AI-generated synthesis

Education — Saudi Arabia · Synthesis

Near-universal enrolment and high public spending, but weak PISA results and a central challenge: adapting the system (curricula, skills) to the needs of a diversified economy (Vision 2030).

Citoyen1 min read

Citoyen synthesis for the Education category in Saudi Arabia. Anchored on available data (Ministry of Education, GASTAT, OECD, UNESCO). All values are the latest available realised observation — never a forecast. Assessments are distinguished from sourced facts. Data last updated: June 2026.

1. Current situation — where the Saudi education system stands

Near-universal enrolment. Enrolment is near-universal and literacy is high, the result of massive investments funded by oil revenues.

High public spending. Education spending is high, with a significant effort on infrastructure and higher education (universities, overseas scholarships).

Weak PISA results. In international assessments (PISA, TIMSS), Saudi Arabia achieves weak results relative to its wealth — a challenge of quality and teaching methods.

A challenge of alignment with needs. Adapting curricula and skills to the needs of a diversified economy (technology, tourism, industry) is a pillar of Vision 2030 — a transformative undertaking.

Women's education on the rise. Women are highly represented in higher education (often constituting a majority of graduates), an achievement that feeds the rise in their employment (see Labour category).

Education & training

Saudi Arabia — PISA scores

373 score
2018
Source: World Bank· 2024
Citoyen indicator — real data · SA · 2026-06-15
Citoyen indicator — real data · SA · 2026-06-15
Citoyen indicator — real data · SA · 2026-06-15
Enrolment is near-universal and education spending is high, but PISA results remain weak.

2. Outlook — where the system is heading

Improving quality. Converting high spending into results (quality, PISA) is the central challenge.

Aligning with economic needs. Connecting education and higher education to the needs of the diversified economy is a Vision 2030 lever.

Leveraging female human capital. Translating women's educational success into employment is an economic and social challenge.

Open questions. Three challenges will shape the coming period: (1) improving quality; (2) aligning with economic needs; (3) leveraging female human capital.

Adapting education to the needs of a diversified economy is a pillar of Vision 2030.

3. International comparison — Saudi Arabia among its peers

Placed in its international context, Saudi Arabia has strong enrolment but results that need consolidating.

Three takeaways. (1) PISA: weak. Results are below the OECD average and close to those of emerging economies, despite higher wealth.

(2) High spending. The financial effort exceeds that of many comparators, without proportional results.

(3) Women's achievement. The high representation of women in higher education is a distinctive asset.

Education & training

Turkey — PISA scores

454 score
2018
Source: World Bank· 2024
Education & training

Mexico — PISA scores

409 score
2018
Source: World Bank· 2024
Education & training

Brazil — PISA scores

384 score
2018
Source: World Bank· 2024
Education & training

Saudi Arabia — PISA scores

373 score
2018
Source: World Bank· 2024
International comparison — pisa_scores · SA · 2026-06-15

International comparison — education

CountryPISA maths (2022)SpendingSpecificity
European Union≈ 472 (OECD avg.)highvariable
Türkiye≈ 453risingexpansion
Mexico≈ 395moderateinequalities
Brazil≈ 379risinginequalities
Saudi Arabiaweakhighwomen's achievement

Sources: OECD (PISA 2022), UNESCO, Ministry of Education. "≈" indicates rounding.

Data used (data journalism backbone)

DataValueSource
Enrolmentnear-universalUNESCO / GASTAT
Education spendinghighMinistry of Education
PISA scoreweak (< OECD)OECD PISA (Citoyen chart)
Alignment with needschallenge (Vision 2030)analyses
Women in higher educationhighly representedGASTAT

Sources (national analyses and references)

Ministry of Education · GASTAT · OECD (PISA) · UNESCO.

Methodology note — the synthesis distinguishes sourced facts from assessments, remains neutral, dates each piece of data, and does not extrapolate beyond sources. Latest available realised observation (no forecast). Note generated by AI, human review required. Same safeguards as the rest of the observatory.