Key Takeaways
- 763 million adult learners worldwide participated in education and training in 2018 (ages 15+), per UNESCO modeling.
- 25 million tertiary school-age students were out of school in 2021.
- 48.3 million children were enrolled in pre-primary education in the US in 2020.
- 1.6 billion students were affected by school closures at the peak of COVID-19 in 2020.
- 78% of teachers reported needing further training to effectively use digital tools for teaching.
- 48% of colleges and universities in the US reported using a learning management system (LMS) for instruction in 2020.
- US K-12 per-pupil spending increased from $10,800 in 2011–12 to $14,604 in 2020–21 (inflation-adjusted not specified in source table).
- US public K-12 schools’ total expenditures were $799 billion in fiscal year 2020.
- The average published tuition and fees at private nonprofit four-year institutions in the US was $39,723 for 2022–23.
- In OECD countries, 44% of 15-year-old students report that they expect to complete tertiary education (PISA 2022 student questionnaire).
- In the US, unemployment rate for high school graduates (no college) was 4.1% in 2023 (BLS).
- In 2023, the WEF estimated that employers expected 23% of workers to require upskilling by 2027.
- In the US, the 4-year high school graduation rate was 86.0% for the cohort graduating in 2021.
- US NAEP eighth-grade math scores declined by 3 points from 2019 to 2022.
- 53% of children and youth in low- and middle-income countries were in learning poverty in 2022 (inability to reach minimum proficiency in reading by age 10).
Nearly 1.6 billion learners were disrupted by COVID and teacher training and learning gaps still persist globally.
Global Enrollment
Global Enrollment Interpretation
Digital Learning
Digital Learning Interpretation
Education Costs
Education Costs Interpretation
Education Labor & Skills
Education Labor & Skills Interpretation
Outcomes & Achievement
Outcomes & Achievement 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.
Thomas Lindqvist. (2026, February 13). Education Statistics. Gitnux. https://gitnux.org/education-statistics
Thomas Lindqvist. "Education Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/education-statistics.
Thomas Lindqvist. 2026. "Education Statistics." Gitnux. https://gitnux.org/education-statistics.
References
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