Key Takeaways
- In 2021, 83% of motorcycle crashes resulted in injury or death to the rider
- Single-vehicle motorcycle crashes account for 34% of fatal crashes
- Multi-vehicle crashes involve 66% of motorcycle fatalities, often at intersections
- In 2021, 5,932 motorcyclists were killed in the United States, marking the highest number since 1975
- Motorcyclists were 28 times more likely than passenger car occupants to die in a motor vehicle crash per vehicle mile traveled in 2021
- From 1982 to 2021, motorcycle rider deaths per registered vehicle increased by 412%
- Approximately 82,000 motorcyclists were injured in US crashes in 2021
- Motorcycle crash injuries cost $17 billion annually in the US, including medical and productivity losses
- In 2020, 89,000 motorcyclists were treated in US emergency departments for crash injuries
- Alcohol use is involved in 42% of fatal motorcycle crashes in the US
- Speeding contributes to 33% of motorcycle fatalities
- Riders without valid license account for 27% of fatal crashes
- Helmets reduce fatality risk by 37% and head injury by 69%
- Universal helmet laws reduce motorcycle deaths by 37%
- ABS brakes reduce fatal crashes by 31%
Nighttime, alcohol, intersections, and speeding drive most deadly motorcycle crashes, so helmets and training save lives.
Related reading
Crash and Accident Statistics
Crash and Accident Statistics Interpretation
Fatality Statistics
Fatality Statistics Interpretation
More related reading
Injury Statistics
Injury Statistics Interpretation
Risk Factor Statistics
Risk Factor Statistics Interpretation
More related reading
Safety and Prevention Statistics
Safety and Prevention 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 Kowalski. (2026, February 13). Motorcycle Danger Statistics. Gitnux. https://gitnux.org/motorcycle-danger-statistics
David Kowalski. "Motorcycle Danger Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/motorcycle-danger-statistics.
David Kowalski. 2026. "Motorcycle Danger Statistics." Gitnux. https://gitnux.org/motorcycle-danger-statistics.
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