Key Takeaways
- 89% of victims experience severe anxiety
- 47% report suicidal ideation post-victimization
- 60% suffer PTSD symptoms equivalent to rape victims
- 45 states in US have revenge porn laws as of 2023
- UK Revenge Porn law led to 265 convictions in first 3 years
- EU: 27 member states have specific laws by 2022
- 50% of cases involve current or former intimate partners
- 80% of perpetrators are known to the victim
- Men aged 18-34 comprise 70% of identified perpetrators
- In the United States, 1 in 10 adults have been victims of nonconsensual pornography
- Globally, revenge porn affects approximately 1 in 25 internet users according to a 2019 study
- 47% of US internet users have experienced some form of online harassment including image-based abuse
- 82% of revenge porn victims are women
- 51% of victims are aged 18-25
- LGBTQ+ individuals 2x more likely to be targeted (16% vs 7%)
Revenge porn devastates victims, triggering severe mental health harm, harassment, and long lasting relationship and financial damage.
Impacts
Impacts Interpretation
Legal
Legal Interpretation
Perpetrators
Perpetrators Interpretation
Prevalence
Prevalence Interpretation
Victims
Victims 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.
Min-ji Park. (2026, February 13). Revenge Porn Statistics. Gitnux. https://gitnux.org/revenge-porn-statistics
Min-ji Park. "Revenge Porn Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/revenge-porn-statistics.
Min-ji Park. 2026. "Revenge Porn Statistics." Gitnux. https://gitnux.org/revenge-porn-statistics.
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