get_svi() calculates and constructs an SVI table for a
geographic level of interest based on CDC/ATSDR SVI documentation.
Briefly, by taking into account 4 themes of census variables that represent
challenges in socioeconomic status, household characteristics, racial and
ethnic minority status and housing/transportation, SVI uses percentile
ranking within a region to indicate the relative social vulnerability of
the geographic units (communities) in that region.
Arguments
- year
The year of interest (available 2014-2021), must match the year specified in retrieving census data.
- data
The census data retrieved by
get_census_data().
Value
A tibble of SVI with rows representing geographic units, and columns indicating variable names (first two columns containing geographic information). For detailed description of the variable names (column names), please refer to CDC/ATSDR documentation.
Examples
if (FALSE) { # Sys.getenv("CENSUS_API_KEY") != ""
# Census API key required
pa2018 <- get_census_data(
year = 2018,
geography = "county",
state = "PA")
get_svi(2018, pa2018)
}