Key Takeaways
- Improper ladder angle causes 30% of falls.
- Slippery surfaces responsible for 23% of ladder accidents.
- Using wrong ladder type: 19% of incidents.
- Males account for 81% of ladder-related injuries.
- Adults aged 50-69 have the highest ladder injury rates.
- Construction workers suffer 43% of occupational ladder injuries.
- Ladder fatalities: 81 per year in construction (2011-2015 avg).
- Average hospital cost per ladder injury: $24,000.
- Proper training reduces ladder injuries by 71%.
- In 2021, there were 37,380 ladder-related injuries treated in U.S. emergency departments.
- Ladder falls account for 81% of home construction fall injuries.
- Approximately 300 workers are killed annually from ladder falls in the U.S.
- Fractures are the most common ladder injury type (27%).
- Sprains/strains account for 24% of ladder-related ED visits.
- Head injuries from ladder falls occur in 10% of cases.
Lack of 3 point contact and improper angle cause most ladder falls, making training and PPE crucial.
Related reading
Causes and Risk Factors
Causes and Risk Factors Interpretation
Demographics
Demographics Interpretation
Outcomes and Prevention
Outcomes and Prevention Interpretation
More related reading
Prevalence and Incidence
Prevalence and Incidence Interpretation
Types of Injuries
Types of Injuries 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). Ladder Injury Statistics. Gitnux. https://gitnux.org/ladder-injury-statistics
Karl Becker. "Ladder Injury Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/ladder-injury-statistics.
Karl Becker. 2026. "Ladder Injury Statistics." Gitnux. https://gitnux.org/ladder-injury-statistics.
Sources & References
- Reference 1CPSCcpsc.gov
cpsc.gov
- Reference 2CDCcdc.gov
cdc.gov
- Reference 3BLSbls.gov
bls.gov
- Reference 4OSHAosha.gov
osha.gov
- Reference 5INJURYFACTSinjuryfacts.nsc.org
injuryfacts.nsc.org
- Reference 6PUBMEDpubmed.ncbi.nlm.nih.gov
pubmed.ncbi.nlm.nih.gov
- Reference 7WHOwho.int
who.int
- Reference 8HSEhse.gov.uk
hse.gov.uk
- Reference 9LNIlni.wa.gov
lni.wa.gov
- Reference 10SAFEWORKAUSTRALIAsafeworkaustralia.gov.au
safeworkaustralia.gov.au
- Reference 11WSIBwsib.ca
wsib.ca
- Reference 12OSHAosha.europa.eu
osha.europa.eu
- Reference 13NSCnsc.org
nsc.org







