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Effect of Gentrification and Residential Mobility on Associations Between Historical Redlining and Life Expectancy at Birth

  • American Cancer Society
  • Temple University
  • Drexel University

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Historical redlining, a housing policy applied across numerous cities in the United States in the 1930s, resulted in disinvestment in predominantly non-White, immigrant, or impoverished neighborhoods and has been associated with various adverse health outcomes. However, little is known about the effects of gentrification and residential mobility on health in historically redlined neighborhoods. Using linear regression, we evaluated the association between redlining, gentrification, and life expectancy at birth before and after adjustment for socio-spatial residential mobility in the Philadelphia metropolitan area. Tract-level data on life expectancy were obtained from the Centers for Disease Control and Prevention. Census data were used to define tract gentrification status in 2000–2010 (earlier-gentrification) and 2011–2018 (recent-gentrification). Tract socio-spatial mobility characteristics were defined using DataAxle’s household-level data. Life expectancy at birth was generally higher in historically privileged than disadvantaged tracts. After stratification by gentrification status, however, life expectancy in historically disadvantaged (redlined) areas was higher in earlier-gentrified than non-gentrified tracts. This difference was largely explained by socio-spatial mobility, namely a greater influx of moderate- and higher-income households to gentrified and lower-income households to non-gentrified tracts. In redlined tracts, for example, life expectancy in the unadjusted model was 4.7 years lower in non-gentrified than earlier-gentrified tracts (confidence interval: − 6.4, − 2.9); this difference decreased to 1.7 years (− 3.2, − 0.1) after adjustment for socio-spatial mobility. These findings have substantial implications for future public health research, highlighting the importance of including gentrification and/or socio-spatial mobility data when evaluating the association between historical policies, like redlining, and health outcomes in a given geographic area.

Original languageEnglish
Pages (from-to)135-146
Number of pages12
JournalJournal of Urban Health
Volume103
Issue number1
Early online dateJan 3 2026
DOIs
StatePublished - Feb 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Gentrification
  • Life expectancy
  • Redlining
  • Residential mobility
  • Socio-spatial mobility
  • Humans
  • Population Dynamics/statistics & numerical data
  • Residence Characteristics/statistics & numerical data
  • Housing/statistics & numerical data
  • Male
  • Neighborhood Characteristics/statistics & numerical data
  • Urban Renewal
  • Philadelphia/epidemiology
  • Socioeconomic Factors
  • Female
  • Residential Segregation
  • Life Expectancy/trends

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