UM Geospatial Digital Special Collections

2018 Florida CDC Social Vulnerability Index (tracts)

Collections: Health Outcomes | Little River Climate Resilience | Miami-Dade Climate Resilience | Sleep Outcomes
Citation: Center for Disease Control (2020). 2018 Florida CDC Social Vulnerability Index (tracts) [gis dataset]. CDC. https://www.atsdr.cdc.gov/placeandhealth/svi/data_documentation_download.html. last updated: 2024-10-28 (update frequency: Never). Abstract: 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 Social Vulnerability Index (CDC/ATSDR SVI) uses 16 U.S. census variables to help local officials identify communities that may need support before, during, or after disasters. Key words: Florida, CDC, Vulnerability, Social Vulnerability Index, Census Tracts, Public-Safety
Name Description Type Units
area_sqmi Tract area in square miles float8 square miles
county County name varchar
e_age17 Persons aged 17 and younger estimate, 2014-2018 ACS int4 persons
e_age65 Persons aged 65 and older estimate, 2014-2018 ACS int4 persons
e_crowd At household level (occupied housing units), more people than rooms estimate, 2014-2018 ACS int4 households
e_daypop Adjunct variable - Estimated daytime population, LandScan 2018 int4 persons
e_disabl Civilian non-institutionalized population with a disability estimate, 2014-2018 ACS int4 persons
e_groupq Persons in group quarters estimate, 2014-2018 ACS int4 persons
e_hh Households estimate, 2014-2018 ACS int4 households
e_hu Housing units estimate, 2014-2018 ACS int4 housing units
e_limeng Persons (age 5+) who speak English "less than well" estimate, 2014-2018 ACS int4 persons
e_minrty Minority (all persons except white, non-Hispanic) estimate, 2014-2018 ACS int4 persons
e_mobile Mobile homes estimate, 2014-2018 ACS int4 mobile homes
e_munit Housing in structures with 10 or more units estimate, 2014-2018 ACS int4 structures
e_nohsdp Persons (age 25+) with no high school diploma estimate, 2014-2018 ACS int4 persons
e_noveh Households with no vehicle available estimate, 2014-2018 ACS int4 households
e_pci Per capita income estimate, 2014-2018 ACS int4 US dollars
e_pov Persons below poverty estimate, 2014-2018 ACS int4 persons
e_sngpnt Single parent household with children under 18 estimate, 2014-2018 ACS int4 households
e_totpop Population estimate, 2014-2018 ACS int4 persons
e_unemp Civilian (age 16+) unemployed estimate, 2014-2018 ACS int4 persons
e_uninsur Adjunct variable - Uninsured in the total civilian non-institutionalized population estimate, 2014-2018 ACS int4 persons
ep_age17 Percentage of persons aged 17 and younger estimate, 2014-2018 ACS float8 percentage
ep_age65 Percentage of persons aged 65 and older estimate, 2014-2018 ACS float8 percentage
ep_crowd Percentage of occupied housing units with more people than rooms estimate float8 percentage
ep_disabl Percentage of civilian non-institutionalized population with a disability estimate, 2014-2018 ACS float8 percentage
ep_groupq Percentage of persons in group quarters estimate, 2014-2018 ACS float8 percentage
ep_limeng Percentage of persons (age 5+) who speak English "less than well" estimate, 2014-2018 ACS float8 percentage
ep_minrty Percentage minority (all persons except white, non-Hispanic) estimate, 2014-2018 ACS float8 percentage
ep_mobile Percentage of mobile homes estimate float8 percentage
ep_munit Percentage of housing in structures with 10 or more units estimate float8 percentage
ep_nohsdp Percentage of persons with no high school diploma (age 25+) estimate float8 percentage
ep_noveh Percentage of households with no vehicle available estimate float8 percentage
ep_pci Per capita income estimate, 2014-2018 ACS int4 US dollars
ep_pov Percentage of persons below poverty estimate float8 percentage
ep_sngpnt Percentage of single parent households with children under 18 estimate, 2014-2018 ACS float8 percentage
ep_unemp Unemployment Rate estimate float8 percentage
ep_uninsur Adjunct variable - Percentage uninsured in the total civilian non-institutionalized population estimate, 2014-2018 ACS float8 percentage
epl_age17 Percentile percentage of persons aged 17 and younger estimate float8 percentile
epl_age65 Percentile percentage of persons aged 65 and older estimate float8 percentile
epl_crowd Percentile percentage households with more people than rooms estimate float8 percentile
epl_disabl Percentile percentage of civilian non-institutionalized population with a disability estimate float8 percentile
epl_groupq Percentile percentage of persons in group quarters estimate float8 percentile
epl_limeng Percentile percentage of persons (age 5+) who speak English "less than well" estimate float8 percentile
epl_minrty Percentile percentage minority (all persons except white, non-Hispanic) estimate float8 percentile
epl_mobile Percentile percentage mobile homes estimate float8 percentile
epl_munit Percentile percentage housing in structures with 10 or more units estimate float8 percentile
epl_nohsdp Percentile Percentage of persons with no high school diploma (age 25+) estimate float8 percentile
epl_noveh Percentile percentage households with no vehicle available estimate float8 percentile
epl_pci Percentile per capita income estimate float8 percentile
epl_pov Percentile Percentage of persons below poverty estimate float8 percentile
epl_sngpnt Percentile percentage of single parent households with children under 18 estimate float8 percentile
epl_unemp Percentile Percentage of civilian (age 16+) unemployed estimate float8 percentile
f_age17 Flag - the percentage of persons aged 17 and younger is in the 90th percentile (1 = yes, 0 = no) boolean
f_age65 Flag - the percentage of persons aged 65 and older is in the 90th percentile (1 = yes, 0 = no) boolean
f_crowd Flag - the percentage of crowded households is in the 90th percentile (1 = yes, 0 = no) boolean
f_disabl Flag - the percentage of persons with a disability is in the 90th percentile (1 = yes, 0 = no) boolean
f_groupq Flag - the percentage of persons in institutionalize d group quarters is in the 90th percentile (1 = yes, 0 = no) boolean
f_limeng Flag - the percentage those with limited English is in the 90th percentile (1 = yes, 0 = no) boolean
f_minrty Flag - the percentage of minority is in the 90th percentile (1 = yes, 0 = no) boolean
f_mobile Flag - the percentage of mobile homes is in the 90th percentile (1 = yes, 0 = no) boolean
f_munit Flag - the percentage of households in multi-unit housing is in the 90th percentile (1 = yes, 0 = no) boolean
f_nohsdp Flag - the percentage of persons with no high school diploma is in the 90th percentile (1 = yes, 0 = no) boolean
f_noveh Flag - the percentage of households with no vehicles is in the 90th percentile (1 = yes, 0 = no) boolean
f_pci Flag - per capita income is in the 90th percentile (1 = yes, 0 = no) boolean
f_pov Flag - the percentage of persons in poverty is in the 90th percentile (1 = yes, 0 = no) boolean
f_sngpnt Flag - the percentage of single parent households is in the 90th percentile (1 = yes, 0 = no) boolean
f_theme1 Sum of flags for Socioeconomic Status theme int4
f_theme2 Sum of flags for Household Composition theme int4
f_theme3 Sum of flags for Minority Status/Languag e theme int4
f_theme4 Sum of flags for Housing Type/ Transportation theme int4
f_total Sum of flags for the four themes int4
f_unemp Flag - the percentage of civilian unemployed is in the 90th percentile (1 = yes, 0 = no) boolean
fips FIPS code as STATE(2)COUNTY(3)CENSUSTRACT(6) varchar
location Census tract name varchar
m_age17 Persons aged 17 and younger estimate MOE, 2014-2018 ACS int4 persons
m_age65 Persons aged 65 and older estimate MOE, 2014-2018 ACS int4 persons
m_crowd At household level (occupied housing units), more people than rooms estimate MOE, 2014-2018 ACS int4 housing units
m_disabl Civilian non-institutionalized population with a disability estimate MOE, 2014-2018 ACS int4 persons
m_groupq Persons in group quarters estimate MOE, 2014-2018 ACS int4 persons
m_hh Households estimate MOE, 2014-2018 ACS int4 households
m_hu Housing units estimate MOE, 2014-2018 ACS int4 housing units
m_limeng Persons (age 5+) who speak English "less than well" estimate MOE, 2014-2018 ACS int4 persons
m_minrty Minority (all persons except white, non-Hispanic) estimate MOE, 2014-2018 ACS int4 persons
m_mobile Mobile homes estimate MOE, 2014-2018 ACS int4 mobile homes
m_munit Housing in structures with 10 or more units estimate MOE, 2014- 2018 ACS int4 housing units
m_nohsdp Persons (age 25+) with no high school diploma estimate MOE, 2014-2018 ACS int4 persons
m_noveh Households with no vehicle available estimate MOE, 2014-2018 ACS int4 households
m_pci Per capita income estimate MOE, 2014-2018 ACS int4 US dollars
m_pov Persons below poverty estimate MOE, 2014-2018 ACS int4 persons
m_sngpnt Single parent household with children under 18 estimate MOE, 2014-2018 ACS int4 households
m_totpop Population estimate MOE, 2014-2018 ACS int4 persons
m_unemp Civilian (age 16+) unemployed estimate MOE, 2014-2018 ACS int4 persons
m_uninsur Adjunct variable - Uninsured in the total civilian non-institutionalized population estimate MOE, 2014-2018 ACS int4 persons
mp_age17 Percentage of persons aged 17 and younger estimate MOE, 2014-2018 ACS float8 percentage
mp_age65 Percentage of persons aged 65 and older estimate MOE, 2014-2018 ACS float8 percentage
mp_crowd Percentage of occupied housing units with more people than rooms estimate MOE float8 percentage
mp_disabl Percentage of civilian non-institutionalized population with a disability estimate MOE, 2014-2018 ACS float8 percentage
mp_groupq Percentage of persons in group quarters estimate MOE, 2014-2018 ACS float8 percentage
mp_limeng Percentage of persons (age 5+) who speak English "less than well" estimate MOE, 2014-2018 ACS float8 percentage
mp_minrty Percentage minority (all persons except white, non-Hispanic) estimate MOE, 2014-2018 ACS float8 percentage
mp_mobile Percentage of mobile homes estimate MOE float8 percentage
mp_munit Percentage of housing in structures with 10 or more units estimate MOE float8 percentage
mp_nohsdp Percentage of persons with no high school diploma (25+) estimate MOE float8 percentage
mp_noveh Percentage of households with no vehicle available estimate MOE float8 percentage
mp_pci Per capita income estimate MOE, 2014-2018 ACS int4 US dollars
mp_pov Percentage of persons below poverty estimate MOE float8 percentage
mp_sngpnt Percentage of single parent households with children under 18 estimate MOE, 2014-2018 ACS float8 percentage
mp_unemp Unemployment Rate estimate MOE float8 percentage
mp_uninsur Adjunct variable - Percentage uninsured in the total civilian non-institutionalized population estimate MOE, 2014-2018 ACS float8 percentage
rpl_theme1 Percentile ranking for Socioeconomic theme summary float8 percentile
rpl_theme2 Percentile ranking for Household Composition theme summary float8 percentile
rpl_theme3 Percentile ranking for Minority Status/Language theme float8 percentile
rpl_theme4 Percentile ranking for Housing Type/Transportation theme float8 percentile
rpl_themes Overall percentile ranking float8 percentile
spl_theme1 Sum of series for Socioeconomic theme float8 svi index
spl_theme2 Sum of series for Household Composition theme float8 svi index
spl_theme3 Sum of series for Minority Status/Languag e theme float8 svi index
spl_theme4 Sum of series for Housing Type/ Transportation theme float8 svi index
spl_themes Sum of series themes float8 svi index
st State FIPS code varchar
st_abbr State abbreviation varchar
state State name varchar
stcnty State and county FIPS code as STATE(2)COUNTY(3) varchar
Open Geospatial Consortium Standards: dynamic vector tiles | | WMS (coming soon) | WFS (coming soon) ESRI Standards: ArcGIS MapServer | ArcGIS FeatureServer | Open in ArcGIS Portal for GDSC Analytical Functions: gdsc_get_attributes(tablename=fl_2018_svi_tract,lat=25.718,lng=-80.279,identifier=location,attrs=[area_sqmi,county,e_age17,e_age65,e_crowd,e_daypop,e_disabl,e_groupq,e_hh,e_hu,e_limeng,e_minrty,e_mobile,e_munit,e_nohsdp,e_noveh,e_pci,e_pov,e_sngpnt,e_totpop,e_unemp,e_uninsur,ep_age17,ep_age65,ep_crowd,ep_disabl,ep_groupq,ep_limeng,ep_minrty,ep_mobile,ep_munit,ep_nohsdp,ep_noveh,ep_pci,ep_pov,ep_sngpnt,ep_unemp,ep_uninsur,epl_age17,epl_age65,epl_crowd,epl_disabl,epl_groupq,epl_limeng,epl_minrty,epl_mobile,epl_munit,epl_nohsdp,epl_noveh,epl_pci,epl_pov,epl_sngpnt,epl_unemp,f_age17,f_age65,f_crowd,f_disabl,f_groupq,f_limeng,f_minrty,f_mobile,f_munit,f_nohsdp,f_noveh,f_pci,f_pov,f_sngpnt,f_theme1,f_theme2,f_theme3,f_theme4,f_total,f_unemp,fips,location,m_age17,m_age65,m_crowd,m_disabl,m_groupq,m_hh,m_hu,m_limeng,m_minrty,m_mobile,m_munit,m_nohsdp,m_noveh,m_pci,m_pov,m_sngpnt,m_totpop,m_unemp,m_uninsur,mp_age17,mp_age65,mp_crowd,mp_disabl,mp_groupq,mp_limeng,mp_minrty,mp_mobile,mp_munit,mp_nohsdp,mp_noveh,mp_pci,mp_pov,mp_sngpnt,mp_unemp,mp_uninsur,rpl_theme1,rpl_theme2,rpl_theme3,rpl_theme4,rpl_themes,spl_theme1,spl_theme2,spl_theme3,spl_theme4,spl_themes,st,st_abbr,state,stcnty],normal='')
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