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.
The Centers for Disease Control and Prevention (CDC), Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI), or CDC/ATSDR SVI, is a database that helps emergency response planners and public health officials identify, map, and plan support for communities that will most likely need support before, during, and after a public health emergency.
CDC/ATSDR and the HHS Office of Minority Health developed the Minority Health Social Vulnerability Index (Minority Health SVI) to enhance existing resources to support the identification of racial and ethnic minority communities at the greatest risk for disproportionate impact and adverse outcomes due to the COVID-19 pandemic.
The Minority Health SVI is an extension of the CDC/ATSDR SVI that includes additional variables for race, ethnicity, language, medical vulnerability, and health care infrastructure. The Minority Health SVI is grouped into six themes: Socioeconomic Status, Household Composition and Disability, Minority Status and Language, Housing Type and Transportation, Health Care Infrastructure, and Medical Vulnerability. Each theme has a percentile ranking represented as a value between 0 (least vulnerable) and 1 (most vulnerable). An Overall Percentile Ranking combines these themes. For more information visit the Social Vulnerability Index website .
This layer displays the median download speed for a county as measured by the M-Lab speed test, available at speed.measurementlab.net . Data was aggregated from January-June, 2020. Data was accessed via the National Telecommunications and Information Administration (NTIA).
The Digital Divide Index or DDI ranges in value from 0 to 100, where 100 indicates the highest digital divide. It is composed of two scores, also ranging from 0 to 100: the infrastructure/adoption (INFA) score and
This layer displays the median download speed for a county or tract as measured by the Ookla speed test, available at speedtest.net . Data was aggregated from January-June, 2020. Data was accessed via the National Telecommunications and Information Administration (NTIA).
The National Land Cover Database (NLCD) serves as the definitive Landsat-based, 30-meter resolution, land cover database for the Nation. NLCD provides spatial reference and descriptive data for characteristics of the land surface such as thematic class (for example, urban, agriculture, and forest), percent impervious surface, and percent tree canopy cover. NLCD supports a wide variety of Federal, State, local, and nongovernmental applications that seek to assess ecosystem status and health, understand the spatial patterns of biodiversity, predict effects of climate change, and develop land management policy. NLCD products are created by the Multi-Resolution Land Characteristics (MRLC) Consortium, a partnership of Federal agencies led by the U.S. Geological Survey.
This updated dataset reports the number and percentage of people within a buffer of ½ mile radius of a park at the census tract level. Data were obtained from the Centers for Disease Control and Prevention (CDC) Environmental Public Health Tracking Network (EPHTN). Park boundaries used in the CDC analysis are from Esri StreetMap Premium/HERE, 2016, and the 2015 PAD-US.
The 2019 Area Deprivation Index is now available! The ADI map displays 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 2019 ADI was constructed using the 2015-2019 5-year estimates from the US Census’ American Community Survey.
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.
This layer displays the change in census tracts labeled as Food Deserts from 2015 to 2019. 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.