Key Takeaways
- Falls caused 38.6% of construction fatalities from 2011-2018.
- Struck-by objects caused 24.6% of construction deaths over the past decade.
- Electrocutions accounted for 8.4% of construction fatalities.
- In 2022, construction accidents cost $13.5 billion in workers' compensation.
- Average cost per construction fatality was $1.4 million in direct costs.
- Nonfatal construction injuries cost $11.5 billion annually.
- In 2022, the U.S. construction sector had 1,056 fatal work injuries, accounting for one in five worker deaths across all industries.
- Falls to a lower level caused 391 construction fatalities in 2022, making it the leading cause of death in the industry.
- Struck by falling objects or equipment resulted in 151 construction worker deaths in 2022.
- In 2022, construction injuries with days away from work totaled 137,090 cases.
- The construction industry had a nonfatal injury rate of 2.0 cases per 100 full-time workers in 2022.
- Sprains, strains, and tears accounted for 28.4% of construction injuries requiring days away in 2022.
- Ladder safety training reduces accidents by 71%.
- Fall protection use prevents 75% of fall deaths.
- Hard hats reduce head injury severity by 60%.
Falls drive the deadliest construction accidents, with poor fall protection behind most fatal roof falls.
Accident Causes
Accident Causes Interpretation
Economic and Cost Statistics
Economic and Cost Statistics Interpretation
Fatal Injury Statistics
Fatal Injury Statistics Interpretation
Non-Fatal Injury Statistics
Non-Fatal Injury Statistics Interpretation
Safety and Prevention Statistics
Safety and Prevention Statistics 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.
Rachel Svensson. (2026, February 13). Construction Site Accident Statistics. Gitnux. https://gitnux.org/construction-site-accident-statistics
Rachel Svensson. "Construction Site Accident Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/construction-site-accident-statistics.
Rachel Svensson. 2026. "Construction Site Accident Statistics." Gitnux. https://gitnux.org/construction-site-accident-statistics.
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