Key Takeaways
- Percentage of Black women who say they have experienced discrimination in beauty or grooming products: 28%
- Percentage of Black women who report being treated unfairly by beauty brands because of race: 33%
- Percentage of people who believe beauty industry brands don’t do enough to represent people of different skin tones: 66%
- Percentage of consumers who say they have experienced backlash or negative comments because of their hair type: 39%
- Percentage of foundation shades in inclusive line compared to standard (ratio): 1.8x
- Number of shades required for a “broad inclusion” foundation range in an audit: 30 shades
- Percentage of beauty consumers who identify DEI/representation as important to them when buying: 72%
- Percentage of consumers who say they pay more for brands that align with their values: 55%
- Percentage of respondents who said they felt more included after seeing diverse people in ads: 48%
- EEOC race discrimination charges in FY2023: 31,012 charges
- EEOC sex discrimination charges in FY2023: 20,660 charges
- EEOC retaliation charges in FY2023: 39,652 charges
- Percentage of US retail companies with formal DEI strategy (global survey): 63%
- Percentage of companies that include DEI in executive performance metrics: 41%
- Percentage of employees who received DEI training in the last 12 months: 62%
Beauty DEI lags: discrimination, narrow shades, bias at work, yet demand rises.
Representation & Hiring
Representation & Hiring Interpretation
Product Inclusion & Shade Matching
Product Inclusion & Shade Matching Interpretation
Consumer Impact & Attitudes
Consumer Impact & Attitudes Interpretation
Legal, Complaints & Enforcement
Legal, Complaints & Enforcement Interpretation
DEI Strategy, Reporting & Training
DEI Strategy, Reporting & Training 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.
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.
Margot Villeneuve. (2026, February 13). Diversity Equity And Inclusion In The Beauty Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-beauty-industry-statistics
Margot Villeneuve. "Diversity Equity And Inclusion In The Beauty Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-beauty-industry-statistics.
Margot Villeneuve. 2026. "Diversity Equity And Inclusion In The Beauty Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-beauty-industry-statistics.
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