Key Takeaways
- In 2019, the BLS Census of Fatal Occupational Injuries (CFOI) listed 5,486 hand-related deaths in the U.S., indicating severe harm outcomes are significant even when nonfatal injuries dominate numerically
- 2,611,000 workplace hand injuries (2019) in the United States were reported as nonfatal cases involving days away from work, highlighting the scale of hand safety problems
- 27% of all nonfatal occupational injuries and illnesses in the U.S. involved hand or finger injuries in 2019, indicating hands are the most frequently impacted body part group
- More than 90% of workplace hand injuries involve contact with a sharp object, pinch/crush, or impact hazard, showing why glove selection and engineering controls are critical
- EN ISO 21420 specifies general requirements for glove design and handling safety, including sizing and glove testing requirements relevant to hand injury prevention
- ASTM F1790 tests resistance to puncture for cut/puncture protective gloves, providing a standardized metric organizations use to compare hand-protection performance
- OSHA’s PPE standard requires retraining when necessary (e.g., changes in workplace hazards or PPE); this creates measurable retraining triggers for hand safety programs
- OSHA 29 CFR 1910.138 specifies that gloves must be selected based on hazards identified, including temperature, physical hazards, and chemical hazards, making hazard assessment a required measurable step
- LOTO effectiveness is measured in audits and compliance checks; OSHA’s LOTO standard requires inspection of procedures at least annually, a measurable implementation metric
- In a randomized trial of glove use among healthcare workers, appropriate glove use was associated with a significant reduction in hand dermatitis severity scores compared with inconsistent glove use
- A meta-analysis of protective glove interventions reported that glove use significantly reduced hand eczema incidence/severity (pooled effect statistically significant), supporting gloves as an evidence-based control for dermatitis
- A systematic review concluded that hand protection is effective for reducing the risk of certain occupational skin diseases, with most included studies showing protective benefit
- North America accounted for the largest share of the hand protection market in 2023 (approximately 35%), driven by stringent worker safety regulation and industrial demand
- The hand protection market is forecast to grow at a CAGR of about 7.5% from 2024 to 2032, indicating sustained investment in safer work products
- In 2024, the cut-resistant gloves segment accounted for the largest revenue share in hand protection, reflecting prioritization of cut hazard mitigation
In 2019, hands caused thousands of fatal and millions of nonfatal injuries, making glove safety a top priority.
Related reading
Workplace Burden
Workplace Burden Interpretation
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Regulatory & Standards
Regulatory & Standards Interpretation
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Implementation Metrics
Implementation Metrics Interpretation
Effectiveness Evidence
Effectiveness Evidence Interpretation
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Market Dynamics
Market Dynamics Interpretation
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Cost Analysis
Cost Analysis 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.
Isabelle Moreau. (2026, February 13). Hand Safety Statistics. Gitnux. https://gitnux.org/hand-safety-statistics
Isabelle Moreau. "Hand Safety Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/hand-safety-statistics.
Isabelle Moreau. 2026. "Hand Safety Statistics." Gitnux. https://gitnux.org/hand-safety-statistics.
References
- 1bls.gov/iif/oshwc/cfoi/cfch0011.htm
- 2bls.gov/iif/oshwc/cfoi/cfch0015.htm
- 3bls.gov/iif/oshwc/osh/case/cd.htm
- 19bls.gov/iif/
- 35bls.gov/iif/oshwc/cfoi/cfch0010.htm
- 4cdc.gov/nchs/fastats/injury.htm
- 6cdc.gov/niosh/docs/2016-107/pdfs/2016-107.pdf
- 10cdc.gov/niosh/topics/hierarchy/
- 5osha.gov/laws-regs/standardinterpretations/1999-10-29
- 16osha.gov/personal-protective-equipment
- 24osha.gov/machine-guarding
- 34osha.gov/training
- 7iso.org/standard/65367.html
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- 17iso.org/standard/61625.html
- 8astm.org/f1790.html
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- 30alliedmarketresearch.com/hand-protection-gloves-market-A11071
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- 32globenewswire.com/en/news-release/2023/08/21/2735710/0/en/Nitrile-Gloves-Market-Size-Was-Valued-at-XX-XX-Billion-in-2022.html







