Non-specialized counties are those that did not have a high concentration of earnings or jobs in any one of farming, mining, manufacturing, or Federal and State Government and did not have a high concentration of economic activity (as measured using a weighted index) in recreation. Metropolitan and non metropolitan areas are based on the U.S. Office of Management and Budget 2023 delineation of core based statistical areas.
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Low education counties are those where at least 57 percent of residents ages 25 to 64 did not have any post-secondary education in the 2018–22 5-year American Community Survey (ACS). Metropolitan and nonmetropolitan areas are based on the U.S. Office of Management and Budget 2023 delineation of core based statistical areas.
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Low employment counties are those where less than 63 percent of residents ages 25 to 54 were employed in the 2018–22 5-year ACS.Metropolitan and nonmetropolitan areas are based on the U.S. Office of Management and Budget 2023 delineation of core based statistical areas.
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Mining dependent counties are those where at least 11 percent of the county’s annual average earnings came from mining, quarrying, and oil and gas extraction or at least 7 percent of the annual average number of jobs in the county were in mining, quarrying, and oil and gas extraction over the 3-year average of 2019, 2021, and 2022.
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Farming dependent counties are those where at least 20 percent of the county’s annual average labor and proprietors’ earnings came from farming or at least 17 percent of the annual average number of jobs in the county were derived from farming over the 3-year average of 2019, 2021, and 2022.
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The Social Vulnerability Index map displays the final Social Vulnerability Index Score and the four theme scores (Socioeconomic, Household Composition, Minority Status, and Housing & Transportation) of each county/census tract ranked against all counties/tracts in the United States. County and tract level data are acquired from the CDC/ATSDR Social Vulnerability Index, 2020.
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The 2020 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 2020 ADI was constructed using the 2016-2020 5-year estimates from the US Census’ American Community Survey.
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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.
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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.
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The Area Deprivation Index has been publically released! 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.
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