Key Takeaways
- Dual enrollment students earned GPAs 0.4 points higher than non-dual peers.
- 92% pass rate for dual enrollment courses compared to 85% for college freshmen.
- Dual enrollees had 15% higher high school graduation rates in 2021 cohorts.
- Female students made up 52% of dual enrollment participants in 2021-22.
- Hispanic/Latino students represented 25% of dual enrollees in public schools 2021-22.
- Black students comprised 12% of dual enrollment in 2021, up from 10% in 2017.
- In 2021-22, 1,424,589 public high school students participated in dual enrollment programs, representing 28% of all public high school students.
- Dual enrollment participation grew by 17% from 2017-18 to 2021-22 among public high school students.
- In 2020-21, 1.2 million high school students were enrolled in dual enrollment courses across 49 states reporting data.
- 45 states fund dual enrollment, with average per-student subsidy $300.
- 32 states require dual enrollment for college readiness.
- Federal funding via Perkins V allocated $1.4B for CTE dual in 2023.
- Dual enrollment students had 22% higher college enrollment rates.
- Participants were 13% more likely to earn a bachelor's degree by age 24.
- Dual enrollment reduced college remediation by 28%.
Dual enrollment boosts student success, including higher GPAs, pass rates, and college readiness, while reducing remediation.
Academic Outcomes and Performance
Academic Outcomes and Performance Interpretation
Demographic Breakdowns
Demographic Breakdowns Interpretation
Enrollment and Participation Rates
Enrollment and Participation Rates Interpretation
Policy, Funding, and Access
Policy, Funding, and Access Interpretation
Program Impacts and Benefits
Program Impacts and Benefits 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). Dual Enrollment Statistics. Gitnux. https://gitnux.org/dual-enrollment-statistics
Stefan Wendt. "Dual Enrollment Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/dual-enrollment-statistics.
Stefan Wendt. 2026. "Dual Enrollment Statistics." Gitnux. https://gitnux.org/dual-enrollment-statistics.
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