52 datasets found
  1. d

    Data from: CDC Social Vulnerability Index (CDCSVI)

    • catalog.data.gov
    • data.kingcounty.gov
    Updated Sep 16, 2022
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    data.kingcounty.gov (2022). CDC Social Vulnerability Index (CDCSVI) [Dataset]. https://catalog.data.gov/dataset/cdc-social-vulnerability-index-cdcsvi
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    Dataset updated
    Sep 16, 2022
    Dataset provided by
    data.kingcounty.gov
    Description

    The Centers for Disease Control Social Vulnerability Index shows which communities are especially at risk during public health emergencies because of factors like socioeconomic status, household composition, racial composition of neighborhoods, or housing type and transportation. The CDC SVI uses 15 U.S. census variables to identify communities that may need support before, during, or after disasters. Learn more here. The condition is the overall ranking of four social theme rankings where lower values indicate high vulnerability and high values indicate low vulnerability. Quintiles for this condition were determined for all the Census tracts in King County. Quintile 1 is the most vulnerable residents, Quintile 5 is the least vulnerable residents. Data is released every 2 years following the American Community Survey release in December of the year following the Survey. The most recent data for 2018 was downloaded from the ATSDR website.

  2. c

    CDC Social Vulnerability Index 2018

    • hub.scag.ca.gov
    • hub.arcgis.com
    Updated Jun 25, 2021
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    CDC Social Vulnerability Index 2018 [Dataset]. https://hub.scag.ca.gov/maps/18981b657cf04f2dbe0df065f20581db
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    Dataset updated
    Jun 25, 2021
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This feature layer visualizes the 2018 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract15 social factors grouped into four major themesIndex value calculated for each county for the 15 social factors, four major themes, and the overall rankWhat is CDC Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2018 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the fifteen individual variables, 2) the four themes, and 3) its overall position. Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCounties in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags. SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)Methods for CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2018 Full DocumentationSVI Home PageContact the SVI Coordinator

  3. CDC/ATSDR Social Vulnerability Index 2020 USA

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Feb 14, 2025
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    Centers for Disease Control and Prevention (2025). CDC/ATSDR Social Vulnerability Index 2020 USA [Dataset]. https://hub.arcgis.com/maps/3827cb5593174c79b35119611299279b
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    Dataset updated
    Feb 14, 2025
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    Description

    OverviewThis feature layer visualizes the 2020 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract16 social factors grouped into four major themesIndex value calculated for each county for the 16 social factors, four major themes, and the overall rankWhat is CDC/ATSDR Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created the Social Vulnerability Index (SVI) to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.SVI uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 16 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:Theme 1 - Socioeconomic StatusTheme 2 - Household CharacteristicsTheme 3 - Racial & Ethnic Minority StatusTheme 4 - Housing Type & Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2020 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the sixteen individual variables, 2) the four themes, and 3) its overall position. Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic Status - RPL_THEME1Household Characteristics - RPL_THEME2Racial & Ethnic Minority Status - RPL_THEME3Housing Type & Transportation - RPL_THEME4FlagsCounties and tracts in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties and tracts below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags. SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)Methods for CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2020 Full DocumentationSVI Home PageContact the SVI Coordinator

  4. CDC/ATSDR Social Vulnerability Index 2022 USA

    • hub.arcgis.com
    Updated Nov 27, 2024
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    CDC/ATSDR Social Vulnerability Index 2022 USA [Dataset]. https://hub.arcgis.com/maps/f2af3fd35858443293b75d5f73c7d4d3
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    Dataset updated
    Nov 27, 2024
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    OverviewThis map visualizes the 2022 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract16 social factors grouped into four major themesIndex value calculated for each county for the 16 social factors, four major themes, and the overall rankWhat is CDC/ATSDR Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created the Social Vulnerability Index (SVI) to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.SVI uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 16 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:Socioeconomic StatusHousehold CharacteristicsRacial & Ethnic Minority StatusHousing Type & TransportationVariablesFor a detailed description of variable uses, please refer to the full SVI 2022 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. The feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the sixteen individual variables, 2) the four themes, and 3) its overall position.Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES.Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are:Socioeconomic Status - RPL_THEME1Household Characteristics - RPL_THEME2Racial & Ethnic Minority Status - RPL_THEME3Housing Type & Transportation - RPL_THEME4FlagsCounties and tracts in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties and tracts below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags.SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2022 Full DocumentationSVI Home PageContact the SVI Coordinator

  5. d

    CDC's Social Vulnerability Index (SVI).

    • datadiscoverystudio.org
    • data.virginia.gov
    • +4more
    html
    Updated Jun 9, 2018
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    (2018). CDC's Social Vulnerability Index (SVI). [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/9c3303d8d6cb4af7a74de6235b461228/html
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Jun 9, 2018
    Description

    description:

    Social vulnerability refers to the resilience of communities when confronted by external stresses on human health, stresses such as natural or human-caused disasters, or disease outbreaks. Reducing social vulnerability can decrease both human suffering and economic loss. ATSDR's Social Vulnerability Index uses U.S. census variables at tract level to help local officials identify communities that may need support in preparing for hazards, or recovering from disaster.

    ; abstract:

    Social vulnerability refers to the resilience of communities when confronted by external stresses on human health, stresses such as natural or human-caused disasters, or disease outbreaks. Reducing social vulnerability can decrease both human suffering and economic loss. ATSDR's Social Vulnerability Index uses U.S. census variables at tract level to help local officials identify communities that may need support in preparing for hazards, or recovering from disaster.

  6. H

    Extracted Data From: CDC/ATSDR Social Vulnerability Index

    • dataverse.harvard.edu
    Updated Feb 18, 2025
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    Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry (2025). Extracted Data From: CDC/ATSDR Social Vulnerability Index [Dataset]. http://doi.org/10.7910/DVN/MZF7XQ
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Harvard Dataverse
    Authors
    Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2000 - Dec 31, 2000
    Area covered
    United States
    Description

    This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information If you have questions about the underlying data stored here, please contact the Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry at svi_coordinator@cdc.gov. If you have questions about this metadata entry, please contact the CAFE team at climatecafe@bu.edu. Centers for Disease Control and Prevention/ Agency for Toxic Substances and Disease Registry/ Geospatial Research, Analysis, and Services Program. CDC/ATSDR Social Vulnerability Index [2022, 2020, 2018, 2016, 2014, 2010, and 2000] Database [U.S.]. https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html Accessed on 17 December, 2024. "The Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry Social Vulnerability Index (hereafter, CDC/ATSDR SVI or SVI) is a place-based index, database, and mapping application designed to identify and quantify communities experiencing social vulnerability. The Geospatial Research, Analysis & Services Program (GRASP) maintains the CDC/ATSDR SVI to help public health officials and local planners better prepare for and respond to emergency events with the goal of decreasing human suffering, economic loss, and health inequities." [Quote from https://www.atsdr.cdc.gov/place-health/php/svi/]

  7. CDC Social Vulnerability Index (SVI) Mapping Dashboard

    • data.virginia.gov
    • datasets.ai
    • +1more
    html
    Updated Feb 13, 2020
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    Centers for Disease Control and Prevention (2020). CDC Social Vulnerability Index (SVI) Mapping Dashboard [Dataset]. https://data.virginia.gov/dataset/cdc-social-vulnerability-index-svi-mapping-dashboard
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    htmlAvailable download formats
    Dataset updated
    Feb 13, 2020
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The interactive maps are visual representations of the Social Vulnerability Index (SVI). Data were extracted from the US Census and the American Community Survey.

  8. H

    CDC Social Vulnerability Index 2014

    • beta.hydroshare.org
    • hydroshare.org
    • +1more
    zip
    Updated Nov 6, 2023
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    U.S. Centers for Disease Control and Prevention / Agency for Toxic Substances and Disease Registry / Geospatial Research, Analysis, and Services Program (2023). CDC Social Vulnerability Index 2014 [Dataset]. http://doi.org/10.4211/hs.034ed154a48b4b4e9a06ad498efd7794
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    zip(109.3 MB)Available download formats
    Dataset updated
    Nov 6, 2023
    Dataset provided by
    HydroShare
    Authors
    U.S. Centers for Disease Control and Prevention / Agency for Toxic Substances and Disease Registry / Geospatial Research, Analysis, and Services Program
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This is the Social Vulnerability Index (SVI) developed by the U.S. Centers for Disease Control (CDC) Agency for Toxic Substances and Disease Registry (ATSDR) [1]. This is often used by the emergency response community to anticipate areas where social support systems are weaker, and residents may be more likely to need help. A map viewer for the national database can be found here [2].

    November 2023 updates: at the time of Hurricane Harvey, the latest SVI was based on 2014 census data. The CDC SVI website and feature services have since changed. See the current (updated) links for more details.

    Subsets of CDC's 2014 SVI for the Hurricane Harvey and Hurricane Irma hydrologic study areas can be downloaded from the contents list below.

    [1] SVI web site [https://www.atsdr.cdc.gov/placeandhealth/svi/index.html [2] SVI interactive map [https://www.atsdr.cdc.gov/placeandhealth/svi/interactive_map.html]

  9. CDC’s Social Vulnerability Index (SVI) – 2016 overall SVI, county level

    • coronavirus-disasterresponse.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 28, 2018
    + more versions
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    Centers for Disease Control and Prevention (2018). CDC’s Social Vulnerability Index (SVI) – 2016 overall SVI, county level [Dataset]. https://coronavirus-disasterresponse.hub.arcgis.com/datasets/cdcarcgis::cdcs-social-vulnerability-index-svi-2016-overall-svi-county-level/api
    Explore at:
    Dataset updated
    Mar 28, 2018
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This feature layer visualizes the 2016 overall SVI for U.S. countiesSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county15 social factors grouped into four major themesIndex value calculated for each county for the 15 social factors, four major themes, and the overall rankWhat is CDC's Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county. The SVI ranks each county on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the full 2016 SVI documentation.RankingsWe ranked counties for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. County rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county, we generated its percentile rank among all counties for 1) the fifteen individual variables, 2) the four themes, and 3) Its overall position. Overall Rankings:We summed the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note; taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCounties in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the number of all variable flags. SVI Informational VideosIntroduction to CDC’s Social Vulnerability Index (SVI)Methods for CDC’s Social Vulnerability Index (SVI)More Questions?2016 SVI Full DocumentationSVI Home PageContact the SVI Coordinator

  10. v

    CDC Social Vulnerability Index 2018 - USA

    • anrgeodata.vermont.gov
    • prep-response-portal.napsgfoundation.org
    • +7more
    Updated Apr 23, 2020
    + more versions
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    Cityworks (2020). CDC Social Vulnerability Index 2018 - USA [Dataset]. https://anrgeodata.vermont.gov/datasets/2e18e09e9d87480ca29b8ff044d1a5b6
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    Dataset updated
    Apr 23, 2020
    Dataset authored and provided by
    Cityworks
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This feature layer visualizes the 2018 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract15 social factors grouped into four major themesIndex value calculated for each county for the 15 social factors, four major themes, and the overall rankWhat is CDC Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2018 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the fifteen individual variables, 2) the four themes, and 3) its overall position. Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCounties in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags. SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)Methods for CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2018 Full DocumentationSVI Home PageContact the SVI Coordinator

  11. c

    Minority/Language Theme - Counties

    • hub.scag.ca.gov
    • covid-hub.gio.georgia.gov
    • +2more
    Updated Jun 25, 2021
    + more versions
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    rdpgisadmin (2021). Minority/Language Theme - Counties [Dataset]. https://hub.scag.ca.gov/datasets/18981b657cf04f2dbe0df065f20581db
    Explore at:
    Dataset updated
    Jun 25, 2021
    Dataset authored and provided by
    rdpgisadmin
    Area covered
    Pacific Ocean, North Pacific Ocean
    Description

    This feature layer visualizes the 2018 overall SVI for U.S. counties and tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. county and tract15 social factors grouped into four major themesIndex value calculated for each county for the 15 social factors, four major themes, and the overall rankWhat is CDC Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every county and tract. CDC SVI ranks each county and tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the full SVI 2018 documentation.RankingsWe ranked counties and tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of counties in multiple states, or across the U.S. as a whole. Rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each county and tract, we generated its percentile rank among all counties and tracts for 1) the fifteen individual variables, 2) the four themes, and 3) its overall position. Overall Rankings:We totaled the sums for each theme, ordered the counties, and then calculated overall percentile rankings. Please note: taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCounties in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Counties below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each county as the total number of all variable flags. SVI Informational VideosIntroduction to CDC Social Vulnerability Index (SVI)Methods for CDC Social Vulnerability Index (SVI)More Questions?CDC SVI 2018 Full DocumentationSVI Home PageContact the SVI Coordinator

  12. d

    CDC s Social Vulnerability Index (SVI) 2014 overall SVI, census tract level...

    • datadiscoverystudio.org
    csv, geojson, kml +1
    Updated Jun 6, 2018
    + more versions
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    (2018). CDC s Social Vulnerability Index (SVI) 2014 overall SVI, census tract level - Wake County. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/0aaa311d95b14f6db5d3f7c2f9a9d1f0/html
    Explore at:
    kml, geojson, zip, csvAvailable download formats
    Dataset updated
    Jun 6, 2018
    Description

    description:

    • This feature layer visualizes the 2014 overall SVI for U.S. census tracts
    • Social Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. census tract

    • 15 social factors grouped into four major themes

    • Index value calculated for each census tract for the 15 social factors, four major themes, and the overall rank
    What is CDC's Social Vulnerability Index?
    ATSDR s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.

    The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every census tract. The SVI ranks eachcensus tracton 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:
    • Socioeconomic
    • Housing Composition and Disability
    • Minority Status and Language
    • Housing and Transportation
    Variables
    For a detailed description of variable uses, please refer to thefull 2014 SVI documentation.

    Rankings
    We ranked census tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of census tracts in multiple states, or across the U.S. as a whole. Census tractrankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each census tract, we generated its percentile rank among all census tracts for 1) the fifteen individual variables, 2) the four themes, and 3) Its overall position.

    Overall Rankings:
    We summed the sums for each theme, ordered the census tracts, and then calculated overallpercentile rankings. Please note; taking the sum of the sums for each theme is the same as summing individualvariable rankings.

    The overall tract summary ranking variable is RPL_THEMES.

    Theme rankings:
    For each of the four themes, we summed the percentiles for the variables comprising eachtheme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings.The four summary theme ranking variables are:
    • Socioeconomic theme - RPL_THEME1
    • Housing Composition and Disability - RPL_THEME2
    • Minority Status & Language - RPL_THEME3
    • Housing & Transportation - RPL_THEME4

    Flags
    Census tractsin the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Census tracts below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overallflag value for each census tract as the number of all variable flags.

    ; abstract:
    • This feature layer visualizes the 2014 overall SVI for U.S. census tracts
    • Social Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. census tract

    • 15 social factors grouped into four major themes

    • Index value calculated for each census tract for the 15 social factors, four major themes, and the overall rank
    What is CDC's Social Vulnerability Index?
    ATSDR s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.

    The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every census tract. The SVI ranks eachcensus tracton 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:
    • Socioeconomic
    • Housing Composition and Disability
    • Minority Status and Language
    • Housing and Transportation
    Variables
    For a detailed description of variable uses, please refer to thefull 2014 SVI documentation.

    Rankings
    We ranked census tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of census tracts in multiple states, or across the U.S. as a whole. Census tractrankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each census tract, we generated its percentile rank among all census tracts for 1) the fifteen individual variables, 2) the four themes, and 3) Its overall position.

    Overall Rankings:
    We summed the sums for each theme, ordered the census tracts, and then calculated overallpercentile rankings. Please note; taking the sum of the sums for each theme is the same as summing individualvariable rankings.

    The overall tract summary ranking variable is RPL_THEMES.

    Theme rankings:
    For each of the four themes, we summed the percentiles for the variables comprising eachtheme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings.The four summary theme ranking variables are:
    • Socioeconomic theme - RPL_THEME1
    • Housing Composition and Disability - RPL_THEME2
    • Minority Status & Language - RPL_THEME3
    • Housing & Transportation - RPL_THEME4

    Flags
    Census tractsin the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Census tracts below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overallflag value for each census tract as the number of all variable flags.

  13. CDC’s Social Vulnerability Index (SVI) – 2016 overall SVI, census tract...

    • hub.arcgis.com
    • coronavirus-resources.esri.com
    • +1more
    Updated Mar 28, 2018
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    Centers for Disease Control and Prevention (2018). CDC’s Social Vulnerability Index (SVI) – 2016 overall SVI, census tract level [Dataset]. https://hub.arcgis.com/datasets/62b3e305b730423782c64b9696242c5e
    Explore at:
    Dataset updated
    Mar 28, 2018
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    This feature layer visualizes the 2016 overall SVI for U.S. census tractsSocial Vulnerability Index (SVI) indicates the relative vulnerability of every U.S. census tract15 social factors grouped into four major themesIndex value calculated for each census tract for the 15 social factors, four major themes, and the overall rankWhat is CDC's Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) has created a tool to help emergency response planners and public health officials identify and map the communities that will most likely need support before, during, and after a hazardous event.The Social Vulnerability Index (SVI) uses U.S. Census data to determine the social vulnerability of every census tract. The SVI ranks each census tract on 15 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes:SocioeconomicHousing Composition and DisabilityMinority Status and LanguageHousing and Transportation VariablesFor a detailed description of variable uses, please refer to the 2016 SVI Full Documentation.RankingsWe ranked census tracts for the entire United States against one another. This feature layer can be used for mapping and analysis of relative vulnerability of census tracts in multiple states, or across the U.S. as a whole. Census tract rankings are based on percentiles. Percentile ranking values range from 0 to 1, with higher values indicating greater vulnerability. For each census tract, we generated its percentile rank among all census tracts for 1) the fifteen individual variables, 2) the four themes, and 3) Its overall position. Overall Rankings:We summed the sums for each theme, ordered the census tracts, and then calculated overall percentile rankings. Please note; taking the sum of the sums for each theme is the same as summing individual variable rankings.The overall tract summary ranking variable is RPL_THEMES. Theme rankings:For each of the four themes, we summed the percentiles for the variables comprising each theme. We ordered the summed percentiles for each theme to determine theme-specific percentile rankings. The four summary theme ranking variables are: Socioeconomic theme - RPL_THEME1Housing Composition and Disability - RPL_THEME2Minority Status & Language - RPL_THEME3Housing & Transportation - RPL_THEME4FlagsCensus tracts in the top 10%, i.e., at the 90th percentile of values, are given a value of 1 to indicate high vulnerability. Census tracts below the 90th percentile are given a value of 0. For a theme, the flag value is the number of flags for variables comprising the theme. We calculated the overall flag value for each census tract as the number of all variable flags. SVI Informational VideosIntroduction to CDC’s Social Vulnerability Index (SVI)Methods for CDC’s Social Vulnerability Index (SVI)More Questions?2016 SVI Full DocumentationSVI Home PageContact the SVI Coordinator

  14. U.S. Social Vulnerability Index Grids, Revision 01

    • data.nasa.gov
    • datasets.ai
    • +5more
    application/rdfxml +5
    Updated Dec 25, 2023
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    (2023). U.S. Social Vulnerability Index Grids, Revision 01 [Dataset]. https://data.nasa.gov/dataset/U-S-Social-Vulnerability-Index-Grids-Revision-01/57f6-auga
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    csv, xml, json, application/rdfxml, application/rssxml, tsvAvailable download formats
    Dataset updated
    Dec 25, 2023
    Description

    The U.S. Social Vulnerability Index Grids, Revision 01 data set contains gridded layers for the overall Centers for Disease Control and Prevention (CDC) Social Vulnerability Index (SVI) using four sub-category themes (Socioeconomic, Household Composition & Disability, Minority Status & Language, and Housing Type & Transportation) based on census tract level inputs from 15 variables for the years 2000, 2010, 2014, 2016, 2018, and 2020. SVI values range between 0 and 1 based on their percentile position among all census tracts in the U.S., with 0 representing lowest vulnerability census tracts and 1 representing highest vulnerability census tracts. SEDAC has gridded these vector inputs to create 1 kilometer spatial resolution raster surfaces allowing users to obtain vulnerability metrics for any user-defined area within the U.S. Utilizing inputs from CIESIN's Gridded Population of the World, Version 4 (GPWv4) Revision 11 data sets, a mask is applied for water, and optionally, for no population. The data are provided in two different projection formats, NAD83 as a U.S. specific standard, and WGS84 as a global standard. The goal of the SVI is to help identify vulnerable commUnities by ranking them on these inputs across the U.S.

  15. W

    VA CDC SVI BlockGroup 2020

    • opendata.winchesterva.gov
    • data.virginia.gov
    url
    Updated Sep 30, 2024
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    Virginia State Data (2024). VA CDC SVI BlockGroup 2020 [Dataset]. https://opendata.winchesterva.gov/dataset/va-cdc-svi-blockgroup-2020
    Explore at:
    urlAvailable download formats
    Dataset updated
    Sep 30, 2024
    Dataset provided by
    Virginia Department of Conservation and Recreation
    Authors
    Virginia State Data
    Description

    Overall Social Vulnerability at Census Block Group based on the following 4 themes: Socioeconomic, Household Composition, Minority Status and language, Housing Type and Transportation.

    Percentile ranking values range from 0 to 1, with higher values indicating greater social vulnerability.

    Every community must prepare for and respond to hazardous events, whether a natural disaster like a tornado or a disease outbreak, or an anthropogenic event such as a harmful chemical spill. The degree to which a community exhibits certain social conditions, including high poverty, low percentage of vehicle access, or crowded households, among others, may affect that community’s ability to prevent human suffering and financial loss in the event of a disaster. These factors describe a community’s social vulnerability.

    To learn more about the CDC SVI Methodology please visit: https://www.atsdr.cdc.gov/placeandhealth/svi/index.html

    DCR prepared a SVI Data at census block level (CDC analyzes to Census Tract only) from the following sources:

    Credit to IPUMS National Historical Geographic Information System (NHGIS) for providing geographic features that correspond to summary data from the U.S. 2020 Decennial Census and American Community Survey, at the geographic summary level of Block Group. NHGIS derived this shapefile from the U.S. Census Bureau's 2020 TIGER/Line Shapefiles.

    Credit to Micheal Bryan, 2022 for publishing CDC SVI data at census block scale for more information visit:

    https://github.com/OpenEnvironments/blockgroupvulnerability

  16. Social Vulnerability Index 2018 - United States, tract

    • data.virginia.gov
    • catalog.data.gov
    csv, json, rdf, xsl
    Updated Feb 14, 2022
    + more versions
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    Centers for Disease Control and Prevention (2022). Social Vulnerability Index 2018 - United States, tract [Dataset]. https://data.virginia.gov/dataset/social-vulnerability-index-2018-united-states-tract
    Explore at:
    rdf, xsl, json, csvAvailable download formats
    Dataset updated
    Feb 14, 2022
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event.

    SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking.

    In addition to tract-level rankings, SVI 2018 also has corresponding rankings at the county level. Notes below that describe “tract” methods also refer to county methods.

  17. V

    Social Vulnerability Index for Virginia by Census Tract, 2018

    • data.virginia.gov
    csv
    Updated Nov 22, 2024
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    Other (2024). Social Vulnerability Index for Virginia by Census Tract, 2018 [Dataset]. https://data.virginia.gov/dataset/social-vulnerability-index-for-virginia-by-census-tract-2018
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 22, 2024
    Dataset authored and provided by
    Other
    Area covered
    Virginia
    Description

    "ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI, hereafter) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event.

    SVI indicates the relative vulnerability of every U.S. Census tract. Census tracts are subdivisions of counties for which the Census collects statistical data. SVI ranks the tracts on 15 social factors, including unemployment, minority status, and disability, and further groups them into four related themes. Thus, each tract receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking."

    For more see https://www.atsdr.cdc.gov/place-health/php/svi/svi-data-documentation-download.html

  18. a

    Social Vulnerability Index 2020

    • egis-lacounty.hub.arcgis.com
    • data.lacounty.gov
    • +1more
    Updated Nov 28, 2022
    + more versions
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    County of Los Angeles (2022). Social Vulnerability Index 2020 [Dataset]. https://egis-lacounty.hub.arcgis.com/datasets/social-vulnerability-index-2020
    Explore at:
    Dataset updated
    Nov 28, 2022
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    The CDC\ATSDR Social Vulnerability Index (SVI) is a tool, created by the Geospatial Research, Analysis and Services Program (GRASP), to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. The tract-level SVI shows the relative vulnerability of the population of every Los Angeles County Census Tract. Tracts are ranked against other tracts in California.The SVI ranks tracts on 16 social factors, described in detail in the CDC\ATSDR documentation. The tract rankings for individual factors are further grouped into four related themes. Thus each enumeration unit receives a ranking for each Census variable and for each of the four themes, as well as an overall ranking.See complete documentation here: https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html. For additional questions, contact the SVI Lead at svi_coordinator@cdc.gov.How was this data created?The CSV file for California SVI was downloaded 11/28/22 from https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html. The table was joined to 2020 Census Tracts from the LA County eGIS Data Repository.Added Data Field:1. VULNERABILITY (Level of Vulnerability): High (SVI score 0.7501 to 1), Medium to High (SVI score 0.5001 to 0.7500), Low to Medium (SVI score 0.2501 to 0.5000), Low (0 to 0.2500), No data available

  19. D

    Provisional COVID-19 Deaths by Week and County Social Vulnerability Index

    • data.cdc.gov
    • healthdata.gov
    • +4more
    application/rdfxml +5
    Updated Sep 27, 2023
    + more versions
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    NCHS/DVS (2023). Provisional COVID-19 Deaths by Week and County Social Vulnerability Index [Dataset]. https://data.cdc.gov/w/9hdi-ekmb/tdwk-ruhb?cur=79dCtgsi3Y4
    Explore at:
    csv, xml, application/rssxml, tsv, application/rdfxml, jsonAvailable download formats
    Dataset updated
    Sep 27, 2023
    Dataset authored and provided by
    NCHS/DVS
    License

    https://www.usa.gov/government-workshttps://www.usa.gov/government-works

    Description

    Effective September 27, 2023, this dataset will no longer be updated. Similar data are accessible from wonder.cdc.gov.

    Deaths involving COVID-19 reported to NCHS by week and county Social Vulnerability Index (SVI) in the United States. SVI scores are from CDC/ASTDR's Geospatial Research, Analysis & Service Program 2018 database. These scores range from 0 to 1, and categorized as low (0-0.333), moderate (0.334-0.666) or high (0.667-1).

    More information on SVI can be found here: https://www.atsdr.cdc.gov/placeandhealth/svi/index.html

  20. CDC 2019 (Calculated) Social Vulnerability Index by County and Tracts for...

    • geodata-adhsgis.hub.arcgis.com
    • azgeo-open-data-agic.hub.arcgis.com
    Updated Oct 7, 2021
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    Arizona Department of Health Services (2021). CDC 2019 (Calculated) Social Vulnerability Index by County and Tracts for Arizona [Dataset]. https://geodata-adhsgis.hub.arcgis.com/maps/0e3cbb8eb9804b9283d880d37c4022ca
    Explore at:
    Dataset updated
    Oct 7, 2021
    Dataset authored and provided by
    Arizona Department of Health Services
    Area covered
    Description

    ATSDR’s Geospatial Research, Analysis & Services Program (GRASP) created the Centers for Disease Control and Prevention Social Vulnerability Index (CDC SVI or simply SVI) to help public health officials and emergency response planners identify and map the communities that will most likely need support before, during, and after a hazardous event. The SVI is derived from American Community Survey (ACS), 5-year data. The CDC releases updated SVI data every two years. The Arizona Department of Health Services (ADHS) calculates yearly SVI updates in between CDC release years using an R script to reproduce CDC's SVI calculations and newly released ACS 5-year data.All methods and background information for SVI can be found at: https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2018.htmlAs the R script is merely a reproduction of the CDC's calculations, any questions about the CDC's SVI methodology should be directed to svi_coordinator@cdc.govIf you find any discrepancies between the CDC's 2018 SVI values and the 2018 values generated from this R Script, please email gis@azdhs.gov.Please note that the SVI data set generated from this R script does not include 2 variables that are present in the CDC's data set. Those are AREA_SQMI (Tract area in square miles) and E_DAYPOP (Adjunct variable - Estimated daytime population, LandScan 2018). These variables do not affect the SVI calculations but may be useful for mapping the data.LAST UPDATED: October 2021UPDATE FREQUENCY: None planned

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data.kingcounty.gov (2022). CDC Social Vulnerability Index (CDCSVI) [Dataset]. https://catalog.data.gov/dataset/cdc-social-vulnerability-index-cdcsvi

Data from: CDC Social Vulnerability Index (CDCSVI)

Related Article
Explore at:
Dataset updated
Sep 16, 2022
Dataset provided by
data.kingcounty.gov
Description

The Centers for Disease Control Social Vulnerability Index shows which communities are especially at risk during public health emergencies because of factors like socioeconomic status, household composition, racial composition of neighborhoods, or housing type and transportation. The CDC SVI uses 15 U.S. census variables to identify communities that may need support before, during, or after disasters. Learn more here. The condition is the overall ranking of four social theme rankings where lower values indicate high vulnerability and high values indicate low vulnerability. Quintiles for this condition were determined for all the Census tracts in King County. Quintile 1 is the most vulnerable residents, Quintile 5 is the least vulnerable residents. Data is released every 2 years following the American Community Survey release in December of the year following the Survey. The most recent data for 2018 was downloaded from the ATSDR website.

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