Key Takeaways
- Distracted driving caused 3,142 deaths and 362,000 injuries in U.S. 2022.
- Drunk driving led to 13,524 U.S. fatalities and thousands of injuries in 2022.
- Speeding was a factor in 29% of all U.S. fatal crashes in 2021.
- Males are 3 times more likely to be killed in crashes.
- In U.S., 53% of traffic fatalities were drivers in 2022.
- Ages 16-20: Highest crash rate per mile driven in U.S.
- In 2022, the United States recorded 42,514 motor vehicle traffic fatalities, representing a 0.3% increase from 2021 according to preliminary estimates.
- Globally, road traffic crashes killed approximately 1.19 million people in 2023, with 90% occurring in low- and middle-income countries.
- In the European Union, 19,976 people died in road accidents in 2022, a rate of 4.5 per 100,000 inhabitants.
- In 2021, there were over 5 million motor vehicle crashes in the U.S., resulting in 42,939 fatalities.
- U.S. traffic crashes caused 5.25 million injuries in 2020.
- Globally, road crashes injure 20-50 million people annually.
- U.S. fatalities rose 16% during pandemic 2020-2021.
- Global road deaths down 3.6% from 2010-2021.
- EU fatalities halved since 2001 to 2022.
Speeding, alcohol, and distracted driving continue to drive most road deaths worldwide, with U.S. fatalities rising in 2022.
Related reading
Causes
Causes Interpretation
More related reading
Demographics
Demographics Interpretation
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Fatalities
Fatalities Interpretation
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Injuries
Injuries Interpretation
More related reading
Trends
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.
Nathan Caldwell. (2026, February 13). Traffic Accident Statistics. Gitnux. https://gitnux.org/traffic-accident-statistics
Nathan Caldwell. "Traffic Accident Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/traffic-accident-statistics.
Nathan Caldwell. 2026. "Traffic Accident Statistics." Gitnux. https://gitnux.org/traffic-accident-statistics.
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