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Racial Demographics Explain the Link Between Racial Disparities in Traffic Stops and County-Level Racial Attitudes.

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Area of Science:

  • Sociology
  • Criminology
  • Public Policy

Background:

  • Racial disparities in policing, particularly during traffic stops, are a significant societal issue in the United States.
  • Previous research indicates potential links between implicit biases and policing outcomes, but county-level associations with both implicit and explicit attitudes remain under-explored.

Purpose of the Study:

  • To investigate the relationship between county-level racial attitudes (both implicit and explicit) and racial disparities in police traffic stops.
  • To determine if demographic composition, specifically the proportion of White residents, mediates the association between racial attitudes and traffic stop disparities.

Main Methods:

  • Utilized data from the Stanford Open Policing Project for hundreds of U.S. counties.
  • Integrated county-level implicit and explicit racial attitude data from the Project Implicit research website.
  • Employed statistical analyses to examine associations between racial attitudes, demographics, and traffic stop disparities.

Main Results:

  • Significant associations were found between county-level implicit and explicit racial attitudes and Black-White disparities in traffic stops.
  • These disparities were larger in counties with a higher proportion of White residents, indicating a demographic influence.
  • Racial disparities in post-stop outcomes, such as arrest rates, were not consistently linked to racial attitudes.

Conclusions:

  • County-level racial attitudes and demographic composition are reliably associated with racial disparities in police traffic stops.
  • The findings suggest that implicit and explicit biases at a community level, combined with demographic factors, contribute to unequal policing experiences.
  • Further research is needed to understand the mechanisms driving these disparities and to develop targeted interventions.