Preventing Suicide in Jails: Examining Community, Facility, and Individual Differences

Suicide remains the leading cause of death in U.S. correctional facilities, underscoring the importance of identifying factors contributing to elevated risk. Drawing on national data on jail fatalities from 2011 to 2019, this study examines suicide risk across macro-level (community infrastructure), meso-level (facility characteristics), and micro-level (individual vulnerabilities) domains. Multivariate regression analyses indicate that, at the micro-level, being young, White, male, unconvicted, or serving a short length of stay increases suicide likelihood. Rural isolation is associated with higher suicide rates, whereas overcrowding is linked to lower rates. Interaction models further demonstrate that rural jails without overcrowding experience the highest suicide rates. Findings highlight the complex interplay among individual, facility, and community factors, pointing to the need for targeted, multi-level prevention efforts. Policy, practice, and research implications are discussed to inform evidence-based strategies for reducing suicide in correctional settings.

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Publication Details

Journal
Criminal Justice and Behavior
Published
2025-10-09
DOI
https://doi.org/10.1177/00938548251376919
Primary Topic
Criminal Justice and Corrections Analysis
Type
article
Field-Weighted Citation Impact
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article

Preventing Suicide in Jails: Examining Community, Facility, and Individual Differences

Victor St. John, Jason Szkola, Mijin Kim
Criminal Justice and Behavior
Criminal Justice and Corrections Analysis
article

Preventing Suicide in Jails: Examining Community, Facility, and Individual Differences

Victor St. John, Jason Szkola, Mijin Kim
article en

Abstract

Suicide remains the leading cause of death in U.S. correctional facilities, underscoring the importance of identifying factors contributing to elevated risk. Drawing on national data on jail fatalities from 2011 to 2019, this study examines suicide risk across macro-level (community infrastructure), meso-level (facility characteristics), and micro-level (individual vulnerabilities) domains. Multivariate regression analyses indicate that, at the micro-level, being young, White, male, unconvicted, or serving a short length of stay increases suicide likelihood. Rural isolation is associated with higher suicide rates, whereas overcrowding is linked to lower rates. Interaction models further demonstrate that rural jails without overcrowding experience the highest suicide rates. Findings highlight the complex interplay among individual, facility, and community factors, pointing to the need for targeted, multi-level prevention efforts. Policy, practice, and research implications are discussed to inform evidence-based strategies for reducing suicide in correctional settings.

Criminal Justice and BehaviorVol. 53(3)
Rowan University (US), Illinois State University (US), The Ohio State University (US)
Openalex Percentile: Top 63%
Criminal Justice and Corrections Analysis
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Preventing Suicide in Jails: Examining Community, Facility, and Individual Differences — Victor St. John, Jason Szkola, et al. · Criminal Justice and Behavior (2025) | TGRS Research Map | TGRS