Key Takeaways
- Males speeding violations 3x females per mile 2020
- DUI arrests: 80% male drivers in 2021
- Males: 2.5x more likely to not wear seatbelts 2019
- Males aged 16-19 have 1.8 crashes per million miles vs 1.4 females
- Women over 80: 1.4x higher crash rate per mile than men 2019
- Black males: 2x white female fatality rate adjusted for miles 2020
- Males drove 41% more miles than females annually in 2017
- Per 100 million VMT, female crash involvement rate 1.18 vs male 0.92 in 2019
- Males: 58% of total vehicle miles traveled (VMT) in US 2020
- In 2021, male drivers accounted for 71% of all driver fatalities in the US, compared to 29% for female drivers
- Males aged 16-24 represented 13% of all licensed drivers but 25% of total driver fatalities in 2020
- Female drivers had a fatality rate of 1.1 per 100 million miles driven in 2019, versus 1.5 for males
- In 2020, nonfatal crash injuries: males 62% of total hospitalized
- Females had 1.2 times higher rate of minor injuries per crash in 2019
- Male drivers: 58% of emergency department visits for crash injuries 2021
Across years of crash data, men drive more miles and face higher rates of speeding and other risky behaviors.
Behavioral Causes
Behavioral Causes Interpretation
Demographic Breakdowns
Demographic Breakdowns Interpretation
Exposure and Mileage
Exposure and Mileage Interpretation
Fatality Statistics
Fatality Statistics Interpretation
Injury Statistics
Injury Statistics 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 Sutherland. (2026, February 13). Gender Car Crash Statistics. Gitnux. https://gitnux.org/gender-car-crash-statistics
David Sutherland. "Gender Car Crash Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/gender-car-crash-statistics.
David Sutherland. 2026. "Gender Car Crash Statistics." Gitnux. https://gitnux.org/gender-car-crash-statistics.
Sources & References
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crashstats.nhtsa.dot.gov
- Reference 2IIHSiihs.org
iihs.org
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nhtsa.gov
- Reference 4FMCSAfmcsa.dot.gov
fmcsa.dot.gov
- Reference 5CDCcdc.gov
cdc.gov
- Reference 6DMVdmv.ca.gov
dmv.ca.gov
- Reference 7TXDOTtxdot.gov
txdot.gov
- Reference 8FLHSMVflhsmv.gov
flhsmv.gov
- Reference 9NYny.gov
ny.gov
- Reference 10NHTSnhts.ornl.gov
nhts.ornl.gov
- Reference 11WHOwho.int
who.int
- Reference 12NIAAAniaaa.nih.gov
niaaa.nih.gov
- Reference 13IIIiii.org
iii.org
- Reference 14FHWAfhwa.dot.gov
fhwa.dot.gov
- Reference 15BTSbts.gov
bts.gov
- Reference 16WEATHERweather.gov
weather.gov
- Reference 17DOTdot.ca.gov
dot.ca.gov
- Reference 18AAAFOUNDATIONaaafoundation.org
aaafoundation.org
- Reference 19GHSAghsa.org
ghsa.org
- Reference 20AAAaaa.com
aaa.com
- Reference 21INSUREinsure.com
insure.com
- Reference 22VAva.gov
va.gov
- Reference 23NCBIncbi.nlm.nih.gov
ncbi.nlm.nih.gov
- Reference 24GOVgov.uk
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- Reference 25BITREbitre.gov.au
bitre.gov.au
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tc.canada.ca







