The Association Between Race, Traffic Stop Frequency, and Traffic Stop Outcome

by

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Ezekiel Popoola

Ezekiel Popoola is a senior Biology major and African-American studies minor at Wesleyan University. Ezekiel is from Queens, New York and is on the Pre-Medical track with the hopes of becoming a practicing physician. He is currently part of Professor Ruth Johnson’s Drosophila Fly Lab as a researcher and lab technician. Outside of the classroom, he likes to play and watch sports, listen to music, and play video games. 

Abstract:

This study investigates racial and gender disparities in Connecticut’s 2022 traffic stops, focusing on the frequency and outcomes of vehicle searches. Using data from the Connecticut Traffic Stops Study, it examines whether non-White drivers, including Black and Hispanic individuals, are disproportionately searched compared to White drivers and whether these searches yield contraband at comparable rates. Preliminary findings suggest non-White drivers experience higher search rates despite similar or lower contraband discovery rates, indicating potential racial bias in traffic stop practices. These results highlight the need for bias-reduction training within police departments to promote equitable policing, reduce unnecessary searches, and rebuild trust between law enforcement and communities. This analysis provides localized insights into systemic bias, informing broader discussions on law enforcement reform.

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