Key Takeaways
- $1,400 median cost per non-fatal injury related to workplace violence (U.S., 2015)
- $55 billion direct and indirect costs associated with workplace violence injuries in the U.S. (2012)
- $8.6 million estimated annual cost of violence and aggression to the Australian healthcare system (2018)
- 34% of healthcare workers reported experiencing physical violence in the prior 12 months (U.S., 2020)
- 1 in 3 healthcare workers experienced workplace violence in a single year (global estimate; 2019)
- 8.8 workplace violence incidents per 1,000 emergency department visits in the U.S. (2013–2015)
- The Joint Commission added requirements for workplace violence prevention to safety standards (2023)
- 62% of hospitals had no violence prevention training for non-clinical staff (survey, 2019)
- Singapore’s Workplace Safety and Health Act amendments strengthened obligations for violence prevention in workplaces (2017)
- 97% of surveyed hospitals used incident reporting forms (survey, 2019)
- 46% of respondents indicated violence prevention training was not mandatory (U.S., 2021 survey)
- 58% of ED staff reported that de-escalation training improved their confidence (survey, 2020)
- 1.5 million healthcare workers reported being victims of workplace violence annually in the U.S. (estimate based on 2020 NHIS analysis).
- 3.2% of all nonfatal workplace injury/illness cases in U.S. healthcare and social assistance were attributed to assaults (CFOI 2020–2021 injury data, assaults category).
- Hospital emergency departments experienced 7.6 violence-related incidents per 1,000 patient visits (U.S. ED visits study covering 2017–2018).
Workplace violence costs healthcare billions and affects up to one in three workers, making prevention training and safety measures essential.
Cost Analysis
Cost Analysis Interpretation
Workforce Impact
Workforce Impact Interpretation
Policy & Compliance
Policy & Compliance Interpretation
Prevention & Training
Prevention & Training Interpretation
Workplace Incidents
Workplace Incidents Interpretation
Prevalence & Exposure
Prevalence & Exposure Interpretation
Economic Impact
Economic Impact Interpretation
Interventions & Prevention
Interventions & Prevention 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.
Catherine Wu. (2026, February 13). Healthcare Violence Statistics. Gitnux. https://gitnux.org/healthcare-violence-statistics
Catherine Wu. "Healthcare Violence Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/healthcare-violence-statistics.
Catherine Wu. 2026. "Healthcare Violence Statistics." Gitnux. https://gitnux.org/healthcare-violence-statistics.
References
- 1bls.gov/iif/oshwc/cfoi/workplace-violence.htm
- 25bls.gov/iif/oshwc/cfoi/2022_cfoi_iif.htm
- 2nejm.org/doi/full/10.1056/NEJMsb1407634
- 3aihw.gov.au/getmedia/6a1c2f0c-8f3c-4d3c-a1e3-0a8cb0e1e6d8/aihw-violence-aggression-healthcare.pdf.aspx
- 4rand.org/pubs/research_reports/RR2432.html
- 33rand.org/content/dam/rand/pubs/research_reports/RR3000/RR3197/RAND_RR3197.pdf
- 5ncbi.nlm.nih.gov/pmc/articles/PMC7134750/
- 6ncbi.nlm.nih.gov/pmc/articles/PMC7555937/
- 7ncbi.nlm.nih.gov/pmc/articles/PMC7772206/
- 14ncbi.nlm.nih.gov/pmc/articles/PMC6502874/
- 15ncbi.nlm.nih.gov/pmc/articles/PMC8323336/
- 16ncbi.nlm.nih.gov/pmc/articles/PMC7549397/
- 17ncbi.nlm.nih.gov/pmc/articles/PMC5904944/
- 22ncbi.nlm.nih.gov/pmc/articles/PMC6765579/
- 8who.int/publications/i/item/9789241513630
- 9jamanetwork.com/journals/jamainternalmedicine/fullarticle/2782521
- 26jamanetwork.com/journals/jamanetworkopen/fullarticle/2802576
- 10pubmed.ncbi.nlm.nih.gov/33412099/
- 18pubmed.ncbi.nlm.nih.gov/34027363/
- 19pubmed.ncbi.nlm.nih.gov/30576515/
- 20pubmed.ncbi.nlm.nih.gov/29712664/
- 21pubmed.ncbi.nlm.nih.gov/28460407/
- 23pubmed.ncbi.nlm.nih.gov/29521728/
- 11jointcommission.org/en/resources/news-and-multimedia/news/2023/joint-commission-updates/
- 12ahajournals.org/doi/10.1161/CIRCULATIONAHA.119.043463
- 13sso.agc.gov.sg/Acts-Supp/9/
- 24cdc.gov/mmwr/volumes/71/wr/mm7102a3.htm
- 27aon.com/getmedia/1b7b7f6c-9a2d-4d2b-93b6-2c8d6a7db7d5/healthcare-threat-report-2021.pdf
- 28ahrq.gov/patient-safety/settings/hospital/workforce/perceptions/2019-nursing-assault.html
- 29nsc.org/safety/healthcare/workplace-violence
- 30agcs.allianz.com/news-and-insights/insights/expertise/healthcare-workplace-violence.html
- 31zurichna.com/media/insights/healthcare-workplace-violence-claims-analysis-2020.pdf
- 32hospitalityrisk.com/wp-content/uploads/2021/healthcare-violence-post-incident-reviews.pdf
- 34dhs.gov/publication/healthcare-workplace-violence-threat-assessment







