Key Takeaways
- In 2014, women made up 14% of all people serving time in state prisons for a “violent” offense
- In 2014, women made up 16% of all people serving time in state prisons for a “property” offense
- In 2014, women made up 17% of all people serving time in state prisons for a “public-order” offense
- In the U.S. 2019, women constituted 30% of arrests for forcible rape according to NIBRS
- In the U.S. 2019, women constituted 24% of arrests for robbery according to NIBRS
- In the U.S. 2019, women constituted 18% of arrests for aggravated assault according to NIBRS
- In 2016, women were 45% of defendants convicted for prostitution offenses in selected jurisdictions
- In 2017, female offenders accounted for 29% of defendants convicted of fraud offenses in selected jurisdictions
- In 2017, female offenders accounted for 22% of defendants convicted of assault offenses in selected jurisdictions
- In 2014, women constituted 33% of adult probationers in the Netherlands
- In 2014, women constituted 25% of adult prison population in the Netherlands
- In 2015, female prisoners were 5% of the prison population in England and Wales
- In U.S. BJS Survey of Female Prisoners (2014), 51% of women reported being abused as children
- In BJS Survey of Female Prisoners (2014), 68% of women reported at least one prior mental health problem
- In BJS Survey of Female Prisoners (2014), 63% of women reported a history of substance abuse
Women form a minority in prisons, yet offenses span violent, property, drugs.
Incarceration and sentencing
Incarceration and sentencing Interpretation
Arrests and charges
Arrests and charges Interpretation
Courts and case processing
Courts and case processing Interpretation
International and comparative
International and comparative Interpretation
Risk factors and victimization
Risk factors and victimization Interpretation
Offense patterns and types
Offense patterns and types 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.
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
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