Key Takeaways
- Conveyors caused 12% of caught-in/between fatalities, 16 deaths 2022 BLS.
- OSHA: 32% caught-in pinch points on machinery, 2021 warehouse data.
- NSC: 89 caught-in warehouse deaths 2022, 40% conveyors.
- Overexertion from lifting caused 32% warehouse injuries, 42,100 cases 2022 BLS.
- OSHA: Manual pallet handling 55% overexertion, 2021.
- NSC: 28,000 back strains yearly warehouses.
- Slips accounted for 15% of warehouse injuries in 2022, totaling 12,340 cases per BLS data.
- OSHA reports 25% of warehouse slips due to wet floors, from 2021 inspections of 800 sites.
- NSC: 42,000 slip injuries in warehouses annually, 18% resulting in fractures.
- In 2022, forklift tip-overs accounted for 25% of all forklift-related fatalities in warehouses, resulting in 14 deaths.
- BLS reported 7,810 nonfatal forklift injuries in warehousing and storage in 2021, with 35% involving collisions with pedestrians.
- NSC data shows 42 forklift fatalities in warehouses in 2020, 28% due to operator error in unstable loads.
- Struck-by falling boxes caused 28% of warehouse injuries, 19,450 cases 2022 BLS.
- OSHA: 45% of struck-by incidents from unstable stacks, 2021 inspections.
- NSC: 142 warehouse fatalities from struck-by, 35% boxes/pallets 2022.
Conveyors and slips top warehouse caught-in and walking hazards, with hundreds of annual fatalities and major injuries.
Related reading
Caught-In/Between
Caught-In/Between Interpretation
More related reading
Ergonomic and Overexertion
Ergonomic and Overexertion Interpretation
More related reading
Falls and Slips
Falls and Slips Interpretation
More related reading
Forklift Accidents
Forklift Accidents Interpretation
More related reading
Struck-By Objects
Struck-By Objects 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). Warehouse Accidents Statistics. Gitnux. https://gitnux.org/warehouse-accidents-statistics
Leah Kessler. "Warehouse Accidents Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/warehouse-accidents-statistics.
Leah Kessler. 2026. "Warehouse Accidents Statistics." Gitnux. https://gitnux.org/warehouse-accidents-statistics.
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- Reference 50JJKELLERTRAININGjjkellertraining.com
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- Reference 51INVESTORSinvestors.fedex.com
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