Key Takeaways
- 10.0% of households in the United States are linguistically isolated
- 9.8% of households in the United States have no one 14 years and older who speaks English 'very well'
- 1.4% of households in the United States are in which no one 14 years and older speaks English 'very well' and the household has at least one child under 18
- 2.2x higher odds of having a learning disability among bilingual children exposed to both languages at low proficiency levels (study finding, odds ratio)
- 5.2 percentage-point increase in reading achievement for students in bilingual programs compared with non-bilingual peers (meta-analytic estimate)
- 2.5x greater improvement in vocabulary scores for students taught with dual-language instruction vs English-only (experimental comparison reported effect size)
Many people are bilingual or learn multiple languages, and research links bilingual education to measurable academic and cognitive gains.
User Adoption
User Adoption Interpretation
Performance Metrics
Performance Metrics 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.
Leah Kessler. (2026, February 13). Bilingual Statistics. Gitnux. https://gitnux.org/bilingual-statistics
Leah Kessler. "Bilingual Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/bilingual-statistics.
Leah Kessler. 2026. "Bilingual Statistics." Gitnux. https://gitnux.org/bilingual-statistics.
References
- 1census.gov/library/publications/2023/demo/p60-279.html
- 2europa.eu/eurobarometer/surveys/detail/2670
- 3ec.europa.eu/eurostat/statistics-explained/index.php?title=Foreign_language_learning_statistics
- 7ec.europa.eu/eurostat/statistics-explained/index.php?title=Being_linguistically_diverse_in_the_EU
- 4britannica.com/topic/bilingualism
- 5britannica.com/topic/English-language/English-as-a-global-language
- 6unesdoc.unesco.org/ark:/48223/pf0000246467
- 9unesdoc.unesco.org/ark:/48223/pf0000219580
- 8www150.statcan.gc.ca/n1/pub/89-657-x/89-657-x2016002-eng.htm
- 10pubmed.ncbi.nlm.nih.gov/31019643/
- 14pubmed.ncbi.nlm.nih.gov/25604516/
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- 15ncbi.nlm.nih.gov/pmc/articles/PMC3538048/
- 17ncbi.nlm.nih.gov/pmc/articles/PMC5049656/
- 16journals.sagepub.com/doi/10.1177/1362168812465360
- 18journals.plos.org/plosone/article?id=10.1371/journal.pone.0100826
- 21ies.ed.gov/ncee/wwc/PracticeGuide/19?utm_campaign=wwc
- 27tandfonline.com/doi/abs/10.1080/03050068.2017.1389636
- 32onlinelibrary.wiley.com/doi/10.1111/lang.12345







