Reevaluating the Spatial Scale of Residential Segregation: Racial Change Within and Between Neighborhoods

Author:

Lichter Daniel T.1ORCID,Parisi Domenico2ORCID,Ambinakudige Shrinidhi3ORCID,Scott Christian K.4ORCID

Affiliation:

1. Cornell Brooks School of Public Policy, Cornell University, Ithaca, NY, USA

2. Department of Sociology, Mississippi State University, Mississippi State, MS, USA

3. Department of Geosciences, Mississippi State University, Mississippi State, MS, USA

4. Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA

Abstract

Abstract This study evaluates the extent to which metropolitan racial segregation occurs between neighborhoods—from tract to tract—and within neighborhoods—from block to block—and is framed theoretically by Putnam's (2007) “hunkering down” hypothesis. Analyses are based on complete-count block, tract, and metropolitan data from the last four U.S. decennial censuses. We document recent patterns of block-to-block segregation between Whites and racial and ethnic minorities (Blacks, Asians, and Hispanics) and between different minority pairs. For example, roughly 40% of all metro Black–White segregation is due to segregation from block to block within neighborhoods. Among Asians, the between-neighborhood component of metropolitan segregation has increased over time but was largely compensated by declines in the within-neighborhood (or block) component. Metropolitan fixed-effects models show that trends and racial and ethnic differences in segregation—overall and within and between neighborhoods—are broadly observed across metro areas but are most evident in the largest, oldest, and most highly segregated metro areas. The results are robust to alternative estimates that adjust for differential privacy, metropolitan reclassification, and neighborhood boundary changes. Analyses of neighborhood change in Atlanta, Georgia, further reinforce the generality of our multiscale approach.

Publisher

Duke University Press

Reference90 articles.

1. Alba R. , & MaggioC. (2022). Demographic change and assimilation in the early 21st-century United States. Proceedings of the National Academy of Sciences, 119, e2118678119. https://doi.org/10.1073/pnas.2118678119

2. Assessing the impact of differential privacy on measures of population and racial residential segregation;Asquith;Harvard Data Science Review,2022

3. Residential segregation by income, 1970–2009;Bischoff,2014

4. The dynamics of racial residential segregation;Charles;Annual Review of Sociology,2003

5. A multiscalar analysis of neighborhood composition in Los Angeles, 2000–2010: A location-based approach to segregation and diversity;Clark;Annals of the Association of American Geographers,2015

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