Key Takeaways
- 19% of dispatchers reported that mental health resources are not offered during work hours (2020 study)
- 21% of first responders reported that previous negative experiences with mental health care deterred them (2019 survey)
- 3.1x higher odds of mental health help-seeking among those who had received prior training on mental health resources (odds ratio from a 2019 study)
- 39% of first responder organizations reported offering resilience training (2019 survey)
- 42% of surveyed employers reported mental health costs increasing in the last year (2021 workforce mental health survey)
- 28% of law enforcement agencies reported formal critical incident stress debriefing programs (2018 survey)
- 2.5x increase in likelihood of burnout among firefighters with high overtime exposure (reported 2020 study)
- 1.9x increase in likelihood of depressive symptoms among EMS workers with high workload (reported 2021 study)
- 17% of first responders reported being written up or disciplined after a mental health issue in a 2018–2020 survey
- $2.1 billion estimated annual productivity losses due to mental health conditions among first responders (2019 RAND analysis)
- $150 million in annual healthcare and disability costs tied to depression/anxiety among EMTs and paramedics (2017 estimate in report)
- $8.7 billion total economic burden of PTSD in the U.S. in 2015 (baseline for impact modeling)
- 74% of first responders reported experiencing at least one mental health symptom in the past year (systematic review finding across studies)
- A meta-analysis estimated that 10% of police officers screened positive for post-traumatic stress disorder (PTSD) symptoms
- A meta-analysis estimated a 12% prevalence of depression among police personnel
A major share of first responders face barriers to care, contributing to high mental health costs and burnout risks.
Related reading
Barriers
Barriers Interpretation
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Industry Trends
Industry Trends Interpretation
Workforce Impact
Workforce Impact Interpretation
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Cost Analysis
Cost Analysis Interpretation
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Prevalence & Risk
Prevalence & Risk Interpretation
Workforce Outcomes
Workforce Outcomes Interpretation
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Service Utilization
Service Utilization 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.
Marie Larsen. (2026, February 13). First Responders Mental Health Statistics. Gitnux. https://gitnux.org/first-responders-mental-health-statistics
Marie Larsen. "First Responders Mental Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/first-responders-mental-health-statistics.
Marie Larsen. 2026. "First Responders Mental Health Statistics." Gitnux. https://gitnux.org/first-responders-mental-health-statistics.
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