Key Takeaways
- Employees over 50 comprised 12.3% of new hires in tech in 2023.
- Gen Z hires (under 25) made up 28.4% of retail workforce additions 2022.
- Millennials (25-40) accounted for 45.2% of corporate promotions 2023.
- People with disabilities represented 7.2% of new hires in Fortune 500 in 2023.
- Disability hiring in tech reached 5.8% for software roles 2022.
- 4.1% of federal hires had visible disabilities in 2023.
- In 2023, women held 28.1% of executive positions in Fortune 500 companies, up from 25.4% in 2020.
- Female representation in tech hiring reached 26.7% for entry-level roles in Silicon Valley firms in 2022.
- Women accounted for 33% of promotions to manager positions across U.S. corporations in 2023.
- LGBTQ+ hires reached 7.6% in tech companies in 2023.
- Transgender hires increased to 1.2% in corporate America 2022.
- Gay men represented 4.3% of new finance hires 2023.
- In 2023, Black employees represented 13.4% of new corporate hires in the U.S.
- Hispanic/Latino hires increased to 18.2% in tech sector entry-level positions in 2023.
- Asian Americans accounted for 22.1% of professional hires in finance in 2022.
Diversity gains in hiring span age, disability, gender, LGBTQ plus, and race, with strong representation growth in 2023.
Related reading
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Information Industry Statistics
- 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 Car Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Financial Industry Statistics
Age
Age Interpretation
More related reading
Disability
Disability Interpretation
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- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Electronics Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Movie Industry Statistics
- Employment WorkforceBlind Hiring Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Automation Industry Statistics
Gender
Gender Interpretation
More related reading
- HR In IndustryTop 10 Best Diversity Management Software of 2026
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Supplement Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Staffing Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Medical Industry Statistics
LGBTQ+
LGBTQ+ Interpretation
More related reading
- 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 Automobile Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Art Industry Statistics
- Diversity Equity And Inclusion In IndustryDiversity Equity And Inclusion In The Airline Industry Statistics
Racial/Ethnic
Racial/Ethnic 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.
Kevin O'Brien. (2026, February 13). Diversity Hiring Statistics. Gitnux. https://gitnux.org/diversity-hiring-statistics
Kevin O'Brien. "Diversity Hiring Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-hiring-statistics.
Kevin O'Brien. 2026. "Diversity Hiring Statistics." Gitnux. https://gitnux.org/diversity-hiring-statistics.
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