Key Takeaways
- Falls, slips, trips caused 47% of nonfatal construction injuries in 2022.
- Overexertion and bodily reaction: 34% of construction nonfatal days-away cases 2022.
- Struck by object or equipment: 17% of construction nonfatal injuries 2022.
- In 2022, construction workers experienced 1,056 fatal injuries, accounting for 19.9% of all workplace fatalities in the US.
- The construction industry had a fatal injury rate of 13.1 per 100,000 full-time equivalent workers in 2022.
- Falls to a lower level caused 395 construction fatalities in 2022, representing 37.4% of construction deaths.
- Construction nonfatal injury rate was 2.1 cases per 100 full-time workers in 2022.
- In 2022, construction had 150,360 nonfatal injuries and illnesses with days away from work.
- Sprains, strains, tears accounted for 32.4% of construction nonfatal cases in 2022.
- Construction costs $170 billion annually in US due to injuries 2022.
- Fatalities cost $1.4 million per death in construction.
- Nonfatal injury average cost: $42,000 per case 2022.
- Construction workers aged 25-34 had 32% of nonfatal injuries in 2022.
- Males comprised 92% of construction injury cases in 2022.
- Hispanic workers: 30% of construction nonfatal injuries 2022.
Falls and overexertion drive most construction injuries, while heat and struck by incidents still pose major fatal risks.
Related reading
Causes of Injuries
Causes of Injuries Interpretation
Fatalities
Fatalities Interpretation
More related reading
Non-Fatal Injuries
Non-Fatal Injuries Interpretation
Trends and Costs
Trends and Costs Interpretation
More related reading
Worker Characteristics
Worker Characteristics 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.
Timothy Grant. (2026, February 13). Construction Injury Statistics. Gitnux. https://gitnux.org/construction-injury-statistics
Timothy Grant. "Construction Injury Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/construction-injury-statistics.
Timothy Grant. 2026. "Construction Injury Statistics." Gitnux. https://gitnux.org/construction-injury-statistics.
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