Originator:
Claire Kamp Dush, Wendy Manning, and David Van Riper. IPUMS Contextual Determinants of Health: Version 1.0 [dataset]. Minneapolis, MN: IPUMS. 2023. https://doi.org/10.18128/D130.V1.0
Title:
Residential inequity, County. 2014-2018 ACS 5-year ACS
Abstract:
Residential segregation measures the physical separation of population groups into different areas (i.e., neighborhoods) in a geographic unit (i.e., a county or city). We report the index of dissmilarity ($D$) for United States counties in our data file. The index of dissimilarity is a measure of evenness and measures the proportion of a group's population that must move so that each sub-county geographic unit in a county has the same proportion of that group as the county. We use census tracts as our sub-county geographic unit because census tracts nest within counties.
$D$ is typically calculated using two population groups. We have computed the residential segregation measure for the following groups:
* White alone:Black alone
* White alone:Asian alone
* White alone, not Hispanic or Latino:Hispanic or Latino
Time Period of Content Date:
2014-2018 ACS 5-year ACS
Theme Keywords:
Data is available for all U.S. Counties.
Contact Person Information:
NA
Completeness:
Data are available for the United States and Puerto Rico. Data are not provided the US territories.
Missing Data:
We are unable to compute educational inequity ratios for some county - race/ethnicity combinations. If both the numerator and denominator proportions are zero, the educational inequity ratio is undefined. If the denominator proportion is zero, then the ratio is also undefined. When we observe these cases, we report the ratios as missing.