Key Takeaways
- Canopy collisions accounted for 28% of USPA skydiving fatalities from 2013-2022, totaling 48 out of 172 deaths
- Low turns caused 22% of fatalities in USPA data 2013-2022, with 38 deaths from improper low altitude maneuvers
- Medical events represented 14% of skydiving deaths (24 out of 172) per USPA 2013-2022 reports
- Skydiving fatality rate 0.39 per 100k jumps vs US motor vehicle 1.37 per 100M miles (NSC)
- USPA sport skydiving 0.66/100k jumps safer than hang gliding 1.2/100k (BHPA)
- Tandem skydiving 0.04/100k vs scuba 0.43/100k dives (DAN), 10x safer
- 92% of USPA fatalities 2013-2022 were male skydivers
- Average age of fatal skydiving victims in USPA 2022 was 45 years, ranging 25-72
- 65% of USPA fatalities 2013-2022 had over 500 jumps experience
- In 2022, the United States Parachute Association (USPA) recorded 10 skydiving fatalities out of approximately 3.46 million jumps in the US, resulting in a fatality rate of 0.29 per 100,000 jumps
- In 2021, USPA reported 11 fatalities from 3.5 million jumps, yielding a rate of 0.31 per 100,000 jumps, marking a slight increase from 2020
- The 2020 USPA data showed 9 skydiving deaths from 2.8 million jumps due to COVID impacts, rate of 0.32 per 100,000 jumps
- Skydiving fatality rate declined 72% from 1.39 per 100k jumps in 2000 to 0.39 in 2019 per USPA
- USPA fatalities dropped from 21 in 2011 to 10 in 2022, 52% decrease despite stable jump numbers
- Post-2015 spike, USPA rate fell from 0.60 to 0.29 per 100k by 2022, 52% improvement
From 2013 to 2022, canopy collisions led USPA skydiving deaths, making up 28% of fatalities.
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Demographics
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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.
Marcus Afolabi. (2026, February 13). Skydiving Fatality Statistics. Gitnux. https://gitnux.org/skydiving-fatality-statistics
Marcus Afolabi. "Skydiving Fatality Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/skydiving-fatality-statistics.
Marcus Afolabi. 2026. "Skydiving Fatality Statistics." Gitnux. https://gitnux.org/skydiving-fatality-statistics.
Sources & References
- Reference 1USPAuspa.org
uspa.org
- Reference 2FAAfaa.gov
faa.gov
- Reference 3PIApia.com
pia.com
- Reference 4BRITISHSKYDIVINGbritishskydiving.org
britishskydiving.org
- Reference 5CSPAcspa.ca
cspa.ca
- Reference 6APFapf.com.au
apf.com.au
- Reference 7SIAsia.org.nz
sia.org.nz
- Reference 8FAIfai.org
fai.org
- Reference 9INJURYFACTSinjuryfacts.nsc.org
injuryfacts.nsc.org







