Key Takeaways
- 17.1% of correctional officers reported high levels of psychological distress
- 30.0% of correctional officers reported “significant” depression symptoms in one study
- 28.9% of correctional officers met criteria for PTSD symptoms in one study sample
- 62% of correctional officers reported workplace stressors related to safety and security concerns
- 30% of correctional officers reported exposure to a violent incident at work (survey)
- 50% of correctional officers reported that staffing levels were inadequate (survey)
- 46% of correctional officer respondents reported they would avoid seeking mental health care due to stigma (survey)
- 28% reported concerns that seeking therapy could harm their career (survey)
- 33% reported fear of negative consequences from supervisors for mental health treatment (survey)
- 26.0% of corrections officers who died by suicide had a known history of mental health treatment (autopsy/records study)
- 30% higher suicide rate among correctional employees compared with general workforce (rate comparison)
- 65% of correctional worker suicide deaths were male (NVDRS analysis)
- 8.3% of incarcerated adults reported being depressed (mental health prevalence among incarcerated)
- 24.7% of state prisoners with mental illness reported receiving no treatment in the year prior to interview (BJS)
- 49% of jails reported having a suicide prevention program (survey)
Nearly half of correctional officers report burnout and high psychological distress, with many also facing poor sleep.
Prevalence of mental distress and symptoms
Prevalence of mental distress and symptoms Interpretation
Workplace risk factors and exposures
Workplace risk factors and exposures Interpretation
Help-seeking, stigma, barriers, and access
Help-seeking, stigma, barriers, and access Interpretation
Suicide, self-harm, and fatal outcomes
Suicide, self-harm, and fatal outcomes Interpretation
Institutional/organizational and policy context
Institutional/organizational and policy context 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.
Timothy Grant. (2026, February 13). Correctional Officer Mental Health Statistics. Gitnux. https://gitnux.org/correctional-officer-mental-health-statistics
Timothy Grant. "Correctional Officer Mental Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/correctional-officer-mental-health-statistics.
Timothy Grant. 2026. "Correctional Officer Mental Health Statistics." Gitnux. https://gitnux.org/correctional-officer-mental-health-statistics.
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