Key Takeaways
- 1,940,000 rape/sexual assault victimizations in the 12 months ending 2023 (estimated)
- 7% of students reported being forced to have sex in the past year
- 7% of women and 1% of men experienced rape or attempted rape in the past 12 months
- 1.6 million victimizations reported to police per year (estimated number, 2010s)
- 14% of non-reporting victims cited belief that police would not take action (survey estimate)
- 12,000+ sexual assault nurse examiner (SANE) programs and affiliated training sites supported nationally (number of programs supported, 2022)
- 56% of hospitals in a national sample reported having a Sexual Assault Nurse Examiner program (study estimate)
- 21,000+ victim advocates supported via federal grants (count, 2023)
- 72% of rape/sexual assault survivors experience at least one mental health impact (review estimate)
- 12% increased risk of PTSD among rape/sexual assault survivors compared with those without assault exposure (meta-analysis estimate)
- 35% of survivors report depressive symptoms following sexual assault (systematic review estimate)
- 56% of sexual assault victimizations had a female offender (2017–2021 NEISS-IPS analysis of emergency department assaults; offender sex distribution estimate)
- 7.3% of high school students reported being physically forced to have sexual intercourse (2019 YRBS estimate)
- 63% of rape/sexual assault cases reported to law enforcement involved victims ages 12–34 (2015–2020 national incident analysis estimate)
- 43% of rape cases filed in the U.S. are dismissed or result in no conviction (case outcome analysis estimate; 2014–2016 administrative outcomes)
Millions of Americans experience rape and sexual assault each year, yet most cases are not reported or lead to convictions.
Related reading
Prevalence & Incidence
Prevalence & Incidence Interpretation
Reporting & Detection
Reporting & Detection Interpretation
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Policy & Services
Policy & Services Interpretation
Health & Justice Outcomes
Health & Justice Outcomes Interpretation
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Prevalence
Prevalence Interpretation
Reporting & Justice System
Reporting & Justice System Interpretation
More related reading
Economic & Health Impacts
Economic & Health Impacts Interpretation
Programs & Interventions
Programs & Interventions Interpretation
More related reading
Operational & Technology
Operational & Technology 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.
Lukas Bauer. (2026, February 13). U.S. Rape Statistics. Gitnux. https://gitnux.org/u-s-rape-statistics
Lukas Bauer. "U.S. Rape Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/u-s-rape-statistics.
Lukas Bauer. 2026. "U.S. Rape Statistics." Gitnux. https://gitnux.org/u-s-rape-statistics.
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