Key Takeaways
- In 2018 BJS data, 12% of traffic stops resulted in citations nationwide
- Stanford study: 50.5% of stops end in warning only, 2015-2020 average
- California 2021: 58% warnings, 35% citations, 7% arrests from stops
- In 2019, Black drivers in Oakland, California were stopped at 19.8% of traffic stops despite comprising only 9.7% of the local population
- A 2020 study found that Hispanic drivers in Los Angeles County were 1.5 times more likely to be stopped for traffic violations than white drivers, controlling for driving patterns
- In Ferguson, Missouri, from 2012-2014, African Americans accounted for 85% of vehicle stops while making up 67% of the population
- In 2019, during traffic stops in North Carolina, contraband was found in only 21% of Black driver searches vs 29% for whites
- Illinois State Police 2020: Search hit rate for Latinos 18%, whites 24%
- New Jersey 2019: Black search yield 22.5%, white 27.1%
- Nationwide 2018, 78% of stops daytime, 22% nighttime per Stanford
- Urban areas 65% of all traffic stops in US 2019 BJS, rural 20%, suburban 15%
- California 2021: 45% stops on weekends, 55% weekdays
- In 2020, 2.1% of traffic stops nationwide involved use of force according to BJS
- Minneapolis pre-2020: 0.3% stops with force, higher for Black drivers at 0.5%
- California POST 2021: Force used in 1.2% of stops statewide
Most traffic stops end with warnings, while citations and arrests remain much lower, varying by state and community.
Citation and Warning Outcomes
Citation and Warning Outcomes Interpretation
Racial and Ethnic Disparities
Racial and Ethnic Disparities Interpretation
Search and Contraband Rates
Search and Contraband Rates Interpretation
Temporal and Geographic Trends
Temporal and Geographic Trends Interpretation
Use of Force Incidents
Use of Force Incidents Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
David Kowalski. (2026, February 13). Police Traffic Stop Statistics. Gitnux. https://gitnux.org/police-traffic-stop-statistics
David Kowalski. "Police Traffic Stop Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/police-traffic-stop-statistics.
David Kowalski. 2026. "Police Traffic Stop Statistics." Gitnux. https://gitnux.org/police-traffic-stop-statistics.
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