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 2022 (EAG 2022): Highlights |
| EAG 2022, Chapter A: The output of educational institutions and the impact of learning |
| EAG 2022, Chapter B: Access to education, participation and progression |
| EAG 2022, Chapter C: Financial resources invested in education |
| EAG 2022, Chapter D: Teachers, learning environment and organisation of schools |
| TALIS 2018: Highlight indicators |
| TALIS 2018 (Volume I): Teachers and School Leaders as Lifelong Learners |
| TALIS 2018 (Volume II): Teachers and School Leaders as Valued Professionals |
| TALIS 2018 (results for primary and upper secondary) |
| 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? |
| PISA 2018: Are Students Ready To Take On Environmental Challenges? |
| Survey of Adult Skills (PIAAC): Full selection of indicators |
| Access & Participation |
| Organisation & Governance |
| Finance & Funding |
| Learning environment |
| Students' Well-Being |
| Teachers |
| School leadership |
| Evaluation & Quality assurance |
| Equity |
| Gender |
| Digital divide |
| Special needs |
| Socio-economic status |
| Migrant background |
| Economic & Social outcomes |
| Internationalisation |
| Research & Innovation |
| Trends shaping education |
| Attainment |
| Skills |
| Low performers |
| Computers, education & skills |
| Early childhood education & care |
| Vocational education & training (VET) |
| Tertiary education |
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 |
| Pre-primary to tertiary education |
| 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 |
| Lower secondary to post-secondary non-tertiary, general programmes |
| Lower secondary to post-secondary non-tertiary, vocational programmes |
| 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 academic level, long first degree |
| Master's or equivalent level, academic |
| Master's or equivalent level, professional |
| Master's to doctorate |
| Doctoral or equivalent level |
| Total tertiary |
| Lower secondary to tertiary, general programmes |
| Lower secondary to tertiary, vocational programmes |
| Total tertiary education, academic programmes |
| Total tertiary education, professional programmes |
| 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.
Gender
In reading, 15 year-old girls outperform boys in every country participating in PISA 2018 (OECD average: 30 PISA score points difference). By contrast, boys tend to outperform girls in mathematics in most countries (OECD average: 5 PISA score points difference). In reading, the socio-economic environment plays a role in narrowing the gender gap especially for boys. At older ages, gender differences in literacy are not significant, suggesting that men acquire these skills later through life experience. Even though gender differences in science performance tend to be small, on average, in 33 countries and economies, the share of top performers in science is larger among boys than among girls. Finland is the only country in which girls are more likely to be top performers than boys. At the same time, in most countries, boys and girls are equally able to complete the easiest science tasks in the PISA test. In all PISA 2018 participating countries, 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. On the other hand, girls report worrying about math classes being hard for them more often than boys do (65% and 54% on average, respectively). The share of girls who report not being good in math is also larger (48%) than boys (37%), on average. In almost all countries, boys see themselves as becoming ICT professionals, scientists or engineers more than girls do. These gender differences are also patent among graduates from tertiary education. In 2020, women outnumber men among new entrants to short-cycle tertiary, bachelor's programmes and master's long first degrees. However, there are stark differences across fields of study: women are under-represented in engineering, manufacturing and construction but over-represented in health and welfare. However, doctoral level is the only level of education where women represent less than 50% of entrants on average across the OECD. One of the reasons for the higher share of men is the predominance of STEM-related fields of study at doctoral level. In four out of the ten countries where men outnumber women among new entrants, at least 50% of doctoral students entered a STEM-related field. The gender gap in earnings persists across all levels of educational attainment, and the gap is wider among tertiary-educated adults. Across OECD countries, tertiary-educated women earn only 76% as much as tertiary-educated men. This gender gap of 24% in earnings for tertiary-educated adults is higher than the gender gap for adults with below upper secondary (23%) and adults with upper secondary or post-secondary non-tertiary education (22%).
| Education policies: Gender | Education at a Glance 2022 (EAG 2022): OECD Indicators | Education at a Glance 2019 (EAG 2019): OECD Indicators | PISA 2015 Results (Volume V): Collaborative Problem Solving | PISA 2015 Results (Volume I): Excellence and Equity in Education | The ABC of Gender Equality in Education: Aptitude, Behaviour, Confidence | What Lies Behind Gender Inequality in Education? | How Are Girls Doing in School - and Women Doing in Employment - Around the World? | Survey of Adult Skills (PIAAC) | Teaching and Learning International Survey (TALIS) | OECD Gender portal |
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 |
| Türkiye |
| United Kingdom |
| England (UK) |
| Northern Ireland (UK) |
| United States |
| OECD average |
Non-OECD Countries
| G20 average |
| TALIS average |
| TALIS avg. primary education |
| TALIS avg. upper secondary education |
| Albania |
| Algeria |
| Argentina |
| Buenos Aires (Argentina) |
| Azerbaijan |
| Baku (Azerbaijan) |
| 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 |
| 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 2021 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 2021 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.