Key Takeaways
- Concussion rates in youth football reached 6.4 per 10,000 AEs in games for ages 6-12
- 40% of youth football concussions occur in practices under age 14
- High school football concussions: 11.2 per 10,000 AEs vs 0.82 in soccer
- A study found that youth football players aged 6-12 experienced 4.6 injuries per 1,000 athletic exposures (AEs) during practices in 2012-2014
- High school football accounted for 12.9% of all sport-related injuries treated in U.S. emergency departments among 5-18 year olds from 2010-2019
- The injury rate for youth tackle football games was 18.2 per 1,000 AEs compared to 5.2 per 1,000 AEs in practices
- 12% of youth football injuries require surgery, primarily knee/shoulder
- 25,000 youth football injuries lead to hospitalization yearly
- Average hospital stay for severe youth football fractures: 3.2 days
- Shoulder injuries account for 15-20% of youth tackle football injuries
- Knee ligament injuries (ACL/MCL) occur at 0.12 per 1,000 AEs in youth football
- Ankle sprains represent 12% of all youth football injuries
- Younger/smaller players have 2x injury risk in youth football
- Prior concussion increases risk 3x for future concussions in youth
- Flag football reduces injury risk by 75% vs tackle in youth
Youth tackle football drives high concussion burden, with practices causing most cases and long recovery times.
Concussion Data
Concussion Data Interpretation
Injury Incidence Rates
Injury Incidence Rates Interpretation
Medical Outcomes
Medical Outcomes Interpretation
Other Injury Types
Other Injury Types Interpretation
Risk Factors & Prevention
Risk Factors & Prevention 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). Youth Tackle Football Injuries Statistics. Gitnux. https://gitnux.org/youth-tackle-football-injuries-statistics
Lars Eriksen. "Youth Tackle Football Injuries Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/youth-tackle-football-injuries-statistics.
Lars Eriksen. 2026. "Youth Tackle Football Injuries Statistics." Gitnux. https://gitnux.org/youth-tackle-football-injuries-statistics.
Sources & References
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ncbi.nlm.nih.gov
- Reference 3JOURNALSjournals.lww.com
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- Reference 4PUBMEDpubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov
- Reference 5ORTHOJOURNALorthojournal.org
orthojournal.org
- Reference 6JOURNALSjournals.sagepub.com
journals.sagepub.com
- Reference 7AJSMajsm.org
ajsm.org
- Reference 8CDCcdc.gov
cdc.gov
- Reference 9AJPHajph.aphapublications.org
ajph.aphapublications.org
- Reference 10SPORTSMEDRESsportsmedres.org
sportsmedres.org
- Reference 11AAFPaafp.org
aafp.org
- Reference 12BUbu.edu
bu.edu







