Key Takeaways
- U.S. spent $182 billion on corrections, policing, courts in 2022
- State corrections spending averaged $64 billion annually from 2015-2020
- Federal Bureau of Prisons budget was $8.1 billion in FY2023
- In 2021, the United States had a total incarcerated population of 1,767,200 individuals in prisons and jails
- Black Americans are incarcerated at nearly 5 times the rate of white Americans as of 2020, with a rate of 1,186 per 100,000 versus 244 per 100,000
- The U.S. female incarceration rate reached 65 per 100,000 in 2022, up from previous decades
- CoreCivic revenue from prisons: $1.8 billion in 2022
- GEO Group operated 99 facilities housing 80,000 beds in 2022
- Private prisons held 8% of state prisoners and 28% federal in 2021
- Recidivism rate for state prisoners: 83% rearrested within 9 years per 2018 BJS study
- 68% of released drug offenders rearrested within 3 years 2020
- Employment post-release: only 55% employed 1 year after in 2018
- Prison staff turnover rate 40% annually in 2022
- 42% of facilities reported understaffing in 2021 BJS survey
- Average correctional officer salary $48,300 in 2022 BLS data
In 2022, U.S. corrections, policing, and courts cost $182 billion, with rising incarceration and health pressures.
Related reading
Financial Costs and Budgets
Financial Costs and Budgets Interpretation
Incarceration Rates and Population
Incarceration Rates and Population Interpretation
Private Prison Industry
Private Prison Industry Interpretation
More related reading
Recidivism and Reentry
Recidivism and Reentry Interpretation
Staffing, Conditions, and Operations
Staffing, Conditions, and Operations 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.
Aisha Okonkwo. (2026, February 13). Corrections Industry Statistics. Gitnux. https://gitnux.org/corrections-industry-statistics
Aisha Okonkwo. "Corrections Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/corrections-industry-statistics.
Aisha Okonkwo. 2026. "Corrections Industry Statistics." Gitnux. https://gitnux.org/corrections-industry-statistics.
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