Key Takeaways
- In 2022-2023, 45% of banned books nationwide dealt with LGBTQ+ characters or themes per PEN.
- ALA's top challenged 2023: "Gender Queer" by Maia Kobabe, cited for LGBTQ+ content and sex.
- 30% of banned titles 2022-2023 addressed race or racism, per PEN analysis.
- In Escambia County, Florida, 37% of banned books reinstated after review in 2023.
- PEN: 17 districts reversed 50+ bans in 2023 amid lawsuits.
- ALA: 46% of challenges in 2023 did not lead to removals due to policy adherence.
- Federal lawsuit in Florida reinstated 9 books in Escambia 2024.
- PEN sued 7 districts in 2023 for First Amendment violations.
- Supreme Court declined Florida book ban appeal March 2024.
- In the 2021-2022 school year, PEN America identified 2,532 unique instances of books banned or under restriction in 138 school districts across 32 states, primarily targeting titles with LGBTQ+ themes.
- From July 2021 to June 2022, the American Library Association recorded 1,269 demands to censor library materials, the highest number in its 20-year data tracking history.
- PEN America's 2022-2023 report found 3,362 book bans in schools, affecting 4,349 unique titles across 313 districts in 42 states.
- Florida saw 1,406 book challenges in 2021-2022 school year per PEN America, the highest in the nation.
- Texas recorded 801 book bans in 2022-2023 across 22 districts, second highest nationally.
- In Iowa, PEN documented 65 bans in four districts during 2022-2023, all LGBTQ+ focused.
LGBTQ and sex related books drove most bans in 2022 to 2023, with thousands of challenges nationwide.
Book Characteristics
Book Characteristics Interpretation
Institutional Responses
Institutional Responses Interpretation
Legal Challenges
Legal Challenges Interpretation
National Statistics
National Statistics Interpretation
State-Level Data
State-Level Data 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.
David Sutherland. (2026, February 13). Book Ban Statistics. Gitnux. https://gitnux.org/book-ban-statistics
David Sutherland. "Book Ban Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/book-ban-statistics.
David Sutherland. 2026. "Book Ban Statistics." Gitnux. https://gitnux.org/book-ban-statistics.
Sources & References
- Reference 1PENpen.org
pen.org
- Reference 2ALAala.org
ala.org
- Reference 3URBANurban.org
urban.org
- Reference 4NEWSWEEKnewsweek.com
newsweek.com
- Reference 5NYTIMESnytimes.com
nytimes.com
- Reference 6NCACncac.org
ncac.org
- Reference 7LIBRARYJOURNALlibraryjournal.com
libraryjournal.com
- Reference 8SCOTUSBLOGscotusblog.com
scotusblog.com
- Reference 9ACLUaclu.org
aclu.org







