Key Takeaways
- In 2020, males accounted for 83% of 95,200 ATV injuries
- Children aged 10-14 had the highest ATV injury rate of 45.2 per 100,000 in 2022
- Females represented 17% of ATV injuries from 2018-2022, averaging 15,800 annually
- Total economic cost of ATV injuries exceeded $3.2 billion in 2022, including medical and lost wages
- Average medical cost per ATV injury hospitalization was $32,500 in 2021
- Helmet use reduced ATV injury costs by 45%, saving $450 million annually
- In 2022, 611 ATV-related deaths occurred in the U.S., a 10% rise from 2021
- From 2017-2021, average 487 ATV fatalities per year, with 72% male victims
- Children under 16 accounted for 19% of ATV deaths in 2022, totaling 116 fatalities
- In 2022, an estimated 98,000 ATV-related injuries were treated in U.S. emergency departments, marking a 5% increase from 2021
- From 1982 to 2022, over 1.4 million non-fatal ATV injuries occurred in the U.S., with an average of 55,000 per year in recent decades
- In 2021, ATV injuries accounted for 0.6% of all consumer product-related injuries in the U.S., totaling 92,400 cases
- Head injuries were the most common ATV injury type, comprising 32% of 98,000 cases in 2022
- Upper extremity fractures occurred in 28% of ATV injuries from 2018-2022, averaging 25,200 annually
- Spinal injuries from ATV rollovers affected 12% of victims in 2021, or 11,088 cases
ATV injuries rose sharply in recent years, with young riders, males, and unhelmeted crashes driving costs and deaths.
Related reading
Demographic Data
Demographic Data Interpretation
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Economic Impacts and Prevention
Economic Impacts and Prevention Interpretation
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Fatality Statistics
Fatality Statistics Interpretation
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Incidence Rates
Incidence Rates Interpretation
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Specific Injury Types
Specific Injury 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. 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.
Leah Kessler. (2026, February 13). Atv Injuries Statistics. Gitnux. https://gitnux.org/atv-injuries-statistics
Leah Kessler. "Atv Injuries Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/atv-injuries-statistics.
Leah Kessler. 2026. "Atv Injuries Statistics." Gitnux. https://gitnux.org/atv-injuries-statistics.
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