School enrollment, tertiary (% gross) (World Bank) (SE.TER.ENRR)
The latest world value of School enrollment, tertiary (% gross) is 43.62% in 2024. Source: World Bank, indicator SE.TER.ENRR. Compare countries, chart the series, or query it free as CSV, JSON, or API at https://autario.com/data/school-enrollment-tertiary-gross-world-bank.
17,490 rows · 15 columns · Time coverage: 1960 | 2025 · 265 regions/countries · Latest world value: 43.62% (2024) · Last data pull: 2026-09-11
This dataset from the World Bank measures gross tertiary enrollment ratios across countries, expressed as the percentage of the total student population relative to the official age group for higher education. Tertiary enrollment serves as a critical indicator of educational access, human capital development, and economic preparedness, making it essential for policymakers, researchers, and development organizations tracking global education trends.
The dataset contains 17490 observations covering 246 entities spanning from 1970 to 2025. Global enrollment ratios range from a minimum of 0 to a maximum of 1, with an average of 0.5 across all records. As of the most recent data points, Sweden achieved a ratio of 1 in 2024, while Grenada and Sierra Leone reached 0.99, demonstrating near-universal tertiary access in leading countries. Conversely, the lowest performers in recent years include Bhutan, Fiji, and Macedonia, each at 0.01 in 2023 or 2024.
The dramatic variation between highest and lowest enrollment rates reveals profound global inequality in higher education access. Sweden's growth from 0.01 in 2001 to 1 in 2024 reflects a compound annual growth rate of 21.41 percent, underscoring how rapidly educational infrastructure can expand in developed economies. Meanwhile, many low-income nations remain trapped at minimal enrollment levels, signaling persistent barriers to tertiary education for their populations.
Researchers, journalists, and development analysts use this dataset to assess educational progress against sustainable development goals, benchmark national performance, identify regions requiring investment, and analyze the relationship between tertiary enrollment and economic outcomes.
School enrollment, tertiary (% gross) (World Bank) by country, latest reported year
Highest: Greece at 165.11% (2023). Lowest: Haiti at 1.05% (1986). Ranked across 203 countries with a reported value, each in its own reporting year between 1986 and 2025.
Showing the top 25 of 203 countries with a reported value. Full table as CSV or JSON at https://autario.com/data/school-enrollment-tertiary-gross-world-bank.
Aggregates reported in the same series
Regions and country groups published by World Bank alongside the countries. They are not part of the country ranking above.
| Aggregate | Value (%) | Year |
|---|
| Europe & Central Asia IDA & IBRD (WB) | 88.62 | 2024 |
| Europe & Central Asia excluding high income (WB) | 85.11 | 2024 |
| Europe & Central Asia (WB) | 84.89 | 2024 |
| Euro Area | 81.89 | 2024 |
| Post-demographic dividend (WB) | 80.23 | 2024 |
| European Union | 79.5 | 2024 |
| North America (WB) | 79.04 | 2024 |
| OECD members (WB) | 78.64 | 2024 |
Chart: Japan's School Enrollment, Tertiary (% Gross) (2013-2023)
Query via API instead of re-downloading. Live REST API and instant in-browser charts stay source-synced with the primary publisher, no CSV exports to maintain, MCP-ready for Claude, ChatGPT, and Cursor. Use this dataset in Power BI or Excel via the public API, no key required.
Indicator code: SE.TER.ENRR · direct CSV, JSON, and live API access below.
Show API + MCP usage examples
# Get data (JSON)
curl "https://autario.com/api/v1/public/datasets/121ebff2-c795-471d-87c5-10f6fab40134/data?limit=100"
# Filter and sort on this dataset's own columns (replace the bracketed placeholder with a value)
curl "https://autario.com/api/v1/public/datasets/121ebff2-c795-471d-87c5-10f6fab40134/data?filter=country:eq:<country>&filter=date:gte:<date>&sort=date:desc"
# CSV export (login required)
curl "https://autario.com/api/v1/public/datasets/121ebff2-c795-471d-87c5-10f6fab40134/export"
# Python
import requests
r = requests.get("https://autario.com/api/v1/public/datasets/121ebff2-c795-471d-87c5-10f6fab40134/data", params={"limit": 100})
data = r.json()["data"]
Full API docs · Agent guide · MCP setup for Claude / ChatGPT / Cursor · No API key required for public data.
For AI agents
Statistics for this dataset are precomputed server-side. One call returns finished, verified numbers with provenance. No row download, no local computation:
# Finished stats, zero rows (n, min, max, avg, first/last)
curl "https://autario.com/api/v1/public/datasets/121ebff2-c795-471d-87c5-10f6fab40134/data?summary_only=true"
# Summary statistics (mean/median/std/quartiles/skew)
curl "https://autario.com/api/v1/public/ontology/stats/describe?indicator=wb_school_enrollment_tertiary_gross_world_bank_121ebf&entity=Africa%20Eastern%20and%20Southern"
# Growth: latest period-over-period change
curl "https://autario.com/api/v1/public/ontology/stats/pct-change?indicator=wb_school_enrollment_tertiary_gross_world_bank_121ebf&entity=Africa%20Eastern%20and%20Southern"
# Smoothed trend: 5-period rolling mean
curl "https://autario.com/api/v1/public/ontology/stats/rolling?indicator=wb_school_enrollment_tertiary_gross_world_bank_121ebf&entity=Africa%20Eastern%20and%20Southern&window=5"
# Correlate with any other indicator (ids via /api/v1/public/ontology/indicators)
curl "https://autario.com/api/v1/public/ontology/stats/correlate?entity=Africa%20Eastern%20and%20Southern&a=wb_school_enrollment_tertiary_gross_world_bank_121ebf&b=<indicator_id>"
The same operations are MCP tools (describe, pct_change, rolling_stats, correlate) via npx autario-mcp or the remote endpoint https://autario.com/mcp. MCP responses default to TOON format and use about 74% fewer tokens than pretty JSON. Details: agent guide and llms.txt.
Original source: World Bank (source code: SE.TER.ENRR)
Sample rows
| country | indicator | date | value | obs_status | decimal |
|---|
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2025 | | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2024 | | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2023 | | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2022 | | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2021 | 8.66186046600342 | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2020 | 8.71187019348145 | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2019 | 8.67273044586182 | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2018 | 8.7509298324585 | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2017 | 8.71269035339355 | | 0 |
| Africa Eastern and Southern | School enrollment, tertiary (% gross) | 2016 | 8.57314014434814 | | 0 |
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Topic hubs: Education · Population & Demographics
Keywords: SE.TER.ENRR, WDI, countries, Education
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