Key Takeaways
- In 2018, there were 429,000 nonfatal hand/wrist injuries treated in U.S. hospital emergency departments
- In 2018, 67.2% of emergency-department-treated hand/wrist injuries were treated in males
- In 2018, the age group 20–24 years accounted for 11.8% of emergency-department-treated hand/wrist injuries
- In the 2016–2018 U.S. National Electronic Injury Surveillance System (NEISS) data, power and hand tools were responsible for 30% of reported workshop injuries
- In NEISS data, hand tools (excluding power tools) accounted for 16% of workshop injuries
- In CPSC’s NEISS-based analysis, tools (power and hand) were associated with 36% of injuries involving sharp objects
- In 2022, there were 803,000 nonfatal workplace injuries involving “Hand, finger, and thumb” according to BLS SOII
- In 2022, “Hand, finger, and thumb” injuries accounted for 7.5% of all nonfatal workplace injuries in BLS SOII data
- In 2022, there were 183,000 injuries involving “Wrist” in BLS SOII data
- CDC NEISS report indicates that most hand/wrist injuries are treated as non-serious and discharged, with 58.1% discharged home in 2018
- In CDC NEISS report for 2018, 8.3% of hand/wrist injuries were treated and transferred to another facility
- In CDC NEISS report for 2018, 21.0% resulted in hospital admission or observation
- The CDC reports that 1 in 5 adults in the U.S. have activity limitations due to arthritis and related conditions that can increase hand vulnerability
- OSHA states that using proper gloves and tool guards can reduce hand injuries
- OSHA states that selecting the right tool reduces risk of cuts, punctures, and caught-between injuries
In 2018, 429,000 hand/wrist injuries hit ER, often from cuts and falls.
Incidence & Counts
Incidence & Counts Interpretation
Tool-specific Mechanisms
Tool-specific Mechanisms Interpretation
Outcomes & Severity
Outcomes & Severity Interpretation
Demographics, Context & Risk Groups
Demographics, Context & Risk Groups Interpretation
Prevention, Safety Practices & Costs
Prevention, Safety Practices & Costs 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.
Karl Becker. (2026, February 13). Hand Tool Injury Statistics. Gitnux. https://gitnux.org/hand-tool-injury-statistics
Karl Becker. "Hand Tool Injury Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/hand-tool-injury-statistics.
Karl Becker. 2026. "Hand Tool Injury Statistics." Gitnux. https://gitnux.org/hand-tool-injury-statistics.
References
- 1cdc.gov/mmwr/volumes/73/wr/mm7307a1.htm
- 9cdc.gov/niosh/docs/99-112/default.html
- 10cdc.gov/niosh/topics/handarmvibration/
- 11cdc.gov/niosh/topics/repetitive/
- 12cdc.gov/niosh/docs/2001-101/
- 15cdc.gov/niosh/topics/handtools/
- 17cdc.gov/niosh/topics/trauma/
- 18cdc.gov/traumaticbraininjury/
- 24cdc.gov/arthritis/data_statistics/arthritis-related-questions.html
- 27cdc.gov/niosh/topics/injury/
- 28cdc.gov/niosh/topics/ergonomics/default.html
- 29cdc.gov/niosh/workplace-solutions/
- 33cdc.gov/niosh/topics/falls/
- 2bls.gov/iif/oshwc/osh/os/soii/di1.htm
- 14bls.gov/iif/oshwc/cfoi/cfch0016.htm
- 3cpsc.gov/s3fs-public/NEISS%20in%20brief.pdf
- 13cpsc.gov/Research--Statistics/Injury- and-Death-Estimates/Tool-Injuries
- 30cpsc.gov/safety-education/safety-guides/power-tools-and-masonry-equipment
- 4osha.gov/safety-management/signs/hand-safety
- 5osha.gov/hand-safety
- 6osha.gov/sites/default/files/publications/osha3151.pdf
- 7osha.gov/hand-portable-power-tool-safety
- 8osha.gov/hand-arm-vibration
- 16osha.gov/lacerations
- 25osha.gov/personal-protective-equipment
- 26osha.gov/chemical-hazards/ppe
- 34osha.gov/training
- 35osha.gov/maintenance
- 19canada.ca/en/public-health/services/injury-prevention.html
- 20ec.europa.eu/eurostat/statistics-explained/index.php?title=Accidents_at_work_-_statistics
- 21ilo.org/safework/areas/hand-safety/lang--en/index.htm
- 22crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813409
- 23injuryfacts.nsc.org/work/cause-of-injury/hand-safety/
- 31injuryfacts.nsc.org/work/overview/
- 32injuryfacts.nsc.org/work/overview/work-related-costs/
- 36ccohs.ca/oshanswers/safety_haz/hazards_handtools.html






