Key Takeaways
- 3.5 million emergency department visits in the US were related to sports and recreation (2018)
- 2.9 million US sports and recreation injury emergency department visits occurred in 2019
- 30% of ski/snowboard injuries in one multi-center study involved the knee
- 15.0% of skiers reported using a helmet in 2015 (Switzerland study)
- 40.0% of snowboarders reported wearing a helmet in an observational study
- 0.8% of skiers reported use of a back protector (2017 study)
- Approximately 1 in 5 injuries in skiing are to the knee (reviewed incidence share)
- 38% of knee injuries in skiers were ligament injuries in an orthopedic study
- 17% of ski injuries involved fractures in a hospital-based dataset (2014–2016)
- Sports-related injuries contributed $42.5 billion in medical spending in the US (2013)
- Nonfatal sports and recreation injuries cost $48.8 billion in US medical and lost work time (2018)
- Total lifetime cost of an ACL injury was estimated at $24,000 (US study, 2010 dollars)
- The global snow sports equipment market was valued at $7.6 billion in 2023 (forecast baseline)
- Helmet market revenues for snow sports exceeded €1.2 billion in 2022 in a European segment analysis
- 3.2% of skiers used wearable activity tracking devices in a 2020 survey of winter sports users
Skiing injuries often hit the lower body and knee, but helmets and prevention programs can reduce risk.
Related reading
Epidemiology
Epidemiology Interpretation
Prevention & Safety
Prevention & Safety Interpretation
Injury Severity
Injury Severity Interpretation
Costs & Economic Impact
Costs & Economic Impact Interpretation
Market & Trends
Market & Trends 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.
Lars Eriksen. (2026, February 13). Ski Injury Statistics. Gitnux. https://gitnux.org/ski-injury-statistics
Lars Eriksen. "Ski Injury Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ski-injury-statistics.
Lars Eriksen. 2026. "Ski Injury Statistics." Gitnux. https://gitnux.org/ski-injury-statistics.
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