Key Takeaways
- Adult state prisoners 83% rearrested within 9 years per 2005 BJS 34-state study
- Adults released on parole have 52% return rate within 3 years nationally
- 68% of adults under community supervision violate terms within 3 years
- UK prisoners released 2010 had 46.3% reconvicted within 1 year
- Australia national prisoners 2016-17 59.4% returned to prison within 2 years
- Canada federal offenders 2013-14 38% readmitted within 2 years
- Juvenile offenders in Florida 2010-2014 had 66% rearrested within 1 year post-release
- National juvenile rearrest rate within 12 months is 55% for delinquents
- 66% of juvenile offenders released from residential facilities rearrested within 12 months per OJJDP
- History of prior convictions increases recidivism odds by 2.5 times
- Substance use disorder raises recidivism risk by 50%
- Antisocial personality disorder predicts 40% higher recidivism
- Federal offenders released in 2005 had 51.2% rearrested within 8 years
- Federal violent offenders 2005 release had 68.7% rearrest rate within 8 years
- Federal drug traffickers released 2005 showed 66.7% rearrested in 8 years
Across studies, most released adults and juveniles are rearrested within years, with higher rates for substance abuse, young age, and high risk histories.
Adult Recidivism General
Adult Recidivism General Interpretation
International Recidivism
International Recidivism Interpretation
Juvenile Recidivism
Juvenile Recidivism Interpretation
Risk Factors Predictors
Risk Factors Predictors Interpretation
US Federal Recidivism
US Federal Recidivism Interpretation
US State Recidivism Rates
US State Recidivism Rates 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.
Margot Villeneuve. (2026, February 13). Repeat Offenders Statistics. Gitnux. https://gitnux.org/repeat-offenders-statistics
Margot Villeneuve. "Repeat Offenders Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/repeat-offenders-statistics.
Margot Villeneuve. 2026. "Repeat Offenders Statistics." Gitnux. https://gitnux.org/repeat-offenders-statistics.
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