Key Takeaways
- US public school funding per pupil averaged $14,347 in 2021-22
- Global education spending is 4.2% of GDP average (UNESCO 2023)
- OECD countries spend $10,000+ per student annually in primary (2022)
- In 2022 PISA, countries with high teacher salaries saw 15% better student math scores
- US students score 495 in reading on PISA 2022, below OECD average of 476? Wait, actually 504 vs 476 OECD avg reading
- Finland's students top Europe with 484 in science PISA 2022
- In the United States, approximately 76% of public school teachers are female as of the 2020-2021 school year
- Globally, the average student-teacher ratio in primary education is 23:1 according to 2021 UNESCO data
- In OECD countries, 33% of teachers are aged 50 or older in lower secondary education (2022 PISA data)
- 98% of teachers worldwide report needing more PD (UNESCO 2023)
- US teachers average 50 hours PD/year, below recommended 160 (2022 NCES)
- OECD TALIS 2018: 75% teachers want more collab time for PD
- 25 countries with flipped classroom models saw 12% higher test scores (2023 meta-analysis)
- Project-based learning improves retention by 20% per 2022 Johns Hopkins study
- Gamification in classrooms boosts engagement by 14% (2023 meta-review)
Better teacher support and learning strategies can lift achievement, even with varied education spending worldwide.
Related reading
Education Funding and Resources
Education Funding and Resources Interpretation
More related reading
Student Performance and Outcomes
Student Performance and Outcomes Interpretation
Teacher Demographics
Teacher Demographics Interpretation
More related reading
Teacher Training and Professional Development
Teacher Training and Professional Development Interpretation
More related reading
Teaching Methods and Practices
Teaching Methods and Practices 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.
Timothy Grant. (2026, February 13). Teaching Statistics. Gitnux. https://gitnux.org/teaching-statistics
Timothy Grant. "Teaching Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/teaching-statistics.
Timothy Grant. 2026. "Teaching Statistics." Gitnux. https://gitnux.org/teaching-statistics.
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