Key Takeaways
- 7.2% of U.S. adults identify as LGBTQ+ in 2023
- 19.7% of Gen Z adults identify as LGBTQ+ in 2023
- 11.3% of Millennials identify as LGBTQ+ in 2023
- 20.8% of Gen Z women identify as LGBT
- 10.6% of Gen Z men identify as LGBT
- Bisexual identification higher among women (11.4%) than men (2.0%)
- 28% higher depression rates among LGB adults
- LGB youth 4x more likely to attempt suicide
- 40% of transgender adults attempted suicide
- 72% of Americans support same-sex marriage in 2023
- 61% support nondiscrimination laws for LGBT
- 71% say homosexuality should be accepted
- Support for gay marriage rose from 27% in 1996 to 70% 2021
- LGBT identification doubled from 3.5% in 2012 to 7.1% in 2022
- Bisexual identification tripled since 2012
LGBTQ+ identification continues to rise among younger adults, with Gen Z now approaching nearly one in five people.
Attitudes
Attitudes Interpretation
Demographics
Demographics Interpretation
Health
Health Interpretation
Prevalence
Prevalence Interpretation
Trends
Trends 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.
Ryan Townsend. (2026, February 13). Sexual Orientation Statistics. Gitnux. https://gitnux.org/sexual-orientation-statistics
Ryan Townsend. "Sexual Orientation Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/sexual-orientation-statistics.
Ryan Townsend. 2026. "Sexual Orientation Statistics." Gitnux. https://gitnux.org/sexual-orientation-statistics.
Sources & References
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- Reference 22LGBTMAPlgbtmap.org
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