Key Takeaways
- The average age of cybersecurity professionals is 44 years old globally in 2023
- 25% of cybersecurity workforce is under 30 years old in US 2022
- Over 50% of cyber pros are aged 45+ in Europe per 2023 data
- Persons with disabilities represent 4% of the cybersecurity workforce in the US 2023
- LGBTQ+ individuals make up 7% of cybersecurity professionals globally per 2022 survey
- 12% of cyber workforce has visible disabilities in UK 2023 data
- Women comprise 24% of the global cybersecurity workforce in 2023
- In the US, women make up 22% of the cybersecurity professionals as of 2022
- Female representation in cybersecurity leadership roles is only 10% globally in 2023
- Women CISOs number 15% in top firms 2023 up from 10% 2020
- Retention rate for diverse cyber teams 92% vs 85% homogeneous 2023 Gartner
- 20% of cybersecurity board seats held by women globally 2023
- Black or African American professionals make up 7% of the US cybersecurity workforce in 2023
- Hispanic or Latino representation in cybersecurity is 8% in the US per 2022 data
- Asian professionals constitute 38% of US cybersecurity roles in 2023
Cybersecurity remains older and unevenly diverse, with underrepresented groups and roles often not filling pipeline gaps.
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- Education LearningCybersecurity Education Statistics
Age Diversity
Age Diversity Interpretation
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Disability/LGBTQ+ Diversity
Disability/LGBTQ+ Diversity Interpretation
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Gender Diversity
Gender Diversity Interpretation
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Leadership/Retention Diversity
Leadership/Retention Diversity Interpretation
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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.
Kevin O'Brien. (2026, February 13). Cybersecurity Diversity Statistics. Gitnux. https://gitnux.org/cybersecurity-diversity-statistics
Kevin O'Brien. "Cybersecurity Diversity Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/cybersecurity-diversity-statistics.
Kevin O'Brien. 2026. "Cybersecurity Diversity Statistics." Gitnux. https://gitnux.org/cybersecurity-diversity-statistics.
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