Key Takeaways
- 1.8 million students received suspensions during the 2013–14 school year
- 18% of districts reported using law enforcement in schools in 2013–14
- In 2013–14, 60% of schools reported using suspension or expulsion in their discipline policies (public school policy survey)
- Black students received 10.0% of enrollments but accounted for 33.0% of suspensions in the 2015–16 Civil Rights Data Collection
- Students with disabilities accounted for 12.6% of enrollment but 24.3% of suspensions in 2015–16
- Black students accounted for 27.2% of school-related arrests while representing 15.1% of enrollment (2015–16 CRDC)
- 2016–17 data show 1,462,000 students were arrested or referred to law enforcement in K–12
- 2017–18 data show 1,623,000 students were arrested or referred to law enforcement in K–12
- 2018–19 data show 1,777,000 students were arrested or referred to law enforcement in K–12
- PBIS implementation is linked to reduced disciplinary actions in a meta-analysis showing lower suspension rates by about 25%
- A meta-analysis found PBIS is associated with improvements in prosocial behavior with an average effect size (Hedges g) of 0.5
- Restorative practices interventions showed reductions in suspension rates in a systematic review reporting a mean standardized effect favoring restorative approaches
In 2013 to 2014, millions faced suspensions and law enforcement involvement, with Black and disabled students disproportionately targeted.
School Discipline
School Discipline Interpretation
Disparities And Outcomes
Disparities And Outcomes Interpretation
Criminal Justice Linkages
Criminal Justice Linkages Interpretation
Program Effectiveness And Policy
Program Effectiveness And Policy 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). School-To-Prison Pipeline Statistics. Gitnux. https://gitnux.org/school-to-prison-pipeline-statistics
Stefan Wendt. "School-To-Prison Pipeline Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/school-to-prison-pipeline-statistics.
Stefan Wendt. 2026. "School-To-Prison Pipeline Statistics." Gitnux. https://gitnux.org/school-to-prison-pipeline-statistics.
References
- 1nces.ed.gov/pubs2017/2017024.pdf
- 17nces.ed.gov/pubs2017/2017076.pdf
- 2ocrdata.ed.gov/Downloads/CRDC-Suspension-Data-2015-16.pdf
- 3ocrdata.ed.gov/Downloads/CRDC-Arrests-Data-2015-16.pdf
- 4ocrdata.ed.gov/Downloads/CRDC-Law-Enforcement-Referrals-2015-16.pdf
- 5ocrdata.ed.gov/Downloads/CRDC-Expulsion-Data-2015-16.pdf
- 6ocrdata.ed.gov/assets/downloads/CRDC-Suspension-Data-2015-16.pdf
- 7ocrdata.ed.gov/assets/downloads/CRDC-Expulsion-Data-2015-16.pdf
- 8ocrdata.ed.gov/assets/downloads/CRDC-Law-Enforcement-Referrals-2015-16.pdf
- 9ocrdata.ed.gov/assets/downloads/CRDC-Arrests-Data-2015-16.pdf
- 10ocrdata.ed.gov/Downloads/CRDC-Arrests-Misdemeanor-Analysis.pdf
- 12ocrdata.ed.gov/StateNationalEstimations/2016
- 13ocrdata.ed.gov/StateNationalEstimations/2017
- 14ocrdata.ed.gov/StateNationalEstimations/2018
- 16ocrdata.ed.gov/assets/downloads/CRDC-Data-Brief-School-Discipline.pdf
- 24ocrdata.ed.gov/about-crdc
- 11journals.sagepub.com/doi/10.1177/2378023116688975
- 15journals.sagepub.com/doi/10.1177/0044118X07308188
- 18ncbi.nlm.nih.gov/pmc/articles/PMC4477212/
- 19ncbi.nlm.nih.gov/books/NBK534312/
- 20ncbi.nlm.nih.gov/pmc/articles/PMC5859006/
- 21jstor.org/stable/40264491
- 22rand.org/pubs/research_reports/RR1472.html
- 23samhsa.gov/nrepp







