Key Takeaways
- Improper turning caused 22% of all collisions in 2021.
- Unsafe speed primary factor in 29% of crashes in 2021.
- DUI involved in 11% of all collisions statewide 2021.
- Drivers aged 16-24: 15% of at-fault drivers in 2021.
- Males: 62% of drivers in collisions 2021.
- License holders 25-34: highest crash rate per capita 2021.
- In 2022, California recorded 4,454 traffic fatalities, a 4.3% increase from 2021.
- Los Angeles County had 1,046 traffic deaths in 2022, accounting for 23.5% of statewide total.
- Motorcyclists comprised 27% of California's traffic fatalities in 2022 with 822 deaths.
- California had 177,372 injury crashes in 2021.
- Los Angeles County injury collisions: 48,925 in 2021.
- Serious injuries from traffic crashes: 11,000+ in 2021.
- Interstate 5: 18% statewide crashes 2021.
- Fridays peak day: 16% crashes 2021.
- 5-8pm rush hour: 28% collisions 2021.
In 2021 and 2022, California crashes were driven by speed, DUI, and unsafe driving, with fatalities rising.
Related reading
Collision Causes
Collision Causes Interpretation
Driver and Victim Demographics
Driver and Victim Demographics Interpretation
More related reading
Fatal Crashes and Deaths
Fatal Crashes and Deaths Interpretation
Injury Crashes
Injury Crashes Interpretation
More related reading
Location and Time Trends
Location and Time Trends 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.
Gabrielle Fontaine. (2026, February 13). California Car Accident Statistics. Gitnux. https://gitnux.org/california-car-accident-statistics
Gabrielle Fontaine. "California Car Accident Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/california-car-accident-statistics.
Gabrielle Fontaine. 2026. "California Car Accident Statistics." Gitnux. https://gitnux.org/california-car-accident-statistics.
Sources & References
- Reference 1OTSots.ca.gov
ots.ca.gov
- Reference 2ISWITRSiswitrs.chp.ca.gov
iswitrs.chp.ca.gov
- Reference 3DOTdot.ca.gov
dot.ca.gov
- Reference 4CHPchp.ca.gov
chp.ca.gov
- Reference 5DMVdmv.ca.gov
dmv.ca.gov







