Key Takeaways
- In 2022, there were approximately 433,470 correctional officers and jailers employed in the United States
- As of 2021, 78% of correctional officers in state prisons were male
- The median age of correctional officers in federal prisons was 44 years in 2020
- Duties include supervising inmate movement in 95% of shifts
- Conducting pat-down searches performed 10-20 times per shift average
- Meal service oversight is responsibility in 80% of facilities daily
- The median annual wage for correctional officers was $49,610 in May 2022
- Top-paying state for correctional officers is California with median $78,840 in 2022
- Average hourly wage for jailers is $23.85 nationally in 2022
- All basic academy training for correctional officers is 200 hours minimum in most states
- 95% of states require high school diploma or GED for entry-level positions
- POST certification involves 640 hours of training in California for officers
- In 2021, correctional officers experienced 25.3 injuries per 100 full-time workers
- Assault rate on correctional officers was 34 per 1,000 workers in state prisons 2019
- 42% of injuries to officers are musculoskeletal disorders annually
Correctional officer demographics and pay vary widely, but most work is over 40 and wages top out in California.
Demographics and Employment
Demographics and Employment Interpretation
Job Duties and Responsibilities
Job Duties and Responsibilities Interpretation
Salary and Benefits
Salary and Benefits Interpretation
Training and Qualifications
Training and Qualifications Interpretation
Workplace Safety and Injuries
Workplace Safety and Injuries 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.
Diana Reeves. (2026, February 13). Corrections Officer Statistics. Gitnux. https://gitnux.org/corrections-officer-statistics
Diana Reeves. "Corrections Officer Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/corrections-officer-statistics.
Diana Reeves. 2026. "Corrections Officer Statistics." Gitnux. https://gitnux.org/corrections-officer-statistics.
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