suicides', 'Crude suicide rate', 'Feelings of Loneliness', 'Limited Access to Healthy Foods', 'Food Insecurity', 'Insufficient Sleep', 'Teen Births', 'Sexually Transmitted Infections', 'Excessive Drinking', 'Alcohol-Impaired Driving Deaths', 'Drug Overdose Deaths', 'Adult Smoking', 'Physical Inactivity', 'Uninsured Adults', 'Uninsured Children', 'Other Primary Care Providers', 'Traffic Volume', 'Homeownership', 'Severe Housing Cost Burden', 'Access to Parks', 'Adverse Climate Events', 'Census Participation', 'Voter Turnout', 'High School Graduation', 'Reading Scores', 'Math Scores', 'School Segregation', 'School Funding Adequacy', 'Children Eligible for Free or Reduced Price Lunch', 'Gender Pay Gap', 'Median Household Income', 'Living Wage', 'Child Care Centers', 'Residential Segregation', 'Homicides', 'Motor Vehicle Crash Deaths', 'Firearm Fatalities', 'Disconnected Youth', 'Lack of Social and Emotional Support', '% Below 18 Years of Age', '% 65 and Older', '% Female', '% American Indian or Alaska Native', '% Asian', '% Hispanic', '% Native Hawaiian or Other Pacific Islander', '% Non-Hispanic Black', '% Non-Hispanic White', '% Disability: Functional Limitations', '% Not Proficient in English', 'Children in Single-Parent Households', '% Rural', 'Population']
[]
University of Wisconsin Population Health Institute. County Health Rankings & Roadmaps 2024. www.countyhealthrankings.org.
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2010)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2010 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
['Health and Healthcare', 'Social and Community Context']
['Health']
[]
['2010-2024']
2010
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
herop-ipvqhh
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2025-04-03T14:01:19Z
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['County']
[]
None
['Average Daily PM2.5', 'Gini coefficient of household income inequality']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Binge Drinking', 'Motor vehicle crash death rate', 'Chlamydia rate per 100,000', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% Hospice Use', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', '% No Social-Emotional Support', '% Children in Single-Parent Households', 'Violent Crime Rate', 'Homicide Rate', 'Ozone Days', '%Access to healthy foods', 'Liquor Store Rate']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2011)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2011 release of the County Health Rankings']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2011
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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2025-04-03T14:01:19Z
SDOH PlaceProject
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['County']
[]
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['Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Excessive Drinking', 'Motor vehicle crash death rate', 'Sexually transmitted infections Rates per 100,000', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', '% No Social-Emotional Support', '% Children in Single-Parent Households', 'Violent Crime Rate', 'Homicide Rate', 'Ozone Days', 'Rec Facility Rate', '%Access to healthy foods']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2012)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2012 release of the County Health Rankings']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2012
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation/national-data-documentation-2010-2022'}
None
herop-ayhxms
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Excessive Drinking', 'Motor vehicle crash death rate', 'Sexually transmitted infections Rates per 100,000', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', '% No Social-Emotional Support', '% Children in Single-Parent Households', 'Violent Crime Rate', 'Ozone Days', 'Rec Facility Rate', '%Limited access to healthy foods', '%Access to healthy foods', '%Fast food restaurants']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2013)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2013 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2013
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
herop-chjxzw
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2025-04-03T14:01:19Z
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['Food Environment Index', ' Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Excessive Drinking', 'Motor vehicle crash death rate', 'Sexually transmitted infections Rates per 100,000', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', '% No Social-Emotional Support', '% Children in Single-Parent Households', 'Violent Crime Rate', 'Rec Facility Rate', '%Limited access to healthy foods', '%Fast food restaurants']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2014)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2014 release of the County Health Rankings']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2014
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
None
False
[]
[]
[]
[]
['herop-cfmkuz']
[]
[]
['None']
['None']
[]
Public
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9.6
{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation/national-data-documentation-2010-2022'}
None
herop-mithil
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food Environment Index', ' Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Access to exercise opportunities', '% Excessive Drinking', '% Alcohol-Impaired', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', '% Children in Single-Parent Households', '% No Social-Emotional Support', 'Violent Crime Rate', 'Injury Death Rate', '% pop in viol', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2015)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2015 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2015
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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['herop-cfmkuz']
[]
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['None']
[]
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{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation/national-data-documentation-2010-2022'}
None
herop-pgpbvq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food Environment Index', ' Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Access to exercise opportunities', '% Excessive Drinking', '% Alcohol-Impaired', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Violent Crime Rate', 'Injury Death Rate', '% Pop in Viol', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2016)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2016 release of the County Health Rankings']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2016
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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['herop-cfmkuz']
[]
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{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation/national-data-documentation-2010-2022'}
None
herop-getnha
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food Environment Index', ' Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', '% Access to exercise opportunities', '% Physically Inactive', '% With Access', '% Excessive Drinking', '% Alcohol-Impaired', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Violent Crime Rate', 'Injury Death Rate', 'Presence of violation', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2017)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes.This shows the 2017 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2017
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation/national-data-documentation-2010-2022'}
None
herop-baznxa
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2025-04-03T14:01:19Z
SDOH PlaceProject
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['County']
[]
None
['Food Environment Index', ' Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Access to exercise opportunities', '% Excessive Drinking', '% Alcohol-Impaired', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Association Rate', 'Violent Crime Rate', 'Injury Death Rate', 'Presence of violation', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2018)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2018 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2018
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
herop-breyfo
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2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food Environment Index', ' Average Daily PM2.5']
['Years of Potential Life-Lost Rate', ' % Fair/Poor', ' Physically Unhealthy Days', ' Mentally Unhealthy Days', '% Low Birth Weight', ' % Smokers', " '% Obese", '% Physically Inactive', '% Access to exercise opportunities', '% Excessive Drinking', '% Alcohol-Impaired', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hosp. Rate', '% Receiving HbA1c', '% With Annual Mammogram', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Violent Crime Rate', 'Injury Death Rate', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2019)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2019 release of the County Health Rankings. This shows the 2019 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
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Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
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[]
["'Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming'"]
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None
herop-mwidib
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food Environment Index', 'Average Daily PM2.5']
['Years of Potential Life-Lost Rate', '% Fair/Poor', 'Physically Unhealthy Days', 'Mentally Unhealthy Days', '% Low Birth Weight', '% Smokers', '% Obese', '% Physically Inactive', '% Access to exercise opportunities', '% Excessive Drinking', '% Alcohol-Impaired', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hosp. Rate', '% With Annual Mammogram', '% Flu Vaccinated', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Violent Crime Rate', 'Presence of violation', 'Injury Death Rate', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2020)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2020 release of the County Health Rankings']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
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['Polygon data']
[]
['Health']
[]
['2010-2024']
2020
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
["Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming"]
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[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food environment index', 'Average Daily PM2.5']
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[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2021)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2021 release of the County Health Rankings']
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['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
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None
herop-wtpufz
[]
2025-04-03T14:01:19Z
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['County']
[]
None
['Food Environment Index', 'Average Daily PM2.5']
['Years of Potential Life Lost Rate', '% Fair or Poor Health', 'Average Number of Physically Unhealthy Days', 'Average Number of Mentally Unhealthy Days', '% Low birthweight', '% Smokers', '% Adults with Obesity', '% Physically Inactive', '% With Access to Exercise Opportunities', '% Excessive Drinking', '% Driving Deaths with Alcohol Involvement', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hospitalization Rate', '% With Annual Mammogram', '% Vaccinated', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Violent Crime Rate', 'Injury Death Rate', 'Presence of Water Violation', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2022)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2022 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2022
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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SDOH PlaceProject
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['County']
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['Food Environment Index', 'Average Daily PM2.5']
['Years of Potential Life Lost Rate', '% Fair or Poor Health', 'Average Number of Physically Unhealthy Days', '% Low birthweight', '% Smokers', 'Presence of Water Violation', '% Severe Housing Problems', '% Adults with Obesity', '% Physically Inactive', '% With Access to Exercise Opportunities', '% Excessive Drinking', '% Driving Deaths with Alcohol Involvement', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hospitalization Rate', '% With Annual Mammogram', '% Flu Vaccinated', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Violent Crime Rate', 'Injury Death Rate', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2023)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2023 release of the County Health Rankings']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions + Policies Lab
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2023
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
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['herop-cfmkuz']
[]
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['None']
['None']
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{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation'}
None
herop-hjrshi
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food Environment Index', 'Average Daily PM2.5']
['Years of Potential Life Lost Rate', '% Fair or Poor Health', 'Average Number of Physically Unhealthy Days', 'Average Number of Mentally Unhealthy Days', '% Low birthweight', '% Adults Reporting Currently Smoking', '% Adults with Obesity', '% Physically Inactive', '% With Access to Exercise Opportunities', '% Excessive Drinking', '% Driving Deaths with Alcohol Involvement', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hospitalization Rate', '% With Annual Mammogram', '% Flu Vaccinated', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Injury Death Rate', 'Presence of Water Violation', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
County Health Rankings (2024)
['County Health Rankings & Roadmaps (CHR&R)']
['Summarize the Health Outcome of Communities at the County-Level Health Data Across the US. The County Health Rankings & Roadmaps (CHR&R) draws attention to why there are differences in health within and across communities. CHR&R provides a snapshot of the health of nearly every county in the nation. Data for the 34 Select measures/ factors used to calculate Health Outcomes. This shows the 2024 release of the County Health Rankings.']
['eng']
[]
['Forum One', 'Robert Wood Johnson Foundation', 'University of Wisconsin Population Health Institute', 'Burness']
['University of Wisconsin Population Health Institute']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Polygon data']
[]
['Health']
[]
['2010-2024']
2024
[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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{'http://lccn.loc.gov/sh85035852': 'https://www.countyhealthrankings.org/health-data/methodology-and-sources/data-documentation'}
None
herop-cxpssh
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County']
[]
None
['Food Environment Index', 'Average Daily PM2.5']
['Years of Potential Life Lost Rate', '% Fair or Poor Health', 'Average Number of Physically Unhealthy Days', 'Average Number of Mentally Unhealthy Days', '% Low birthweight', '% Adults Reporting Currently Smoking', '% Adults with Obesity', '% Physically Inactive', '% With Access to Exercise Opportunities', '% Excessive Drinking', '% Driving Deaths with Alcohol Involvement', 'Chlamydia Rate', 'Teen Birth Rate', '% Uninsured', 'Primary Care Physicians Rate', 'Primary Care Physicians Ratio', 'Dentist Rate', 'Dentist Ratio', 'Mental Health Provider Rate', 'Mental Health Provider Ratio', 'Preventable Hospitalization Rate', '% With Annual Mammogram', '% Flu Vaccinated', '% Completed High School', '% Some College', '% Unemployed', '% Children in Poverty', 'Income Ratio', '% Children in Single-Parent Households', 'Social Association Rate', 'Injury Death Rate', 'Presence of Water Violation', '% Severe Housing Problems', '% Drive Alone to Work', '% Long Commute - Drives Alone']
[]
None
The data contains a breakdown of the measures used in calculating outcomes, data elements, descriptions, and ranking for each country.
Crimes by County (NaNDA)
['NaNDA Crimes by County, United States, 2002-2014']
['This dataset contains county-level totals for the years 2002-2014 for eight types of crime: murder, rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and arson. These crimes are classed as Part I criminal offenses by the United States Federal Bureau of Investigations (FBI) in their Uniform Crime Reporting (UCR) program. Each record in the dataset represents the total of each type of criminal offense reported in (or, in the case of missing data, attributed to) the county in a given year. Data were compiled from the Universal Crime Reporting Program Data Series at the National Archive of Criminal Justice Data (NACJD) Intra-university Consortium for Political and Social Research (ICPSR).']
['eng']
[]
['Philippa Clarke', 'Robert Melendez', 'Megan Chenoweth']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Safety']
['Society']
['Arson', 'Assault', 'Auto theft', 'Burglary', 'Crime', 'FBI', 'Larceny', 'Murder', 'Robbery', 'Uniform Crime Reports', 'Violent crime statistics']
['2002-2014']
2023-01-30
[2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
tsv
3.6 MB
{'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38649.v1', "'http://lccn.loc.gov/sh85035852'": 'https://www.openicpsr.org/openicpsr/project/115006/version/V1/view', "'http://schema.org/downloadUrl'": 'https://doi.org/10.3886/E115006'}
None
herop-fdevuz
['https://doi.org/10.3886/ICPSR38649.v1']
2025-06-13T22:15:20Z
SDOH PlaceProject
False
['County']
['-050US72054', '-050US72113', '-050US72115', '-050US72141', '-050US72147', '-050US78010', '-050US78020', '-050US02158', '-050US60010', '-050US60020', '-050US69085', '-050US69100', '-050US69110', '-050US72023', '-050US72031', '-050US72037', '-050US72039', '-050US72053', '-050US02195', '-050US72097', '-050US72151', '-050US60050', '-050US78030', '-050US66010', '-050US72061', '-050US72035', '-050US72041', '-050US72011', '-050US72013', '-050US60030', '-050US60040', '-050US69120', '-050US72047', '-050US72045', '-050US72089', '-050US72093', '-050US72007', '-050US72005', '-050US72021', '-050US72025', '-050US72033', '-050US02068', '-050US02230', '-050US02275', '-050US72059', '-050US72017', '-050US72065', '-050US72019', '-050US72111', '-050US72127', '-050US72143', '-050US72099', '-050US72131', '-050US72133', '-050US72149', '-050US72101', '-050US72105', '-050US72135', '-050US72087', '-050US72153', '-050US72057', '-050US72079', '-050US72081', '-050US72103', '-050US72137', '-050US72121', '-050US72001', '-050US72051', '-050US72083', '-050US72069', '-050US72077', '-050US72015', '-050US72123', '-050US72003', '-050US72107', '-050US72125', '-050US72043', '-050US72029', '-050US72119', '-050US72027', '-050US72049', '-050US72095', '-050US72009', '-050US72067', '-050US72091', '-050US72139', '-050US72073', '-050US72063', '-050US72145', '-050US72055', '-050US72109', '-050US46102', '-050US72075', '-050US72071', '-050US72085', '-050US72117', '-050US02198', '-050US72129', '-050US02105']
None
['Murder', 'Rape', 'Robbery', 'Aggravated Assault', 'Burglary', 'Larceny', 'Motor Vehicle Theft', 'Arson', 'Multi-Jurisdiction Reporting Agencies', 'County', 'Years', 'Crime Longitudinally']
['Total crimes excluding arson', 'Total crimes including arson', 'Total property crimes reported (burglary, larceny, and motor vehicle theft)', 'Total violent crimes reported (murder + rape + robbery + aggravated assault)', 'County population used to calculate county-level crime reports', 'First two digits of the FIPS county code (state)', 'Five-digit FIPS county code', 'ICPSR case ID number', 'ICPSR part number', 'Last three digits of the FIPS county code (county)', 'Number of agencies in the county reporting arrest data', 'Number of agencies in the county reporting offense data', 'Proportion of totals based on data provided by reporting agencies (not imputed)', 'Total aggravated assaults in the county this year', 'Total arsons in the county this year', 'Total auto thefts in the county this year', 'Total burglaries in the county this year', 'Total county population used to calculate arrests', 'Total larcenies in the county this year', 'Total murders in the county this year', 'Total rapes in the county this year', 'Total robberies in the county this year', 'Version of the ICPSR study from which the observation was obtained', 'Year that the offenses occurred']
[]
Clarke, Philippa, Melendez, Robert, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Crimes by County, United States, 2002-2014. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-02. https://doi.org/10.3886/E115006V1
Crime data should be interpreted carefully to avoid reinforcing biases or misrepresenting communities. Users should follow ethical guidelines when reporting findings. The dataset aggregates crime data from various sources, including the FBI’s Uniform Crime Reporting (UCR) program. Differences in local crime reporting practices and law enforcement policies may affect data consistency across counties.
Daily Census Tract Ozone Concentrations
['Daily Census Tract Ozone Concentrations (2016-2020)']
["The CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. This dataset row mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth, and standard error of the estimated ozone concentration at census tract-level."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Natural Environment', 'Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'Ozone', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2016', '2017', '2018', '2019', '2020']
None
[2020]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
[]
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2016/hf2a-3ebq/about_data', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2016/hf2a-3ebq/about_data', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/DataExplorer/#/', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-ltsvnx
[]
2025-09-02T21:39:22Z
SDOH PlaceProject
False
['Census Tract']
['']
None
[]
['Standard error of the estimated ozone concentration', 'Year of estimate', 'Date (day-month-year) of estimate', 'Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth']
['Standard error of the estimated ozone concentration, Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 02/17/2025. www.cdc.gov/ephtracking
None
Daily Census Tract Ozone Concentrations (2001-2005)
['Daily Census Tract Ozone Concentrations 2001-2005']
["CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. This dataset row mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth, and standard error of the estimated ozone concentration at census tract-level."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'Ozone', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2001', '2002', '2003', '2004', '2005']
None
[2005]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
[]
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://www.cdc.gov/environmental-health-tracking/php/data-research/air-quality-outdoor.html', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2001/v76h-zdce/about_data', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/Tracking%20User%20Guide.pdf', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-ojodli
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
['140US*']
None
['Year of estimate', 'Date (day-month-year) of estimate', 'Latitude of census tract centroid', 'Longitude of census tract centroid']
['Year of estimate', 'Date (day-month-year) of estimate', 'State FIPS code', 'County FIPS code', 'Census tract FIPS code', 'Latitude of census tract centroid', 'Longitude of census tract centroid', 'Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth', 'Standard error of the estimated ozone concentration']
['Standard error of the estimated ozone concentration, Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 02/17/2025. www.cdc.gov/ephtracking.
None
Daily Census Tract Ozone Concentrations (2006-2010)
['Daily Census Tract Ozone Concentrations (2006-2010)']
["CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. The dataset includes mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth, and standard error of the estimated ozone concentration, per census tract."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'Ozone', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2006-2010']
None
[2010]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://ephtracking.cdc.gov/DataExplorer/#/', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2006-2010/jcn4-jcv5/data_preview', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/Tracking%20User%20Guide.pdf', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-dnnjyy
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
['140US*']
None
['Year of estimate', 'Date (day-month-year) of estimate', 'Latitude of census tract centroid', 'Longitude of census tract centroid']
['Year of estimate', 'Date (day-month-year) of estimate', 'State FIPS code', 'County FIPS code', 'Census tract FIPS code', 'Latitude of census tract centroid', 'Longitude of census tract centroid', 'Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth', 'Standard error of the estimated ozone concentration']
['Standard error of the estimated ozone concentration, Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 02/17/2025. www.cdc.gov/ephtracking.
None
Daily Census Tract Ozone Concentrations (2011-2015)
['CDC Daily Census Tract-Level Ozone Concentrations 2011-2015']
["CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. This dataset row mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth, and standard error of the estimated ozone concentration at census tract-level."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'Ozone', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2011', '2012', '2013', '2014', '2015']
None
[2015]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2011/847z-pxin/about_data', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-Ozone-Concentrations-2011/847z-pxin/about_data', 'http://lccn.loc.gov/sh85035852': 'https://www.cdc.gov/environmental-health-tracking/php/data-research/air-quality-outdoor.html', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-afseug
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
['140US*']
None
[]
['Standard error of the estimated ozone concentration', 'Year of estimate', 'Date (day-month-year) of estimate', 'Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth']
['Standard error of the estimated ozone concentration, Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 02/17/2025. www.cdc.gov/ephtracking.
None
Daily Census Tract PM 2.5 Concentrations
['Daily Census Tract PM 2.5 Concentrations (2016-2020)']
["The CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of PM 2.5 levels from the EPA's Downscaler model. The dataset includes estimates of the mean predicted concentration and associated standard error for particulate matter smaller than 2.5 micrometers (PM2.5) in μg/m3."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['US Census', 'Air Quality', 'Environment Data', 'PM2.5']
['2016 - 2020']
None
[2020]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://ephtracking.cdc.gov/DataExplorer/#/', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc/data_preview', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/Tracking%20User%20Guide.pdf', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-ccbxef
[]
2025-09-02T21:38:52Z
SDOH PlaceProject
False
['Census Tract']
['']
None
['Air Quality:', 'O3: Number of Days over Air Quality Standard (Monitor Only)', 'PM2.5: Percent of Days over Air Quality Standard (Monitor Only)', 'PM2.5: Highest Annual Average Concentration (Monitor Data)', 'O3: Number of Days over Air Quality Standard (Monitor + Modeled Data)', 'PM2.5: Percent of Days over Air Quality Standard (Monitor + Modeled Data)', 'PM2.5: Highest Annual Average Concentration (Monitor + Modeled Data)', 'Annual Average Cancer Risk Estimates per 1,000,000 Population', 'Annual Average Air Concentration Estimates of Selected Pollutant (µg/m3)', 'Percent of Cancer Risk Estimates by Source', 'Percent of Cancer Risk Estimates from All Sources', 'Areas and Populations Vulnerable to Predicted Surface Smoke from Wildland Fires', 'Annual Average Total Cancer Risk Estimates']
['Year of prediction', 'Date (day-month-year) of prediction', 'Standard error of the estimated PM2.5 concentration', 'Mean estimated 24-hour average PM2.5 concentration in μg/m3']
['Mean estimated 24-hour average PM2.5 concentration in μg/m3, Standard error of the estimated PM2.5 concentration']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov1
Daily Census Tract PM 2.5 Concentrations (2001-2005)
['Daily Census Tract PM 2.5 Concentrations (2001-2005)']
["CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of PM 2.5 levels from the EPA's Downscaler model. The dataset includes estimates of the mean predicted concentration and associated standard error for particulate matter smaller than 2.5 micrometers (PM2.5) in μg/m3."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'PM 2.5', 'Particulate Matter', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2001', '2002', '2003', '2004', '2005']
None
[2005]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc/data_preview', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc/data_preview', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/Tracking%20User%20Guide.pdf', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-pvsgwe
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
['140US*']
None
[]
['Year of prediction', 'Date (day-month-year) of prediction', 'Mean estimated 24-hour average PM2.5 concentration in μg/m3', 'Standard error of the estimated PM2.5 concentration']
['Mean estimated 24-hour average PM2.5 concentration in μg/m3, Standard error of the estimated PM2.5 concentration']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 02/17/2025. www.cdc.gov/ephtracking.
None
Daily Census Tract PM 2.5 Concentrations (2006-2010)
['Daily Census Tract PM 2.5 Concentrations (2006-2010)']
["CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of PM 2.5 levels from the EPA's Downscaler model. The dataset includes estimates of the mean predicted concentration and associated standard error for particulate matter smaller than 2.5 micrometers (PM2.5) in μg/m3."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'PM 2.5', 'Particulate Matter', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2006-2010']
None
[2006, 2007, 2008, 2009, 2010]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc/data_preview', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc/data_preview', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/Tracking%20User%20Guide.pdf', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-rvnufn
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
[]
None
[]
['Year of prediction', 'Date (day-month-year) of prediction', 'Mean estimated 24-hour average PM2.5 concentration in μg/m3', 'Standard error of the estimated PM2.5 concentration']
['Mean estimated 24-hour average PM2.5 concentration in μg/m3, Standard error of the estimated PM2.5 concentration']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
None
Daily Census Tract PM 2.5 Concentrations (2011-2015)
['Daily Census Tract PM 2.5 Concentrations (2011-2015)']
["CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of PM 2.5 levels from the EPA's Downscaler model. The dataset includes estimates of the mean predicted concentration and associated standard error for particulate matter smaller than 2.5 micrometers (PM2.5) in μg/m3."]
['eng']
['Warning: Tract-level measures are <i> downscaled</I>, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'PM 2.5', 'Particulate Matter', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2011-2015']
None
[2011, 2012, 2013, 2014, 2015]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc/data_preview', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-Census-Tract-Level-PM2-5-Concentrations-2001/v5qq-ktfc/data_preview', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/Tracking%20User%20Guide.pdf', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-pkggaf
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
[]
None
[]
['Year of prediction', 'Date (day-month-year) of prediction', 'Standard error of the estimated PM2.5 concentration', 'Mean estimated 24-hour average PM2.5 concentration in μg/m3']
['Mean estimated 24-hour average PM2.5 concentration in μg/m3, Standard error of the estimated PM2.5 concentration']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
None
Daily County-Level Ozone Concentrations
['Daily County-Level Ozone Concentrations 2001-2019']
["The CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. The dataset includes the maximum, median, mean, and population-weighted mean concentration of ozone at the county-level."]
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'Ozone', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2001-2019']
2023-10-13
[2019]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5/about_data', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-Ozone-Concentrations-2001-2019/jcn4-jcv5/about_data', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/DataExplorer/#/', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-qgbmwc
[]
2025-09-02T21:39:36Z
SDOH PlaceProject
False
['County']
['050US*']
None
[]
['Year of prediction', 'Date (day-month-year) of prediction', 'Maximum estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth for the county', 'Median estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth for the county', 'Mean estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth for the county', 'Population-weighted estimated 8-hour average ozone concentration in parts per billion (ppb) within 3 meters of the surface of the earth for the county']
['Maximum, median, mean, and population-weighted mean concentration of ozone at the county-level.']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 02/17/2025. www.cdc.gov/ephtracking.
None
Daily County-Level PM2.5 Concentrations
['Daily County-Level PM2.5 Concentrations (2001-2019)']
["The CDC works closely with Environmental Protection Agency (EPA), National Aeronautics and Space Administration (NASA), and National Oceanic and Atmospheric Association (NOAA) to generate air quality data from the National Environmental Public Health Tracking Network. This dataset provides modeled predictions of PM 2.5 levels from the EPA's Downscaler model. The dataset includes the maximum, median, mean, and population-weighted 24-hour average concentration of particulate matter smaller than 2.5 micrometers (PM2.5) in μg/m3 at the county-level."]
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Air Quality', 'Environment', 'Ozone', 'Asthma', 'Air Pollution', 'Environmental Health', 'Toxicology']
['2001-2019']
2023-09-19
[2019]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-PM2-5-Concentrations-2001-2019/dqwm-pbi7/about_data', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Daily-County-Level-PM2-5-Concentrations-2001-2019/dqwm-pbi7/about_data', 'http://lccn.loc.gov/sh85035852': 'https://ephtracking.cdc.gov/Tracking%20User%20Guide.pdf', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305409431864'}
None
herop-dxpjno
[]
2025-09-02T21:39:48Z
SDOH PlaceProject
False
['County']
['050US*']
None
[]
['Year of prediction', 'Date (day-month-year) of prediction', 'Maximum estimated 24-hour average PM2.5 concentration in μg/m3 for the county', 'Median estimated 24-hour average PM2.5 concentration in μg/m3 for the county', 'Mean estimated 24-hour average PM2.5 concentration in μg/m3 for the county', 'Population-weighted estimated 24-hour average PM2.5 concentration in μg/m3 for the county']
['Maximum, median, mean, and population-weighted estimates of 24-hour average PM2.5 concentration in μg/m3 for the county']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
None
EJScreen
['Environmental Justice Mapping and Screening Tool']
["EJScreen is the U.S. Environmental Protection Agency's (EPA) environmental justice mapping and screening tool, designed to find places at the census block group level that could have greater environmental burdens, highlighting specific populations that may be at risk. The tool also allows users to obtain environmental and demographic information all over the U.S.A, at high spatial resolution, shown with color-coded maps and standard data reports."]
['eng']
['The EJScreen Mapping Tool is primarily a data dashboard and exploration platform. See related products for downloadable datasets.']
['U.S. Environmental Protection Agency']
['U.S. Environmental Protection Agency']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Maps', 'Websites']
[]
['Demographics', 'Employment', 'Health and Healthcare', 'Natural Environment', 'Social and Community Context', 'Composite Index']
['Climate', 'Environment', 'Health']
['Environmental Justice', 'Environmental Mapping', 'Exposure', 'Pollution']
['2022']
None
[2022]
[]
['United States', 'Puerto Rico']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
['U.S. Environmental Protection Agency']
Public
None
None
{'http://lccn.loc.gov/sh85035852': 'https://www.epa.gov/ejscreen/technical-information-and-data-downloads', 'ttp://schema.org/downloadUrl': 'https://www.epa.gov/ejscreen/download-ejscreen-data', 'http://schema.org/url': 'https://pedp-ejscreen.azurewebsites.net/', 'archive-url': 'https://uofi.box.com/s/5nn4o3dyfvol6i0h87jasfu27mb5ziue'}
None
herop-xvenhj
[]
2025-08-05T23:34:51Z
SDOH PlaceProject
False
['Census Block Group']
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None
[]
['Annual average PM2.5 levels in air', 'Average of the annual top ten daily maximum 8-hour ozone concentrations in air', 'Average annual nitrogen dioxide (NO2) levels expressed as part per billion (by volume)', 'Diesel particulate matter level in air', 'RSEI modeled toxicity-weighted concentrations in air of TRI listed chemicals', 'Count of vehicles (avg. annual daily traffic) at major roads within 500 meters, divided by distance (meters)', 'Percent of housing units built pre-1960, as indicator of potential lead paint exposure', 'Count of proposed or listed NPL (superfund) sites within 5 km (or nearest one within 10 km), each divided by distance (km)', 'Count of RMP facilities within 5 km (or nearest one within 10 km), each divided by distance (km)', 'Count of hazardous waste facilities (TSDFs and LQGs) within 5 km (or nearest within 10 km), each divided by distance (km)', 'Count of LUSTs (multiplied by a factor of 7.7) and the number of USTs within a 1,500-foot buffered block group', 'RSEI modeled toxic concentrations at stream segments within 500 meters, divided by distance in kilometers (km)', 'Number of Safe Drinking Water Act violations not returned to compliance (past 5 years)', 'Percent of individuals in a block group who list a racial status other than white alone and/or list their ethnicity as Hispanic or Latino.', 'Percent of a block group\'s population in households where the household income is less than or equal to twice the federal "poverty level."', "Percent of a block group's population that did not have a job at all during the reporting period, made at least one effort to find a job during the prior 4 weeks, and were available for work (unless temporarily ill)", 'Percent of people in a block group living in limited English speaking households', 'Percent of people age 25 or older in a block group whose education is short of a high school diploma', 'Percent of people in a block group under the age of 5', 'Percent of people in a block group over the age of 64', 'Risk of flooding at any location', 'Flood Risk', 'Wildfire Risk', '100-Year Floodplain', 'Sea Level Rise', 'Extreme Heat', 'Low Life Expectancy', 'Heart Disease', 'Asthma', 'Cancer', 'Person with Disabilities', 'Broadband Gaps', 'Lack of Health Insurance', 'Housing Burden', 'Transportation Access', 'Food Desert']
['Key variables of interest include indicators of Particulate Matter 2.5 (M2.5), Ozone, Nitrogen Dioxide (NO2), Diesel Particulate Matter, Toxic Releases to Air, Traffic Proximity and Volume, Lead Paint, Superfund Proximity, Risk management Plan (RMP) Facility Proximity, Hazardous Waste Proximity, Underground Storage Tanks (UST) and Leaking UST (LUST), Wastewater Discharge, and Drinking Water Non-Compliance']
United States Environmental Protection Agency. 2015. EJSCREEN.
EJScreen cannot provide data on every environmental impact and demographic factor that may be important to any location. Therefore, its initial results should be supplemented with additional information and local knowledge whenever appropriate, for a more complete picture of a location. The linked dataset is an unofficial copy of EJScreen, hosted by the Public Environmental Data Partners. Some links and text may incorrectly suggest that this site is affiliated with the US Government. We've published an initial reconstruction - you can identify the EJScreen data and index percentiles for a given block group right now.
Environmental Justice Index
['Environmental Justice Index']
['The Environmental Justice Index (EJI), which is a part of the EPA’s EJSCREEN platform, is a data-driven tool designed to identify and analyze environmental justice concerns across the United States. The EJI combines environmental, demographic, and health data to assess communities disproportionately impacted by environmental burdens and social vulnerabilities.', 'Indicators include air quality, proximity to hazardous facilities, and exposure to pollutants, along with demographic factors like income, race, and linguistic isolation. In addition to the core EJI, the EPA incorporates Supplemental Indexes to enhance its analytical capabilities. These indexes include the Climate Change Index, which identifies communities vulnerable to the impacts of climate change, and the Health Disparities Index, which highlights areas with existing health challenges that may exacerbate environmental risks.', 'While both EJI and EJSCREEN are tools for assessing environmental justice, they are designed for slightly different purposes. EJSCREEN is a screening and mapping tool primarily intended for community engagement, highlighting potential environmental and demographic concerns to guide further investigation. The EJI, on the other hand, goes beyond screening by integrating additional health and climate vulnerability data to create indexes tailored for more in-depth analysis and decision-making.']
['eng']
['A percentile ranking represents the proportion of census tracts (or communities) that may experience more or less severe cumulative impacts from environmental burdens than the community of interest. For example, a EJI ranking of 0.75 signifies that 75% of tracts in the nation likely experience less severe cumulative impacts from environmental burdens than the tract of interest, and that 25% of tracts in the nation likely experience more severe cumulative impacts from environmental burdens.']
['Centers for Disease Control and Prevention and Agency for Toxic Substances Disease Registry']
['Centers for Disease Control and Prevention and Agency for Toxic Substances Disease Registry']
Centers for Disease Control and Prevention and Agency for Toxic Substances Disease Registry
['Datasets', 'Maps']
['Polygon data']
['Demographics', 'Economic Stability', 'Education', 'Housing', 'Neighborhood and Built Environment', 'Social and Community Context']
['Environment', 'Health']
['US Census', 'Poverty', 'Pollutant']
['2014-2021']
8/10/22
[2021]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
CSV, Geodatabase
51.7 MB
{'http://schema.org/downloadUrl': 'https://www.atsdr.cdc.gov/place-health/php/eji/index.html', 'http://schema.org/url': 'https://www.atsdr.cdc.gov/place-health/php/eji/eji-data-download.html', 'http://lccn.loc.gov/sh85035852': 'https://www.atsdr.cdc.gov/place-health/media/pdfs/2024/10/EJI_2024_Technical_Documentation.pdf', 'archive-url': 'https://uofi.box.com/s/4bso2k0yx6x090xw50w3fwkpuy1jpy0j'}
None
herop-oqxqog
[]
2025-09-02T21:53:09Z
SDOH PlaceProject
False
['Census Tract']
['']
None
['Demographic Index (average of low-income and people of color percentages); Supplemental Demographic Index (average of five socioeconomic factors: low income, unemployment, limited English, less than high school education, low life expectancy); Percentiles for each environmental indicator combined with demographic factors, including: PM2.5 (Particulate Matter); Ozone levels; Nitrogen dioxide levels; Diesel particulate matter; Toxic releases to air; Traffic proximity and volume; Lead paint exposure risk; Superfund site proximity; Risk Management Plan (RMP) facility proximity; Hazardous waste facility proximity; Underground storage tank proximity; Wastewater discharge proximity; Drinking water non-compliance.']
['Total population; Low-income population percentage; Population with less than high school education; Unemployed population percentage; Population with disabilities percentage; People of color percentage; Limited English-speaking population percentage; Population under age 5 percentage; Population over age 64 percentage; Life expectancy; Levels of PM2.5 (Particulate Matter); Ozone levels; Nitrogen dioxide levels; Diesel particulate matter levels; Toxic releases to air concentrations; Traffic volume and proximity to major roads; Percentage of housing units with potential lead paint exposure; Proximity to Superfund sites; Proximity to Risk Management Plan (RMP) facilities; Proximity to hazardous waste facilities; Proximity to underground storage tanks; Wastewater discharge concentration; Drinking water non-compliance violations.']
['Environmental Justice Index for PM2.5 (Particulate Matter); Environmental Justice Index for ozone levels; Environmental Justice Index for nitrogen dioxide levels; Environmental Justice Index for diesel particulate matter levels; Environmental Justice Index for toxic releases to air; Environmental Justice Index for traffic proximity and volume; Environmental Justice Index for lead paint exposure risk; Environmental Justice Index for Superfund site proximity; Environmental Justice Index for Risk Management Plan (RMP) facility proximity; Environmental Justice Index for hazardous waste facility proximity; Environmental Justice Index for underground storage tank proximity; Environmental Justice Index for wastewater discharge proximity; Environmental Justice Index for drinking water non-compliance.']
Centers for Disease Control and Prevention and Agency for Toxic Substances Disease Registry. [Year] Environmental Justice Index. Accessed [Date]. https://atsdr.cdc.gov/place-health/php/eji/index.html
The EJI can be used to: Identify and prioritize areas that may require special attention or additional action to improve health and health equity Educate and inform the public about their community Analyze the unique, local factors driving cumulative impacts on health to inform policy and decision-making Establish meaningful goals and measure progress towards environmental justice and health equity
Food Access Research Atlas
['Food Access Research Atlas']
['The Food Access Research Atlas presents an overview of food access indicators for low-income and other census tracts using different measures of supermarket accessibility. It provides food access data for populations within census tracts and it offers census-tract-level data on food access that can be downloaded for community planning or research purposes.']
['eng']
[]
['Economic Research Service (ERS), U.S. Department of Agriculture (USDA)']
['U.S. Department of Agriculture (USDA)']
Healthy Regions + Policies Lab
['Datasets']
['Atlases']
['Food Environment']
['Health']
['Food Access', 'Food Desert', 'Grocery', 'Supermarket', 'Healthy Food', 'Produce']
['2006-2019']
4/27/2021
[2019]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
XLSX, ZIP, CSV
None
{'http://schema.org/downloadUrl': 'https://www.ers.usda.gov/data-products/food-access-research-atlas/download-the-data', 'http://schema.org/url': 'https://www.ers.usda.gov/data-products/food-access-research-atlas/about-the-atlas', 'http://lccn.loc.gov/sh85035852': 'https://www.ers.usda.gov/data-products/food-access-research-atlas/documentation', 'archive-url': 'https://uofi.box.com/s/0icypzgnk3j8z8ij4qkifrq1d2u6r5nz'}
None
herop-htraln
[]
2025-09-02T21:50:10Z
SDOH PlaceProject
False
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None
['Urban tracts; Group quarters, tract with a high share; Tracts with low vehicle access; Flags for low-income and low-access tracts using 1 mile and 10 miles thresholds; Flags for low-access tracts using 20-mile thresholds in rural areas.']
['Housing units, total; Population with low access at 1 mile for urban areas and 10 miles for rural areas; Population with low access at 1/2 mile for urban areas and 10 miles for rural areas; Population with low access at 1 mile for urban areas and 20 miles for rural areas; Low-income population with low access at 1 mile for urban areas and 10 miles for rural areas; Low-income population with low access at 1/2 mile for urban areas and 10 miles for rural areas; Low-income population with low access at 1 mile for urban areas and 20 miles for rural areas; Population with low access at 1/2 mile; Population share with low access at 1/2 mile; Low-income population with low access at 1/2 mile; Share of low-income population with low access at 1/2 mile; Children (age 0-17) with low access at 1/2 mile; Share of children (age 0-17) with low access at 1/2 mile; Seniors (age 65+) with low access at 1/2 mile; Share of seniors (age 65+) with low access at 1/2 mile; White population with low access at 1/2 mile; Share of White population with low access at 1/2 mile; Black or African American population with low access at 1/2 mile; Share of Black or African American population with low access at 1/2 mile; Hispanic or Latino population with low access at 1 mile; Share of Hispanic or Latino population with low access at 1 mile; Housing units receiving SNAP benefits and with low access at 10 miles; Share of housing units receiving SNAP benefits and with low access at 10 miles.']
['Low-income and low-access tracts at 1 mile for urban areas and 10 miles for rural areas; Low-income and low-access tracts at 1/2 mile for urban areas and 10 miles for rural areas; Low-income and low-access tracts at 1 mile for urban areas and 20 miles for rural areas; Tracts with low vehicle access and low income at 20 miles in rural areas.']
Economic Research Service (ERS), U.S. Department of Agriculture (USDA). Food Access Research Atlas, https://www.ers.usda.gov/data-products/food-access-research-atlas/
Estimates in the Atlas for 2019 are based on a 2019 list of supermarkets, the 2010 Decennial Census, and the 2014-18 American Community Survey (ACS). The estimates for 2015 are based on a 2015 list of supermarkets, the 2010 Decennial Census, and the 2010-14 ACS.
Food Environment Atlas
[]
["Food environment factors—such as store/restaurant proximity, food prices, food and nutrition assistance programs, and community characteristics—interact to influence food choices and diet quality. Research has been documenting the complexity of these interactions, but more research is needed to identify causal relationships and effective policy interventions. The objectives of the Food Environment Atlas are to assemble statistics on food environment indicators to stimulate research on the determinants of food choices and diet quality and to provide a spatial overview of a community's ability to access healthy food and its success in doing so."]
[]
['Warning: On September 10, 2020, the Food Environment Atlas data files were reposted after duplicate county records were removed from the Local category. The two counties that had duplicate records were Chester, PA (FIPS code = 42029) and Mecklenburg, NC (FIPS code = 37119). No other values were affected.', 'The list of methodological variables presented here may not be exhaustive; however, we have made every effort to incorporate as many relevant variables as possible within the scope of this study.']
['United States Department of Agriculture (USDA)']
['The Economic Research Service']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Food Environment']
['Health', 'Society']
['Food Access', 'Food Desert', 'Grocery', 'Supermarket', 'Healthy Food', 'Produce']
['2000-2017']
2019
[]
[]
['United States']
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None
None
False
[]
[]
['herop-wckjtm']
[]
[]
[]
[]
[]
[]
[]
Public
Excel, CSV
None
{'http://schema.org/url': 'https://www.ers.usda.gov/data-products/food-environment-atlas/go-to-the-atlas', 'http://schema.org/downloadUrl': 'https://ers.usda.gov/sites/default/files/_laserfiche/DataFiles/80526/FoodEnvironmentAtlas.zip?v=28999', 'http://lccn.loc.gov/sh85035852': 'https://www.ers.usda.gov/data-products/food-environment-atlas/documentation'}
None
herop-wckjtm
[]
2025-06-15T00:39:42Z
SDOH PlaceProject
False
['County']
['-050US72054', '-050US72113', '-050US72115', '-050US72141', '-050US72147', '-050US78010', '-050US78020', '-050US02158', '-050US60010', '-050US60020', '-050US69085', '-050US69100', '-050US69110', '-050US72023', '-050US72031', '-050US72037', '-050US72039', '-050US72053', '-050US72097', '-050US72151', '-050US60050', '-050US78030', '-050US66010', '-050US72061', '-050US72035', '-050US72041', '-050US72011', '-050US72013', '-050US60030', '-050US60040', '-050US69120', '-050US72047', '-050US72045', '-050US72089', '-050US72093', '-050US72007', '-050US72005', '-050US72021', '-050US72025', '-050US72033', '-050US72059', '-050US72017', '-050US72065', '-050US72019', '-050US72111', '-050US72127', '-050US72143', '-050US72099', '-050US72131', '-050US72133', '-050US72149', '-050US72101', '-050US72105', '-050US72135', '-050US72087', '-050US72153', '-050US72057', '-050US72079', '-050US72081', '-050US72103', '-050US72137', '-050US72121', '-050US72001', '-050US72051', '-050US72083', '-050US72069', '-050US72077', '-050US72015', '-050US72123', '-050US72003', '-050US72107', '-050US72125', '-050US72043', '-050US72029', '-050US72119', '-050US72027', '-050US72049', '-050US72095', '-050US72009', '-050US72067', '-050US72091', '-050US72139', '-050US72073', '-050US72063', '-050US72145', '-050US72055', '-050US72109', '-050US46102', '-050US72075', '-050US72071', '-050US72085', '-050US72117', '-050US72129']
None
['eHousehold food insecurity (percent, 3-year average)', 'Household food insecurity (percentage point change)', 'Household very low food security (percent, 3-year average)', 'Household very low food security (percentage point change)', 'Adult diabetes rate', 'Adult obesity rate', 'High schoolers physically active (percent)', 'Poverty rate', 'Child poverty rate']
['Population, low access to store', 'Population, low access to store (percent change)', 'Population, low access to store (percent)', 'Low income and low access to store', 'Low income and low access to store (percent change)', 'Low income and low access to store (percent)', 'Households, no car and low access to store', 'Households, no car and low access to store (percent change)', 'Households, no car and low access to store (percent)', 'SNAP households, low access to store', 'SNAP households, low access to store (percent)', 'Children, low access to store', 'Children, low access to store (percent change)', 'Children, low access to store (percent)', 'Seniors, low access to store', 'Seniors, low access to store (percent change)', 'Seniors, low access to store (percent)', 'White, low access to store', 'White, low access to store (percent)', 'Black, low access to store', 'Black, low access to store (percent)', 'Asian, low access to store', 'Asian, low access to store (percent)', 'American Indian or Alaska Native, low access to store', 'American Indian or Alaska Native, low access to store (percent)', 'Hawaiian or Pacific Islander, low access to store', 'Hawaiian or Pacific Islander, low access to store (percent)', 'Multiracial, low access to store', 'Multiracial, low access to store (percent)', 'Hispanic ethnicity, low access to store', 'Hispanic ethnicity, low access to store (percent)', 'Grocery stores', 'Grocery stores (percent change)', 'Grocery stores/1,000 pop', 'Grocery stores/1,000 pop (percent change)', 'Supercenters and club stores', 'Supercenters and club stores (percent change)', 'Supercenters and club stores/1,000 pop', 'Supercenters and club stores/1,000 pop (percent change)', 'Convenience stores', 'Convenience stores (percent change)', 'Convenience stores/1,000 pop', 'Convenience stores/1,000 pop (percent change)', 'Specialized food stores', 'Specialized food stores (percent change)', 'Specialized food stores/1,000 pop', 'Specialized food stores/1,000 pop (percent change)', 'SNAP-authorized stores', 'SNAP-authorized stores (percent change)', 'SNAP-authorized stores/1,000 pop', 'SNAP-authorized stores/1,000 pop (percent change)', 'WIC-authorized stores', 'WIC-authorized stores (percent change)', 'WIC-authorized stores/1,000 pop', 'WIC-authorized stores/1,000 pop (percent change)', 'Fast-food restaurants', 'Fast-food restaurants (percent change)', 'Fast-food restaurants/1,000 pop', 'Fast-food restaurants/1,000 pop (percent change)', 'Full-service restaurants', 'Full-service restaurants (percent change)', 'Full-service restaurants/1,000 pop', 'Full-service restaurants/1,000 pop (percent change)', 'Expenditures per capita, fast food', 'Expenditures per capita, restaurants', 'SNAP redemptions/SNAP-authorized stores', 'SNAP redemptions/SNAP-authorized stores (percent change)', 'SNAP benefits per capita', 'SNAP benefits per capita (percent change)', 'Students eligible for free lunch (percent)', 'Students eligible for reduced-price lunch (percent)', 'SNAP participants (percentage pop)', 'SNAP participants (percentage point change)', 'SNAP participants (percent eligible pop)', 'SNAP online applications', 'SNAP Combined Application Project', 'SNAP broad-based categorical eligibility', 'SNAP simplified reporting', 'National School Lunch Program participants (percent children)', 'National School Lunch Program participants (percentage point change)', 'School Breakfast Program participants (percent children)', 'School Breakfast Program participants (percentage point change)', 'Summer Food Service Program participants (percent children)', 'Summer Food Service Program participants (percentage point change)', 'WIC redemptions per capita', 'WIC redemptions per capita (percent change)', 'WIC redemptions/WIC-authorized stores', 'WIC redemptions/WIC-authorized stores (percent change)', 'WIC participants (percent pop)', 'WIC participants (percentage point change)', 'WIC infant and children participants (percent infant & children)', 'WIC infant and children participants (percentage point change)', 'WIC women participants (percent women)', 'WIC women participants (percentage point change)', 'Child and Adult Care (percent pop)', 'Child and Adult Care (percentage point change)', 'FDPIR Sites', 'FDPIR Sites (percent change)', 'Food Banks', 'Household food insecurity (percent, 3-year average)', 'Household food insecurity (percentage point change)', 'Household very low food security (percent, 3-year average)', 'Household very low food security (percentage point change)', 'Soda sales tax, retail stores', 'Soda sales tax, vending', 'Chip and pretzel sales tax, retail stores', 'Chip and pretzel sales tax, vending', 'General food sales tax, retail stores', 'Farms with direct sales', 'Farms with direct sales (percent change)', 'Farms with direct sales (percent)', 'Direct farm sales', 'Direct farm sales (percent change)', 'Direct farm sales (percent)', 'Direct farm sales per capita', 'Direct farm sales per capita (percent change)', "Farmers' markets", "Farmers' markets (percent change)", "Farmers' markets/1,000 pop", "Farmers' markets/1,000 pop (percent change)", "Farmers' markets that report accepting SNAP", "Farmers' markets that report accepting SNAP (percent)", "Farmers' markets that report accepting WIC vouchers", "Farmers' markets that report accepting WIC vouchers (percent)", "Farmers' markets that report accepting WIC Cash", "Farmers' markets that report accepting WIC Cash (percent)", "Farmers' markets that report accepting SFMNP", "Farmers' markets that report accepting SFMNP (percent)", "Farmers' markets that report accepting credit cards", "Farmers' markets that report accepting credit cards (percent)", "Farmers' markets that report selling fruit and vegetables", "Farmers' markets that report selling fruit and vegetables (percent)", "Farmers' markets that report selling animal products", "Farmers' markets that report selling animal products (percent)", "Farmers' markets that report selling baked and prepared goods", "Farmers' markets that report selling baked and prepared goods (percent)", "Farmers' markets that report selling other food products", "Farmers' markets that report selling other food products (percent)", 'Vegetable farms', 'Vegetable farms (percent change)', 'Vegetable acres harvested', 'Vegetable acres harvested (percent change)', 'Vegetable acres harvested/1,000 pop', 'Vegetable acres harvested/1,000 pop (percent change)', 'Farms with vegetables harvested for fresh market', 'Farms with vegetables harvested for fresh market (percent change)', 'Vegetable acres harvested for fresh market', 'Vegetable acres harvested for fresh market (percent change)', 'Vegetable acres harvested for fresh market/1,000 pop', 'Vegetable acres harvested for fresh market/1,000 pop (percent change)', 'Orchard farms', 'Orchard farms (percent change)', 'Orchard acres', 'Orchard acres (percent change)', 'Orchard acres/1,000 pop', 'Orchard acres/1,000 pop (percent change)', 'Berry farms', 'Berry farms (percent change)', 'Berry acres', 'Berry acres (percent change)', 'Berry acres/1,000 pop', 'Berry acres/1,000 pop (percent change)', 'Small slaughterhouse facilities', 'Small slaughterhouse facilities (percent change)', 'Greenhouse vegetable and fresh herb farms', 'Greenhouse vegetable and fresh herb farms (percent change)', 'Greenhouse vegetable and fresh herb sq feet', 'Greenhouse vegetable and fresh herb sq feet (percent change)', 'Greenhouse vegetable and fresh herb sq feet/1,000 pop', 'Greenhouse vegetable and fresh herb sq feet/1,000 pop (percent change)', 'Food hubs', 'CSA farms', 'CSA farms (percent change)', 'Agritourism operations', 'Agritourism operations (percent change)', 'Agritourism receipts', 'Agritourism receipts (percent change)', 'Farm to school program', 'Adult diabetes rate', 'Adult obesity rate', 'High schoolers physically active (percent)', 'Recreation and fitness facilities', 'Recreation and fitness facilities (percent change)', 'Recreation and fitness facilities/1,000 pop', 'Recreation and fitness facilities/1,000 pop (percent change)', 'Percent White', 'Percent Black', 'Percent Hispanic', 'Percent Asian', 'Percent American Indian or Alaska Native', 'Percent Hawaii or Pacific Islander', 'Percent population 65 or over', 'Percent population under 18', 'Median household income', 'Poverty rate', 'Persistent-poverty counties', 'Child poverty rate', 'Persistent-child-poverty counties', 'Metro/nonmetro counties', 'Population-loss counties']
[]
Economic Research Service (ERS), U.S. Department of Agriculture (USDA). Food Environment Atlas. https://www.ers.usda.gov/data-products/food-environment-atlas/
The USDA's Food Environment Atlas and Food Access Research Atlas provide comprehensive data on food access, health, and well-being, enabling users to create maps, analyze trends, and identify regions with food access challenges. Users can create maps to visualize how indicators like access to grocery stores and the number of farmers' markets vary across the country. They can also view county-level indicators, zoom in on specific areas, and export or print maps. The data is available for download in Excel format, and the advanced query tool allows users to identify and map counties with similar indicators, making it easier to explore and understand food access patterns.
Food Environment Atlas (FEA) 2006
[]
[]
['eng']
[]
['Economic Research Service (ERS)']
['U.S. Department of Agriculture (USDA)']
Healthy Regions + Policies Lab
['Datasets']
['Atlases']
['Food Environment']
['Health']
['US Census', 'Access']
['2006']
None
[2006]
[]
['United States']
MULTIPOLYGON (((-67.15 18.5, -67.16 18.49, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.47, -67.17 18.46, -67.16 18.45, -67.18 18.41, -67.19 18.4, -67.21 18.39, -67.24 18.38, -67.26 18.37, -67.26 18.37, -67.27 18.37, -67.27 18.36, -67.27 18.36, -67.27 18.35, -67.26 18.35, -67.25 18.32, -67.24 18.32, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.3, -67.23 18.3, -67.23 18.3, -67.22 18.3, -67.19 18.27, -67.17 18.23, -67.17 18.18, -67.17 18.18, -67.17 18.18, -67.18 18.17, -67.19 18.16, -67.19 18.14, -67.19 18.13, -67.2 18.09, -67.2 18.08, -67.2 18.08, -67.21 18.04, -67.21 17.99, -67.22 17.99, -67.21 17.96, -67.21 17.95, -67.19 17.93, -67.19 17.93, -67.18 17.93, -67.15 17.95, -67.13 17.95, -67.12 17.95, -67.11 17.95, -67.11 17.95, -67.1 17.95, -67.09 17.95, -67.08 17.96, -67.04 17.97, -67 17.96, -66.98 17.95, -66.96 17.93, -66.93 17.93, -66.93 17.93, -66.92 17.93, -66.92 17.93, -66.92 17.93, -66.88 17.95, -66.87 17.95, -66.87 17.95, -66.87 17.95, 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None
None
False
[]
[]
[]
[]
['herop-htraln']
[]
[]
[]
[]
[]
Public
Zip
453 KB
{'http://schema.org/url': 'https://www.ers.usda.gov/data-products/food-access-research-atlas/download-the-data/'}
None
herop-yfhwrx
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
[]
None
[]
[]
[]
None
None
Food Environment Atlas (FEA) 2010
[]
[]
['eng']
[]
['Economic Research Service (ERS)']
['U.S. Department of Agriculture (USDA)']
Healthy Regions + Policies Lab
['Datasets']
['Atlases']
['Food Environment']
['Health']
['US Census', 'Access']
['2010']
None
[2010]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-htraln']
[]
[]
[]
[]
[]
Public
Zip
28.3 MB
{'http://schema.org/url': 'https://www.ers.usda.gov/data-products/food-access-research-atlas/download-the-data/'}
None
herop-jwthdv
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
[]
None
[]
[]
[]
None
None
Food Environment Atlas (FEA) 2015
[]
[]
['eng']
[]
['Economic Research Service (ERS), U.S. Department of Agriculture (USDA)']
['U.S. Department of Agriculture (USDA)']
Healthy Regions + Policies Lab
['Datasets']
['Atlases']
['Food Environment']
['Health']
['US Census', 'Access']
['2015']
None
[2015]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-htraln']
[]
[]
[]
[]
[]
Public
Zip
72.1 MB
{'http://schema.org/url': 'https://www.ers.usda.gov/data-products/food-access-research-atlas/download-the-data/'}
None
herop-cfwbip
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
[]
None
[]
[]
[]
None
None
Food Environment Atlas (FEA) 2019
[]
[]
['eng']
[]
['Economic Research Service (ERS), U.S. Department of Agriculture (USDA)']
['U.S. Department of Agriculture (USDA)']
Healthy Regions + Policies Lab
['Datasets']
['Atlases']
['Food Environment']
['Health']
['US Census', 'Access']
['2019']
None
[2019]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-htraln']
[]
[]
[]
[]
[]
Public
Excel
81.8 MB
{'http://schema.org/url': 'https://www.ers.usda.gov/data-products/food-access-research-atlas/download-the-data/'}
None
herop-wvpqje
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract']
[]
None
[]
[]
[]
None
None
Global Horizontal Irradiance
['CDC Population-Weighted Global Horizontal Irradiance 1991-2012']
['Global Horizontal Irradiance (GHI) is the total amount of shortwave radiation received by a horizontal surface from above. The available county-level data show the temporal and spatial trends of population-weighted irradiance levels throughout the contiguous United States from 1991 to 2012. The GHI data is originally provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University, led by Prof. Yang Liu. The 1991-1997 data are calculated based on the GHI data from the National Solar Radiation Data Base (NSRDB), and the 1998-2012 data are calculated based on the GHI data from SolarAnywhere irradiance data.']
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Natural Environment', 'Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Environmental Health', 'Sunlight', 'Solar Radiation', 'Total Solar Irradiance', 'Climate']
['1991-2012']
2018-07-31
[2012]
[]
['United States']
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-169.25 52.76, -169.2 52.77, -168.45 52.98, -166.75 53.44, -164.96 54.07, -162.77 54.37, -162.47 54.34, -162.46 54.34, -162.38 54.37, -160.22 54.86, -159.8 54.79, -159.6 54.76, -159.57 54.75, -159.55 54.75, -159.53 54.76, -159.52 54.76, -159.25 54.87, -159.23 54.88, -159.22 54.88, -159.22 54.89, -159.21 54.89, -159.2 54.91, -158.11 56.13, -156.74 56.02, -156.68 55.99, -155.72 55.77, -155.61 55.76, -155.59 55.76, -153.88 56.53, -152.28 57.37, -152.27 57.37, -152.27 57.37, -152.25 57.38, -152.16 57.59, -151.81 58.19, -150.38 59.34, -149.58 59.59, -147.88 59.76, -147.87 59.76, -147.85 59.77, -147.68 59.8, -147.46 59.84, -147.39 59.87, -146.61 60.24, -144.6 59.79, -143.19 60.06, -141.42 59.88, -141.37 59.86, -141.26 59.84, -141.15 59.81, -141.09 59.79, -140.89 59.74, -140.87 59.74, -139.47 59.39, -139.42 59.38, -139.32 59.35, -137.67 58.62, -137.67 58.61, -135.86 57, -134.81 56.23, -133.55 54.78, -133.52 54.75, -133.51 54.75, -132.73 54.66, -132.69 54.66, -130.69 54.72, -130.65 54.72, -130.65 54.73, -130.64 54.73, -130.34 54.92, -130.3 54.95, -130.27 54.97, -129.97 55.28, -130 56.01, -130.01 56.01, -130.03 56.04, -130.04 56.05, -130.05 56.06, -130.08 56.1, -130.1 56.12, -130.47 56.24, -130.78 56.37, -132.66 57.62, -132.87 57.84, -133.38 58.43, -133.84 58.73, -135.03 59.56, -135.12 59.62, -135.23 59.7, -135.48 59.8, -135.7 59.74, -136.19 59.64, -136.3 59.61, -136.35 59.6, -138.71 59.91, -139.07 60.35, -139.69 60.34, -141 61.91, -141 62, -141 62.24, -141 62.4, -141 62.52, -141 62.81, -141 62.86, -141 63.09, -141 64.01, -141 64.98, -141 65, -141 65.33, -141 65.84, -141 65.97, -141 66.51, -141 67.54, -141 67.93, -141 68.19, -141 68.5, -141 68.54, -141 68.88, -141 68.95, -141 69.29, -141 69.65, -141.12 69.67, -142.75 70.04, -143.25 70.15, -143.26 70.15, -143.27 70.15, -143.59 70.15, -145.85 70.16, -147.96 70.36, -148.84 70.48, -149.17 70.52, -149.19 70.52, -149.45 70.55, -149.47 70.56, -149.49 70.56, -149.5 70.56, -149.52 70.56, -149.66 70.57, -149.7 70.57, -149.72 70.57, -149.73 70.57, -150.54 70.48, -152.22 70.82, -152.23 70.83, -152.23 70.83, -152.4 70.86, -152.58 70.88, -152.59 70.88, -152.85 70.9, -155.1 71.16, -156.07 71.32, -156.11 71.33, -156.35 71.37, -156.57 71.35, -156.62 71.34, -156.64 71.34, -156.64 71.34, -156.65 71.34, -158.86 70.91, -159.15 70.88, -159.17 70.88, -159.21 70.87, -159.23 70.87, -159.43 70.84, -159.48 70.83, -159.55 70.82, -159.55 70.82, -159.62 70.8, -161.88 70.33, -162.05 70.28, -162.27 70.21, -162.28 70.21, -162.3 70.2, -162.33 70.19, -162.34 70.19, -162.36 70.18, -162.45 70.14, -162.46 70.13, -162.47 70.13, -162.48 70.12, -162.57 70.07, -162.98 69.83, -162.98 69.83, -163 69.82, -163.01 69.81, -163.02 69.81, -163.02 69.8, -165.23 68.87, -165.49 68.85, -165.51 68.85, -165.77 68.86, -165.78 68.86, -165.8 68.86, -165.88 68.86, -165.94 68.87, -165.98 68.87, -166.03 68.87, -166.09 68.87, -166.13 68.88, -166.2 68.88, -166.2 68.88, -166.21 68.88, -166.22 68.88, -166.23 68.88)))
None
None
False
[]
['herop-lukhbw']
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://data.cdc.gov/Environmental-Health-Toxicology/Population-Weighted-Global-Horizontal-Irradiance-1/fdyw-m38t/about_data', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Population-Weighted-Global-Horizontal-Irradiance-1/fdyw-m38t/data_preview', 'archive-url': 'https://uofi.app.box.com/s/fqtslnfkpmgi32pb1cah1eyvmimvp740/folder/305419681660'}
None
herop-efqkhv
[]
2025-06-15T00:42:42Z
SDOH PlaceProject
False
['County']
['050US*']
None
[]
['Year', 'Month', 'Date', 'County-level population weighted daily Global Horizontal Irradiance (GHI)']
['County-level population weighted daily global horizontal irradiance in wh/m2 (GHI)']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.
Null values or "NA" in the dataset appear as missing values; these refer to no valid data and are caused by invalid retrievals from NSRDB or SolarAnywhere. Authors suggest to treat NAs as missing. Detailed methods are available in the documentation.
Global Streetscapes
['NUS Global Streetscapes dataset']
['The Global Streetscapes dataset is an open-access, enriched dataset designed to advance the use of street-level imagery in urban science research. It includes data from 688 cities worldwide, ensuring a geographically and demographically balanced representation. The dataset of 10 million street-level images was created by sampling street-level images from a wide range of cities and enriching them through computer vision and geospatial analysis. This process enhances the images with 346 attributes, providing geographical, temporal, contextual, semantic, and perceptual information. The dataset is crowdsourced, relying on open imagery from Mapillary and KartaView. To improve integration with other datasets, images are geolocated and merged with global geospatial datasets. Additional temporal attributes are calculated based on the captured timestamps, offering valuable insights for urban research. The dataset is openly available alongside the source code, enabling researchers to explore and apply street view imagery data in diverse urban studies.']
['eng']
['Warning: Some attribute measures, such as perception, should be interpreted as subjective. Read method documentation for a complete understanding of approach.', 'Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location. The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Collections', 'Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment', 'Physical Activity and Lifestyle', 'Transportation and Infrastructure']
['Imagery', 'Society', 'Structure']
['Urban Environment', 'Street Views', 'Photographs', 'Perception', 'Semantic', 'Places', 'Climate Zone', 'Street Segment', 'Built Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
['No use restrictions']
['Hou et al (2024)']
['Creative Commons Attribution Share Alike 4.0']
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-blhoja
['10.1016/j.isprsjprs.2024.06.023']
2025-06-15T00:44:54Z
SDOH PlaceProject
False
['City', 'Other']
['']
None
['Multiple (See Documentation For Full Details and Metadata)']
['Latitude', 'Longitude', 'Local date time', 'Width', 'Height', 'Heading', 'Projection type', 'Horizontal field of view', 'Vertical field of view', 'Sequence ID', 'Index in sequence', 'Köppen climate zone: climate classification is integrated with the images based on their geospatial coordinates and temporal attributes', 'Context: eight contextual attributes about conditions under which images were captured inferred for each image', "Ephem: how long an image was taken before or after sunrise or sunset, calculated using the python package 'PyEphem'", 'GADM: Administrative area associated with each image derived from the Database of Global Administrative Areas (GADM)', 'GSHL: degree of urbanisation associated with the location of the image, calculated using the Global Human Settlement Layer (GHSL) database', 'H3: ID of the h3-indexed hexagon associated with each image, at all available resolution levels from level 0 to 15', 'Instances: count of instances (65 categories) detected in each image', 'Segment: OSM street segment found nearest to each image within its 10 m radius', 'Perception: Scores in scale of 0-10 predicted for each of six perceptual dimensions (Safe, Lively, Beautiful, Wealthy, Boring, Depressing)', 'Place: Contains the place/scene classification for each image and overall semantic context of each image (ex highway, residential, park, etc)', 'Season: determined for each image based on climate zone and month', 'Simplemaps: information of the city associated with the image, obtained from the World Cities database by Simplemaps', 'Speed: Statistical values related to speed for each image that are a part of sequences', 'Metadata']
['Street Greenery Coverage, Köppen climate zone, Context, Street Segment, Place, Perception']
Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:10.1016/j.isprsjprs.2024.06.023
Data is stored in multiple CSVs connected via unique ID corresponding to a specific image taken at a specific location, and is made publicly available via Github and Hugging Face. The CSV format makes the dataset suitable for statistical analysis, machine learning, and integration with GIS software. However, it does not store images directly. Users must reference the dataset’s metadata to access the corresponding street-level images.
Global Streetscapes (Climate)
[]
["The Global Streetscapes Climate dataset is an open geospatial dataset that enriches street-level imagery (SVI) with critical climate-related data. It includes imagery from 688 cities worldwide, ensuring broad geographic and demographic coverage. The dataset is based on crowdsourced images sourced from Mapillary and KartaView and is enriched with climate variables through computer vision and geospatial processing.The dataset includes the Köppen climate zone associated with each image's location. This climate classification is integrated with the images based on their geospatial coordinates and temporal attributes."]
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['climate', 'urban environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-wyksjq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID,', 'Source (Mapillary or KartaView),', 'Orginal ID (by Mapillary or KartaView),', 'Koppen Geiger zone,', 'Zone description', 'Platform', 'Weather', 'View direction', 'Lighting condition', 'Panoramic status', 'Quality', 'Glare', 'Reflection']
['Köppen climate zone']
Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:10.1016/j.isprsjprs.2024.06.023
The dataset is valuable for climate research, urban sustainability, and environmental planning. It supports spatial analysis of urban heat, green space distribution, and the impact of climate factors on public health and urban life. As a point dataset, it can be integrated with other geospatial layers and climate data sources to explore patterns of urban climate resilience.
Global Streetscapes (Contextual)
[]
['Contains eight contextual attributes about conditions under which images were captured, inferred for each image.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-dztiqw
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Platform, Weather, View direction, Lighting condition, Glare, Quality, Reflection, Panoramic status']
[]
Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:10.1016/j.isprsjprs.2024.06.023
None
Global Streetscapes (Ephem)
[]
["Contains information on how long an image was taken before or after sunrise or sunset, calculated using the python package 'PyEphem'"]
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-inavdw
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Timezone, UTC offset in seconds, Calculated day or night, Hours after sunrise, Hours after sunset']
[]
Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:10.1016/j.isprsjprs.2024.06.023
None
Global Streetscapes (GADM)
[]
['Contains the administrative area associated with each image, at all available levels. Administrative area derived from the Database of Global Administrative Areas (GADM).']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-wcfrct
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City', 'County', 'State', 'Census Tract', 'Zip Code Tabulation Area (ZCTA)']
[]
Uses 5 levels of administrative areas
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Unique ID at level 0 (country) using ISO 3166-1 alpha-3 country code when available, Country Name in English, Unique ID of the level 1 state/province/equivalent within the country, Administrative type in English (following commonly used translations) at level 1, Unique ID at level 1 (state/province/equivalent), HASC (a unique ID from\xa0Statoids) at level 1, ISO 3166-2 code of the level 1 state/province/equivalent, Official name in latin script at level 1, Non-Latin name official name in a non-latin script at level 1, Administrative type in local language at level 1, Variant name alternate names in usage for the place separated by pipes | at level 1, Unique ID of the level 2 county/district/equivalent within the country, Administrative type in English (following commonly used translations) at level 2, Unique ID at level 2 (county/district/equivalent), HASC (a unique ID from\xa0Statoids) at level 2, Official name in latin script at level 2, Non-Latin name official name in a non-latin script at level 2, Administrative type in local language at level 2, Variant name alternate names in usage for the place separated by pipes | at level 2, Unique ID of the level 3 commune/municipality/equivalent within the country, Administrative type in English (following commonly used translations) at level 3, Unique ID at level 3 (commune/municipality/equivalent), HASC (a unique ID from\xa0Statoids) at level 3, Official name in latin script at level 3, Non-Latin name official name in a non-latin script at level 3, Administrative type in local language at level 3, Variant name alternate names in usage for the place separated by pipes | at level 3, Uniqe ID of the level 4 administrative areas within the country, Administrative type in English (following commonly used translations) at level 4, Unique ID at level 4, Official name in latin script at level 4, Administrative type in local language at level 4, Variant name alternate names in usage for the place separated by pipes | at level 4, Unique ID of the level 5 administrative areas within the country, Administrative type in English (following commonly used translations) at level 5, Unique ID at level 5, Official name in latin script at level 5, Administrative type in local language at level 5']
[]
Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:10.1016/j.isprsjprs.2024.06.023
None
Global Streetscapes (GHSL)
[]
['Contains the degree of urbanisation associated with the location of the image, calculated using the Global Human Settlement Layer (GHSL) database.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-pxoidt
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), GHSL urban code, GHSL urban term']
[]
Hou Y, Quintana M, Khomiakov M, Yap W, Ouyang J, Ito K, Wang Z, Zhao T, Biljecki F (2024): Global Streetscapes — A comprehensive dataset of 10 million street-level images across 688 cities for urban science and analytics. ISPRS Journal of Photogrammetry and Remote Sensing 215: 216-238. doi:10.1016/j.isprsjprs.2024.06.023
None
Global Streetscapes (H3)
[]
['Contains the ID of the h3-indexed hexagon associated with each image, at all available resolution levels from level 0 to 15.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-sypltx
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Unique index of the hexagonal cell containing the location of the image at level 0, Unique index of the hexagonal cell containing the location of the image at level 1, Unique index of the hexagonal cell containing the location of the image at level 2, Unique index of the hexagonal cell containing the location of the image at level 3, Unique index of the hexagonal cell containing the location of the image at level 4, Unique index of the hexagonal cell containing the location of the image at level 5, Unique index of the hexagonal cell containing the location of the image at level 6, Unique index of the hexagonal cell containing the location of the image at level 7, Unique index of the hexagonal cell containing the location of the image at level 8, Unique index of the hexagonal cell containing the location of the image at level 9, Unique index of the hexagonal cell containing the location of the image at level 10, Unique index of the hexagonal cell containing the location of the image at level 11, Unique index of the hexagonal cell containing the location of the image at level 12, Unique index of the hexagonal cell containing the location of the image at level 13, Unique index of the hexagonal cell containing the location of the image at level 14, Unique index of the hexagonal cell containing the location of the image at level 15']
[]
None
None
Global Streetscapes (Instances)
[]
['Contains the count of instances (65 categories) detected in each image.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-couike
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Bird, Ground-Animal, Curb, Fence, Guard-Rail, Barrier, Wall, Bike-Lane, Crosswalk---Plain, Curb-Cut, Parking, Pedestrian-Area, Rail-Track, Road, Service-Lane, Sidewalk, Bridge, Building, Tunnel, Person, Bicyclist, Motorcyclist, Other-Rider, Lane-Marking---Crosswalk, Lane-Marking---General, Mountain, Sand, Sky, Snow, Terrain, Vegetation, Water, Banner, Bench, Bike-Rack, Billboard, Catch-Basin, CCTV-Camera, Fire-Hydrant, Junction-Box, Mailbox, Manhole, Phone-Booth, Pothole, Street-Light, Pole, Traffic-Sign-Frame, Utility-Pole, Traffic-Light, Traffic-Sign-(Back), Traffic-Sign-(Front), Trash-Can, Bicycle, Boat, Bus, Car, Caravan, Motorcycle, On-Rails, Other-Vehicle, Trailer, Truck, Wheeled-Slow, Car-Mount, Ego-Vehicle']
[]
None
None
Global Streetscapes (MCA)
[]
['Contains the basic metadata common attributes (MCA) that are provided by both Mapillary and KartaView, and those we computed for both sources.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-sgaldb
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView),, Latitude, Longitude, Calculated local datetime, Year, Month, Day, Hour, Width, Height, Heading direction in degrees, Projection type, Horizontal field of view, Vertical field of view, Sequence index, Sequence ID, Sequence image count']
[]
None
None
Global Streetscapes (MKV)
[]
['Contains the metadata of each SVI originally provided by KartaView.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-dlmuka
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Datetime in GMT, Quality details, Quality level, Quality status, Image processing result, Image processing status, Date added, Date processed, Distance from previous image, Field of view, Filepath, Filepath large thumbnail, Filepath processed image, Filepath small thumbnail, File URL, File URL large thumbnail, File URL processed image, File URL small thumbnail, From, GPS accuracy, Has OBD, Headers, Image projection, Is wrapped, Is unwrapped, Match latitude, Match longitude, Match segment ID, Name of image, Org code, Yaw axis projection, Raw data ID, Status, Storage, To, Unwrap version, Video ID, Video index, Visibility, Way ID, Wrap version, Address, Country code, Device name, Distance of sequence, Sequence type, User']
[]
None
None
Global Streetscapes (MLY1)
[]
['Contains the metadata of each SVI originally provided by Mapillary. Split into five parts (metadata_mly1, metadata_mly2, metadata_mly3, metadata_mly4, metadata_mly5) to reduce file size.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
None
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-tbulnk
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Captured at (timestamp), Camera parameters, Quality score, Altitude, Atomic scale, Exif orientation, Is panoramic, Organization ID']
[]
None
None
Global Streetscapes (MLY2)
[]
['Contains the metadata of each SVI originally provided by Mapillary. Split into five parts (metadata_mly1, metadata_mly2, metadata_mly3, metadata_mly4, metadata_mly5) to reduce file size.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
None
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-fiqoon
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Computed altitude, Computed compass angle, Computed geometry, Computed rotation']
[]
None
None
Global Streetscapes (MLY3)
[]
['Contains the metadata of each SVI originally provided by Mapillary. Split into five parts (metadata_mly1, metadata_mly2, metadata_mly3, metadata_mly4, metadata_mly5) to reduce file size.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-koegcq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Camera make, Camera model, Creator username, Creator ID']
[]
None
None
Global Streetscapes (MLY4)
[]
['Contains the metadata of each SVI originally provided by Mapillary. Split into five parts (metadata_mly1, metadata_mly2, metadata_mly3, metadata_mly4, metadata_mly5) to reduce file size.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-jqtlhb
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Merge connected component, Mesh ID, Mesh URL']
[]
None
None
Global Streetscapes (MLY5)
[]
['Contains the metadata of each SVI originally provided by Mapillary. Split into five parts (metadata_mly1, metadata_mly2, metadata_mly3, metadata_mly4, metadata_mly5) to reduce file size.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-oselpz
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), SFM cluster ID, SFM Cluster URL']
[]
None
None
Global Streetscapes (OSM)
[]
['Contains the information of the OSM street segment found nearest to each image within its 10 m radius.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-gdvsnv
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Snap distance, U, V, Key, OSM ID, Oneway, Lanes, Name, Highway, Highway type, Maximum speed, Junction, Length, From, To, Reference number, Tunnel, Bridge, Service road, Access, Road width, Area, Estimated road width, Reversed']
[]
None
None
Global Streetscapes (Perception)
[]
['Contains the scores, in scale of 0-10, predicted for each of six perceptual dimensions (Safe, Lively, Beautiful, Wealthy, Boring, Depressing).']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-yndmjw
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Safe, Lively, Beautiful, Wealthy, Boring, Depressing']
[]
None
None
Global Streetscapes (Places365)
[]
['Contains the place/scene classification for each image. Provides overall semantic context of each image (ex highway, residential, park, etc).']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-wxvlav
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Place']
[]
None
None
Global Streetscapes (Season)
[]
['Contains the season determined for each image based on climate zone and month.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-vkadti
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Season']
[]
None
None
Global Streetscapes (Segmentation)
[]
['Contains the count of segmented pixels of each semantic classes (65 categories in total) identified in the image.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-lajzff
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Bird, Ground-Animal, Curb, Fence, Guard-Rail, Barrier, Wall, Bike-Lane, Crosswalk---Plain, Curb-Cut, Parking, Pedestrian-Area, Rail-Track, Road, Service-Lane, Sidewalk, Bridge, Building, Tunnel, Person, Bicyclist, Motorcyclist, Other-Rider, Lane-Marking---Crosswalk, Lane-Marking---General, Mountain, Sand, Sky, Snow, Terrain, Vegetation, Water, Banner, Bench, Bike-Rack, Billboard, Catch-Basin, CCTV-Camera, Fire-Hydrant, Junction-Box, Mailbox, Manhole, Phone-Booth, Pothole, Street-Light, Pole, Traffic-Sign-Frame, Utility-Pole, Traffic-Light, Traffic-Sign-(Back), Traffic-Sign-(Front), Trash-Can, Bicycle, Boat, Bus, Car, Caravan, Motorcycle, On-Rails, Other-Vehicle, Trailer, Truck, Wheeled-Slow, Car-Mount, Ego-Vehicle']
[]
None
None
Global Streetscapes (Simplemaps)
[]
['Contains the information of the city associated with the image, obtained from the World Cities database by Simplemaps.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-ivszxg
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), City, City ASCII, City ID, City latitude, City longitude, Country, ISO2, ISO3, Administration region name, Capital, Population, Continent']
[]
None
None
Global Streetscapes (Speed)
[]
['Contains various statistical values related to speed for each image that are a part of sequences.']
['eng']
['Since the imagery comes from crowdsourcing platforms (Mapillary and KartaView), the dataset may have variations in image quality and coverage. The data might be uneven in some areas, depending on how much imagery is available in a specific location.The dataset provides metadata about each image, but the images themselves are not included.']
['Yujun Hou', 'Matias Quintana', 'Maxim Khomiakov', 'Winston Yap', 'Jiani Ouyang', 'Koichi Ito', 'Zeyu Wang', 'Tianhong Zhao', 'Filip Biljecki']
['National University of Singapore Urban Analytics Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Streetview photographs', 'Table data']
['Neighborhood and Built Environment']
['Imagery', 'Society', 'Structure']
['Urban Environment']
['2024']
None
[2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
['herop-blhoja']
[]
[]
['No use restrictions']
['Hou et al (2024)']
[]
Public
CSV
None
{'http://schema.org/url': 'https://ual.sg/project/global-streetscapes/', 'http://schema.org/downloadUrl': 'https://huggingface.co/datasets/NUS-UAL/global-streetscapes/tree/main/data', 'http://lccn.loc.gov/sh85035852': 'https://www.sciencedirect.com/science/article/abs/pii/S0924271624002612?dgcid=author#d1e1592'}
None
herop-aawblr
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City']
[]
None
[]
['Unique image ID, Source (Mapillary or KartaView), Orginal ID (by Mapillary or KartaView), Sequence distance meters, Sequence distance kilometers, Sequence time hours, Sequence speed kph, Sequence image count, Segment mean speed kph, Segment speed variance kph, Segment maximum speed kph, Segment mean of 5 maximum speeds kph, Distance from previous image meters, Distance from previous image kilometers, Time from previous image seconds, Time from previous image hours, Average speed from previous image kph']
[]
None
None
Household Income and Incarceration for Children from Low-Income Households
[]
['The Child Opportunity Atlas maps the childhood roots of social mobility, and serves as a publicly available atlas of children’s outcomes in adulthood by Census tract using anonymized longitudinal data covering nearly the entire U.S. population. The Household Income and Incarceration for Children from Low-Income Households table reports predicted outcomes for children by three spatial resolutions (census tract, county, community zone), race and gender. They provide data for children born between 1978 and 1989. They provide predicted outcomes for children whose parents were at the 25th percentile of the national income distribution. Parents are ranked relative to other parents with children in the same birth cohort. For income variables children are ranked against other children in the same birth cohort. To protect privacy, a small amount of noise is added to each of the estimates; this noise is typically less than one-tenth the standard error of the estimate itself. The standard errors reported below incorporate both sampling error and the noise that was added to the point estimates to protect privacy.']
['eng']
[]
['Opportunity Insights']
['Opportunity Insights']
Healthy Regions + Policies Lab
['Datasets']
['Atlases', 'Census data']
['Demographics', 'Economic Stability', 'Employment', 'Education', 'Housing', 'Social and Community Context']
['Economy', 'Property', 'Society']
['Mobility', 'Income', 'Inequality']
['1984-2015']
None
[2015]
[]
['United States']
MULTIPOLYGON (((-67.15 18.5, -67.16 18.49, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.47, -67.17 18.46, -67.16 18.45, -67.18 18.41, -67.19 18.4, -67.21 18.39, -67.24 18.38, -67.26 18.37, -67.26 18.37, -67.27 18.37, -67.27 18.36, -67.27 18.36, -67.27 18.35, -67.26 18.35, -67.25 18.32, -67.24 18.32, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.3, -67.23 18.3, -67.23 18.3, -67.22 18.3, -67.19 18.27, -67.17 18.23, -67.17 18.18, -67.17 18.18, -67.17 18.18, -67.18 18.17, -67.19 18.16, -67.19 18.14, -67.19 18.13, -67.2 18.09, -67.2 18.08, -67.2 18.08, -67.21 18.04, -67.21 17.99, -67.22 17.99, -67.21 17.96, -67.21 17.95, -67.19 17.93, -67.19 17.93, -67.18 17.93, -67.15 17.95, -67.13 17.95, -67.12 17.95, -67.11 17.95, -67.11 17.95, -67.1 17.95, -67.09 17.95, -67.08 17.96, -67.04 17.97, -67 17.96, -66.98 17.95, -66.96 17.93, -66.93 17.93, -66.93 17.93, -66.92 17.93, -66.92 17.93, -66.92 17.93, -66.88 17.95, -66.87 17.95, -66.87 17.95, -66.87 17.95, 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-66 17.98, -65.99 17.97, -65.98 17.97, -65.98 17.97, -65.98 17.97, -65.94 17.97, -65.92 17.98, -65.89 17.99, -65.86 18.01, -65.84 18.01, -65.83 18.01, -65.83 18.02, -65.83 18.02, -65.83 18.02, -65.83 18.02, -65.8 18.06, -65.8 18.06, -65.8 18.06, -65.8 18.07, -65.79 18.09, -65.78 18.11, -65.77 18.14, -65.74 18.16, -65.71 18.18, -65.69 18.18, -65.69 18.18, -65.65 18.2, -65.65 18.2, -65.64 18.2, -65.64 18.2, -65.64 18.2, -65.64 18.2, -65.64 18.2, -65.63 18.2, -65.6 18.21, -65.57 18.25, -65.58 18.26, -65.59 18.26, -65.61 18.26, -65.62 18.3, -65.62 18.3, -65.63 18.33, -65.62 18.37, -65.61 18.38, -65.61 18.38, -65.61 18.38, -65.61 18.38, -65.61 18.38, -65.62 18.39, -65.62 18.39, -65.62 18.39, -65.62 18.39, -65.62 18.39, -65.64 18.38, -65.64 18.38, -65.68 18.37, -65.72 18.39, -65.73 18.39, -65.77 18.41, -65.79 18.42, -65.84 18.43, -65.84 18.43, -65.85 18.44, -65.9 18.45, -65.9 18.45, -65.9 18.45, -65.9 18.45, -65.95 18.45, -65.98 18.46, -65.98 18.46, -65.99 18.46, -66.04 18.45, -66.07 18.46, 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None
None
False
[]
[]
[]
[]
[]
[]
[]
['Oppotunity Insights']
['Oppotunity Insights']
['Oppotunity Insights']
Public
STATA, Excel
438KB - 32.8MB
{'http://schema.org/url': 'https://opportunityinsights.org/data/?geographic_level=0&topic=0&paper_id=1652#resource-listing'}
None
herop-cpeeor
[]
2025-06-15T00:52:40Z
SDOH PlaceProject
False
['County', 'Census Tract']
['']
Community Zone
['Incarceration', 'Incarcerated Parents', 'Household Income', 'Commuting Zone']
['Two-digit state 2010 FIPS code', 'Three-digit county 2010 FIPS code', 'Six-digit tract 2010 FIPS code', 'Commuting zone identifier (1990 definitions)', 'Commuting zone name', 'Mean household income rank for children whose parents were at the 25th percentile of the national income distribution', 'Estimated standard error', 'Fraction of children born in 1978-1983 birth cohorts with parents at the 25th percentile of the national income distribution who were incarcerated on April 1st, 2010.', 'Number of children under 18 living in the given tract with parents whose household income was below the national median.']
[]
Chetty, R., Hendren, N., Friedman, J., Jones, M. R., & Porter, S. R. (2018, September 30). The Opportunity Atlas: Mapping the Childhood Roots of social mobility. Opportunity Insights. https://opportunityinsights.org/paper/the-opportunity-atlas/
This table reports predicted outcomes for children by Census tract, race and gender. Each Census tract is uniquely identified by three identifiers – state, county, and tract (2010 FIPS codes). The data is organized long on Census tract and wide on race and gender, so that there is exactly one row per tract.
Housing + Transportation Index
['H+T Index']
['The Housing and Transportation (H+T®) Affordability Index provides a comprehensive view of affordability, one that includes the cost of housing and transportation at the neighborhood level. The Index shows that transportation costs vary between and within regions depending on neighborhood characteristics: (1) People who live in location-efficient neighborhoods—compact, mixed-use, and with convenient access to jobs, services, transit and amenities—tend to have lower transportation costs, and (2) People who live in location-inefficient places—less dense areas that require automobiles for most trips—are more likely to have higher transportation costs. The Index is part of a broader effort to explore urban sustainability through location efficiency.']
['eng']
[]
['The Center for Neighborhood Technology (CNT)']
['The Center for Neighborhood Technology (CNT)']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Table data']
['Housing', 'Transportation and Infrastructure']
['Climate', 'Environment', 'Transportation']
['housing', 'tranportatio', 'affordability']
['2016 -2020']
None
[2016, 2019, 2020]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
['None']
['None']
['None']
Public
None
None
{'http://schema.org/url': 'https://htaindex.cnt.org/download/data.php', 'http://lccn.loc.gov/sh85035852': 'https://htaindex.cnt.org/about/', 'http://schema.org/downloadUrl': 'https://htaindex.cnt.org/about/method-2022.pdf'}
None
herop-ddydvt
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Block Group']
['150US*']
None
['Fraction of Single-Family Detached Housing', 'Fraction of Rental Housing', 'Block size', 'TAS Jobs', 'Job Gravity', 'Job Mix Index', 'Household Density', 'Household Gravity', 'Renter Gravity', 'Bus Transit Connectivity Index(TCI)', 'Other TCI', 'Peak Services', 'Median Household Income', 'Commuters/Household', 'Household Size']
['Number of population', 'Households(HH)', 'Land_acres', 'Housing + Transportation (H+T) Affordability Index for households earning the Area Median Income (HT_AMI )', 'Housing + Transportation (H+T) Affordability Index for households earning 80% of the Area Median Income (HT_80AMI)', 'Housing + Transportation (H+T) Affordability Index for households earning the Neighborhood Median Income (HT_NMI)', 'Housing Affordability Index for households earning the Area Median Income (H_AMI )', 'Housing Affordability Index for households earning 80% of the Area Median Income (H_80AMI)', 'Housing Affordability Index for households earning the Neighborhood Median Income (H_NMI)', 'Transportation Affordability Index for households earning the Area Median Income (T_AMI )', 'Transportation Affordability Index for households earning 80% of the Area Median Income (T_80AMI)', 'Transportation Affordability Index for households earning the Neighborhood Median Income (T_NMI)', 'CO2_per_hh_local', 'Autos_per_hh_ami', 'Autos_per_hh_80ami', 'Autos_per_hh_nmi', 'Vehicle Miles Traveled (VMT)_per_hh_ami', 'VMT_per_hh_80ami', 'VMT_per_hh_nmi', 'Percent(PCT)_transit_commuters_ami', 'PCT_transit_commuters_80ami', 'PCT_transit_commuters_nmi', 'T_cost_ami', 'T_cost_80ami', 'T_cost_nmi', 'Auto_ownership_cost_ami', 'Auto_ownership_cost_80ami', 'Auto_ownership_cost_nmi', 'VMT_cost_ami', 'VMT_cost_80ami', 'VMT_cost_nmi', 'Transit_cost_ami', 'Transit_cost_80ami', 'Transit_cost_nmi', 'Transit_trips_ami', 'Transit_trips_80ami', 'Transit_trips_nmi', 'Compact_ndx', 'Emp_ovrll_ndx', 'Gross_hh_density', 'HH_gravity', 'Fraction of Single-Family Detached Housing(frac_sfd)', 'Emp_gravity', 'Emp_ndx', 'Block_size', 'H_cost', 'Median_Selected Monthly Owner Costs (smoc)', 'Median_gross_rent', 'PCT_owner_occupied_housing', 'PCT_renter_occupied_housing']
['Housing + Transportation (H + T) Costs as a Percent of Household Income']
None
None
Housing + Transportation Index 2016
[]
['The Housing and Transportation (H+T®) Affordability Index provides a comprehensive view of affordability, one that includes the cost of housing and transportation at the neighborhood level. The Index is part of a broader effort to explore urban sustainability through location efficiency']
['eng']
[]
['The Center for Neighborhood Technology (CNT)']
['The Center for Neighborhood Technology (CNT)']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Point data']
['Housing']
['Climate', 'Environment', 'Transportation']
['housing']
['2016']
None
[2016]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
None
False
[]
[]
[]
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['herop-ddydvt']
[]
[]
['None']
['None']
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Public
CSV
None
{'http://schema.org/url': 'https://htaindex.cnt.org/download/data.php'}
None
herop-xkziex
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City', 'County', 'State', 'Census Tract', 'Census Block', 'Census Block Group']
[]
None
['Population', 'Households']
['Annual GHG per Household', 'Annual GHG per Acre', 'Area Median Income', 'Auto Ownership Costs', 'Auto Use Costs', 'Autos per Household', 'Average Available Transit Trips per Week', 'Average Commuters per Household', 'Average Household Size', 'Average Monthly Housing Costs', 'Average Regional Gas Price', 'Carbon Dioxide (CO2) Emissions', 'Compact Neighborhood Score', 'Employment Access Index', 'Employment Mix Index', 'Housing Costs as a Percent of Household Income', 'Housing + Transportation (H + T) Costs as a Percent of Household Income', 'Intersection Density', 'Job Access Score', 'Jobs within Transit Access Shed', 'Median Gross Rent', 'Median Household Income', 'Median Selected Monthly Ownership Costs', 'National Typical Household', 'Percent Owner Occupied Housing Units', 'Percent Renter Occupied Housing Unit', 'Percent Single Family Detached Households', 'Regional Household Intensity', 'Regional Moderate Household', 'Regional Typical Household', 'Transit Access Score', 'Transit Connectivity Index', 'Transit Use Costs', 'Transportation Costs', 'Transportation Costs as a Percent of Household Income', 'Vehicle Miles Traveled (VMT)']
[]
None
None
Housing + Transportation Index 2019
[]
['The Housing and Transportation (H+T®) Affordability Index provides a comprehensive view of affordability, one that includes the cost of housing and transportation at the neighborhood level. The Index is part of a broader effort to explore urban sustainability through location efficiency']
['eng']
[]
['The Center for Neighborhood Technology (CNT)']
['The Center for Neighborhood Technology (CNT)']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Point data']
['Housing']
['Climate', 'Environment', 'Transportation']
['housing']
['2019']
None
[2019]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
None
False
[]
[]
[]
[]
['herop-ddydvt']
[]
[]
['None']
['None']
['None']
Public
CSV
None
{'http://schema.org/url': 'https://htaindex.cnt.org/download/data.php'}
None
herop-ppsyec
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City', 'County', 'State', 'Census Tract', 'Census Block', 'Census Block Group']
[]
None
['Population', 'Households']
['Annual GHG per Household', 'Annual GHG per Acre', 'Area Median Income', 'Auto Ownership Costs', 'Auto Use Costs', 'Autos per Household', 'Average Available Transit Trips per Week', 'Average Commuters per Household', 'Average Household Size', 'Average Monthly Housing Costs', 'Average Regional Gas Price', 'Carbon Dioxide (CO2) Emissions', 'Compact Neighborhood Score', 'Employment Access Index', 'Employment Mix Index', 'Housing Costs as a Percent of Household Income', 'Housing + Transportation (H + T) Costs as a Percent of Household Income', 'Intersection Density', 'Job Access Score', 'Jobs within Transit Access Shed', 'Median Gross Rent', 'Median Household Income', 'Median Selected Monthly Ownership Costs', 'National Typical Household', 'Percent Owner Occupied Housing Units', 'Percent Renter Occupied Housing Unit', 'Percent Single Family Detached Households', 'Regional Household Intensity', 'Regional Moderate Household', 'Regional Typical Household', 'Transit Access Score', 'Transit Connectivity Index', 'Transit Use Costs', 'Transportation Costs', 'Transportation Costs as a Percent of Household Income', 'Vehicle Miles Traveled (VMT)']
[]
None
None
Housing + Transportation Index 2020
[]
['The Housing and Transportation (H+T®) Affordability Index provides a comprehensive view of affordability, one that includes the cost of housing and transportation at the neighborhood level. The Index is part of a broader effort to explore urban sustainability through location efficiency.']
['eng']
[]
['The Center for Neighborhood Technology (CNT)']
['The Center for Neighborhood Technology (CNT)']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps']
['Point data']
['Housing', 'Transportation and Infrastructure']
['Climate', 'Environment', 'Transportation']
['housing']
['2020']
2020
[2020]
[]
['Alabama', 'Alaska', 'Arizona', 'Arkansas', 'California', 'Colorado', 'Connecticut', 'Delaware', 'District of Columbia', 'Florida', 'Georgia', 'Hawaii', 'Idaho', 'Illinois', 'Indiana', 'Iowa', 'Kansas', 'Kentucky', 'Louisiana', 'Maine', 'Maryland', 'Massachusetts', 'Michigan', 'Minnesota', 'Mississippi', 'Missouri', 'Montana', 'Nebraska', 'Nevada', 'New Hampshire', 'New Jersey', 'New Mexico', 'New York', 'North Carolina', 'North Dakota', 'Ohio', 'Oklahoma', 'Oregon', 'Pennsylvania', 'Rhode Island', 'South Carolina', 'South Dakota', 'Tennessee', 'Texas', 'Utah', 'Vermont', 'Virginia', 'Washington', 'West Virginia', 'Wisconsin', 'Wyoming']
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None
None
False
[]
[]
[]
[]
['herop-ddydvt']
[]
[]
['None']
['None']
['None']
Public
CSV
None
{'http://schema.org/url ': 'https://htaindex.cnt.org/download/data.php'}
None
herop-adtyqz
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['City', 'County', 'State', 'Census Tract', 'Census Block', 'Census Block Group']
[]
None
['Population', 'Households']
['Annual GHG per Household', 'Annual GHG per Acre', 'Area Median Income', 'Auto Ownership Costs', 'Auto Use Costs', 'Autos per Household', 'Average Available Transit Trips per Week', 'Average Commuters per Household', 'Average Household Size', 'Average Monthly Housing Costs', 'Average Regional Gas Price', 'Carbon Dioxide (CO2) Emissions', 'Compact Neighborhood Score', 'Employment Access Index', 'Employment Mix Index', 'Housing Costs as a Percent of Household Income', 'Housing + Transportation (H + T) Costs as a Percent of Household Income', 'Intersection Density', 'Job Access Score', 'Jobs within Transit Access Shed', 'Median Gross Rent', 'Median Household Income', 'Median Selected Monthly Ownership Costs', 'National Typical Household', 'Percent Owner Occupied Housing Units', 'Percent Renter Occupied Housing Unit', 'Percent Single Family Detached Households', 'Regional Household Intensity', 'Regional Moderate Household', 'Regional Typical Household', 'Transit Access Score', 'Transit Connectivity Index', 'Transit Use Costs', 'Transportation Costs', 'Transportation Costs as a Percent of Household Income', 'Vehicle Miles Traveled (VMT)']
[]
None
None
Livability Index
['AARP Livability Index']
['The AARP Livability Index takes every community in the United States and assigns a score based on services and amenities that affect people’s lives the most. The AARP Livability Index provides users with a full view of the quality of a community based on the current and future needs of everyone. The AARP Livability Index aims its focus on seven crutial and distinct categories: housing, neighborhood, transportation, environment, health, engagement, and opportunity.']
['eng', 'spa']
['Information: This product is primarily a data dashboard and exploration platform. See original sources of data measures for downloadable datasets.', 'The AARP Livability Index™ considers seven categories: housing, neighborhood, transportation, environment, health, engagement, and opportunity. For each category, the AARP Livability Index™ evaluates current conditions as well as policies and programs that can enhance community livability over time.', 'The list of methodological variables presented here is not exhaustive; however, we have made every effort to incorporate as many relevant variables as possible within the scope of this study.']
['AARP']
['AARP']
AARP
['Maps', 'Websites']
['Statistical maps', 'Thematic maps']
['Demographics', 'Health and Healthcare', 'Housing', 'Neighborhood and Built Environment', 'Physical Activity and Lifestyle', 'Social and Community Context', 'Transportation and Infrastructure', 'Composite Index']
['Environment', 'Health', 'Society']
['Livability', 'Housing', 'Transportation', 'Environment', 'Neighborhood']
[]
2015
[2024]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
PDF
None
{'http://schema.org/url': 'https://livabilityindex.aarp.org/', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.26419/ppi.00230.001'}
None
herop-qatixm
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['City', 'State', 'Zip Code Tabulation Area (ZCTA)']
[]
None
['Zero-step entrances', 'Availability of multi-family housing', 'Housing costs', 'Housing cost burden', 'Availability of subsidized housing', 'State and local inclusive design laws', 'State and local housing trust funds', 'State manufactured housing protections', 'State foreclosure prevention and protection', 'State accessory dwelling units support', 'Access to grocery stores and farmers’ markets', 'Access to parks', 'Access to libraries', 'Access to jobs by transit', 'Access to jobs by auto', 'Diversity of destinations', 'Activity density', 'Crime rate', 'Vacancy rate', 'State and local TOD programs', 'Frequency of local transit service', 'ADA-accessible stations and vehicles', 'Walkability Index', 'Congestion', 'Household transportation costs', 'Speed limits', 'Crash rate', 'State and local Complete Streets policies', 'State human services transportation coordination', 'State volunteer driver policies', 'Drinking water quality', 'Regional air quality', 'Near-roadway pollution', 'Local industry pollution', 'State utility disconnection policies', 'Local multi-hazard mitigation plans', 'State energy efficiency scorecard', 'Smoking prevalence', 'Obesity prevalence', 'Access to exercise opportunities', 'Health care professional shortage areas', 'Preventable hospitalization rate', 'Patient satisfaction', 'State and local smoke-free laws', 'Broadband cost and speed', 'Opportunity for civic involvement', 'Voting rate', 'Social involvement index', 'Cultural, arts, and entertainment institutions', 'State barriers to community broadband', 'State laws supporting voter participation', 'Local human rights commissions', 'Municipal LGBTQ+ anti-discrimination laws', 'Income inequality', 'Jobs per worker', 'High school graduation rate', 'Age diversity', 'Local government creditworthiness', 'State and local minimum wage increase', 'State expansion of the Family and Medical Leave Act', 'State and local commitment to create age-friendly communities', 'Households without a vehicle', 'Median household income', 'Life Expectancy', '% of the population with income below poverty', 'Upward Mobility', '% of the population with a disability', 'Average temperature in January', 'Minimum temperature in January', 'Maximum temperature in January', 'Average precipitation in January', 'Average temperature in July', 'Minimum temperature in July', 'Maximum temperature in July', 'Average precipitation in July']
['Percentage of housing units with a zero-step entrance', 'Percentage of housing units that are not single-family, detached homes', 'Monthly housing costs', 'Percentage of income devoted to monthly housing costs;', 'Number of subsidized housing units per 10,000 people', 'State and local laws that make housing accessible for people of all abilities', 'State and local funds that support the development and preservation of affordable housing', 'State laws guaranteeing notice and/or first right of purchase to residents of manufactured housing communities prior to sale', 'State policies and programs that protect homeowners from losing their homes to foreclosure', 'State laws that facilitate the creation of local accessory dwelling units', 'Number of grocery stores and farmers’ markets within a half mile', 'Number of parks within a half-mile', 'Number of libraries within a half-mile', 'Number of jobs accessible within a 45-minute transit commute', 'Number of jobs accessible within a 45-minute automobile commute', 'Mix of jobs within a mile', 'Combined number of jobs and people per square mile', 'Combined violent and property crimes per 10,000 people', 'Percentage of vacant housing units', 'State and local programs that support transit-oriented development', 'Total number of buses and trains per hour in both directions for all stops within a quarter-mile', 'Percentage of transit stations and vehicles that are ADA-accessible', 'Relative walkability of a neighborhood compared to all other neighborhoods in the U.S.', 'Estimated total hours that the average commuter spends in traffic each year', 'Estimated household transportation costs', 'Average speed limit on streets and highways', 'Annual average number of fatal crashes per 100,000 people', 'State and local Complete Streets policies', 'State human services transportation coordination councils', 'State policies that remove barriers to volunteer driver programs', 'Percentage of the population getting water from public water systems with at least one health-based violation during the past year', 'Number of days per year when regional air quality is unhealthy for sensitive populations', 'Percentage of the population living within 200 meters of a high-traffic road with more than 25,000 vehicles per day', 'Toxicity of airborne chemicals released from nearby industrial facilities', 'State date-based policies prohibiting disconnection of utility service', 'FEMA-approved local multi-hazard mitigation plans', 'State policies that support energy-efficient buildings, facilities, and appliances', 'Estimated smoking rate', 'Estimated obesity rate', 'Percentage of people who live within a half mile of parks and within 1 mile of recreational facilities (3 miles for rural areas)', 'Severity of clinician shortage', 'Number of hospital admissions for conditions that could be effectively treated through outpatient care per 1,000 patients', 'Percentage of patients who give area hospitals a rating of 9 or 10', 'State and local laws that prohibit smoking in workplaces, restaurants, and bars', 'Percentage of residents who have access to three or more wireline internet service providers, and two or more providers that offer maximum advertised download speeds of 50 megabits per second', 'Number of civic, social, religious, political, and business organizations per 10,000 people', 'Percentage of people ages 18 years or older who voted in the last presidential election', 'Extent to which residents belong to groups, organizations, or associations, see or hear from friends and family, do favors for neighbors, or do something positive for their community', 'Number of movie theaters and entertainment centers within 5 miles and performing arts and sports venues within 15 miles per 10,000 people', 'Absence of state policies that prevent or discourage communities from operating public broadband networks', 'State laws supporting voter participation', 'Local human rights commissions', 'Total score of 75 or greater from the Human Rights Campaign Municipal Equality Index', 'The Gini Index or coefficient is a measure of income inequality (the gap between rich and poor)', 'Number of jobs per person in the workforce', 'Adjusted 4-year high school cohort graduation rate', 'Age-group diversity of local population compared to the national population', 'Local government AAA general obligation bond rating', 'State and local minimum wage is higher than the federal minimum wage and is adjusted for increases in the cost of living', 'State policies that expand upon the federal Family and Medical Leave Act (FMLA) to provide additional leave benefits to workers', 'Communities that have taken comprehensive steps to prepare for the aging of the U.S. population', 'Population characteristic', 'Transportation', 'Health', 'Average individual income for those in their mid-30s who grew up with low-income parents, divided by the commuting-zone average individual income of those in their mid-30s (regardless of parent income)']
['AARP Livability Score']
AARP Public Policy Institute, Livable Communities. The AARP Livability Index™ Categories Explained. Washington, DC: AARP Public Policy Institute, June 27, 2024. https://doi.org/10.26419/ppi.00230.000.
The AARP Livability Index takes a holistic approach to understanding livability. It wasn’t created to solely measure the quality of the built environment or the health of residents. It includes those elements, but it also considers engagement, opportunity, and the natural environment. It encourages policymakers and professionals to get outside their areas of expertise and understand the interrelated nature of livability.
MIT StreetScore
['MIT StreetScore']
['Streetscore is a scene understanding algorithm that predicts the perceived safety of a streetscape, using training data from an online survey with contributions from more than 7000 participants.']
['eng']
[]
['Nikhil Naik', 'Jade Philipoom', 'Ramesh Rashkar', 'Cesar Hidalgo']
['MIT Media Lab']
None
['Imagery', 'Websites']
['Streetview photographs']
['Neighborhood and Built Environment', 'Safety', 'Social and Community Context']
[]
['Street Views', 'Urban Environment', 'Photographs', 'StreetScore', 'Street Segment', 'Built Environment', 'Streetscape']
[]
None
[]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Restricted
None
None
{}
None
herop-hlcuhd
[]
2025-06-15T00:58:59Z
SDOH PlaceProject
False
['Other']
['StreetScore']
None
[]
[]
[]
Naik, N., Philipoom, J., Raskar, R., & Hidalgo, C. (2014). Streetscore -Predicting the Perceived Safety of One Million Streetscapes. In MIT Media Lab. https://www.media.mit.edu/projects/streetscore/overview/
None
MODIS Combined 16-Day NDVI
['MODIS Combined 16-Day NDVI (Google Earth Engine)']
['This Normalized Difference Vegetation Index is an index of greenness generated from MODIS satellite imagery. Google Earth Engine provides streamlined access for users to pull spatially and temporally specific data.']
['eng']
["Google Earth Engine is free to use for research, education, and nonprofit use. Original data can be found through NASA's LP DAAC."]
['Kamel Didan']
['Land Processes Distributed Active Archive Center']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Imagery']
['Raster data']
['Food Environment', 'Health and Healthcare', 'Neighborhood and Built Environment', 'Greenspaces']
['Land Cover']
['Remote Sensing', 'Vegetation', 'Satellite Data', 'Surface', 'Vegetation']
['2000-2023']
None
[2000]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
['MODIS data and products acquired through the LP DAAC have no restrictions on subsequent use, sale, or redistribution.']
['LP DAAC']
[]
Public
GeoTIFF
None
{'http://schema.org/url': 'https://developers.google.com/earth-engine/datasets/catalog/MODIS_MCD43A4_006_NDVI#description', 'http://lccn.loc.gov/sh85035852': 'https://modis.gsfc.nasa.gov/data/atbd/atbd_mod13.pdf'}
None
herop-eflmqc
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['City', 'County', 'State', 'Census Tract', 'Census Block', 'Census Block Group', 'Zip Code Tabulation Area (ZCTA)']
[]
500m resolution
['BRDF Albedo Mandatory Quality for Band 3', 'BRDF Albedo Mandatory Quality for Band 4', 'NBAR at local solar noon for Band 3', 'NBAR at local solar noon for Band 4']
['BRDF Albedo Mandatory Quality for Band 1', 'BRDF Albedo Mandatory Quality for Band 2', 'BRDF Albedo Mandatory Quality for Band 3', 'BRDF Albedo Mandatory Quality for Band 4', 'BRDF Albedo Mandatory Quality for Band 5', 'BRDF Albedo Mandatory Quality for Band 6', 'BRDF Albedo Mandatory Quality for Band 7', 'NBAR at local solar noon for Band 1', 'NBAR at local solar noon for Band 2', 'NBAR at local solar noon for Band 3', 'NBAR at local solar noon for Band 4', 'NBAR at local solar noon for Band 5', 'NBAR at local solar noon for Band 6', 'NBAR at local solar noon for Band 7']
['NDVI']
NASA LP DAAC. (2017). MODIS MCD43A4.006 Nadir BRDF-Adjusted Reflectance (NBAR) [Dataset]. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD43A4.006
None
NaNDA (National Neighborhood Data Archive)
[]
[]
[]
[]
[]
[]
None
['Collections']
[]
['Neighborhood and Built Environment']
['Society']
['Neighborhood Data']
[]
None
[]
[]
[]
None
None
None
False
[]
[]
[]
[]
['herop-rkcyhr']
[]
[]
[]
[]
[]
Public
None
None
{}
None
herop-zrurpe
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State', 'Census Tract', 'Census Block', 'Census Block Group', 'Zip Code Tabulation Area (ZCTA)']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI)
['National Emissions Inventory (NEI)']
['The National Emissions Inventory (NEI) is a comprehensive and detailed estimate of air emissions of criteria pollutants, criteria precursors, and hazardous air pollutants from air emissions sources. The NEI is released every three years based primarily upon data provided by state, local, and tribal air agencies for sources in their jurisdictions and supplemented by data developed by the US EPA. The NEI is built using the Emissions Inventory System (EIS) first to collect the data from state, local, and tribal air agencies and then to blend that data with other data sources.']
['eng']
['Info: Emission data is available at the address-level for point estimates.']
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Natural Environment', 'Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['1990-2020']
2023
[2020, 2017, 2014, 2011, 2008, 2005, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1990]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
ZIP, CSV
None
{'http://schema.org/url': 'https://www.epa.gov/air-emissions-inventories/national-emissions-inventory-nei'}
None
herop-odfmer
[]
2025-06-16T14:44:22Z
SDOH PlaceProject
False
['Other']
['']
None
['Pollutant (e.g., Carbon Dioxide, Methane, Nitrogen Oxides)', 'Pollutant Type (e.g., GHG, CAP, HAP, which categorize pollutants by type)', 'EIS Sector (e.g., Mobile - On-Road Diesel Heavy Duty Vehicles)', 'Source (e.g., Onroad, identifying the source category)', 'SCC LEVEL 1 (e.g., Mobile Sources, first-level classification in SCC)', 'SCC LEVEL 2 (e.g., Highway Vehicles - Diesel, second-level classification in SCC)', 'SCC LEVEL 3 (e.g., Combination Short-haul, third-level classification in SCC)', 'SCC LEVEL 4 (e.g., All on-road or all off-network, fourth-level classification in SCC)']
['Emissions (Tons)', 'Pollutant (e.g., Carbon Dioxide, Methane, Nitrogen Oxides)', 'Pollutant Type (e.g., GHG, CAP, HAP, which categorize pollutants by type)', 'EIS Sector (e.g., Mobile - On-Road Diesel Heavy Duty Vehicles)', 'Source (e.g., Onroad, identifying the source category)', 'SCC LEVEL 1 (e.g., Mobile Sources, first-level classification in SCC)', 'SCC LEVEL 2 (e.g., Highway Vehicles - Diesel, second-level classification in SCC)', 'SCC LEVEL 3 (e.g., Combination Short-haul, third-level classification in SCC)', 'SCC LEVEL 4 (e.g., All on-road or all off-network, fourth-level classification in SCC)']
['Emissions']
US EPA (2015). National emissions inventory (NEI). https://www.epa.gov/air-emissions-inventories/national-emissions-inventory-nei
The raw data and summaries that are still available (dating back to 1990) can be obtained from the web page https://www.epa.gov/air-emissions-inventories/pollutant-emissions-summary-files-earlier-neis. Starting with 2001 data, a more limited selection of summary files are available.
National Emissions Inventory (NEI) 1990
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['1990']
2005
[1990]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/1990criteriasummaryfiles/'}
None
herop-ymkxtl
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 1996
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['1996']
2005
[1996]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/1996criteriasummaryfiles/'}
None
herop-docvuy
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 1997
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['1997']
2005
[1997]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
['Oppotunity Insights']
[]
[]
Public
ZIP
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/1997criteriasummaryfiles/'}
None
herop-rffntv
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 1998
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['1998']
2005
[1998]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/1998criteriasummaryfiles/'}
None
herop-ccmkcj
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 1999
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['1999']
2005
[1999]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/1999criteriasummaryfiles/'}
None
herop-sdiwma
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2000
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2000']
2005
[2000]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei//nei_criteria_summaries/2000criteriasummaryfiles/'}
None
herop-vvcniw
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2001
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2001']
2005
[2001]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/2001criteriasummaryfiles/'}
None
herop-upbqnl
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2002
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2002']
2016
[2002]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP, Excel
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/2002summaryfiles/'}
None
herop-ugvziw
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2005
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2005']
2016
[2005]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP, Excel
None
{'http://schema.org/url': 'https://gaftp.epa.gov/air/nei/nei_criteria_summaries/2005summaryfiles/'}
None
herop-iyeast
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2008
[]
['The 2008 NEI Technical Support Document is a draft and using an improved format from past documents. Although in draft form, this version provides all of the documentation available in past 2008 NEI releases as well as additional analysis about the sources of data used the NEI. Placeholder sections are included so that major section numbers will not change in future versions. This draft document will be replaced with updated versions as they become available.']
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2008']
2011
[2008]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP, CSV
None
{'http://schema.org/url': 'https://www.epa.gov/air-emissions-inventories/2008-national-emissions-inventory-nei-data'}
None
herop-rsfwqr
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2011
[]
[]
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2011']
2014
[2011]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP, CSV
None
{'http://schema.org/url': 'https://www.epa.gov/air-emissions-inventories/2011-national-emissions-inventory-nei-data'}
None
herop-uxfpfl
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2014
[]
['The NEI database includes air emissions sources of both criteria of both criteria and hazardous air pollutants. Data are available for many facilities and as county totals. The 2014 NEI is the next inventory on the three-year cycle and the EPA will create it using data provided by State, Local and Tribal air agencies. The Emissions Inventory System (EIS) helps the EPA to build the NEI.']
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2014']
2017
[2014]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP, CSV
None
{'http://schema.org/url': 'https://www.epa.gov/air-emissions-inventories/2014-national-emissions-inventory-nei-data'}
None
herop-njfpkj
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2017
[]
['January 2021 version: The 2017 NEI, last released in April 2020, has been updated to include a revised point inventory that corrects airport emissions and incorporates updates to some facilities in several states. All other data category components of the 2017 NEI are unchanged from the April 2020 release: nonpoint (including biogenics, commercial marine vessels, and rail line emissions), onroad mobile, nonroad mobile, and events (wildfires and prescribed burning emissions). All 2017 NEI data products impacted by changes to the point inventory have been updated, including point inventory summaries, All Sectors, and Tier summaries, as well as the associated data query tools. An accompanying interactive 2017 NEI Report is also being released with this update. This is the final public release of the 2017 NEI.']
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2017']
2020
[2017]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP, CSV
None
{'http://schema.org/url': 'https://www.epa.gov/air-emissions-inventories/2017-national-emissions-inventory-nei-data'}
None
herop-getwnt
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State']
[]
None
[]
[]
[]
None
None
National Emissions Inventory (NEI) 2020
[]
['The 2020 NEI includes air emissions sources of both criteria and hazardous air pollutants, and data are available for many facilities and county totals. The Emissions Inventory System (EIS) helps the EPA to build the NEI.']
['eng']
[]
['U.S. Environmental Protection Agency (EPA)']
['U.S. Environmental Protection Agency (EPA)']
Healthy Regions + Policies Lab
['Datasets']
['Point data', 'Table data']
['Safety', 'Transportation and Infrastructure']
['Environment', 'Health', 'Location']
['pollutant', 'emissiont', 'air problem']
['2020']
2023
[2020]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-odfmer']
[]
[]
[]
[]
[]
Public
ZIP, CSV
None
{'http://schema.org/url': 'https://www.epa.gov/air-emissions-inventories/2020-national-emissions-inventory-nei-data'}
None
herop-dmjqod
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State']
[]
None
[]
[]
[]
None
None
National Environmental Public Health Tracking Network
['National Environmental Public Health Tracking Network']
['The National Environmental Public Health Tracking Network brings together health data and environmental data from national, state, and city sources and provides supporting information to make the data easier to understand. The Tracking Network has data and information on environments and hazards, health effects, and population health.']
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Natural Environment', 'Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['Environment Data', 'Health Outcomes', 'Transportation', 'Diseases']
['2005- 2019']
None
[2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]
[]
['United States']
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2025-08-05T23:29:22Z
SDOH PlaceProject
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Population Area, 1-year Period)', 'Crude Prevalence of Current Asthma among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Current Asthma among Adults >=18 Years of Age (Model-based; County)', 'Metals and Metalloids in Urine (1999-2014)', 'Metals and Metalloids in Urine (2015-2016)', 'Metals in Blood', 'Perfluoroalkyl and Polyfluoroalkyl Substances: Surfactants in Blood', 'Personal Care and Consumer Products Metabolites in Urine', 'Pesticide Metabolites: Organophosphorus Metabolites in Urine', 'Pesticide Metabolites: Pyrethroid Metabolites in Urine', 'Polycyclic Aromatic Hydrocarbons in Urine', 'Phthalate Metabolites in Urine', 'Disinfection By-products in Blood (2001-2004)', 'Disinfection By-products in Blood (2005-2010)', 'Disinfection By-products in Blood (2011-2014)', 'Volatile Organic Compounds in Blood (2001-2004)', 'Volatile Organic Compounds in Blood (2005-2010)', 'Volatile Organic Compounds in Blood (2011-2014)', 'Tobacco Metabolite in Blood', 'Metals and Metalloids in Urine 1999-2014 (Creatinine Corrected)', 'Metals and Metalloids in Urine 2015-2016 (Creatinine Corrected)', 'Lead in Blood', 'Personal Care and Consumer Products Metabolites in Urine (Creatinine Corrected)', 'Pesticide Metabolites: Organophosphorus Metabolites in Urine (Creatinine Corrected)', 'Pesticide Metabolites: Pyrethroid Metabolites in Urine (Creatinine Corrected)', 'Polycyclic Aromatic Hydrocarbons in Urine (Creatinine Corrected)', 'Phthalate Metabolites in Urine (Creatinine Corrected)', 'Tobacco Metabolite in Blood (in Smokers)', 'Pesticide Metabolites: Herbicide Metabolites in Urine', 'Pesticide Metabolites: Herbicide Metabolites in Urine (Creatinine Corrected)', 'Volatile Organic Compound Metabolites in Urine 2011-2016', 'Volatile Organic Compound Metabolites in Urine 2011-2016 (Creatinine Corrected)', 'Average Annual Number of Cases of Anencephaly among Live Births over a 5-year Period', 'Prevalence of Anencephaly per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Spina Bifida w/out Anencephaly among Live Births over a 5-year Period', 'Prevalence of Spina Bifida (without Anencephaly) per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Hypoplastic Left Heart Syndrome among Live Births over a 5-year Period', 'Prevalence of Hypoplastic Left Heart Syndrome per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Tetralogy of Fallot among Live Births over a 5-year Period', 'Prevalence of Tetralogy of Fallot per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Transposition of the Great Arteries (Vessels) among Live Births over a 5-year Period', 'Prevalence of Transposition of the Great Arteries (Vessels) per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Cleft Palate without Cleft Lip among Live Births over a 5-year Period', 'Prevalence of Cleft Palate without Cleft Lip per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Hypospadias among Live Male Births over a 5-year Period', 'Prevalence of Hypospadias per 10,000 Live Male Births over a 5-year Period', 'Average Annual Number of Cases of Gastroschisis among Live Births over a 5-year Period', 'Prevalence of Gastroschisis per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Trisomy 21 to Mothers <35 Years of Age at Delivery over a 5-year Period', 'Prevalence of Trisomy 21 per 10,000 Live Births to Mothers <35 Years of Age at Delivery over a 5-year Period', 'Average Annual Number of Cases of Trisomy 21 to Mothers >=35 Years of Age at Delivery over a 5-year Period', 'Prevalence of Trisomy 21 per 10,000 Live Births to Mothers >=35 Years of Age at Delivery over a 5-year Period', 'Average Annual Number of Cases of Cleft Lip with Cleft Palate among Live Births over a 5-year Period', 'Average Annual Number of Cases of Cleft Lip without Cleft Palate among Live Births over a 5-year Period', 'Average Annual Number of Cases of Limb Deficiencies Combined among Live Births over a 5-year Period', 'Prevalence of Cleft Lip with Cleft Palate per 10,000 Live Births over a 5-year Period', 'Prevalence of Cleft Lip without Cleft Palate per 10,000 Live Births over a 5-year Period', 'Prevalence of Limb Deficiencies Combined per 10,000 Live Births over a 5-year Period', 'Percent of Land Covered by Forest', 'Percent of Land Used for Development', 'Percent of Land Used for Agriculture', 'Number of Housing Units', 'Number of Housing Units with >=10 Units', 'Number of Housing Units with More People than Rooms', 'Number of Vacant Housing Units', 'Number of Renter-occupied Housing Units', 'Number of Mobile-home Housing Units', 'Number of Housing Units with No Vehicle Available', 'Number of People Living in Group Quarters', 'Percent of Land Covered by Water', 'Percent of Housing Units with >=10 Units', 'Percent of Housing Units with More People than Rooms', 'Percent of Vacant Housing Units', 'Percent of Renter-occupied Housing Units', 'Percent of Mobile-home Housing Units', 'Percent of Housing Units with No Vehicle Available', 'Percent Population Living in Group Quarters', 'Classification of County from Rural to Urban (Two Category Scale)', 'Classification of County from Rural to Urban (Six Category Scale)', 'Average Percent of Developed Imperviousness', 'Number of People with Access to a Computer with Internet but No Cell Phone', 'Percent of People with Access to a Computer with Internet but No Cell Phone', 'Number of Households with a Smartphone', 'Percent of Households with a Smartphone', 'Number of Households with a Smartphone but No Other Device', 'Percent of Households with a Smartphone but No Other Device', 'Number of Households with No Internet Access', 'Percent of Households with No Internet Access', 'Number of Unemployed People >16 Years of Age Who Have a Computer without Internet Subscription', 'Percent of Unemployed People >16 Years of Age Who Have a Computer without Internet Subscription', 'Number of People >65 Years of Age Who Have a Computer without Internet Subscription', 'Percent of People >65 Years of Age Who Have a Computer without Internet Subscription', 'Number of People >25 Years of Age with Low Education Who Have a Computer without Internet Subscription', 'Percent of People >25 Years of Age with Low Education Who Have a Computer without Internet Subscription', 'Number of Households with Income Less Than $20,000 without an Internet Subscription', 'Percent of Households with Income Less Than $20,000 without an Internet Subscription', 'Low Income and Low Food Access Measured at 1 Mile for Urban Areas and 10 Miles for Rural Areas', 'Low Income and Low Food Access Measured at 1/2 Mile for Urban Areas and 10 Miles for Rural Areas', 'Low Income and Low Food Access Measured at 1 Mile for Urban Areas and 20 Miles for Rural Areas', 'Low Income and Low Food Access using Vehicle Access or Low Income and Low Access Tract Measured at 20 Miles', 'Percent of Housing Units by Year Structure Built', 'Average Normalized Difference Vegetation Index (NDVI) Value by Census Tract', 'Percent of Public Schools Located within 150 m of a Highway', 'Percent of Population Living within 150 m of a Highway', 'Number of People Living Within 1/2 or 1 mile of a Park', 'Percent of People Living Within 1/2 or 1 mile of a Park', 'Number of Children Aged 5-17 Years Old Living Within 1/2 or 1 Mile of a Public School', 'Percent of Children Aged 5-17 Years Old Living Within 1/2 or 1 Mile of a Public School', 'Annual Change in Average Normalized Difference Vegetation Index (NDVI) Value by Census Tract', 'Number of Hospitals', 'Number of Hospitals per 100,000 Population', 'Number of Hospital Beds', 'Number of Hospital Beds per 10,000 Population', 'Percent of Hospitals within Flood Hazard Area', 'Percent of Hospital Beds within Flood Hazard Area', 'Number of Pharmacies per 100,000 Population', 'Number of CLIA-waived Pharmacies', 'Total Number of Pharmacists', 'Number of Pharmacists per 100,000 Population', 'Real-time Power Outages', 'Annual Number of Cases of Bladder Cancer (Including In Situ)', 'Age-adjusted Incidence Rate of Bladder Cancer (including in situ) per 100,000 Population', 'Annual Number of Cases of Brain and Other Nervous System Cancer', 'Age-adjusted Incidence Rate of Brain and Other Nervous System Cancer per 100,000 Population', 'Annual Number of Cases of Leukemia', 'Age-adjusted Incidence Rate of Leukemia per 100,000 Population', 'Annual Number of Cases of Acute Myeloid Leukemia', 'Age-adjusted Incidence Rate of Acute Myeloid Leukemia per 100,000 Population', 'Annual Number of Cases of Chronic Lymphocytic Leukemia', 'Age-adjusted Incidence Rate of Chronic Lymphocytic Leukemia per 100,000 Population', 'Annual Number of Cases of Lung and Bronchus Cancer', 'Age-adjusted Incidence Rate of Lung and Bronchus Cancer per 100,000 Population', "Annual Number of Cases of Non-Hodgkin's Lymphoma", "Age-adjusted Incidence Rate of Non-Hodgkin's Lymphoma per 100,000 Population", 'Annual Number of Cases of Thyroid Cancer', 'Age-adjusted Incidence Rate of Thyroid Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Bladder Cancer (Including In Situ) per 100,000 Population over a 5-year Period', 'Age-adjusted Incidence Rate of Brain and Other Nervous System Cancer per 100,000 Population over a 5-year Period', 'Age-adjusted Incidence Rate of Leukemia per 100,000 Population over a 5-year Period', 'Age-adjusted Incidence Rate of Lung and Bronchus Cancer per 100,000 Population over a 5-year Period', "Age-adjusted Incidence Rate of Non-Hodgkin's Lymphoma per 100,000 Population over a 5-year Period", 'Age-adjusted Incidence Rate of Thyroid Cancer per 100,000 Population over a 5-year Period', 'Average Annual Number of Cases of Bladder Cancer (Including In Situ) over a 5-year Period', 'Average Annual Number of Cases of Brain and Other Nervous System Cancer over a 5-year Period', 'Average Annual Number of Cases of Leukemia over a 5-year Period', 'Average Annual Number of Cases of Lung and Bronchus Cancer over a 5-year Period', "Average Annual Number of Cases of Non-Hodgkin's Lymphoma over a 5-year Period", 'Average Annual Number of Cases of Thyroid Cancer over a 5-year Period', 'Annual Number of Cases of Breast Cancer', 'Age-adjusted Incidence Rate of Breast Cancer per 100,000 Population', 'Average Annual Number of Cases of Breast Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Breast Cancer per 100,000 Population over a 5-year Period', 'Average Annual Number of Cases of Mesothelioma over a 5-year Period', 'Age-adjusted Incidence Rate of Mesothelioma per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Melanoma of the Skin', 'Average Annual Number of Cases of Melanoma of the Skin over a 5-year Period', 'Age-adjusted Incidence Rate of Melanoma of the Skin per 100,000 Population', 'Age-adjusted Incidence Rate of Melanoma of the Skin per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Kidney and Renal Pelvis Cancer', 'Average Annual Number of Cases of Kidney and Renal Pelvis Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Kidney and Renal Pelvis Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Kidney and Renal Pelvis Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Liver and Intrahepatic Bile Duct Cancer', 'Average Annual Number of Cases of Liver and Intrahepatic Bile Duct Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Liver and Intrahepatic Bile Duct Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Liver and Intrahepatic Bile Duct Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Oral/Pharynx Cancer', 'Average Annual Number of Cases of Oral/Pharynx Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Oral/Pharynx Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Oral/Pharynx Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Esophageal Cancer', 'Average Annual Number of Cases of Esophageal Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Esophageal Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Esophageal Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Pancreas Cancer', 'Average Annual Number of Cases of Pancreas Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Pancreas Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Pancreas Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Larynx Cancer', 'Average Annual Number of Cases of Larynx Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Larynx Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Larynx Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Testicular Cancer', 'Age-adjusted Incidence Rate of Testicular Cancer per 100,000 Population', 'Average Annual Number of Cases of Testicular Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Testicular Cancer per 100,000 Population over a 5-year Period', 'Number of Cases of Lung Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Lung Cancer (20,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Lung Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Lung Cancer per 100,000 Population (20,000 Min. Population Area, 5-year Period)', 'Number of Cases of Breast Cancer (Census Tract, 10-year Period)', 'Number of Cases of Breast Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Breast Cancer (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Breast Cancer per 100,000 Population (Census Tract, 10-year Period)', 'Age-adjusted Rate of Breast Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Breast Cancer per 100,000 Population (20,000 Min. Population Area, 3-year Period)', 'Number of Cases of Prostate Cancer (Census Tract, 10-year Period)', 'Number of Cases of Prostate Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Prostate Cancer (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Prostate Cancer per 100,000 Population (Census Tract, 10-year Period)', 'Age-adjusted Rate of Prostate Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Prostate Cancer per 100,000 Population (20,000 Min. Population Area, 3-year Period)', 'Number of Cases of Colorectal Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Colorectal Cancer (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Colorectal Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Colorectal Cancer per 100,000 Population (20,000 Min. Population Area, 3-year Period)', 'Number of Cases of Melanoma (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Melanoma (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Melanoma per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Melanoma per 100,000 Population (20,000 Min. Population Area, 3-year Period)', "Number of Cases of Non-Hodgkin's Lymphoma (20,000 Min. Population Area, 5-year Period)", "Age-adjusted Rate of Non-Hodgkin's Lymphoma per 100,000 Population (20,000 Min. Population Area, 5-year Period)", 'Annual Number of Cases of Prostate Cancer', 'Age-adjusted Incidence Rate of Prostate Cancer per 100,000 Population', 'Average Annual Number of Cases of Prostate Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Prostate Cancer per 100,000 Population over a 5-year period', 'Annual Number of Cases of Colorectal Cancer', 'Age-adjusted Incidence Rate of Colorectal Cancer per 100,000 Population', 'Average Annual Number of Cases of Colorectal Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Colorectal Cancer per 100,000 Population over a 5-year Period', 'Age-adjusted incidence rate of Melanoma of the Skin per 100,000 population over a 10-year period', 'Crude Prevalence of Cancer among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Cancer among Adults >=18 Years of Age (Model-based; County)', 'Bladder Cancer over a 5-year Period (Value of SIR)', 'Bladder Cancer over a 3-year Period (Value of SIR)', 'Brain and Other Nervous System Cancer over a 5-year Period (Value of SIR)', 'Brain and Other Nervous System Cancer over a 3-year Period (Value of SIR)', 'Breast Cancer (Females Only) over a 5-year Period (Value of SIR)', 'Breast Cancer (Females Only) over a 3-year Period (Value of SIR)', 'Colorectal Cancer over a 5-year Period (Value of SIR)', 'Colorectal Cancer over a 3-year Period (Value of SIR)', 'Esophageal Cancer over a 5-year Period (Value of SIR)', 'Esophageal Cancer over a 3-year Period (Value of SIR)', 'Kidney Cancer over a 5-year Period (Value of SIR)', 'Kidney Cancer over a 3-year Period (Value of SIR)', 'Larynx Cancer over a 5-year Period (Value of SIR)', 'Larynx Cancer over a 3-year Period (Value of SIR)', 'Leukemia over a 5-year Period (Value of SIR)', 'Leukemia over a 3-year Period (Value of SIR)', 'Liver Cancer over a 5-year Period (Value of SIR)', 'Liver Cancer over a 3-year Period (Value of SIR)', 'Lung and Bronchus Cancer over a 5-year Period (Value of SIR)', 'Lung and Bronchus Cancer over a 3-year Period (Value of SIR)', 'Melanoma over a 5-year Period (Value of SIR)', 'Melanoma over a 3-year Period (Value of SIR)', "Non-Hodgkin's Lymphoma over a 5-year Period (Value of SIR)", "Non-Hodgkin's Lymphoma over a 3-year Period (Value of SIR)", 'Oral Cancer over a 5-year Period (Value of SIR)', 'Oral Cancer over a 3-year Period (Value of SIR)', 'Pancreatic Cancer over a 5-year Period (Value of SIR)', 'Pancreatic Cancer over a 3-year Period (Value of SIR)', 'Prostate Cancer over a 5-year Period (Value of SIR)', 'Prostate Cancer over a 3-year Period (Value of SIR)', 'Testicular Cancer (Males Only) over a 5-year Period (Value of SIR)', 'Testicular Cancer (Males Only) over a 3-year Period (Value of SIR)', 'Thyroid Cancer over a 5-year Period (Value of SIR)', 'Thyroid Cancer over a 3-year Period (Value of SIR)', 'SIR of Bladder Cancer over a 5-year Period', 'SIR of Bladder Cancer over a 3-year Period', 'SIR of Brain and Other Nervous System Cancer over a 5-year Period', 'SIR of Brain and Other Nervous System Cancer over a 3-year Period', 'SIR of Breast Cancer (Females Only) over a 5-year Period', 'SIR of Breast Cancer (Females Only) over a 3-year Period', 'SIR of Colorectal Cancer over a 5-year Period', 'SIR of Colorectal Cancer over a 3-year Period', 'SIR of Esophageal Cancer over a 5-year Period', 'SIR of Esophageal Cancer over a 3-year Period', 'SIR of Kidney Cancer over a 5-year Period', 'SIR of Kidney Cancer over a 3-year Period', 'SIR of Larynx Cancer over a 5-year Period', 'SIR of Larynx Cancer over a 3-year Period', 'SIR of Leukemia over a 5-year Period', 'SIR of Leukemia over a 3-year Period', 'SIR of Liver Cancer over a 5-year Period', 'SIR of Liver Cancer over a 3-year Period', 'SIR of Lung and Bronchus Cancer over a 5-year Period', 'SIR of Lung and Bronchus Cancer over a 3-year Period', 'SIR of Melanoma over a 5-year Period', 'SIR of Melanoma over a 3-year Period', "SIR of Non-Hodgkin's Lymphoma over a 5-year Period", "SIR of Non-Hodgkin's Lymphoma over a 3-year Period", 'SIR of Oral Cancer over a 5-year Period', 'SIR of Oral Cancer over a 3-year Period', 'SIR of Pancreatic Cancer over a 5-year Period', 'SIR of Pancreatic Cancer over a 3-year Period', 'SIR of Prostate Cancer over a 5-year Period', 'SIR of Prostate Cancer over a 3-year Period', 'SIR of Testicular Cancer (Males Only) over a 5-year Period', 'SIR of Testicular Cancer (Males Only) over a 3-year Period', 'SIR of Thyroid Cancer over a 5-year Period', 'SIR of Thyroid Cancer over a 3-year Period', 'Annual Number of Cases of Cervical Cancer', 'Age-adjusted Incidence Rate of Cervical Cancer per 100,000 Population', 'Average Annual Number of Cases of Cervical Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Cervical Cancer per 100,000 Population over a 5-year Period', 'Cervical Cancer over a 5-year Period (Value of SIR)', 'Cervical Cancer over a 3-year Period (Value of SIR)', 'SIR of Cervical Cancer over a 5-year Period (Category of SIR)', 'SIR of Cervical Cancer over a 3-year Period (Category of SIR)', 'Age-adjusted Incidence Rate of Total Cancers per 100,000 Population', 'Annual Number of Cases of Brain and Central Nervous System Cancer among Children <20 Years of Age', 'Annual Number of Cases of Brain and Central Nervous System Cancer among Children <15 Years of Age', 'Annual Number of Leukemia among Children <20 Years of Age', 'Annual Number of Leukemia among Children <15 Years of Age', 'Annual Number of Acute Myeloid Leukemia among Children <20 Years of Age', 'Annual Number of Acute Myeloid Leukemia among Children <15 Years of Age', 'Annual Number of Cases of Acute Lymphocytic Leukemia among Children <20 Years of Age', 'Annual Number of Cases of Acute Lymphocytic Leukemia among Children <15 Years of Age', 'Percent of Children Tested', 'Percent of Children Tested With Confirmed Blood Lead Levels of 5 µg/dL or Greater', 'Annual Number of Hospitalizations for COPD among People >=25 Years of Age', 'Crude Rate of Hospitalizations for COPD among People >=25 Years of Age per 10,000 Population', 'Age-adjusted Rate of Hospitalizations for COPD among People >=25 Years of Age per 10,000 Population', 'Annual Number of Emergency Department Visits for COPD among People >=25 Years of Age', 'Crude Rate of Emergency Department Visits Among People >=25 Years of Age for COPD per 10,000 Population', 'Age-adjusted Rate of Emergency Department Visits People >=25 Years of Age for COPD per 10,000 Population', 'Annual Number of Deaths from COPD among People >=25 Years of Age (Through 2020)', 'Crude Death Rate from COPD among People >=25 Years of Age per 100,000 Population (Through 2020)', 'Age-adjusted Death Rate from COPD among People >=25 Years of Age per 100,000 Population (Through 2020)', 'Crude Prevalence of COPD among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of COPD among Adults >=18 Years of Age (Model-based; County)', 'Annual Number of Deaths from COPD among People >=25 Years of Age (2018 Onward)', 'Crude Death Rate from COPD among People >=25 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Death Rate from COPD among People >=25 Years of Age per 100,000 Population (2018 Onward)', 'Number of People by Demographic Group', 'Annual Number of People Living in Poverty', 'Percent of Population Living in Poverty', 'Annual Median Household Income', 'Number of People >=25 Years of Age with High School Diploma (or Equivalent) or Higher', 'Percent of Population >=25 Years of Age with High School Diploma (or Equivalent) or Higher', 'Number of Single-parent Households', 'Percent of Single-parent Households', 'Number of People >=5 Years of Age That Speak English Less Than "Very Well"', 'Percent of Population >=5 Years of Age That Speak English Less Than "Very Well"', 'Number of People >=65 Years of Age Living Alone in a Non-family Household', 'Number of People >=16 Years of Age who are Unemployed', 'Percent of Population >=16 Years of Age who are Unemployed', 'Percent of Population by Demographic Group', 'Life Expectancy at Birth', 'Life Expectancy at Any Given Age Group', 'Annual Number of Employees in Food Manufacturing Industry', 'Annual Number of Supplemental Security Income (SSI) Recipients', 'Annual Number of Old Age, Survivors, and Disability Insurance (OASDI) Beneficiaries', 'Average Annual Energy Burden (% Income)', 'Average Annual Energy Cost', 'Air Domain Index', 'Built Domain Environment Index', 'Land Domain Index', 'Water Domain Index', 'Sociodemographic Domain Index', 'Overall Environmental Quality Index', 'Total Medicare Beneficiaries Relying on Electricity-dependent Medical Equipment and Devices', 'Total Medicare Beneficiaries, Overall', 'Percent of Households with Income below the Federal Poverty Level', 'Number of Households with Income below the Federal Poverty Level', 'Percent of Population with Income at or below 200% of the Federal Poverty Level', 'Number of Population with Income at or below 200% of the Federal Poverty Level', 'Social Resilience Score', 'Economic Resilience Score', 'Housing/Infrastructural Resilience Score', 'Institutional Resilience Score', 'Community Capital Resilience Score', 'Environmental Resilience Score', 'Overall BRIC Score', 'National Risk Index National Percentile (Score)', 'National Risk Index National Rating', 'National Risk Index State Percentile', 'Expected Annual Loss National Percentile (Score)', 'Expected Annual Loss National Rating', 'Expected Annual Loss U.S. Dollar Value', 'Expected Annual Loss State Percentile', 'Estimated Prevalence of ASDs per 1,000 Children 8 Years Old', 'Annual Number of Children 3-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 3-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of Children 3-5 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 3-5 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of Children 6-11 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 6-11 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of Children 12-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 12-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of People Receiving Water from Community Water Systems (CWS)', 'CWS with Exceedances of PFAS Chemicals (PFOA+PFOS)', 'CWS with Detections of PFAS Chemicals (PFOS, PFOA, PFNA, PFBS, PFHxS, PFHpA)', 'CWS that Sampled for PFAS Chemicals', 'Annual Mean Concentration of Arsenic (µg/L)', 'Annual Mean Concentration of Nitrate (mg/L)', 'Annual Mean Concentration of Total Trihalomethane (µg/L)', 'Annual Mean Concentration of Haloacetic Acids (µg/L)', 'Annual Mean Concentration of Atrazine (µg/L)', 'Annual Mean Concentration of DEHP (µg/L)', 'Annual Mean Concentration of PCE (µg/L)', 'Annual Mean Concentration of TCE (µg/L)', 'Annual Mean Concentration of Radium (pCi/L)', 'Annual Mean Concentration of Uranium (µg/L)', 'Annual Number of Community Water Systems (CWS)', 'CWS with Detections of Perchlorate', 'Annual Percent of CWS by Mean Arsenic Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Arsenic Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Arsenic Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Arsenic Concentrations (µg/L)', 'Annual Percent of CWS by Mean Nitrate Concentrations (mg/L)', 'Annual Percent of People Served by CWS by Mean Nitrate Concentrations (mg/L)', 'Annual Percent of CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of People Served by CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of People Served by CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of CWS by Mean Atrazine Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Atrazine Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Atrazine Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Atrazine Concentrations (µg/L)', 'Annual Percent of CWS by Mean DEHP Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean DEHP Concentrations (µg/L)', 'Annual Percent of CWS by Maximum DEHP Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum DEHP Concentrations (µg/L)', 'Annual Percent of CWS by Mean PCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean PCE Concentrations (µg/L)', 'Annual Percent of CWS by Maximum PCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum PCE Concentrations (µg/L)', 'Annual Percent of CWS by Mean TCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean TCE Concentrations (µg/L)', 'Annual Percent of Community Water Systems CWS by Maximum TCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum TCE Concentrations (µg/L)', 'Annual Percent of CWS by Mean Radium Concentrations (pCi/L)', 'Annual Percent of People Served by CWS by Mean Radium Concentrations (pCi/L)', 'Annual Percent of CWS by Maximum Radium Concentrations (pCi/L)', 'Annual Percent of People Served by CWS by Maximum Radium Concentrations (pCi/L)', 'Annual Percent of CWS by Mean Uranium Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Uranium Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Uranium Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Uranium Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Nitrate Concentrations (mg/L)', 'Quarterly Percent of CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Quarterly Percent of CWS by Mean Atrazine Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Atrazine Concentrations (µg/L)', 'Quarterly Percent of CWS by Mean Nitrate Concentrations (mg/L)', 'Quarterly Percent of CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Total Number of Weeks a County Was in Drought (1980-present; SPEI)', 'Percent of Weeks a County Was in Drought (1980-present; SPEI)', 'Total Number of Weeks a County Was in Drought by Year (SPEI)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (SPEI)', 'Percent of Weeks a County Was in Drought by Year (SPEI)', 'Counties Currently Experiencing Drought (SPEI)', 'Total Number of Weeks a County Was in Drought (2000-present; USDM)', 'Percent of Weeks a County Was in Drought (2000-present; USDM)', 'Total Number of Weeks a County Was in Drought by Year (USDM)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (USDM)', 'Percent of Weeks a County Was in Drought by Year (USDM)', 'Counties Currently Experiencing Drought (USDM)', 'Annual Number of People without Health Insurance', 'Percent of Population without Health Insurance', 'Number of People >=5 Years of Age with a Disability', 'Percent of Population >=5 Years of Age with a Disability', 'Crude Prevalence of Mental Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of All Teeth Lost among Adults >=65 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Current Lack of Health Insurance among Adults >=18 to =64 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Visits to Doctor for Routine Checkup Within the Past Year among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Visits to the Dentist or Dental Clinic among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Mammography Use among Women Aged >=50 to =74 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Cervical Cancer Screening among Adult Women >=21 to =65 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Colorectal Cancer Screening among Adults >=50 to =75 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Older Men >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County/Census Tract)', 'Crude Prevalence of Older Women >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County/Census Tract)', 'Crude Prevalence of Arthritis among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Diagnosed Diabetes among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of High Blood Pressure among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Physical Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (Model-based; County/Census Tract)', 'Crude Prevalence of Chronic Kidney Disease among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Taking Medicine for High Blood Pressure Control among Adults >=18 Years of Age with High Blood Pressure (Model-based; County/Census Tract)', 'Crude Prevalence of Cholesterol Screening among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Mental Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of All Teeth Lost among Adults >=65 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Current Lack of Health Insurance among Adults >=18 to =64 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Visits to Doctor for Routine Checkup Within the Past Year among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Visits to the Dentist or Dental Clinic among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Mammography Use among Women Aged >=50 to =74 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Cervical Cancer Screening among Adult Women >=21 to =65 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Colorectal Cancer Screening among Adults >=50 to =75 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Older Men >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County)', 'Age-adjusted Prevalence of Older Women >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County)', 'Age-adjusted Prevalence of Arthritis among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Diagnosed Diabetes among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of High Blood Pressure among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Physcial Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (Model-based; County)', 'Age-adjusted Prevalence of Chronic Kidney Disease among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Taking Medicine for High Blood Pressure Control among Adults >=18 Years of Age with High Blood Pressure (Model-based; County)', 'Age-adjusted Prevalence of Cholesterol Screening among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Depression Among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Depression Among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Fair or Poor Self-rated Health Status Among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Fair or Poor Self-rated Health Status Among Adults >=18 Years of Age (Model-based, County)', 'Annual Number of People without Health Insurance (0 to 18 Years of Age Only)', 'Percent of People without Health insurance (0 to 18 Years of Age Only)', 'Crude Prevalence of Hearing Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Hearing Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Vision Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Vision Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Cognitive Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Cognitive Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Mobility Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Mobility Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Self-care Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Self-care Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Independent Living Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Independent Living Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Any Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Any Disability among Adults >=18 Years of Age (Model-based; County)', 'Annual Number of Hospitalizations for Heart Attack among People >=35 Years of Age', 'Crude Rate of Hospitalizations for Heart Attack among People >=35 Years of Age per 10,000 Population', 'Age-adjusted Rate of Hospitalizations for Heart Attack among People >=35 Years of Age per 10,000 Population', 'Annual Number of Deaths from Ischemic Heart Disease among People >=35 Years of Age (Through 2020)', 'Crude Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Age-adjusted Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Annual Number of Deaths from Heart Attack among People >=35 Years of Age (Through 2020)', 'Crude Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Age-adjusted Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Number of Hospitalizations for Heart Attack among Persons >=35 Years of Age (Census Tract, 5-year Period)', 'Number of Hospitalizations for Heart Attack among Persons >=35 Years of Age (5,000 Min. Population Area, 3-year Period)', 'Number of Hospitalizations for Heart Attack among Persons >=35 Years of Age (20,000 Min. Population Area, 1-year Period)', 'Crude Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (Census Tract, 5-year Period)', 'Crude Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (5,000 Min. Population Area, 3-year Period)', 'Crude Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (20,000 Min. Population Area, 1-year Period)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (Census Tract, 5-year Period)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (5,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (20,000 Min. Population Area, 1-year Period)', 'Air Medical Transport to Most Appropriate Stroke Facility', 'EMS Provider Stroke Continuing Education', 'EMS Stroke Pre-notification of Receiving Facility', 'EMS Triage and Ground Transport to Most Appropriate Stroke Facility', 'EMSS Stroke Continuous Quality Improvement', 'Inter-facility Transfer to Most Appropriate Stroke Facility', 'Standardized EMS Stroke Assessment Tool', 'Nationally Certified Primary Stroke Centers', 'Nationally Certified Comprehensive Stroke Centers', 'Nationally Certified Acute Stroke-ready Hospitals', 'State Standards for Primary Stroke Centers', 'State Standards for Comprehensive Stroke Centers', 'State Standards for Acute Stroke-ready Hospitals', 'Telemedicine to Initiate Treatment On-site', 'State-level Continuous Quality Improvement Registry', 'State Agency Authorized to Designate Stroke Centers', 'State Agency Rule-making Authority', 'Stroke Center Tiered Approach', 'Stroke Systems of Care Task Force', 'Crude Prevalence of Stroke among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Coronary Heart Disease among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Stroke among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Coronary Heart Disease among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Adults >=18 Years of Age Ever Diagnosed with Stroke (State)', 'Age-adjusted Prevalence of Adults >=18 Years of Age Ever Diagnosed with Stroke (State)', 'Average Annual Age-adjusted Death Rate from Stroke per 100,000 Population Among Persons >=35 Years of Age', 'Average Annual Age-adjusted Hospitalization Rate for Stroke per 1,000 Medicare Beneficiaries >=65 Years of Age', 'Age-adjusted Prevalence of High Blood Pressure among Adults >=18 Years of Age (State)', 'Crude Prevalence of High Blood Pressure among Adults >=18 Years of Age (State)', 'Age-adjusted Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (State)', 'Crude Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (State)', 'Age-Adjusted Prevalence of Current Smoking Among Adults >=18 Years Of Age (State)', 'Crude Prevalence of Current Smoking Among Adults >=18 Years of Age (State)', 'Crude Prevalence of Taking Medicine for High Blood Pressure Control among Adults >=18 Years of Age with High Blood Pressure (State)', 'Age-adjusted Prevalence of Cholesterol Screening among Adults >=18 Years of Age (State)', 'Prevalence of Blood Pressure Medication Non-Adherence among >=65 Years of Age', 'Prevalence of Cholesterol Medication Non-Adherence among >=65 Years of Age', 'Annual Number of Deaths from Ischemic Heart Disease Among People >= 35 Years (2018 Onward)', 'Crude Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Annual Number of Deaths from Heart Attack among People >=35 Years of Age (2018 Onward)', 'Crude Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among People >=35 Years of Age per 10,000 Population', 'Annual Number of People Living in Poverty', 'Percent of Population Living in Poverty', 'Annual Median Household Income', 'Daily Maximum Temperature from May to September', 'Daily Maximum Heat Index from May to September', 'Rate of Hospitalization for Heart Disease Among Medicare Beneficiaries >=65 Years of Age', 'Percent of Population of a Race Other Than White', 'Percent of Population >=65 Years of Age Living Alone in a Non-family Household', 'Annual Number of Heat-related Deaths', 'Annual Number of Extreme Heat Days from May to September', 'Annual Number of Extreme Heat Events from May to September', 'Annual Number of Hospitalizations for HRI', 'Crude Rate of Hospitalizations for HRI per 100,000 Population', 'Age-adjusted Rate of Hospitalizations for HRI per 100,000 Population', 'Annual Number of Emergency Department Visits for HRI', 'Crude Rate of Emergency Department Visits for HRI per 100,000 population', 'Age-adjusted Rate of Emergency Department Visits for HRI per 100,000 population', 'Historical Mean Daily Max. Temperature by day of year for Summer Months (May-September)', 'Historical Mean Daily Max. Heat Index by day of year for Summer Months (May-September)', 'Monthly Projected Average Heat Wave Intensity', 'Monthly Projected Maximum Temperature during a Heat Wave', 'Monthly Projected Maximum Minimum (Nightly) Temperature during a Heat Wave', 'Monthly Projected Average Heat Wave Count', 'Monthly Projected Average Heat Wave Duration', 'Climate Prediction Center (CPC) Monthly Temperature Forecast Category', 'Monthly Projected Number of Heat Exceedance Days', 'Weekly Average Maximum Temperature', 'Number of Heat-related Deaths over a 5-year Period', 'Daily Maximum Temperature', 'Weekly Rates of HRI-associated ED Visits per 100,000 Population (non-VA)', 'Daily Rates of HRI-associated ED Visits per 100,000 Population (non-VA)', 'Annual Rate of Non-fatal Worker Heat-Related Illness with days away from work by year per 10,000 full-time workers', 'Annual Worker Heat-Related Illness Cases', 'Annual Median Days of Work Lost Due to Heat-Related Illness', 'Annual Worker Days Lost Due to Heat-Related Illness', 'Annual Number of Extreme Heat Days (Full Year)', 'Annual Number of Extreme Heat Events (Full Year)', 'HeatRisk Forecast', 'Projected\xa0Difference in Extreme Heat Days as Compared to the Historical Period', 'Projected\xa0Difference in Extreme Heat Nights as Compared to the Historical Period', 'Projected Change in Average Summer Temperature as Compared to the Historical Period', 'Historical Heat & Health Burden Percentile Rank', 'Sensitivity Percentile Rank', 'Sociodemographic Percentile Rank', 'Natural & Built Environment Percentile Rank', 'Overall Heat & Health Index Rank', 'HeatRisk Historical', 'Free Thyroxine (FT4) Concentrations in Serum (ng/dL)', 'Total Thyroxine (TT4) Concentrations in Serum (µg/mL)', 'Free Triiodothyronine (FT3) Concentrations in Serum (pg/mL)', 'Total Triiodothyronine (TT3) Concentrations in Serum (ng/dL)', 'Thyroid Stimulating Hormone (TSH) Concentrations in Serum (uIU/mL)', 'Iodine Concentrations in Urine', 'Crude Prevalence of Binge Drinking among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Current Smoking among Adults >=18 years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of No Leisure-time Physical Activity among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Obesity among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Sleeping Less Than 7 Hours among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Binge Drinking among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Current Smoking among Adults >=18 years of Age (Model-based; County)', 'Age-adjusted Prevalence of No Leisure-time Physical Activity among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Obesity among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Sleeping Less Than 7 Hours among Adults >=18 Years of Age (Model-based; County)', "Annual Number of Exposures to All Pesticides Reported to America's Poison Centers (APC)", 'Rate of Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Exposures to Disinfectants Reported to APC', 'Rate of Exposure to Disinfectants Reported to APC per 100,000 people', 'Annual Number of Exposures to Fumigants Reported to APC', 'Rate of Exposure to Fumigants Reported to APC per 100,000 people', 'Annual Number of Exposures to Fungicides Reported to APC', 'Rate of Exposure to Fungicides Reported to APC per 100,000 people', 'Annual Number of Exposures to Herbicides Reported to APC', 'Rate of Exposure to Herbicides Reported to APC per 100,000 people', 'Annual Number of Exposures to Insecticides Reported to APC', 'Rate of Exposure to Insecticides Reported to APC per 100,000 people', 'Annual Number of Exposures to Repellants Reported to APC', 'Rate of Exposure to Repellants Reported to APC per 100,000 people', 'Annual Number of Exposures to Rodenticides Reported to APC', 'Rate of Exposure to Rodenticides Reported to APC per 100,000 people', "Annual Number of Deaths from Exposures to All Pesticides Reported to America's Poison Centers (APC)", 'Annual Number of Major Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Annual Number of Moderate Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of Moderate Effect Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Minor Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of Minor Effect Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of No Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of No Effect Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Unable to Follow-Potentially Toxic Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of Unable to Follow-Potentially Toxic Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Extreme Precipitation Days', 'Monthly Average of Daily Total Precipitation', 'Number of Square Miles within FEMA Designated Flood Hazard Area', 'Percent Area (Square Miles) within FEMA Designated Flood Hazard Area', 'Number of People within FEMA Designated Flood Hazard Area', 'Number of Housing Units within FEMA Designated Flood Hazard Area', 'Number of Square Miles within EPA Designated Flood Hazard Area', 'Percent Area (Square Miles) within EPA Designated Flood Hazard Area', 'Projected Difference in Extreme Precipitation Days as Compared to the Historical Period', 'Projected Difference in Maximum Precipitation During an Extreme Event as Compared to the Historical Period', 'State Orders Closing and Reopening Businesses Issued through November 30, by County, by Day', 'U.S. State and Territorial Public Mask Mandates from April 10, 2020 through January 10, 2021, by County, by Day', 'State- and County-issued Stay-at-home Orders', 'Authority to Provide Care Services', 'Authority to Provide Tobacco Cessation', 'Authority to Provide HIV Pre/Post-exposure Prophylaxis', 'Authority to Participate in Drug Therapy Management', 'Authority to Manage Diseases or Conditions', 'Authority to Provide Vaccines', 'Authority to Provide Point of Care Testing/Screening', 'Authority to Initiate Treatment following Point of Care Testing/Screening', 'Policy Defines CHW Scope of Practice', 'Authority to Support Chronic Disease Care Services', 'CHWs Included in Managed or Team-based Care Models', 'Decision-making Entity to Establish CHW Program', 'Supervision by Other Health Care Professionals', 'Authorizes Certification Process', 'Creation of Standardized Curriculum', 'CHWs Included in Certification Development Process', 'Payment or Reimbursement for Services', 'Grants or Incentives for CHW Workforce', 'Raise Awareness of CHWs within the Healthcare Profession', 'Annual Number of Buildings Tested', 'Annual Number of Pre-mitigation Radon Tests by Radon Level', 'Annual Number of Post-mitigation Radon Tests by Radon Level', 'Percent of Pre-mitigation Radon Tests by Radon Level', 'Percent of Post-mitigation Radon Tests by Radon Level', 'Annual Median Pre-mitigation Radon Level in Tested Buildings', 'Annual Maximum Pre-mitigation Radon Level in Tested Buildings', 'Annual Number of Buildings Tested', 'Number of Buildings Tested over a 10-year Period', 'Rate of Housing Units Tested per 10,000 Units', 'Number of Pre-mitigation Radon Tests by Radon Level over a 10-year Period', 'Number of Post-mitigation Radon Tests by Radon Level over a 10-year Period', 'Percent of Pre-mitigation Radon Tests by Radon Level over a 10-year Period', 'Percent of Post-mitigation Radon Tests by Radon Level over a 10-year Period', 'Median Pre-mitigation Radon Level in Tested Buildings over a 10-year Period', 'Maximum Pre-mitigation Radon Level in Tested Buildings over a 10-year Period', 'Mean Pre-mitigation Radon Level in Tested Buildings over a 10-year Period', 'Annual Mean Pre-Mitigation Radon Measurement in Tested Buildings', 'Annual Number of Preterm (<37 Weeks Gestation) Live Singleton Births', 'Percent of Preterm (<37 Weeks Gestation) Live Singleton Births', 'Annual Number of Low Birthweight (<2,500 g) Live Singleton Births', 'Percent of Low Birthweight (<2,500 g) Live Singleton Births', 'Total Fertility Rate per 1,000 Women', 'Male to Female Sex Ratio at Birth Multiplied by 1,000', 'Average Annual Number of Very Preterm (<32 Weeks Gestation) Live Singleton Births over a 5-year Period', 'Percent of Very Preterm (<32 Weeks Gestation) Live Singleton Births over a 5-year Period', 'Average Annual Number of Very Low Birthweight (<1,500 g) Live Singleton Births over a 5-year Period', 'Percent of Very Low Birthweight (<1,500 g) Live Singleton Births over a 5-year Period', 'Average Annual Number of Infant (<1 Year of Age) Deaths over a 5-year Period', 'Infant (<1 Year of Age) Mortality Rate per 1,000 Live Births over a 5-year Period', 'Average Annual Neonatal (<28 Days of Age) Deaths over a 5-year Period', 'Neonatal (<28 Days of Age) Mortality Rate per 1,000 Live Births over a 5-year Period', 'Average Annual Number of Postneonatal (>=28 Days to <1 Year of Age) Deaths over a 5-year Period', 'Postneonatal (>=28 Days to <1 Year of Age) Mortality Rate per 1,000 Live Births over a 5-year Period', 'Annual Average Number of Perinatal (>=28 Weeks Gestation to <7 Days of Age) Deaths over a 5-year Period', 'Perinatal (>=28 Weeks Gestation to <7 Days of Age) Mortality Rate per 1,000 Live Births and Fetal Deaths over a 5-year Period', 'Annual Number of Preterm (<37 Weeks Gestation) Live Singleton Births (2018 Onward)', 'Percent of Preterm (<37 Weeks Gestation) Live Singleton Births (2018 Onward)', 'Annual Number of Low Birthweight (<2,500 g) Live Singleton Births (2018 Onward)', 'Percent of Low Birthweight (<2,500 g) Live Singleton Births (2018 Onward)', 'Total Fertility Rate per 1,000 Women (2018 Onward)', 'Male to Female Sex Ratio at Birth Multiplied by 1,000 (2018 Onward)', 'Annual Average Sunlight Exposure Measured by Solar Irradiance (kJ/m2)', 'Monthly Average Sunlight Exposure Measured by Solar Irradiance (kJ/m2)', 'Annual Average Daily Dose of UV Irradiance (J/m2)', 'Monthly Average Daily Dose of UV Irradiance (J/m2)', 'Annual Average UV Irradiance at Noon (mW/m2)', 'Monthly Average UV Irradiance at Noon (mW/m2)', 'Indoor Tanning Restrictions for Minors', 'Laws Allowing Students to Carry and Self-apply Sunscreen in Schools', 'Total Tornado-related Injuries & Fatalities (1986-present)', 'Annual Number of Tornadoes', 'Average Annual Number of Tornados (1986-present)', 'Total Number of Tornadoes (1986-Present)', 'Annual Number of Reported Acute Toxic Substance Release Incidents', 'Percent of Reported Acute Toxic Substance Release Incidents with at Least One Injury or Fatality', 'Percent of Reported Acute Toxic Substance Release Incidents with Evacuation Ordered', 'Rate of Injuries and Fatalities due to Reported Acute Toxic Substance Release Incidents per 100,000 Population', 'Rate of Reported Acute Toxic Substance Release Incidents per 100,000 Population', 'Number of Workers >16 Years of Age that Used Public Transportation (excluding Taxicabs)', 'Percent of Workers >16 Years of Age that Used Public Transportation (excluding Taxicabs)', 'Number of Workers >16 Years of Age', 'Number of Workers >16 Years of Age That Used Active Transportation', 'Percent of Workers >16 Years of Age That Used Active Transportation', 'Number of Workers >16 Years of Age That Used Car, Truck, Van', 'Percent of Workers >16 Years of Age That Used Car, Truck, Van', 'Number of Workers >16 Years of Age That Worked at Home', 'Percent of Workers >16 Years of Age That Worked at Home', 'Average One-way Commute Time (Minutes) for Workers >=16 Years of Age for All Travel Modes', 'Number of Workers >=16 Years of Age Driving >20 Minutes to Work (Car, Truck, Van)', 'Percent of Workers >=16 Years of Age Driving >20 Minutes to Work (Car, Truck, Van)', 'Number of Workers >=16 Years of Age Taking Public Transportation >45 Minutes to Work', 'Percent of Workers >=16 Years of Age Taking Public Transportation >45 Minutes to Work', 'Number of Workers >=16 Years of Age Walking >10 Minutes to Work', 'Percent of Workers >=16 Years of Age Walking >10 Minutes to Work', 'Number of Fatal Motor Vehicle Crashes over a 5-year Period', 'Rate of Fatal Motor Vehicle Crashes per 100,000 Population over a 5-year Period', 'Percent of Fatal Motor Vehicle Crashes Involving Cyclists or Pedestrians over a 5-year Period', 'Location of All Fatal Motor Vehicle Crashes over a 5-year Period', 'Location of Fatal Motor Vehicle Crashes by Crash Type over a 5-year Period', 'Vehicle Miles Traveled (Major Roadways)', 'Number of Motor Vehicle-Related Fatalities (all)', 'Annual Number of Hospitalizations for CO Poisoning', 'Crude Rate of Hospitalizations for CO Poisoning per 100,000 Population', 'Age-adjusted Rate of Hospitalizations for CO Poisoning per 100,000 Population', 'Annual Number of Emergency Department Visits for CO Poisoning', 'Crude Rate of Emergency Department Visits for CO Poisoning per 100,000 Population', 'Age-adjusted Rate of Emergency Department Visits for CO Poisoning per 100,000 Population', 'Average Annual Number of Deaths from CO Poisoning over a 5-year Period', 'Crude Death Rate from CO Poisoning per 100,000 Population over a 5-year Period', 'Age-adjusted Death Rate from CO Poisoning per 100,000 Population over a 5-year Period']
['PM2.5: Percent of Days over Air Quality Standard (Monitor Only)', 'PM2.5: Highest Annual Average Concentration (Monitor Data)', 'O3: Number of Days over Air Quality Standard (Monitor + Modeled Data)', 'PM2.5: Percent of Days over Air Quality Standard (Monitor + Modeled Data)', 'PM2.5: Highest Annual Average Concentration (Monitor + Modeled Data)', 'Annual Average Cancer Risk Estimates per 1,000,000 Population', 'Annual Average Air Concentration Estimates of Selected Pollutant (µg/m3)', 'Percent of Cancer Risk Estimates by Source', 'Percent of Cancer Risk Estimates from All Sources', 'Areas and Populations Vulnerable to Predicted Surface Smoke from Wildland Fires', 'Annual Average Total Cancer Risk Estimates', 'Annual Number of Hospitalizations for Asthma', 'Crude Rate of Hospitalizations for Asthma per 10,000 Population', 'Age-adjusted Rate of Hospitalizations for Asthma per 10,000 Population', 'Annual Number of Emergency Department Visits for Asthma', 'Crude Rate of Emergency Department Visits for Asthma per 10,000 Population', 'Age-adjusted Rate of Emergency Department Visits for Asthma per 10,000 Population', 'Crude Prevalence of Adults >=18 Years of Age Ever Diagnosed with Asthma (State)', 'Crude Prevalence of Adults >=18 Years of Age Ever Diagnosed with Asthma Who Report They Currently Have Asthma (State)', 'Crude Prevalence of Children <=17 Years of Age Ever Diagnosed with Asthma (State)', 'Crude Prevalence of Children <=17 Years of Age Ever Diagnosed with Asthma Who Report They Currently Have Asthma (State)', 'Number of Emergency Department Visits for Asthma (Census Tract, 5-year Period)', 'Number of Emergency Department Visits for Asthma (5,000 Min. Population Area, 3-year Period)', 'Number of Emergency Department Visits for Asthma (20,000 Min. Population Area, 1-year Period)', 'Crude Rate of Emergency Department Visits for Asthma per 10,000 Population (Census Tract, 5-year Period)', 'Crude Rate of Emergency Department Visits for Asthma per 10,000 Population (5,000 Min. Population Area, 3-year Period)', 'Crude Rate of Emergency Department Visits for Asthma per 10,000 Population (20,000 Min. Population Area, 1-year Period)', 'Age-adjusted Rate of Emergency Department Visits for Asthma per 10,000 Population (Census Tract, 5-year Period)', 'Age-adjusted Rate of Emergency Department Visits for Asthma per 10,000 Population (5,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Emergency Department Visits for Asthma per 10,000 Population (20,000 Min. Population Area, 1-year Period)', 'Crude Prevalence of Current Asthma among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Current Asthma among Adults >=18 Years of Age (Model-based; County)', 'Metals and Metalloids in Urine (1999-2014)', 'Metals and Metalloids in Urine (2015-2016)', 'Metals in Blood', 'Perfluoroalkyl and Polyfluoroalkyl Substances: Surfactants in Blood', 'Personal Care and Consumer Products Metabolites in Urine', 'Pesticide Metabolites: Organophosphorus Metabolites in Urine', 'Pesticide Metabolites: Pyrethroid Metabolites in Urine', 'Polycyclic Aromatic Hydrocarbons in Urine', 'Phthalate Metabolites in Urine', 'Disinfection By-products in Blood (2001-2004)', 'Disinfection By-products in Blood (2005-2010)', 'Disinfection By-products in Blood (2011-2014)', 'Volatile Organic Compounds in Blood (2001-2004)', 'Volatile Organic Compounds in Blood (2005-2010)', 'Volatile Organic Compounds in Blood (2011-2014)', 'Tobacco Metabolite in Blood', 'Metals and Metalloids in Urine 1999-2014 (Creatinine Corrected)', 'Metals and Metalloids in Urine 2015-2016 (Creatinine Corrected)', 'Lead in Blood', 'Personal Care and Consumer Products Metabolites in Urine (Creatinine Corrected)', 'Pesticide Metabolites: Organophosphorus Metabolites in Urine (Creatinine Corrected)', 'Pesticide Metabolites: Pyrethroid Metabolites in Urine (Creatinine Corrected)', 'Polycyclic Aromatic Hydrocarbons in Urine (Creatinine Corrected)', 'Phthalate Metabolites in Urine (Creatinine Corrected)', 'Tobacco Metabolite in Blood (in Smokers)', 'Pesticide Metabolites: Herbicide Metabolites in Urine', 'Pesticide Metabolites: Herbicide Metabolites in Urine (Creatinine Corrected)', 'Volatile Organic Compound Metabolites in Urine 2011-2016', 'Volatile Organic Compound Metabolites in Urine 2011-2016 (Creatinine Corrected)', 'Average Annual Number of Cases of Anencephaly among Live Births over a 5-year Period', 'Prevalence of Anencephaly per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Spina Bifida w/out Anencephaly among Live Births over a 5-year Period', 'Prevalence of Spina Bifida (without Anencephaly) per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Hypoplastic Left Heart Syndrome among Live Births over a 5-year Period', 'Prevalence of Hypoplastic Left Heart Syndrome per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Tetralogy of Fallot among Live Births over a 5-year Period', 'Prevalence of Tetralogy of Fallot per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Transposition of the Great Arteries (Vessels) among Live Births over a 5-year Period', 'Prevalence of Transposition of the Great Arteries (Vessels) per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Cleft Palate without Cleft Lip among Live Births over a 5-year Period', 'Prevalence of Cleft Palate without Cleft Lip per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Hypospadias among Live Male Births over a 5-year Period', 'Prevalence of Hypospadias per 10,000 Live Male Births over a 5-year Period', 'Average Annual Number of Cases of Gastroschisis among Live Births over a 5-year Period', 'Prevalence of Gastroschisis per 10,000 Live Births over a 5-year Period', 'Average Annual Number of Cases of Trisomy 21 to Mothers <35 Years of Age at Delivery over a 5-year Period', 'Prevalence of Trisomy 21 per 10,000 Live Births to Mothers <35 Years of Age at Delivery over a 5-year Period', 'Average Annual Number of Cases of Trisomy 21 to Mothers >=35 Years of Age at Delivery over a 5-year Period', 'Prevalence of Trisomy 21 per 10,000 Live Births to Mothers >=35 Years of Age at Delivery over a 5-year Period', 'Average Annual Number of Cases of Cleft Lip with Cleft Palate among Live Births over a 5-year Period', 'Average Annual Number of Cases of Cleft Lip without Cleft Palate among Live Births over a 5-year Period', 'Average Annual Number of Cases of Limb Deficiencies Combined among Live Births over a 5-year Period', 'Prevalence of Cleft Lip with Cleft Palate per 10,000 Live Births over a 5-year Period', 'Prevalence of Cleft Lip without Cleft Palate per 10,000 Live Births over a 5-year Period', 'Prevalence of Limb Deficiencies Combined per 10,000 Live Births over a 5-year Period', 'Percent of Land Covered by Forest', 'Percent of Land Used for Development', 'Percent of Land Used for Agriculture', 'Number of Housing Units', 'Number of Housing Units with >=10 Units', 'Number of Housing Units with More People than Rooms', 'Number of Vacant Housing Units', 'Number of Renter-occupied Housing Units', 'Number of Mobile-home Housing Units', 'Number of Housing Units with No Vehicle Available', 'Number of People Living in Group Quarters', 'Percent of Land Covered by Water', 'Percent of Housing Units with >=10 Units', 'Percent of Housing Units with More People than Rooms', 'Percent of Vacant Housing Units', 'Percent of Renter-occupied Housing Units', 'Percent of Mobile-home Housing Units', 'Percent of Housing Units with No Vehicle Available', 'Percent Population Living in Group Quarters', 'Classification of County from Rural to Urban (Two Category Scale)', 'Classification of County from Rural to Urban (Six Category Scale)', 'Average Percent of Developed Imperviousness', 'Number of People with Access to a Computer with Internet but No Cell Phone', 'Percent of People with Access to a Computer with Internet but No Cell Phone', 'Number of Households with a Smartphone', 'Percent of Households with a Smartphone', 'Number of Households with a Smartphone but No Other Device', 'Percent of Households with a Smartphone but No Other Device', 'Number of Households with No Internet Access', 'Percent of Households with No Internet Access', 'Number of Unemployed People >16 Years of Age Who Have a Computer without Internet Subscription', 'Percent of Unemployed People >16 Years of Age Who Have a Computer without Internet Subscription', 'Number of People >65 Years of Age Who Have a Computer without Internet Subscription', 'Percent of People >65 Years of Age Who Have a Computer without Internet Subscription', 'Number of People >25 Years of Age with Low Education Who Have a Computer without Internet Subscription', 'Percent of People >25 Years of Age with Low Education Who Have a Computer without Internet Subscription', 'Number of Households with Income Less Than $20,000 without an Internet Subscription', 'Percent of Households with Income Less Than $20,000 without an Internet Subscription', 'Low Income and Low Food Access Measured at 1 Mile for Urban Areas and 10 Miles for Rural Areas', 'Low Income and Low Food Access Measured at 1/2 Mile for Urban Areas and 10 Miles for Rural Areas', 'Low Income and Low Food Access Measured at 1 Mile for Urban Areas and 20 Miles for Rural Areas', 'Low Income and Low Food Access using Vehicle Access or Low Income and Low Access Tract Measured at 20 Miles', 'Percent of Housing Units by Year Structure Built', 'Average Normalized Difference Vegetation Index (NDVI) Value by Census Tract', 'Percent of Public Schools Located within 150 m of a Highway', 'Percent of Population Living within 150 m of a Highway', 'Number of People Living Within 1/2 or 1 mile of a Park', 'Percent of People Living Within 1/2 or 1 mile of a Park', 'Number of Children Aged 5-17 Years Old Living Within 1/2 or 1 Mile of a Public School', 'Percent of Children Aged 5-17 Years Old Living Within 1/2 or 1 Mile of a Public School', 'Annual Change in Average Normalized Difference Vegetation Index (NDVI) Value by Census Tract', 'Number of Hospitals', 'Number of Hospitals per 100,000 Population', 'Number of Hospital Beds', 'Number of Hospital Beds per 10,000 Population', 'Percent of Hospitals within Flood Hazard Area', 'Percent of Hospital Beds within Flood Hazard Area', 'Number of Pharmacies per 100,000 Population', 'Number of CLIA-waived Pharmacies', 'Total Number of Pharmacists', 'Number of Pharmacists per 100,000 Population', 'Real-time Power Outages', 'Annual Number of Cases of Bladder Cancer (Including In Situ)', 'Age-adjusted Incidence Rate of Bladder Cancer (including in situ) per 100,000 Population', 'Annual Number of Cases of Brain and Other Nervous System Cancer', 'Age-adjusted Incidence Rate of Brain and Other Nervous System Cancer per 100,000 Population', 'Annual Number of Cases of Leukemia', 'Age-adjusted Incidence Rate of Leukemia per 100,000 Population', 'Annual Number of Cases of Acute Myeloid Leukemia', 'Age-adjusted Incidence Rate of Acute Myeloid Leukemia per 100,000 Population', 'Annual Number of Cases of Chronic Lymphocytic Leukemia', 'Age-adjusted Incidence Rate of Chronic Lymphocytic Leukemia per 100,000 Population', 'Annual Number of Cases of Lung and Bronchus Cancer', 'Age-adjusted Incidence Rate of Lung and Bronchus Cancer per 100,000 Population', "Annual Number of Cases of Non-Hodgkin's Lymphoma", "Age-adjusted Incidence Rate of Non-Hodgkin's Lymphoma per 100,000 Population", 'Annual Number of Cases of Thyroid Cancer', 'Age-adjusted Incidence Rate of Thyroid Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Bladder Cancer (Including In Situ) per 100,000 Population over a 5-year Period', 'Age-adjusted Incidence Rate of Brain and Other Nervous System Cancer per 100,000 Population over a 5-year Period', 'Age-adjusted Incidence Rate of Leukemia per 100,000 Population over a 5-year Period', 'Age-adjusted Incidence Rate of Lung and Bronchus Cancer per 100,000 Population over a 5-year Period', "Age-adjusted Incidence Rate of Non-Hodgkin's Lymphoma per 100,000 Population over a 5-year Period", 'Age-adjusted Incidence Rate of Thyroid Cancer per 100,000 Population over a 5-year Period', 'Average Annual Number of Cases of Bladder Cancer (Including In Situ) over a 5-year Period', 'Average Annual Number of Cases of Brain and Other Nervous System Cancer over a 5-year Period', 'Average Annual Number of Cases of Leukemia over a 5-year Period', 'Average Annual Number of Cases of Lung and Bronchus Cancer over a 5-year Period', "Average Annual Number of Cases of Non-Hodgkin's Lymphoma over a 5-year Period", 'Average Annual Number of Cases of Thyroid Cancer over a 5-year Period', 'Annual Number of Cases of Breast Cancer', 'Age-adjusted Incidence Rate of Breast Cancer per 100,000 Population', 'Average Annual Number of Cases of Breast Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Breast Cancer per 100,000 Population over a 5-year Period', 'Average Annual Number of Cases of Mesothelioma over a 5-year Period', 'Age-adjusted Incidence Rate of Mesothelioma per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Melanoma of the Skin', 'Average Annual Number of Cases of Melanoma of the Skin over a 5-year Period', 'Age-adjusted Incidence Rate of Melanoma of the Skin per 100,000 Population', 'Age-adjusted Incidence Rate of Melanoma of the Skin per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Kidney and Renal Pelvis Cancer', 'Average Annual Number of Cases of Kidney and Renal Pelvis Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Kidney and Renal Pelvis Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Kidney and Renal Pelvis Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Liver and Intrahepatic Bile Duct Cancer', 'Average Annual Number of Cases of Liver and Intrahepatic Bile Duct Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Liver and Intrahepatic Bile Duct Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Liver and Intrahepatic Bile Duct Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Oral/Pharynx Cancer', 'Average Annual Number of Cases of Oral/Pharynx Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Oral/Pharynx Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Oral/Pharynx Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Esophageal Cancer', 'Average Annual Number of Cases of Esophageal Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Esophageal Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Esophageal Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Pancreas Cancer', 'Average Annual Number of Cases of Pancreas Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Pancreas Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Pancreas Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Larynx Cancer', 'Average Annual Number of Cases of Larynx Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Larynx Cancer per 100,000 Population', 'Age-adjusted Incidence Rate of Larynx Cancer per 100,000 Population over a 5-year Period', 'Annual Number of Cases of Testicular Cancer', 'Age-adjusted Incidence Rate of Testicular Cancer per 100,000 Population', 'Average Annual Number of Cases of Testicular Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Testicular Cancer per 100,000 Population over a 5-year Period', 'Number of Cases of Lung Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Lung Cancer (20,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Lung Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Lung Cancer per 100,000 Population (20,000 Min. Population Area, 5-year Period)', 'Number of Cases of Breast Cancer (Census Tract, 10-year Period)', 'Number of Cases of Breast Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Breast Cancer (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Breast Cancer per 100,000 Population (Census Tract, 10-year Period)', 'Age-adjusted Rate of Breast Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Breast Cancer per 100,000 Population (20,000 Min. Population Area, 3-year Period)', 'Number of Cases of Prostate Cancer (Census Tract, 10-year Period)', 'Number of Cases of Prostate Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Prostate Cancer (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Prostate Cancer per 100,000 Population (Census Tract, 10-year Period)', 'Age-adjusted Rate of Prostate Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Prostate Cancer per 100,000 Population (20,000 Min. Population Area, 3-year Period)', 'Number of Cases of Colorectal Cancer (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Colorectal Cancer (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Colorectal Cancer per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Colorectal Cancer per 100,000 Population (20,000 Min. Population Area, 3-year Period)', 'Number of Cases of Melanoma (5,000 Min. Population Area, 5-year Period)', 'Number of Cases of Melanoma (20,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Melanoma per 100,000 Population (5,000 Min. Population Area, 5-year Period)', 'Age-adjusted Rate of Melanoma per 100,000 Population (20,000 Min. Population Area, 3-year Period)', "Number of Cases of Non-Hodgkin's Lymphoma (20,000 Min. Population Area, 5-year Period)", "Age-adjusted Rate of Non-Hodgkin's Lymphoma per 100,000 Population (20,000 Min. Population Area, 5-year Period)", 'Annual Number of Cases of Prostate Cancer', 'Age-adjusted Incidence Rate of Prostate Cancer per 100,000 Population', 'Average Annual Number of Cases of Prostate Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Prostate Cancer per 100,000 Population over a 5-year period', 'Annual Number of Cases of Colorectal Cancer', 'Age-adjusted Incidence Rate of Colorectal Cancer per 100,000 Population', 'Average Annual Number of Cases of Colorectal Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Colorectal Cancer per 100,000 Population over a 5-year Period', 'Age-adjusted incidence rate of Melanoma of the Skin per 100,000 population over a 10-year period', 'Crude Prevalence of Cancer among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Cancer among Adults >=18 Years of Age (Model-based; County)', 'Bladder Cancer over a 5-year Period (Value of SIR)', 'Bladder Cancer over a 3-year Period (Value of SIR)', 'Brain and Other Nervous System Cancer over a 5-year Period (Value of SIR)', 'Brain and Other Nervous System Cancer over a 3-year Period (Value of SIR)', 'Breast Cancer (Females Only) over a 5-year Period (Value of SIR)', 'Breast Cancer (Females Only) over a 3-year Period (Value of SIR)', 'Colorectal Cancer over a 5-year Period (Value of SIR)', 'Colorectal Cancer over a 3-year Period (Value of SIR)', 'Esophageal Cancer over a 5-year Period (Value of SIR)', 'Esophageal Cancer over a 3-year Period (Value of SIR)', 'Kidney Cancer over a 5-year Period (Value of SIR)', 'Kidney Cancer over a 3-year Period (Value of SIR)', 'Larynx Cancer over a 5-year Period (Value of SIR)', 'Larynx Cancer over a 3-year Period (Value of SIR)', 'Leukemia over a 5-year Period (Value of SIR)', 'Leukemia over a 3-year Period (Value of SIR)', 'Liver Cancer over a 5-year Period (Value of SIR)', 'Liver Cancer over a 3-year Period (Value of SIR)', 'Lung and Bronchus Cancer over a 5-year Period (Value of SIR)', 'Lung and Bronchus Cancer over a 3-year Period (Value of SIR)', 'Melanoma over a 5-year Period (Value of SIR)', 'Melanoma over a 3-year Period (Value of SIR)', "Non-Hodgkin's Lymphoma over a 5-year Period (Value of SIR)", "Non-Hodgkin's Lymphoma over a 3-year Period (Value of SIR)", 'Oral Cancer over a 5-year Period (Value of SIR)', 'Oral Cancer over a 3-year Period (Value of SIR)', 'Pancreatic Cancer over a 5-year Period (Value of SIR)', 'Pancreatic Cancer over a 3-year Period (Value of SIR)', 'Prostate Cancer over a 5-year Period (Value of SIR)', 'Prostate Cancer over a 3-year Period (Value of SIR)', 'Testicular Cancer (Males Only) over a 5-year Period (Value of SIR)', 'Testicular Cancer (Males Only) over a 3-year Period (Value of SIR)', 'Thyroid Cancer over a 5-year Period (Value of SIR)', 'Thyroid Cancer over a 3-year Period (Value of SIR)', 'SIR of Bladder Cancer over a 5-year Period', 'SIR of Bladder Cancer over a 3-year Period', 'SIR of Brain and Other Nervous System Cancer over a 5-year Period', 'SIR of Brain and Other Nervous System Cancer over a 3-year Period', 'SIR of Breast Cancer (Females Only) over a 5-year Period', 'SIR of Breast Cancer (Females Only) over a 3-year Period', 'SIR of Colorectal Cancer over a 5-year Period', 'SIR of Colorectal Cancer over a 3-year Period', 'SIR of Esophageal Cancer over a 5-year Period', 'SIR of Esophageal Cancer over a 3-year Period', 'SIR of Kidney Cancer over a 5-year Period', 'SIR of Kidney Cancer over a 3-year Period', 'SIR of Larynx Cancer over a 5-year Period', 'SIR of Larynx Cancer over a 3-year Period', 'SIR of Leukemia over a 5-year Period', 'SIR of Leukemia over a 3-year Period', 'SIR of Liver Cancer over a 5-year Period', 'SIR of Liver Cancer over a 3-year Period', 'SIR of Lung and Bronchus Cancer over a 5-year Period', 'SIR of Lung and Bronchus Cancer over a 3-year Period', 'SIR of Melanoma over a 5-year Period', 'SIR of Melanoma over a 3-year Period', "SIR of Non-Hodgkin's Lymphoma over a 5-year Period", "SIR of Non-Hodgkin's Lymphoma over a 3-year Period", 'SIR of Oral Cancer over a 5-year Period', 'SIR of Oral Cancer over a 3-year Period', 'SIR of Pancreatic Cancer over a 5-year Period', 'SIR of Pancreatic Cancer over a 3-year Period', 'SIR of Prostate Cancer over a 5-year Period', 'SIR of Prostate Cancer over a 3-year Period', 'SIR of Testicular Cancer (Males Only) over a 5-year Period', 'SIR of Testicular Cancer (Males Only) over a 3-year Period', 'SIR of Thyroid Cancer over a 5-year Period', 'SIR of Thyroid Cancer over a 3-year Period', 'Annual Number of Cases of Cervical Cancer', 'Age-adjusted Incidence Rate of Cervical Cancer per 100,000 Population', 'Average Annual Number of Cases of Cervical Cancer over a 5-year Period', 'Age-adjusted Incidence Rate of Cervical Cancer per 100,000 Population over a 5-year Period', 'Cervical Cancer over a 5-year Period (Value of SIR)', 'Cervical Cancer over a 3-year Period (Value of SIR)', 'SIR of Cervical Cancer over a 5-year Period (Category of SIR)', 'SIR of Cervical Cancer over a 3-year Period (Category of SIR)', 'Age-adjusted Incidence Rate of Total Cancers per 100,000 Population', 'Annual Number of Cases of Brain and Central Nervous System Cancer among Children <20 Years of Age', 'Annual Number of Cases of Brain and Central Nervous System Cancer among Children <15 Years of Age', 'Annual Number of Leukemia among Children <20 Years of Age', 'Annual Number of Leukemia among Children <15 Years of Age', 'Annual Number of Acute Myeloid Leukemia among Children <20 Years of Age', 'Annual Number of Acute Myeloid Leukemia among Children <15 Years of Age', 'Annual Number of Cases of Acute Lymphocytic Leukemia among Children <20 Years of Age', 'Annual Number of Cases of Acute Lymphocytic Leukemia among Children <15 Years of Age', 'Percent of Children Tested', 'Percent of Children Tested With Confirmed Blood Lead Levels of 5 µg/dL or Greater', 'Annual Number of Hospitalizations for COPD among People >=25 Years of Age', 'Crude Rate of Hospitalizations for COPD among People >=25 Years of Age per 10,000 Population', 'Age-adjusted Rate of Hospitalizations for COPD among People >=25 Years of Age per 10,000 Population', 'Annual Number of Emergency Department Visits for COPD among People >=25 Years of Age', 'Crude Rate of Emergency Department Visits Among People >=25 Years of Age for COPD per 10,000 Population', 'Age-adjusted Rate of Emergency Department Visits People >=25 Years of Age for COPD per 10,000 Population', 'Annual Number of Deaths from COPD among People >=25 Years of Age (Through 2020)', 'Crude Death Rate from COPD among People >=25 Years of Age per 100,000 Population (Through 2020)', 'Age-adjusted Death Rate from COPD among People >=25 Years of Age per 100,000 Population (Through 2020)', 'Crude Prevalence of COPD among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of COPD among Adults >=18 Years of Age (Model-based; County)', 'Annual Number of Deaths from COPD among People >=25 Years of Age (2018 Onward)', 'Crude Death Rate from COPD among People >=25 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Death Rate from COPD among People >=25 Years of Age per 100,000 Population (2018 Onward)', 'Number of People by Demographic Group', 'Annual Number of People Living in Poverty', 'Percent of Population Living in Poverty', 'Annual Median Household Income', 'Number of People >=25 Years of Age with High School Diploma (or Equivalent) or Higher', 'Percent of Population >=25 Years of Age with High School Diploma (or Equivalent) or Higher', 'Number of Single-parent Households', 'Percent of Single-parent Households', 'Number of People >=5 Years of Age That Speak English Less Than "Very Well"', 'Percent of Population >=5 Years of Age That Speak English Less Than "Very Well"', 'Number of People >=65 Years of Age Living Alone in a Non-family Household', 'Number of People >=16 Years of Age who are Unemployed', 'Percent of Population >=16 Years of Age who are Unemployed', 'Percent of Population by Demographic Group', 'Life Expectancy at Birth', 'Life Expectancy at Any Given Age Group', 'Annual Number of Employees in Food Manufacturing Industry', 'Annual Number of Supplemental Security Income (SSI) Recipients', 'Annual Number of Old Age, Survivors, and Disability Insurance (OASDI) Beneficiaries', 'Average Annual Energy Burden (% Income)', 'Average Annual Energy Cost', 'Air Domain Index', 'Built Domain Environment Index', 'Land Domain Index', 'Water Domain Index', 'Sociodemographic Domain Index', 'Overall Environmental Quality Index', 'Total Medicare Beneficiaries Relying on Electricity-dependent Medical Equipment and Devices', 'Total Medicare Beneficiaries, Overall', 'Percent of Households with Income below the Federal Poverty Level', 'Number of Households with Income below the Federal Poverty Level', 'Percent of Population with Income at or below 200% of the Federal Poverty Level', 'Number of Population with Income at or below 200% of the Federal Poverty Level', 'Social Resilience Score', 'Economic Resilience Score', 'Housing/Infrastructural Resilience Score', 'Institutional Resilience Score', 'Community Capital Resilience Score', 'Environmental Resilience Score', 'Overall BRIC Score', 'National Risk Index National Percentile (Score)', 'National Risk Index National Rating', 'National Risk Index State Percentile', 'Expected Annual Loss National Percentile (Score)', 'Expected Annual Loss National Rating', 'Expected Annual Loss U.S. Dollar Value', 'Expected Annual Loss State Percentile', 'Estimated Prevalence of ASDs per 1,000 Children 8 Years Old', 'Annual Number of Children 3-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 3-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of Children 3-5 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 3-5 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of Children 6-11 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 6-11 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of Children 12-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Percent of Children 12-17 Years of Age Receiving Early Intervention, Special Education, or Related Services', 'Annual Number of People Receiving Water from Community Water Systems (CWS)', 'CWS with Exceedances of PFAS Chemicals (PFOA+PFOS)', 'CWS with Detections of PFAS Chemicals (PFOS, PFOA, PFNA, PFBS, PFHxS, PFHpA)', 'CWS that Sampled for PFAS Chemicals', 'Annual Mean Concentration of Arsenic (µg/L)', 'Annual Mean Concentration of Nitrate (mg/L)', 'Annual Mean Concentration of Total Trihalomethane (µg/L)', 'Annual Mean Concentration of Haloacetic Acids (µg/L)', 'Annual Mean Concentration of Atrazine (µg/L)', 'Annual Mean Concentration of DEHP (µg/L)', 'Annual Mean Concentration of PCE (µg/L)', 'Annual Mean Concentration of TCE (µg/L)', 'Annual Mean Concentration of Radium (pCi/L)', 'Annual Mean Concentration of Uranium (µg/L)', 'Annual Number of Community Water Systems (CWS)', 'CWS with Detections of Perchlorate', 'Annual Percent of CWS by Mean Arsenic Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Arsenic Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Arsenic Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Arsenic Concentrations (µg/L)', 'Annual Percent of CWS by Mean Nitrate Concentrations (mg/L)', 'Annual Percent of People Served by CWS by Mean Nitrate Concentrations (mg/L)', 'Annual Percent of CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of People Served by CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of People Served by CWS by Maximum Nitrate Concentrations (mg/L)', 'Annual Percent of CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Total Trihalomethane Concentrations (µg/L)', 'Annual Percent of CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Haloacetic Acids Concentrations (µg/L)', 'Annual Percent of CWS by Mean Atrazine Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Atrazine Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Atrazine Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Atrazine Concentrations (µg/L)', 'Annual Percent of CWS by Mean DEHP Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean DEHP Concentrations (µg/L)', 'Annual Percent of CWS by Maximum DEHP Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum DEHP Concentrations (µg/L)', 'Annual Percent of CWS by Mean PCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean PCE Concentrations (µg/L)', 'Annual Percent of CWS by Maximum PCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum PCE Concentrations (µg/L)', 'Annual Percent of CWS by Mean TCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean TCE Concentrations (µg/L)', 'Annual Percent of Community Water Systems CWS by Maximum TCE Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum TCE Concentrations (µg/L)', 'Annual Percent of CWS by Mean Radium Concentrations (pCi/L)', 'Annual Percent of People Served by CWS by Mean Radium Concentrations (pCi/L)', 'Annual Percent of CWS by Maximum Radium Concentrations (pCi/L)', 'Annual Percent of People Served by CWS by Maximum Radium Concentrations (pCi/L)', 'Annual Percent of CWS by Mean Uranium Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Mean Uranium Concentrations (µg/L)', 'Annual Percent of CWS by Maximum Uranium Concentrations (µg/L)', 'Annual Percent of People Served by CWS by Maximum Uranium Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Nitrate Concentrations (mg/L)', 'Quarterly Percent of CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Total Trihalomethane Concentrations (µg/L)', 'Quarterly Percent of CWS by Mean Atrazine Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Atrazine Concentrations (µg/L)', 'Quarterly Percent of CWS by Mean Nitrate Concentrations (mg/L)', 'Quarterly Percent of CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Quarterly Percent of People Served by CWS by Mean Haloacetic Acids Concentrations (µg/L)', 'Total Number of Weeks a County Was in Drought (1980-present; SPEI)', 'Percent of Weeks a County Was in Drought (1980-present; SPEI)', 'Total Number of Weeks a County Was in Drought by Year (SPEI)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (SPEI)', 'Percent of Weeks a County Was in Drought by Year (SPEI)', 'Counties Currently Experiencing Drought (SPEI)', 'Total Number of Weeks a County Was in Drought (2000-present; USDM)', 'Percent of Weeks a County Was in Drought (2000-present; USDM)', 'Total Number of Weeks a County Was in Drought by Year (USDM)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (USDM)', 'Percent of Weeks a County Was in Drought by Year (USDM)', 'Counties Currently Experiencing Drought (USDM)', 'Annual Number of People without Health Insurance', 'Percent of Population without Health Insurance', 'Number of People >=5 Years of Age with a Disability', 'Percent of Population >=5 Years of Age with a Disability', 'Crude Prevalence of Mental Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of All Teeth Lost among Adults >=65 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Current Lack of Health Insurance among Adults >=18 to =64 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Visits to Doctor for Routine Checkup Within the Past Year among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Visits to the Dentist or Dental Clinic among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Mammography Use among Women Aged >=50 to =74 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Cervical Cancer Screening among Adult Women >=21 to =65 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Colorectal Cancer Screening among Adults >=50 to =75 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Older Men >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County/Census Tract)', 'Crude Prevalence of Older Women >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County/Census Tract)', 'Crude Prevalence of Arthritis among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Diagnosed Diabetes among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of High Blood Pressure among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Physical Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (Model-based; County/Census Tract)', 'Crude Prevalence of Chronic Kidney Disease among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Taking Medicine for High Blood Pressure Control among Adults >=18 Years of Age with High Blood Pressure (Model-based; County/Census Tract)', 'Crude Prevalence of Cholesterol Screening among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Mental Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of All Teeth Lost among Adults >=65 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Current Lack of Health Insurance among Adults >=18 to =64 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Visits to Doctor for Routine Checkup Within the Past Year among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Visits to the Dentist or Dental Clinic among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Mammography Use among Women Aged >=50 to =74 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Cervical Cancer Screening among Adult Women >=21 to =65 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Colorectal Cancer Screening among Adults >=50 to =75 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Older Men >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County)', 'Age-adjusted Prevalence of Older Women >=65 Years of Age Who Are Up-to-date on a Core Set of Clinical Preventive Services (Model-based; County)', 'Age-adjusted Prevalence of Arthritis among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Diagnosed Diabetes among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of High Blood Pressure among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Physcial Health Not Good for >=14 Days among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (Model-based; County)', 'Age-adjusted Prevalence of Chronic Kidney Disease among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Taking Medicine for High Blood Pressure Control among Adults >=18 Years of Age with High Blood Pressure (Model-based; County)', 'Age-adjusted Prevalence of Cholesterol Screening among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Depression Among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Depression Among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Fair or Poor Self-rated Health Status Among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Fair or Poor Self-rated Health Status Among Adults >=18 Years of Age (Model-based, County)', 'Annual Number of People without Health Insurance (0 to 18 Years of Age Only)', 'Percent of People without Health insurance (0 to 18 Years of Age Only)', 'Crude Prevalence of Hearing Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Hearing Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Vision Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Vision Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Cognitive Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Cognitive Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Mobility Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Mobility Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Self-care Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Self-care Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Independent Living Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Independent Living Disability among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Any Disability among Adults >=18 Years of Age (Model-based; County/ Census Tract)', 'Age-adjusted Prevalence of Any Disability among Adults >=18 Years of Age (Model-based; County)', 'Annual Number of Hospitalizations for Heart Attack among People >=35 Years of Age', 'Crude Rate of Hospitalizations for Heart Attack among People >=35 Years of Age per 10,000 Population', 'Age-adjusted Rate of Hospitalizations for Heart Attack among People >=35 Years of Age per 10,000 Population', 'Annual Number of Deaths from Ischemic Heart Disease among People >=35 Years of Age (Through 2020)', 'Crude Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Age-adjusted Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Annual Number of Deaths from Heart Attack among People >=35 Years of Age (Through 2020)', 'Crude Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Age-adjusted Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (Through 2020)', 'Number of Hospitalizations for Heart Attack among Persons >=35 Years of Age (Census Tract, 5-year Period)', 'Number of Hospitalizations for Heart Attack among Persons >=35 Years of Age (5,000 Min. Population Area, 3-year Period)', 'Number of Hospitalizations for Heart Attack among Persons >=35 Years of Age (20,000 Min. Population Area, 1-year Period)', 'Crude Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (Census Tract, 5-year Period)', 'Crude Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (5,000 Min. Population Area, 3-year Period)', 'Crude Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (20,000 Min. Population Area, 1-year Period)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (Census Tract, 5-year Period)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (5,000 Min. Population Area, 3-year Period)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among Persons >=35 Years of Age per 10,000 Population (20,000 Min. Population Area, 1-year Period)', 'Air Medical Transport to Most Appropriate Stroke Facility', 'EMS Provider Stroke Continuing Education', 'EMS Stroke Pre-notification of Receiving Facility', 'EMS Triage and Ground Transport to Most Appropriate Stroke Facility', 'EMSS Stroke Continuous Quality Improvement', 'Inter-facility Transfer to Most Appropriate Stroke Facility', 'Standardized EMS Stroke Assessment Tool', 'Nationally Certified Primary Stroke Centers', 'Nationally Certified Comprehensive Stroke Centers', 'Nationally Certified Acute Stroke-ready Hospitals', 'State Standards for Primary Stroke Centers', 'State Standards for Comprehensive Stroke Centers', 'State Standards for Acute Stroke-ready Hospitals', 'Telemedicine to Initiate Treatment On-site', 'State-level Continuous Quality Improvement Registry', 'State Agency Authorized to Designate Stroke Centers', 'State Agency Rule-making Authority', 'Stroke Center Tiered Approach', 'Stroke Systems of Care Task Force', 'Crude Prevalence of Stroke among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Coronary Heart Disease among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Stroke among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Coronary Heart Disease among Adults >=18 Years of Age (Model-based; County)', 'Crude Prevalence of Adults >=18 Years of Age Ever Diagnosed with Stroke (State)', 'Age-adjusted Prevalence of Adults >=18 Years of Age Ever Diagnosed with Stroke (State)', 'Average Annual Age-adjusted Death Rate from Stroke per 100,000 Population Among Persons >=35 Years of Age', 'Average Annual Age-adjusted Hospitalization Rate for Stroke per 1,000 Medicare Beneficiaries >=65 Years of Age', 'Age-adjusted Prevalence of High Blood Pressure among Adults >=18 Years of Age (State)', 'Crude Prevalence of High Blood Pressure among Adults >=18 Years of Age (State)', 'Age-adjusted Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (State)', 'Crude Prevalence of High Cholesterol among Adults >=18 Years of Age Who Have Been Screened in the Past 5 Years (State)', 'Age-Adjusted Prevalence of Current Smoking Among Adults >=18 Years Of Age (State)', 'Crude Prevalence of Current Smoking Among Adults >=18 Years of Age (State)', 'Crude Prevalence of Taking Medicine for High Blood Pressure Control among Adults >=18 Years of Age with High Blood Pressure (State)', 'Age-adjusted Prevalence of Cholesterol Screening among Adults >=18 Years of Age (State)', 'Prevalence of Blood Pressure Medication Non-Adherence among >=65 Years of Age', 'Prevalence of Cholesterol Medication Non-Adherence among >=65 Years of Age', 'Annual Number of Deaths from Ischemic Heart Disease Among People >= 35 Years (2018 Onward)', 'Crude Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Death Rate from Ischemic Heart Disease among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Annual Number of Deaths from Heart Attack among People >=35 Years of Age (2018 Onward)', 'Crude Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Death Rate from Heart Attack among People >=35 Years of Age per 100,000 Population (2018 Onward)', 'Age-adjusted Rate of Hospitalizations for Heart Attack among People >=35 Years of Age per 10,000 Population', 'Annual Number of People Living in Poverty', 'Percent of Population Living in Poverty', 'Annual Median Household Income', 'Daily Maximum Temperature from May to September', 'Daily Maximum Heat Index from May to September', 'Rate of Hospitalization for Heart Disease Among Medicare Beneficiaries >=65 Years of Age', 'Percent of Population of a Race Other Than White', 'Percent of Population >=65 Years of Age Living Alone in a Non-family Household', 'Annual Number of Heat-related Deaths', 'Annual Number of Extreme Heat Days from May to September', 'Annual Number of Extreme Heat Events from May to September', 'Annual Number of Hospitalizations for HRI', 'Crude Rate of Hospitalizations for HRI per 100,000 Population', 'Age-adjusted Rate of Hospitalizations for HRI per 100,000 Population', 'Annual Number of Emergency Department Visits for HRI', 'Crude Rate of Emergency Department Visits for HRI per 100,000 population', 'Age-adjusted Rate of Emergency Department Visits for HRI per 100,000 population', 'Historical Mean Daily Max. Temperature by day of year for Summer Months (May-September)', 'Historical Mean Daily Max. Heat Index by day of year for Summer Months (May-September)', 'Monthly Projected Average Heat Wave Intensity', 'Monthly Projected Maximum Temperature during a Heat Wave', 'Monthly Projected Maximum Minimum (Nightly) Temperature during a Heat Wave', 'Monthly Projected Average Heat Wave Count', 'Monthly Projected Average Heat Wave Duration', 'Climate Prediction Center (CPC) Monthly Temperature Forecast Category', 'Monthly Projected Number of Heat Exceedance Days', 'Weekly Average Maximum Temperature', 'Number of Heat-related Deaths over a 5-year Period', 'Daily Maximum Temperature', 'Weekly Rates of HRI-associated ED Visits per 100,000 Population (non-VA)', 'Daily Rates of HRI-associated ED Visits per 100,000 Population (non-VA)', 'Annual Rate of Non-fatal Worker Heat-Related Illness with days away from work by year per 10,000 full-time workers', 'Annual Worker Heat-Related Illness Cases', 'Annual Median Days of Work Lost Due to Heat-Related Illness', 'Annual Worker Days Lost Due to Heat-Related Illness', 'Annual Number of Extreme Heat Days (Full Year)', 'Annual Number of Extreme Heat Events (Full Year)', 'HeatRisk Forecast', 'Projected\xa0Difference in Extreme Heat Days as Compared to the Historical Period', 'Projected\xa0Difference in Extreme Heat Nights as Compared to the Historical Period', 'Projected Change in Average Summer Temperature as Compared to the Historical Period', 'Historical Heat & Health Burden Percentile Rank', 'Sensitivity Percentile Rank', 'Sociodemographic Percentile Rank', 'Natural & Built Environment Percentile Rank', 'Overall Heat & Health Index Rank', 'HeatRisk Historical', 'Free Thyroxine (FT4) Concentrations in Serum (ng/dL)', 'Total Thyroxine (TT4) Concentrations in Serum (µg/mL)', 'Free Triiodothyronine (FT3) Concentrations in Serum (pg/mL)', 'Total Triiodothyronine (TT3) Concentrations in Serum (ng/dL)', 'Thyroid Stimulating Hormone (TSH) Concentrations in Serum (uIU/mL)', 'Iodine Concentrations in Urine', 'Crude Prevalence of Binge Drinking among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Current Smoking among Adults >=18 years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of No Leisure-time Physical Activity among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Obesity among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Crude Prevalence of Sleeping Less Than 7 Hours among Adults >=18 Years of Age (Model-based; County/Census Tract)', 'Age-adjusted Prevalence of Binge Drinking among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Current Smoking among Adults >=18 years of Age (Model-based; County)', 'Age-adjusted Prevalence of No Leisure-time Physical Activity among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Obesity among Adults >=18 Years of Age (Model-based; County)', 'Age-adjusted Prevalence of Sleeping Less Than 7 Hours among Adults >=18 Years of Age (Model-based; County)', "Annual Number of Exposures to All Pesticides Reported to America's Poison Centers (APC)", 'Rate of Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Exposures to Disinfectants Reported to APC', 'Rate of Exposure to Disinfectants Reported to APC per 100,000 people', 'Annual Number of Exposures to Fumigants Reported to APC', 'Rate of Exposure to Fumigants Reported to APC per 100,000 people', 'Annual Number of Exposures to Fungicides Reported to APC', 'Rate of Exposure to Fungicides Reported to APC per 100,000 people', 'Annual Number of Exposures to Herbicides Reported to APC', 'Rate of Exposure to Herbicides Reported to APC per 100,000 people', 'Annual Number of Exposures to Insecticides Reported to APC', 'Rate of Exposure to Insecticides Reported to APC per 100,000 people', 'Annual Number of Exposures to Repellants Reported to APC', 'Rate of Exposure to Repellants Reported to APC per 100,000 people', 'Annual Number of Exposures to Rodenticides Reported to APC', 'Rate of Exposure to Rodenticides Reported to APC per 100,000 people', "Annual Number of Deaths from Exposures to All Pesticides Reported to America's Poison Centers (APC)", 'Annual Number of Major Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Annual Number of Moderate Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of Moderate Effect Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Minor Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of Minor Effect Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of No Effect Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of No Effect Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Unable to Follow-Potentially Toxic Illnesses from Exposure to All Pesticides Reported to APC', 'Rate of Unable to Follow-Potentially Toxic Illnesses from Exposure to All Pesticides Reported to APC per 100,000 people', 'Annual Number of Extreme Precipitation Days', 'Monthly Average of Daily Total Precipitation', 'Number of Square Miles within FEMA Designated Flood Hazard Area', 'Percent Area (Square Miles) within FEMA Designated Flood Hazard Area', 'Number of People within FEMA Designated Flood Hazard Area', 'Number of Housing Units within FEMA Designated Flood Hazard Area', 'Number of Square Miles within EPA Designated Flood Hazard Area', 'Percent Area (Square Miles) within EPA Designated Flood Hazard Area', 'Projected Difference in Extreme Precipitation Days as Compared to the Historical Period', 'Projected Difference in Maximum Precipitation During an Extreme Event as Compared to the Historical Period', 'State Orders Closing and Reopening Businesses Issued through November 30, by County, by Day', 'U.S. State and Territorial Public Mask Mandates from April 10, 2020 through January 10, 2021, by County, by Day', 'State- and County-issued Stay-at-home Orders', 'Authority to Provide Care Services', 'Authority to Provide Tobacco Cessation', 'Authority to Provide HIV Pre/Post-exposure Prophylaxis', 'Authority to Participate in Drug Therapy Management', 'Authority to Manage Diseases or Conditions', 'Authority to Provide Vaccines', 'Authority to Provide Point of Care Testing/Screening', 'Authority to Initiate Treatment following Point of Care Testing/Screening', 'Policy Defines CHW Scope of Practice', 'Authority to Support Chronic Disease Care Services', 'CHWs Included in Managed or Team-based Care Models', 'Decision-making Entity to Establish CHW Program', 'Supervision by Other Health Care Professionals', 'Authorizes Certification Process', 'Creation of Standardized Curriculum', 'CHWs Included in Certification Development Process', 'Payment or Reimbursement for Services', 'Grants or Incentives for CHW Workforce', 'Raise Awareness of CHWs within the Healthcare Profession', 'Annual Number of Buildings Tested', 'Annual Number of Pre-mitigation Radon Tests by Radon Level', 'Annual Number of Post-mitigation Radon Tests by Radon Level', 'Percent of Pre-mitigation Radon Tests by Radon Level', 'Percent of Post-mitigation Radon Tests by Radon Level', 'Annual Median Pre-mitigation Radon Level in Tested Buildings', 'Annual Maximum Pre-mitigation Radon Level in Tested Buildings', 'Annual Number of Buildings Tested', 'Number of Buildings Tested over a 10-year Period', 'Rate of Housing Units Tested per 10,000 Units', 'Number of Pre-mitigation Radon Tests by Radon Level over a 10-year Period', 'Number of Post-mitigation Radon Tests by Radon Level over a 10-year Period', 'Percent of Pre-mitigation Radon Tests by Radon Level over a 10-year Period', 'Percent of Post-mitigation Radon Tests by Radon Level over a 10-year Period', 'Median Pre-mitigation Radon Level in Tested Buildings over a 10-year Period', 'Maximum Pre-mitigation Radon Level in Tested Buildings over a 10-year Period', 'Mean Pre-mitigation Radon Level in Tested Buildings over a 10-year Period', 'Annual Mean Pre-Mitigation Radon Measurement in Tested Buildings', 'Annual Number of Preterm (<37 Weeks Gestation) Live Singleton Births', 'Percent of Preterm (<37 Weeks Gestation) Live Singleton Births', 'Annual Number of Low Birthweight (<2,500 g) Live Singleton Births', 'Percent of Low Birthweight (<2,500 g) Live Singleton Births', 'Total Fertility Rate per 1,000 Women', 'Male to Female Sex Ratio at Birth Multiplied by 1,000', 'Average Annual Number of Very Preterm (<32 Weeks Gestation) Live Singleton Births over a 5-year Period', 'Percent of Very Preterm (<32 Weeks Gestation) Live Singleton Births over a 5-year Period', 'Average Annual Number of Very Low Birthweight (<1,500 g) Live Singleton Births over a 5-year Period', 'Percent of Very Low Birthweight (<1,500 g) Live Singleton Births over a 5-year Period', 'Average Annual Number of Infant (<1 Year of Age) Deaths over a 5-year Period', 'Infant (<1 Year of Age) Mortality Rate per 1,000 Live Births over a 5-year Period', 'Average Annual Neonatal (<28 Days of Age) Deaths over a 5-year Period', 'Neonatal (<28 Days of Age) Mortality Rate per 1,000 Live Births over a 5-year Period', 'Average Annual Number of Postneonatal (>=28 Days to <1 Year of Age) Deaths over a 5-year Period', 'Postneonatal (>=28 Days to <1 Year of Age) Mortality Rate per 1,000 Live Births over a 5-year Period', 'Annual Average Number of Perinatal (>=28 Weeks Gestation to <7 Days of Age) Deaths over a 5-year Period', 'Perinatal (>=28 Weeks Gestation to <7 Days of Age) Mortality Rate per 1,000 Live Births and Fetal Deaths over a 5-year Period', 'Annual Number of Preterm (<37 Weeks Gestation) Live Singleton Births (2018 Onward)', 'Percent of Preterm (<37 Weeks Gestation) Live Singleton Births (2018 Onward)', 'Annual Number of Low Birthweight (<2,500 g) Live Singleton Births (2018 Onward)', 'Percent of Low Birthweight (<2,500 g) Live Singleton Births (2018 Onward)', 'Total Fertility Rate per 1,000 Women (2018 Onward)', 'Male to Female Sex Ratio at Birth Multiplied by 1,000 (2018 Onward)', 'Annual Average Sunlight Exposure Measured by Solar Irradiance (kJ/m2)', 'Monthly Average Sunlight Exposure Measured by Solar Irradiance (kJ/m2)', 'Annual Average Daily Dose of UV Irradiance (J/m2)', 'Monthly Average Daily Dose of UV Irradiance (J/m2)', 'Annual Average UV Irradiance at Noon (mW/m2)', 'Monthly Average UV Irradiance at Noon (mW/m2)', 'Indoor Tanning Restrictions for Minors', 'Laws Allowing Students to Carry and Self-apply Sunscreen in Schools', 'Total Tornado-related Injuries & Fatalities (1986-present)', 'Annual Number of Tornadoes', 'Average Annual Number of Tornados (1986-present)', 'Total Number of Tornadoes (1986-Present)', 'Annual Number of Reported Acute Toxic Substance Release Incidents', 'Percent of Reported Acute Toxic Substance Release Incidents with at Least One Injury or Fatality', 'Percent of Reported Acute Toxic Substance Release Incidents with Evacuation Ordered', 'Rate of Injuries and Fatalities due to Reported Acute Toxic Substance Release Incidents per 100,000 Population', 'Rate of Reported Acute Toxic Substance Release Incidents per 100,000 Population', 'Number of Workers >16 Years of Age that Used Public Transportation (excluding Taxicabs)', 'Percent of Workers >16 Years of Age that Used Public Transportation (excluding Taxicabs)', 'Number of Workers >16 Years of Age', 'Number of Workers >16 Years of Age That Used Active Transportation', 'Percent of Workers >16 Years of Age That Used Active Transportation', 'Number of Workers >16 Years of Age That Used Car, Truck, Van', 'Percent of Workers >16 Years of Age That Used Car, Truck, Van', 'Number of Workers >16 Years of Age That Worked at Home', 'Percent of Workers >16 Years of Age That Worked at Home', 'Average One-way Commute Time (Minutes) for Workers >=16 Years of Age for All Travel Modes', 'Number of Workers >=16 Years of Age Driving >20 Minutes to Work (Car, Truck, Van)', 'Percent of Workers >=16 Years of Age Driving >20 Minutes to Work (Car, Truck, Van)', 'Number of Workers >=16 Years of Age Taking Public Transportation >45 Minutes to Work', 'Percent of Workers >=16 Years of Age Taking Public Transportation >45 Minutes to Work', 'Number of Workers >=16 Years of Age Walking >10 Minutes to Work', 'Percent of Workers >=16 Years of Age Walking >10 Minutes to Work', 'Number of Fatal Motor Vehicle Crashes over a 5-year Period', 'Rate of Fatal Motor Vehicle Crashes per 100,000 Population over a 5-year Period', 'Percent of Fatal Motor Vehicle Crashes Involving Cyclists or Pedestrians over a 5-year Period', 'Location of All Fatal Motor Vehicle Crashes over a 5-year Period', 'Location of Fatal Motor Vehicle Crashes by Crash Type over a 5-year Period', 'Vehicle Miles Traveled (Major Roadways)', 'Number of Motor Vehicle-Related Fatalities (all)', 'Annual Number of Hospitalizations for CO Poisoning', 'Crude Rate of Hospitalizations for CO Poisoning per 100,000 Population', 'Age-adjusted Rate of Hospitalizations for CO Poisoning per 100,000 Population', 'Annual Number of Emergency Department Visits for CO Poisoning', 'Crude Rate of Emergency Department Visits for CO Poisoning per 100,000 Population', 'Age-adjusted Rate of Emergency Department Visits for CO Poisoning per 100,000 Population', 'Average Annual Number of Deaths from CO Poisoning over a 5-year Period', 'Crude Death Rate from CO Poisoning per 100,000 Population over a 5-year Period', 'Age-adjusted Death Rate from CO Poisoning per 100,000 Population over a 5-year Period']
[]
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 04/18/2018. www.cdc.gov/ephtracking.
None
National Neighborhood Data Archive (NANDA)
['National Neighborhood Data Archive']
['The National Neighborhood Data Archive (NaNDA) is an open-source collection of datasets that include a focus on "places" across the United States. It provides various measures that can be narrowed down to align more with an individual\'s research. It provides subjects such as socioeconomic disadvantage and affluence, walkability, crime, land use, recreational centers, libraries, fast food, climate, healthcare, housing, public transit, etc. It is managed by the social Environment and Health program at the University of Michigan Institute for Social Research.']
['eng']
[]
['Social Environment and Health program at the University of Michigan Institute for Social Research']
['University of Michigan Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Polygon data']
['Economic Stability', 'Education', 'Food Environment', 'Health and Healthcare', 'Housing', 'Neighborhood and Built Environment', 'Social and Community Context', 'Transportation and Infrastructure']
['Health', 'Society']
['US Census', 'Socioeconomic Disadvantage', 'Equity']
['2019-2024']
2019
[2019, 2020, 2021, 2022, 2023, 2024]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
CSV
None
{'http://schema.org/url': 'https://nanda.isr.umich.edu/about-nanda/'}
None
herop-gfxyto
[]
2025-06-16T15:03:44Z
SDOH PlaceProject
False
['County', 'State', 'Census Tract', 'Census Block', 'Census Block Group', 'Zip Code Tabulation Area (ZCTA)']
['']
None
[]
[]
[]
Clarke, P., Noppert, G., Melendez, R., Sinkewic, M., Gomez-Lopez, I., Pienta, A., & Chenoweth, M. (2019). National Neighborhood Data Archive. NANDA. https://nanda.isr.umich.edu/data/
The National Neighborhood Data Archive (NaNDA) provides datasets at various spatial scales, including census tract, block group, and ZIP code level. These datasets cover topics such as demographics, healthcare, crime, education, food access, housing, and more.The NANDA datasets encompass 4,333 variables.
National Walkability Index
['EPA Walkability Index']
['EPA developed three data products - Smart Location Database, Access to Jobs and Workers Via Transit Tool, and National Walkability Index - that consistently measure the built environment and transit accessibility of neighborhoods across metropolitan regions and the United States. Users can download data, browse the data in interactive maps, or access the data through web services. The National Walkability Index is based on measures of the built environment that affect the probability of whether people walk as a mode of transportation: street intersection density, proximity to transit stops, and diversity of land uses. The National Walkability Index data are available at the block group level, a unit of census geography that is smaller than a census tract and larger than a census block']
['eng']
[]
['U.S. Environmental Protection Agency, Office of Sustainable Communities']
['U.S. Environmental Protection Agency']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Polygon data', 'Table data']
['Neighborhood and Built Environment']
['Environment', 'Transportation']
['Transportation', 'Walkability', 'Transit', 'Access', 'Design', 'Diversity', 'Density', 'Employment', 'Demographics']
['2021']
2021
[2021]
[]
['United States']
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None
None
False
[]
[]
['herop-ppvuzl']
[]
[]
[]
[]
['None']
['None']
["No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work."]
Public
Geodatabase
406 mb
{'http://lccn.loc.gov/sh85035852': 'https://https://www.epa.gov/smartgrowth/smart-location-mapping#walkability', 'http://schema.org/downloadUrl': 'https://www.epa.gov/sites/default/files/2021-06/documents/national_walkability_index_methodology_and_user_guide_june2021.pdf', 'archive-url': 'https://uofi.box.com/s/0pzgxfprxzu7c6vj5pyopu61ixkb5gra'}
None
herop-jjsukv
[]
2025-08-05T23:01:03Z
SDOH PlaceProject
False
['Census Block Group']
['']
None
['Intersection density (D3b)', 'Proximity to transit stops (D4a)', 'Employment mix (D2b_E8MixA)', 'Employment and household mix (D2a_EpHHm)']
['Population 2018', 'Housing units 2018', 'Households (occupied housing units) 2018', 'Workers - Count of workers in CBG (home location), 2017', '8-tier employment entropy (denominator set to the static 8 employment types in the CBG)-D2B_E8MIXA', ' Employment and household entropy-D2A_EPHHM', 'Distance from the population-weighted centroid to the nearest transit stop (meters)-D4A', 'Street intersection density (weighted, auto-oriented intersections eliminated)- D3B', 'Quantile ranked order (1-20) of [D2a_EpHHm] from lowest to highest- D2A_Ranked', 'Quantile ranked order (1-20) of [D2b_E8MixA] from lowest to highest-D2B_Ranked', 'Quantile ranked order (1-20) of [D3b] from lowest to highest- D3B_Ranked', 'Quantile ranked order (1,13-20) of [D4a] from lowest to highest- D4A_Ranked']
['National Walkability Index']
US-EPA. (2019). National Walkability Index [Dataset]. U.S. Environmental Protection Agency. Retrieved from https://edg.epa.gov/data/Public/OA/WalkabilityIndex.zip
None
Neighborhood Atlas
['Neighborhood Atlas']
["The <a href='https://www.neighborhoodatlas.medicine.wisc.edu'>Neighborhood Atlas website</a> was created in order to freely share measures of neighborhood disadvantage with the public, including educational institutions, health systems, not-for-profit organizations, and government agencies, in order to make these metrics available for use in research, program planning, and policy development. The Area Deprivation Index (ADI) is based on a measure created by the Health Resources & Services Administration (HRSA) thirty years ago. It helps to rank neighborhoods on the basis of income, education, employment, and housing quality."]
['eng']
[]
['Kind AJH, Buckingham W. University of Wisconsin School of Medicine and Public Health']
['University of Wisconsin School of Medicine and Public Health']
Healthy Regions + Policies Lab
['Websites']
['Atlases', 'Thematic maps']
['Education', 'Health and Healthcare', 'Neighborhood and Built Environment', 'Social and Community Context']
['Health', 'Society']
['US Census', 'Health Equity', 'Income', 'SDOH']
['2015-2020']
2018-05-01
[2015, 2018, 2020]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
URL, PDF, Excel
None
{'http://schema.org/url': 'https://www.neighborhoodatlas.medicine.wisc.edu', 'http://lccn.loc.gov/sh85035852': 'https://pmc.ncbi.nlm.nih.gov/articles/PMC10986280/'}
None
herop-ggungs
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Block Group', 'Zip Code Tabulation Area (ZCTA)']
[]
None
['FPL 150% (Federal Poverty Level at 150%)', 'FPL 100% (Federal Poverty Level at 100%)', 'Income disparity', 'Less than 8 years of education', '12 or more years of education', 'White collar occupation', 'Unemployed', 'Single parent', 'Owner occupied (homeownership status)', 'Crowding (household density)', 'No motor vehicle', 'No telephone', 'No plumbing', 'Median income ($)', 'Median home value ($)', 'Median rent ($)', 'Median mortgage ($)']
['Scoring coefficient', 'Value', 'Product', 'Percent', 'Value', 'FPL 150% (Federal Poverty Level at 150%)', 'FPL 100% (Federal Poverty Level at 100%)', 'Income disparity', 'Less than 8 years of education', '12 or more years of education', 'White collar occupation', 'Unemployed', 'Single parent', 'Owner occupied (homeownership status)', 'Crowding (household density)', 'No motor vehicle', 'No telephone', 'No plumbing', 'Median income ($)', 'Median home value ($)', 'Median rent ($)', 'Median mortgage ($)']
['Area Deprivation Index (ADI)']
Kind AJH, Buckingham W. Making Neighborhood Disadvantage Metrics Accessible: The Neighborhood Atlas. New England Journal of Medicine, 2018. 378: 2456-2458. DOI: 10.1056/NEJMp1802313. PMCID: PMC6051533.
### Area Deprivation and Widening Inequalities in US Mortality, 1969-1998 A census-based area deprivation index was linked to county mortality data. ### Neighborhood Socioeconomic Disadvantage and 30-day Rehospitalization Medicare data were linked to 2000 census data to construct an ADI for each patient's census block group, which were then sorted into percentiles by increasing ADI. Relationships between neighborhood ADI grouping and 30-day rehospitalization were evaluated using multivariate logistic regression models, controlling for patient sociodemographic characteristics, comorbid conditions and severity, and index hospital characteristics. ### ADI The ADIs on this website are provided in national percentile rankings at the block group level from 1 to 100. The percentiles are constructed by ranking the ADI from low to high for the nation and grouping the block groups/neighborhoods into bins corresponding to each 1% range of the ADI. Group 1 is the lowest ADI and group 100 is the highest ADI. A block group with a ranking of 1 indicates the lowest level of "disadvantage" within the nation and an ADI with a ranking of 100 indicates the highest level of "disadvantage".
Neighborhood Characteristics by Tract, County, & Commuting Zone
['Opportunity Insights Neighborhood Characteristics (The Opportunity Atlas: Mapping the Childhood Roots of Social Mobility)']
["The Child Opportunity Atlas maps the childhood roots of social mobility, and serves as a publicly available atlas of children’s outcomes in adulthood by census tract using anonymized longitudinal data covering nearly the entire U.S. population. The Neighborhood Characteristics dataset provides multiple levels (census tract, county, and commuting zone) covariates used throughout the paper or shown in the Opportunity Atlas as neighborhood characteristics. All variables other than czname are numeric. The statistics reported in this table have been cleared by the Census Bureau's Disclosure Review Board release authorization number CBDRB-FY18-319."]
['eng']
[]
['Opportunity Insights']
['Opportunity Insights']
Healthy Regions + Policies Lab
['Datasets']
['Atlases', 'Census data']
['Demographics', 'Economic Stability', 'Employment', 'Education', 'Housing', 'Social and Community Context']
['Economy', 'Property', 'Society']
['Mobility', 'Income', 'Inequality']
['2000-2015']
None
[2015]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
['Oppotunity Insights']
['Oppotunity Insights']
['Oppotunity Insights']
Public
STATA, Excel
264KB - 23.7MB
{'http://schema.org/url': 'https://opportunityinsights.org/data/?geographic_level=0&topic=0&paper_id=1652#resource-listing'}
None
herop-wtfiks
[]
2025-06-16T15:13:41Z
SDOH PlaceProject
False
['County', 'Census Tract']
['']
Community Zone
['Sum of native and foreign born residents', 'Total number of people aged 25 or older', 'Average annualized job growth rate', 'Rate of employment computed as total employed population', 'Number of people aged 25 or older who have a bachelor’s degree, master’s degree, professional school degree, or doctorate degree', 'Number of jobs with earnings greater than $3,333 per month in own and neighboring tracts whose centroids fall within a radius of 5 miles', 'Share of individuals in the tract below the federal poverty line', 'Number of households with female heads (and no husband present) or male heads (and no wife present) with own children under 18 years old present', 'Share of workers 16 years and over who do not work at home whose commute is shorter than 15 minutes', 'Wharton Residential Land Use Regulatory Index', 'Median gross rent for renter-occupied housing units with two bedrooms that pay cash rent', 'Racial Shares', 'Total number of jobs in own and neighboring tracts whose centroids fall within a radius of 5 miles', '2010 Census return rate', 'Wage growth for high school graduates']
['Total population 16 years and over', 'Mean 3rd grade math test scores', 'Mean household income', 'Median household income', 'Number of jobs per square mile', 'Number of foreign born residents', 'Mean commute time for workers over 16 years old', 'Number of residents per square mile']
[]
Chetty, R., Hendren, N., Friedman, J., Jones, M. R., & Porter, S. R. (2018, September 30). The Opportunity Atlas: Mapping the Childhood Roots of social mobility. Opportunity Insights. https://opportunityinsights.org/paper/the-opportunity-atlas/
None
Neighborhood-School Gap (NaNDA)
['NaNDA Neighborhood-School Gap by Census Tract and ZIP Code Tabulation Area, United States, 2009-2010 and 2015-2016']
["This study contains measures of neighborhood-school gap for 2009-2010 and 2015-2016. Neighborhood-school gap (NS gap) refers to the discrepancy between the demographics of a public school and its surrounding community. For example, if 60 percent of a school's student body is Black, but 30 percent of the neighborhood population is Black, the school has a positive Black neighborhood-school gap. These datasets measure gaps in race and poverty between elementary school student populations and the census tracts and ZIP code tabulation areas (ZCTAs) that those elementary schools serve. Data is at the census tract and ZCTA level. Supplemental data containing component variables used to calculate NS gap at the school and block group level is also available."]
['eng']
[]
['Iris Gomez-Lopez', 'Min Hee Kim', 'Mao Li', 'Dominique Sylvers', 'Michael Esposito', 'Philippa Clarke', 'Megan Chenoweth']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data']
['Demographics', 'Education']
['Boundaries', 'Society']
['education', 'private schools', 'public schools', 'school choice', 'school enrollments']
['2009', '2010', '2015', '2016']
2022-10-27
[2009, 2010, 2015, 2016]
[]
['United States']
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None
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['herop-zrurpe']
[]
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Public
CSV
15.5 MB
{'http://schema.org/url': 'https://nanda.isr.umich.edu/project/neighborhood-school-gap/', 'http://schema.org/downloadUrl': 'https://www.icpsr.umich.edu/web/ICPSR/studies/38579/versions/V2', 'http://lccn.loc.gov/sh85035852': 'https://hdl.handle.net/1783.1/137477'}
None
herop-oyapqt
['doi.org/10.3886/ICPSR38579.v2']
2025-06-16T15:17:01Z
SDOH PlaceProject
False
['Census Tract', 'Zip Code Tabulation Area (ZCTA)']
['']
These data measure discrepancies between the school environment and that of the surrounding community. The collection aims to contribute to the discussion about the causes and the consequences of variations in educational context across geographies.
['School attendance boundaries to block groups', 'Block group demographics', 'Elementary school demographics', 'Median gap for each census tract and ZIP code tabulation area (by aggregating block group data)']
['Difference between the percentage of White residents in a neighborhood and the percentage of White students in the local school(s).', 'Difference between the percentage of Black residents in a neighborhood and the percentage of Black students in the local school(s).', 'Difference between the percentage of American Indian and Alaska Native (AIAN) residents in a neighborhood and the percentage of AIAN students in the school(s).', 'Difference between the percentage of Native Hawaiian and Pacific Islander (NHPI) residents in a neighborhood and the percentage of NHPI students in the school(s).', 'Difference between the neighborhood poverty rate and the school poverty rate (e.g., measured by free/reduced-price lunch eligibility).', 'Difference between the percentage of individuals identifying as Two or More Races in the neighborhood and the percentage of students in the school(s) with the same racial identity.']
[]
Gomez-Lopez, Iris, Kim, Min Hee, Li, Mao, Sylvers, Dominique, Esposito, Michael, Clarke, Philippa, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Neighborhood-School Gap by Census Tract and ZIP Code Tabulation Area, United States, 2009-2010 and 2015-2016. Inter-university Consortium for Political and Social Research [distributor], 2022-11-14. https://doi.org/10.3886/ICPSR38579.v2
None
Neighborhood-School Gap, 2009-2010 and 2015-2016
['NaNDA Neighborhood-School Gap by Census Tract and ZIP Code Tabulation Area, United States, 2009-2010 and 2015-2016']
["This study contains measures of neighborhood-school gap for 2009-2010 and 2015-2016. Neighborhood-school gap (NS gap) refers to the discrepancy between the demographics of a public school and its surrounding community. For example, if 60 percent of a school's student body is Black, but 30 percent of the neighborhood population is Black, the school has a positive Black neighborhood-school gap. These datasets measure gaps in race and poverty between elementary school student populations and the census tracts and ZIP code tabulation areas (ZCTAs) that those elementary schools serve. Data is at the census tract and ZCTA level. Supplemental data containing component variables used to calculate NS gap at the school and block group level is also available."]
['eng']
[]
['Iris Gomez-Lopez', 'Min Hee, Kim', 'Mao Li', 'Dominique Sylvers', 'Michael Esposito', 'Philippa Clarke', 'Megan Chenoweth']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Table data']
['Education', 'Neighborhood and Built Environment']
['Boundaries', 'Location', 'Society']
['Education', 'Private schools', 'Public schools', 'School choice', 'School enrollments']
['2009-2010', '2015-2016']
2022-10-27
[2009, 2010, 2015, 2016]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
None
None
{'http://schema.org/url': 'https://nanda.isr.umich.edu/project/neighborhood-school-gap/', 'http://schema.org/downloadUrl': 'https://www.icpsr.umich.edu/web/ICPSR/studies/38579/versions/V2', 'http://lccn.loc.gov/sh85035852': 'https://hdl.handle.net/1783.1/137477'}
None
herop-rkcyhr
['https://doi.org/10.3886/ICPSR38579.v2']
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Tract', 'Zip Code Tabulation Area (ZCTA)']
[]
Census tracts and ZIP code tabulation areas (ZCTAs) in the United States, including U.S. island territories.
['School attendance boundaries to block groups', 'Block group demographics', 'Elementary school demographics', 'Median gap for each census tract and ZIP code tabulation area (by aggregating block group data)']
['Difference between the percentage of White residents in a neighborhood and the percentage of White students in the local school(s).', 'Difference between the percentage of Black residents in a neighborhood and the percentage of Black students in the local school(s).', 'Difference between the percentage of American Indian and Alaska Native (AIAN) residents in a neighborhood and the percentage of AIAN students in the school(s).', 'Difference between the percentage of Native Hawaiian and Pacific Islander (NHPI) residents in a neighborhood and the percentage of NHPI students in the school(s).', 'Difference between the neighborhood poverty rate and the school poverty rate (e.g., measured by free/reduced-price lunch eligibility).', 'Difference between the percentage of individuals identifying as Two or More Races in the neighborhood and the percentage of students in the school(s) with the same racial identity.']
[]
Gomez-Lopez, Iris, Kim, Min Hee, Li, Mao, Sylvers, Dominique, Esposito, Michael, Clarke, Philippa, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Neighborhood-School Gap by Census Tract and ZIP Code Tabulation Area, United States, 2009-2010 and 2015-2016. Inter-university Consortium for Political and Social Research [distributor], 2022-11-14. https://doi.org/10.3886/ICPSR38579.v2
These data measure discrepancies between the school environment and that of the surrounding community. The collection aims to contribute to the discussion about the causes and the consequences of variations in educational context across geographies.
Opportunity Index
[]
['The Opportunity Index provides a snapshot of conditions that can be used to identify and improve access to opportunity - in comprehensive terms - for residents and their communities. The data and full analysis online show how opportunity index scores have changed over time and what access to opportunity looks like today. The raw data is only available for request.']
['eng']
[]
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Maps', 'Websites']
['Point data']
['Demographics', 'Economic Stability', 'Employment', 'Health and Healthcare', 'Social and Community Context']
['Economy', 'Health', 'Society', 'Structure']
['Community Development', 'Affodability', 'SDOH']
['2016-2023']
None
[2016, 2017, 2018, 2019]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
['None']
[]
[]
Public
None
None
{'http://schema.org/url': 'https://opportunityindex.org/', 'http://lccn.loc.gov/sh85035852': 'https://opportunityindex.org/request-data/', 'http://schema.org/downloadUrl': 'https://opportunityindex.org/resources/', 'archive-url': 'https://uofi.app.box.com/folder/305406383348'}
None
herop-yumqkc
[]
2025-06-25T17:10:41Z
SDOH PlaceProject
False
['County', 'State']
['']
None
['Number of people incarcerated in jail or prison (per 100,000 population 18 and older) [national and state-level only]', 'Number of grocery stores and produce vendors (per 10,000 population)', 'Number of primary care physicians (per 100,000 population)', 'Incidents of violent crime reported to law enforcement agencies (per 100,000 population)', 'Percentage of youth (ages 16–24) not in school and not working', 'Percentage of adults ages 18 and older who are registered to vote [national and state-level only]', 'Percentage of adults (ages 18 and older) who reported they volunteered during the previous year [national and state-level only]', 'Deaths attributed to alcohol or drug poisoning, or to suicide (age-adjusted rate per 100,000 population)', 'Percentage of the population (under age 65) without health insurance coverage', 'Percentage of infants born weighing less than 5.5 pounds', 'Percentage of adults ages 25 and older with an associate degree or higher', 'On-time high school graduation rate (percentage of freshmen who graduate in four years)', 'Percentage of 3- and 4-year-olds attending preschool', 'Percentage of households with subscriptions to broadband internet service', 'Percentage of households spending less than 30 percent of their income on housing-related costs', 'Number of banking institutions (commercial banks, savings institutions, and credit unions) per 10,000 residents', '80/20 ratio (ratio of household income at the 80th percentile to that at the 20th percentile)', 'Percentage of the population below the federal poverty level (the amount of pretax cash income considered adequate for an individual or family to meet basic needs)', 'Unemployment rate (percentage of the population ages 16 and older who are not working but available for and seeking work)', 'Median household income (in 2010 dollars)']
['Overall economy', 'Overall education score', 'Overall community score', 'Overall health score', 'Number of people incarcerated in jail or prison (per 100,000 population 18 and older) [national and state-level only]', 'Number of grocery stores and produce vendors (per 10,000 population)', 'Number of primary care physicians (per 100,000 population)', 'Incidents of violent crime reported to law enforcement agencies (per 100,000 population)', 'Percentage of youth (ages 16–24) not in school and not working', 'Percentage of adults ages 18 and older who are registered to vote [national and state-level only]', 'Percentage of adults (ages 18 and older) who reported they volunteered during the previous year [national and state-level only]', 'Deaths attributed to alcohol or drug poisoning, or to suicide (age-adjusted rate per 100,000 population)', 'Percentage of the population (under age 65) without health insurance coverage', 'Percentage of infants born weighing less than 5.5 pounds', 'Percentage of adults ages 25 and older with an associate degree or higher', 'On-time high school graduation rate (percentage of freshmen who graduate in four years)', 'Percentage of 3- and 4-year-olds attending preschool', 'Percentage of households with subscriptions to broadband internet service', 'Percentage of households spending less than 30 percent of their income on housing-related costs', 'Number of banking institutions (commercial banks, savings institutions, and credit unions) per 10,000 residents', '80/20 ratio (ratio of household income at the 80th percentile to that at the 20th percentile)', 'Percentage of the population below the federal poverty level (the amount of pretax cash income considered adequate for an individual or family to meet basic needs)', 'Unemployment rate (percentage of the population ages 16 and older who are not working but available for and seeking work)', 'Median household income (in 2010 dollars)']
['Opportunity Score']
Opportunity Index. (2013, July 30). Opportunity Index. https://opportunityindex.org/
In 2017, there was a structural change to the Index, affecting its indicators and dimensions. With the structural change, composite opportunity and dimension scores from 2011 to 2015 should not be compared with those from 2016 and forward. The Opportunity Index continues to incorporate the important structural updates made in 2017, including the newest dimension (Health), and indicator updates (detailed information on those updates can be found in the 2017 Technical Supplement). The 2023 Opportunity Index also disaggregated 11 individual indicators by race, ethnicity, and gender at the national level. This analysis provides an examination of what disparities persist across the various facets of opportunity.
Opportunity Index 2016
[]
['Opportunity index provides a snapshot of conditions that can be used to identify and improve access to opportunity - in comprehensive terms - for residents and their communities. The data and full analysis online show how opportunity index scores have changed over time and what access to opportunity looks like today.']
['eng']
[]
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Maps', 'Websites']
['Point data']
[]
['Economy', 'Society']
[]
['2016']
2016
[2016]
[]
['United States']
MULTIPOLYGON (((-67.15 18.5, -67.16 18.49, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.47, -67.17 18.46, -67.16 18.45, -67.18 18.41, -67.19 18.4, -67.21 18.39, -67.24 18.38, -67.26 18.37, -67.26 18.37, -67.27 18.37, -67.27 18.36, -67.27 18.36, -67.27 18.35, -67.26 18.35, -67.25 18.32, -67.24 18.32, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.3, -67.23 18.3, -67.23 18.3, -67.22 18.3, -67.19 18.27, -67.17 18.23, -67.17 18.18, -67.17 18.18, -67.17 18.18, -67.18 18.17, -67.19 18.16, -67.19 18.14, -67.19 18.13, -67.2 18.09, -67.2 18.08, -67.2 18.08, -67.21 18.04, -67.21 17.99, -67.22 17.99, -67.21 17.96, -67.21 17.95, -67.19 17.93, -67.19 17.93, -67.18 17.93, -67.15 17.95, -67.13 17.95, -67.12 17.95, -67.11 17.95, -67.11 17.95, -67.1 17.95, -67.09 17.95, -67.08 17.96, -67.04 17.97, -67 17.96, -66.98 17.95, -66.96 17.93, -66.93 17.93, -66.93 17.93, -66.92 17.93, -66.92 17.93, -66.92 17.93, -66.88 17.95, -66.87 17.95, -66.87 17.95, -66.87 17.95, 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None
None
False
[]
[]
[]
[]
['herop-yumqkc']
[]
[]
['None']
['None']
['None']
Public
None
None
{'http://schema.org/url ': 'https://opportunityindex.org/', 'http://lccn.loc.gov/sh85035852': 'https://opportunityindex.org/request-data/'}
None
herop-ufegqd
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State']
[]
None
[]
['Unemployment rate (%)', 'Median household income (2010 $)', 'Poverty (% of population below poverty line)', '80/20 Ratio (ratio of household income at the 80th percentile to that of the 20th percentile)', 'Banking Institutions (commercial banks, savings institutions, and credit unions per 10,000 residents)', 'Households spending less than 30% of household income on housing costs (%)', 'High-speed Internet (% of households for states; 5-level categories for counties)', 'Preschool (% ages 3 and 4 in school)', 'On-time high school graduation (% of freshmen who graduate in four years)', 'Associate’s degree or higher (% of adults 25 and older)', 'Percentage of adults ages 18 and over-involved in social, civic, sports, and religious groups', 'Percentage of adults ages 18 and older who did volunteer work any time in the previous year', 'Young people not in school and not working (% ages 16-24)', 'Violent crime (per 100,000 population)', 'Doctors (per 100,000 population)', 'Grocery stores and produce vendors (per 10,000 population)']
[]
None
None
Opportunity Index 2017
[]
['Opportunity index provides a snapshot of conditions that can be used to identify and improve access to opportunity - in comprehensive terms - for residents and their communities. The data and full analysis online show how opportunity index scores have changed over time and what access to opportunity looks like today.']
['eng']
[]
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Maps', 'Websites']
['Point data']
[]
['Economy', 'Health', 'Society', 'Structure']
[]
['2017']
2017
[2017]
[]
['United States']
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None
herop-culizk
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
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None
[]
['Unemployment rate (percentage of the population ages 16 and older who are not working but available for and seeking work)', 'Median household income (in 2010 dollars', 'Percentage of the population below the federal poverty level (the amount of pretax cash income considered adequate for an individual or family to meet basic needs)', '80/20 ratio (ratio of household income at the 80th percentile to that at the 20th percentile)', 'Number of banking institutions (commercial banks, savings institutions, and credit unions) per 10,000 residents', 'Percentage of households spending less than 30 percent of their income on housing-related costs', 'Percentage of households with subscriptions to broadband internet service', 'Percentage of 3- and 4-year-olds attending preschool', 'On-time high school graduation rate (percentage of freshmen who graduate in four years)', 'Percentage of adults ages 25 and older with an associate degree or higher', 'Percentage of infants born weighing less than 5.5 pounds', 'Deaths attributed to alcohol or drug poisoning or suicide (age-adjusted rate per 100,000 population)', 'Percentage of adults (ages 18 and older) who reported they volunteered during the previous year [national and state-level only]', 'Percentage of adults ages 18 and older who are registered to vote [national and state-level only]', ' Percentage of youth (ages 16–24) not in school and not working', 'Incidents of violent crime reported to law enforcement agencies (per 100,000 population)', 'Number of primary care physicians (per 100,000 population)', 'Number of grocery stores and produce vendors (per 10,000 population)', 'Number of people incarcerated in jail or prison (per 100,000 population 18 and older) [national and state-level only]']
[]
None
None
Opportunity Index 2018
[]
['Opportunity index provides a snapshot of conditions that can be used to identify and improve access to opportunity - in comprehensive terms - for residents and their communities. The data and full analysis online show how opportunity index scores have changed over time and what access to opportunity looks like today']
['eng']
[]
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Maps', 'Websites']
['Point data']
[]
['Economy', 'Health', 'Society', 'Structure']
[]
['2018']
2018
[2018]
[]
['United States']
MULTIPOLYGON (((-67.15 18.5, -67.16 18.49, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.47, -67.17 18.46, -67.16 18.45, -67.18 18.41, -67.19 18.4, -67.21 18.39, -67.24 18.38, -67.26 18.37, -67.26 18.37, -67.27 18.37, -67.27 18.36, -67.27 18.36, -67.27 18.35, -67.26 18.35, -67.25 18.32, -67.24 18.32, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.3, -67.23 18.3, -67.23 18.3, -67.22 18.3, -67.19 18.27, -67.17 18.23, -67.17 18.18, -67.17 18.18, -67.17 18.18, -67.18 18.17, -67.19 18.16, -67.19 18.14, -67.19 18.13, -67.2 18.09, -67.2 18.08, -67.2 18.08, -67.21 18.04, -67.21 17.99, -67.22 17.99, -67.21 17.96, -67.21 17.95, -67.19 17.93, -67.19 17.93, -67.18 17.93, -67.15 17.95, -67.13 17.95, -67.12 17.95, -67.11 17.95, -67.11 17.95, -67.1 17.95, -67.09 17.95, -67.08 17.96, -67.04 17.97, -67 17.96, -66.98 17.95, -66.96 17.93, -66.93 17.93, -66.93 17.93, -66.92 17.93, -66.92 17.93, -66.92 17.93, -66.88 17.95, -66.87 17.95, -66.87 17.95, -66.87 17.95, 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None
None
False
[]
[]
[]
[]
['herop-yumqkc']
[]
[]
['None']
['None']
['None']
Public
None
None
{'http://schema.org/url ': 'https://opportunityindex.org/', 'http://lccn.loc.gov/sh85035852': 'https://opportunityindex.org/request-data/'}
None
herop-yexnju
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['County', 'State']
[]
None
[]
['Unemployment rate (percentage of the population ages 16 and older who are not working and are seeking work and available to work)', 'Median household income (in 2010 dollars)', 'Percentage of the population below the federal poverty level', '80/20 ratio (ratio of household income at the 80th percentile to that at the 20th percentile)', 'Number of banking institutions (commercial banks, savings institutions, and credit unions) per 10,000 residents', 'Percentage of households spending less than 30 percent of their income on housing-related costs', 'Percentage of households with subscriptions to broadband internet service', 'Percentage of 3- and 4-year-olds attending preschool', 'On-time high school graduation rate (percentage of freshmen who graduate in four years)', 'Percentage of adults ages 25 and older with an associate degree or higher', 'Percentage of infants born weighing less than 5.5 pounds', 'Percentage of the population (under age 65) without health insurance coverage', 'Deaths attributed to alcohol or drug poisoning or suicide (age-adjusted rate per 100,000 population)', 'Percentage of adults (ages 18 and older) who reported volunteering during the previous year [national and state-level only]', 'Percentage of the population ages 18 and older who are registered to vote [national and state-level only]', 'Percentage of youth ages 16–24 not in school and not working', 'Incidents of violent crime reported to law enforcement agencies (per 100,000 population)', 'Number of primary care physicians (per 100,000 population)', 'Number of grocery stores and produce vendors (per 10,000 population)', 'Number of people incarcerated in jail or prison (per 100,000 population ages 15–64) [national and state-level only]']
[]
None
None
Opportunity Index 2019
[]
['Opportunity index provides a snapshot of conditions that can be used to identify and improve access to opportunity - in comprehensive terms - for residents and their communities. The data and full analysis online show how opportunity index scores have changed over time and what access to opportunity looks like today.']
['eng']
[]
['Child Trends and the Forum for Youth Investment’s Opportunity Nation campaign']
['Opportunity Nation, The Forum for Youth Investment, and Child Trends']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Maps', 'Websites']
['Point data']
[]
['Economy', 'Health', 'Society', 'Structure']
[]
['2019']
2019
[2019]
[]
['United States']
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herop-mgwgwg
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2025-04-03T14:01:19Z
SDOH PlaceProject
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None
[]
['Unemployment rate (percentage of the population ages 16 and older who are not working but available for and seeking work)', 'Median household income (in 2010 dollars)', 'Percentage of the population below the federal poverty level (the amount of pretax cash income considered adequate for an individual or family to meet basic needs)', '80/20 ratio (ratio of household income at the 80th percentile to that at the 20th percentile)', 'Number of banking institutions (commercial banks, savings institutions and credit unions) per 10,000 residents', 'Percentage of households spending less than 30 percent of their income on housing-related costs', 'Percentage of households with subscriptions to broadband internet service', 'Percentage of 3- and 4-year-olds attending preschool', 'On-time high school graduation rate (percentage of freshmen who graduate in four years)', 'Percentage of adults ages 25 and older with an associate degree or higher', 'Percentage of infants born weighing less than 5.5 pounds', 'Percentage of the population (under age 65) without health insurance coverage', 'Deaths attributed to alcohol or drug poisoning or suicide (age-adjusted rate per 100,000 population)', 'Percentage of adults (ages 18 and older) who reported they volunteered during the previous year [national and state-level only]', 'Percentage of adults ages 18 and older who are registered to vote [national and state-level only]', 'Percentage of youth (ages 16–24) not in school and not working', 'Incidents of violent crime reported to law enforcement agencies (per 100,000 population)', 'Number of primary care physicians (per 100,000 population)', 'Number of grocery stores and produce vendors (per 10,000 population)', 'Number of people incarcerated in jail or prison (per 100,000 population 18 and older) [national and state-level only]']
[]
None
None
PLACES: Local Data for Better Health
['PLACES: Local Data for Better Health']
['This dataset contains four levels (county, census tract, ZCTA, place) of social determinants of health (SDOH) measures from the American Community Survey 5-year data for the entire United States—50 states and the District of Columbia. Data were downloaded from data.census.gov using Census API and processed by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. These measures complement existing PLACES measures, including PLACES SDOH measures (e.g., health insurance, routine check-up). These data can be used together with PLACES data to identify which health and SDOH issues overlap in a community to help inform public health planning.']
['eng']
['Warning: Tract-level measures are downscaled, modeled predictions. Care should be take in interpretation at finer resolutions to ensure that variations in measures are due to change in measure of interest, and not due to the methodology generated to establish measure.']
['Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health']
['Centers for Disease Control and Prevention']
Centers for Disease Control and Prevention National Center for Chronic Disease Prevention and Health Promotion Division of Population Health
['Datasets']
['Census data']
['Health and Healthcare', 'Social and Community Context']
['Health', 'Society']
['SDOH', 'US Census']
['2017-2021']
10/31/2023
[2021]
[]
['United States']
MULTIPOLYGON (((-67.15 18.5, -67.16 18.49, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.47, -67.17 18.46, -67.16 18.45, -67.18 18.41, -67.19 18.4, -67.21 18.39, -67.24 18.38, -67.26 18.37, -67.26 18.37, -67.27 18.37, -67.27 18.36, -67.27 18.36, -67.27 18.35, -67.26 18.35, -67.25 18.32, -67.24 18.32, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.3, -67.23 18.3, -67.23 18.3, -67.22 18.3, -67.19 18.27, -67.17 18.23, -67.17 18.18, -67.17 18.18, -67.17 18.18, -67.18 18.17, -67.19 18.16, -67.19 18.14, -67.19 18.13, -67.2 18.09, -67.2 18.08, -67.2 18.08, -67.21 18.04, -67.21 17.99, -67.22 17.99, -67.21 17.96, -67.21 17.95, -67.19 17.93, -67.19 17.93, -67.18 17.93, -67.15 17.95, -67.13 17.95, -67.12 17.95, -67.11 17.95, -67.11 17.95, -67.1 17.95, -67.09 17.95, -67.08 17.96, -67.04 17.97, -67 17.96, -66.98 17.95, -66.96 17.93, -66.93 17.93, -66.93 17.93, -66.92 17.93, -66.92 17.93, -66.92 17.93, -66.88 17.95, -66.87 17.95, -66.87 17.95, -66.87 17.95, 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None
None
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[]
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[]
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[]
[]
['Public Domain']
Public
CSV
5.4 MB
{'http://schema.org/url': 'https://data.cdc.gov/browse?q=PLACES%3A%20Local%20Data%20for%20Better%20Health&sortBy=relevance', 'archive-url': 'https://uofi.box.com/s/eihxglpibrh2nrf7f3dgp6g9wy3xx9vk'}
None
herop-tvlxez
[]
2025-08-05T23:25:05Z
SDOH PlaceProject
False
['City', 'County', 'Census Tract', 'Zip Code Tabulation Area (ZCTA)']
['']
None
['Arthritis among adults', 'Current asthma among adults', 'High blood pressure among adults', 'Cancer (non-skin) or melanoma among adults', 'High cholesterol among adults who have ever been screened', 'Chronic kidney disease among adults', 'Chronic obstructive pulmonary disease among adults', 'Coronary heart disease among adults', 'Depression among adults', 'Diagnosed diabetes among adults', 'Obesity among adults', 'All teeth lost among adults aged ≥65 years', 'Stroke among adults', 'Lack of health insurance among adults aged 18–64 years', 'Routine checkup within the past year among adults', 'Visited dentist or dental clinic in the past year among adults', 'Taking medicine to control high blood pressure among adults with high blood pressure', 'Cholesterol screening among adults', 'Mammography use among women aged 50-74 years', 'Cervical cancer screening among women aged 21–65 years', 'Colorectal cancer screening among adults aged 45–75 years', 'Older adults aged ≥65 years who are up to date on a core set of clinical preventive services by sex', 'Binge drinking among adults', 'Current cigarette smoking among adults', 'No leisure-time physical activity among adults', 'Short sleep duration among adults', 'Frequent mental distress among adults', 'Frequent physical distress among adults', 'Fair or poor self-rated health status among adults', 'Disability measure definitions', 'Hearing disability among adults', 'Vision disability among adults', 'Cognitive disability among adults', 'Mobility disability among adults', 'Self-care disability among adults', 'Independent living disability among adults', 'Any disability among adults', 'Feeling socially isolated among adults', 'Received food stamps in the past 12 months among adults', 'Food insecurity in the past 12 months among adults', 'Housing insecurity in the past 12 months among adults', 'Utility services threat in the past 12 months among adults', 'Lack of reliable transportation in the past 12 months among adults', 'Lack of social and emotional support among adults', 'Persons aged ≥ 65 years', 'No broadband internet subscription among households', 'Crowding among housing units', 'Housing cost burden among households', 'No high school diploma among adults aged ≥ 25 years', 'Persons living below 150% of the poverty level', 'Persons of racial or ethnic minority status', 'Single-parent households', 'Unemployment among people ≥ 16 years in the labor force']
['Total population of census 2022 estimates', 'Total population 18 and plus of census 2022 estimates', 'Data Value', 'Low confidence limit', 'High confidence limit', 'Arthritis among adults', 'Current asthma among adults', 'High blood pressure among adults', 'Cancer (non-skin) or melanoma among adults', 'High cholesterol among adults who have ever been screened', 'Chronic kidney disease among adults', 'Chronic obstructive pulmonary disease among adults', 'Coronary heart disease among adults', 'Depression among adults', 'Diagnosed diabetes among adults', 'Obesity among adults', 'All teeth lost among adults aged ≥65 years', 'Stroke among adults', 'Lack of health insurance among adults aged 18–64 years', 'Routine checkup within the past year among adults', 'Visited dentist or dental clinic in the past year among adults', 'Taking medicine to control high blood pressure among adults with high blood pressure', 'Cholesterol screening among adults', 'Mammography use among women aged 50-74 years', 'Cervical cancer screening among women aged 21–65 years', 'Colorectal cancer screening among adults aged 45–75 years', 'Older adults aged ≥65 years who are up to date on a core set of clinical preventive services by sex', 'Binge drinking among adults', 'Current cigarette smoking among adults', 'No leisure-time physical activity among adults', 'Short sleep duration among adults', 'Frequent mental distress among adults', 'Frequent physical distress among adults', 'Fair or poor self-rated health status among adults', 'Disability measure definitions', 'Hearing disability among adults', 'Vision disability among adults', 'Cognitive disability among adults', 'Mobility disability among adults', 'Self-care disability among adults', 'Independent living disability among adults', 'Any disability among adults', 'Feeling socially isolated among adults', 'Received food stamps in the past 12 months among adults', 'Food insecurity in the past 12 months among adults', 'Housing insecurity in the past 12 months among adults', 'Utility services threat in the past 12 months among adults', 'Lack of reliable transportation in the past 12 months among adults', 'Lack of social and emotional support among adults', 'Persons aged ≥ 65 years', 'No broadband internet subscription among households', 'Crowding among housing units', 'Housing cost burden among households', 'No high school diploma among adults aged ≥ 25 years', 'Persons living below 150% of the poverty level', 'Persons of racial or ethnic minority status', 'Single-parent households', 'Unemployment among people ≥ 16 years in the labor force']
[]
Centers for Disease Control and Prevention. PLACES: Local Data for Better Health. Accessed [date]. https://www.cdc.gov/places
Because these are modeled and not direct estimates, the data should not be used for ranking the overall health of any county, place, census tract, or ZCTA. PLACES does not provide a weighted composite score for the included counties, places, census tracts, or ZCTAs. Therefore, the data should not be used to rank the overall health of a local area. However, counties, places, census tracts, or ZCTAs can be compared on individual measures.
Palmer Drought Severity Index
['CDC Palmer Drought Severity Index 1895-2016']
['The Palmer Drought Severity Index (PDSI) is a standardized index that uses readily available temperature and precipitation data to estimate relative dryness. It has been reasonably successful at quantifying long-term drought. As it uses temperature data and a physical water balance model, it can capture the basic effect of global warming on drought through changes in potential evapotranspiration. The dataset includes monthly values for every contiguous US county and the District of Columbia from 1895-2016. The dataset has been compiled to estimate wetness and dryness of a particular area. This is important for the agriculture as well as health sectors. The data can be used to examine local and national trends in drought information.']
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Neighborhood and Built Environment']
['Climate', 'Environment', 'Health']
['drought', 'environmental health', 'Toxicology']
['1895-2016']
2018-07-26
[2016]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
93.1 mb
{'http://schema.org/url': 'https://ephtracking.cdc.gov/DataExplorer/#/', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Palmer-Drought-Severity-Index-1895-2016/en5r-5ds4/data_preview', 'archive-url': 'https://uofi.app.box.com/folder/305406383348'}
None
herop-fhlnqe
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['County']
['050US17089', '050US17043', '050US17031', '050US17093', '050US17197']
None
['Total Number of Weeks a County Was in Drought (1980-present; SPEI)', 'Percent of Weeks a County Was in Drought (1980-present; SPEI)', 'Total Number of Weeks a County Was in Drought by Year (SPEI)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (SPEI)', 'Percent of Weeks a County Was in Drought by Year (SPEI)', 'Counties Currently Experiencing Drought (SPEI)', 'Total Number of Weeks a County Was in Drought (2000-present; USDM)', 'Percent of Weeks a County Was in Drought (2000-present; USDM)', 'Total Number of Weeks a County Was in Drought by Year (USDM)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (USDM)', 'Percent of Weeks a County Was in Drought by Year (USDM)', 'Counties Currently Experiencing Drought (USDM)']
['Year', 'Month', 'Total Number of Weeks a County Was in Drought (1980-present; SPEI)', 'Percent of Weeks a County Was in Drought (1980-present; SPEI)', 'Total Number of Weeks a County Was in Drought by Year (SPEI)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (SPEI)', 'Percent of Weeks a County Was in Drought by Year (SPEI)', 'Counties Currently Experiencing Drought (SPEI)', 'Total Number of Weeks a County Was in Drought (2000-present; USDM)', 'Percent of Weeks a County Was in Drought (2000-present; USDM)', 'Total Number of Weeks a County Was in Drought by Year (USDM)', 'Maximum Number of Consecutive Weeks a County Was in Drought by Year (USDM)', 'Percent of Weeks a County Was in Drought by Year (USDM)', 'Counties Currently Experiencing Drought (USDM)']
['Palmer Drought Severity Index (PDSI)']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. Accessed: 02/19/2025. www.cdc.gov/ephtracking.
Data were downloaded from the National Oceanic and Atmospheric Administration (NOAA) server and were originally provided as monthly values for a climate division (typically 5-10 divisions per state). Distance weighting functions were applied to constrain the drought values to a specific US county.
Park 10-min Walk Service Areas (ParkServe)
['ParkServe 10-minute walk service areas (10MWSA)']
["This is a dataset from the ParkServe national park database, covering over 15,000 cities and towns across the U.S. Park accessibility is analyzed by calculating ten-minute walk service areas for each park in its database by generating a half-mile ‘walkable’ service area from each park’s designated public access points. Utilizing ESRI's Proprietary StreetMap Premium Network dataset, the analysis accounts for physical barriers such as highways, train tracks, and rivers without bridges, ensuring a more accurate representation of pedestrian access."]
['eng']
['Info: ParkServe is partially crowdsourced and regularly updated. Only the most recent update is available for download at any given time, and data should be understood as incomplete. In communities with an exceptionally small number of block groups, 10-minute walk demographic calculations are not available. All calculated population statistics are based on 2023 US Census Block Group estimates provided by ESRI.', "Service areas are polygons calculated from the street network, and will cross multiple administrative boundaries. Read provider's documentation for more details."]
['Trust for Public Land']
['Trust for Public Land']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Polygon data']
['Neighborhood and Built Environment', 'Greenspaces']
['Society']
['Park accessibility', 'Service areas', 'Walkability', '10-minute walk', 'Parks']
['2023']
2024
[2023]
[]
['United States']
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None
None
False
[]
[]
['herop-fhfxqq']
[]
['herop-fhfxqq']
[]
[]
['"© 2024 The Trust for Public Land, 101 Montgomery Street, Suite 900, San Francisco, California 94104 U.S.A. All rights reserved. Other parties may hold or claim proprietary, trademark, service mark and copyright interests in material on or delivered from this website. Materials on this website may not be copied, reproduced, modified, published, uploaded, posted, transmitted, or distributed in any way, without the prior written consent of The Trust for Public Land and/or the party holding rights to such material. Notwithstanding the previous sentence, you may download one copy of the information on this website for personal, non-commercial use. If you download, you may not modify the materials, use them for a commercial purpose or for public display, remove any copyright or trademark information, transfer the materials to another person, or allow unauthorized copying of the materials."']
['Trust for Public Land']
[]
Public
Excel, Geodatabase, Shapefile, Geojson
None
{'http://schema.org/url': 'https://www.tpl.org/parkserve', 'http://schema.org/downloadUrl': 'https://www.tpl.org/park-data-downloads', 'http://lccn.loc.gov/sh85035852': 'https://10minutewalk.org/about-us/'}
None
herop-jxbloa
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['City', 'Other']
['150US*']
Service areas are polygons calculated from the street network, and will cross multiple administrative boundaries. Read provider's documentation for more details.
['Park location', 'Street network', 'Block-level race/ethnicity estimates', 'Block-level age estimates', 'Block-level per capita income estimates']
['A half-mile ‘walkable’ service area from each of the park’s public access points', 'Race/ethnicity estimates of intersecting blocks for each service area', 'Average age estimates of intersecting blocks for each service area', 'Average income estimate of intersecting blocks for each service area']
['10-min walk to nearest park']
ParkServe. (2023, May 24). Trust for Public Land. https://www.tpl.org/parkserve
The ParkServe dataset is designed for spatial analysis and GIS applications to evaluate urban park accessibility. While it provides geospatial files (e.g., shapefiles, GeoJSON, and other GIS-compatible formats), it may not include detailed attribute data such as park addresses, ownership details, or facility descriptions. Users should integrate it with additional datasets if such information is needed for analysis.
Parks (ParkServe)
[]
['This is a dataset from the ParkServe national park database, covering over 15,000 cities and towns across the U.S. Trust for Public land compiled the ParkServe database from 2016 to 2018. TPL contacted each city or town to request parks data, as well as searched for GIS parks data resources on municipal and regional open data websites. If no GIS data were available, they delineated park boundaries based on satellite imagery, and confirmed public access via city park websites or signage viewable through Google Street View. Cities and towns were given the opportunity to confirm their delineated boundaries. Today, there are about 145,000 parks in the ParkServe database. Parks data for the 100 largest cities are updated annually as part of the ParkScore Index, and parks data for all other places are updated on a monthly basis following TPL verification of public submissions via the ParkReviewer tool.']
['eng']
['Info: ParkServe is partially crowdsourced and regularly updated. Only the most recent update is available for download at any given time, and data should be understood as incomplete.']
['Trust for Public Land']
['Trust for Public Land']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Polygon data']
['Greenspaces']
['Land Cover', 'Society']
['Urban Environment', 'Park']
['2024']
2024
[2024]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-fhfxqq']
[]
[]
['"© 2024 The Trust for Public Land, 101 Montgomery Street, Suite 900, San Francisco, California 94104 U.S.A. All rights reserved. Other parties may hold or claim proprietary, trademark, service mark and copyright interests in material on or delivered from this website. Materials on this website may not be copied, reproduced, modified, published, uploaded, posted, transmitted, or distributed in any way, without the prior written consent of The Trust for Public Land and/or the party holding rights to such material. Notwithstanding the previous sentence, you may download one copy of the information on this website for personal, non-commercial use. If you download, you may not modify the materials, use them for a commercial purpose or for public display, remove any copyright or trademark information, transfer the materials to another person, or allow unauthorized copying of the materials."']
['Trust for Public Land']
[]
Public
None
None
{'http://schema.org/url': 'https://www.tpl.org/park-data-downloads', 'http://lccn.loc.gov/sh85035852': 'https://www.tpl.org/ParkServe/About'}
None
herop-dbsktp
[]
2025-06-16T15:27:20Z
SDOH PlaceProject
False
['Census Block Group', 'Zip Code Tabulation Area (ZCTA)']
['']
None
[]
['Park ID, Park name, Park designation, Park owner type, Park local owner, Park manager type, Park local manager, Park access, Park status, Park land acquisition, Park establishment date, Park size (acres), Park address, Park state, Park state FIPS, Park county, Park county FIPS, Park place, Park place FIPS, Park urban area, Park urban area ID, Park zipcode, Park boundary source, Data provider, Park date added, Total population within a 10-minute walk (2022), Total population < 20 years of age within a 10-minute walk (2022), Total population > 20 and < 65 years of age of within a 10-minute walk (2022), Total population > 64 years of age within a 10-minute walk (2022), Total number of low income households (<75% urban area median income) within a 10-minute walk (2022), Total number of middle income households (75% - 125% urban area median income) within a 10-minute walk (2022), Total number of high income households (>125% urban area median income) within a 10-minute walk (2022), Total White Non-Hispanic population within a 10-minute walk (2022), Total Black Non-Hispanic population within a 10-minute walk (2022), Total Native American Non-Hispanic population within a 10-minute walk (2022), Total Asian Non-Hispanic population within a 10-minute walk (2022), Total Pacific Islander Non-Hispanic population within a 10-minute walk (2022), Total population of 2 or more races (Non-Hispanic) within a 10-minute walk (2022), Total population of other races (Non-Hispanic) within a 10-minute walk (2022), Total Hispanic population within a 10-minute walk (2022)']
[]
Trust for Public Land. (2025). ParkServe [Database]. Land and People Lab. tpl.org/parkserve
None
Playgrounds (ParkServe)
['Playgrounds (ParkServe)']
['This is a dataset from the ParkServe national park database, covering over 15,000 cities and towns across the U.S. Crowd-sourced trails and playground data were retrieved from Open Street Map (OSM) in February of 2024 and clipped to ParkServe® park boundaries.']
['eng']
['Info: ParkServe is partially crowdsourced and regularly updated. Only the most recent update is available for download at any given time, and data should be understood as incomplete.']
['Trust for Public Land']
['Trust for Public Land']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Polygon data']
['Greenspaces']
['Structure']
['Urban Environment', 'Park']
['2024']
2024
[2024]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-fhfxqq']
[]
[]
['"© 2024 The Trust for Public Land, 101 Montgomery Street, Suite 900, San Francisco, California 94104 U.S.A. All rights reserved. Other parties may hold or claim proprietary, trademark, service mark and copyright interests in material on or delivered from this website. Materials on this website may not be copied, reproduced, modified, published, uploaded, posted, transmitted, or distributed in any way, without the prior written consent of The Trust for Public Land and/or the party holding rights to such material. Notwithstanding the previous sentence, you may download one copy of the information on this website for personal, non-commercial use. If you download, you may not modify the materials, use them for a commercial purpose or for public display, remove any copyright or trademark information, transfer the materials to another person, or allow unauthorized copying of the materials."']
['Trust for Public Land']
[]
Public
None
None
{'http://schema.org/url': 'https://www.tpl.org/park-data-downloads', 'http://lccn.loc.gov/sh85035852': 'https://parkserve.tpl.org/downloads/ParkServe_Documentation_2025.pdf'}
None
herop-yoizdf
[]
2025-06-16T15:38:06Z
SDOH PlaceProject
False
['Census Block Group']
['']
None
[]
['OSM ID, Code, Class, Name, Shape length, Shape area']
[]
Trust for Public Land. (2025). ParkServe [Database]. Land and People Lab. tpl.org/parkserve
None
Priority Areas (ParkServe)
[]
['This is a dataset from the ParkServe national park database, covering over 15,000 cities and towns across the U.S. To help planners prioritize where to address park access gaps first, Trust for Public Land provides a prioritization index for all populated areas that are not within a 10-minute walk to a park. The prioritization index is calculated for census block groups and is based on a comprehensive index of six equally weighted demographic and environmental metrics. The six variables are: 1. Population density 2. Density of low-income households... 3. Density of people of color 4. Community health... 5. Urban heat islands... 6. Pollution burden"']
['eng']
['Info: ParkServe is partially crowdsourced and regularly updated. Only the most recent update is available for download at any given time, and data should be understood as incomplete.']
['Trust for Public Land']
['Trust for Public Land']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Polygon data']
['Greenspaces']
['Society']
['Urban Environment', 'Park']
['2024']
2024
[2024]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-fhfxqq']
[]
[]
['"© 2024 The Trust for Public Land, 101 Montgomery Street, Suite 900, San Francisco, California 94104 U.S.A. All rights reserved. Other parties may hold or claim proprietary, trademark, service mark and copyright interests in material on or delivered from this website. Materials on this website may not be copied, reproduced, modified, published, uploaded, posted, transmitted, or distributed in any way, without the prior written consent of The Trust for Public Land and/or the party holding rights to such material. Notwithstanding the previous sentence, you may download one copy of the information on this website for personal, non-commercial use. If you download, you may not modify the materials, use them for a commercial purpose or for public display, remove any copyright or trademark information, transfer the materials to another person, or allow unauthorized copying of the materials."']
['Trust for Public Land']
[]
Public
None
None
{'http://schema.org/url': 'https://www.tpl.org/park-data-downloads', 'http://lccn.loc.gov/sh85035852': 'https://parkserve.tpl.org/downloads/ParkServe_Documentation_2025.pdf'}
None
herop-cdyuaj
[]
2025-06-16T15:41:22Z
SDOH PlaceProject
False
['Census Tract', 'Census Block Group']
['']
None
['ID, Population per acre, Urban area ID, Rate of physical inactivity, Rate of poor mental health, Respiratory hazard, Density of low-income households, Density of people of color, ID of the city, Low-income households (%), People of color (%), People per acre rank, Physical inactivity rank, Poor mental health rank, Average land surface temperature rank, Respiratory hazard rank, Density of people of color rank, People of color (%) rank, Low-income households (%) rank, Density of low-income households rank, Average of physical inactivity rank and poor mental health rank, Urban heat island anomaly']
['Park priority, Park priority rank, Outside 10 minute walk service area']
[]
Trust for Public Land. (2025). ParkServe [Database]. Land and People Lab. tpl.org/parkserve
See related datasets of the ParkServe database for more information and understanding of the underlying data generating process.
Public Transit Stops (NaNDA)
['NaNDA Public Transit Stops by Census Tract and ZIP Code Tabulation Area, United States, 2016-2018']
['This study includes the number of public transit stops per United States census tract or ZIP code tabulation area (ZCTA) based on data from the National Transit Map (NTM). Each observation represents the count and density (per capita and square mile) of transit stops within a census tract or ZIP code tabulation area (ZCTA), as voluntarily reported to NTM between 2016 and 2018 by one of 270 regional transit agencies choosing to participate.']
['eng']
[]
['Philippa Clarke', 'Robert Melendez', 'Mao Li', 'Anam Khan', 'Iris Gomez-Lopez', 'Megan Chenoweth']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Polygon data']
['Transportation and Infrastructure']
['Location', 'Transportation']
['census tract level', 'environment', 'geography', 'public transportation', 'spatial data']
['2016-2018']
2023-01-04
[2016, 2017, 2018]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
tsv
2.9
{'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38605.v1'}
None
herop-htqlca
['doi.org/10.3886/ICPSR38605.v1']
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Tract', 'Zip Code Tabulation Area (ZCTA)']
[]
None
['Census tract level', 'Public transportation', 'Environment', 'Geography', 'Spatial Data']
['Census 2010 Tract FIPS Code', 'Census Tract 2020 FIPS Code', 'Census Zip Code Tabulation Area 2020 FIPS Code', 'Census land area, square miles', 'Census tract area (sq. miles)', 'Count of transit stops reported to National Transit Map as of 1/2024', 'Count of transit stops reported to National Transit Map as of 2018', 'Total population', 'Transit stops per 1000 people', 'Transit stops per square mile', 'Zip Code Tabulation Area, square miles']
[]
Clarke, Philippa, and Melendez, Robert. National Neighborhood Data Archive (NaNDA): Public Transit Stops by Census Tract, United States, 2016-2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-09. https://doi.org/10.3886/E111109V1
The purpose this study is to measure the number of public transit stops per United States census tract or ZIP code tabulation area (ZCTA) based on data from the National Transit Map (NTM).
Smart Location Database
['None']
['EPA developed three data products(Smart Location Database, Access to Jobs and Workers Via Transit Tool, and National Walkability Index) that consistently measure the built environment and transit accessibility of neighborhoods across metropolitan regions and the United States. Users can download data, browse the data in interactive maps, or access the data through web services. Smart Location Database summarizes more than 90 different indicators associated with the built environment and location efficiency. Indicators include density of development, diversity of land use, street network design, and accessibility to destinations as well as various demographic and employment statistics. Most attributes are available for all U.S. block groups.']
['eng']
[]
['U.S. Environmental Protection Agency, Office of Sustainable Communities']
['U.S. Environmental Protection Agency']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Census data', 'Polygon data']
['Demographics', 'Employment', 'Housing', 'Neighborhood and Built Environment']
['Environment', 'Location', 'Society', 'Transportation']
['Transportation', 'Walkability', 'Transit', 'Access', 'Design', 'Diversity', 'Density', 'Employment', 'Demographics']
['2021']
2021
[2021]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
['None']
['None']
[]
Public
Geodatabase
527 mb
{'http://schema.org/downloadUrl': 'https://www.epa.gov/smartgrowth/smart-location-mapping#Trans45', 'http://lccn.loc.gov/sh85035852': 'https://www.epa.gov/system/files/documents/2023-10/epa_sld_3.0_technicaldocumentationuserguide_may2021_0.pdf', 'archive-url': 'https://uofi.app.box.com/folder/305406383348'}
None
herop-ppvuzl
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Block Group']
[]
None
[]
['Name of CBSA in which CBG resides', 'Total population in CBSA', 'Total employment in CBSA', 'Total number of workers that live in CBSA', 'Total geometric area (acres) of the CBG', 'Total water area (acres)', 'Total land area (acres)', 'Total land area (acres) that is not protected from development (i.e., not a park, natural area or conservation area)', 'Population, 2018', 'Housing units, 2018', 'Households (occupied housing units), 2018', 'Percent of population that is working aged 18 to 64 years, 2018', 'Number of households in CBG that own zero automobiles, 2018', 'Percent of zero-car households in CBG, 2018', 'Number of households in CBG that own one automobile,', 'Percent of one-car households in CBG, 2018', 'Number of households in CBG that own two or more automobiles, 2018', 'Percent of two-plus-car households in CBG, 2018', 'Count of workers in CBG (home location), 2017', 'Count of workers earning $1250/month or less (home location), 2017', 'Count of workers earning more than $1250/month but less than $3333/month (home location), 2017', 'Count of workers earning $3333/month or more (home location), 2017', 'Percent of low wage workers in a CBG (home location),2017', 'Total employment, 2017', 'Retail jobs within a 5-tier employment classification scheme (LEHD: CNS07), 2017', 'Office jobs within a 5-tier employment classification scheme (LEHD: CNS09 + CNS10 + CNS11 + CNS13 + CNS20) , 2017', 'Industrial jobs within a 5-tier employment classification scheme (LEHD: CNS01 + CNS02 + CNS03 + CNS04 + CNS05 + CNS06 + CNS08) , 2017', 'Service jobs within a 5-tier employment classification scheme (LEHD: CNS12 + CNS14 + CNS15 + CNS16 + CNS19) , 2017', 'Entertainment jobs within a 5-tier employment classification scheme (LEHD: CNS17 + CNS18), 2017', 'Retail jobs within an 8-tier employment classification scheme (LEHD: CNS07), 2017', 'Office jobs within an 8-tier employment classification scheme (LEHD: CNS09 + CNS10 + CNS11 + CNS13) ,2017', 'Industrial jobs within an 8-tier employment classification scheme (LEHD: CNS01 + CNS02 + CNS03 + CNS04 + CNS05 + CNS06 + CNS08) , 2017', 'Industrial jobs within an 8-tier employment classification scheme (LEHD: CNS01 + CNS02 + CNS03 + CNS04 + CNS05 + CNS06 + CNS08) , 2017', 'Service jobs within an 8-tier employment classification scheme (LEHD: CNS12 + CNS14 + CNS19) , 2017', 'Entertainment jobs within an 8-tier employment classification scheme (LEHD: CNS17 + CNS18), 2017', 'Education jobs within an 8-tier employment classification scheme (LEHD: CNS15), 2017', 'Health care jobs within an 8-tier employment classification scheme (LEHD: CNS16), 2017', 'Public administration jobs within an 8-tier employment classification scheme (LEHD: CNS20), 2017', 'Number of workers earning $1250/month or less (work location), 2017', 'Number of workers earning more than $1250/month but less than $3333/month (work location), 2017', 'Number of workers earning $3333/month or more (work location), 2017)', 'Percent LowWageWk of total #workers in a CBG (work location), 2017', 'Gross residential density (HU/acre) on unprotected land', 'Gross population density (people/acre) on unprotected land', 'Gross employment density (jobs/acre) on unprotected land', 'Gross retail (5-tier) employment density (jobs/acre) on unprotected land', 'Gross office (5-tier) employment density (jobs/acre) on unprotected land', 'Gross industrial (5-tier) employment density (jobs/acre) on unprotected land', 'Gross service (5-tier) employment density (jobs/acre) on unprotected land', 'Gross entertainment (5-tier) employment density (jobs/acre) on unprotected land', 'Gross retail (8-tier) employment density (jobs/acre) on unprotected land', 'Gross office (8-tier) employment density (jobs/acre) on unprotected land', 'Gross industrial (8-tier) employment density (jobs/acre) on unprotected land', 'Gross service (8-tier) employment density (jobs/acre) on unprotected land', 'Gross entertainment (8-tier) employment density (jobs/acre) on unprotected land', 'Gross education(8-tier) employment density (jobs/acre) on unprotected land', 'Gross health care (8-tier) employment density (jobs/acre) on unprotected land', 'Gross retail (8-tier) employment density (jobs/acre) on unprotected land', 'Gross activity density (employment + HUs) on unprotected land', 'Flag indicating that density metrics are based on total CBG land acreage rather than unprotected acreage', 'Jobs per household', 'Trip productions and trip attractions equilibrium index; the closer to one, the more balanced the trip making', 'Regional Diversity. Standard calculation based on population and total employment: Deviation of CBG ratio of jobs/pop from the regional average ratio of jobs/pop', 'Household Workers per Job, as compared to the region: Deviation of CBG ratio of household workers/job from regional average ratio of household workers/job', 'Household Workers per Job, by CBG', 'Household Workers per Job Equilibrium Index; the closer to one the more balanced the resident workers and jobs in the CBG', 'Total road network density', 'Network density in terms of facility miles of auto-oriented links per square mile', 'Network density in terms of facility miles of multi-modal links per square mile', 'Network density in terms of facility miles of pedestrian oriented links per square mile', 'Intersection density in terms of auto-oriented intersections per square mile', 'Intersection density in terms of multi-modal intersections having three legs per square mile', 'Intersection density in terms of multi-modal intersections having four or more legs per square mile', 'Intersection density in terms of pedestrian-oriented intersections having three legs per square mile', 'Intersection density in terms of pedestrian-oriented intersections having four or more legs per square mile', 'Proportion of CBG employment within ¼ mile of fixedguideway transit stop', 'Proportion of CBG employment within ½ mile of fixedguideway transit stop', 'D4c- Aggregate frequency of transit service within 0.25 miles of CBG boundary per hour during evening peak period', 'Aggregate frequency of transit service [D4c] per square mile', 'Aggregate frequency of transit service [D4c] per capita', 'Jobs within 45 minutes auto travel time, time- decay (network travel time) weighted', 'Working age population within 45 minutes auto travel time, time-decay (network travel time) weighted', 'Jobs within 45-minute transit commute, distance decay (walk network travel time, GTFS schedules) weighted', 'Working age population within 45-minute transit commute, time decay (walk network travel time, GTFS schedules) weighted', 'D5cr- Proportional Accessibility to Regional Destinations -Auto: Employment accessibility expressed as a ratio of total CBSA accessibility', 'Regional Centrality Index – Auto: CBG [D5cr] scorerelative to max CBSA [D5cr] score', 'D5ce- Proportional Accessibility to Regional Destinations -Auto: Working age population accessibility expressed as a ratio of total CBSA accessibility', 'Regional Centrality Index – Auto: CBG [D5ce] score relative to max CBSA [D5ce] score', 'D5dr- Proportional Accessibility of Regional Destinations -Transit: Employment accessibility expressed as a ratio of total MSA accessibility', 'Regional Centrality Index – Transit: CBG [D5dr] score relative to max CBSA [D5dr] score', 'D5de - Proportional Accessibility of Regional Destinations -Transit: Working age population accessibility expressed as a ratio of total MSA accessibility', 'Regional Centrality Index – Transit: CBG [D5de] score relative to max CBSA [D5de] score', '5-tier employment entropy (denominator set to observed employment types in the CBG)', '5-tier employment entropy (denominator set to the static 5 employment types in the CBG)', '8-tier employment entropy (denominator set to observed employment types in the CBG)', 'Employment and Household entropy (based on vehicle trip production and trip attractions including all 5 employment categories)', 'Employment and Household Entropy calculations, based on trips production and trip attractions including 4 of the 5 employment categories (excluding industrial)', 'D4a- Distance from the population-weighted centroid to nearest transit stop (meters)', 'D3b- Street intersection density (weighted, auto-oriented intersections eliminated)', 'D2a_EpHHm- Employment and household entropy', 'D2b_E8MixA- 8-tier employment entropy (denominator set to the static 8 employment types in the CBG)', 'Quantile ranked order (1-20) of [D2a_EpHHm] from lowest to highest- D2A_Ranked', 'Quantile ranked order (1-20) of [D2b_E8MixA] from lowest to highest-D2B_Ranked', 'Quantile ranked order (1-20) of [D3b] from lowest to highest- D3B_Ranked', 'Quantile ranked order (1,13-20) of [D4a] from lowest to highest- D4A_Ranked', '[D2b_E8MixA] (D2B_Ranked), [D3b] (D3B_Ranked)', 'and [D4a] (D4A_Ranked)']
[]
None
The Smart Location Database summarizes more than 90 different indicators associated with the built environment and location efficiency. The Access to Jobs and Workers Via Transit Tool provides indicators of accessibility to destinations by public transit.The National Walkability Index provides walkability scores based on a simple formula that ranks selected indicators from the Smart Location Database that have been demonstrated to affect the propensity of walk trips.
Social Vulnerability Index
['CDC Social Vulnerability Index', 'ATSDR Social Vulnerability Index']
['Social vulnerability refers to the potential negative effects on communities caused by external stresses on human health. Such stresses include natural or human-caused disasters, or disease outbreaks. Reducing social vulnerability can decrease both human suffering and economic loss.']
['eng']
[]
['Agency for Toxic Substances and Disease Registry (ATSDR)/Geospatial Research, Analysis, and Services Program (GRASP)']
['Centers for Disease Control and Prevention']
Healthy Regions + Policies Lab
['Datasets']
[]
['Economic Stability', 'Housing', 'Social and Community Context', 'Transportation and Infrastructure', 'Composite Index']
[]
['Vulnerability', 'Health Equity', 'US Census', 'Environmental Justice', 'SDOH']
['2000-2022']
None
[2000, 2010, 2014, 2016, 2018, 2020, 2022]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
None
None
{'http://schema.org/url': 'https://www.atsdr.cdc.gov/place-health/php/svi/svi-data-documentation-download.html', 'archive-url': 'https://uofi.box.com/s/rt0gk2shggw6hrxikcqp3ui5h2eatswj'}
None
herop-bnyqwn
[]
2025-08-05T23:18:57Z
SDOH PlaceProject
False
['County', 'Census Tract']
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None
['Below 150% Poverty', 'Unemployed', 'Housing Cost Burden', 'No High School Diploma', 'No Health Insurance', 'Aged 65 & Older', 'Aged 17 & Younger', 'Civilian with a Disability', 'Single-Parent Households', 'English Language Proficiency', 'Hispanic or Latino (of any race)', 'Black and African American', 'Not Hispanic or Latino', 'American Indian and Alaska Native', 'Not Hispanic or Latino', 'Asian, Not Hispanic or Latino', 'Native Hawaiian and Other Pacific Islander', 'Not Hispanic or Latino', 'Two or More Races, Not Hispanic or Latino', 'Other Races, Not Hispanic or Latino', 'Multi-Unit Structures', 'Mobile Homes', 'Crowding', 'No Vehicle', 'Group Quarters']
['Population estimate, 2016-2020 ACS', 'Population estimate MOE, 2016-2020 ACS', 'Housing units estimate, 2016-2020 ACS', 'Housing units estimate MOE, 2016-2020 ACS', 'Households estimate, 2016-2020 ACS', 'Households estimate MOE, 2016-2020 ACS', 'Persons below 150% poverty estimate, 2016-2020 ACS', 'Persons below 150% poverty estimate MOE, 2016-2020 ACS', 'Civilian (age 16+), unemployed estimate, 2016-2020 ACS', 'Civilian (age 16+), unemployed estimate MOE, 2016-2020 ACS', 'Housing cost-burdened occupied housing units with annual income less than $75, 000 (30%+ of income spent on housing costs), estimate, 2016-2020 ACS', 'Housing cost-burdened occupied housing units with annual income less than $75, 000 (30%+ of income spent on housing costs), estimate MOE, 2016-2020 ACS', 'Persons (age 25+), with no high school diploma estimate, 2016-2020 ACS', 'Persons (age 25+), with no high school diploma estimate MOE, 2016-2020 ACS', 'Uninsured in the total civilian noninstitutionalized population estimate, 2016-2020 ACS', 'Uninsured in the total civilian noninstitutionalized population estimate MOE, 2016-2020 ACS', 'Persons aged 65 and older estimate, 2016-2020 ACS', 'Persons aged 65 and older estimate MOE, 2016-2020 ACS', 'Persons aged 17 and younger estimate, 2016-2020 ACS', 'Persons aged 17 and younger estimate MOE, 2016-2020 ACS', 'Civilian noninstitutionalized population with a disability estimate, 2016-2020 ACS', 'Civilian noninstitutionalized population with a disability estimate MOE, 2016-2020 ACS', 'Single-parent household with children under 18 estimate, 2016-2020 ACS', 'Single-parent household with children under 18 estimate MOE, 2016-2020 ACS', 'Persons (age 5+), who speak English "less than well" estimate, 2016-2020 ACS', 'Persons (age 5+), who speak English "less than well" estimate MOE, 2016-2020 ACS', 'Minority estimate, 2016-2020 ACS', 'Minority estimate MOE, 2016-2020 ACS', 'Housing in structures with 10 or more units estimate, 2016-2020 ACS', 'Housing in structures with 10 or more units estimate MOE, 2016-2020 ACS', 'Mobile homes estimate, 2016-2020 ACS', 'Percentage of persons below 150% poverty estimate', 'Unemployment Rate estimate', 'Percentage of persons aged 17 and younger estimate MOE, 2016-2020 ACS']
['Social Vulnerability Index']
United States. Agency for Toxic Substances and Disease Registry. Geospatial Research, Analysis & Services Program: (2024). CDC/ATSDR Social Vulnerability Index (CDC/ATSDR SVI)
None
Socioeconomic Status & Demographic Characteristics (NaNDA)
['NaNDA Socioeconomic Status and Demographic Characteristics of Census Tracts and ZIP Code Tabulation Areas, United States, 2000-2020']
['These datasets contain measures of socioeconomic and demographic characteristics by US census tract for the years 2000-2020 and ZIP code tabulation area (ZCTA) for the years 2008-2020. Example measures include population density; population distribution by race, ethnicity, age, and income; income inequality by race and ethnicity; and proportion of population living below the poverty level, receiving public assistance, and female-headed or single parent families with kids. The datasets also contain a set of theoretically derived measures capturing neighborhood socioeconomic disadvantage and affluence, as well as a neighborhood index of Hispanic, foreign born, and limited English.']
['eng']
[]
['Philippa Clarke', 'Grace Noppert', 'Robert Melendez', 'Megan Chenoweth', 'Lindsay Gypin']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Polygon data']
['Demographics', 'Economic Stability', 'Employment', 'Social and Community Context']
['Economy', 'Society']
['census', 'neighborhoods', 'socioeconomic status']
['2000-2020']
2022-09-15
[2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
None
None
{'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38528.v3'}
None
herop-zemals
['https://doi.org/10.3886/ICPSR38528.v3']
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Tract', 'Zip Code Tabulation Area (ZCTA)']
[]
None
['Affluence', 'Census', 'Demographic Characteristics', 'Neighborhoods', 'Poverty', 'Socioeconomic Status', 'Unemployment', 'Female-Headed Families', 'Households Receiving Public Assistance Income', 'Concentrations of Adults with a College Education', 'Incomes over $75K', 'Employed in Managerial and Professional Occupations', 'Ethnic and Immigrant Concentration']
['Affluence', 'Disadvantage', 'Ethnic Immigrant', 'Total population', 'Census Tract FIPS code', 'Persons per square mile', 'Proportion of population (under 18)', 'Proportion of Population (18-29)', 'Proportion of Population (30-39)', 'Proportion of Population (40-49)', 'Proportion of Population (50-69)', 'Proportion of Population (70+)', 'Proportion with less than High School Diploma', 'Proportion of people of Hispanic origin', 'Proportion of people Non-Hispanic White', 'Proportion of people Non-Hispanic Black', 'Proportion of people who are foreign born', 'Proportion with High School Diploma and/or Some College', "Proportion with Bachelor's Degree or Higher", 'Proportion of households with Income less than 15K', 'Proportion of households with Income 15K-30K', 'Proportion of households with Income 30K-50K', 'Proportion of households with Income 50K-100K', 'Proportion of households with Income greater than 100K', 'Proportion of families with Income greater than 100K', 'Proportion of households with Income greater than 75K', 'Proportion of families with Income greater than 75K', 'Proportion of People 15+ Never Married', 'Proportion 16+ civ labor force unemployed', 'Proportion emplyd civ 16+ mngmnt/prof occup.', 'Proportion people w/ income past 12 months below poverty level', 'Percentage of households with public assistance income', 'Proportion single female-headed families w/ kids', 'Proportion of owner occupied housing units']
[]
Clarke, Philippa, Noppert, Grace, Melendez, Robert, Chenoweth, Megan, and Gypin, Lindsay. National Neighborhood Data Archive (NaNDA): Socioeconomic Status and Demographic Characteristics of Census Tracts and ZIP Code Tabulation Areas, United States, 2000-2020. Inter-university Consortium for Political and Social Research [distributor], 2023-04-17. https://doi.org/10.3886/ICPSR38528.v3
These datasets were created to measure the socioeconomic and demographic characteristics by US census tract for the years 2000-2020 and ZIP code tabulation area (ZCTA) for the years 2008-2020. Users should be aware that ZCTAs are not equivalent to ZIP codes. ZIP codes are linear mail delivery routes created by the US Postal Service. ZIP code tabulation areas are spatial features consisting of census blocks grouped by the predominant ZIP code found on the block (United States Census Bureau, 2020).
Standardized Precipitation Evapotranspiration Index
['CDC Standardized Precipitation Evapotranspiration Index 1895-2016']
['The Standardized Precipitation Evapotranspiration Index (SPEI) is an extension of the widely used Standardized Precipitation Index (SPI). The SPEI is designed to take into account both precipitation and potential evapotranspiration (PET) in determining drought. Thus, unlike the SPI, the SPEI captures the main impact of increased temperatures on water demand. Like the SPI, the SPEI can be calculated on a range of timescales from 1-48 months. At longer timescales (>~18 months), the SPEI has been shown to correlate with the self-calibrating PDSI (sc-PDSI). If only limited data are available, such as temperature and precipitation, PET can be estimated with the simple Thornthwaite method. In this simplified approach, variables that can affect PET such as wind speed, surface humidity and solar radiation are not accounted for. The dataset includes one-month SPEI values for every contiguous US county and the District of Columbia monthly from 1895-2016. The dataset has been compiled to estimate wetness and dryness of a particular area. This is important for the agriculture as well as health sectors. The data can be used to examine local and national trends in drought information.']
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Health and Healthcare', 'Natural Environment', 'Neighborhood and Built Environment', 'Safety']
['Climate', 'Environment', 'Health']
['drought', 'environmental health', 'Toxicology']
['1895-2016']
2018-06-20
[2016]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV
93.1 mb
{'http://schema.org/url': 'https://ephtracking.cdc.gov/DataExplorer/#/', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Standardized-Precipitation-Evapotranspiration-Inde/6nbv-ifib/data_preview'}
None
herop-bllwns
[]
2025-06-16T16:00:39Z
SDOH PlaceProject
False
['County']
['']
None
['Monthly Projected Average Heat Wave Intensity', 'Monthly Projected Maximum Temperature during a Heat Wave', 'Monthly Projected Maximum Minimum (Nightly) Temperature during a Heat Wave', 'Monthly Projected Average Heat Wave Count', 'Monthly Projected Average Heat Wave Duration', 'Climate Prediction Center (CPC) Monthly Temperature Forecast Category', 'Monthly Projected Number of Heat Exceedance Days', 'Weekly Average Maximum Temperature', 'Annual Number of Extreme Precipitation Days', 'Monthly Average of Daily Total Precipitation', 'Projected Difference in Extreme Precipitation Days as Compared to the Historical Period', 'Projected Difference in Maximum Precipitation During an Extreme Event as Compared to the Historical Period']
['year', 'month']
['Standard Precipitation Evapotranspiration Index (SPEI)']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. www.cdc.gov/ephtracking.
None
Standardized Precipitation Index
['CDC Standardized Precipitation Index 1895-2016']
['The Standardized Precipitation Index (SPI) is a widely used index to characterize meteorological drought on a range of timescales. On short timescales, the SPI is closely related to soil moisture, while at longer timescales, the SPI can be related to groundwater and reservoir storage. The SPI can be compared across regions with markedly different climates. It quantifies observed precipitation as a standardized departure from a selected probability distribution function that models the raw precipitation data. The raw precipitation data are typically fitted to a gamma or a Pearson Type III distribution and then transformed to a normal distribution. The SPI values can be interpreted as the number of standard deviations by which the observed anomaly deviates from the long-term mean. The SPI can be created for differing periods of 1-to-36 months using monthly input data. For the operational community, the SPI has been recognized as the standard index that should be available worldwide for quantifying and reporting meteorological drought. The dataset includes one-month SPI values for every contiguous US county and the District of Columbia monthly from 1895-2016. The dataset has been compiled to estimate wetness and dryness of a particular area. This is important for the agriculture as well as health sectors. The data can be used to examine local and national trends in drought information.']
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Health and Healthcare', 'Neighborhood and Built Environment', 'Safety']
['Climate', 'Environment', 'Health']
['drought', 'environmental health', 'Toxicology']
['1895-2016']
2018-07-26
[2016]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
93.1 mb
{'http://schema.org/url': 'https://ephtracking.cdc.gov/DataExplorer/#/', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Standardized-Precipitation-Index-1895-2016/xbk2-5i4e/data_preview'}
None
herop-fsqjns
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['County']
[]
None
['Annual Number of Extreme Precipitation Days', 'Monthly Average of Daily Total Precipitation', 'Projected Difference in Extreme Precipitation Days as Compared to the Historical Period', 'Projected Difference in Maximum Precipitation During an Extreme Event as Compared to the Historical Period']
['year', 'month']
['Standard Precipitation Index (SPI)']
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. (n.d.) Web. www.cdc.gov/ephtracking.
None
Street Connectivity (NaNDA)
['NaNDA Street Connectivity by ZIP Code Tabulation Area, United States, 2010']
['This dataset contains measures of street connectivity (how well streets connect with one another) within all United States ZIP code tabulation areas (ZCTAs). This includes measures of the number of street segments (links) and intersections (nodes) per ZCTA, street length within ZCTA, and indices representing overall connectivity within the ZCTA.']
['eng']
[]
['University of Michigan. Institute for Social Research']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data']
['Neighborhood and Built Environment']
['Structure', 'Transportation']
['Connectivity', 'Urban', 'Street Data']
['2010']
None
[2010]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
csv | dta
1.8 MB
{}
None
herop-kgnhrw
['doi.org/10.3886/ICPSR38580.v2']
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Zip Code Tabulation Area (ZCTA)']
[]
None
['links, street lengths, nodes, endpoints of links, Buffers, areas over which to calculate street connectivity, Circuits, connected path along streets']
['block density, block length, streets, nodes, zcta, n_streets , n_nodes, n_realnodes, zcta_area_sqmiles, sum_strintlen, n_blocks, linkNodeRatio, Alpha index ratio of actual circuits to maximum circuits, Gamma index ratio of total links fully in the ZCTA to the maximum possible number of', 'links in the ZCTA']
[]
Ailshire, Jennifer, Melendez, Robert, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Street Connectivity by ZIP Code Tabulation Area, United States, 2010. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-03-10. https://doi.org/10.3886/E134561V1
This dataset contains measures of street connectivity (how well streets connect) within United States ZIP code tabulation areas (ZCTAs). This includes measures of the number of street segments (links) and intersections (nodes) per ZCTA, street length within ZCTAs, and indices representing overall connectivity within the ZCTA.
Structural Racism and Discrimination Index
['SRD Index']
['The index assigns a national and a state score to each county by combining indicators of racial discrimination against Black communities across five key dimensions: residential segregation, housing, income, healthcare, and the criminal justice system.']
['eng']
[]
['Dr. Debarchana (Debs) Ghosh', 'Sabina Bhandari', 'Dr. Cheryl Knott']
['University of Connecticut', 'University of Maryland']
None
['Datasets', 'Websites']
['Census data', 'Table data']
['Demographics', 'Economic Stability', 'Health and Healthcare', 'Housing', 'Safety', 'Social and Community Context', 'Composite Index']
[]
['Structural Racism', 'Discrimination', 'SRI Index', 'Residential Segregation', 'Housing', 'Income', 'Healthcare Resources', 'Crime and Incarceration']
[]
None
[1990, 2000, 2010, 2020]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
None
None
{'http://schema.org/url': 'https://structuralracism.research.uconn.edu'}
None
herop-pnlslp
[]
2025-07-23T23:15:59Z
SDOH PlaceProject
False
['County', 'State', 'Other']
['']
None
['Racial Concentration', 'Racial Diversity', 'Home-Mortgage Loan Denial Gap', 'Home Ownership Gap', 'Median Household Income Gap', 'Unemployment Gap', 'Below-Poverty Gap', 'Primary Care', 'Mental Health Care', 'Dental Health Care', 'Health Uninsurance Gap', 'Violent Crime Arrests Gap', 'Property Crime Arrests Gap', 'Incarceration Gap', 'Homicide Fatalities Gap', 'Firearm Fatalities Gap']
['2-Digit FIPS Code', '5-Digit FIPS Code', 'County Name', 'State/Territory Name', 'Rural-Urban Continuum Code (RUCC)', 'Year', 'Number of Black population', 'Number of White population', 'Percentage of Black population', 'Percentage of White population', 'Index of Concentration at the Extremes for Race', 'Entropy', 'Gap in Loan Non-Origination between Black/African American & White applicants', 'Gap in Homeowership between Black/African American & White populations', 'Gap in Median Household Income between Black/African American & White populations', 'Gap in Unemployment between Black/African American & White populations', 'Gap in Below Poverty Rate between Black/African American & White populations', 'Rate of total Primary Care Providers per 100,000 populations (all races)', 'Rate of total Mental Health Care Providers per 100,000 populations (all races)', 'Rate of total Dental Health Care Providers per 100,000 populations (all races)', 'Gap in Uninsurance between Black/African American & White populations', 'Gap in Arrests for Violent Crime between Black/African American & White populations', 'Gap in Arrests for Property Crime between Black/African American & White populations', 'Gap in Incarceration Rates between Black/African American & White populations', 'Gap in Homicide-related Deaths between Black/African American & White populations', 'Gap in Firearm-related Deaths between Black/African American & White populations', 'National level z-score', 'National level composite z-score for Segregation Dimension', 'National-level composite z-score for Housing Dimension', 'National-level composite z-score for Income Dimension', 'National-level composite z-score for Healthcare Resources Dimension', 'National-level composite z-score for Crime and Incarceration Dimension', 'National-level overall composite z-score of all 5 dimensions', 'National-level score based on percentile ranking', 'State-leve z-score', 'State-level composite z-score', '1 = Metro - Counties in metro areas of 1 million population or more', '2 = Metro - Counties in metro areas of 250,000 to 1 million population', '3 = Metro - Counties in metro areas of fewer than 250,000 population', '4 = Nonmetro - Urban population of 20,000 or more, adjacent to a metro area', '5 = Nonmetro - Urban population of 20,000 or more, not adjacent to a metro area', '6 = Nonmetro - Urban population of 5,000 to 20,000, adjacent to a metro area', '7 = Nonmetro - Urban population of 5,000 to 20,000, not adjacent to a metro area', '8 = Nonmetro - Urban population of fewer than 5,000, adjacent to a metro area', '9 = Nonmetro - Urban population of fewer than 5,000, not adjacent to a metro area']
['SRD Score']
Debarchana Ghosh, Sabina Bhandari, and Cheryl Knott. A Measure for Place-Based Structural Racism and Discrimination Over Time: Version 1.0 SRD Index. 2025.
None
Traffic Volume (NaNDA)
['NaNDA Traffic Volume by Census Tract and ZIP Code Tabulation Area, United States, 1963-2019']
["This dataset contains measures of traffic volume per census tract and ZIP code tabulation area (ZCTA) in the United States from 1963 to 2019 (primarily 1997 to 2019). High traffic volume may be used as a proxy for heavy traffic, high traffic speeds, and impediments to walking or biking. The dataset contains measures of the average, maximum, and minimum traffic volume per year or per ZCTA per year. These figures are available for all streets, highways, and non-highways. In the ZCTA dataset, data is collected intermittently across locations over time, therefore traffic volume has been interpolated for years in which no measures are available. Data Source: Traffic volume measurements are derived from Kalibrate's TrafficMetrix database accessed via Esri Demographics. Census tract boundaries come from the 2010 TIGER/Line shapefiles. ZCTA boundaries come from the 2019 TIGER/Line shapefiles."]
['eng']
[]
['Jessica M. Finlay', 'Robert Melendez', 'Michael Esposito', 'Anam Khan', 'Mao Li', 'Iris Gomez-Lopez', 'Philippa Clarke', 'Megan Chenoweth']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Point data', 'Road maps', 'Table data']
['Neighborhood and Built Environment', 'Transportation and Infrastructure']
['Society', 'Structure', 'Transportation']
['census tract level', 'geography', 'neighborhood characteristics', 'traffic', 'transportation', 'walkability']
['1963-2019']
2022-11-07
[1963, 1964, 1965, 1966, 1967, 1968, 1969, 1970, 1971, 1972, 1973, 1974, 1975, 1976, 1977, 1978, 1979, 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
None
None
{'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38584.v2'}
None
herop-qmreas
['https://doi.org/10.3886/ICPSR38584.v2']
2025-04-09T16:34:49Z
SDOH PlaceProject
False
['Census Tract', 'Zip Code Tabulation Area (ZCTA)']
['']
None
['TrafficMetrix: average annual daily traffic, average annual weekday traffic, average daily traffic, latitude and longitude,ZCTA, average, maximum, minimum, and number of traffic volume measurements across all locations in a tract and ZCTA, highway traffic vs. non-highway traffic, ZIP code tabulation area, census tract, Cross-sectional']
['Number of highway traffic measurements in tract', 'Number of intersections in ZCTA', 'Number of intersections in tract', 'Number of non-highway traffic measurements in tract', 'Number of traffic measurements in tract', 'Average daily highway traffic per intersection', 'Average daily non-highway traffic per intersection', 'Average daily traffic per intersection', 'Census tract FIPS code', 'Flag for interpolated value', 'Highest average daily highway traffic count in tract', 'Highest average daily non-highway traffic count in tract', 'Highest average daily traffic count in tract', 'Interpolated: Number of highway traffic measurements in ZCTA', 'Interpolated: Number of non-highway traffic measurements in ZCTA', 'Interpolated: Number of traffic measurements in ZCTA', 'Interpolated: Highest average daily highway traffic count in ZCTA', 'Interpolated: Highest average daily non-highway traffic count in ZCTA', 'Interpolated: Highest average daily traffic count in ZCTA', 'Interpolated: Lowest average daily highway traffic count in ZCTA', 'Interpolated: Lowest average daily non-highway traffic count in ZCTA', 'Interpolated: Lowest average daily traffic count in ZCTA', 'Interpolated: Mean of average daily highway traffic counts in ZCTA', 'Interpolated: Mean of average daily non-highway traffic counts in ZCTA', 'Interpolated: Mean of average daily traffic counts in ZCTA', 'Interpolated: Sum of average daily highway traffic counts in ZCTA', 'Interpolated: Sum of average daily non-highway traffic counts in ZCTA', 'Interpolated: Sum of average daily traffic counts in ZCTA', 'Interpolated: Traffic count year', 'Interpolated: Avg daily traffic per intersection', 'Lowest average daily highway traffic count in tract', 'Lowest average daily non-highway traffic count in tract', 'Lowest average daily traffic count in tract', 'Mean of average daily highway traffic counts in tract', 'Mean of average daily non-highway traffic counts in tract', 'Mean of average daily traffic counts in tract', 'Sum of average daily highway traffic counts in tract', 'Sum of average daily non-highway traffic counts in tract', 'Sum of average daily traffic counts in tract', 'Traffic count year', 'ZIP code tabulation area']
[]
Finlay, Jessica M., Melendez, Robert, Esposito, Michael, Khan, Anam, Li, Mao, Gomez-Lopez, Iris, … Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Traffic Volume by Census Tract and ZIP Code Tabulation Area, United States, 1963-2019 . Inter-university Consortium for Political and Social Research [distributor], 2022-11-10. https://doi.org/10.3886/ICPSR38584.v2
The purpose of this study is to characterize the average volume of traffic passing through a census tract and a ZIP code tabulation area in a given year.
Trails (ParkServe)
[]
['This is a dataset from the ParkServe national park database, covering over 15,000 cities and towns across the U.S. Crowd-sourced trails and playground data were retrieved from Open Street Map (OSM) in February of 2024 and clipped to ParkServe® park boundaries. Trail data were augmented with USGS transportation trails data from April 2024.']
['eng']
['Info: ParkServe is partially crowdsourced and regularly updated. Only the most recent update is available for download at any given time, and data should be understood as incomplete.']
['Trust for Public Land']
['Trust for Public Land']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Line data']
['Greenspaces']
['Society', 'Structure']
['Urban Environment', 'Park']
['2024']
2024
[2024]
[]
['United States']
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None
None
False
[]
[]
[]
[]
['herop-fhfxqq']
[]
[]
['"© 2024 The Trust for Public Land, 101 Montgomery Street, Suite 900, San Francisco, California 94104 U.S.A. All rights reserved. Other parties may hold or claim proprietary, trademark, service mark and copyright interests in material on or delivered from this website. Materials on this website may not be copied, reproduced, modified, published, uploaded, posted, transmitted, or distributed in any way, without the prior written consent of The Trust for Public Land and/or the party holding rights to such material. Notwithstanding the previous sentence, you may download one copy of the information on this website for personal, non-commercial use. If you download, you may not modify the materials, use them for a commercial purpose or for public display, remove any copyright or trademark information, transfer the materials to another person, or allow unauthorized copying of the materials."']
['Trust for Public Land']
[]
Public
None
None
{'http://schema.org/url': 'https://www.tpl.org/park-data-downloads', 'http://lccn.loc.gov/sh85035852': 'https://www.tpl.org/ParkServe/About'}
None
herop-eqojtg
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Block Group']
[]
None
[]
['Permanent ID, Name, Trail number, Source feature, Source data, Source origin, Load date, Trail type, Hiker/pedestrian, Bicycle, Packsaddle, ATV, Motorcycle, OHV over 50in, Snowshoe, Cross count, Dogsled, Snowmobile, National trail, Global ID, OSM ID, Code, Class, Oneway, Max speed, Bridge, Tunnel, Length']
[]
None
None
Tree Canopy Cover
['Tree Canopy Cover']
['"NLCD tree canopy cover geospatial datasets with spatial resolutions of 30m are produced by the USDA Forest Service. Tree canopy cover is measured as percent tree canopy cover for 30m raster cells, and is derived from multi-spectral satellite imagery and other available ground and ancillary information. Tree canopy dataset for the period 2011-2021 are available for the conterminous United States, and coastal south east Alaska, Hawaii, Puerto Rico, and U.S. Virgin Islands."']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Collections']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2011-2021']
None
[2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]
[]
['United States, Puerto Rico, US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-qwqgwc
[]
2025-06-16T16:10:16Z
SDOH PlaceProject
False
['Other']
['']
30m resolution
[]
['Percent Tree Canopy Cover']
[]
U.S. Department of Agriculture, Forest Service. Tree Canopy Cover (TCC) v2021.4 Methods Document. 2021, https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf.
None
Tree Canopy Cover (Alaska 2011)
[]
['2011 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2011']
None
[2011]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3ATree%20Canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-hekhce
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2012)
[]
['2012 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2012']
None
[2012]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-idazwn
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2013)
[]
['2013 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2013']
None
[2013]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-ufxhyu
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2014)
[]
['2014 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2014']
None
[2014]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-kzuzny
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2015)
[]
['2015 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2015']
None
[2015]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-wjngrw
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2016)
[]
['2016 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2016']
None
[2016]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-vmgkti
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2017)
[]
['2017 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2017']
None
[2017]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-dsidua
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2018)
[]
['2018 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2018']
None
[2018]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-vtueqs
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2019)
[]
['2019 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2019']
None
[2019]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-wewcyg
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska 2020)
[]
['2020 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2020']
None
[2020]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-ohqxyf
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Alaska)
[]
['2021 tree canopy cover data for southeast coastal Alaska']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2021']
None
[2021]
[]
['Southeast coastal Alaska']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-vsxyco
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (CONUS)
[]
['"NLCD tree canopy cover is a 30 m raster geospatial dataset that is available for the conterminous United States. They are generated by the USDA Forest Service. These data contain percent tree canopy estimates, as a continuous variable, for each pixel across all land covers and types. Tree canopy cover is derived from multi-spectral satellite imagery and other available ground and ancillary information. 2011 through 2021 Forest canopy products are available for the conterminous United States"']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2011-2021']
None
[2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021]
[]
['Conterminus United States']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-eiruia
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2011)
[]
['2011 tree canopy cover data for Hawaii']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2011']
None
[2011]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-wnmlru
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
['150US15*']
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2012)
[]
['2012 tree canopy cover data for Hawaii']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2012']
None
[2012]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-kgqxyl
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2013)
[]
['2013 tree canopy cover data for Hawaii']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2013']
None
[2013]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-kpmebo
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2014)
[]
["2014 tree canopy cover data for Hawaii'"]
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2014']
None
[2014]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-avocev
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2015)
[]
["2015 tree canopy cover data for Hawaii'"]
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2015']
None
[2015]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-reghix
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2016)
[]
['2016 tree canopy cover data for Hawaii']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2016']
None
[2016]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-kyvcep
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2017)
[]
["2017 tree canopy cover data for Hawaii'"]
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2017']
None
[2017]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-nizpjt
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2018)
[]
["2018 tree canopy cover data for Hawaii'"]
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2018']
None
[2018]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-zbfstv
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2019)
[]
["2019 tree canopy cover data for Hawaii'"]
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2019']
None
[2019]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-ijebmc
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii 2020)
[]
["2020 tree canopy cover data for Hawaii'"]
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2020']
None
[2020]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-fafkcg
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
None
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (Hawaii)
[]
["2021 tree canopy cover data for Hawaii'"]
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2021']
None
[2021]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-czhlru
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2011)
[]
['2011 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2011']
None
[2011]
[]
['Puerto Rice, US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-xyekqn
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2012)
[]
['2012 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2012']
None
[2012]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-qpmpyt
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2013)
[]
['2013 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2013']
None
[2013]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-myamao
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2014)
[]
['2014 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2014']
None
[2014]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-yhybah
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2015)
[]
['2015 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2015']
None
[2015]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-sbpeai
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2016)
[]
['2016 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2016']
None
[2016]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-jdegzq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2017)
[]
['2017 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2017']
None
[2017]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-gbxjwn
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2018)
[]
['2018 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2018']
None
[2018]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-anhuks
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2019)
[]
['2019 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2019']
None
[2019]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-dnzvcf
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI 2020)
[]
['2020 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2020']
None
[2020]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-oaptpn
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
Tree Canopy Cover (PR & USVI)
[]
['2021 tree canopy cover data for Puerto Rico and the US Virgin Islands']
['eng']
[]
['USDA Forest Service']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Green Space', 'Tree Canopy', 'Satellite Data']
['2021']
None
[2021]
[]
['Puerto Rico and the US Virgin Islands']
None
None
None
False
[]
[]
[]
[]
['herop-qwqgwc']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/type/tree-canopy', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3Atree%20canopy', 'http://lccn.loc.gov/sh85035852': 'https://data.fs.usda.gov/geodata/rastergateway/treecanopycover/docs/TCC_v2021-4_Methods.pdf'}
None
herop-dwlwag
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Percent tree canopy cover']
[]
None
None
UGS Extractor
[]
['A web-based application for the automatic extraction of urban greenspace (UGS) given user inputs of Area of Interest and Date of Interest. To accommodate various types of green spaces, such as parks or lawns, the application additionally allows users to set parameters for the minimum size of each UGS and the Minimum Urban Neighbor Density, enabling customization of what qualifies as UGS. Primary datasource is Dynamic World, a collection of global near real-time LULC derived from Sentinel 2-imagery. Greenspace defined as pixels classified as Trees or Grass by Dynamic World.']
['eng']
[]
['Ian Estacio', 'Cristian Roman-Palacios', 'Joseph Hoover', 'Xiaojiang Li', 'Chris Lim']
['Data Diversity Lab']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Polygon data']
['Greenspaces']
['Land Cover']
['Green Space', 'Satellite Data']
['2015-2024']
None
[2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024]
[]
['Global']
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
['No use restrictions']
['Estacio et al (2024)']
[]
Public
GeoJSON
None
{'http://schema.org/url': 'https://isprs-annals.copernicus.org/articles/X-2-2024/65/2024/', 'http://schema.org/downloadUrl': 'https://ee-geotools.projects.earthengine.app/view/theugsextractor', 'http://lccn.loc.gov/sh85035852': 'https://isprs-annals.copernicus.org/articles/X-2-2024/65/2024/'}
None
herop-uyrmqd
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['City', 'Census Tract', 'Census Block', 'Census Block Group', 'Zip Code Tabulation Area (ZCTA)']
['150US*']
10m resolution, with a minimum 3000m area for UGS
[]
['ID', 'Percent Classified as Grass', 'Percent Classified as Trees', 'Count', 'Labels']
[]
None
None
US Social Determinants of Health
['US Social Determinants of Health (2014)']
['To quantify social determinants of health (SDOH) as multiple dimensions across the continental United States (the 48 contiguous states and the District of Columbia) to examine the association of SDOH with premature mortality within Chicago, Illinois, fifteen variables, measured as a 5-year mean, were selected to characterize SDOH as small-area variations for demographic characteristics of vulnerable groups, economic status, social and neighborhood characteristics, and housing and transportation availability at the census-tract level. This SDOH data matrix was reduced to 4 indices reflecting advantage, isolation, opportunity, and mixed immigrant cohesion and accessibility, which were then clustered into 7 distinct multidimensional neighborhood typologies. The association between SDOH indices and premature mortality (defined as death before age 75 years) in Chicago was measured by years of potential life lost and aggregated to a 5-year mean. Data analyses were conducted between July 1, 2018, and August 30, 2019. The variables are derived from the 2014 American Community Survey 5-year mean. These sample data are referenced in the tutorials for GeoDa, GeoDaSpace, and CAST.']
['eng']
[]
['Kolak, Marynia, Bhatt, Jay, Park, Yoon Hong, Padron, Norma, and Molefe, Ayrin. "Quantification of Neighborhood-Level Social Determinants of Health in the Continental United States." JAMA Network Open. 2020;3(1):e1919928. doi:10.1001/jamanetworkopen.2019.19928']
['GeoDa Data and Lab, Center for Spatial Data Science, University of Chicago']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Maps', 'Websites']
['Census data']
['Demographics', 'Economic Stability', 'Employment', 'Education', 'Health and Healthcare', 'Housing', 'Neighborhood and Built Environment', 'Social and Community Context', 'Transportation and Infrastructure']
['Economy', 'Health', 'Society']
['US Census', 'Health Equity', 'SDOHSocioeconomic Data']
['2014']
None
[2014]
[]
[]
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
[]
[]
[]
Public
CSV|SHP
None
{'http://schema.org/url': 'https://sdohatlas.github.io/', 'http://schema.org/downloadUrl': "[{'url': 'https://geodacenter.github.io/data-and-lab/data/us-sdoh-2014.zip', 'label': 'ZIP Archive'}]"}
None
herop-yvjqrx
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Tract']
['-140US01097990000', '-140US01117980000', '-140US01015981901', '-140US01015981903', '-140US01015981902', '-140US02020000701', '-140US02020001701', '-140US02020002811', '-140US02050000100', '-140US02090001700', '-140US02122000100', '-140US02122000400', '-140US02122001200', '-140US02164000100', '-140US02180000100', '-140US02188000100', '-140US02195000200', '-140US02198000200', '-140US02240000400', '-140US02282000100', '-140US02290000100', '-140US02290000400', '-140US02050000200', '-140US02050000300', '-140US02090001100', '-140US02016000200', '-140US02020000202', '-140US02020000702', '-140US02020000802', '-140US02020001601', '-140US02020002302', '-140US02020002603', '-140US02020002821', '-140US02020002900', '-140US02122000200', '-140US02122000300', '-140US02122000800', '-140US02122001100', '-140US02122001300', '-140US02158000100', '-140US02170000101', '-140US02170000102', '-140US02170000604', '-140US02170000705', '-140US02170001300', '-140US02180000200', '-140US02185000300', '-140US02290000300', '-140US02020000201', '-140US02020001802', '-140US02090001900', '-140US02220000100', '-140US02261000200', '-140US02100000100', '-140US02020002602', '-140US02110000500', '-140US02170000502', '-140US02198940100', '-140US02020002303', '-140US02016000100', '-140US02020001801', '-140US02070000200', '-140US02110000600', '-140US02170000402', '-140US02170001001', '-140US02185000200', '-140US02013000100', '-140US02170000401', '-140US02170000703', '-140US02170000900', '-140US02198000300', '-140US02220000200', '-140US02261000100', '-140US02261000300', '-140US02290000200', '-140US02090001400', '-140US02105000300', '-140US02110000200', '-140US02122000900', '-140US02170001004', '-140US02020000101', '-140US02020000400', '-140US02020000703', '-140US02020001000', '-140US02020001500', '-140US02020001731', '-140US02020002000', '-140US02020002202', '-140US02020002813', '-140US02090000200', '-140US02090000400', '-140US02090000900', '-140US02130000100', '-140US02150000200', '-140US02020002702', '-140US02170000200', '-140US02240000100', '-140US02070000100', '-140US02110000300', '-140US02170001100', '-140US02170001202', '-140US02188000200', '-140US02198000100', '-140US02110000400', '-140US02122000500', '-140US02105000200', '-140US02020000300', '-140US02020000600', '-140US02020000801', '-140US02020000902', '-140US02020001400', '-140US02020001602', '-140US02020002301', '-140US02020002502', '-140US02020001702', '-140US02020001900', '-140US02020002100', '-140US02020002601', '-140US02020002711', '-140US02020002712', '-140US02020002822', '-140US02090000100', '-140US02090000300', '-140US02090000500', '-140US02090001800', '-140US02090000600', '-140US02090001300', '-140US02090001500', '-140US02020000102', '-140US02020000203', '-140US02170001003', '-140US02170000501', '-140US02122000600', '-140US02130000200', '-140US02130000300', '-140US02110000100', '-140US02020002201', '-140US02150000100', '-140US02150000400', '-140US02170000601', '-140US02170000701', '-140US02170000800', '-140US02020001732', '-140US02020000901', '-140US02090000700', '-140US02122000700', '-140US02150000500', '-140US02170000603', '-140US02170001201', '-140US02020002501', '-140US02020002823', '-140US02068000100', '-140US02090000800', '-140US02020001200', '-140US02020001100', '-140US02020002400', '-140US02020002812', '-140US02020000500', '-140US02090001000', '-140US02090001600', '-140US02230000100', '-140US02122001000', '-140US02150000300', '-140US02170000300', '-140US02130000400', '-140US02020000204', '-140US02020001300', '-140US02185000100', '-140US02060000100', '-140US02090001200', '-140US02170000706', '-140US02275000300', '-140US04013980700', '-140US04013723303', '-140US04027980003', '-140US04013980100', '-140US04013980600', '-140US04012980000', '-140US04013113802', '-140US04027980004', '-140US05091980000', '-140US05119003205', '-140US06037980001', '-140US06083980100', '-140US06037980007', '-140US06037980030', '-140US06037980005', '-140US06071980100', 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'-140US12057980700', '-140US12107980000', '-140US12009980100', '-140US12055980100', '-140US12043990000', '-140US12099980100', '-140US12099980500', '-140US12109990100', '-140US12087990000', '-140US12057980200', '-140US12057980500', '-140US12119980000', '-140US12086980200', '-140US12086980400', '-140US12095990000', '-140US12086980900', '-140US12011980000', '-140US12057980600', '-140US12099980000', '-140US12099980200', '-140US12099980400', '-140US12086980800', '-140US12086980100', '-140US12053990000', '-140US12009980000', '-140US12083980000', '-140US12111980000', '-140US12057990000', '-140US12086980600', '-140US12051990000', '-140US12091990200', '-140US12093990000', '-140US12105980000', '-140US12086980500', '-140US12087980000', '-140US12099990100', '-140US13179990000', '-140US13191980000', '-140US13029980000', '-140US13051980000', '-140US13063980000', '-140US13183980000', '-140US13191990000', '-140US13121003700', '-140US13089980000', '-140US13121980000', '-140US13051010605', 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'-140US72135510602', '-140US72137120300', '-140US72137120600', '-140US72137121002', '-140US72137121200', '-140US72137121300', '-140US72137121701', '-140US72139060222', '-140US72137121802', '-140US72137122100', '-140US72127005602', '-140US72127006101', '-140US72127006300', '-140US72115330100', '-140US72115330400', '-140US72119130102', '-140US72119130500', '-140US72121960700', '-140US72139060213', '-140US72127980000', '-140US72127980105', '-140US72023830502', '-140US72023830504', '-140US72025201800', '-140US72123952700', '-140US72025202200', '-140US72025202402', '-140US72131959500', '-140US72129220600', '-140US72001956500', '-140US72005401000', '-140US72137122400', '-140US72003430200', '-140US72003430401', '-140US72003430502', '-140US72003430602', '-140US72005400502', '-140US72005400700', '-140US72129220700', '-140US72127010200', '-140US72131958800', '-140US72069180902', '-140US72071410200', '-140US72071410300', '-140US72071410402', '-140US72121960300', '-140US72133953300', 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'-140US72013301800', '-140US72013302000', '-140US72013302100', '-140US72015280101', '-140US72009250600', '-140US72031050803', '-140US72031050812', '-140US72035260400', '-140US72035260202', '-140US72037160201', '-140US72037160300', '-140US72041240601', '-140US72063210504', '-140US72065310200', '-140US72005401402', '-140US72053150200', '-140US72053150302', '-140US72053150400', '-140US72029100800', '-140US72031050111', '-140US72031050212', '-140US72053150601', '-140US72031050241', '-140US72031050242', '-140US72031050331', '-140US72031050341', '-140US72031050503', '-140US72031050700', '-140US72031051001', '-140US72031051002', '-140US72031051103', '-140US72033020423', '-140US72033980001', '-140US72033980004', '-140US72033990201', '-140US72035260201', '-140US72025202800', '-140US72027320401', '-140US72027320402', '-140US72007230200', '-140US72009250100', '-140US72009250300', '-140US72009250400', '-140US72045952100', '-140US72097082104', '-140US72091570100', '-140US72091570500', '-140US72091570700', '-140US72093960200', '-140US72147950500', '-140US72103170300', '-140US72077500100', '-140US72077500301', '-140US72079850400', '-140US72081957800', '-140US72145560300', '-140US72145560702', '-140US72139060301', '-140US72139060401', '-140US72139060501', '-140US72141956900', '-140US72081957900', '-140US72147950600', '-140US72101955201', '-140US72101955300', '-140US72149720502', '-140US72077500302', '-140US72083959800', '-140US72085190102', '-140US72127002300', '-140US72127002500', '-140US72127002002', '-140US72075710902', '-140US72073956000', '-140US72081958200', '-140US72083959900', '-140US72087110303', '-140US72141957200', '-140US72141957000', '-140US72097081602', '-140US72143550200', '-140US72143550601', '-140US72145560201', '-140US72111730700', '-140US72113070502', '-140US72113070503', '-140US72113070514', '-140US72113070900', '-140US72089140101', '-140US72089140201', '-140US72089140202', '-140US72127003100', '-140US72127003300', '-140US72127003400', '-140US72127003800', '-140US72127000900', '-140US72075710102', '-140US72075710301', '-140US72075710500', '-140US72127001000', '-140US72127001200', '-140US72075710901', '-140US72061040403', '-140US72061040421', '-140US72061040422', '-140US72061040442', '-140US72061040800', '-140US72061041000', '-140US72027320600', '-140US72029100503', '-140US72127004200', '-140US72127004400', '-140US72127004700', '-140US72127005000', '-140US72127005201', '-140US72127005202', '-140US72127005403', '-140US72029100504', '-140US72029100602', '-140US72031050901', '-140US72151951300', '-140US72153750101', '-140US72097081800', '-140US72097082001', '-140US72097082012', '-140US72153750201', '-140US72153750400', '-140US72153750502', '-140US72153750601', '-140US72113071401', '-140US72153750602', '-140US72113071402', '-140US72113071700', '-140US72079850102', '-140US72081958400', '-140US72099420100', '-140US72099420401', '-140US72099420402', '-140US72151950600', '-140US72151950800', '-140US72151950900', '-140US72095951500', '-140US72097080400', '-140US72097080800', '-140US72097081200', '-140US72097081601', '-140US72025200100', '-140US72025201500', '-140US72025202403', '-140US72027320300', '-140US72029100601', '-140US72031050841', '-140US72033980005', '-140US72043954000', '-140US72051540600', '-140US72055960900', '-140US72061040432', '-140US72013301200', '-140US72063210300', '-140US72013302300', '-140US72019952202', '-140US72021031101', '-140US72021031203', '-140US72021031900', '-140US72023830400', '-140US72139060302', '-140US72141957600', '-140US72149720400', '-140US72135510300', '-140US72137120200', '-140US72137122202', '-140US72047530100', '-140US72035260800', '-140US72107955100', '-140US72111730100', '-140US72113072101', '-140US72113073002', '-140US72117959500', '-140US72001956300', '-140US72003430601', '-140US72005401200', '-140US72007230502', '-140US72085190101', '-140US72091570201', '-140US72119130602', '-140US72127003501', '-140US72127005402', '-140US72127006500', '-140US72067820300', '-140US72069180901', '-140US72071410702', '-140US72075710800', '-140US72079850300', '-140US72095951600', '-140US72097081501', '-140US72101955402', '-140US72105520200', '-140US72107954802', '-140US72127008602', '-140US72127009111', '-140US72127009300', '-140US72127010500', '-140US72129220200', '-140US72123952800', '-140US72005400100', '-140US72107955002', '-140US72093960100', '-140US72097081512', '-140US72031980003', '-140US72033980007', '-140US72035260700', '-140US72063210202', '-140US72065310400', '-140US72127008002', '-140US72127008500', '-140US72001956800', '-140US72021031612', '-140US72021031702', '-140US72005401301', '-140US72007230501', '-140US72023830101', '-140US72005400400', '-140US72105520500', '-140US72079850101', '-140US72131958500', '-140US72007230100', '-140US72013301700', '-140US72017590400', '-140US72021031304', '-140US72023830503', '-140US72051540400', '-140US72055961100', '-140US72031051104', '-140US72035260300', '-140US72023830603', '-140US72025200303', '-140US72025202000', '-140US72029100101', '-140US72135510102', '-140US72137121001', '-140US72139060212', '-140US72057270202', '-140US72065310300', '-140US72069180600', '-140US72075710200', '-140US72031050600', '-140US72039955900', '-140US72043954600', '-140US72061040500', '-140US72087110102', '-140US72085190201', '-140US72097082022', '-140US72103170100', '-140US72103170200', '-140US72069180301', '-140US72127009903', '-140US72137121400', '-140US72019952201', '-140US72021032000', '-140US72013300200', '-140US72013302202', '-140US72037160100', '-140US72019952301', '-140US72151951200', '-140US72031050221', '-140US72041240102', '-140US72059740101', '-140US72145560701', '-140US72133953600', '-140US72139060102', '-140US72139060403', '-140US72143550602', '-140US72143550100', '-140US72145560401', '-140US72149720503', '-140US72085190301', '-140US72031050103', '-140US72031050231', '-140US72025202702', '-140US72031050402', '-140US72031050822', '-140US72129220300', '-140US72099420301', '-140US72029100104', '-140US72033980002', '-140US72057270100', '-140US72149720300', '-140US72041240500', '-140US72043954700', '-140US72047530500', '-140US72025202100', '-140US72021031023', '-140US72021031124', '-140US72021031403', '-140US72023830300', '-140US72054580100', '-140US72039955700', '-140US72125840200', '-140US72113072703', '-140US72113073009', '-140US72119130200', '-140US72127980102', '-140US72129220100', '-140US72113072000', '-140US72125840300', '-140US72127007300', '-140US72127009603', '-140US72127980108', '-140US72127003700', '-140US72127004900', '-140US72127006102', '-140US72061040602', '-140US72063210503', '-140US72097080600', '-140US72069180201', '-140US72061040601', '-140US72101955500', '-140US72115330200', '-140US72077500402', '-140US72081958100', '-140US72069180800', '-140US72111730300', '-140US72113072202', '-140US72075710700', '-140US72137120400', '-140US72145560500', '-140US72001956400', '-140US72003430501', '-140US72007230400', '-140US72119130601', '-140US72121960800', '-140US72085190202', '-140US72091570202', '-140US72097080100', '-140US72115330300', '-140US72031050222', '-140US72125840600', '-140US72127003600', '-140US72127005204', '-140US72141957400', '-140US72145560600', '-140US72105520100', '-140US72113073010', '-140US72127009121', '-140US72137121900', '-140US72051540700', '-140US72127980104', '-140US78010971300', '-140US78020950100', '-140US78030960300', '-140US78030960500', '-140US78030961200', '-140US78010970500', '-140US78030961100', '-140US78030961000', '-140US78030960100', '-140US78030960700', '-140US78030960400', '-140US78010971100', '-140US78010971200', '-140US78010971400', '-140US78030960800', '-140US78010970600', '-140US78010970800', '-140US78010970900', '-140US78010971000', '-140US78030960900', '-140US78020950200', '-140US78020990000', '-140US78030960200', '-140US78030960600', '-140US78010971500', '-140US78030990000', '-140US78010970400', '-140US78010970700', '-140US78010970200', '-140US78010970100', '-140US78010970300']
Tracts outside of the continental United States, without population numbers in 2014, and/or with incomplete data, were not included in the analysis.
['Percentage of persons below poverty estimate', 'Percentage of civilian (age 16+) unemployed estimate', 'Per capita income estimate', 'Percentage of persons with no high school diploma (age 25+) estimate', 'Percentage of single parent households with children under 18 estimate', 'Percentage of persons (age 5+) who speak English “less than well” estimate', 'Percentage of households with more people than rooms estimate', 'Percentage of households with no vehicle available estimate', 'Percentage of renters estimate', 'Percentage of renters paying over 30% of income towards housing estimate', 'Percentage of uninsured in the total civilian noninstitutionalized population estimate', 'Percentage minority (all persons except white, non-Hispanic) estimate', 'Percentage of persons aged 65 and older estimate', 'Percentage of persons aged 17 and younger estimate', 'Percentage of civilian noninstitutionalized population with a disability estimate', '1_SES - Socioeconomic Advantage Index, raw', '2_MOB - Limited Mobility Index, raw', '3_URB - Urban Core Opportunity Index, raw', '4_MICA - MICA Index, raw', 'SDOH_CL - 1:rural affordable, 2:suburban affluent, 3:suburban affordable, 4:extreme poverty, 5:multilingual working, 6:urban core opportunity, 7:sparse areas']
['Percentage of persons below poverty estimate', 'Percentage of civilian (age 16+) unemployed estimate', 'Per capita income estimate', 'Percentage of persons with no high school diploma (age 25+) estimate', 'Percentage of single parent households with children under 18 estimate', 'Percentage of persons (age 5+) who speak English “less than well” estimate', 'Percentage of households with more people than rooms estimate', 'Percentage of households with no vehicle available estimate', 'Percentage of renters estimate', 'Percentage of renters paying over 30% of income towards housing estimate', 'Percentage of uninsured in the total civilian noninstitutionalized population estimate', 'Percentage minority (all persons except white, non-Hispanic) estimate', 'Percentage of persons aged 65 and older estimate', 'Percentage of persons aged 17 and younger estimate', 'Percentage of civilian noninstitutionalized population with a disability estimate', '1_SES - Socioeconomic Advantage Index, raw', '2_MOB - Limited Mobility Index, raw', '3_URB - Urban Core Opportunity Index, raw', '4_MICA - MICA Index, raw', 'SDOH_CL - 1:rural affordable, 2:suburban affluent, 3:suburban affordable, 4:extreme poverty, 5:multilingual working, 6:urban core opportunity, 7:sparse areas']
['Socioeconomic Advantage Index, Limited Mobility Index, Urban Core Opportunity Index, Mixed Immigrant, Cohesion, & Access Index, SDOH Cluster - 1:rural affordable, 2:suburban affluent, 3:suburban affordable, 4:extreme poverty, 5:multilingual working, 6:urban core opportunity, 7:sparse areas (see https://sdohatlas.github.io/)']
Kolak, Marynia, Bhatt, Jay, Park, Yoon Hong, Padron, Norma, and Molefe, Ayrin. "Quantification of Neighborhood-Level Social Determinants of Health in the Continental United States." JAMA Network Open. 2020;3(1):e1919928. doi:10.1001/jamanetworkopen.2019.19928
None
USGS Land Cover
[]
["The National Land Cover Database (NLCD) provides nationwide data on land cover and land cover change at a 30m resolution with a 16-class classification system. The database is designed to provide cyclical updates of United States land cover and associated changes. Systematically aligned over time, the database provides the ability to understand both current and historical land cover and land cover change, and enables monitoring and trend assessments. Legacy land cover is available for the conterminus US for years 2001, 2004, 2006, 2008, 2011, 2013, 2016, 2019, and 2021, Alaska for 2001, 2011, and 2016, Hawai'i for 2001, 2005, and 2011, and Puerto Rico for 2001. Annual land cover is available for the conterminus US for 1985-2023."]
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['1985-2023']
None
[1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023]
[]
['United States, Puerto Rico']
None
None
None
False
[]
[]
[]
[]
[]
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/legends/national-land-cover-database-class-legend-and-description', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3ALand%20Cover&f%5B1%5D=category%3ALegacy%20Land%20Cover&f%5B2%5D=project_tax_term_term_parents_tax_term_name%3AAnnual%20NLCD&f%5B3%5D=project_tax_term_term_parents_tax_term_name%3ALegacy%20NLCD', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-iviplg
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Block Group']
[]
30m resolution
[]
['Land Cover Type']
[]
None
None
USGS Land Cover (Alaska 2001)
[]
['2001 land cover data for Alaska']
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Satellite Data']
['2001']
None
[2001]
[]
['Alaska']
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None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/nlcd-2001-land-cover-alaska-0', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/nlcd-2001-land-cover-alaska-0', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-ehphnq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (Alaska 2011)
[]
['2011 land cover data for Alaska']
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['2011']
None
[2011]
[]
['Alaska']
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None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/nlcd-2011-land-cover-alaska-0', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/nlcd-2011-land-cover-alaska-0', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-rqqcmq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (Alaska)
[]
['2016 land cover data for Alaska']
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['2016']
None
[2016]
[]
['Alaska']
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-156.74 56.02, -156.68 55.99, -155.72 55.77, -155.61 55.76, -155.59 55.76, -153.88 56.53, -152.28 57.37, -152.27 57.37, -152.27 57.37, -152.25 57.38, -152.16 57.59, -151.81 58.19, -150.38 59.34, -149.58 59.59, -147.88 59.76, -147.87 59.76, -147.85 59.77, -147.68 59.8, -147.46 59.84, -147.39 59.87, -146.61 60.24, -144.6 59.79, -143.19 60.06, -141.42 59.88, -141.37 59.86, -141.26 59.84, -141.15 59.81, -141.09 59.79, -140.89 59.74, -140.87 59.74, -139.47 59.39, -139.42 59.38, -139.32 59.35, -137.67 58.62, -137.67 58.61, -135.86 57, -134.81 56.23, -133.55 54.78, -133.52 54.75, -133.51 54.75, -132.73 54.66, -132.69 54.66, -130.69 54.72, -130.65 54.72, -130.65 54.73, -130.64 54.73, -130.34 54.92, -130.3 54.95, -130.27 54.97, -129.97 55.28, -130 56.01, -130.01 56.01, -130.03 56.04, -130.04 56.05, -130.05 56.06, -130.08 56.1, -130.1 56.12, -130.47 56.24, -130.78 56.37, -132.66 57.62, -132.87 57.84, -133.38 58.43, -133.84 58.73, -135.03 59.56, -135.12 59.62, -135.23 59.7, -135.48 59.8, -135.7 59.74, -136.19 59.64, -136.3 59.61, -136.35 59.6, -138.71 59.91, -139.07 60.35, -139.69 60.34, -141 61.91, -141 62, -141 62.24, -141 62.4, -141 62.52, -141 62.81, -141 62.86, -141 63.09, -141 64.01, -141 64.98, -141 65, -141 65.33, -141 65.84, -141 65.97, -141 66.51, -141 67.54, -141 67.93, -141 68.19, -141 68.5, -141 68.54, -141 68.88, -141 68.95, -141 69.29, -141 69.65, -141.12 69.67, -142.75 70.04, -143.25 70.15, -143.26 70.15, -143.27 70.15, -143.59 70.15, -145.85 70.16, -147.96 70.36, -148.84 70.48, -149.17 70.52, -149.19 70.52, -149.45 70.55, -149.47 70.56, -149.49 70.56, -149.5 70.56, -149.52 70.56, -149.66 70.57, -149.7 70.57, -149.72 70.57, -149.73 70.57, -150.54 70.48, -152.22 70.82, -152.23 70.83, -152.23 70.83, -152.4 70.86, -152.58 70.88, -152.59 70.88, -152.85 70.9, -155.1 71.16, -156.07 71.32, -156.11 71.33, -156.35 71.37, -156.57 71.35, -156.62 71.34, -156.64 71.34, -156.64 71.34, -156.65 71.34, -158.86 70.91, -159.15 70.88, -159.17 70.88, -159.21 70.87, -159.23 70.87, -159.43 70.84, -159.48 70.83, -159.55 70.82, -159.55 70.82, -159.62 70.8, -161.88 70.33, -162.05 70.28, -162.27 70.21, -162.28 70.21, -162.3 70.2, -162.33 70.19, -162.34 70.19, -162.36 70.18, -162.45 70.14, -162.46 70.13, -162.47 70.13, -162.48 70.12, -162.57 70.07, -162.98 69.83, -162.98 69.83, -163 69.82, -163.01 69.81, -163.02 69.81, -163.02 69.8, -165.23 68.87, -165.49 68.85, -165.51 68.85, -165.77 68.86, -165.78 68.86, -165.8 68.86, -165.88 68.86, -165.94 68.87, -165.98 68.87, -166.03 68.87, -166.09 68.87, -166.13 68.88, -166.2 68.88, -166.2 68.88, -166.21 68.88, -166.22 68.88, -166.23 68.88))
None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/nlcd-2016-land-cover-alaska', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/nlcd-2016-land-cover-alaska', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-wqbzfv
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (CONUS)
[]
['Land cover data for the conterminus United States. Data download includes land cover for 2001, 2004, 2006, 2008, 2011, 2013, 2016, 2019, and 2021.']
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['2001', '2004', '2006', '2008', '2011', '2013', '2016', '2019', '2021']
None
[2001, 2004, 2006, 2008, 2011, 2013, 2016, 2019, 2021]
[]
['Conterminous United States']
None
None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/nlcd-land-cover-conus-all-years', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/nlcd-land-cover-conus-all-years', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-cxuyoz
['doi.org/10.1080/15481603.2023.2181143']
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (CONUS)
[]
['Land cover data for the conterminous United States. Data available for each individual year 1985-2023, and as larger datasets for 1985-1994, 1995-2004, 2005-2014, and 2015-2023.']
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['1985-2023']
None
[1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023]
[]
['Conterminous United States']
None
None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/legends/national-land-cover-database-class-legend-and-description', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data?f%5B0%5D=category%3ALand%20Cover&f%5B1%5D=category%3ALegacy%20Land%20Cover&f%5B2%5D=project_tax_term_term_parents_tax_term_name%3AAnnual%20NLCD', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-ehnipl
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (Hawaii 2001)
[]
['2001 land cover data for Hawaii']
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['2001']
None
[2001]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/nlcd-2001-land-cover-hawaii-0', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/nlcd-2001-land-cover-hawaii-0', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-auhvqn
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (Hawaii 2005)
[]
['2005 land cover data for Hawaii']
['eng']
[]
['National Oceanic and Atmospheric Administration']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['2005']
None
[2005]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/noaa-2005-land-cover-hawaii-0', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/noaa-2005-land-cover-hawaii-0', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-tylxkq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (Hawaii)
[]
['2011 land cover data for Hawaii']
['eng']
[]
['National Oceanic and Atmospheric Administration']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['2011']
None
[2011]
[]
['Hawaii']
POLYGON ((-159.58 22.22, -160.1 22.03, -160.1 22.03, -160.23 21.89, -160.23 21.89, -160.25 21.85, -160.25 21.83, -160.25 21.81, -160.25 21.81, -160.24 21.81, -160.23 21.79, -160.23 21.79, -160.21 21.78, -160.2 21.78, -159.44 21.87, -158.11 21.3, -158.1 21.3, -156.97 20.73, -156.68 20.51, -156.06 19.73, -155.92 19.11, -155.91 19.08, -155.88 19.04, -155.88 19.03, -155.68 18.91, -155.68 18.91, -155.68 18.91, -155.67 18.91, -155.65 18.92, -154.97 19.35, -154.89 19.42, -154.86 19.44, -154.84 19.46, -154.83 19.47, -154.82 19.48, -154.81 19.52, -154.81 19.52, -154.81 19.53, -155.09 19.86, -155.09 19.86, -155.12 19.9, -155.14 19.92, -156 20.79, -156.01 20.8, -156.23 20.93, -156.24 20.94, -156.74 21.17, -157.97 21.71, -159.35 22.22, -159.4 22.23, -159.49 22.23, -159.56 22.23, -159.58 22.22))
None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/noaa-2011-high-resolution-land-cover-hawaii-0', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/noaa-2011-high-resolution-land-cover-hawaii-0', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-xdinod
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
1-5m resolution
[]
['Land cover type']
[]
None
None
USGS Land Cover (PR & USVI)
[]
['2001 land cover data for Puerto Rico']
['eng']
[]
['US Geological Survey']
['US Geological Survey']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Imagery']
['Raster data']
['Greenspaces']
['Land Cover']
['Land Cover', 'Remote Sensing', 'Sateliite Data']
['2001']
None
[2001]
[]
['Puerto Rico']
None
None
None
False
[]
[]
[]
[]
['herop-iviplg']
[]
[]
['No use restrictions']
['US Geological Survey']
[]
Public
Raster Dataset
None
{'http://schema.org/url': 'https://www.mrlc.gov/data/nlcd-2001-land-cover-puerto-rico', 'http://schema.org/downloadUrl': 'https://www.mrlc.gov/data/nlcd-2001-land-cover-puerto-rico', 'http://lccn.loc.gov/sh85035852': 'https://doi.org/10.14358/PERS.70.7.829'}
None
herop-mmfcua
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
True
['Census Block Group']
[]
30m resolution
[]
['Land cover type']
[]
None
None
Ultraviolet Irradiance
['CDC Population-Weighted Ultraviolet Irradiance 2004-2015']
['The data are compiled to show the temporal and spatial trends of population-weighted ultraviolet (UV) irradiance levels throughout the continental U.S. from October 2004 to', 'December 2015. The county-level population-weighted irradiance data are provided by the Environmental Remote Sensing group at the Rollins School of Public Health at Emory University, led by Prof. Yang Liu. The original irradiance data are from Ozone Monitoring Instrument (OMI) Level 2 Surface UV Irradiance Product from October 2004 to the end of 2015 provided by University of Iowa.']
['eng']
[]
['Environmental Public Health Tracking Network', 'Centers for Disease Control and Prevention', 'National Oceanic and Atmospheric Administration (NOAA)']
['Centers for Disease Control and Prevention']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets', 'Web services']
['Table data']
['Health and Healthcare', 'Neighborhood and Built Environment', 'Safety']
['Climate', 'Environment', 'Health']
['environmental health', 'sunlight', 'skin cancer', 'total solar irradiance', 'Toxicology']
['2004-2015']
2018-08-01
[2015]
[]
['United States']
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None
None
False
[]
[]
['herop-lukhbw']
[]
[]
[]
[]
['None']
['None']
['None']
Public
CSV | RSS | RDF | XML
None
{'http://schema.org/url': 'https://healthdata.gov/dataset/Population-Weighted-Ultraviolet-Irradiance-2004-20/mt9t-8zb9/about_data', 'http://schema.org/downloadUrl': 'https://data.cdc.gov/Environmental-Health-Toxicology/Population-Weighted-Ultraviolet-Irradiance-2004-20/h28b-t43q/data_preview'}
None
herop-drwddq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['County']
['-050US02016', '-050US02130', '-050US02180', '-050US02282', '-050US15007', '-050US15001', '-050US15009', '-050US72054', '-050US72113', '-050US72115', '-050US72141', '-050US72147', '-050US78010', '-050US78020', '-050US02090', '-050US02158', '-050US02240', '-050US60010', '-050US60020', '-050US69085', '-050US69100', '-050US69110', '-050US72023', '-050US72031', '-050US72037', '-050US72039', '-050US72053', '-050US02050', '-050US02195', '-050US02100', '-050US72097', '-050US72151', '-050US02170', '-050US60050', '-050US78030', '-050US02290', '-050US02070', '-050US02110', '-050US02150', '-050US02220', '-050US02261', '-050US66010', '-050US02020', '-050US15003', '-050US72061', '-050US72035', '-050US72041', '-050US72011', '-050US72013', '-050US60030', '-050US60040', '-050US69120', '-050US72047', '-050US72045', '-050US72089', '-050US72093', '-050US72007', '-050US72005', '-050US72021', '-050US72025', '-050US72033', '-050US02060', '-050US02068', '-050US02188', '-050US02230', '-050US02275', '-050US02013', '-050US72059', '-050US72017', '-050US72065', '-050US72019', '-050US72111', '-050US72127', '-050US72143', '-050US72099', '-050US72131', '-050US72133', '-050US72149', '-050US72101', '-050US72105', '-050US72135', '-050US72087', '-050US72153', '-050US72057', '-050US72079', '-050US72081', '-050US72103', '-050US72137', '-050US72121', '-050US72001', '-050US72051', '-050US72083', '-050US72069', '-050US72077', '-050US02185', '-050US02122', '-050US72015', '-050US72123', '-050US72003', '-050US72107', '-050US72125', '-050US72043', '-050US72029', '-050US72119', '-050US72027', '-050US72049', '-050US72095', '-050US72009', '-050US72067', '-050US72091', '-050US15005', '-050US72139', '-050US72073', '-050US72063', '-050US02164', '-050US72145', '-050US72055', '-050US72109', '-050US46102', '-050US72075', '-050US72071', '-050US72085', '-050US72117', '-050US02198', '-050US72129', '-050US02105']
None
['Annual Average Sunlight Exposure Measured by Solar Irradiance (kJ/m2)', 'Monthly Average Sunlight Exposure Measured by Solar Irradiance (kJ/m2)', 'Annual Average Daily Dose of UV Irradiance (J/m2)', 'Monthly Average Daily Dose of UV Irradiance (J/m2)', 'Annual Average UV Irradiance at Noon (mW/m2)', 'Monthly Average UV Irradiance at Noon (mW/m2)', 'Indoor Tanning Restrictions for Minors', 'Laws Allowing Students to Carry and Self-apply Sunscreen in Schools']
['year', 'month', 'day', 'daily county-level population weighted erythemally weighted daily dose, with the unit of J/m2', 'daily county-level population weighted erythemally weighted irradiance at local solar noon time, with the unit of Mw/m2', 'daily county-level population weighted spectral irradiance at local solar noon time at 305 nm, with the unit of mW/m2/nm', 'daily county-level population weighted spectral irradiance at local solar noon time at 310 nm, with the unit of mW/m2/nm', 'daily county-level population weighted spectral irradiance at local solar noon time at 324 nm, with the unit of mW/m2/nm', 'daily county-level population weighted spectral irradiance at local solar noon time at 380 nm, with the unit of mW/m2/nm']
[]
Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. www.cdc.gov/ephtracking.
None
Uniform Crime Reporting Program
['Uniform Crime Reporting Program (FBI)', 'Crime Data Explorer (CDE)']
['The CDE is an interactive tool that helps law enforcement and the public use and understand the massive amounts of crime data the FBI collects and publishes each year. The FBI’s Uniform Crime Reporting (UCR) Program manages the CDE. The CDE is part of the FBI’s broader effort to modernize reports of national crime data. It is a web-based solution that enables the public to view and interact with UCR Program data in an intuitive and user-friendly way. The CDE allows the public to query, view, and download data about crime (e.g. offense and arrest numbers) and law enforcement (e.g., law enforcement employee numbers, officers killed) that is submitted to the UCR Program in machine readable and open-source formats']
['eng']
[]
['Federal Bureau of Investigation (FBI)']
['Federal Bureau of Investigation (FBI)']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Safety']
['Health', 'Society']
['Crime', 'Law', 'Assualt', 'Offence']
['1960-2022']
None
[2020, 2021, 2022, 2023]
[]
['United States']
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None
None
False
[]
[]
[]
[]
[]
[]
[]
['Public']
[]
[]
Public
JSON, CSV
None
{'http://schema.org/url': 'https://cde.ucr.cjis.gov/LATEST/webapp/#/pages/home'}
None
herop-nfvcud
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['County', 'State', 'Other']
['040US*']
None
[]
[]
[]
None
The CDE pages provide a view of estimated national and state data, reported agency-level crime statistics, and graphs of specific variables from the National Incident-Based Reporting System (NIBRS).
Urban Parks (ParkServe)
['ParkServe']
['Urban park data for over 15,000 cities and towns across the U.S. Included in the data downloads are park polygons, park 10-minute walk service areas, park priority areas, trails and playgrounds in parks.']
['eng']
['Info: ParkServe is partially crowdsourced and regularly updated. Only the most recent update is available for download at any given time, and data should be understood as incomplete.']
['Trust for Public Land']
['Trust for Public Land']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Collections', 'Datasets']
['Line data', 'Polygon data']
['Greenspaces']
['Land Cover', 'Society']
['Urban Environment', 'Park']
['2024']
2024
[2024]
[]
['United States']
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None
None
True
[]
[]
[]
[]
[]
[]
[]
['© 2024 The Trust for Public Land, 101 Montgomery Street, Suite 900, San Francisco, California 94104 U.S.A. All rights reserved. Other parties may hold or claim proprietary, trademark, service mark and copyright interests in material on or delivered from this website. Materials on this website may not be copied, reproduced, modified, published, uploaded, posted, transmitted, or distributed in any way, without the prior written consent of The Trust for Public Land and/or the party holding rights to such material. Notwithstanding the previous sentence, you may download one copy of the information on this website for personal, non-commercial use. If you download, you may not modify the materials, use them for a commercial purpose or for public display, remove any copyright or trademark information, transfer the materials to another person, or allow unauthorized copying of the materials.']
['Trust for Public Land']
[]
Public
Excel, Geodatabase, Shapefile, Geojson
None
{'http://schema.org/url': 'https://www.tpl.org/park-data-downloads', 'http://lccn.loc.gov/sh85035852': 'https://www.tpl.org/ParkServe/About'}
None
herop-fhfxqq
[]
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Other']
[]
Resolution varies by dataset and field
[]
[]
['ParkScore']
ParkServe. (2023, May 24). Trust for Public Land. https://www.tpl.org/parkserve
There are multiple download options available for the ParkServe database. Explore the Discovery Platform for more details.
Urbanicity by Census Tract (NaNDA)
['NaNDA Urbanicity by Census Tract, United States, 2010']
['This dataset contains measures of the urban/rural characteristics of each census tract in the United States. These include proportions of urban and rural population, population density, rural/urban commuting area (RUCA) codes, and RUCA-based four- and seven-category urbanicity scales.']
['eng']
[]
['University of Michigan. Institute for Social Research.']
['University of Michigan. Institute for Social Research.']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Polygon data']
['Neighborhood and Built Environment']
['Land Cover', 'Society']
['census tract level', 'geography', 'population density', 'rural areas', 'urban areas']
['2010']
None
[2010]
[]
['United States']
MULTIPOLYGON (((-67.15 18.5, -67.16 18.49, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.48, -67.17 18.47, -67.17 18.46, -67.16 18.45, -67.18 18.41, -67.19 18.4, -67.21 18.39, -67.24 18.38, -67.26 18.37, -67.26 18.37, -67.27 18.37, -67.27 18.36, -67.27 18.36, -67.27 18.35, -67.26 18.35, -67.25 18.32, -67.24 18.32, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.31, -67.24 18.3, -67.23 18.3, -67.23 18.3, -67.22 18.3, -67.19 18.27, -67.17 18.23, -67.17 18.18, -67.17 18.18, -67.17 18.18, -67.18 18.17, -67.19 18.16, -67.19 18.14, -67.19 18.13, -67.2 18.09, -67.2 18.08, -67.2 18.08, -67.21 18.04, -67.21 17.99, -67.22 17.99, -67.21 17.96, -67.21 17.95, -67.19 17.93, -67.19 17.93, -67.18 17.93, -67.15 17.95, -67.13 17.95, -67.12 17.95, -67.11 17.95, -67.11 17.95, -67.1 17.95, -67.09 17.95, -67.08 17.96, -67.04 17.97, -67 17.96, -66.98 17.95, -66.96 17.93, -66.93 17.93, -66.93 17.93, -66.92 17.93, -66.92 17.93, -66.92 17.93, -66.88 17.95, -66.87 17.95, -66.87 17.95, -66.87 17.95, 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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
csv|zip
1.9 MB
{'http://schema.org/url': 'https://archive.icpsr.umich.edu/view/studies/38606?page=1'}
None
herop-bfqrht
['https://doi.org/10.3886/ICPSR38606.v1']
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['Census Tract']
[]
None
['Urban/rural qualities of United States', 'Census tracts', 'RUCA codes', 'Population', 'Urban', 'Large rural', 'Small rural', 'Isolated primary', 'Commuting flow', 'Secondary commuting flow', 'Rural area']
['Unique identifier for each census tract (2010 FIPS code).', 'Total population of the tract from the Census.', 'Population in urban areas within the tract.', 'Population in urbanized areas (50,000+ people).', ' Population in urban clusters (2,500–49,999 people).', 'Population in rural areas within the tract.', 'Urban-Rural Classification Metrics', 'Percentage of the tract’s population classified as urban.', 'Percentage of the tract’s population classified as rural.', 'Urbanicity', 'Total population used for RUCA classification.', 'Primary RUCA code for the tract, based on commuting patterns and urban-rural status.', 'Secondary RUCA code for more granular classification.', 'A scaled version of the secondary RUCA code (e.g., multiplied by 10 for finer resolution).', 'RUCA classification grouped into 4 categories.', 'RUCA classification grouped into 7 categories.', 'Total land area of the tract in square miles.', 'Population density (total population per square mile).']
['Urbanicity']
Miller, Stephanie, Melendez, Robert, and Chenoweth, Megan. National Neighborhood Data Archive (NaNDA): Urbanicity by Census Tract, United States, 2010. Inter-university Consortium for Political and Social Research [distributor], 2022-12-12. https://doi.org/10.3886/ICPSR38606.v1
None
Voter Registration, Turnout, & Partisanship (NaNDA)
['NaNDA Voter Registration, Turnout, and Partisanship by County, United States, 2004-2018']
["This dataset contains counts of voter registration and voter turnout for all counties in the United States for the years 2004-2018. It also contains measures of each county's Democratic and Republican partisanship, including six-year longitudinal partisan indices for 2006-2016."]
['eng']
[]
['Chenoweth, Megan', 'Li, Mao', 'Gomez-Lopez, Iris N.', 'Kollman, Ken']
['University of Michigan. Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Demographics', 'Social and Community Context']
['Society']
['political partisanship', 'voter registration', 'voter turnout', 'voters']
['2004-2018']
2022-08-31
[2004, 2005, 2006, 2007, 2007, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
CSV
2.7 MB
{'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38506.v1'}
None
herop-gfeatu
['https://doi.org/10.3886/ICPSR38506.v1']
2025-04-03T14:01:19Z
SDOH PlaceProject
False
['County']
[]
Warning: Alaska and island territories are excluded in this dataset
['Voter Registration', 'Eligible Voters', 'Political Partisanship', 'Ballots Cast', 'Voting Population', 'CVAP', 'Voter Turnout']
['Number of registered voters', 'Number of votes for Democratic presidential candidate', 'Number of votes for Democratic senate candidate', 'Number of votes for Republican presidential candidate', 'Number of votes for Republican senate candidate', 'Percentage of eligible voters casting ballots (ballots_cast / cvap), top coded', 'Percentage of eligible voters registered (reg_voters / cvap), top coded', 'Percentage of registered voters casting ballots (ballots_cast / reg_voters), top coded', 'Percentage of votes for Democratic presidential candidate', 'Percentage of votes for Democratic senate candidate', 'Percentage of votes for Republican presidential candidate', 'Percentage of votes for Republican senate candidate', 'Ballots cast in general election, all races', 'Citizen voting age population', 'County FIPS code', 'Democratic partisanship index (Percentage of votes cast, past 6 years)', 'Republican partisanship index (Percentage of votes cast, past 6 years)', 'Year']
[]
Megan Chenoweth, University of Michigan. Institute for Social Research; Mao Li, University of Michigan. Institute for Social Research; Iris N. Gomez-Lopez, University of Michigan. Institute for Social Research; Ken Kollman, University of Michigan. Institute for Social Research
This dataset was created to explore the relationship between voter engagement (as expressed through registration and turnout rates), partisan political leanings, community health, and public policy.
Weather (NaNDA)
['NaNDA Weather by County, United States, 2003-2016']
['These datasets contain measures of weather by county in the United States for the years 2003-2016. Measures include average daily temperature, freezing days, cold days, hot days, rainy days, and snowy days.']
['eng']
[]
['University of Michigan Institute for Social Research']
['University of Michigan Institute for Social Research']
Healthy Regions & Policies Lab, University of Illinois, Urbana-Champaign
['Datasets']
['Table data']
['Natural Environment', 'Safety']
['Climate', 'Environment']
['Climate', 'Temperature']
['2003-2016']
None
[2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016]
[]
['United States']
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None
None
False
[]
[]
['herop-zrurpe']
[]
[]
[]
[]
[]
[]
[]
Public
None
None
{'http://schema.org/url': 'https://doi.org/10.3886/ICPSR38858.v1'}
None
herop-becxjm
['https://doi.org/10.3886/ICPSR38858.v1']
2025-06-16T16:20:45Z
SDOH PlaceProject
False
['County']
['']
None
['Climate', 'Neighborhoods', 'Weather', 'Weather Data', 'Weather Stations', 'Weather Conditions']
['180 day average of Prop. stations w/ average daily temperature', '30 day average of Prop. stations w/ average daily temperature', '365 day average of Prop. stations w/ average daily temperature', 'Average daily temperature (degrees C), all stations in county', 'County FIPS code', 'Date of observation', 'Value of mean_temp_avg (1-7 days ago)', 'Prop. stations w/ freezing temps', '>50% stations w/ freezing temps (1=yes/0=no)', '30 day average of Prop. stations w/ freezing temps', '30 day average when >50% stations report freezing temps', '180 day average of Prop. stations w/ freezing temps', '180 day average when >50% stations report freezing temps', '365 day average of Prop. stations w/ freezing temps', '365 day average when >50% stations report freezing temps', '730 day average of Prop. stations w/ freezing temps', '730 day average when >50% stations report freezing temps', 'Value of mean_frz_day (1-7 days ago)', 'Prop. stations w/ 1st percentile cold temps', '>50% stations w/ 1st percentile cold temps (1=yes/0=no)', '30 day average of Prop. stations w/ 1st percentile cold temps', '30 day average when >50% stations report 1st percentile cold temps', '180 day average of Prop. stations w/ 1st percentile cold temps', '180 day average of Prop. stations w/ 1st percentile cold temps', '365 day average of Prop. stations w/ 1st percentile cold temps', '365 day average when >50% stations report 1st percentile cold temps', '730 day average of Prop. stations w/ 1st percentile cold temps', '730 day average when >50% stations report 1st percentile cold temps', 'Value of mean_cold_day_p1 (1-7 days ago)', 'Value of mean_frz_day (1-7 days ago)', 'Prop. stations w/ 5th percentile cold temps', '>50% stations w/ 5th percentile cold temps (1=yes/0=no)', '30 day average of Prop. stations w/ 5th percentile cold temps', '30 day average when >50% stations report 5th percentile cold temps', '180 day average of Prop. stations w/ 5th percentile cold temps', '180 day average of Prop. stations w/ 5th percentile cold temps', '365 day average of Prop. stations w/ 5th percentile cold temps', '365 day average when >50% stations report 5th percentile cold temps', '730 day average of Prop. stations w/ 5th percentile cold temps', '730 day average when >50% stations report 5th percentile cold temps', 'Value of mean_cold_day_p5 (1-7 days ago)', 'Prop. stations w/ 95th percentile hot temps', '>50% stations w/ 95th percentile hot temps (1=yes/0=no)', '30 day average of Prop. stations w/ 95th percentile hot temps', '30 day average when >50% stations report 95th percentile hot temps', '30 day average of Prop. stations w/ 95th percentile hot temps', '180 day average when >50% stations report 95th percentile hot temps', '180 day average of Prop. stations w/ 95th percentile hot temps', '365 day average when >50% stations report 95th percentile hot temps', '365 day average of Prop. stations w/ 95th percentile hot temps', '730 day average when >50% stations report 95th percentile hot temps', '730 day average of Prop. stations w/ 95th percentile hot temps', 'Value of mean_hot_day_p95 (1-7 days ago)', 'Prop. stations w/ 99th percentile hot temps', '>50% stations w/ 99th percentile hot temps (1=yes/0=no)', '30 day average of Prop. stations w/ 99th percentile hot temps', '30 day average when >50% stations report 99th percentile hot temps', '30 day average of Prop. stations w/ 99th percentile hot temps', '180 day average when >50% stations report 99th percentile hot temps', '180 day average of Prop. stations w/ 99th percentile hot temps', '365 day average when >50% stations report 99th percentile hot temps', '365 day average of Prop. stations w/ 99th percentile hot temps', '730 day average when >50% stations report 99th percentile hot temps', '730 day average of Prop. stations w/ 99th percentile hot temps', 'Value of mean_hot_day_p99 (1-7 days ago)', 'Prop. stations w/ rain', '>50% stations w/ rain (1=yes/0=no)', '30 day average of Prop. stations w/ rain', '30 day average when >50% stations report rain', '180 day average of Prop. stations w/ rain', '180 day average when >50% stations report rain', '365 day average of Prop. stations w/ rain', '365 day average when >50% stations report rain', '730 day average of Prop. stations w/ rain', '730 day average when >50% stations report rain', 'Value of mean_rained (1-7 days ago)', 'Prop. stations w/ snow', '>50% stations w/ snow (1=yes/0=no)', '30 day average of Prop. stations w/ snow', '30 day average when >50% stations report snow', '180 day average of Prop. stations w/ snow', '180 day average when >50% stations report snow', '365 day average of Prop. stations w/ snow', '365 day average when >50% stations report snow', '730 day average of Prop. stations w/ snow', '730 day average when >50% stations report snow', 'Value of snow_rained (1-7 days ago)']
[]
Gronlund, Carina, Melendez, Robert, Gypin, Lindsay, and Clarke, Philippa. National Neighborhood Data Archive (NaNDA): Weather by County, United States, 2003-2016. Inter-university Consortium for Political and Social Research [distributor], 2023-09-14. https://doi.org/10.3886/ICPSR38858.v1
None