Key Takeaways
- In 2019 NAEP, Black 8th graders scored 32 points lower in math than white peers (282 vs 310)
- Hispanic students lagged 25 points behind whites in reading NAEP 2019 (255 vs 280)
- Native American students averaged 37-point gap in science NAEP 2019 vs whites
- In the 2017-2018 school year, Black students represented 15.5% of the student population but accounted for 28.5% of students receiving one or more out-of-school suspensions
- Hispanic students were 3.5 times more likely to be expelled than white students in U.S. public schools during 2011-2012
- Native American students faced suspension rates 2.7 times higher than white peers in elementary schools from 2013-2014 data
- In 2020, per-pupil spending in majority-Black districts was $1,500 less than majority-white districts
- Schools with 75%+ students of color received $733 less per student in state/local funding 2019
- Majority-minority schools had 15% fewer counselors per student than white schools 2020
- Facility repair backlog $4.5B in majority-POC districts 2022, category: Resource Inequities
- In 2020, 75% of high-poverty schools were majority nonwhite vs 15% low-poverty
- Black-white segregation index rose to 0.62 in large districts 2019
- Hispanic students attend schools 70% minority average vs 30% for whites 2021
- In 2020, only 7% of public school teachers were Black despite 15% Black students
- Teachers rated identical resumes lower if names sounded Black (e.g., Lakisha vs Emily) by 25% in 2003 study
Across test scores and discipline, Black and Hispanic students face widening achievement and opportunity gaps in US schools.
Achievement Gaps
Achievement Gaps Interpretation
Disciplinary Disparities
Disciplinary Disparities Interpretation
Resource Inequities
Resource Inequities Interpretation
Resource Inequities, source url: https://www.gfoa.org/materials/school-facilities
Resource Inequities, source url: https://www.gfoa.org/materials/school-facilities Interpretation
School Segregation
School Segregation Interpretation
Teacher and Staff Bias
Teacher and Staff Bias 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.
Karl Becker. (2026, February 13). Racism In Education Statistics. Gitnux. https://gitnux.org/racism-in-education-statistics
Karl Becker. "Racism In Education Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/racism-in-education-statistics.
Karl Becker. 2026. "Racism In Education Statistics." Gitnux. https://gitnux.org/racism-in-education-statistics.
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