Key Takeaways
- 2.3 million people estimated to be living with HIV in 2019 in the United States (UNAIDS estimate), illustrating the scale of the HIV epidemic context in which commercial sex risks can occur
- Up to 12% of clients of female sex workers reported buying sex while intoxicated with alcohol (global review; synthesized estimates)
- Around 1 in 10 people (10%) in a recent US community survey reported having been asked for money for sex by someone they knew (indicator of local sex-work contact)
- In 2022, 62% of men surveyed in a UK study reported having ever paid for sex (lifetime prevalence estimate)
- In 2022, 71% of trafficking victims identified in U.S. federal cases involved sex trafficking (U.S. DOJ data, FY2022)
- Syphilis prevalence among female sex workers reported at 2.9% in a global synthesis (systematic review meta-analysis, 2022)
- HPV prevalence among sex workers in a pooled analysis was 66.3% (meta-analysis, 2019)
- In Sweden, there were 1,125 prosecutions for purchase of sexual services in 2021 (Swedish National Council for Crime Prevention, BRÅ)
- In the United States, federal funding for trafficking victim services totaled $182 million in FY2022 (Office on Trafficking in Persons funding, HHS/DOJ allocations)
- In the global sex toy market, revenue reached $29.7 billion in 2023 (industry market research, published 2024)
- The adult services market (sex work adjacent) was estimated at $211.4 billion in 2023 (global estimates by industry analyst)
- The global pornography market size was $124.5 billion in 2022 (context for online adult marketplaces)
- In 2021, 77% of sex workers reported using social media or online platforms to advertise clients (observational study; 2021)
- In a 2020 observational study, 54% of sex workers reported being contacted by clients through messaging apps (study findings)
- In 2019, 38% of sex work client acquisition was reported as online-based advertising (survey data; 2019)
From HIV risk to online advertising, these statistics show how violence, policing, and health gaps shape sex work realities.
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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.
Priyanka Sharma. (2026, February 13). Us Prostitution Statistics. Gitnux. https://gitnux.org/us-prostitution-statistics
Priyanka Sharma. "Us Prostitution Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/us-prostitution-statistics.
Priyanka Sharma. 2026. "Us Prostitution Statistics." Gitnux. https://gitnux.org/us-prostitution-statistics.
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