This layer displays the location of hospitals that no longer provide in-patient care in rural settings since 2005. Hospitals may have closed completely or converted to provide some other healthcare services.
Prescription Drug Claims for Opioids by ZIP Code and County, 2018
Layer displays the percentage of claims for prescription drugs among Medicare Part D beneficiaries that were for opioid drugs in 2018. Data is available by county, ZIP Code Tabulation Area (ZCTA) and by physician (address).
Medical Debt in Collections, 2020
This layer displays debt information at the state and county levels from the Urban Institute’s 2021 Debt in America. Data includes medical debt, student loan debt, automobile debt, retail debt and any debt in collections based on December 2020 credit bureau records.
Internet Usage at Broadband Speeds
This layer displays the percent of people who use the internet at broadband speeds (Greater than 25 MBPS download speed). Data is derived from the Microsoft data science and analytics team, using anonymized user data and aggregated to the county level. State level averages were calculated by CARES using county averages weighted by population.
Presidential Election Results, 2020
2020 election results at the county-level are scraped from results published by Fox News, Politico, and the New York Times and made available on GitHub. Total votes cast were divided by the total citizen voting age population as reported by the U.S. Census Bureau 2019 5-year American Community Survey.
Hydrography – Rivers & Streams
Hydrography depicts surface water, including rivers and streams, lakes and ponds, canals, coastlines, and many other water features. The Hydrography layer combines two data sets: the 2021 National Map Hydrographic Geodatabase (1:1,000,000 scale) for small to medium scales, and the 2016 National Hydrography Datataset (NHD) (1:24,000 scale) for large scale mapping. Hydrography is depicted in two layers. Rivers & Streams depicts linear hydrography, including rivers, streams, canals, pipes, and artificial paths (line networks through larger water bodies). Waterbodies includes area hydrography, including larger rivers, lakes, ponds, seas, bays, estuaries, etc.
Change in Area Deprivation Index Scores (2015 to 2019) by Census Block Group
This map layer displays the change (+/-) in Area Deprivation Index (ADI) scores between the 2015 and 2019 datasets. The ADI is a rankings of neighborhoods by socioeconomic status disadvantage in a region of interest (e.g. at the state or national level). It includes factors for the theoretical domains of income, education, employment, and housing quality. It can be used to inform health delivery and policy, especially for the most disadvantaged neighborhood groups. The 2015 ADI (v2.0) was constructed using the 2011-2015 5-year estimates from the US Census’ American Community Survey (ACS); the 2019 ADI uses 2015-2019 5-year estimates from the ACS.
Heart Attack Hospitalizations by County, 2016-18
This layer displays the rate hospitalization for patients with an initial hospital admission for heart attack. Data are reported at the county level for the 2016-18 three-year period. Data are obtained from the Centers for Disease Control and Prevention (CDC) Interactive Atlas of Heart Disease and Stroke.
Food Desert Census Tracts, 2019
This layer displays the location of Food Deserts across the United States based on conditions in 2015. The Healthy Food Financing Initiative (HFFI) Working Group considers a food desert as a low-income census tract where a substantial number or share of residents has low access to a supermarket or large grocery store.
Tobacco Product Compliance Check Violations Involving Minors
This layer displays information obtained from analysis of the Food and Drug Administration (FDA) Compliance Check Inspections of Tobacco Product Retailers database. This database contains address-level records for each retailer inspection – including decision date, violation type, and tobacco product type – dating back to 2011. These address-level records are geocoded and aggregated to the county level for multi-year periods* based on the inspection result decision date. Percentages are calculated by dividing the number of inspections with violations (any or minor-related) by the total number inspections in a given area and reporting period.
Note: Multi-year periods are used to enable stable comparisons over time, as some counties have no inspections during a single reporting year.