Key Takeaways
- Ankle sprains accounted for 23% of all cheerleading injuries in high school athletes
- Concussions represented 9.7% of cheerleading injuries in NCAA surveillance 2009-2014
- Lower extremity injuries comprised 72% of cheerleading ED visits in youth
- Females aged 12-17 comprised 89% of cheer ED visits 2013-2018
- High school cheerleaders (14-18 years) had 65% of all youth cheer injuries
- College females aged 18-22: 72% of NCAA cheer injuries
- In a study of 2,451 cheerleaders across 30 high schools, the overall injury rate was 0.99 per 1000 athletic exposures (AEs)
- Cheerleading accounted for 66.4% of all catastrophic injuries in female high school athletes between 1982-2011, totaling 113 cases
- Youth cheerleaders aged 5-14 experienced 37,060 emergency department visits for injuries in 2013
- 35% of injuries required surgery in severe cases
- 24% of high school cheer injuries resulted in >7 days time loss
- 12% of cheer concussions led to post-concussion syndrome
- Stunting accounted for 52% of cheerleading injuries in high school
- Inadequate spotters increased injury risk by 3.4 times in collegiate cheer
- Prior injury history raised cheer injury odds by 2.7 (OR=2.7)
Ankle sprains and concussions dominate cheer injuries, yet strong prevention and safety practices can greatly reduce them.
Common Injuries
Common Injuries Interpretation
Demographics
Demographics Interpretation
Incidence and Prevalence
Incidence and Prevalence Interpretation
Outcomes and Prevention
Outcomes and Prevention Interpretation
Risk Factors
Risk Factors 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.
Karl Becker. (2026, February 13). Cheerleading Injury Statistics. Gitnux. https://gitnux.org/cheerleading-injury-statistics
Karl Becker. "Cheerleading Injury Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cheerleading-injury-statistics.
Karl Becker. 2026. "Cheerleading Injury Statistics." Gitnux. https://gitnux.org/cheerleading-injury-statistics.
Sources & References
- Reference 1NCBIncbi.nlm.nih.gov
ncbi.nlm.nih.gov
- Reference 2BJSMbjsm.bmj.com
bjsm.bmj.com
- Reference 3CDCcdc.gov
cdc.gov
- Reference 4PUBMEDpubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov
- Reference 5MERIDIANmeridian.allenpress.com
meridian.allenpress.com
- Reference 6NCBIncbi.nlm.nih.nih.gov
ncbi.nlm.nih.nih.gov
- Reference 7PUBMEDpubmed.ncbi.nih.gov
pubmed.ncbi.nih.gov
- Reference 8NFHSnfhs.org
nfhs.org







