Key Takeaways
- The average adjusted cohort graduation rate (ACGR) for ELs in 2019–20 was 64.3 percent, compared with 86.4 percent for non-EL students
- In 2018–19, the status dropout rate for ELs ages 16–24 was 19.6 percent, compared with 4.8 percent for non-EL students
- Fourth-grade EL students’ average NAEP mathematics score in 2022 was 215, 35 points lower than non-EL students’ score of 250
- Approximately 40% of U.S. teachers report lacking preparation to teach ELLs effectively
- ELLs are four times more likely to drop out of high school than native English speakers
- In 2020, 25% of ELLs experienced homelessness compared to 5% of non-ELLs
- In fall 2020, about 4.7 million public school students, or 9.5% of all public school students in the United States, were identified as English learners (ELs)
- As of the 2018–19 school year, English language learners (ELLs) made up 10.1% of public K–12 enrollment, totaling roughly 5 million students
- Hispanic students accounted for 73% of all ELs enrolled in public K–12 schools in 2018–19
- In 2022, 1.1 million students were served under Title III for ELLs, funding $800 million
- 85% of districts offer ESL pull-out programs for ELLs
- Dual language immersion programs grew 300% from 2010-2020, serving 10% of ELLs
- 65% of ELs who reclassified as fluent had higher college enrollment rates of 70% vs. 50% ongoing ELs in 2020
- Former ELs had 85% high school graduation rate in 2019, compared to 65% current ELs
- ELLs who exit program earn 10% higher wages long-term
English learners face much lower graduation and achievement rates than non English learners, showing urgent support needs.
Academic Performance
Academic Performance Interpretation
Challenges Faced
Challenges Faced Interpretation
Demographics
Demographics Interpretation
Educational Programs
Educational Programs Interpretation
Long-term Outcomes
Long-term Outcomes 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.
Rachel Svensson. (2026, February 13). English Language Learners Statistics. Gitnux. https://gitnux.org/english-language-learners-statistics
Rachel Svensson. "English Language Learners Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/english-language-learners-statistics.
Rachel Svensson. 2026. "English Language Learners Statistics." Gitnux. https://gitnux.org/english-language-learners-statistics.
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