API Access

Access dataset files directly from scripts, code, or AI agents.

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Dataset Files

Each file has a stable URL (r-link) that you can use directly in scripts, apps, or AI agents. These URLs are permanent and safe to hardcode.

/society-and-living-standards/pisa-education-performance/

├ README.md

https://datahub.io/society-and-living-standards/pisa-education-performance/_r/-/README.md

├ data/pisa-scores.csv

https://datahub.io/society-and-living-standards/pisa-education-performance/_r/-/data/pisa-scores.csv

└ datapackage.json

https://datahub.io/society-and-living-standards/pisa-education-performance/_r/-/datapackage.json

Key Files

Start with these files — they give you everything you need to understand and access the dataset.

datapackage.json— metadata & schema

https://datahub.io/society-and-living-standards/pisa-education-performance/_r/-/datapackage.json

README.md— documentation

https://datahub.io/society-and-living-standards/pisa-education-performance/_r/-/README.md

Typical Usage

1. Fetch datapackage.json to inspect schema and resources
2. Download data resources listed in datapackage.json
3. Read README.md for full context

Data Views

Data Previews

pisa-scores

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Schema

name	type	description
country_name	string	Country or economy name (e.g. 'Finland', 'China (Shanghai)', 'United States')
country_code	string	ISO 3166-1 alpha-3 country code (e.g. FIN, USA, CHN)
year	integer	PISA cycle year: 2000, 2003, 2006, 2009, 2012, 2015, or 2018
subject	string	Assessment subject: 'mathematics', 'reading', or 'science'
mean_score	number	Mean PISA score for all students in the country/economy. Scale is standardised with OECD mean ≈ 500 and standard deviation ≈ 100.

Data Files

File	Description	Size	Last modified	Download
pisa-scores	Mean PISA performance scores for mathematics, reading, and science by country and year (all students, age 15). Long format: one row per country × subject × year. Covers 85 countries and economies across 7 PISA cycles (2000–2018).	44.1 kB	about 1 month ago	pisa-scores

Files	Size	Format	Created	Updated	License	Source
1	44.1 kB	csv		about 1 month ago	Creative Commons Attribution 4.0 International	OECD Programme for International Student Assessment (PISA) — via World Bank EdStats

PISA Education Performance

OECD PISA (Programme for International Student Assessment) mean performance scores for 15-year-olds in mathematics, reading, and science — 85 countries and economies across 7 cycles from 2000 to 2018.

PISA is one of the few cross-country standardised assessments of student skills. It has been conducted every three years since 2000 and remains the primary source for international comparisons of education outcomes.

Data

`pisa-scores.csv`

Mean PISA scores in long format: one row per country × subject × year.

Field	Description
`country_name`	Country or economy name
`country_code`	ISO 3166-1 alpha-3 code
`year`	PISA cycle year (2000, 2003, 2006, 2009, 2012, 2015, 2018)
`subject`	`mathematics`, `reading`, or `science`
`mean_score`	Mean PISA score (OECD mean ≈ 500, SD ≈ 100)

Coverage: 85 countries/economies, 7 cycles, 3 subjects = 1,261 observations.

Note: PISA 2022 data (published December 2023) is not yet available in the World Bank EdStats source used here.

Sources

OECD PISA — oecd.org/pisa — the authoritative source
World Bank EdStats — datatopics.worldbank.org/education — indicators LO.PISA.MAT, LO.PISA.REA, LO.PISA.SCI (mirrors OECD PISA data, CC-BY 4.0)

Processing

Run python3 process.py to regenerate data/pisa-scores.csv by downloading the latest data from the World Bank EdStats API.