Lithuania
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Lithuania
Overview of the education system (EAG 2025)
  • Unemployment risks fall with higher education: 14.9% for those without upper secondary, 10.1% for those with upper secondary/post-secondary non-tertiary, and 3.7% for tertiary-educated, aligning with OECD patterns but at lower overall levels.
  • Women represented 55% of first-time entrants to tertiary education in 2023, up from 53% in 2013 and close to the OECD average of 54%, showing stable gender participation.
  • Dropout rates after the first year of bachelor’s programmes are relatively low at 9% of first-time entrants, compared to the OECD average of 13%, suggesting stronger student retention.
  • Tertiary spending is USD 11,151 per student, below the OECD average of USD 15,102, confirming relatively low expenditure even when including research and development.
  • In Lithuania, governments fund most education: 90.1% of primary to post-secondary non-tertiary, 88.9% of pre-primary, and 56.3% of tertiary. Compared to OECD averages (90.1%, 85.6%, and 71.9%), public funding is lower at the tertiary level.
  • Admission to tertiary education is selective, with applications submitted either directly to institutions or to a centralised body, depending on the programme.
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    The following list displays indicators for which your selected country shows the highest and lowest values among countries. The list can be sorted by level of education or by age group. All rankings are calculated including available data from OECD and partner countries. Find out more about the methodology here.

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    Attainment

    In Lithuania, the percentage of 25-64 year-olds who attained a bachelor's or equivalent tertiary education degree is one of the highest among countries with available data. (31.2 %, rank 5/37 , 2024) Download Indicator

    The level of below upper secondary attainment among 55-64 year-olds is one of the lowest among OECD and partner countries with available data. (4 %, rank 39/39 , 2024) 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. (64.9 %, rank 4/38 , 2024) Download Indicator

    In Lithuania, the share of 25-34 year-olds who attained a bachelor's or equivalent tertiary education degree is one of the highest among countries with available data. (41.4 %, rank 4/37 , 2024) Download Indicator

    Attainment by gender

    The share of 25-64 year-old women who attained a bachelor's or equivalent tertiary education degree is one of the largest among countries with available data. (35.9 %, rank 4/37 , 2024) Download Indicator

    The share of 25-64 year-old women who attained below upper secondary education in Lithuania is one of the lowest among OECD and partner countries with available data. (5.2 %, rank 38/39 , 2024) Download Indicator

    The share of 55-64 year-old men who attained below upper secondary education in Lithuania is one of the lowest among OECD and partner countries with available data. (5 %, rank 38/39 , 2024) Download Indicator

    The share of 55-64 year-old women who attained below upper secondary education in Lithuania is one of the lowest among OECD and partner countries with available data. (3.2 %, rank 38/39 , 2024) Download Indicator

    The share of 25-34 year-old women with general upper secondary or post-secondary non-tertiary education in Lithuania is one of the lowest among countries with available data. (34.9 %, rank 36/37 , 2024) Download Indicator

    The share of 25-34 year-old men with general upper secondary or post-secondary non-tertiary education in Lithuania is one of the highest among countries with available data. (65.1 %, rank 2/37 , 2024) Download Indicator

    Attainment by field of education

    The percentage of 25-64 year-olds with tertiary education who studied in the field of educaton is one of the lowest among OECD countries and partner economies with available data. (7.3 %, rank 24/28 , 2024) Download Indicator

    Entrance

    The share of female new entrants integrating short-cycle tertiary programmes in Lithuania is comparatively small. (15.4 %, rank 37/37 , 2023) Download Indicator

    The share of female students entering doctoral or equivalent programmes in Lithuania is one of the largest compared to other OECD countries and partner economies. (56.2 %, rank 5/41 , 2023) Download Indicator

    Entrance by field of education and gender

    Female new entrants to master’s programmes in services placed Lithuania among the smallest across participating countries. (23.9 %, rank 36/36 , 2023) Download Indicator

    Female new entrants in tertiary services programmes were among the smallest across countries. (36.1 %, rank 33/36 , 2023) Download Indicator

    The share of female who enter tertiary education in the field of education is one of the largest among OECD and partner countries with available data. (88 %, rank 4/37 , 2023) Download Indicator

    The share of female who enter tertiary education in the field of engineering, manufacturing and construction is one of the smallest among OECD and partner countries with available data. (22.3 %, rank 33/37 , 2023) Download Indicator

    The share of female who enter tertiary education in the field of health and welfare is one of the largest among OECD and partner countries with available data. (82.2 %, rank 4/37 , 2023) Download Indicator

    In Lithuania, the share of female among new entrants in doctoral programmes enrolled in the field of information and communication technologies is relatively small. (18.2 %, rank 31/35 , 2023) Download Indicator

    In Lithuania, the share of female among new entrants in doctoral programmes enrolled in the field of health and welfare is relatively small. (52.2 %, rank 33/35 , 2023) Download Indicator

    In Lithuania,the share of male among new entrants in doctoral programmes enrolled in the field of engineering, manufacturing and construction is relatively small. (56.6 %, rank 36/37 , 2023) Download Indicator

    In Lithuania, the share of women among new entrants in bachelor's programmes in the field of engineering, manufacturing and construction is one of the smallest among OECD and partner countries with available data. (17.7 %, rank 38/39 , 2023) Download Indicator

    In Lithuania, 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. (23.8 %, rank 35/38 , 2023) Download Indicator

    In Lithuania, 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. (10.4 %, rank 35/39 , 2023) Download Indicator

    In Lithuania, the share of men among new entrants in bachelor's programmes in the field of health and welfare is one of the smallest among OECD and partner countries with available data. (14.6 %, rank 36/39 , 2023) Download Indicator

    The share of male students entering doctoral or equivalent programmes in Science, technology, engineering and mathematics (STEM) in Lithuania is one of the smallest compared to other OECD countries and partner economies. (52.4 %, rank 33/36 , 2023) Download Indicator

    Participation in education

    The enrolment rate among 15-19 year-olds in Lithuania is one of the highest among OECD and partner countries with available data. (94.2 %, rank 3/44 , 2023) Download Indicator

    In Lithuania, the percentage of female students enrolled in upper secondary vocational programmes is one of the lowest among OECD and partner countries. (35.3 %, rank 41/44 , 2023) Download Indicator

    Among 6–14-year-olds, enrolment in lower secondary programmes in Lithuania ranked among the highest internationally. (45 %, rank 4/46 , 2023) Download Indicator

    Enrolment of 6–14-year-olds in primary education placed Lithuania among the lowest across countries. (44.6 %, rank 44/47 , 2023) Download Indicator

    In Lithuania, the percentage of students enrolled in private institutions at early childhood educational and development level is comparatively low. (14.3 %, rank 24/28 , 2023) Download Indicator

    Students enrolled in programmes providing full completion and access to tertiary education among all students enrolled in post-secondary non-tertiary vocational programmes are proportionally more in Lithuania than in the other countries. (100 %, rank 1/22 , 2023) Download Indicator

    The share of female students enrolled in lower secondary vocational programmes is one of the lowest among OECD countries and partner economies with available data. (36.9 %, rank 19/21 , 2023) Download Indicator

    Graduation

    The percentage of first-time graduates in vocational programmes at upper secondary level is one of the lowest among OECD and partner countries with available data. (11.6 %, rank 35/36 , 2023) Download Indicator

    In Lithuania, 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 (27.2 Years, rank 20/24 , 2023) Download Indicator

    The average age of master's or equivalent graduates in Lithuania is among the youngest. (25 Years, rank 20/22 , 2023) Download Indicator

    Graduation by gender

    The share of female graduates from upper secondary vocational programmes is one of the smallest among OECD countries and partner economies with available data. (33.1 %, rank 38/41 , 2023) Download Indicator

    In Lithuania, the share of female first-time master's graduates is relatively largest, compared to OECD and partner countries with available data. (68.9 %, rank 4/23 , 2023) Download Indicator

    Graduation by field of education

    The percentage of tertiary graduates in the field of education is one of the lowest among OECD and partner countries with available data. (5.5 %, rank 40/44 , 2023) Download Indicator

    The percentage of tertiary graduates in the field of health and welfare is one of the highest among OECD and partner countries with available data. (21.4 %, rank 3/44 , 2023) Download Indicator

    In Lithuania, the proportion of upper secondary vocational graduates in the field of business, aministration and law is one of the lowest among OECD and partner countries with available data. (2.8 %, rank 31/34 , 2023) Download Indicator

    In Lithuania, 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. (54.7 %, rank 4/34 , 2023) Download Indicator

    In Lithuania, the proportion of upper secondary and post-secondary non-tertiary vocational graduates in the field of services is one of the highest among OECD and partner countries with available data. (3 %, rank 1/36 , 2022) Download Indicator

    In Lithuania, the proportion of bachelor's, master's and doctoral or equivalent graduates in the field of business, administration and law is one of the highest among OECD and partner countries with available data. (3 %, rank 5/44 , 2022) Download Indicator

    In Lithuania, the proportion of bachelor's, master's and doctoral or equivalent graduates in the field of health and welfare is one of the highest among OECD and partner countries with available data. (2 %, rank 2/45 , 2022) Download Indicator

    Graduation by field of education and gender

    The proportion of female tertiary graduates in education is one of the lowest among OECD and partner countries. (7.7 %, rank 40/44 , 2023) Download Indicator

    The proportion of female tertiary graduates in health and welfare is one of the highest among OECD and partner countries. (28.8 %, rank 5/44 , 2023) Download Indicator

    The share of male tertiary graduates in the field of education is relatively low in Lithuania. (2 %, rank 41/44 , 2023) Download Indicator

    In Lithuania, the share of female post-secondary non-tertiary graduates in the field of engineering, manufacturing and construction is one of the smallest among OECD and partner countries with available data. (6.7 %, rank 23/27 , 2023) Download Indicator

    In Lithuania, the proportion of female graduates from upper secondary vocational programmes in the field of engineering, manufacturing and construction is one of the smallest among OECD and partner countries. (5.2 %, rank 38/38 , 2023) Download Indicator

    In Lithuania, the proportion of female graduates from upper secondary vocational programmes in the field health and welfare is one of the largest among OECD and partner countries. (96.1 %, rank 1/34 , 2023) Download Indicator

    In Lithuania, the share of female graduates in tertiary education in the fields of arts and humanities is one of the largest among OECD countries and partner economies with available data. (73.2 %, rank 2/43 , 2023) Download Indicator

    In Lithuania, the share of female graduates in tertiary education in the fields of services is one of the smallest among OECD countries and partner economies with available data. (34.5 %, rank 39/41 , 2023) Download Indicator

    Gap year

    The share of female students who entered a bachelor's programme and took at least one gap year was among the lowest across countries with available data. (18.4 %, rank 19/23 , 2020) Download Indicator

    Fields of education

    In Lithuania, the share of new entrants in short-cycle tertiary programmes in the field of arts and humanities is relatively small. (0 %, rank 31/34 , 2023) Download Indicator

    In Lithuania, the share of new entrants in short-cycle tertiary programmes in the field of business, administration and law is relatively small. (0 %, rank 32/34 , 2023) Download Indicator

    In Lithuania, the share of new entrants in short-cycle tertiary programmes in the field of engineering, manufacturing and construction is relatively small. (0 %, rank 34/34 , 2023) Download Indicator

    In Lithuania, the share of new entrants in short-cycle tertiary programmes in field of health and welfare is relatively small. (0 %, rank 30/34 , 2023) Download Indicator

    In Lithuania, the proportion of new entrants in education master's programmes is relatively low, compared to OECD and partner countries with available data. (3.4 %, rank 37/38 , 2023) Download Indicator

    Student mobility

    The share of international students entering doctoral or equivalent programmes in Lithuania is relatively small. (13.1 %, rank 32/36 , 2023) Download Indicator

    In Lithuania, the proportion of international graduates among first-time doctorate graduates is relatively low. (5.5 %, rank 28/30 , 2023) Download Indicator

    Student mobility by field of education

    The percentage of students enrolled in the field of education among all international or foreign tertiary students in Lithuania is relatively low. (0.7 %, rank 36/37 , 2023) Download Indicator

    Expenditure per student

    Expenditure per student for ancillary services on tertiary education in Lithuania is comparatively high. (1613 USD Equivalent, rank 4/28 , 2022) Download Indicator

    Expenditure in education and national wealth

    In Lithuania, expenditure on post secondary non-tertiary educational institutions as a percentage of GDP is comparatively high. (0.1 %, rank 4/23 , 2022) Download Indicator

    In Lithuania, 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 4/32 , 2022) Download Indicator

    The public expenditure as a percentage of GDP from initial source of funds at primary to tertiary education is relatively low in Lithuania. (2.9 %, rank 27/30 , 2022) Download Indicator

    In Lithuania, international expenditure as a percentage of GDP from initial source of funds on tertiary education is relatively large. (0.2 %, rank 1/35 , 2022) Download Indicator

    From 2012 to 2018, the average annual growth in total expenditure per full-time equivalent student on primary to tertiary education in Lithuania is one of the smallest among OECD and partner countries with available data. (0.6 %, rank 26/29 , 2022) Download Indicator

    Government and private expenditure in education

    In Lithuania, total public expenditure on post-secondary non-tertiary educational institutions as a percentage of total public expenditure is comparatively high. (0.2 %, rank 3/22 , 2022) Download Indicator

    Nature of expenditure

    In Lithuania, the share of current expenditure on post-secondary non-tertiary education is one of the smallest among OECD and partner countries with available data. (85.8 %, rank 19/20 , 2022) Download Indicator

    Who the teachers are

    The percentage of secondary teachers older than 50 is especially high. (58.9 %, rank 1/37 , 2023) Download Indicator

    The share of teachers aged between 40 and 49 in secondary schools is especially small. (12.5 %, rank 36/37 , 2023) 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. (96 %, rank 1/43 , 2023) Download Indicator

    The share of women among teaching staff in lower secondary education is one of the largest among OECD and partner countries with available data. (82.6 %, rank 2/39 , 2023) Download Indicator

    The share of women among teaching staff in upper secondary education is one of the largest among OECD and partner countries with available data. (78.1 %, rank 2/41 , 2023) Download Indicator

    The share of women among teaching staff in tertiary education is one of the largest among OECD and partner countries with available data. (57.8 %, rank 1/43 , 2023) Download Indicator

    The share of women among teaching staff is one of the largest among OECD and partner countries with available data. (82.5 %, rank 2/36 , 2023) Download Indicator

    The percentage of primary teachers younger than 30 is especially low. (6.2 %, rank 36/39 , 2023) Download Indicator

    The percentage of lower secondary teachers younger than 30 is especially low. (4.4 %, rank 32/36 , 2023) Download Indicator

    The percentage of upper secondary teachers younger than 30 is especially low. (2.9 %, rank 38/39 , 2023) Download Indicator

    The percentage of primary to upper secondary teachers younger than 30 is especially low. (4.6 %, rank 37/39 , 2023) Download Indicator

    The percentage of primary teachers aged between 30 and 49 is especially low. (37 %, rank 39/39 , 2023) Download Indicator

    The percentage of lower secondary teachers aged between 30 and 49 is especially low. (37.7 %, rank 34/36 , 2023) Download Indicator

    The percentage of upper secondary teachers aged between 30 and 49 is especially low. (35 %, rank 39/39 , 2023) Download Indicator

    The percentage of primary to upper secondary teachers aged between 30 and 49 is especially low. (37 %, rank 39/39 , 2023) Download Indicator

    The percentage of primary to upper secondary teachers older than 50 is especially high. (58.4 %, rank 1/39 , 2023) Download Indicator

    In Lithuania, the share of female teachers younger than 30 in tertiary education is relatively large. (58.3 %, rank 5/36 , 2023) Download Indicator

    The percentage of female teachers aged 50 or more in lower secondary education is especially high in Lithuania. (83.5 %, rank 4/36 , 2023) Download Indicator

    The percentage of female teachers aged 50 or more in tertiary education is especially high in Lithuania. (58.5 %, rank 2/36 , 2023) Download Indicator

    In Lithuania, the share of short-cycle tertiary teachers aged between 30 and 49 is relatively low, compared to other countries with data available. (0 %, rank 23/24 , 2023) Download Indicator

    In Lithuania, the share of short-cycle tertiary teachers older than 50 is relatively low, compared to other countries with data available. (0 %, rank 23/24 , 2023) Download Indicator

    In Lithuania, the share of short-cycle tertiary teachers younger than 30 is relatively low, compared to other countries with data available. (0 %, rank 21/24 , 2023) Download Indicator

    In Lithuania, the share of women among teaching staff in early childhood educational development is one of the highest, compared to OECD and partner countries with available data. (99.1 %, rank 3/21 , 2023) Download Indicator

    The percentage of teachers aged 50 or more in pre-primary education is especially high in Lithuania (47.4 %, rank 3/34 , 2023) Download Indicator

    In Lithuania, the percentage of teachers aged between 30 and 49 in pre-primary education is one of the lowest among OECD and partner countries with available data. (42.3 %, rank 31/34 , 2023) Download Indicator

    In upper secondary education, the percentage of teachers aged 50 or more is particularly high in Lithuania. (62.8 %, rank 1/33 , 2023) Download Indicator

    The percentage of teachers under 30 in Lithuania is one of the lowest among OECD and partner countries with available data. (3 %, rank 32/33 , 2023) Download Indicator

    In Lithuania, the percentage of upper secondary general education teachers aged between 30 and 49 is relatively low, compared to the other countries with available data. (34.2 %, rank 33/33 , 2023) Download Indicator

    In Lithuania, the share of upper secondary vocational education teachers aged 50 or more is relatively high, compared to the other countries with available data. (59.7 %, rank 1/31 , 2023) Download Indicator

    The share of teachers under 30 in upper secondary vocational education is especially low in Lithuania. (2.6 %, rank 29/31 , 2023) Download Indicator

    In Lithuania, the percentage of teachers aged between 30 and 49 in upper secondary vocational education is one of the lowest among OECD and partner countries with available data. (37.7 %, rank 31/31 , 2023) Download Indicator

    Teachers' salaries

    In Lithuania, the change in statutory primary education teachers' salaries with 15 years of experience, based on most prevalent qualifications at different points in teachers' careers is relatively large. (181 Index, rank 1/33 , 2023) Download Indicator

    In Lithuania, the change in statutory lower secondary education teachers' salaries with 15 years of experience, based on most prevalent qualifications at different points in teachers' careers is relatively large. (181 Index, rank 1/33 , 2023) Download Indicator

    Ratio of student to teaching staff

    The number of pupils per teacher in pre-primary schools is one of the lowest among OECD and partner countries with available data. (8.5 Ratio, rank 34/38 , 2023) Download Indicator

    The ratio of students to teaching staff in post-secondary non-tertiary education is comparatively low in Lithuania. (6.8 Ratio, rank 18/21 , 2023) Download Indicator

    In Lithuania, the ratio of children to contact staff in pre-primary education is one of the lowest compared to other OECD and partner countries with available data. (5.4 Ratio, rank 20/23 , 2023) Download Indicator

    In Lithuania, the number of students per teacher in general upper secondary education is one of the lowest among OECD and partner countries with available data. (9.9 Ratio, rank 32/34 , 2023) Download Indicator

    In Lithuania, the number of students per teacher in private upper secondary education is one of the lowest among OECD and partner countries with available data. (5.7 Ratio, rank 39/39 , 2023) Download Indicator

    The ratio of students to teaching staff at the upper secondary level in independent private institutions is especially low in Lithuania. (5.7 Ratio, rank 26/26 , 2023) Download Indicator

    In Lithuania, the number of students per teacher in private bachelor's, master's, doctoral or equivalent programmes is one of the highest among countries with available data. (24.1 Ratio, rank 5/29 , 2023) Download Indicator

    Organisation of the education system

    The total compulsory instruction time for lower secondary students in Lithuania is one of the longest among OECD and partner countries with available data. (5186 Hours, rank 1/42 , 2024) Download Indicator

    In Lithuania, total intended instruction time for lower secondary students is among the longest compared to other countries with available data. (5897 Hours, rank 1/34 , 2024) 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. (89.8 %, rank 4/37 , 2024) Download Indicator

    The employment rate among 25-64 year-olds with a vocational upper secondary or post-secondary non-tertiary education is relatively low compared to other OECD and partner countries. (74.3 %, rank 31/35 , 2024) Download Indicator

    The employment rate among 25-34 year-olds with tertiary education is compartively high in Lithuania. (92 %, rank 4/40 , 2024) 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 Lithuania. (91.7 %, rank 3/36 , 2024) 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 Lithuania. (92.6 %, rank 5/34 , 2024) Download Indicator

    Employment by gender and educational attainment

    The employment rate among 25-64 year-old women with tertiary education is comparatively high. (90.3 %, rank 3/40 , 2024) Download Indicator

    The employment rate among 25-34 year-old women with below upper secondary education is compartively low in Lithuania. (19.2 %, rank 37/37 , 2024) Download Indicator

    The employment rate among 25-34 year-old women with tertiary education is compartively high in Lithuania. (90.7 %, rank 2/39 , 2024) Download Indicator

    The employment rate among 55-64 year-old men with below upper secondary education is compartively low in Lithuania. (37.1 %, rank 36/39 , 2024) Download Indicator

    In Lithuania, the employment rate among 25-34 year-old women with vocational upper secondary or post-secondary non-tertiary education is comparatively low (62.8 %, rank 32/34 , 2024) Download Indicator

    In Lithuania, the share of employed 25-64 year-old men with vocational upper secondary or post-secondary non-tertiary education is relatively low, compared to other OECD and partner countries with available data. (78.5 %, rank 33/35 , 2024) Download Indicator

    Employment by field of education

    The employment rate among 25-64 year-olds with tertiary education who studied in the field of humanities (except languages), social sciences, journalism and information is high compared to other OECD and partner countries. (92.5 %, rank 1/28 , 2024) Download Indicator

    The employment rate among 25-64 year-olds with tertiary education who studied in the field of business, administration and law is high compared to other OECD and partner countries. (91.1 %, rank 3/28 , 2024) Download Indicator

    The employment rate among 25-64 year-olds with tertiary education who studied in the field of natural sciences, mathematics and statistics is high compared to other OECD and partner countries. (90.6 %, rank 5/27 , 2024) Download Indicator

    Unemployment and educational attainment

    The unemployment rate among 25-64 year-olds with a vocational upper secondary or post-secondary non-tertiary education is high compared to other OECD and partner countries. (9.2 %, rank 3/33 , 2024) Download Indicator

    Among the unemployed population aged between 25 and 64, with below upper secondary education, the share of those who have been unemployed for less than 3 months is one of the smallest in Lithuania, compared to other OECD countries. (16.3 %, rank 25/28 , 2024) Download Indicator

    The unemployment rate among 25-34 year-olds with a vocational upper secondary or post-secondary non-tertiary education is one of the highest of all OECD countries and partner economies for which data are available. (11.3 %, rank 3/33 , 2024) Download Indicator

    Unemployment by gender and educational attainment

    The unemployment rate among 25-34 year-old women with below upper secondary education is compartively high in Lithuania. (38.3 %, rank 3/35 , 2024) Download Indicator

    The employment rate among 25-34 year-old women with vocational upper secondary or a post-secondary non-tertiary education is comparatively high. (17.3 %, rank 3/31 , 2024) Download Indicator

    In Lithuania, the share of unemployed 25-64 year-old men with general upper secondary or post-secondary non-tertiary education is relatively high, compared to other OECD and partner countries with available data. (9.5 %, rank 2/33 , 2024) Download Indicator

    In Lithuania, the share of unemployed 25-64 year-old women with vocational upper secondary or post-secondary non-tertiary education is relatively high, compared to other OECD and partner countries with available data. (10.8 %, rank 4/33 , 2024) Download Indicator

    In Lithuania, the share of unemployed 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. (8.1 %, rank 5/32 , 2024) Download Indicator

    Inactivity and educational attainment

    The inactivity rate of 25-34 years-old adults with tertiary education is low in Lithuania. (4.4 %, rank 39/40 , 2024) Download Indicator

    In Lithuania, the inactivity rate of 25-34 year-olds with general upper secondary or post-secondary non-tertiary education is relatively low. (11.5 %, rank 33/35 , 2024) Download Indicator

    In Lithuania, 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. (4.3 %, rank 36/36 , 2024) Download Indicator

    In Lithuania, the inactivity rate of 25-64 year-olds with a bachelor's or equivalent tertiary education degree is one of the lowest among countries with available data. (5.9 %, rank 36/37 , 2024) Download Indicator

    In Lithuania, the inactivity rate of 25-64 year-olds with tertiary education is one of the lowest among countries with available data. (5.7 %, rank 38/40 , 2024) Download Indicator

    Inactivity by gender and educational attainment

    In Lithuania, the inactivity rate of 25-34 year-old women without an upper secondary education is relatively high. (68.8 %, rank 3/37 , 2024) Download Indicator

    In Lithuania, the inactivity rate of 25-34 year-old men with general upper secondary or post-secondary non-tertiary education is relatively low. (6.9 %, rank 31/33 , 2024) Download Indicator

    In Lithuania, the inactivity rate of 25-34 year-old women with tertiary education is relatively low. (5.9 %, rank 38/39 , 2024) Download Indicator

    In Lithuania, the inactivity rate of 25-64 year-old women with tertiary education is relatively low. (6.3 %, rank 38/40 , 2024) Download Indicator

    In Lithuania, the inactivity rate of 25-34 year-old men with tertiary education is relatively low. (2.7 %, rank 38/39 , 2024) Download Indicator

    Neither in education nor employed

    The share of women without an upper secondary education neither in employment nor in education and training (25-29 year-olds) in Lithuania is relatively high (100 %, rank 1/32 , 2024) Download Indicator

    The share of women with vocational upper secondary or post-secondary non-tertiary education neither in employment nor in education and training (25-29 year-olds) in Lithuania is relatively high (39.8 %, rank 3/28 , 2024) Download Indicator

    The share of men who are inactive NEET (18-24 year-olds) in Lithuania is relatively high. (13.2 %, rank 4/36 , 2024) Download Indicator

    The percentage of 18-24 year-old men neither employed nor in education or training is one of the highest among OECD countries and partner economies with available data. (19.4 %, rank 5/37 , 2024) Download Indicator


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    General findings
    
                            
    • Tertiary attainment among young adults has reached 48% on average across the OECD, the highest level ever, but progress has slowed since 2021. Attainment remains unequal, with women generally outpacing men, and older generations showing lower rates.
    • Employment outcomes for tertiary-educated adults remain strong overall: 87% of them are employed compared to 60% of those without upper seconday. Tertiary education offers good protection against unemployment, but women and disadvantaged groups still face labour market gaps, and inactivity persists among some adults. Moreover, adults with tertiary education earn on average 54% more than those with only upper secondary education.
    • Gender pay gaps remain significant. Despite higher attainment, women with tertiary education consistently earn less than men, even when working full-time, and this gap persists across age groups (73% on average for women aged 25 to 64).
    • Fields of study strongly influence labour market outcomes. Graduates in engineering and in health and welfare fare particularly well, while women’s participation in STEM remains below parity (14% of graduates at tertiary level) despite being 58% of all tertiary graduates.
    • Internationalisation continues to expand in tertiary education. The share of international students has grown steadily, and OECD countries host a large proportion of the world’s mobile students, reinforcing their global role in higher education.
    • Sustaining tertiary education requires adequate investment. Spending per student is already at 21 021 USD and rising, and tertiary expenditure represents a notable share of GDP (1.4% on average in OECD), making efficiency and equity crucial for long-term sustainability.
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    • Although many countries have near universal upper secondary attainment among 25–34 year-olds, on average across the OECD 13% of younger adults still lack an upper secondary qualification.
    • NEET shares are now below pre-pandemic levels in about half of OECD and partner countries with trend data; in 8 of these 16 countries the decline exceeds 1 percentage point, while 17 countries exceed pre-pandemic benchmarks and 6 saw increases of more than 2 percentage points.
    • Employment rates rise steadily with higher tertiary attainment: short-cycle 83%, bachelor’s 86%, master’s 90%, and doctoral or equivalent 93% among 25–64 year-olds.
    • Earnings premiums also increase with qualification level: on average across the OECD, short-cycle graduates earn 17% more than those with upper secondary; the advantage is 39% for bachelor’s and 83% for master’s/doctoral graduates.
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    • Most children aged 3 to 5 are enrolled in early childhood education, with an average participation rate of 85% across the OECD. By contrast, only 29% of children under the age of 3 are enrolled.
    • Participation in early childhood education has grown over the past decade, with enrolment for children under age 3 increasing by 9 percentage points to 29%, and enrolment for ages 3 and above rising by 5 points to 85%.
    • The majority of students in vocational upper secondary education follow programmes that grant full access to tertiary education, with 76% of students enrolled in such programmes on average across the OECD.
    • Completion rates for bachelor’s programmes increase after the theoretical duration of programmes: on average, 44% of students graduate on time, compared to 69% three years after.
    • Students from Asia form the largest regional group of internationally mobile students in tertiary education, representing 58% of all foreign or international students across the OECD in 2023.
    • Only 43% of students complete a bachelor’s degree within the expected duration, though this rises to 59% with one additional year and 70% with three additional years on average across the OECD.
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    • Governments spend on average USD 12 438 per student in primary, secondary and post-secondary non-tertiary education, and USD 15 102 per student in tertiary education including R&D.
    • Expenditure per student has risen in absolute terms since 2015, but its share in public budgets has declined, with government spending on education at almost 15% of total government expenditure on average in 2022.
    • Annual spending per student at primary and secondary levels varies widely across OECD countries, from under USD 3 000 in some systems to over USD 25 000 in the most highly funded ones.
    • Tertiary education continues to expand, placing pressure on public budgets. Private sources represent a larger share of total funding at the tertiary level than at any other level of education.
    • Spending per student differs markedly between public and private institutions, with expenditure in public tertiary institutions exceeding USD 33 000 in some countries, compared to less than USD 10 000 in others.
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    • Students in OECD countries receive an average of 7 604 hours of compulsory instruction during primary and lower secondary education, with total hours ranging widely across education systems.
    • Compulsory instruction time averages 804 hours per year for primary students and 909 hours for lower secondary students, a difference of about 105 hours annually.
    • The ratio of children to teachers in pre-primary education has fallen across most OECD countries, decreasing from an average of 15 children per teacher in 2013 to 13 in 2023.
    • Teachers’ statutory salaries increase with the level of education taught. On average, teachers with 15 years of experience earn USD 55 725 at pre-primary level and USD 63 925 at upper secondary level.
    • Teachers’ actual salaries are 83–91% of the earnings of similarly educated tertiary-educated workers, while school heads usually earn more than tertiary-educated workers on average across OECD countries.
    • The ratio of students to academic staff is lower in public than in private institutions, averaging about 14 students per staff member in public tertiary institutions compared to 18 in private ones.
    • Nearly half of OECD and partner countries operate non-selective admission systems for first degrees, providing broad access to tertiary education, while entrance exams and centralised systems are also common.
    • The salaries of academic staff in tertiary education vary by seniority. On average, junior staff earn about 62 000 USD, while senior staff earn about 108 000 USD.
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    Key
    Diagram of funding flows - Lithuania

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    Key
    Country Reviews for Lithuania

    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.
    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: https://www.oecd.org/en/about/members-partners.html

    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: 2026 for school year 2025/2026.

    *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 2024 for more details about the data collections.

    For additional notes, please refer to annexes in the list of links below the introductory country profile text.