Search for specific education indicators by country, theme or level of education and compare the results using interactive charts and tables.
Base Theme
| Education at a Glance 2020 (EAG 2020): Highlights |
| EAG 2020, Chapter A: The output of educational institutions and the impact of learning |
| EAG 2020, Chapter B: Access to education, participation and progression |
| EAG 2020, Chapter C: Financial resources invested in education |
| EAG 2020, Chapter D: Teachers, learning environment and organisation of schools |
| TALIS 2018 (Volume I): Teachers and School Leaders as Lifelong Learners |
| TALIS 2018 (Volume II): Teachers and School Leaders as Valued Professionals |
| TALIS 2018: Starting Strong Survey |
| PISA 2018: Highlight indicators |
| PISA 2018 Results (Volume II): Where All Students Can Succeed |
| PISA 2018 Results (Volume III): What School Life Means for Students' Lives |
| PISA 2018 Results (Volume IV): Are Students Smart About Money? |
| PISA 2018 Results (Volume V): Effective Policies, Successful Schools |
| PISA 2018 Results (Volume VI): Are Students Ready to Thrive in an Interconnected World? |
| Survey of Adult Skills (PIAAC): Full selection of indicators |
| Access & Participation |
| Organisation & Governance |
| Finance & Funding |
| Learning environment |
| Students' Well-Being |
| Teachers |
| Evaluation & Quality assurance |
| Equity |
| Gender |
| Digital divide |
| Special needs |
| Socio-economic status |
| Migrant background |
| Economic & Social outcomes |
| Internationalisation |
| Research & Innovation |
| School leadership |
| Trends shaping education |
| Attainment |
| Skills |
| Low performers |
| Computers, education & skills |
| Early childhood education & care |
| Vocational education & training (VET) |
| Tertiary education |
| Demographic, social & economic indicators |
Filters
Level
| Not in education |
| Early childhood education and care |
| Non-educational programmes (early childhood) |
| Pre-primary |
| Pre-primary and primary |
| Early childhood and primary |
| Primary |
| Primary and lower secondary |
| Primary and secondary |
| Primary to tertiary |
| Primary, secondary and post-secondary non-tertiary education |
| Lower secondary |
| Lower secondary, general |
| Lower secondary, vocational |
| Below upper secondary |
| Upper secondary |
| Upper secondary, general |
| Upper secondary, vocational |
| Upper secondary and post-secondary non-tertiary |
| Upper secondary and post-secondary non-tertiary, general |
| Upper secondary and post-secondary non-tertiary, vocational |
| Upper secondary and post-secondary non-tertiary, orientation not specified |
| At least upper secondary |
| Secondary |
| Secondary, general |
| Secondary, vocational |
| Post-secondary non-tertiary |
| Post-secondary non-tertiary, general |
| Post-secondary non-tertiary, vocational |
| Short-cycle tertiary education |
| Short-cycle tertiary education, general |
| Short-cycle tertiary education, vocational |
| Bachelor's or equivalent level |
| Bachelor's or equivalent level, academic |
| Bachelor's or equivalent level, professional |
| Short-cycle tertiary and Bachelor's |
| Bachelor's and Master's or equivalent levels |
| Total tertiary excluding doctoral level |
| Bachelor's to doctorate |
| Master's or equivalent level |
| Master's or equivalent level, academic |
| Master's or equivalent level, professional |
| Master's to doctorate |
| Doctoral or equivalent level |
| Total tertiary |
| All levels of education |
| All levels of education + not allocated by level |
| Not allocated by level of education |
| Tertiary-type B |
| Tertiary-type A |
| Tertiary-type A and advanced research programmes |
Age Group
| Early childhood |
| Basic school ages |
| Compulsory school ages |
| 15 year-olds |
| 15-19 year-olds |
| Youths |
| Young adults |
| Adults |
| All ages and age unknown |
Refine the indicator selection after selecting a base theme.
PISA 2018 Results (Volume II): Where All Students Can Succeed
The principle that every person has a fair chance to improve his or her life, whatever his or her personal circumstances, lies at the heart of democratic political and economic institutions. Ensuring that all students have access to the best education opportunities is also a way of using resources effectively, and of improving education and social outcomes in general. Equity does not mean that all students have equal outcomes; rather it means that whatever variations there may be in education outcomes, they are not related to students' background, including socio-economic status, gender or immigrant background. PISA measures equity by whether education outcomes, such as access to schooling, student performance, students' attitudes and beliefs, and students' expectations for their future, are related to student's personal background.
In 11 countries and economies, including the OECD countries Australia, Canada, Denmark, Estonia, Finland, Japan, Korea,
Norway and the United Kingdom, average performance was higher than the OECD average while the relationship between
socio-economic status and reading performance was weaker than the OECD average. In spite of socio-economic disadvantage, some students attain high levels of academic proficiency. On average across OECD
countries, one in ten disadvantaged students was able to score in the top quarter of reading performance in their countries
(known as academic resilience), indicating that disadvantage is not destiny. In Australia, Canada, Estonia, Hong-Kong (China),
Ireland, Macao (China) and the United Kingdom, all of which score above the OECD average, more than 13% of disadvantaged
students were academically resilient. In all countries and economies that participated in PISA 2018, girls significantly outperformed boys in reading - by 30 score
points, on average across OECD countries. The narrowest gender gaps (less than 20 score points) were observed in Argentina,
Beijing, Shanghai, Jiangsu and Zhejiang (China), Chile, Colombia, Costa Rica, Mexico, Panama and Peru; the widest (more than
50 score points) were observed in Finland, Jordan, the Republic of North Macedonia, Qatar, Saudi Arabia and the United Arab
Emirates. Boys outperformed girls - by five score points - in mathematics, on average across OECD countries, but girls outperformed
boys in science by two score points. While boys significantly outperformed girls in mathematics in 31 countries and economies,
in 12 countries/economies the opposite pattern was observed. Only in Argentina, Beijing, Shanghai, Jiangsu and Zhejiang
(China), Colombia, Costa Rica Mexico and Peru did boys significantly outperform girls in science, while the opposite was true in
34 countries and economies. In all countries and economies, girls reported much greater enjoyment of reading than boys. The largest gender gap in
enjoyment of reading was observed in Germany, Hungary and Italy and the smallest in Indonesia and Korea. On average
across OECD countries in 2018, both boys and girls reported significantly less enjoyment of reading than their counterparts
did in 2009. Some 17% of immigrant students scored in the top quarter of reading performance in the country where they sat the PISA test,
on average across OECD countries. In Brunei Darussalam, Jordan, Panama, Qatar, Saudi Arabia and the United Arab Emirates,
more than 30% of immigrant students performed at that level.
| PISA 2018 | PISA 2018 Results (Volume II): Where All Students Can Succeed | Education policies: Gender | Education policies: Socio-economic status | Education policies: Migrant background | PISA 2018 Assessment and Analytical Framework | PISA Glossary | PISA Database |
Select first some countries to compare, choose the chart you wish to display and customise them.
Browser View
Select OECD Countries
| Australia |
| Austria |
| Belgium |
| Belgium (Flanders) |
| Belgium (French) |
| Belgium (excl. Flemish) |
| Canada |
| Alberta (Canada) |
| Canadian provinces |
| Chile |
| Colombia |
| Costa Rica |
| Czech Republic |
| Denmark |
| Estonia |
| Finland |
| France |
| Germany |
| Greece |
| Hungary |
| Iceland |
| Ireland |
| Israel |
| Italy |
| Japan |
| Korea |
| Latvia |
| Lithuania |
| Luxembourg |
| Mexico |
| Netherlands |
| New Zealand |
| Norway |
| Poland |
| Portugal |
| Slovak Republic |
| Slovenia |
| Spain |
| Sweden |
| Switzerland |
| Turkey |
| United Kingdom |
| England (UK) |
| Northern Ireland (UK) |
| United States |
| OECD average |
Non-OECD Countries
| G20 average |
| TALIS average |
| Albania |
| Algeria |
| Argentina |
| Buenos Aires (Argentina) |
| Baku (Azerbaijan) |
| Belarus |
| Bosnia and Herzegovina |
| Brazil |
| Brunei Darussalam |
| Bulgaria |
| China |
| B-S-J-Z (China) |
| Hong Kong (China) |
| Macao (China) |
| Shanghai (China) |
| Chinese Taipei |
| Croatia |
| Dominican Republic |
| Ecuador |
| Egypt |
| Georgia |
| India |
| Indonesia |
| Jordan |
| Kazakhstan |
| Kyrgyz Republic |
| Kosovo |
| Lebanon |
| North Macedonia |
| Malaysia |
| Malta |
| Moldova |
| Montenegro |
| Morocco |
| Panama |
| Peru |
| Philippines |
| Qatar |
| Romania |
| Russian Federation |
| Saudi Arabia |
| Serbia |
| Singapore |
| South Africa |
| Tajikistan |
| Thailand |
| Trinidad and Tobago |
| Tunisia |
| United Arab Emirates |
| Abu Dhabi (UAE) |
| Ukraine |
| Uruguay |
| Viet Nam |
The data table will display up to four selected countries (unselect the OECD average to have one more).
Click the 
for more indicators:
for more indicators:
Click the for more indicators:
for more indicators:
Click the for more indicators:
for more indicators:
Click the for more indicators:
for more indicators:Country Profile quick links
Note: These values should be interpreted with care since they are influenced
by countries' specific contexts and trade-offs. In education, there is often no simple
most- or least-efficient model. For instance, the share of private expenditure in
education must be read against other measures designed to mitigate inequities,
such as loans and grants; longer learning time is an opportunity to convey
more and better content to students, but may hinder investments in other important
areas. If you want further information on the nature of different variables, please
take the time to read the analysis and contextual information, available at the website
for each publication.
The OECD average includes only OECD countries which are listed here: http://www.oecd.org/about/membersandpartners/
Reference years displayed in the Education GPS correspond to the most common year of reference among countries for which data is available on each variable. Some countries may have provided data refering to another year, to know more about possible exceptions on data please click on the "Download Indicator" link on each variable. When a year of reference corresponds to a school year encompassing two years, the reference reads as follows: 2018 for school year 2017/2018.
*TALIS averages are based on all countries participating in the TALIS survey, including partner countries and economies. This explains the difference between the OECD average and the TALIS average. Data from the TALIS survey and Education at a Glance (EAG) may differ. See Annex E of the TALIS technical report and Annex 3 of EAG 2019 for more details about the data collections.
B-S-J-Z (China) refers to the four PISA-participating provinces/municipalities of the People's Republic of China: Beijing, Shanghai, Jiangsu and Zhejiang.
For additional notes, please refer to annexes in the list of links below the introductory text.
The OECD average includes only OECD countries which are listed here: http://www.oecd.org/about/membersandpartners/
Reference years displayed in the Education GPS correspond to the most common year of reference among countries for which data is available on each variable. Some countries may have provided data refering to another year, to know more about possible exceptions on data please click on the "Download Indicator" link on each variable. When a year of reference corresponds to a school year encompassing two years, the reference reads as follows: 2018 for school year 2017/2018.
*TALIS averages are based on all countries participating in the TALIS survey, including partner countries and economies. This explains the difference between the OECD average and the TALIS average. Data from the TALIS survey and Education at a Glance (EAG) may differ. See Annex E of the TALIS technical report and Annex 3 of EAG 2019 for more details about the data collections.
B-S-J-Z (China) refers to the four PISA-participating provinces/municipalities of the People's Republic of China: Beijing, Shanghai, Jiangsu and Zhejiang.
For additional notes, please refer to annexes in the list of links below the introductory text.