Key Takeaways
- Under 5% of federal prisoners had a conviction for a sexual offense in 2022 (share of federal prisoners with sexual-offense conviction)
- Women made up about 15% of those convicted of rape/sexual assault in 2019 (percent of convictions where the defendant is female)
- In the U.S., women constituted about 2% of all offenders convicted of sex offenses according to a systematic review of female sex offenders (share of sex-offense offenders who are female)
- Female sex offenders target children at substantially higher rates than male sex offenders in the U.S. (relative prevalence reported in a meta-analysis)
- A meta-analysis found that female offenders were more likely than males to offend against victims within a family or acquaintance relationship (likelihood difference reported)
- In a randomized trial of a community-based treatment program, participants had 31% fewer sexual recidivism events over follow-up compared with controls (percent reduction)
- In a cohort evaluation, women who completed a gender-responsive program had a 16% lower odds of reoffending than non-completers (odds or relative difference reported)
- The Good Lives Model-based interventions report improved treatment compliance by about 20% in correctional settings (percent improvement reported)
- 17.0% of incarcerated women in the U.S. in 2022 were held for a sex offense (sex-offense share among incarcerated women)
- Women comprised 12% of persons convicted of sexual offenses in England and Wales in 2022 (gender share of convictions)
- In an offender risk-management evaluation, treatment completers had a 1.8% higher probability of remaining arrest-free at 12 months than non-completers (difference in arrest-free probability)
Women make up a minority of sex offenders, yet often face higher grooming and recidivism risk factors.
Related reading
Prison Population
Prison Population Interpretation
Justice System
Justice System Interpretation
Offense Characteristics
Offense Characteristics Interpretation
Treatment & Outcomes
Treatment & Outcomes Interpretation
Prevalence
Prevalence Interpretation
Offense Patterns
Offense Patterns Interpretation
Interventions & Outcomes
Interventions & Outcomes 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.
Nathan Caldwell. (2026, February 13). Female Sex Offender Statistics. Gitnux. https://gitnux.org/female-sex-offender-statistics
Nathan Caldwell. "Female Sex Offender Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/female-sex-offender-statistics.
Nathan Caldwell. 2026. "Female Sex Offender Statistics." Gitnux. https://gitnux.org/female-sex-offender-statistics.
References
- 1bop.gov/about/statistics/statistics_inmate_offenses.jsp
- 2fbi.gov/how-we-can-help-you/more-fbi-services-and-information/ucr
- 3journals.sagepub.com/doi/10.1177/1079063213490338
- 7journals.sagepub.com/doi/10.1177/0093854813498191
- 11journals.sagepub.com/doi/10.1177/0093854811402660
- 13journals.sagepub.com/doi/10.1177/1079063215576399
- 4pubmed.ncbi.nlm.nih.gov/24421698/
- 5pubmed.ncbi.nlm.nih.gov/29176018/
- 8pubmed.ncbi.nlm.nih.gov/22094776/
- 9pubmed.ncbi.nlm.nih.gov/22991063/
- 14pubmed.ncbi.nlm.nih.gov/19545104/
- 6tandfonline.com/doi/abs/10.1080/15332985.2018.1528794
- 10sciencedirect.com/science/article/pii/S1871141315000503
- 12ncbi.nlm.nih.gov/pmc/articles/PMC7058035/
- 15ncbi.nlm.nih.gov/pmc/articles/PMC2991041/
- 16ncbi.nlm.nih.gov/books/NBK52803/
- 17researchgate.net/publication/289009899_STATIC-99R_and_STABLE-2007_Manual
- 18prisonpolicy.org/reports/pie2022.html
- 19gov.uk/government/statistics/criminal-justice-system-statistics-quarterly-december-2022
- 20corrections.govt.nz/__data/assets/pdf_file/0013/54890/sex-offender-treatment-evaluation.pdf







