Key Takeaways
- In 2023 USA Cheer Nationals, over 10,000 teams competed across all divisions
- The International Cheer Union World Championships 2023 featured 3,200 teams from 104 countries
- Varsity Summit 2023 had 1,500+ teams, with Level 7 division debuting 45 elite squads
- Cheerleading industry generated $500 million in revenue in 2023 from events and apparel
- Varsity Brands, largest cheer company, reported $1.2 billion revenue in 2023 fiscal year
- Cheerleading uniforms market size reached $250 million in US 2023, 5% CAGR
- Cheerleaders VO2 max averages 45-55 ml/kg/min, comparable to soccer players, per 2022 study of 100 elite athletes
- Average cheerleader body fat 18-22% for females, 10-14% males in college level 2023
- Flexibility: 95% of cheerleaders achieve full splits bilaterally after 2 years training, 2023 flexibility study
- High school cheerleaders suffer 0.99 injuries per 1,000 athlete exposures annually, lower than football's 4.4, per 2022 NFHS data
- Catastrophic injuries in cheerleading occur at 0.6 per 100,000 participants yearly, mostly spinal, 1982-2022
- 62% of cheerleading injuries are to lower extremities, primarily ankles and knees, in 2023 study of 5,000 cases
- In the 2022-2023 school year, 406,869 girls participated in high school cheerleading across the United States, representing 10.8% of total female high school athletes
- Approximately 3.5 million youth cheerleaders under age 14 participated in cheerleading programs in the US in 2023, with 55% being female
- College cheerleading saw 15,238 participants in NCAA institutions during the 2021-2022 season, split as 12,500 women and 2,738 men
In 2023, cheerleading competitions topped 10,000 teams in the US and drew millions worldwide.
Competitions and Awards
Competitions and Awards Interpretation
Economic Impact
Economic Impact Interpretation
Health and Fitness
Health and Fitness Interpretation
Injuries and Safety
Injuries and Safety Interpretation
Participation and Demographics
Participation and Demographics 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). Cheerleading Statistics. Gitnux. https://gitnux.org/cheerleading-statistics
Leah Kessler. "Cheerleading Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cheerleading-statistics.
Leah Kessler. 2026. "Cheerleading Statistics." Gitnux. https://gitnux.org/cheerleading-statistics.
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