Characterizing patterns in police stops by race in Minneapolis from 2016 to 2021. Issue 2 (3rd April 2022)

• Record Type: Journal Article
• Authors: Onookome-Okome, Tuviere; Gorondensky, Jonah; Rose, Eric; Sauer, Jeffery; Lum, Kristian; Moodie, Erica E.M.
• Is Part Of: Journal of ethnicity in criminal justice. Volume 20:Issue 2(2022)
• Page Start: 142
• Page End: 164
• Publication Date: 2022-04-03
• Subjects: Police stops and searches -- race -- racial bias -- clustered data -- generalized estimating equations; Discrimination in criminal justice administration -- United States -- Periodicals; Crime and race -- United States -- Periodicals; Racism in criminology -- Periodicals; 364.089
• DOI: 10.1080/15377938.2022.2086192
• Languages: English
• ISSNs: 1537-7938

Abstract

Abstract: 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.