Evaluating Residential Segregation’s Relation to the Clustering of Poor Health across American Cities

Joseph Gibbons, Tse-Chuan Yang, Elizabeth Brault and Michael Barton
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Joseph Gibbons: Department of Sociology, San Diego State University, San Diego, CA 92182, USA
Tse-Chuan Yang: Department of Sociology, University at Albany, SUNY, Albany, NY 12222, USA
Elizabeth Brault: Department of Sociology, Louisiana State University, Baton Rouge, LA 70802, USA
Michael Barton: Department of Sociology, Louisiana State University, Baton Rouge, LA 70802, USA

IJERPH, 2020, vol. 17, issue 11, 1-18

Abstract: Residential segregation by race/ethnicity is widely recognized as a leading source of health disparities. Not clear from past research, however, is the overall health burden cities face due to clustering brought about by segregation. This study builds on previous research by directly measuring how spatially unequal health outcomes are within segregated cities. Utilizing Census-tract data from the Center for Disease Control and Prevention’s 500 Cities project, we examine how different dimensions of spatial segregation are associated with the clustering of poor self-rated health in cities. We make novel usage of the Global Moran’s I statistic to measure the spatial clustering of poor health within cities. We find spatial segregation is associated with poor health clustering, however the race/ethnicity and dimension of segregation matter. Our study contributes to existing research on segregation and health by unpacking the localized associations of residential segregation with poor health clustering in U.S. cities.

Keywords: residential segregation; self-rated health; Moran’s I; poor health clustering (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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