Police-Related Deaths and Neighborhood Economic and Racial/Ethnic Polarization, United States, 2015-2016

Am J Public Health. 2019 Mar;109(3):458-464. doi: 10.2105/AJPH.2018.304851. Epub 2019 Jan 24.

Abstract

Objectives: To estimate the association between rates of police-related deaths and neighborhood residential segregation (by income, race/ethnicity, or both combined) in the United States.

Methods: We identified police-related deaths that occurred in the United States (2015-2016) using a data set from the Guardian newspaper. We used census data to estimate expected police-related death counts for all US census tracts and to calculate the Index of Concentration at the Extremes as a segregation measure. We used multilevel negative binomial models for the analyses.

Results: Overall, police-related death rates were highest in neighborhoods with the greatest concentrations of low-income residents (vs high-income residents) and residents of color (vs non-Hispanic White residents). For non-Hispanic Blacks, however, the risk was greater in the quintile of neighborhoods with the highest concentration of non-Hispanic White residents than in certain neighborhoods with relatively higher concentrations of residents of color (the third and fourth quintiles).

Conclusions: Neighborhood context matters-beyond individual race/ethnicity-for understanding, preventing, and responding to the occurrence of police-related deaths. Public Health Implications. Efforts to monitor, prevent, and respond to police-related deaths should consider neighborhood context, including levels of segregation by income and race/ethnicity.

MeSH terms

  • Cause of Death / trends*
  • Ethnicity / statistics & numerical data*
  • Female
  • Forecasting
  • Humans
  • Male
  • Police / statistics & numerical data*
  • Poverty / statistics & numerical data*
  • Poverty / trends*
  • Residence Characteristics / statistics & numerical data*
  • Socioeconomic Factors
  • United States
  • Urban Population / statistics & numerical data
  • Urban Population / trends*