100+ datasets found
  1. a

    Social Vulnerability Index (SVI) Interactive Map

    • usc-geohealth-hub-uscssi.hub.arcgis.com
    • uscssi.hub.arcgis.com
    • +1more
    Updated Nov 16, 2022
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    Spatial Sciences Institute (2022). Social Vulnerability Index (SVI) Interactive Map [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/documents/8dab19f59bf44065ae8284236ae11764
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    Dataset updated
    Nov 16, 2022
    Dataset authored and provided by
    Spatial Sciences Institute
    Description

    Every community must prepare for and respond to hazardous events, whether a natural disaster like a tornado or disease outbreak, or a human-made event such as a harmful chemical spill. A number of factors, including poverty, lack of access to transportation, and crowded housing may weaken a community’s ability to prevent human suffering and financial loss in a disaster. These factors are known as social vulnerability.Link to this page: https://www.atsdr.cdc.gov/placeandhealth/svi/interactive_map.html

  2. m

    Social Vulnerability Index Map (CDC/ATSDR)

    • gis.data.mass.gov
    Updated Mar 26, 2021
    + more versions
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    Massachusetts Emergency Management Agency (2021). Social Vulnerability Index Map (CDC/ATSDR) [Dataset]. https://gis.data.mass.gov/datasets/MEMAmaps::social-vulnerability-index-map-cdc-atsdr
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    Dataset updated
    Mar 26, 2021
    Dataset authored and provided by
    Massachusetts Emergency Management Agency
    Description

    From the CDC/ATSDR: "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. The CDC/ATSDR SVI uses 16 U.S. census variables to help local officials identify communities that may need support before, during or after disasters."For more information, visit the ATSDR website on social vulnerability.

  3. v

    CDC Social Vulnerability Index 2018 - USA / Overall SVI - Counties

    • anrgeodata.vermont.gov
    Updated Dec 22, 2021
    + more versions
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    Hub Community (2021). CDC Social Vulnerability Index 2018 - USA / Overall SVI - Counties [Dataset]. https://anrgeodata.vermont.gov/datasets/49634832c94a419cbba91050ecc831af
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    Dataset updated
    Dec 22, 2021
    Dataset authored and provided by
    Hub Community
    Area covered
    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

  4. Where are the most socially vulnerable populations in the U.S.?

    • hrtc-oc-cerf.hub.arcgis.com
    • resilience.climate.gov
    • +6more
    Updated Mar 3, 2020
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    Urban Observatory by Esri (2020). Where are the most socially vulnerable populations in the U.S.? [Dataset]. https://hrtc-oc-cerf.hub.arcgis.com/maps/2c8fdc6267e4439e968837020e7618f3
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    Dataset updated
    Mar 3, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Urban Observatory by Esri
    Area covered
    Description

    What is 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.What is the CDC/ATSDR Social Vulnerability Index?ATSDR’s Geospatial Research, Analysis, & Services Program (GRASP) created the Centers for Disease Control and Prevention and Agency for Toxic Substances and Disease Registry Social Vulnerability Index (hereafter, CDC/ATSDR SVI or 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.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 16 social factors, such as unemployment, racial and ethnic minority status, and disability status. Then, SVI further groups the factors 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.Below, text that describes “tract” methods also refers to county methods.How can the SVI help communities be better prepared for hazardous events?SVI provides specific socially and spatially relevant information to help public health officials and local planners better prepare communities to respond to emergency events such as severe weather, floods, disease outbreaks, or chemical exposure.SVI can be used to:Assess community need during emergency preparedness planning.Estimate the type and quantity of needed supplies such as food, water, medicine, and bedding.Decide the number of emergency personnel required to assist people.Identify areas in need of emergency shelters.Create a plan to evacuate people, accounting for those who have special needs, such as those without vehicles, the elderly, or people who do not speak English well.Identify communities that will need continued support to recover following an emergency or natural disaster.For more detailed methodology and attribute details, please review this document.

  5. a

    CDC Social Vulnerability Index 2018 Tract Level Web Map

    • data-wi-dnr.opendata.arcgis.com
    • hub.arcgis.com
    Updated Oct 20, 2021
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    Wisconsin Department of Natural Resources (2021). CDC Social Vulnerability Index 2018 Tract Level Web Map [Dataset]. https://data-wi-dnr.opendata.arcgis.com/maps/082aa89e61d84195bb92480a5d866e19
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    Dataset updated
    Oct 20, 2021
    Dataset authored and provided by
    Wisconsin Department of Natural Resources
    Area covered
    Description

    Wisconsin DNR Web map displaying the CDC Social Vulnerability Index 2018 at the census tract Level, centered on Wisconsin. The 2018 Social Vulnerability Index (SVI) layer was created by the Centers for Disease Control and Prevention (CDC) / Agency for Toxic Substances and Disease Registry (ATSDR) / Geospatial Research, Analysis, and Services Program (GRASP). Visit https://www.atsdr.cdc.gov/placeandhealth/svi/index.html for more information.

  6. CDC Social Vulnerability Index (SVI) Mapping Dashboard

    • datasets.ai
    • catalog.data.gov
    21
    Updated Aug 6, 2024
    + more versions
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    U.S. Department of Health & Human Services (2024). CDC Social Vulnerability Index (SVI) Mapping Dashboard [Dataset]. https://datasets.ai/datasets/cdc-social-vulnerability-index-svi-mapping-dashboard
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    21Available download formats
    Dataset updated
    Aug 6, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    U.S. Department of Health & Human Services
    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.

  7. A

    Climate Ready Boston Social Vulnerability

    • data.boston.gov
    • cloudcity.ogopendata.com
    • +2more
    Updated Sep 21, 2017
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    Boston Maps (2017). Climate Ready Boston Social Vulnerability [Dataset]. https://data.boston.gov/dataset/climate-ready-boston-social-vulnerability
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    zip, geojson, arcgis geoservices rest api, csv, kmlAvailable download formats
    Dataset updated
    Sep 21, 2017
    Dataset provided by
    BostonMaps
    Authors
    Boston Maps
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Boston
    Description
    Social vulnerability is defined as the disproportionate susceptibility of some social groups to the impacts of hazards, including death, injury, loss, or disruption of livelihood. In this dataset from Climate Ready Boston, groups identified as being more vulnerable are older adults, children, people of color, people with limited English proficiency, people with low or no incomes, people with disabilities, and people with medical illnesses.

    Source:

    The analysis and definitions used in Climate Ready Boston (2016) are based on "A framework to understand the relationship between social factors that reduce resilience in cities: Application to the City of Boston." Published 2015 in the International Journal of Disaster Risk Reduction by Atyia Martin, Northeastern University.

    Population Definitions:

    Older Adults:
    Older adults (those over age 65) have physical vulnerabilities in a climate event; they suffer from higher rates of medical illness than the rest of the population and can have some functional limitations in an evacuation scenario, as well as when preparing for and recovering from a disaster. Furthermore, older adults are physically more vulnerable to the impacts of extreme heat. Beyond the physical risk, older adults are more likely to be socially isolated. Without an appropriate support network, an initially small risk could be exacerbated if an older adult is not able to get help.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for population over 65 years of age.
    Attribute label: OlderAdult

    Children:
    Families with children require additional resources in a climate event. When school is cancelled, parents need alternative childcare options, which can mean missing work. Children are especially vulnerable to extreme heat and stress following a natural disaster.
    Data source: 2010 American Community Survey 5-year Estimates (ACS) data by census tract for population under 5 years of age.
    Attribute label: TotChild

    People of Color:
    People of color make up a majority (53 percent) of Boston’s population. People of color are more likely to fall into multiple vulnerable groups as
    well. People of color statistically have lower levels of income and higher levels of poverty than the population at large. People of color, many of whom also have limited English proficiency, may not have ready access in their primary language to information about the dangers of extreme heat or about cooling center resources. This risk to extreme heat can be compounded by the fact that people of color often live in more densely populated urban areas that are at higher risk for heat exposure due to the urban heat island effect.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract: Black, Native American, Asian, Island, Other, Multi, Non-white Hispanics.
    Attribute label: POC2

    Limited English Proficiency:
    Without adequate English skills, residents can miss crucial information on how to prepare
    for hazards. Cultural practices for information sharing, for example, may focus on word-of-mouth communication. In a flood event, residents can also face challenges communicating with emergency response personnel. If residents are more socially
    isolated, they may be less likely to hear about upcoming events. Finally, immigrants, especially ones who are undocumented, may be reluctant to use government services out of fear of deportation or general distrust of the government or emergency personnel.
    Data Source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract, defined as speaks English only or speaks English “very well”.
    Attribute label: LEP

    Low to no Income:
    A lack of financial resources impacts a household’s ability to prepare for a disaster event and to support friends and neighborhoods. For example, residents without televisions, computers, or data-driven mobile phones may face challenges getting news about hazards or recovery resources. Renters may have trouble finding and paying deposits for replacement housing if their residence is impacted by flooding. Homeowners may be less able to afford insurance that will cover flood damage. Having low or no income can create difficulty evacuating in a disaster event because of a higher reliance on public transportation. If unable to evacuate, residents may be more at risk without supplies to stay in their homes for an extended period of time. Low- and no-income residents can also be more vulnerable to hot weather if running air conditioning or fans puts utility costs out of reach.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for low-to- no income populations. The data represents a calculated field that combines people who were 100% below the poverty level and those who were 100–149% of the poverty level.
    Attribute label: Low_to_No

    People with Disabilities:
    People with disabilities are among the most vulnerable in an emergency; they sustain disproportionate rates of illness, injury, and death in disaster events.46 People with disabilities can find it difficult to adequately prepare for a disaster event, including moving to a safer place. They are more likely to be left behind or abandoned during evacuations. Rescue and relief resources—like emergency transportation or shelters, for example— may not be universally accessible. Research has revealed a historic pattern of discrimination against people with disabilities in times of resource scarcity, like after a major storm and flood.
    Data source: 2008-2012 American Community Survey 5-year Estimates (ACS) data by census tract for total civilian non-institutionalized population, including: hearing difficulty, vision difficulty, cognitive difficulty, ambulatory difficulty, self-care difficulty, and independent living difficulty.
    Attribute label: TotDis

    Medical Illness:
    Symptoms of existing medical illnesses are often exacerbated by hot temperatures. For example, heat can trigger asthma attacks or increase already high blood pressure due to the stress of high temperatures put on the body. Climate events can interrupt access to normal sources of healthcare and even life-sustaining medication. Special planning is required for people experiencing medical illness. For example, people dependent on dialysis will have different evacuation and care needs than other Boston residents in a climate event.
    Data source: Medical illness is a proxy measure which is based on EASI data accessed through Simply Map. Health data at the local level in Massachusetts is not available beyond zip codes. EASI modeled the health statistics for the U.S. population based upon age, sex, and race probabilities using U.S. Census Bureau data. The probabilities are modeled against the census and current year and five year forecasts. Medical illness is the sum of asthma in children, asthma in adults, heart disease, emphysema, bronchitis, cancer, diabetes, kidney disease, and liver disease. A limitation is that these numbers may be over-counted as the result of people potentially having more than one medical illness. Therefore, the analysis may have greater numbers of people with medical illness within census tracts than actually present. Overall, the analysis was based on the relationship between social factors.
    Attribute label: MedIllnes

    Other attribute definitions:
    GEOID10: Geographic identifier: State Code (25), Country Code (025), 2010 Census Tract
    AREA_SQFT: Tract area (in square feet)
    AREA_ACRES: Tract area (in acres)
    POP100_RE: Tract population count
    HU100_RE: Tract housing unit count
    Name: Boston Neighborhood
  8. CDC Social Vulnerability Index Base Map

    • noaa.hub.arcgis.com
    Updated Jun 10, 2018
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    NOAA GeoPlatform (2018). CDC Social Vulnerability Index Base Map [Dataset]. https://noaa.hub.arcgis.com/maps/74695430aca2461a9418bfbb79c53482
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    Dataset updated
    Jun 10, 2018
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    Area covered
    Description

    Webmap showing the CDC Socio-Economic Vulnerability population Index to natural disasters. More information can be found here: https://svi.cdc.gov/

  9. n

    Where are the most socially vulnerable populations in the U.S.?

    • prep-response-portal.napsgfoundation.org
    Updated Mar 3, 2020
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    Urban Observatory by Esri (2020). Where are the most socially vulnerable populations in the U.S.? [Dataset]. https://prep-response-portal.napsgfoundation.org/maps/2c8fdc6267e4439e968837020e7618f3
    Explore at:
    Dataset updated
    Mar 3, 2020
    Dataset authored and provided by
    Urban Observatory by Esri
    License

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

    Area covered
    Description

    This map ranks every county and tract in the U.S. by its social vulnerability -- the resilience of communities when confronted by external stresses on human health, stresses such as natural or human-caused disasters, or disease outbreaks. This web map was updated March 17, 2020 to use the latest 2018 social vulnerability layers from CDC, and now includes several alternative layers to visualize different themes described below.This map 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 web map 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

  10. CDC/ATSDR Social Vulnerability Index 2022 USA

    • data.trubel.co
    Updated May 21, 2024
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    Centers for Disease Control and Prevention (2024). CDC/ATSDR Social Vulnerability Index 2022 USA [Dataset]. https://data.trubel.co/maps/414c0b43a0ec4adc829d5815bc621750
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    Dataset updated
    May 21, 2024
    Dataset authored and provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    Description

    OverviewThis feature layer 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. 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)More Questions?CDC SVI 2022 Full DocumentationSVI Home PageContact the SVI Coordinator

  11. a

    VT Social Vulnerability Index

    • sov-vcgi.opendata.arcgis.com
    • geodata.vermont.gov
    • +1more
    Updated Apr 18, 2017
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    VT-AHS (2017). VT Social Vulnerability Index [Dataset]. https://sov-vcgi.opendata.arcgis.com/datasets/ahs-vt::vt-social-vulnerability-index-1
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    Dataset updated
    Apr 18, 2017
    Dataset authored and provided by
    VT-AHS
    Area covered
    Description

    The Vermont Social Vulnerability Index (SVI) is produced by the Vermont Department of Health and draws together 16 measures of vulnerability into a single index. For each measure, census tracts above the 90th percentile, or the 10% most vulnerable tracts, are assigned a vulnerability flag. The overall index is measured as the count of vulnerability flags in each census tract.All data is acquired from American Community Survey 5-year estimate data, 2016-2020. A downloadable files include measured percentage, percentile rank, margin of error, and relative standard error for each indicator per census tract.The 16 vulnerability measures: population below federal poverty level; population unemployed; income per capita; population without a high school degree; population without health insurance; population age 0-17; population age 65+; population with disability; households with children headed by single parent; population persons of color; population with limited English; housing units in large apartment buildings of 10+ units; housing units mobile homes; housing units with crowding ( >1 person/ bedroom); population without vehicle access; population living in group quarters.It is important to remember that the SVI is just the first step in screening populations that may be more or less vulnerable. Depending on the situation, different measures could be of more or less importance and should be viewed more closely. If available, local information should always be considered in conjunction with these population estimates.

  12. H

    CDC Social Vulnerability Index 2014

    • hydroshare.org
    • beta.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]

  13. Virginia Social Vulnerability Demographics for Coronavirus (COVID-19)...

    • data.amerigeoss.org
    esri rest, html
    Updated Apr 3, 2020
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    ESRI (2020). Virginia Social Vulnerability Demographics for Coronavirus (COVID-19) Service Planning [Dataset]. https://data.amerigeoss.org/dataset/virginia-social-vulnerability-demographics-for-coronavirus-covid-19-service-planning
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    html, esri restAvailable download formats
    Dataset updated
    Apr 3, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Description
    This story map was created by the Northern Virginia Regional Commission, a regional government entity of the Commonwealth of Virginia. It contains 2018 Virginia CDC Social Vulnerability Index (SVI) layers by Census Tract. The following five components of the SVI are included as maps and stories: 1) Overall Social Vulnerability, 2) Socioeconomic, 3) Household Compositgion/Disability, 4) Minority/Language, and 5) Housing/Transportation. For more information on the CDC's SVI go to this link: https://svi.cdc.gov/index.html.

    All census tracts are ranked only against other tracts in Virginia, when determining the index for the most socially vulnerable areas in Virginia. This mapping application is intended to be used to identify vulnerable areas that may need special services during emergencies and health crises such as the coronavirus (COVID-19).
  14. T

    Utah Social Vulnerability Index CDC Census Tract

    • opendata.utah.gov
    Updated Jan 26, 2021
    + more versions
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    Centers for Disease Control (2021). Utah Social Vulnerability Index CDC Census Tract [Dataset]. https://opendata.utah.gov/Health/Utah-Social-Vulnerability-Index-CDC-Census-Tract/wziv-8sqe
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    kmz, kml, application/geo+json, xml, csv, xlsxAvailable download formats
    Dataset updated
    Jan 26, 2021
    Dataset authored and provided by
    Centers for Disease Control
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Utah
    Description

    This data set contains the relative social vulnerability of Census tracts areas in Utah. Data is from the ATSDR's Geospatial Research, Analysis & Services Program. Data set contains 15 social factors, including employment, transportation, minority status, health, education, age & disability.

  15. 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
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    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

  16. v

    CDC Social Vulnerability Index 2018 - USA

    • anrgeodata.vermont.gov
    • geodata.fnai.org
    • +2more
    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
    United States,
    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

  17. w

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

    • data.wu.ac.at
    • data.wake.gov
    • +2more
    Updated Apr 25, 2018
    + more versions
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    Wake County (2018). CDC’s Social Vulnerability Index (SVI) – 2014 overall SVI, census tract level - Wake County [Dataset]. https://data.wu.ac.at/schema/data_gov/ZTUxMDZjYjMtMTE1Zi00ZTQ3LTg4M2YtZWMyMmE1YjdjNzFm
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    kml, zip, application/vnd.geo+json, csv, json, htmlAvailable download formats
    Dataset updated
    Apr 25, 2018
    Dataset provided by
    Wake County
    Area covered
    46744efb109be9efdb6a5d374eecc321d7d6adef
    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 each census tract on 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 the full 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 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_THEME1
    • Housing Composition and Disability - RPL_THEME2
    • Minority Status & Language - RPL_THEME3
    • Housing & Transportation - RPL_THEME4

    Flags
    Census 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.

  18. An empirical social vulnerability map ('GlobE-SoVI') for flood risk...

    • data.europa.eu
    • zenodo.org
    unknown
    Updated Jun 1, 2023
    + more versions
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    Zenodo (2023). An empirical social vulnerability map ('GlobE-SoVI') for flood risk assessment at global scale [Dataset]. https://data.europa.eu/data/datasets/oai-zenodo-org-7993886?locale=mt
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    unknown(702730098)Available download formats
    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    Zenodohttp://zenodo.org/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These data were produced as part of the study "An empirical social vulnerability map (‘GlobE-SoVI’) for flood risk assessment at global scale" (currently in peer review). We provide raster data at 30 arc seconds spatial resolution (folder 'tif') and vector data per administrative unit (folder 'shp') of five social vulnerability variables and the final Global Empirical Social Vulnerability Index (GlobE-SoVI) calculated from the five variables. The code for data processing and analysis is available at https://github.com/lena-reimann/GlobE-SoVI [DOI]. File names and units are as follows: tif shp Variable file name unit column name unit Share of elderly percent_elderly percent eld_per percent Mean years of schooling (at age 25+) by gender MYS_gender years MYS_gen years Gender income gap income_gender percent inc_gap percent Share of villages villages Boolean village percent Maximum walking time to healthcare facility walk_healthcare_hours hours wlk_hrs hours GlobE-SoVI GlobE-SoVI index GlobE-SoVI index

  19. D

    Data from: The Social Vulnerability Index (SVI)

    • dev.datalumos.org
    • test.datalumos.org
    • +1more
    delimited
    Updated Mar 2, 2018
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    United States Department of Health and Human Services. Centers for Disease Control and Prevention. Agency for Toxic Substances and Disease Registry (2018). The Social Vulnerability Index (SVI) [Dataset]. http://doi.org/10.3886/E101771V1
    Explore at:
    delimitedAvailable download formats
    Dataset updated
    Mar 2, 2018
    Dataset authored and provided by
    United States Department of Health and Human Services. Centers for Disease Control and Prevention. Agency for Toxic Substances and Disease Registry
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    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. Census tracts are subdivisions of counties for which the Census collects statistical data.The SVI ranks each tract on 14 social factors, including poverty, lack of vehicle access, and crowded housing, and groups them into four related themes. Maps of the four themes are shown in the figure below. Each tract receives a separate ranking for each of the four themes, as well as an overall ranking.

  20. o

    Oregon Social Vulnerability Index: Overall Score (2022)

    • hub.oregonexplorer.info
    Updated Apr 25, 2024
    + more versions
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    Oregon State University GISci (2024). Oregon Social Vulnerability Index: Overall Score (2022) [Dataset]. https://hub.oregonexplorer.info/datasets/4f5c6ebc77cc4db9964a56ce5c1676f2
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    Dataset updated
    Apr 25, 2024
    Dataset authored and provided by
    Oregon State University GISci
    Area covered
    Description

    Social vulnerability refers to the social, economic, and cultural factors that influence access to resources and influence the ability of individuals, households, or communities to prevent, respond to, and recover from events such as wildfire (Coughlan et al., 2019; Cutter et al., 2003). Some examples of social, economic, or cultural factors that may influence social vulnerability to wildfire include income, language proficiency, cultural and psychological relationships to fire and land management, and level of trust in government (Coughlan et al., 2019). The SVI map layer developed for SB 762 identifies areas in the state that may be more vulnerable to the impacts of wildfire following the methodologies of the Centers for Disease Control (CDC) and Agency for Toxic Substances and Disease Registry (ATSDR) Social Vulnerability Index (SVI) (Centers for Disease Control Social Vulnerability Index 2018 Documentation, 2022) which was initially developed by Flanagan et al. (2011) for disaster risk management. NOTE: The SVI dataset within the Oregon Explorer tool underwent an update on February 5, 2024 to rectify inaccuracies in the original data. The initial SVI layer computations omitted data pertaining to the indicator "adults over age 65." We strongly recommend individuals who downloaded SVI data prior to this update revise their records accordingly.

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Spatial Sciences Institute (2022). Social Vulnerability Index (SVI) Interactive Map [Dataset]. https://usc-geohealth-hub-uscssi.hub.arcgis.com/documents/8dab19f59bf44065ae8284236ae11764

Social Vulnerability Index (SVI) Interactive Map

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22 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 16, 2022
Dataset authored and provided by
Spatial Sciences Institute
Description

Every community must prepare for and respond to hazardous events, whether a natural disaster like a tornado or disease outbreak, or a human-made event such as a harmful chemical spill. A number of factors, including poverty, lack of access to transportation, and crowded housing may weaken a community’s ability to prevent human suffering and financial loss in a disaster. These factors are known as social vulnerability.Link to this page: https://www.atsdr.cdc.gov/placeandhealth/svi/interactive_map.html

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