Key Takeaways
- 47% of bisexual individuals reported experiencing employment discrimination compared to 28% of gay/lesbian individuals
- 62% of bisexual employees hide their orientation at work due to fear of biphobic discrimination
- Bisexual workers are 1.5 times more likely to be passed over for promotions due to perceived promiscuity stereotypes
- 39% of bisexual patients report healthcare providers dismissing their bisexuality as a phase, leading to inadequate STD screening
- Bisexual women are 2.4 times more likely to be denied mental health referrals due to biphobic assumptions
- 61% of bi+ individuals experienced biphobia from doctors, affecting treatment adherence
- 63% of bisexuals report higher suicide ideation linked to healthcare rejection
- Bi women have 2.6x depression rates compared to heterosexual women due to biphobia
- 71% of bi+ youth experience anxiety from bi invisibility and discrimination
- 58% of bisexuals shunned by family leading to homelessness violence
- Only 25% of media representations of bisexuals are non-stereotypical
- 70% of bisexuals report family rejection upon coming out as bi
- 53% of bisexuals face 28% of bi+ individuals physically assaulted due to perceived promiscuity
- Bisexual women 3.2x more likely to experience intimate partner violence than straight women
- 45% report street harassment specifically targeting bi identity
Nearly half of bisexual people face employment discrimination, and many hide their identity to avoid biphobia.
Employment Discrimination
Employment Discrimination Interpretation
Healthcare Discrimination
Healthcare Discrimination Interpretation
Mental Health Statistics
Mental Health Statistics Interpretation
Violence and Harassment
Violence and Harassment 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.
David Kowalski. (2026, February 13). Bisexual Discrimination Statistics. Gitnux. https://gitnux.org/bisexual-discrimination-statistics
David Kowalski. "Bisexual Discrimination Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/bisexual-discrimination-statistics.
David Kowalski. 2026. "Bisexual Discrimination Statistics." Gitnux. https://gitnux.org/bisexual-discrimination-statistics.
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