******* was the European country with the highest share of graduates in 2024, with almost **** of those aged between 15 and 64 having a degree. On the contrary, only ** percent of the population aged 15 to 64 in ********************** hold a tertiary education title.
Around ** percent of Europeans held an upper secondary school title in 2024. Figures ranged from ** percent of people residing in Czechia to only ** percent of Spaniards. About ********* of EU citizens had a primary school title only, while this was the case for ************** of the Turkish population. As far as tertiary education, ** percent of the Irish population held a bachelor's or higher degree, compared to only ** percent of those living in Bosnia and Herzegovina.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The average for 2022 based on 26 countries was 80.28 percent. The highest value was in Greece: 166.67 percent and the lowest value was in Luxembourg: 21.03 percent. The indicator is available from 1970 to 2023. Below is a chart for all countries where data are available.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The folder 'population by educational attainment level (edat1)' presents data on the highest level of education successfully completed by the individuals of a given population.
The folder 'transition from education to work (edatt)' covers data on young people neither in employment nor in education and training – NEET, early leavers from education and training and the labour status of young people by years since completion of highest level of education.
The data shown are calculated as annual averages of quarterly EU Labour Force Survey data (EU-LFS).
Up to the reference year 2008, the data source (EU-LFS) is, where necessary, adjusted and enriched in various ways, in accordance with the specificities of an indicator, including the following:
Details on the adjustments are available in CIRCABC.
The adjustments are applied in the following online tables:
- Population by educational attainment level, sex and age (%) - main indicators (edat_lfse_03)
- Population by educational attainment level, sex and NUTS 2 regions (%) (edat_lfse_04)
(Other tables shown in the folder 'population by educational attainment level (edat1)' are not adjusted and therefore the results in these tables might differ).
LFS ad-hoc module data available in the folder 'transition from education to work (edatt)' are not adjusted.
The folder 'young people by educational and labour status (incl. neither in employment nor in education and training - NEET) (edatt0)' also presents one table with quarterly NEET data (lfsi_neet_q). Deviating from the NEET indicator calculation as provided in 3.4, the denominator in this table with quarterly data is the total population of the same age group and sex which explains differences in results. For further information, see the ESMS on 'LFS main indicators'.
Ireland and Luxembourg were the European countries with the highest share of graduates aged 30 to 34 in 2024, with two thirds of people in this age group having a degree. Countries such as Italy, Bosnia, and Romania had the lowest share of graduates in this age group at 30.7, 28.2, and 23.6 percent respectively.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education.
For a general technical description of the UOE Data Collection see UNESCO OECD Eurostat (UOE) joint data collection – methodology - Statistics Explained (europa.eu).
The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection:
The following topics are covered:
Data on enrolments in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally, the following types of indicators on enrolments are calculated (all indicators using population data use Eurostat’s population database (demo_pjan)):
Data on entrants in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally the following indicator on entrants is calculated:
Data on learning mobility is available for degree mobile students, degree mobile graduates and credit mobile graduates. Degree mobility means that students/graduates are/were enrolled as regular students in any semester/term of a programme taught in the country of destination with the intention of graduating from it in the country of destination. Credit mobility is defined as temporary tertiary education or/and study-related traineeship abroad within the framework of enrolment in a tertiary education programme at a "home institution" (usually) for the purpose of gaining academic credit (i.e. credit that will be recognised in that home institution). Further definitions are in Section 2.8 of the UOE manual.
Degree mobile students are referred to as just ‘mobile students’ in UOE learning mobility tables. Data is disseminated for degree mobile students and degree mobile graduates in absolute numbers with breakdowns available for the following dimensions:
Additionally the following types of indicators on degree mobile students and degree mobile graduates are calculated ((all indicators using population data use Eurostat’s population database (demo_pjan)):
For credit mobile graduates, data are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Data on personnel in education are available for classroom teachers/academic staff, teacher aides and school-management personnel. Teachers are employed in a professional capacity to guide and direct the learning experiences of students, irrespective of their training, qualifications or delivery mechanism. Teacher aides support teachers in providing instruction to students. Academic staff are personnel employed at the tertiary level of education whose primary assignment is instruction and/or research. School management personnel covers professional personnel who are responsible for school management/administration (ISCED 0-4) or whose primary or major responsibility is the management of the institution, or a recognised department or subdivision of the institution (tertiary levels). Full definitions of these statistical units are in Section 3.5 of the UOE manual.
Data are disseminated on teachers and academic staff in absolute numbers, with breakdowns available for the following dimensions:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
School enrollment, tertiary (% gross) in European Union was reported at 79.73 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. European Union - School enrollment, tertiary (% gross) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.
In 2024, Lithuania had the highest rate of university-educated immigrants from EU member states among Central and Eastern European countries. Nearly ** percent of EU citizens in Lithuania had graduated. In addition, the highest share of non-EU immigrants with tertiary education in CEE was recorded in ********************.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education.
For a general technical description of the UOE Data Collection see UNESCO OECD Eurostat (UOE) joint data collection – methodology - Statistics Explained (europa.eu).
The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection:
The following topics are covered:
Data on enrolments in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally, the following types of indicators on enrolments are calculated (all indicators using population data use Eurostat’s population database (demo_pjan)):
Data on entrants in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally the following indicator on entrants is calculated:
Data on learning mobility is available for degree mobile students, degree mobile graduates and credit mobile graduates. Degree mobility means that students/graduates are/were enrolled as regular students in any semester/term of a programme taught in the country of destination with the intention of graduating from it in the country of destination. Credit mobility is defined as temporary tertiary education or/and study-related traineeship abroad within the framework of enrolment in a tertiary education programme at a "home institution" (usually) for the purpose of gaining academic credit (i.e. credit that will be recognised in that home institution). Further definitions are in Section 2.8 of the UOE manual.
Degree mobile students are referred to as just ‘mobile students’ in UOE learning mobility tables. Data is disseminated for degree mobile students and degree mobile graduates in absolute numbers with breakdowns available for the following dimensions:
Additionally the following types of indicators on degree mobile students and degree mobile graduates are calculated ((all indicators using population data use Eurostat’s population database (demo_pjan)):
For credit mobile graduates, data are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Data on personnel in education are available for classroom teachers/academic staff, teacher aides and school-management personnel. Teachers are employed in a professional capacity to guide and direct the learning experiences of students, irrespective of their training, qualifications or delivery mechanism. Teacher aides support teachers in providing instruction to students. Academic staff are personnel employed at the tertiary level of education whose primary assignment is instruction and/or research. School management personnel covers professional personnel who are responsible for school management/administration (ISCED 0-4) or whose primary or major responsibility is the management of the institution, or a recognised department or subdivision of the institution (tertiary levels). Full definitions of these statistical units are in Section 3.5 of the UOE manual.
Data are disseminated on teachers and academic staff in absolute numbers, with breakdowns available for the following dimensions:
This section presents statistical information on the educational variables that are collected in the Labour Force Survey of the National Institute of Statistics, as well as in the Community Labour Force Survey (Eurostat). The indicators of the strategic framework for European cooperation in education and training (2021-2030) that derive from these sources are highlighted. The information is presented disaggregated by autonomous community and by country of the European Union, according to the source used, and with temporary developments since 2002.Line break The results are obtained as annual averages of quarterly data, so the information is updated annually, as the four quarters of the EPA are available, as well as the results derived from the Community survey of Eurostat. From the 2014 results of the EPA, the new National Classification of Education, CNED-2014, based on the International Standard Classification of Education, ISCED-2011, applied in the LFS, is applied; and from 2016, the update of the sectors/fields of study of both classifications (CNED-F and ISCED-F) is applied. These changes in the rankings represent a series break for some of the tables, as indicated in the accompanying notes.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for ENROLMENT IN TERTIARY EDUCATION PER 100 000 INHABITANTS MALE WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education.
For a general technical description of the UOE Data Collection see UNESCO OECD Eurostat (UOE) joint data collection – methodology - Statistics Explained (europa.eu).
The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection:
The following topics are covered:
Data on enrolments in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally, the following types of indicators on enrolments are calculated (all indicators using population data use Eurostat’s population database (demo_pjan)):
Data on entrants in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally the following indicator on entrants is calculated:
Data on learning mobility is available for degree mobile students, degree mobile graduates and credit mobile graduates. Degree mobility means that students/graduates are/were enrolled as regular students in any semester/term of a programme taught in the country of destination with the intention of graduating from it in the country of destination. Credit mobility is defined as temporary tertiary education or/and study-related traineeship abroad within the framework of enrolment in a tertiary education programme at a "home institution" (usually) for the purpose of gaining academic credit (i.e. credit that will be recognised in that home institution). Further definitions are in Section 2.8 of the UOE manual.
Degree mobile students are referred to as just ‘mobile students’ in UOE learning mobility tables. Data is disseminated for degree mobile students and degree mobile graduates in absolute numbers with breakdowns available for the following dimensions:
Additionally the following types of indicators on degree mobile students and degree mobile graduates are calculated ((all indicators using population data use Eurostat’s population database (demo_pjan)):
For credit mobile graduates, data are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Data on personnel in education are available for classroom teachers/academic staff, teacher aides and school-management personnel. Teachers are employed in a professional capacity to guide and direct the learning experiences of students, irrespective of their training, qualifications or delivery mechanism. Teacher aides support teachers in providing instruction to students. Academic staff are personnel employed at the tertiary level of education whose primary assignment is instruction and/or research. School management personnel covers professional personnel who are responsible for school management/administration (ISCED 0-4) or whose primary or major responsibility is the management of the institution, or a recognised department or subdivision of the institution (tertiary levels). Full definitions of these statistical units are in Section 3.5 of the UOE manual.
Data are disseminated on teachers and academic staff in absolute numbers, with breakdowns available for the following dimensions:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education.
For a general technical description of the UOE Data Collection see UNESCO OECD Eurostat (UOE) joint data collection – methodology - Statistics Explained (europa.eu).
The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection:
The following topics are covered:
Data on enrolments in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally, the following types of indicators on enrolments are calculated (all indicators using population data use Eurostat’s population database (demo_pjan)):
Data on entrants in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally the following indicator on entrants is calculated:
Data on learning mobility is available for degree mobile students, degree mobile graduates and credit mobile graduates. Degree mobility means that students/graduates are/were enrolled as regular students in any semester/term of a programme taught in the country of destination with the intention of graduating from it in the country of destination. Credit mobility is defined as temporary tertiary education or/and study-related traineeship abroad within the framework of enrolment in a tertiary education programme at a "home institution" (usually) for the purpose of gaining academic credit (i.e. credit that will be recognised in that home institution). Further definitions are in Section 2.8 of the UOE manual.
Degree mobile students are referred to as just ‘mobile students’ in UOE learning mobility tables. Data is disseminated for degree mobile students and degree mobile graduates in absolute numbers with breakdowns available for the following dimensions:
Additionally the following types of indicators on degree mobile students and degree mobile graduates are calculated ((all indicators using population data use Eurostat’s population database (demo_pjan)):
For credit mobile graduates, data are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Data on personnel in education are available for classroom teachers/academic staff, teacher aides and school-management personnel. Teachers are employed in a professional capacity to guide and direct the learning experiences of students, irrespective of their training, qualifications or delivery mechanism. Teacher aides support teachers in providing instruction to students. Academic staff are personnel employed at the tertiary level of education whose primary assignment is instruction and/or research. School management personnel covers professional personnel who are responsible for school management/administration (ISCED 0-4) or whose primary or major responsibility is the management of the institution, or a recognised department or subdivision of the institution (tertiary levels). Full definitions of these statistical units are in Section 3.5 of the UOE manual.
Data are disseminated on teachers and academic staff in absolute numbers, with breakdowns available for the following dimensions:
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
Revenue in the Higher Education industry in Europe is anticipated to expand at a compound annual rate of 0.7% to €148.2 billion over the five years through 2025, with a 0.2% rise in revenue in 2025. Higher education remains an extremely popular option for school leavers, which supports the demand for places. Institutions rely heavily on individual government funding, with donations and student contributions making up the rest. There is a growing number of students across Europe, with 18.8 million students in higher education last reported by the European Commission in 2022. The increasing student population boosted demand for higher education places, supporting enrollment in universities across Europe and improving revenue figures. The COVID-19 outbreak severely hindered European higher education operations in 2020 and 2021. With most face-to-face teaching switched to online teaching, universities had to invest heavily in the equipment and online education tools to keep courses running remotely while reimbursing accommodation fees, which cut into profit. Enrolments in universities throughout Europe have surged since 2021 due to people deferring during the outbreak, uncertainty over hiring chances in the job market and EU targets to increase university uptake by 2030. Revenue is expected to grow at a compound annual rate of 0.7% to €153.4 billion over the five years through 2030. Governments throughout Europe are targeting greater enrolment in higher education since many countries are facing a growing skill gap in their labour markets. A growing demand for specific skills in the labour market will encourage attendance at higher education colleges, boosting revenue.
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
European Post-Secondary Non-Tertiary Education HICP by Country, 2022 Discover more data with ReportLinker!
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
European Household Expenditure on Tertiary Education by Country, 2023 Discover more data with ReportLinker!
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The average for 2022 based on 40 countries was 1.24 percent. The highest value was in Iceland: 1.51 percent and the lowest value was in San Marino: 0.84 percent. The indicator is available from 1970 to 2023. Below is a chart for all countries where data are available.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This domain covers statistics and indicators on key aspects of the education systems across Europe. The data show entrants and enrolments in education levels, education personnel and the cost and type of resources dedicated to education.
For a general technical description of the UOE Data Collection see UNESCO OECD Eurostat (UOE) joint data collection – methodology - Statistics Explained (europa.eu).
The standards on international statistics on education and training systems are set by the three international organisations jointly administering the annual UOE data collection:
The following topics are covered:
Data on enrolments in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally, the following types of indicators on enrolments are calculated (all indicators using population data use Eurostat’s population database (demo_pjan)):
Data on entrants in education are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Additionally the following indicator on entrants is calculated:
Data on learning mobility is available for degree mobile students, degree mobile graduates and credit mobile graduates. Degree mobility means that students/graduates are/were enrolled as regular students in any semester/term of a programme taught in the country of destination with the intention of graduating from it in the country of destination. Credit mobility is defined as temporary tertiary education or/and study-related traineeship abroad within the framework of enrolment in a tertiary education programme at a "home institution" (usually) for the purpose of gaining academic credit (i.e. credit that will be recognised in that home institution). Further definitions are in Section 2.8 of the UOE manual.
Degree mobile students are referred to as just ‘mobile students’ in UOE learning mobility tables. Data is disseminated for degree mobile students and degree mobile graduates in absolute numbers with breakdowns available for the following dimensions:
Additionally the following types of indicators on degree mobile students and degree mobile graduates are calculated ((all indicators using population data use Eurostat’s population database (demo_pjan)):
For credit mobile graduates, data are disseminated in absolute numbers, with breakdowns available for the following dimensions:
Data on personnel in education are available for classroom teachers/academic staff, teacher aides and school-management personnel. Teachers are employed in a professional capacity to guide and direct the learning experiences of students, irrespective of their training, qualifications or delivery mechanism. Teacher aides support teachers in providing instruction to students. Academic staff are personnel employed at the tertiary level of education whose primary assignment is instruction and/or research. School management personnel covers professional personnel who are responsible for school management/administration (ISCED 0-4) or whose primary or major responsibility is the management of the institution, or a recognised department or subdivision of the institution (tertiary levels). Full definitions of these statistical units are in Section 3.5 of the UOE manual.
Data are disseminated on teachers and academic staff in absolute numbers, with breakdowns available for the following dimensions:
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset provides values for GOVERNMENT EXPENDITURE ON TERTIARY EDUCATION AS PERCENT OF GDP WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.
Lithuania had the largest share of the population with tertiary education in the age group of 25 to 34 years among the countries in Central and Eastern Europe (CEE), at over 58 percent in 2022. It was followed by Slovenia and Latvia. In the age group from 55 to 64 years, the largest share was recorded in Estonia, while the lowest was in Romania at around 10 percent.
******* was the European country with the highest share of graduates in 2024, with almost **** of those aged between 15 and 64 having a degree. On the contrary, only ** percent of the population aged 15 to 64 in ********************** hold a tertiary education title.