Key Takeaways
- Gender pay gap for executives: Women earned 82 cents to men's dollar in C-suite 2022
- Black employees median pay: 18% less than white counterparts in med device 2023
- Hispanic workers compensation: 15% below average in engineering roles 2022
- 92% of med device companies have formal DEI training programs mandatory for all employees in 2023
- Employee resource groups (ERGs) active in 78% of large medtech firms, with 25% participation rate 2022
- Unconscious bias training reached 85% workforce in top 10 med device cos 2023
- Women CEOs in top 50 med device firms: 8% in 2023
- Board seats held by women: 25% average in public med device companies 2022
- Black executives (VP+): 3.1% in medtech 2023
- In 2022, women represented only 28% of the total workforce in the U.S. medical device industry, compared to 47% in the overall U.S. workforce
- Black or African American employees comprised 7.2% of the medical device workforce in 2021, down from 8.1% in 2019
- Hispanic or Latino workers made up 12.4% of the medical device sector employees in 2022
- Retention rates post-DEI interventions: 87% for diverse hires vs 79% baseline 2022
- Promotion rates for women: 22% to manager in 3 years 2023
- Black employee turnover: 14.5% vs 11% white in 2022
Progress is uneven, with persistent pay and leadership gaps but stronger DEI programs improving retention in medtech.
Equity in Compensation
Equity in Compensation Interpretation
Inclusion Initiatives
Inclusion Initiatives Interpretation
Leadership Diversity
Leadership Diversity Interpretation
Representation in Workforce
Representation in Workforce Interpretation
Retention and Advancement
Retention and Advancement 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.
Stefan Wendt. (2026, February 13). Diversity Equity And Inclusion In The Medical Device Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-medical-device-industry-statistics
Stefan Wendt. "Diversity Equity And Inclusion In The Medical Device Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-medical-device-industry-statistics.
Stefan Wendt. 2026. "Diversity Equity And Inclusion In The Medical Device Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-medical-device-industry-statistics.
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