Key Takeaways
- Disabled characters in top films: 2.3% in 2022, mostly with minor roles and stereotypes
- Leads with disabilities: 1.1% of top 100 films 2017-2022
- Autistic representation: 0.3% characters explicitly in films 2020-2023
- In 2022, women comprised only 18.2% of directors for the top 100 grossing films, a slight increase from 16.9% in 2021 but still far below parity
- Female actors held 44.7% of speaking roles in top-grossing films of 2022, up from 40.5% in 2019, yet underrepresented relative to U.S. population demographics
- Only 12.6% of producers on top 200 films in 2021 were women, highlighting persistent gender gaps in production leadership
- 80% of top studios adopted DEI standards by 2023, per Academy inclusion rules
- DEI training programs reached 70% of union crew by 2022
- Inclusive hiring increased POC roles by 15% post-2020 pledges
- LGBTQ+ characters appeared in just 1.1% of top 100 films in 2022, with most in supporting roles
- Gay male leads: 0.6% of top-grossing films 2019-2022
- Transgender representation: under 0.5% across 1,700+ films studied 2007-2023
- In 2022, Black or African American individuals accounted for 13.4% of movie leads in top theatrical releases, surpassing their 6.9% U.S. population share but still limited in genres like action
- Latinx performers held 8.9% of speaking or named roles in top 200 films of 2022, improved from 6.9% in 2021
- Asian actors comprised 5.7% of leads in 2022 top-grossing films, boosted by specific hits but inconsistent
Disability and LGBTQ+ roles remain scarce and often stereotyped, highlighting urgent gaps despite growing DEI efforts.
Disability Representation
Disability Representation Interpretation
Gender Representation
Gender Representation Interpretation
General DEI Metrics
General DEI Metrics Interpretation
LGBTQ+ Inclusion
LGBTQ+ Inclusion Interpretation
Racial/Ethnic Representation
Racial/Ethnic Representation 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 Motion Picture Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-motion-picture-industry-statistics
Stefan Wendt. "Diversity Equity And Inclusion In The Motion Picture Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-motion-picture-industry-statistics.
Stefan Wendt. 2026. "Diversity Equity And Inclusion In The Motion Picture Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-motion-picture-industry-statistics.
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