Key Takeaways
- In 2022, the US recorded 42,795 motor vehicle crash deaths, a rate of 12.9 deaths per 100,000 population, making it the leading cause of death for ages 1-54
- Texting while driving increases crash risk by 23 times, contributing to 1 in 4 accidents involving young drivers aged 18-20
- Drunk driving caused 13,524 fatalities in the US in 2022, accounting for 32% of all traffic deaths
- Falls from ladders cause 81,000 injuries annually in US homes/workplaces
- In 2021, falls killed 46,653 US adults 65+, rate of 117.6 per 100,000
- Ladder falls result in 300 deaths and 130,000 injuries yearly in US
- Operating a chainsaw causes 28,000 injuries yearly in US, 40 deaths
- In 2022, 5,486 fatal work injuries in US, rate 3.7 per 100,000 FTE
- Construction had 1,056 fatalities in 2022, 20% of total, highest industry
- Base jumping fatality rate 1 in 60 participants annually, highest extreme sport
- Skydiving US fatalities 10-15/year, rate 0.39 per 100,000 jumps
- Mountaineering on Denali has 64% summit success, 3-4 deaths/year
- In US, drowning kills 4,000/year, second for ages 5-14
- Poisoning deaths 107,941 in 2022, 70% opioids
- House fires kill 3,800 US civilians/year, injure 13,500
Driving dangerously and falling are the two leading causes of accidental death.
Falls
Falls Interpretation
Home and Domestic Accidents
Home and Domestic Accidents Interpretation
Sports and Extreme Activities
Sports and Extreme Activities Interpretation
Workplace Accidents
Workplace Accidents 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.
Helena Kowalczyk. (2026, February 13). Most Dangerous Activities Statistics. Gitnux. https://gitnux.org/most-dangerous-activities-statistics
Helena Kowalczyk. "Most Dangerous Activities Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/most-dangerous-activities-statistics.
Helena Kowalczyk. 2026. "Most Dangerous Activities Statistics." Gitnux. https://gitnux.org/most-dangerous-activities-statistics.
Sources & References
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nhtsa.gov
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carinsurance.com
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fmcsa.dot.gov
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bankrate.com
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cdc.gov
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road-safety.transport.ec.europa.eu
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who.int
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cavedivingaccidentdatabase.com
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dropzone.com
- Reference 29AVALANCHEavalanche.org
avalanche.org
- Reference 30CLIMBINGclimbing.com
climbing.com
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highlinefoundation.org
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bjsm.bmj.com
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olympics.com
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worldrugby.org
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nsaa.org
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ama-sportpilot.org
- Reference 37USHPAushpa.org
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- Reference 38BUNGYJUMPbungyjump.com
bungyjump.com
- Reference 39NFPAnfpa.org
nfpa.org
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- Reference 42FOODALLERGYfoodallergy.org
foodallergy.org
- Reference 43CHOPchop.edu
chop.edu






