Country
Data profiles:
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2012) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, lower and upper secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary to upper secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary and lower secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2015) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary and lower secondary education (TALIS 2018) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary and lower secondary education (TALIS 2018) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2018) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, lower and upper secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2015) |
Teachers and teaching conditions, lower and upper secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary and lower secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary to upper secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2015) |
Teachers and teaching conditions, primary to upper secondary education (TALIS 2018) |
ECEC staff, leaders and their working conditions (Starting Strong Survey 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, primary and lower secondary education (TALIS 2018) |
Adult skills (Survey of Adult Skills, PIAAC, 2012) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Teachers and teaching conditions (TALIS 2018) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions, primary and lower secondary education (TALIS 2018) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions, lower and upper secondary education (TALIS 2018) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Teachers and teaching conditions, primary to upper secondary education (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions, lower and upper secondary education (TALIS 2018) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2018) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2018) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2018) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Student performance (PISA 2022) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Adult skills (Survey of Adult Skills, PIAAC, 2023) |
Teachers and teaching conditions (TALIS 2018) |
Overview of the education system (EAG 2024) |
Teachers and teaching conditions (TALIS 2018) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Teachers and teaching conditions, primary to upper secondary education (TALIS 2018) |
Student performance in 18 out of 27 regions (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Student performance (PISA 2022) |
Teachers and teaching conditions, primary to upper secondary education (TALIS 2018) |
Profile View
Select first some countries to compare, choose the charts you wish to display and customise them.
Attainment
The level of upper secondary and post-secondary non-tertiary attainment among 25-34 year-olds is one of the highest among OECD and partner countries with available data. (57.2 %, rank 3/45 , 2023) Download Indicator
The level of upper secondary and post-secondary non-tertiary attainment among 25-64 year-olds is one of the highest among OECD and partner countries with available data. (57.5 %, rank 4/46 , 2023) Download Indicator
The level of upper secondary or post-secondary non-tertiary education attainment among 55-64 year-olds is one of the highest among OECD and partner countries with available data. (62.4 %, rank 5/45 , 2023) Download Indicator
The proportion of 25-34 year-olds who have attained a vocational degree at the upper secondary or post-secondary level is one of the highest among OECD and partner countries with available data. (38.1 %, rank 5/36 , 2023) Download Indicator
In Hungary, the share of 25-34 year-olds who attained a bachelor's or equivalent tertiary education degree is one of the lowest among countries with available data. (9.7 %, rank 44/45 , 2023) Download Indicator
Attainment by gender
The proportion of 25-34 year-old men who have attained tertiary education is one of the lowest among OECD and partner countries with available data. (23.2 %, rank 42/46 , 2023) Download Indicator
The share of 25-34 year-old men with vocational upper secondary or post-secondary non-tertiary education in Hungary is one of the highest among countries with available data. (45.9 %, rank 5/36 , 2023) Download Indicator
Entrance by field of education and gender
The share of female who enter tertiary education in the field of information and communication technologies (ICTs) is one of the smallest among OECD and partner countries with available data. (15.2 %, rank 34/38 , 2022) Download Indicator
In Hungary, the share of female among new entrants in doctoral programmes enrolled in the field of health and welfare is relatively small. (56 %, rank 31/35 , 2022) Download Indicator
In Hungary,the share of male among new entrants in doctoral programmes enrolled in the field of engineering, manufacturing and construction is relatively small. (58.8 %, rank 37/37 , 2022) Download Indicator
In Hungary, the share of women among new entrants in bachelor's programmes in the field of information and communication technologies is one of the smallest among OECD and partner countries with available data. (14 %, rank 35/39 , 2022) Download Indicator
In Hungary, the share of women among new entrants in bachelor's programmes in the field of science, technology, engineering and mathematics is one of the smallest among OECD and partner countries with available data. (23.6 %, rank 36/40 , 2022) Download Indicator
In Hungary, the share of men among new entrants in bachelor's programmes in the field of education is one of the smallest among OECD and partner countries with available data. (7.3 %, rank 38/40 , 2022) Download Indicator
The share of male students entering short-cycle tertiary programmes in health and welfare in Hungary is one of the smallest compared to other OECD countries and partner economies. (13.2 %, rank 25/29 , 2022) Download Indicator
Participation in education
The percentage of students in independent private tertiary educational institutions is one of the highest among OECD and partner countries with available data. (67.7 %, rank 5/34 , 2022) Download Indicator
The share of students enrolled in school- and work-based programmes among all upper secondary students enrolled in vocational programmes is one of the largest among OECD and partner countries with available data. (100 %, rank 1/24 , 2022) Download Indicator
The enrolment rate of students aged 17 in post-secondary non-tertiary programmes in Hungary is one of the highest among OECD and partner countries with available data. (0.6 %, rank 5/32 , 2022) Download Indicator
The enrolment rate of students aged 18 in post-secondary non-tertiary programmes in Hungary is one of the highest among OECD and partner countries with available data. (4.2 %, rank 3/32 , 2022) Download Indicator
The enrolment rate of students aged 19 in post-secondary non-tertiary programmes in Hungary is one of the highest among OECD and partner countries with available data. (15.2 %, rank 1/32 , 2022) Download Indicator
The enrolment rate of students aged 20 in post-secondary non-tertiary programmes in Hungary is one of the highest among OECD and partner countries with available data. (8.9 %, rank 4/31 , 2022) Download Indicator
(100 %, rank 1/30 , 2022) Download Indicator
The average age of post-secondary non-tertiary students enrolled in vocational programmes in Hungary is among the lowest. (24.7 %, rank 26/27 , 2022) Download Indicator
(100 %, rank 1/17 , 2022) Download Indicator
The share of vocational students as a share of short-cycle tertiary students is among the largest in all OECD and partner countries. (100 %, rank 1/34 , 2022) Download Indicator
The enrolment rate among students aged 15-19 in post-secondary non-tertiary programmes in Hungary is one of the highest among OECD and partner countries with available data. (4.3 %, rank 3/32 , 2022) Download Indicator
Graduation
In Hungary, the average age of post-secondary non-tertiary graduates from vocational programmes is one of the lowest among OECD and partner countries with available data (22.8 Years, rank 24/25 , 2022) Download Indicator
In Hungary, the percentage of master's or equivalent graduates in public institutions is one of the smallest among OECD and partner countries with available data. (27.6 %, rank 33/37 , 2022) Download Indicator
The share of long first degree master's graduates in public institutions is relatively low in Hungary. (17.2 %, rank 24/25 , 2022) Download Indicator
The share of doctorate graduates in public institutions is relatively low in Hungary. (26.3 %, rank 37/38 , 2022) Download Indicator
The average age of short-cycle tertiary graduates in Hungary is among the youngest. (23.7 Years, rank 22/25 , 2022) Download Indicator
The average age of master's or equivalent graduates in Hungary is among the youngest. (25.2 Years, rank 20/24 , 2022) Download Indicator
Graduation by gender
The share of female graduates from upper secondary general programmes is one of the smallest among OECD countries and partner economies with available data. (47.1 %, rank 42/43 , 2022) Download Indicator
The share of female graduates from upper secondary vocational programmes is one of the smallest among OECD countries and partner economies with available data. (33 %, rank 40/41 , 2022) Download Indicator
In Hungary, the share of female first-time bachelor's graduates is one of the smallest among OECD countries and partner economies with available data. (54.4 %, rank 30/34 , 2022) Download Indicator
Graduation by field of education
The percentage of tertiary graduates in the field of health and welfare is one of the lowest among OECD and partner countries with available data. (8.8 %, rank 39/42 , 2022) Download Indicator
The share of doctoral graduates in the field of engineering, manufacturing and construction in Hungary is relatively small. (9.5 %, rank 39/42 , 2022) Download Indicator
In Hungary, the proportion of upper secondary vocational graduates in the field of engineering, manufacturing and construction is one of the highest among OECD and partner countries with available data. (57.3 %, rank 1/36 , 2022) Download Indicator
In Hungary, the share of short-cycle tertiary vocational graduates in the field of business, administration and law is relatively high compared to other OECD countries and partner economies with available data. (65.6 %, rank 1/37 , 2022) Download Indicator
In Hungary, the proportion of bachelor's, master's and doctoral or equivalent graduates in the field of health and welfare is one of the lowest among OECD and partner countries with available data. (9.2 %, rank 41/45 , 2022) Download Indicator
Graduation by field of education and gender
The proportion of female tertiary graduates in health and welfare is one of the lowest among OECD and partner countries. (10.7 %, rank 40/42 , 2022) Download Indicator
Fields of education
In Hungary, the share of new entrants in short-cycle tertiary programmes in the field of engineering, manufacturing and construction is relatively small. (6.1 %, rank 30/33 , 2022) Download Indicator
In Hungary, the percentage of new entrants to doctoral programmes in the field of arts and humanities is relatively high, compared to other countries with available data. (17.7 %, rank 1/37 , 2022) Download Indicator
In Hungary, the percentage of new entrants to doctoral programmes in the field of engineering, manufacturing and construction is relatively low, compared to other countries with available data. (9 %, rank 35/37 , 2022) Download Indicator
Student mobility by field of education
In Hungary, the percentage of international doctoral graduates in the field of social sciences, journalism and information is one of the highest among OECD and partner countries with available data. (18.5 %, rank 3/38 , 2022) Download Indicator
Expenditure per student
Expenditure per student for core educational services on primary, secondary and post-secondary non-tertiary education in Hungary is comparatively low. (7382 USD Equivalent, rank 24/27 , 2021) Download Indicator
Expenditure per student for core educational services on tertiary education in Hungary is comparatively high. (19306 USD Equivalent, rank 3/26 , 2021) Download Indicator
Expenditure per student on research and development for primary to tertiary education in Hungary is comparatively low. (598 USD Equivalent, rank 29/33 , 2021) Download Indicator
Expenditure in education and national wealth
In Hungary, expenditure on post secondary non-tertiary educational institutions as a percentage of GDP is comparatively high. (0.1 %, rank 4/20 , 2021) Download Indicator
In Hungary, public and private expenditure on primary, secondary and post-secondary non-tertiary educational institutions as a percentage of GDP is comparatively low. (2.5 %, rank 32/36 , 2021) Download Indicator
In Hungary, public expenditure on educational institutions as a percentage of GDP on primary, secondary and post-secondary non-tertiary education from final source of funds is relatively low. (2.2 %, rank 38/41 , 2021) Download Indicator
In Hungary, international expenditure on educational institutions as a percentage of GDP on primary, secondary and post-secondary non-tertiary education from final source of funds is relatively high. (0 %, rank 4/33 , 2021) Download Indicator
Government and private expenditure in education
In Hungary, total public expenditure on primary through tertiary educational institutions as a percentage of total public expenditure is comparatively low. (7.4 %, rank 38/42 , 2021) Download Indicator
In Hungary, total public expenditure on primary educational institutions as a percentage of total public expenditure is comparatively low. (1.5 %, rank 41/43 , 2021) Download Indicator
In Hungary, total public expenditure on post-secondary non-tertiary educational institutions as a percentage of total public expenditure is comparatively high. (0.2 %, rank 5/22 , 2021) Download Indicator
Total public expenditure on education as a percentage of total government expenditure, for primary, secondary and post-secondary non-tertiary education is relatively low in Hungary compared to OECD and partner countries with available data. (4.6 %, rank 41/42 , 2021) Download Indicator
Nature of expenditure
In Hungary, the share of capital expenditure on primary through tertiary is one of the largest among OECD and partner countries with available data. (13.1 %, rank 2/33 , 2021) Download Indicator
In Hungary, the share of current expenditure on primary through tertiary education is one of the smallest among OECD and partner countries with available data. (86.9 %, rank 32/33 , 2021) Download Indicator
In Hungary, the share of capital expenditure on tertiary education is one of the largest among OECD and partner countries with available data. (22.7 %, rank 1/34 , 2021) Download Indicator
In Hungary, the share of current expenditure on tertiary education is one of the smallest among OECD and partner countries with available data. (77.3 %, rank 34/34 , 2021) Download Indicator
Who the teachers are
The share of women among teaching staff in pre-primary education is one of the largest among OECD and partner countries with available data. (99.4 %, rank 4/42 , 2022) Download Indicator
The share of women among teaching staff in primary education is one of the largest among OECD and partner countries with available data. (95.3 %, rank 2/45 , 2022) Download Indicator
The percentage of teachers aged 50 or more in pre-primary education is especially high in Hungary (40.4 %, rank 5/37 , 2022) Download Indicator
Teachers' salaries
After 15 years of experience, a lower secondary teacher with minimum qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25084 USD Equivalent, rank 34/35 , 2023) Download Indicator
After 15 years of experience, an upper secondary teacher with minimum qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25884 USD Equivalent, rank 34/35 , 2023) Download Indicator
After 15 years of experience, a pre-primary teacher with minimum qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25084 USD Equivalent, rank 27/28 , 2023) Download Indicator
After 15 years of experience, a primary teacher with minimum qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25084 USD Equivalent, rank 34/35 , 2023) Download Indicator
The ratio of pre-primary teachers' salaries to earnings of full-time, full-year workers with tertiary education is one of the lowest among OECD and partner countries with available data. (0.47 Ratio, rank 13/13 , 2023) Download Indicator
The ratio of primary teachers' salaries to earnings of full-time, full-year workers with tertiary education is one of the lowest among OECD and partner countries with available data. (0.49 Ratio, rank 17/17 , 2023) Download Indicator
The ratio of lower secondary teachers' salaries to earnings of full-time, full-year workers with tertiary education is one of the lowest among OECD and partner countries with available data. (0.49 Ratio, rank 17/17 , 2023) Download Indicator
The ratio of upper secondary teachers' salaries to earnings of full-time, full-year workers with tertiary education is one of the lowest among OECD and partner countries with available data. (0.53 Ratio, rank 17/17 , 2023) Download Indicator
In Hungary, the change in statutory upper secondary education teachers' salaries with 15 years of experience, based on most prevalent qualifications at different points in teachers' careers is relatively small. (91 Index, rank 27/31 , 2023) Download Indicator
After 15 years of experience, an upper secondary teacher can expect to have one of the lowest salaries per hour of net teaching time among OECD and partner countries with available data. (40 USD Equivalent, rank 30/32 , 2023) Download Indicator
After 15 years of experience, a primary teacher can expect to have one of the lowest salaries per hour of net teaching time among OECD and partner countries with available data. (38 USD Equivalent, rank 31/33 , 2023) Download Indicator
After 15 years of experience, a lower secondary teacher can expect to have one of the lowest salaries per hour of net teaching time among OECD and partner countries with available data. (38 USD Equivalent, rank 31/33 , 2023) Download Indicator
The average actual pre-primary teacher's salary among teachers aged between 25-64 is one of the lowest per hour of net teaching time among OECD and partner countries with available data. (30145 USD Equivalent, rank 15/18 , 2023) Download Indicator
The average actual primary teacher's salary among teachers aged between 25-64 is one of the lowest per hour of net teaching time among OECD and partner countries with available data. (31407 USD Equivalent, rank 22/23 , 2023) Download Indicator
The average actual lower secondary teacher's salary among teachers aged between 25-64 is one of the lowest per hour of net teaching time among OECD and partner countries with available data. (31407 USD Equivalent, rank 23/23 , 2023) Download Indicator
The average actual upper secondary teacher's salary among teachers aged between 25-64 is one of the lowest per hour of net teaching time among OECD and partner countries with available data. (33632 USD Equivalent, rank 22/23 , 2023) Download Indicator
After 15 years of experience, a lower secondary teacher with typical qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25084 USD Equivalent, rank 34/35 , 2023) Download Indicator
After 15 years of experience, an upper secondary teacher with typical qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25884 USD Equivalent, rank 34/35 , 2023) Download Indicator
After 15 years of experience, a pre-primary teacher with typical qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25084 USD Equivalent, rank 27/28 , 2023) Download Indicator
After 15 years of experience, a primary teacher with typical qualification can expect to have one of the lowest salaries among OECD and partner countries with available data. (25084 USD Equivalent, rank 34/35 , 2023) Download Indicator
After 15 years of experience, a pre-primary teacher can expect to have one of the lowest salaries per hour of net teaching time among OECD and partner countries with available data. (19 USD Equivalent, rank 22/23 , 2023) Download Indicator
The ratio of lower secondary female teachers' salaries to earnings of full-time, full-year women workers with tertiary education is one of the lowest among OECD and partner countries with available data. (0.49 Ratio, rank 12/12 , 2023) Download Indicator
The ratio of lower secondary male teachers' salaries to earnings of full-time, full-year men workers with tertiary education is one of the lowest among OECD and partner countries with available data. (0.49 Ratio, rank 12/12 , 2023) Download Indicator
The average actual salary of 25-64 year-old lower secondary female teachers is one of the lowest per hour of net teaching time among OECD and partner countries with available data. (31446 USD Equivalent, rank 18/18 , 2023) Download Indicator
The average actual salary 25-64 year-old lower secondary teachers is one of the lowest per hour of net teaching time among OECD and partner countries with available data. (31199 USD Equivalent, rank 18/18 , 2023) Download Indicator
The salaries of 25-34 year-old general lower-secondary teachers relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.42 Ratio, rank 13/13 , 2023) Download Indicator
The salaries of 35-44 year-old general lower-secondary teachers relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.44 Ratio, rank 13/13 , 2023) Download Indicator
The salaries of 45-54 year-old general lower-secondary teachers relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.5 Ratio, rank 13/13 , 2023) Download Indicator
The salaries of 55-64 year-old general lower-secondary teachers relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.55 Ratio, rank 13/13 , 2023) Download Indicator
Teachers' salaries progression
Salaries of primary school teachers with minimum training after 10 years of experience are especially low. (24950 USD Equivalent, rank 35/36 , 2023) Download Indicator
Salaries of primary school teachers with minimum training at the top of scale are especially low. (30193 USD Equivalent, rank 34/35 , 2023) Download Indicator
Salaries of lower secondary teachers with minimum training after 10 years of experience are especially low. (24950 USD Equivalent, rank 35/36 , 2023) Download Indicator
Salaries of lower secondary teachers with minimum training at the top of scale are especially low. (30193 USD Equivalent, rank 34/35 , 2023) Download Indicator
Salaries of upper secondary teachers with minimum training after 10 years of experience are especially low. (25332 USD Equivalent, rank 35/36 , 2023) Download Indicator
Salaries of upper secondary teachers with minimum training at the top of scale are especially low. (33547 USD Equivalent, rank 34/35 , 2023) Download Indicator
Salaries of pre-primary teachers with minimum training after 10 years of experience are especially low. (24950 USD Equivalent, rank 28/29 , 2023) Download Indicator
Salaries of pre-primary teachers with minimum training at the top of scale are especially low. (30193 USD Equivalent, rank 27/28 , 2023) Download Indicator
It takes lower secondary teachers longer to progress through the salary scale in Hungary compared to other OECD and partner countries. (42 Years, rank 1/32 , 2023) Download Indicator
In lower secondary education, the salary ratio of teachers with maximum qualifications at the top of the salary scale to those with minimum training and starting salaries is comparatively high. (2.98 Ratio, rank 3/31 , 2023) Download Indicator
Principals' salaries
Pre-primary 25-64 year-old school heads' salaries relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.62 Ratio, rank 10/10 , 2023) Download Indicator
Primary school 25-64 year-old heads' salaries relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.69 Ratio, rank 13/13 , 2023) Download Indicator
Lower-secondary 25-64 year-old school heads' salaries relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.69 Ratio, rank 13/13 , 2023) Download Indicator
Upper-secondary 25-64 year-old school heads' salaries relative to earnings for full-time, full-year similarly educated workers with tertiary education is low in Hungary. (0.73 Ratio, rank 13/13 , 2023) Download Indicator
The average actual salaries of 25-64 year-old pre-primary school heads is one of the lowest in Hungary. (39653 USD Equivalent, rank 11/13 , 2023) Download Indicator
The average actual salaries of 25-64 year-old primary school heads is one of the lowest in Hungary. (43920 USD Equivalent, rank 17/19 , 2023) Download Indicator
The average actual salaries of 25-64 year-old lower secondary education school heads is one of the lowest in Hungary. (43920 USD Equivalent, rank 18/19 , 2023) Download Indicator
The average upper-secondary school heads' actual salary is one of the lowest among OECD and partner countries with available data. (46390 USD Equivalent, rank 17/19 , 2023) Download Indicator
The average actual salaries of lower secondary men school heads aged 25 to 64 is one of the lowest in Hungary. (43518 USD Equivalent, rank 17/18 , 2023) Download Indicator
The average actual salaries of lower secondary women school heads aged 25 to 64 is one of the lowest in Hungary. (45795 USD Equivalent, rank 16/18 , 2023) Download Indicator
Migrant background
The percentage of foreign-born aged between 15 and 29 who are neither employed nor in education and training is one of the lowest among OECD and partner countries with available data. (8.9 %, rank 24/28 , 2023) Download Indicator
The share of 25-64 year-old foreign-borns who attained below upper secondary education and who arrived in Hungary by the age of 15 is one of the lowest among OECD and partner countries with available data (4.2 %, rank 25/26 , 2023) Download Indicator
Ratio of student to teaching staff
In Hungary, the number of students per teacher in private institutions tertiary education is one of the lowest among countries with available data. (11.1 Ratio, rank 34/35 , 2022) Download Indicator
In Hungary, the number of students per teacher in government-dependent private institutions tertiary education is one of the lowest among countries with available data. (9.4 Ratio, rank 15/16 , 2022) Download Indicator
In Hungary, the number of students per teacher in independent private institutions tertiary education is one of the lowest among countries with available data. (11.4 Ratio, rank 22/25 , 2022) Download Indicator
In Hungary the ratio of children to contact staff in early childhood educational development is one of the highest compared to the other OECD and partner countries with available data. (11.4 Ratio, rank 3/15 , 2022) Download Indicator
Employment and educational attainment
The employment rate among 25-64 year-olds with a bachelor's or equivalent tertiary education degree is high compared to other OECD and partner countries. (90.4 %, rank 4/45 , 2023) Download Indicator
The employment rate among 25-64 year-olds with a master's or equivalent tertiary education degree is high compared to other OECD and partner countries. (93.7 %, rank 3/41 , 2023) Download Indicator
The employment rate among 25-34 year-olds with tertiary education is compartively high in Hungary. (92.9 %, rank 1/46 , 2023) Download Indicator
The employment rate among 25-34 year-olds with upper secondary or post-secondary non-tertiary education is compartively high in Hungary. (86.2 %, rank 5/45 , 2023) Download Indicator
The employment rate among 25-34 year-olds with a general upper secondary or post-secondary non-tertiary education is relatively high compared to other OECD and partner countries. (82.6 %, rank 5/39 , 2023) Download Indicator
The employment rate among 25-34 year-olds with a short-cycle tertiary education is comparatively high. (92.6 %, rank 4/32 , 2023) Download Indicator
Compared to other countries with available data, the employment rate of 25-34 year-olds with a bachelor's or equivalent tertiary education degree is relatively high in Hungary. (91.8 %, rank 2/45 , 2023) Download Indicator
Compared to other countries with available data, the employment rate of 25-34 year-olds with a master's or equivalent tertiary education degree is relatively high in Hungary. (93.3 %, rank 4/40 , 2023) Download Indicator
Employment by gender and educational attainment
The employment rate among 25-64 year-olds with tertiary education is comparatively high. (92 %, rank 2/46 , 2023) Download Indicator
The employment rate among 25-64 year-olds with upper secondary or post-secondary non-tertiary education is comparatively high. (84.5 %, rank 5/45 , 2023) Download Indicator
The employment rate among 25-64 year-old men with tertiary education is comparatively high. (95.1 %, rank 3/46 , 2023) Download Indicator
The employment rate among 25-64 year-old women with tertiary education is comparatively high. (89.9 %, rank 3/46 , 2023) Download Indicator
The employment rate among 25-34 year-old men with tertiary education is compartively high in Hungary. (94.7 %, rank 3/46 , 2023) Download Indicator
The employment rate among 25-34 year-old women with tertiary education is compartively high in Hungary. (91.6 %, rank 1/46 , 2023) Download Indicator
In Hungary, the share of employed 25-64 year-old women with general upper secondary or post-secondary non-tertiary education is relatively high, compared to other OECD and partner countries with available data. (79.6 %, rank 2/39 , 2023) Download Indicator
In Hungary, the share of employed 25-64 year-old men with vocational upper secondary or post-secondary non-tertiary education is relatively high, compared to other OECD and partner countries with available data. (89.6 %, rank 5/36 , 2023) Download Indicator
Compared to other countries with available data, the employment rate of 25-34 year-old women with general upper secondary or post-secondary non-tertiary education is relatively high in Hungary compared to other countries with available data. (81.2 %, rank 3/39 , 2023) Download Indicator
Unemployment and educational attainment
The unemployment rate among 25-34 year-olds with tertiary education is comparatively low. (1.9 %, rank 42/45 , 2023) Download Indicator
The unemployment rate among 25-64 year-olds with tertiary education is comparatively low. (1.5 %, rank 42/46 , 2023) Download Indicator
The unemployment rate among 25-64 year-olds with a short-cycle tertiary education degree is one the lowest of all OECD countries and partner economies for which data are available. (1.8 %, rank 27/29 , 2023) Download Indicator
The unemployment rate among 25-64 year-olds with a master's or equivalent tertiary education degree is one of the lowest of all OECD countries and partner economies for which data are available. (1.1 %, rank 35/39 , 2023) Download Indicator
Compared to other countries with available data, the unemployment rate of 25-34 year-old with a master's or equivalent tertiary education degree is relatively low in Hungary. (1.4 %, rank 37/37 , 2023) Download Indicator
Compared to other countries with available data, the unemployment rate of 25-34 year-old with a short cycle tertiary education degree is relatively low in Hungary. (2 %, rank 22/22 , 2023) Download Indicator
Unemployment by gender and educational attainment
The unemployment rate among 25-34 year-old men with tertiary education is compartively low in Hungary. (2 %, rank 40/42 , 2023) Download Indicator
The unemployment rate among 25-34 year-old women with tertiary education is compartively low in Hungary. (1.8 %, rank 43/44 , 2023) Download Indicator
The unemployment rate among 55-64 year-old women with tertiary education is compartively low in Hungary. (0.9 %, rank 35/36 , 2023) Download Indicator
In Hungary, the share of unemployed 25-64 year-old men with general upper secondary or post-secondary non-tertiary education is relatively low, compared to other OECD and partner countries with available data. (2.4 %, rank 32/35 , 2023) Download Indicator
Compared to other countries with available data, the unemployment rate of 25-34 year-old men with general upper secondary or post-secondary non-tertiary education is relatively low in Hungary. (2.9 %, rank 31/33 , 2023) Download Indicator
Inactivity and educational attainment
The inactivity rate of 25-34 years-old adults with tertiary education is low in Hungary. (5.4 %, rank 44/46 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-34 year-olds with a bachelor's or equivalent tertiary education degree is one of the lowest among countries with available data. (5.5 %, rank 43/44 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-34 year-olds with a short cycle tertiary education degree is one of the lowest among countries with available data. (5.5 %, rank 26/26 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-64 year-olds with a short cycle tertiary education degree is one of the lowest among countries with available data. (7.3 %, rank 35/35 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-64 year-olds with tertiary education is one of the lowest among countries with available data. (6.6 %, rank 42/46 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-64 year-olds with general upper secondary or post-secondary non-tertiary education is relatively low. (14.1 %, rank 35/39 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-64 year-olds with vocational upper secondary or post-secondary non-tertiary education is relatively low. (12.2 %, rank 32/36 , 2023) Download Indicator
Inactivity by gender and educational attainment
In Hungary, the inactivity rate of 25-34 year-old women with general upper secondary or post-secondary non-tertiary education is relatively low. (14.9 %, rank 36/37 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-64 year-old women with general upper secondary or post-secondary non-tertiary education is relatively low. (17.2 %, rank 37/39 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-34 year-old men with vocational upper secondary or post-secondary non-tertiary education is relatively low. (3.5 %, rank 33/34 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-34 year-old women with tertiary education is relatively low. (6.7 %, rank 43/45 , 2023) Download Indicator
In Hungary, the inactivity rate of 25-64 year-old men with tertiary education is relatively low. (3.5 %, rank 45/46 , 2023) Download Indicator
Earnings and educational attainment
The proportional difference in earnings between 25-64 year-old adults with tertiary education and those with upper secondary or post-secondary non-tertiary education is quite high. (183 Index, rank 5/41 , 2022) Download Indicator
Compared with other OECD and partner countries, the proportional difference in earnings between 25-64 year-old adults with a bachelor's or equivalent degree and those with upper secondary or post-secondary non-tertiary education is high. (159 Index, rank 5/35 , 2022) Download Indicator
In Hungary, the proportional difference in earnings between 25-64 year-old men with a bachelor's or equivalent degree and those with upper secondary or post-secondary non-tertiary education is high. (193 Index, rank 3/35 , 2022) Download Indicator
Earnings of 25-64 year-old full and part-time workers with tertiary education are comparatively high. (189.2 %, rank 5/40 , 2022) Download Indicator
Compared to other countries with available data, earnings of 25-64 year-olds full- and part-time with below secondary education compared to those of adults with an upper secondary education are relatively low in Hungary. (65.4 %, rank 37/40 , 2022) Download Indicator
In Hungary, the proportion of young 25-34 year-old adults with a bachelor's or equivalent attainment earnings is relatively high compared to OECD and other members with available data (145 Index, rank 5/35 , 2022) Download Indicator
The share of 25-64 year-old workers with tertiary education earning at or below half the overall median in Hungary is one of the lowest among countries with available data. (3 Index, rank 36/40 , 2022) Download Indicator
In Hungary, the distribution of worker earning more than the median but at or below 1.5 times the median among those with below upper secondary education is comparatively low . (12 Index, rank 38/41 , 2022) Download Indicator
Earnings, gender and educational attainment
Earnings of women as a percentage of men's earnings (among 25-64 year-olds without an upper secondary education with income from employment) are one of the highest among countries with available data. (88.3 %, rank 4/41 , 2022) Download Indicator
Earnings of women as a percentage of men's earnings (among 25-64 year-olds with tertiary education and income from employment) are one of the lowest among countries with available data. (67.2 %, rank 40/41 , 2022) Download Indicator
Earnings of women (as a percentage of men's earnings) among full- and part-time 25-64 year-olds with upper secondary or post-secondary non-tertiary education are one of the highest among countries with available data. (82.8 %, rank 4/40 , 2022) Download Indicator
The earnings of women as a percentage of men's earnings (25-34 year-olds without an upper secondary education working full-time full-year) are one of the highest among countries with available data. (94.3 %, rank 3/33 , 2022) Download Indicator
Earnings of women as a percentage of men's earnings (45-54 year-olds without an upper secondary education working full-time full-year) are one of the highest among countries with available data. (88 %, rank 3/37 , 2022) Download Indicator
Earnings of women as a percentage of men's earnings (45-54 year-olds with general upper secondary or post-secondary non-tertiary education working full-time full-year) are one of the lowest among countries with available data. (62.5 %, rank 41/41 , 2022) Download Indicator
Earnings of women as a percentage of men's earnings (25-64 year-olds with vocational upper secondary or post-secondary non-tertiary education working full-time full-year) are one of the highest among countries with available data. (85.2 %, rank 4/29 , 2021) Download Indicator
Earnings of women as a percentage of men's earnings (45-54 year-olds with vocational upper secondary or post-secondary non-tertiary education working full-time full-year) are one of the highest among countries with available data. (85.5 %, rank 2/28 , 2021) Download Indicator
Neither in education nor employed
The share of women with general upper secondary or post-secondary non-tertiary education neither in employment nor in education and training (25-29 year-olds) in Hungary is relatively low (12.5 %, rank 25/26 , 2023) Download Indicator
The share of 25-29 year-olds neither in employment nor in education and training with general upper secondary or post-secondary non-tertiary education in Hungary is relatively low (11.1 %, rank 26/30 , 2023) Download Indicator
The share of women with tertiary education neither in employment nor in education and training (25-29 year-olds) in Hungary is relatively low. (3.2 %, rank 41/41 , 2022) Download Indicator
The share of men with tertiary education neither in employment nor in education and training (25-29 year-olds) in Hungary is relatively low. (3.3 %, rank 31/33 , 2022) Download Indicator
The share of 25-29 year-olds neither in employment nor in education and training with tertiary education in Hungary is relatively low. (3.2 %, rank 41/41 , 2022) Download Indicator
In Hungary, the proportion of youth with a tertiary degree who are neither employed nor in education or training among 15-29 year-olds is comparatively small. (4.3 %, rank 39/41 , 2022) Download Indicator
General findings
- Educational and labour-market outcomes for young adults at risk of falling behind have improved. Since 2016, the share of 18-24 year-olds not in employment, education or training has fallen from 16% to 14% on average across the OECD. At the same time, the share of 25-34 year-olds without an upper secondary qualification has decreased from 17% to 14%.
- Job opportunities have also improved: the employment rate among 25-34 year-olds without an upper secondary qualification has risen from 59% to 61%, and for those with upper secondary or post-secondary non-tertiary attainment, it has increased from 76% to 79%.
- Educational outcomes are transmitted across generations. Inequalities start early and persist through all stages of the education system. In countries with available data, children from low-income families are on average 18 percentage points less likely to be enrolled in early childhood education and care before the age of 3.
- Students who start an upper secondary programme are 19 percentage points less likely to successfully complete their studies if their parents have not attained upper secondary education than their peers with parents who have a tertiary qualification, and this gap is 13 percentage points for those starting a bachelors programmes.
- These disadvantages result in very different levels of educational attainment. While 72% of adults who have at least one parent with a tertiary qualification have also obtained a tertiary qualification, only 19% of those whose parents have not completed upper secondary education have tertiary attainment.
- Public expenditure on early childhood education measured as a share of gross domestic product (GDP) increased by 9% between 2015 and 2021, significantly more than for other levels of education. Enrolment rates in early childhood education have also continued to rise across all age groups. On average across the OECD, 83% of children aged 3-5 are enrolled in pre-primary education, up from 79% in 2013.
Visualisations
- In almost all countries with available data, the share of younger adults (25-34 year-olds) without an upper secondary qualification has fallen since 2016 and for Costa Rica, Mexico, Portugal and Türkiye these declines have been in double digits in percentage-point terms. This means many more younger adults will have the opportunity to succeed in the labour market.
- On average across OECD countries, the share of women with at least a bachelor's or equivalent degree has almost doubled in a generation: going from 24% among 55-64 year-olds to 47% among 25-34 year-olds, reflecting a substantial increase in educational attainment.
- In most OECD countries, the share of 18-24 year-olds who are neither employed nor in formal education or training (NEET) has decreased between 2016 and 2023. Costa Rica and Lithuania are exceptions, having experienced a rise above 3 percentage points in the share over this period.
- Employment rates for younger adults (25-34 year-olds) slightly improved in most countries between 2016 and 2023, irrespective of their educational attainment level. However, the gap in employment rates between younger adults with below upper secondary attainment and those with tertiary attainment has widened in more than half of OECD, partner and/or accession countries with comparable data for both years.
- In OECD countries, workers who have not attained upper secondary education earn, on average, 18% less than those who have attained this level of education. Meanwhile, workers with a tertiary education earn, on average, 56% more than those with only an upper secondary education.
Visualisations
- Most children aged 3 to 5 (84%) attend early childhood education (ECE) programmes across the OECD, yet only 32% of those aged 0 to 2 are enrolled in early childhood educational development programmes (ISCED 01) on average. Younger children from low-income families are least likely to attend these programmes, despite being likely to benefit the most.
- Since 2013, 12 countries have extended the length of compulsory education at either pre-primary or upper secondary level. As enrolment rates in the years before and after compulsory education are already generally high, these measures often aim to increase enrolment among disadvantaged groups, where rates are lower.
- The vast majority of primary students are enrolled in public institutions, averaging 85% across OECD countries. In some countries, government-dependent private institutions are prevalent, which often function in similar ways to public institutions.
- Gender disparities at the upper secondary level affect students pathways in the labour market and higher education. On average, 51% of graduates from upper secondary general programmes are female, but in vocational programmes female only make up 46% of graduates.
- Family background strongly influences success in upper secondary education. In all countries with available data, students whose parents have lower educational attainment have substantially lower completion rates than students with a tertiary-educated parent. Completion rates for students with immigrant backgrounds are also lower than for non-immigrant students.
- On average, women are over-represented in tertiary education, but they remain under-represented in some fields. Only 15% of female new entrants at tertiary level choose a science, technology, engineering or mathematics (STEM) field, compared to 41% of male new entrants. In contrast, only 4% of male entrants opted for the field of education and 8% for health and welfare, shares which have not changed since 2015.
Visualisations
- Expenditure per student increases with the educational level in nearly all OECD countries, although by how much varies substantially among countries. On average, expenditure per student amounts to about USD 11 900 at primary level, USD 13 300 at secondary level and USD 20 500 at tertiary level.
- OECD countries spend, on average, the equivalent of 4.9% of their gross domestic product (GDP) (over USD 3.5 trillion in total) on educational institutions from primary to tertiary levels (including tertiary research and development). Iceland, Israel, Norway and the United Kingdom invest over 6% of their national output into education.
- Private sources play a much more important role in funding tertiary education, relative to government sources, than at lower levels. On average, private sources of funding amount to 0.3% of GDP for primary to post-secondary non-tertiary institutions, with a similar percentage for tertiary institutions. In contrast, government funding amounts to 3.2% of GDP for primary to post-secondary non-tertiary institutions, well above the 1.0% of GDP that governments spend on tertiary institutions.
- On average, across OECD countries, the government is the primary source of funding for both public and private primary schools. For public institutions, the government covers nearly all expenditure, amounting to about USD 11 900 per student, while it accounts for less than 60% of the costs for private ones, roughly USD 7 900 per student, on average. However, these figure vary considerably across countries.
- Tuition fees for bachelor's degrees vary considerably from country to country. In one-third of the countries and other participants with data, public institutions either offer tuition-free education to national students or charge less than USD 1 100 per year in fees. In another third of countries, annual tuition fees are relatively modest, averaging between USD 1 400 and USD 3 100 per student. In the remaining countries, fees are considerably higher, exceeding USD 4 500 per year.
Visualisations
- Between 2013 and 2022, the ratio of children to teaching staff at pre-primary level fell across most countries, from 16:1 to 15:1 on average in OECD countries, due to fewer enrolled children and more teachers. In some countries, however, the ratio has increased due to rising child enrolment and teacher shortages.
- In most OECD countries, the salaries of teachers increase with the level of education they teach. On average across OECD countries and other participants, the salaries of teachers with the most prevalent qualifications with 15 years of experience range from USD 52 631 at pre-primary level to USD 60 803 at upper secondary level.
- Between 2015 and 2023, the statutory salaries of teachers at primary and secondary levels increased by 28-29% in nominal terms on average across OECD countries. When adjusted for changes in prices, the rise in real salaries was much smaller, at 4-5%.
- Based on official regulations or agreements, teachers in public schools in OECD countries and other participants are required to teach on average 1 007 hours per year at pre-primary level, 773 hours at primary level, 706 hours at lower secondary level (general programmes) and 679 hours at upper secondary level (general programmes).
- Of the 21 countries with available data, 18 reported that they faced teacher shortages at the start of the 2022/23 academic year, with only Greece, Korea and Türkiye not reporting any shortages.
- The ageing of the teaching workforce is more pronounced in secondary schools than in primary education. On average across OECD countries, the share of older teachers (aged 50 and over) increases with the education level: from 34% in primary education to 36% in lower secondary and 41% in upper secondary education.
Visualisations
All rankings for individual variables are compiled on the basis of OECD and G20 countries for which data are available. 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. Data for the latest available year is preferred and some countries may have provided data refering to a more recent or late 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 averages. 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 country profile text.