Key Takeaways
- In 2023, women comprised 25.3% of the total U.S. automotive industry workforce, an increase of 2.1 percentage points from 2021
- Ford Motor Company reported that 28% of its U.S. salaried workforce were women in 2022, up from 26% in 2020
- General Motors had 24.7% women in its global workforce as of 2023, with 29% in leadership roles
- In 2023, Black or African American employees comprised 12.4% of the U.S. auto industry workforce, per BLS data
- Hispanics/Latinos made up 18.7% of U.S. automotive manufacturing workers in 2023
- Asian employees represent 6.3% of Ford's U.S. workforce in 2022
- Women executives: 12.4% of auto industry C-suite in 2023 per Deloitte
- Ford: 29% women in senior leadership 2022
- GM board: 36% women in 2023
- Gender pay gap in auto industry: 18.2% less for women in 2023 BLS
- Ford U.S. salaried gender pay gap: 1.2% in 2022
- GM median pay equity: 99.5% women vs men 2023
- Auto supplier spend with minority-owned: 8.2% industry average 2023
- Ford: 12.1% spend with diverse suppliers 2022
- GM: 11.5% minority supplier spend 2023
The auto industry is making slow but measurable progress on diversity and inclusion.
Gender Diversity
Gender Diversity Interpretation
Inclusion Programs
Inclusion Programs Interpretation
Leadership Representation
Leadership Representation Interpretation
Pay Equity
Pay Equity Interpretation
Racial Ethnic Diversity
Racial Ethnic Diversity Interpretation
Supplier Diversity
Supplier 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.
Sophie Moreland. (2026, February 13). Diversity Equity And Inclusion In The Auto Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-auto-industry-statistics
Sophie Moreland. "Diversity Equity And Inclusion In The Auto Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-auto-industry-statistics.
Sophie Moreland. 2026. "Diversity Equity And Inclusion In The Auto Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-auto-industry-statistics.
Sources & References
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