RT Article
T1 Characterizing patterns in police stops by race in Minneapolis from 2016 to 2021
JF Journal of ethnicity in criminal justice
VO 20
IS 2
SP 142
OP 164
A1 Onookome-Okome, Tuviere
A2 Gorondensky, Jonah
A2 Rose, Eric
A2 Sauer, Jeffery
A2 Lum, Kristian
A2 Moodie, Erica E.M.
LA English
YR 2022
UL https://krimdok.uni-tuebingen.de/Record/1810689465
AB 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.
K1 Generalized estimating equations
K1 clustered data
K1 Racial Bias
K1 Race
K1 Police stops and searches
DO 10.1080/15377938.2022.2086192