Residential segregation - non-white/white*
Index of dissimilarity where higher values indicate greater residential segregation between non-white and white county residents.
The 2019 County Health Rankings used data from 2013-2017 for this measure.
Reason for Including
Although most overtly discriminatory policies and practices promoting segregation – such as separate schools or seating on public transportation or in restaurants based on race, have been illegal for decades – segregation caused by structural, institutional, and individual racism still exists in many parts of the country. The removal of discriminatory policies and practices has impacted acts of racism but has had little effect on structural racism such as residential segregation, resulting in lingering structural inequalities. Although this area of research is gaining interest, structural forms of racism and their relationship to health inequities remain under-studied.
Residential segregation remains prevalent in many areas of the country and may influence both personal and community well-being. Residential segregation is considered to be a fundamental cause of health disparities in the U.S. and has been linked to poor health outcomes, including mortality, a wide variety of reproductive, infectious, and chronic diseases, and other adverse conditions.[1,2] Structural racism is also linked to poor-quality housing and disproportionate exposure to environmental toxins. Individuals living in segregated neighborhoods often experience increased violence, reduced educational and employment opportunities, limited access to quality health care, and restrictions to upward mobility.[2,3]
Key Measure Methods
Residential Segregation – Non-White/White is an Index
Racial/ethnic residential segregation refers to the degree to which two or more groups live separately from one another in a geographic area. The index of dissimilarity is a demographic measure of the evenness with which two groups (non-white and white residents, in this case) are distributed across the component geographic areas (census tracts, in this case) that make up a larger area (counties, in this case).
The residential segregation index ranges from 0 (complete integration) to 100 (complete segregation). The index score can be interpreted as the percentage of either non-white or white residents that would have to move to different geographic areas in order to produce a distribution that matches that of the larger area.
Some Data are Suppressed
A missing value is reported for counties with non-white populations less than 100 in the time frame.
This measure is a reflection of racial and not ethnic discrimination. People identifying as Hispanic can be included in either the non-white or white groups.
It is also important to consider that for some population groups, such as new immigrants, living among others who share their cultural beliefs and practices can help build social connections that can lessen the health risks of hardship and neighborhood disadvantage.
Can This Measure Be Used to Track Progress
This measure can be used to track progress with some caveats. It is important to note that the estimate provided in the County Health Rankings covers a 5-year period. However, in most counties, it is relatively simple to obtain single-year estimates from the resource included below.
Years of Data Used
American Community Survey, 5-year estimates
The American Community Survey (ACS) is a nationwide survey designed to provide communities with a fresh look at how they are changing. It is a critical element in the Census Bureau's reengineered decennial census program. The ACS collects and produces population and housing information every year instead of every ten years, and publishes both one-year and five-year estimates. The County Health Rankings use American Community Survey data to obtain measures of social and economic factors.
The US Census Bureau American Fact Finder provides population data at various geographies. This measure can also be calculated at the census tract level using the population of non-white and white residents of blocks or block groups and census tracts.
 Gee G, Ford C. Structural racism and health inequities: Old issues, new directions. Du Bois Review. 2011;8:115-132.
 Kramer MR, Hogue CR. Is segregation bad for your health? Epidemiol. Rev. 2009;31:178-194.
 Bailey ZD, Krieger N, Agénor M, Graves J, Linos N, Bassett MT. Structural racism and health inequities in the USA: Evidence and interventions. Lancet. 2017;389:1453-1463.