US Social Determinants of Health Data 2014

Social Determinants of Health Data 2014 from the United States at neighborhood-level

us_sdoh

Format

An sf data frame with 71901 rows, 25 variables, and a geometry column:

tract_fips: 10-digit FIPS code for tract
county: County name
state: State name
state_fips: State FIPS code
cnty_fips: County FIPS code
ep_pov: Percentage of persons below poverty estimate, 2010-2014 ACS
ep_unem: Percentage of civilian (age 16+) unemployed estimate, 2010-2014 ACS
ep_pci: Per capita income estimate, 2010-2014 ACS
ep_nohs: Percentage of persons with no high school diploma (age 25+) estimate, 2010-2014 ACS
ep_sngp: Percentage of single parent households with children under 18 estimate, 2010-2014 ACS
ep_lime: Percentage of persons (age 5+) who speak English "less than well" estimate, 2010-2014 ACS
ep_crow: Percentage of households with more people than rooms estimate, 2010-2014 ACS
ep_nove: Percentage of households with no vehicle available estimate, 2010-2014 ACS
rent_1: Percentage of renters estimate, 2010-2014 ACS
rntov30p_1: Percentage of renters paying over 30 pct of income towards housing estimate, 2010-2014 ACS
ep_unin: Percentage of uninsured in the total civilian noninstitutionalized population estimate, 2010- 2014 ACS
ep_minrty: Percentage minority (all persons except white, non-Hispanic) estimate, 2010-2014 ACS
ep_age65: Percentage of persons aged 65 and older estimate, 2010-2014 ACS
ep_age17: Percentage of persons aged 17 and younger estimate, 2010-2014 ACS
ep_disabl: Percentage of civilian noninstitutionalized population with a disability estimate, 2010-2014 ACS
X1_SES: Socioeconomic Advantage Index, raw (see https://sdohatlas.github.io/)
X2_MOB: Limited Mobility Index, raw (see https://sdohatlas.github.io/)
X3_URB: Urban Core Opportunity Index, raw (see https://sdohatlas.github.io/)
X4_MICA: MICA Index, raw (see https://sdohatlas.github.io/)
SDOH_CL: 1:rural affordable, 2:suburban affluent, 3:suburban affordable, 4:extreme poverty, 5:multilingual working, 6:urban core opportunity, 7:sparse areas (see https://sdohatlas.github.io/)

Source

The U.S. Social Determinants of Health Atlas. https://sdohatlas.github.io/

Details

Sf object. EPSG 4326: WGS84.

Examples

if (requireNamespace("sf", quietly = TRUE)) {
  library(sf)
  data(us_sdoh)

  plot(us_sdoh["ep_pov"])
}