20240716094114001.0FALSE002SVI_TRACT_US_2022ArcSDE Connection52649.632400793982.56040059458.098400781583.2115001ProjectedGCS_North_American_1983_HARNLinear Unit: Meter (1.000000)<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.3.0'><WKT>PROJCS[&quot;NAD_1983_HARN_Florida_GDL_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983_HARN&quot;,DATUM[&quot;D_North_American_1983_HARN&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,400000.0],PARAMETER[&quot;False_Northing&quot;,0.0],PARAMETER[&quot;Central_Meridian&quot;,-84.0],PARAMETER[&quot;Standard_Parallel_1&quot;,24.0],PARAMETER[&quot;Standard_Parallel_2&quot;,31.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,24.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>NAD_1983_HARN_Florida_GDL_Albers150000000500020240723142740002024072314274000FGDCdatasetSVI CoordinatorCDC\ATSDR\GRASPsvi_coordinator@cdc.govSVI Coordinator202407230.000Florida Geographic Data Library (FGDL)431 Architecture PO Box 115706Web site: http://www.fgdl.orgGainesvilleFL32611-5706USNoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature ClassEsri ArcGIS 13.1.5.41833CDC Social Vulnerability Index Census Tract Level Data in Florida (US-Wide SVI Database) - 2018SVI2022CDC\ATSDR Social Vulnerability IndexSVI CoordinatorCDC\TSDR\GRASPsvi_coordinator@cdc.govSVI Coordinator2024-05-21T00:00:00State of Florida1-87.639411-79.87233731.04264524.480593SVI 2022GRASPCDCATSDRsocial vulnerabilitysocial vulnerability indexAmerican Community SurveytractUnited StatesThis dataset contains 2018 Social Vulnerability Index (SVI) Census Tract level data in Florida from the CDC/ATSDR US-wide SVI database. The US-wide database includes tracts which are ranked against all other tracts in the United States. 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.<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset contains 2018 Social Vulnerability Index (SVI) Census Tract level data in Florida from the CDC/ATSDR US-wide SVI database. The US-wide database includes tracts which are ranked against all other tracts in the United States. 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 U.S. Census tract. The county-level SVI shows the relative vulnerability of every U.S. county population. The SVI ranks tracts (or counties) on 16 social factors, described in detail in the documentation. The tract (or county) 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.</SPAN></P><P><SPAN>See complete documentation here: </SPAN><A href="https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html"><SPAN><SPAN>https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html</SPAN></SPAN></A><SPAN>. For additional questions, contact the SVI Lead at svi_coordinator@cdc.gov.</SPAN></P></DIV></DIV></DIV>CDC\ATSDR\Office of Innovation and Analytics\Geospatial Research, Analysis, and Services Program (GRASP)social vulnerability, SVI, Social Vulnerability Index, CDC, ATSDR, GRASP, American Community Survey2018-20222022-12-31T00:00:00SVI CoordinatorCDC\ATSDR\GRASPsvi_coordinator@cdc.govSVI CoordinatorSVI Coordinator<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>None</SPAN></P></DIV></DIV></DIV>The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation.<DIV STYLE="text-align:Left;"><DIV><P><SPAN>No contraints.</SPAN></P></DIV></DIV>5122EPSG6.12(9.2.0)SVI_TRACT_US_2022Feature Class5122SVI_TRACT_US_2022OBJECTIDOBJECTIDOID4100Internal feature number.EsriSequential unique whole numbers that are automatically generated.ShapeSHAPEGeometry800Feature geometry.EsriCoordinates defining the features.STState-level FIPS code CDC/ATSDRString200STSTATEState name CDC/ATSDRString1000STATEST_ABBRState abbreviation CDC/ATSDRString200ST_ABBRSTCNTYCounty-level FIPS code CDC/ATSDRString500STCNTYCOUNTYCounty name CDC/ATSDRString2000COUNTYFIPSTract-level geographic identification CDC/ATSDRString2000FIPSLOCATIONText description of tract, county, state CDC/ATSDRString5000LOCATIONAREA_SQMITract area in square milesCDC/ATSDRDouble8388AREA_SQMIE_TOTPOPPopulation estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_TOTPOPM_TOTPOPPopulation estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_TOTPOPE_HUHousing units estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_HUM_HUHousing units estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_HUE_HHHouseholds estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_HHM_HHHouseholds estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_HHE_POV150Persons below 150% poverty estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_POV150M_POV150Persons below 150% poverty estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_POV150E_UNEMPCivilian (age 16+) unemployed estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_UNEMPM_UNEMPCivilian (age 16+) unemployed estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_UNEMPE_HBURDHousing cost-burdened occupied housing units with annual income less than $75,000 CDC/ATSDRInteger4100E_HBURDM_HBURDHousing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_HBURDE_NOHSDPPersons (age 25+) with no high school diploma estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_NOHSDPM_NOHSDPPersons (age 25+) with no high school diploma estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_NOHSDPE_UNINSURUninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACSCDC/ATSDRInteger4100E_UNINSURM_UNINSURUninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_UNINSURE_AGE65Persons aged 65 and older estimate, 2018- 2022 ACS CDC/ATSDRInteger4100E_AGE65M_AGE65Persons aged 65 and older estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_AGE65E_AGE17Persons aged 17 and younger estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_AGE17M_AGE17Persons aged 17 and younger estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_AGE17E_DISABLCivilian noninstitutionalized population with a disability estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_DISABLM_DISABLCivilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_DISABLE_SNGPNTSingle-parent household with children under 18 estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_SNGPNTM_SNGPNTSingle-parent household with children under 18 estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_SNGPNTE_LIMENGPersons (age 5+) who speak English "less than well" estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_LIMENGM_LIMENGPersons (age 5+) who speak English "less than well" estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_LIMENGE_MINRTYMinority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; Two or More Races, Not Hispanic or Latino; Other Races, Not Hispanic or Latino) estimate, 2018-2022 ACS*CDC/ATSDRInteger4100E_MINRTYM_MINRTYMinority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; Two or More Races, Not Hispanic or Latino; Other Races, Not Hispanic or Latino) estimate MOE, 2018-2022 ACS*CDC/ATSDRInteger4100M_MINRTYE_MUNITHousing in structures with 10 or more units estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_MUNITM_MUNITHousing in structures with 10 or more units estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_MUNITE_MOBILEMobile homes estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_MOBILEM_MOBILEMobile homes estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_MOBILEE_CROWDAt household level (occupied housing units), more people than rooms estimate, 2018- 2022 ACSCDC/ATSDRInteger4100E_CROWDM_CROWDAt household level (occupied housing units), more people than rooms estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_CROWDE_NOVEHHouseholds with no vehicle available estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_NOVEHM_NOVEHHouseholds with no vehicle available estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_NOVEHE_GROUPQPersons in group quarters estimate, 2018- 2022 ACS CDC/ATSDRInteger4100E_GROUPQM_GROUPQPersons in group quarters estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_GROUPQEP_POV150Percentage of persons below 150% poverty estimate CDC/ATSDRDouble8388EP_POV150MP_POV150Percentage of persons below 150% poverty estimate MOE CDC/ATSDRDouble8388MP_POV150EP_UNEMPUnemployment Rate estimate CDC/ATSDRDouble8388EP_UNEMPMP_UNEMPUnemployment Rate estimate MOE CDC/ATSDRDouble8388MP_UNEMPEP_HBURDPercentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate, 2018-2022 ACS estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_HBURDMP_HBURDPercentage of housing cost-burdened occupied housing units with annual income less than $75,000 (30%+ of income spent on housing costs) estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_HBURDEP_NOHSDPPercentage of persons with no high school diploma (age 25+) estimate CDC/ATSDRDouble8388EP_NOHSDPMP_NOHSDPPercentage of persons with no high school diploma (25+) estimate MOE CDC/ATSDRDouble8388MP_NOHSDPEP_UNINSURPercentage uninsured in the total civilian noninstitutionalized population estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_UNINSURMP_UNINSURPercentage uninsured in the total civilian noninstitutionalized population estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_UNINSUREP_AGE65Percentage of persons aged 65 and older estimate, 2018-2022 ACS CDC/ATSDRDouble8388EP_AGE65MP_AGE65Percentage of persons aged 65 and older estimate MOE, 2018-2022 ACS CDC/ATSDRDouble8388MP_AGE65EP_AGE17Percentage of persons aged 17 and younger estimate, 2018-2022 ACS CDC/ATSDRDouble8388EP_AGE17MP_AGE17Percentage of persons aged 17 and younger estimate MOE, 2018-2022 ACS CDC/ATSDRDouble8388MP_AGE17EP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate, 2018- 2022 ACSCDC/ATSDRDouble8388EP_DISABLMP_DISABLPercentage of civilian noninstitutionalized population with a disability estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_DISABLEP_SNGPNTPercentage of single-parent households with children under 18 estimate, 2018-2022 ACS CDC/ATSDRDouble8388EP_SNGPNTMP_SNGPNTPercentage of single-parent households with children under 18 estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_SNGPNTEP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_LIMENGMP_LIMENGPercentage of persons (age 5+) who speak English "less than well" estimate MOE, 2018- 2022 ACSCDC/ATSDRDouble8388MP_LIMENGEP_MINRTYPercentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; Two or More Races, Not Hispanic or Latino; Other Races, Not Hispanic or Latino) estimate, 2018-2022 ACS*CDC/ATSDRDouble8388EP_MINRTYMP_MINRTYPercentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; Two or More Races, Not Hispanic or Latino; Other Races, Not Hispanic or Latino) estimate MOE, 2018-2022 ACS*CDC/ATSDRDouble8388MP_MINRTYEP_MUNITPercentage of housing in structures with 10 or more units estimate CDC/ATSDRDouble8388EP_MUNITMP_MUNITPercentage of housing in structures with 10 or more units estimate MOE CDC/ATSDRDouble8388MP_MUNITEP_MOBILEPercentage of mobile homes estimate CDC/ATSDRDouble8388EP_MOBILEMP_MOBILEPercentage of mobile homes estimate MOE CDC/ATSDRDouble8388MP_MOBILEEP_CROWDPercentage of occupied housing units with more people than rooms estimate CDC/ATSDRDouble8388EP_CROWDMP_CROWDPercentage of occupied housing units with more people than rooms estimate MOE CDC/ATSDRDouble8388MP_CROWDEP_NOVEHPercentage of households with no vehicle available estimate CDC/ATSDRDouble8388EP_NOVEHMP_NOVEHPercentage of households with no vehicle available estimate MOE CDC/ATSDRDouble8388MP_NOVEHEP_GROUPQPercentage of persons in group quarters estimate, 2018-2022 ACS CDC/ATSDRDouble8388EP_GROUPQMP_GROUPQPercentage of persons in group quarters estimate MOE, 2018-2022 ACS CDC/ATSDRDouble8388MP_GROUPQEPL_POV150Percentile percentage of persons below 150% poverty estimate CDC/ATSDRDouble8388EPL_POV150EPL_UNEMPPercentile percentage of civilian (age 16+) unemployed estimate CDC/ATSDRDouble8388EPL_UNEMPEPL_HBURDPercentile percentage of housing cost burdened occupied housing units estimate CDC/ATSDRDouble8388EPL_HBURDEPL_NOHSDPPercentile percentage of persons with no high school diploma (age 25+) estimate CDC/ATSDRDouble8388EPL_NOHSDPEPL_UNINSURPercentile percentage of uninsured estimate CDC/ATSDRDouble8388EPL_UNINSURSPL_THEME1Sum of series for Socioeconomic Status theme CDC/ATSDRDouble8388SPL_THEME1RPL_THEME1Percentile ranking for Socioeconomic Status theme summary CDC/ATSDRDouble8388RPL_THEME1EPL_AGE65Percentile percentage of persons aged 65 and older estimate CDC/ATSDRDouble8388EPL_AGE65EPL_AGE17Percentile percentage of persons aged 17 and younger estimate CDC/ATSDRDouble8388EPL_AGE17EPL_DISABLPercentile percentage of civilian noninstitutionalized population with a disability estimateCDC/ATSDRDouble8388EPL_DISABLEPL_SNGPNTPercentile percentage of single-parent households with children under 18 estimate CDC/ATSDRDouble8388EPL_SNGPNTEPL_LIMENGPercentile percentage of persons (age 5+) who speak English "less than well" estimate CDC/ATSDRDouble8388EPL_LIMENGSPL_THEME2Sum of series for Household Characteristics theme CDC/ATSDRDouble8388SPL_THEME2RPL_THEME2Percentile ranking for Household Characteristics theme summary CDC/ATSDRDouble8388RPL_THEME2EPL_MINRTYPercentile percentage minority (Hispanic or Latino (of any race); Black and African American, Not Hispanic or Latino; American Indian and Alaska Native, Not Hispanic or Latino; Asian, Not Hispanic or Latino; Native Hawaiian and Other Pacific Islander, Not Hispanic or Latino; Two or More Races, Not Hispanic or Latino; Other Races, Not Hispanic or Latino) estimate*CDC/ATSDRDouble8388EPL_MINRTYSPL_THEME3Sum of series for Racial and Ethnic Minority Status theme CDC/ATSDRDouble8388SPL_THEME3RPL_THEME3Percentile ranking for Racial and Ethnic Minority Status theme CDC/ATSDRDouble8388RPL_THEME3EPL_MUNITPercentile percentage housing in structures with 10 or more units estimate CDC/ATSDRDouble8388EPL_MUNITEPL_MOBILEPercentile percentage mobile homes estimate CDC/ATSDRDouble8388EPL_MOBILEEPL_CROWDPercentile percentage households with more people than rooms estimate CDC/ATSDRDouble8388EPL_CROWDEPL_NOVEHPercentile percentage households with no vehicle available estimate CDC/ATSDRDouble8388EPL_NOVEHEPL_GROUPQPercentile percentage of persons in group quarters estimate CDC/ATSDRDouble8388EPL_GROUPQSPL_THEME4Sum of series for Housing Type/ Transportation theme CDC/ATSDRDouble8388SPL_THEME4RPL_THEME4Percentile ranking for Housing Type/ Transportation theme CDC/ATSDRDouble8388RPL_THEME4SPL_THEMESSum of series themes CDC/ATSDRDouble8388SPL_THEMESRPL_THEMESOverall percentile ranking CDC/ATSDRDouble8388RPL_THEMESF_POV150Flag - the percentage of persons below 150% poverty is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_POV150F_UNEMPFlag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) CDC/ATSDRSmallInteger250F_UNEMPF_HBURDFlag - the percentage of housing cost burdened occupied housing units is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_HBURDF_NOHSDPFlag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_NOHSDPF_UNINSURFlag - the percentage of uninsured is in the 90th percentile (1 = yes, 0 = no) CDC/ATSDRSmallInteger250F_UNINSURF_THEME1Sum of flags for Socioeconomic Status theme CDC/ATSDRSmallInteger250F_THEME1F_AGE65Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_AGE65F_AGE17Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_AGE17F_DISABLFlag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_DISABLF_SNGPNTFlag - the percentage of single-parent households is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_SNGPNTF_LIMENGFlag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_LIMENGF_THEME2Sum of flags for Household Characteristics theme CDC/ATSDRSmallInteger250F_THEME2F_MINRTYFlag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) CDC/ATSDRSmallInteger250F_MINRTYF_THEME3Sum of flags for Racial and Ethnic Minority Status theme CDC/ATSDRSmallInteger250F_THEME3F_MUNITFlag - the percentage of households in multi unit housing is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_MUNITF_MOBILEFlag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) CDC/ATSDRSmallInteger250F_MOBILEF_CROWDFlag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_CROWDF_NOVEHFlag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_NOVEHF_GROUPQFlag - the percentage of persons in group quarters is in the 90th percentile (1 = yes, 0 = no)CDC/ATSDRSmallInteger250F_GROUPQF_THEME4Sum of flags for Housing Type/ Transportation theme CDC/ATSDRSmallInteger250F_THEME4F_TOTALSum of flags for the four themes CDC/ATSDRSmallInteger250F_TOTALE_DAYPOPAdjunct variable - Estimated daytime population, LandScan 2021** CDC/ATSDRInteger4100E_DAYPOPE_NOINTAdjunct variable - Households without an internet subscription estimate, 2018-2022 ACSCDC/ATSDRInteger4100E_NOINTM_NOINTAdjunct variable - Households without an internet subscription estimate MOE, 2018- 2022 ACSCDC/ATSDRInteger4100M_NOINTE_AFAMAdjunct variable - Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACSCDC/ATSDRInteger4100E_AFAMM_AFAMAdjunct variable - Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_AFAME_HISPAdjunct variable – Hispanic or Latino persons estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_HISPM_HISPAdjunct variable – Hispanic or Latino persons estimate MOE, 2018-2022 ACS CDC/ATSDRInteger4100M_HISPE_ASIANAdjunct variable – Asian, not Hispanic or Latino persons estimate, 2018-2022 ACS CDC/ATSDRInteger4100E_ASIANM_ASIANAdjunct variable – Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_ASIANE_AIANAdjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACSCDC/ATSDRInteger4100E_AIANM_AIANAdjunct variable - American Indian or Alaska Native, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_AIANE_NHPIAdjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018-2022 ACSCDC/ATSDRInteger4100E_NHPIM_NHPIAdjunct variable - Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_NHPIE_TWOMOREAdjunct variable - Two or more races, not Hispanic or Latino persons estimate, 2018- 2022 ACSCDC/ATSDRInteger4100E_TWOMOREM_TWOMOREAdjunct variable - Two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_TWOMOREE_OTHERRACEAdjunct variable - Some other race, not Hispanic or Latino persons estimate, 2018- 2022 ACSCDC/ATSDRInteger4100E_OTHERRACEM_OTHERRACEAdjunct variable - Some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRInteger4100M_OTHERRACEEP_NOINTAdjunct variable - Percentage of households without an internet subscription estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_NOINTMP_NOINTAdjunct variable - Percentage of households without an internet subscription estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_NOINTEP_AFAMAdjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_AFAMMP_AFAMAdjunct variable - Percentage of Black/African American, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_AFAMEP_HISPAdjunct variable - Percentage of Hispanic or Latino persons estimate, 2018-2022 ACS CDC/ATSDRDouble8388EP_HISPMP_HISPAdjunct variable - Percentage of Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_HISPEP_ASIANAdjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate, 2018- 2022 ACSCDC/ATSDRDouble8388EP_ASIANMP_ASIANAdjunct variable - Percentage of Asian, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_ASIANEP_AIANAdjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or Latino persons estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_AIANMP_AIANAdjunct variable - Percentage of American Indian or Alaska Native, not Hispanic or CDC/ATSDRDouble8388MP_AIANEP_NHPIAdjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate, 2018- 2022 ACSCDC/ATSDRDouble8388EP_NHPIMP_NHPIAdjunct variable - Percentage of Native Hawaiian or Other Pacific Islander, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_NHPIEP_TWOMOREAdjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_TWOMOREMP_TWOMOREAdjunct variable - Percentage of two or more races, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_TWOMOREEP_OTHERRACEAdjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate, 2018-2022 ACSCDC/ATSDRDouble8388EP_OTHERRACEMP_OTHERRACEAdjunct variable - Percentage of some other race, not Hispanic or Latino persons estimate MOE, 2018-2022 ACSCDC/ATSDRDouble8388MP_OTHERRACEDESCRIPTField added by GeoPlan based on LOCATION.GeoPlanDESCRIPTString5000FGDLAQDATEThe date GeoPlan acquired the data from the source.GeoPlanFGDLAQDATEDate800AUTOIDAUTOIDInteger410Unique ID added by GeoPlan. This field is for historic tracking of features.0SHAPE.AREASHAPE.AREADouble00Area of feature in internal units0SHAPE.LENSHAPE.LENDouble00Length of feature in internal units0Spatial and Attribute InformationGeoPlan downloaded the SVI dataset on July 16, 2024 from the CDC/ATSDR Social Vulnerability Index website: https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html Download settings: - Year: 2022 - Geography: United States - Geography Type: Census Tracts - File Type: File Geodatabase Data processing steps: (1) The shapefile download was reprojected from NAD_1983 to NAD 1983 HARN Florida GDL Albers (Meters). (2) GeoPlan added DESCRIPT and FGDLAQDATE fields (see field definitions in metadata for more info). (3) For all text fields, field lengths were shortened and attributes were upcased. (4) The final dataset was renamed "svi_tract_us_2022" and exported to Esri file geodatabase format. For more information, please see this link: https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/pdf/SVI-2022-Documentation-H.pdf2024-07-16T00:00:00UF GeoPlan CenterThis data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK CwsNDhIQDQ4RDgsLEBYQERMUFRUVDA8XGBYUGBIUFRT/2wBDAQMEBAUEBQkFBQkUDQsNFBQUFBQU FBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBT/wAARCADIASwDASIA AhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQA AAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3 ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWm p6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEA 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