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Racial Separation at Home and Work: Segregation in Residential and Workplace Settings

Author

Listed:
  • Matthew Hall

    (Cornell University)

  • John Iceland

    (Pennsylvania State University)

  • Youngmin Yi

    (Cornell University)

Abstract

Racial segregation has long characterized urban life in the U.S., with research consistently showing that minority groups occupy different social spaces than whites. While past scholarship has focused largely on residential contexts, a considerable portion of individuals’ days is spent outside of the home and existing research misses the potential for cross-group contact in non-residential contexts. In this paper, we assess the levels and patterns of segregation in the environments where people spend their workday, for white, black, Hispanic, and Asian workers. Using commuting data from the Census Transportation Planning Package, we construct measures of racial composition in “workhoods” and compare metropolitan-level segregation in places of work and home. Results indicate that workhood segregation is substantially lower than residential segregation. Black-white segregation in work settings is, for example, half the level of black-white segregation in residential settings. Multivariate analyses also reveal that workhood segregation, for all groups, is higher in metropolitan areas with greater residential segregation. For Hispanic workers, areas with larger immigrant populations have higher workhood segregation, and for blacks, workhood segregation is lower in metropolitan areas with large military populations. Our findings also consistently show that black and Hispanic workhood segregation is lower in areas where minority groups are more occupationally disadvantaged.

Suggested Citation

  • Matthew Hall & John Iceland & Youngmin Yi, 2019. "Racial Separation at Home and Work: Segregation in Residential and Workplace Settings," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 38(5), pages 671-694, October.
  • Handle: RePEc:kap:poprpr:v:38:y:2019:i:5:d:10.1007_s11113-019-09510-9
    DOI: 10.1007/s11113-019-09510-9
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    References listed on IDEAS

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    2. Zhang, Yanji & Wang, Jiejing & Kan, Changcheng, 2022. "Temporal variation in activity-space-based segregation: A case study of Beijing using location-based service data," Journal of Transport Geography, Elsevier, vol. 98(C).
    3. Mohana Mondal & Michael P. Cameron & Jacques Poot, 2021. "Cultural and economic residential sorting of Auckland’s population, 1991–2013: an entropy approach," Journal of Geographical Systems, Springer, vol. 23(2), pages 291-330, April.
    4. Laura Tach & Barrett Lee & Michael Martin & Lauren Hannscott, 2019. "Fragmentation or Diversification? Ethnoracial Change and the Social and Economic Heterogeneity of Places," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2193-2227, December.
    5. Lina Hedman & Kati Kadarik & Roger Andersson & John Östh, 2021. "Daily Mobility Patterns: Reducing or Reproducing Inequalities and Segregation?," Social Inclusion, Cogitatio Press, vol. 9(2), pages 208-221.
    6. Veronika Mooses & Siiri Silm & Tiit Tammaru & Erki Saluveer, 2020. "An ethno-linguistic dimension in transnational activity space measured with mobile phone data," Palgrave Communications, Palgrave Macmillan, vol. 7(1), pages 1-13, December.
    7. Siiri Silm & Veronika Mooses & Anniki Puura & Anu Masso & Ago Tominga & Erki Saluveer, 2021. "The Relationship between Ethno-Linguistic Composition of Social Networks and Activity Space: A Study Using Mobile Phone Data," Social Inclusion, Cogitatio Press, vol. 9(2), pages 192-207.
    8. Rodríguez Sánchez, Alejandra, 2019. "Family structure effects on U.S. children’s well-being? Re-examining the family instability hypothesis," OSF Preprints 84q56, Center for Open Science.
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