Key Takeaways
- In 2023, women comprised only 18% of directors for the top 250 theatrical releases, a slight increase from 16% in 2022 but still far below parity
- In streaming films, female leads were 32% in 2023, up from 29% but stagnant for two years, Nielsen report
- Non-binary directors helmed 1.2% of top-grossing films in 2023, Celluloid Ceiling
- Black actors made up 13.4% of leads/co-leads in theatrical films in 2023, compared to 14.2% in 2022, per UCLA Hollywood Diversity Report
- Latinx performers held 8.9% of leading roles in top films of 2023, down from 10.5% pre-pandemic, UCLA data
- Asian leads in theatrical films dropped to 4.7% in 2023 from 6.1% in 2021, UCLA Hollywood Diversity Report
- Only 5.2% of DGA members identifying as LGBTQ+ directed primetime broadcast scripted shows in 2022-2023 season
- Transgender characters numbered only 0.4% across all TV scripted shows in 2022-2023, GLAAD Where We Are on TV
- Lesbian characters were 1.8% of LGBTQ+ roles on TV, lowest since 2019, GLAAD 2023
- Characters with disabilities appeared in just 2.3% of speaking roles in top TV series in 2022, according to Annenberg Inclusion Initiative
- Disabled actors portrayed 1.1% of characters with disabilities in films 2022, Ruderman Family Foundation
- Only 4% of film crew positions were held by people with disabilities in 2022, ReelAbilities data
- The median pay gap shows women directors earning 22% less than men in film productions over $10M budget in 2023
- BIPOC writers earned 15% less per script than white writers in TV pilots 2023, WGA data
- Executive producers saw a 28% gender pay disparity in high-budget films 2023, Variety Intelligence
The entertainment industry shows persistent underrepresentation and pay gaps for most marginalized groups.
Disability Representation
Disability Representation Interpretation
Equity and Pay Gaps
Equity and Pay Gaps Interpretation
Gender Diversity
Gender Diversity Interpretation
LGBTQ+ Inclusion
LGBTQ+ Inclusion 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.
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.
Min-ji Park. (2026, February 13). Diversity Equity And Inclusion In The Entertainment Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-entertainment-industry-statistics
Min-ji Park. "Diversity Equity And Inclusion In The Entertainment Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-entertainment-industry-statistics.
Min-ji Park. 2026. "Diversity Equity And Inclusion In The Entertainment Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-entertainment-industry-statistics.
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