Key Takeaways
- People with disabilities represent 12% of US tech applicants but 4% hires 2023 DOL
- Autistic individuals in tech: 1% diagnosed workforce 2023 Specialisterne
- Blind/low vision devs: 0.8% using screen readers in tech 2023 AbilityNet
- In 2023, women held only 28% of tech jobs in the US, compared to 47% of the overall workforce
- Globally, women make up 26% of the AI workforce according to a 2023 Stanford study
- In Silicon Valley, women comprise 33% of tech employees at top companies as of 2022
- LGBTQ+ individuals comprise 11% of US tech workforce per 2023 LinkedIn data
- Openly gay men in tech exec roles: 4% vs 2% pop 2022 Out Leadership
- Transgender representation in tech: 0.6% workforce 2023 Human Rights Campaign
- Women in tech leadership roles: 17% of C-suite in 2023 McKinsey Women in the Workplace
- Black executives in Big Tech: 2.1% of VPs in 2023 company reports aggregate
- Women CEOs in Fortune 500 tech firms: 5% in 2023
- Black workers comprise 7.4% of tech professionals in the US as of 2022 EEOC data
- Hispanics/Latinos hold 9% of tech jobs despite 18% US population in 2023 BLS
- Asian Americans are 40% of Silicon Valley tech workforce but 6% US pop per 2022 Joint Venture
Tech remains far less inclusive than self identification suggests, with disabled and underrepresented groups hiring gaps.
Related reading
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The High Tech Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Information Technology Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Life Sciences Industry Statistics
- Diversity Equity And Inclusion In IndustryDiverse Workplace Statistics
Disability Diversity
Disability Diversity Interpretation
More related reading
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Big Data Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Medical Device Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Ict Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Electronics Industry Statistics
Gender Diversity
Gender Diversity Interpretation
More related reading
- Diversity Equity And Inclusion In IndustryDiversity In The Biotech Industry Statistics
- Diversity Equity And Inclusion In IndustryWomen In Technology Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Gaming Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Tmt Industry Statistics
LGBTQ+ Diversity
LGBTQ+ Diversity Interpretation
More related reading
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Crypto Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Robotics Industry Statistics
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- Diversity Equity And Inclusion In IndustryGoogle Diversity Statistics
Leadership Diversity
Leadership Diversity Interpretation
More related reading
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Game Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Automation Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Cybersecurity Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Car Industry Statistics
Racial/Ethnic Diversity
Racial/Ethnic Diversity 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). Diversity In Tech Statistics. Gitnux. https://gitnux.org/diversity-in-tech-statistics
Lukas Bauer. "Diversity In Tech Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-in-tech-statistics.
Lukas Bauer. 2026. "Diversity In Tech Statistics." Gitnux. https://gitnux.org/diversity-in-tech-statistics.
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