Key Takeaways
- In 2022, construction injuries cost $13.5 billion in workers' compensation.
- Each construction fatality costs society $1.4 million on average.
- OSHA fines for construction violations totaled $167 million in 2022.
- In 2022, the construction industry recorded 1,056 workplace fatalities, accounting for 19.9% of all private industry fatal work injuries.
- Construction fatalities increased by 11.8% from 2021 to 2022, with a rate of 13.1 deaths per 100,000 full-time equivalent workers.
- From 2011 to 2022, falls to a lower level caused 39.7% of construction fatalities, totaling over 5,000 deaths.
- Falls to lower level caused 33.5% of construction fatalities from 2011-2021.
- Struck-by flying objects incidents: 8.2% of construction fatalities 2012-2022.
- Electrocution from overhead power lines: 42% of construction electrocutions 2011-2020.
- In 2022, construction industry saw 1,069,140 nonfatal injuries and illnesses involving days away from work, resulting in a rate of 2.0 cases per 100 full-time workers.
- From 2021 to 2022, nonfatal injury rates in construction decreased by 5.2% to 2.0 per 100 workers.
- In 2022, sprains/tears accounted for 28.4% of construction nonfatal injuries with days away from work.
- 85% of construction companies with formal safety programs have lower injury rates.
- OSHA training reduces injury rates by 52% in construction firms.
- 70% of construction workers report insufficient hazard training.
In 2022 construction injuries cost $13.5 billion and fatalities $1.4 million each, yet smart safety saves.
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Economic Impact Statistics Interpretation
Fatality Statistics
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Hazard-Specific Statistics
Hazard-Specific Statistics Interpretation
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Training and Compliance
Training and Compliance 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.
Leah Kessler. (2026, February 13). Construction Industry Safety Statistics. Gitnux. https://gitnux.org/construction-industry-safety-statistics
Leah Kessler. "Construction Industry Safety Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/construction-industry-safety-statistics.
Leah Kessler. 2026. "Construction Industry Safety Statistics." Gitnux. https://gitnux.org/construction-industry-safety-statistics.
Sources & References
- Reference 1BLSbls.gov
bls.gov
- Reference 2OSHAosha.gov
osha.gov
- Reference 3CPWRcpwr.com
cpwr.com
- Reference 4CDCcdc.gov
cdc.gov
- Reference 5NSCnsc.org
nsc.org
- Reference 6NIOSHniosh.cdc.gov
niosh.cdc.gov
- Reference 7AGCagc.org
agc.org
- Reference 8INJURYFACTSinjuryfacts.nsc.org
injuryfacts.nsc.org
- Reference 9NCCIncci.com
ncci.com







