Key Takeaways
- In 2023, women represented only 26% of the professional computing workforce in the US IT industry.
- Globally, female participation in tech roles stands at 25% as per 2022 data.
- In Silicon Valley tech firms, women hold 30% of technical positions in 2023.
- In 2023, Black or African American workers comprised 7.4% of the high-tech workforce in the US.
- Hispanics/Latinos make up 9% of IT professionals in US, BLS 2023.
- Asian Americans are 40% of tech workforce but 6% of executives, 2023.
- LGBTQ+ individuals represent 5.6% of the US tech workforce, per 2023 McKinsey survey.
- 21% of Gen Z tech workers identify as LGBTQ+, Deloitte 2023.
- Openly gay executives in Fortune 500 tech: 1%, Out Leadership 2023.
- 11% of disabled adults are employed in IT compared to 20% non-disabled, US 2023.
- Tech accessibility compliance: 40% of sites fail WCAG, 2023 WebAIM.
- Autistic individuals in tech: 1%, but 16% desire tech careers, 2023.
- In 2023, the pay gap for women in tech is 6% after controlling for role.
- Black tech workers promoted 20% slower than white peers, McKinsey 2023.
- Employee resource groups in tech: 85% of companies, 2023 Deloitte.
The tech industry shows persistent gaps in diversity and inclusion despite widespread DEI initiatives.
Disability Inclusion
Disability Inclusion Interpretation
Equity and Retention
Equity and Retention Interpretation
Gender Diversity
Gender Diversity Interpretation
LGBTQ+ Representation
LGBTQ+ Representation Interpretation
Racial and Ethnic Diversity
Racial and 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.
Thomas Lindqvist. (2026, February 13). Diversity Equity And Inclusion In The Information Technology Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-information-technology-industry-statistics
Thomas Lindqvist. "Diversity Equity And Inclusion In The Information Technology Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-information-technology-industry-statistics.
Thomas Lindqvist. 2026. "Diversity Equity And Inclusion In The Information Technology Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-information-technology-industry-statistics.
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