Characterizing patterns in police stops by race in Minneapolis from 2016 to 2021

The murder of George Floyd centered Minneapolis, Minnesota, in conversations on racial injustice in the US. We leverage open data from the Minneapolis Police Department to analyze individual, geographic, and temporal patterns in more than 170,000 police stops since 2016. We evaluate person and vehic...

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Bibliographic Details
Main Author: Onookome-Okome, Tuviere (Author)
Contributors: Gorondensky, Jonah ; Rose, Eric ; Sauer, Jeffery ; Lum, Kristian ; Moodie, Erica E.M.
Format: Electronic Article
Language:English
Published: 2022
In: Journal of ethnicity in criminal justice
Year: 2022, Volume: 20, Issue: 2, Pages: 142-164
Online Access: Presumably Free Access
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Keywords:
Generalized estimating equations
clustered data
Racial Bias
Race
Police stops and searches
Description
Summary:The murder of George Floyd centered Minneapolis, Minnesota, in conversations on racial injustice in the US. We leverage open data from the Minneapolis Police Department to analyze individual, geographic, and temporal patterns in more than 170,000 police stops since 2016. We evaluate person and vehicle searches at the individual level by race using generalized estimating equations with neighborhood clustering, directly addressing neighborhood differences in police activity. Minneapolis exhibits clear patterns of disproportionate policing by race, wherein Black people are searched at higher rates compared to White people. Temporal visualizations indicate that police stops declined following the murder of George Floyd. This analysis provides contemporary evidence on the state of policing for a major metropolitan area in the United States.
ISSN:1537-7946
DOI:10.1080/15377938.2022.2086192