Key Takeaways
- In 2021, Latin America's primary completion rate averaged 92.6%, with secondary at 72.4%
- Brazil's secondary completion rate for youth 18-24 was 78.9% in 2022
- Mexico's upper secondary completion reached 65.3% in 2021, females 68.2% vs males 62.4%
- In 2022, Brazil's gross enrollment ratio (GER) in primary education reached 107.3% for children aged 6-14, indicating significant over-age enrollment due to late entry
- Mexico's net enrollment rate (NER) in primary education was 94.8% in 2021 for ages 6-11, with urban areas at 96.2% versus rural 91.5%
- Argentina reported a primary GER of 110.1% in 2020, driven by repetition and delayed promotion policies
- In 2021, Latin America education spending averaged 5.3% of GDP
- Brazil allocated 6.2% GDP to education in 2022, with 25% earmarked for maintenance
- Mexico's public education expenditure per student primary was USD 3,214 in 2020 PPP
- In 2022, Latin America's adult literacy rate (ages 15+) averaged 94.7%, with females at 95.2% and males at 94.2%
- Brazil's youth literacy rate (15-24) reached 99.1% in 2021, urban 99.5% vs rural 97.8%
- Mexico's indigenous population literacy rate was 78.6% in 2020 census
- In 2022, Latin America's PISA math score average was 377, below OECD 472, with Uruguay at 409 highest
- Brazil's PISA 2022 reading score was 410, improved from 413 in 2018 but still low equity
- Mexico scored 395 in PISA math 2022, with gender gap of 18 points favoring boys
Latin America boosts completion and learning unevenly, with high primary rates but much lower tertiary outcomes.
Completion and Attainment
Completion and Attainment Interpretation
Enrollment and Access
Enrollment and Access Interpretation
Funding Expenditure and Resources
Funding Expenditure and Resources Interpretation
Literacy Rates
Literacy Rates Interpretation
Quality and Test Scores
Quality and Test Scores Interpretation
Teachers and Infrastructure
Teachers and Infrastructure 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.
Min-ji Park. (2026, February 13). Education In Latin America Statistics. Gitnux. https://gitnux.org/education-in-latin-america-statistics
Min-ji Park. "Education In Latin America Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/education-in-latin-america-statistics.
Min-ji Park. 2026. "Education In Latin America Statistics." Gitnux. https://gitnux.org/education-in-latin-america-statistics.
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