Key Takeaways
- Gender pay gap in automotive narrowed to 18.2% in 2023 from 20.1% in 2020
- GM women earned 92.3% of male median pay in U.S. 2023
- Ford achieved pay equity within 1% for same roles gender-wise 2023
- In 2023, women comprised 26.4% of the total U.S. automotive manufacturing workforce, marking a 1.2% increase from 2022
- At General Motors, female employees represented 28.7% of the global workforce in 2023, up from 27.1% in 2021
- Ford Motor Company's U.S. salaried workforce included 31.2% women in 2023, compared to 29.8% in 2020
- 65% of auto firms offer mandatory DEI training in 2023
- GM employee engagement score on inclusion rose to 87.2% in 2023
- Ford's ERGs grew to 12 groups with 25,000 members 2023
- At executive levels in U.S. auto firms, women held 18.5% of positions in 2023, per Deloitte study
- General Motors board of directors was 36.4% women in 2023
- Ford's executive leadership team included 27.8% women as of 2023
- In 2023, Black or African American employees constituted 11.8% of the U.S. automotive industry workforce, up 0.9% from 2022
- General Motors reported 14.2% Black employees in U.S. workforce 2023
- Ford Motor Company had 12.7% African American representation in U.S. salaried positions 2023
Gender and diversity gains are rising in auto, with pay gaps narrowing and representation improving across many workplaces.
Equity and Pay
Equity and Pay Interpretation
Gender Diversity
Gender Diversity Interpretation
Inclusion Programs
Inclusion Programs Interpretation
Leadership Diversity
Leadership Diversity 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.
Aisha Okonkwo. (2026, February 13). Diversity Equity And Inclusion In The Automobile Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-automobile-industry-statistics
Aisha Okonkwo. "Diversity Equity And Inclusion In The Automobile Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-automobile-industry-statistics.
Aisha Okonkwo. 2026. "Diversity Equity And Inclusion In The Automobile Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-automobile-industry-statistics.
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