Key Takeaways
- 39% of U.S. motorcycle crashes involve intersection left turns by other vehicles.
- Speeding contributes to 33% of U.S. motorcycle fatalities.
- Impaired riding (BAC 0.08+) in 42% of fatal motorcycle crashes.
- Males account for 92% of all hospitalized motorcycle injury cases in U.S.
- Riders aged 30-49 comprise 42% of U.S. motorcycle fatalities and injuries.
- 80% of motorcycle crash victims are male, per global WHO data.
- In 2022, 5,486 motorcyclists were killed on U.S. roads, marking a 2% increase from 2021 and representing 14% of all traffic fatalities.
- Motorcycle rider deaths rose by 25% from 2019 to 2022 in the United States, reaching 6,335 total fatalities including passengers.
- In 2021, there were 5,932 motorcyclist fatalities in the U.S., with 83% being riders and 17% passengers.
- Annually, U.S. emergency departments treat 92,000 motorcyclists for injuries from crashes.
- In 2021, 82,000 motorcyclists were injured in U.S. traffic crashes, down 3% from 2020.
- Motorcycle crash injuries cost U.S. $17 billion annually in medical and productivity losses.
- Helmets reduce fatality risk by 37% and head injury by 69%.
- Universal helmet laws reduce motorcycle deaths by 24% per NHTSA.
- ABS brakes on motorcycles reduce crashes by 31% per MAIDS.
Intersection left turns, speeding, and impairment drive most fatal motorcycle crashes, highlighting urgent prevention.
Related reading
Crash Causes
Crash Causes Interpretation
Demographics
Demographics Interpretation
Fatalities
Fatalities Interpretation
More related reading
Non-Fatal Injuries
Non-Fatal Injuries Interpretation
Safety Interventions
Safety Interventions 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.
Kevin O'Brien. (2026, February 13). Motorcycle Injuries Statistics. Gitnux. https://gitnux.org/motorcycle-injuries-statistics
Kevin O'Brien. "Motorcycle Injuries Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/motorcycle-injuries-statistics.
Kevin O'Brien. 2026. "Motorcycle Injuries Statistics." Gitnux. https://gitnux.org/motorcycle-injuries-statistics.
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