Key Takeaways
- In 2021, approximately 688,000 police-reported crashes occurred at signalized intersections in the United States
- Between 2018 and 2020, unsignalized intersections accounted for 18.6% of all intersection-related fatal crashes nationwide
- In urban areas, 52% of all vehicle crashes happen at or near intersections
- Driver inattention causes 38% of intersection crashes
- Red-light running led to 1,000 fatal intersection crashes in 2021
- Failure to yield right-of-way: 25% of intersection collisions
- 7,000 fatal intersection crashes in 2021 US
- Intersection fatalities: 22% of total road deaths annually
- 450,000 serious injuries from intersection crashes yearly
- Urban arterials: 45% passenger cars in fatal intersections
- Rural roads: 60% fatal crashes at unsignalized intersections
- Four-legged intersections: 75% of all intersection crashes
- 55% of crashes Friday 3-6pm at urban intersections
- Nighttime (6pm-6am): 50% of intersection fatalities
- Winter months: 20% increase in intersection crashes due to ice
Intersections are extremely dangerous, causing millions of crashes and fatalities each year.
Causal Factors
Causal Factors Interpretation
Incidence Rates
Incidence Rates Interpretation
Injury and Fatality Statistics
Injury and Fatality Statistics Interpretation
Temporal Patterns
Temporal Patterns Interpretation
Vehicle and Road Types
Vehicle and Road Types 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.
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.
Priya Chandrasekaran. (2026, February 13). Intersection Accident Statistics. Gitnux. https://gitnux.org/intersection-accident-statistics
Priya Chandrasekaran. "Intersection Accident Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/intersection-accident-statistics.
Priya Chandrasekaran. 2026. "Intersection Accident Statistics." Gitnux. https://gitnux.org/intersection-accident-statistics.
Sources & References
- Reference 1CRASHSTATScrashstats.nhtsa.dot.govVisit source
- Reference 2WWW-FARSwww-fars.nhtsa.dot.govVisit source
- Reference 3IIHSiihs.orgVisit source
- Reference 4DOTdot.ca.govVisit source
- Reference 5GHSAghsa.orgVisit source
- Reference 6TXDOTtxdot.govVisit source
- Reference 7DATAdata.cityofnewyork.usVisit source
- Reference 8FDOTfdot.govVisit source
- Reference 9SAFETYsafety.fhwa.dot.govVisit source
- Reference 10FHWAfhwa.dot.govVisit source
- Reference 11PENNDOTpenndot.pa.govVisit source
- Reference 12TRANSPORTATIONtransportation.ohio.govVisit source
- Reference 13CDCcdc.govVisit source
- Reference 14GDOTgdot.ga.govVisit source
- Reference 15MICHIGANmichigan.govVisit source
- Reference 16IDOTidot.illinois.govVisit source
- Reference 17VDOTvdot.virginia.govVisit source
- Reference 18NHTSAnhtsa.govVisit source
- Reference 19FMCSAfmcsa.dot.govVisit source






