Key Takeaways
- Only 1.4% of speaking characters in top 100 films 2022 had disabilities
- Blind characters: 0.3% across 1,200 films 2007-2022
- Deaf/HoH leads: 0.2% top films 2022
- In the top 100 grossing films of 2022, women comprised only 44.7% of all speaking or named characters
- Across 1,200 popular films from 2007-2022, female characters were 33.9% more likely than male characters to be shown in sexually revealing clothing
- In top-grossing films from 2007-2021, only 29% of protagonists were girls/women under 30 years old
- In top films 2022, only 1.1% of speaking characters were LGBTQ-identified
- Gay male characters: 0.7% of all roles in top 100 films 2022
- Lesbian characters: 0.4% in theatrical films 2021-2022
- In top 250 films 2022, directors of color: 21%
- Women in C-suite at studios: 27% in 2023
- POC executives: 14.2% major studios 2022
- Underrepresented racial/ethnic groups comprised 40.8% of the population but only 18.4% of lead actors in top 200 films of 2021
- Black actors held 8.5% of speaking roles in top 100 films 2022
- Hispanic/Latino leads in theatrical films: 5.8% in 2022, despite 19% population
Disability representation remains extremely low in major films, with women and people of color facing even bigger gaps.
Disability Representation
Disability Representation Interpretation
Gender Diversity
Gender Diversity Interpretation
LGBTQ+ Inclusion
LGBTQ+ Inclusion Interpretation
Leadership and Employment Equity
Leadership and Employment Equity 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.
Elena Vasquez. (2026, February 13). Diversity Equity And Inclusion In The Film Industry Statistics. Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-film-industry-statistics
Elena Vasquez. "Diversity Equity And Inclusion In The Film Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/diversity-equity-and-inclusion-in-the-film-industry-statistics.
Elena Vasquez. 2026. "Diversity Equity And Inclusion In The Film Industry Statistics." Gitnux. https://gitnux.org/diversity-equity-and-inclusion-in-the-film-industry-statistics.
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