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Lithuania
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Lithuania
Overview of the education system (EAG 2021)
  • In Lithuania, men are more likely than women to pursue a vocational track. In 2019, 66% of upper secondary vocational graduates were men, compared to 55% on average across OECD countries.
  • In Lithuania, 68% of 25-34 year-old women had a tertiary qualification in 2020 compared to 46% of their male peers.
  • In 2018, Lithuania invested a total of USD 6 550 per student on primary to tertiary institutions compared to USD 10 454 on average across OECD countries. This represents 3.4% of GDP, compared to 4.9% on average across OECD countries.
  • In 2019, 87% of 3-5 year-olds were enrolled in early childhood education and care programmes and primary education in Lithuania, compared to 88% on average across OECD countries.
  • Statutory salaries of teachers with maximum qualifications at the top of their salary scales are 40% to 51% higher than those of teachers with the minimum qualifications at the start of their career at pre-primary (ISCED 02), primary and general lower and upper secondary levels in Lithuania compared to 86% - 91% on average.
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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

    The level of below upper secondary attainment among 25-64 year-olds is one of the lowest among OECD and partner countries with available data. (6.4 %, rank 43/45 , 2020) Download Indicator

    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. (28.3 %, rank 5/46 , 2020) 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. (4.1 %, rank 44/44 , 2020) Download Indicator

    Attainment by gender

    The proportion of 25-34 year-old women who have attained tertiary education is one of the highest among OECD and partner countries with available data. (68.1 %, rank 4/45 , 2020) Download Indicator

    The share of 25-34 year-old women who attained below upper secondary education in Lithuania is one of the lowest among OECD and partner countries with available data. (4.5 %, rank 40/44 , 2020) Download Indicator

    Participation in education

    The enrolment rate of 6-14 year-olds in Lithuania is one of the highest among OECD and partner countries with available data. (100 %, rank 1/44 , 2019) Download Indicator

    The enrolment rate among 15-19 year-olds in Lithuania is one of the highest among OECD and partner countries with available data. (93.3 %, rank 4/43 , 2019) Download Indicator

    Graduation expectancy

    Lithuania has one of the highest percentages of young people expected to obtain a bachelor's or an equivalent degree before the age of 30. (46.8 %, rank 2/31 , 2019) Download Indicator

    The proportion of young people expected to be first-time graduates from post-secondary non-tertiary education before turning 30 is one of the highest among OECD countries and partner economies with available data. (10.3 %, rank 5/24 , 2019) 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. (16.3 %, rank 34/36 , 2019) Download Indicator

    In Lithuania, the share of first-time graduates in vocational programmes at post-secondary non-tertiary level is comparatively important . (100 %, rank 1/24 , 2019) 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. (34.3 %, rank 36/39 , 2019) Download Indicator

    In Lithuania, the share of female doctoral graduates in the field of Natural sciences, mathematics and statistics is relatively high. (60 %, rank 2/44 , 2019) Download Indicator

    In Lithuania, the share of female doctoral graduates in the field of business, administration and law is relatively high. (72.2 %, rank 2/43 , 2019) Download Indicator

    The share of male tertiary graduates in the field of science, technology, engineering and mathematics is relatively high in Lithuania. (49.3 %, rank 4/38 , 2019) Download Indicator

    Graduation by age

    In Lithuania, the average age of first-time tertiary graduates is relatively low. (23.9 Years, rank 25/28 , 2019) Download Indicator

    Graduation by field of education

    The proportion of female tertiary graduates in education is one of the lowest among OECD and partner countries. (7.7 %, rank 39/43 , 2019) Download Indicator

    The percentage of tertiary graduates in the field of education is one of the lowest among OECD and partner countries with available data. (5.9 %, rank 40/44 , 2019) 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. (47.4 %, rank 4/34 , 2019) Download Indicator

    In Lithuania, the proportion of upper secondary vocational graduates in the field of health and welfare is one of the lowest among OECD and partner countries with available data. (0.1 %, rank 30/34 , 2019) Download Indicator

    In Lithuania, the proportion of upper secondary vocational graduates in the field of services is one of the highest among OECD and partner countries with available data. (28.1 %, rank 3/34 , 2019) Download Indicator

    Fields of education

    In Lithuania, the percentage of new entrants to tertiary education in the field of education is relatively low. (3.3 %, rank 37/37 , 2019) Download Indicator

    The percentage of students enrolled in the field of education among all national tertiary students in Lithuania is relatively low. (4.7 %, rank 31/34 , 2019) Download Indicator

    In Lithuania,the share of male among new entrants in doctoral programmes enrolled in the field of natural sciences, mathematics ans statistics is relatively small. (37.9 %, rank 33/34 , 2019) Download Indicator

    In Lithuania, the share of male among new entrants in doctoral programmes enrolled in the field of information and communication technologies is relatively small. (50 %, rank 32/32 , 2019) Download Indicator

    Student mobility

    In Lithuania, the proportion of international graduates among first-time doctorate graduates is relatively low. (3.1 %, rank 27/28 , 2019) Download Indicator

    Student mobility by field of education

    The percentage of students enrolled in the field of social sciences, journalism and information among all international or foreign tertiary students in Lithuania is relatively high. (14.9 %, rank 5/33 , 2019) Download Indicator

    The percentage of students enrolled in the field of natural sciences, mathematics and statistics among all international or foreign tertiary students in Lithuania is relatively low. (2.4 %, rank 32/33 , 2019) Download Indicator

    In Lithuania, the percentage of international doctoral graduates in the field of health and welfare is one of the lowest among OECD and partner countries with available data. (0 %, rank 32/34 , 2019) Download Indicator

    Adult learning

    In Lithuania, the number of annual hours of participation of adults in formal and/or non-formal education and training is comparatively low (58 %, rank 24/26 , 2016) Download Indicator

    In Lithuania, the number of annual hours of participation of adults with upper secondary or post-secondary education in formal and/or non-formal education and training is comparatively low (54 %, rank 24/26 , 2016) Download Indicator

    In Lithuania, the number of annual hours of participation of adults with tertiary education in formal and/or non-formal education and training is comparatively low (60 %, rank 26/26 , 2016) Download Indicator

    The annual training costs per participant are one of the lowest across OECD countries and partner countries. (935.5 %, rank 22/25 , 2015) Download Indicator

    In enterprises of over 249 employed persons, the annual training costs per participant are relatively low in Lithuania. (852.5 %, rank 22/25 , 2015) Download Indicator

    In Lithuania, the annual training costs as a share of total labour costs is relatively low compared to other OECD countries and partner countries. (1.1 %, rank 21/25 , 2015) Download Indicator

    In enterprises of ver 249 employed persons, the annual training costs as a share of total labour costs is relatively low. (1.3 %, rank 22/25 , 2015) Download Indicator

    Adult participation in non-formal education

    In Lithuania, the proportion of employed adults participating in non-formal education and training is low compared to other OECD and partner countries. (33.4 %, rank 32/36 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in enterprises of 1-9 persons and participating in non-formal education and training is low compared to other OECD and partner countries. (21.5 %, rank 32/36 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in enterprises of over 249 persons and participating in non-formal education and training is low compared to other OECD and partner countries. (51.8 %, rank 32/35 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in the private sector and participating in non-formal education and training is low compared to other OECD and partner countries. (28 %, rank 33/36 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in the public sector and participating in non-formal education and training is low compared to other OECD and partner countries. (56.1 %, rank 32/36 , 2016) Download Indicator

    The percentage of employed adults participating in job-related non-formal education and training sponsored by the employer is relatively low. (22.9 %, rank 34/36 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in enterprises of 1-9 persons and participating in job-related non-formal education and training sponsored by the employer is low compared to other OECD and partner countries. (8.5 %, rank 34/36 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in enterprises of over of 249 persons and participating in job-related non-formal education and training sponsored by the employer is low compared to other OECD and partner countries. (44.3 %, rank 32/34 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in the private sector and participating in job-related non-formal education and training sponsored by the employer is relatively low. (19 %, rank 34/36 , 2016) Download Indicator

    In Lithuania, the proportion of adults employed in the public sector and participating in job-related non-formal education and training sponsored by the employer is relatively low. (40.6 %, rank 34/36 , 2016) Download Indicator

    The percentage of employed adults participating in non-job-related non-formal education and training not sponsored by the employer is relatively low in Lithuania. (1.5 %, rank 36/36 , 2016) Download Indicator

    Lithuania had one of the smallest share of adults employed in the private sector and participating in non-job-related non-formal education and training not sponsored by the employer. (1.5 %, rank 36/36 , 2016) Download Indicator

    In Lithuania, the number of annual hours of participation of adults in non-formal education and training is comparatively low (42 %, rank 33/36 , 2016) Download Indicator

    In Lithuania, the number of annual hours of participation of adults with upper secondary or post-secondary education in non-formal education and training is comparatively low (35 %, rank 33/36 , 2016) Download Indicator

    In Lithuania, the number of annual hours of participation of adults with tertiary education in non-formal education and training is comparatively low (45 %, rank 35/36 , 2016) Download Indicator

    Expenditure per student

    Annual expenditure per tertiary student is one of the lowest among OECD and partner countries with available data. (7641 USD Equivalent, rank 30/34 , 2018) Download Indicator

    Expenditure per student for core educational services on primary, secondary and post-secondary non-tertiary education in Lithuania is comparatively low. (6258 USD Equivalent, rank 23/27 , 2018) Download Indicator

    Expenditure per student for core educational services on tertiary education in Lithuania is comparatively low. (6636 USD Equivalent, rank 26/26 , 2018) Download Indicator

    Expenditure per student for core educational services on primary to tertiary education in Lithuania is comparatively low. (6347 USD Equivalent, rank 22/24 , 2018) Download Indicator

    The public expenditure on public educational institutions per full-time equivalent student at tertiary level is comparatively low in Lithuania. (7021 USD Equivalent, rank 33/36 , 2018) Download Indicator

    Expenditure in education and national wealth

    In Lithuania, expenditure on primary through tertiary educational institutions as a percentage of GDP is one of the lowest among OECD countries and partner economies. (3.4 %, rank 34/37 , 2018) Download Indicator

    In Lithuania, expenditure on primary educational institutions as a percentage of GDP is comparatively low. (0.7 %, rank 34/36 , 2018) Download Indicator

    In Lithuania, public and private expenditure on primary, secondary and post-secondary non-tertiary educational institutions as a percentage of GDP is comparatively low. (2.3 %, rank 37/37 , 2018) Download Indicator

    In Lithuania, 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 39/40 , 2018) Download Indicator

    In Lithuania, public expenditure on educational institutions as a percentage of GDP on primary to tertiary education from final source of funds is relatively low. (2.9 %, rank 37/40 , 2018) Download Indicator

    In Lithuania, expenditure on educational institutions as a percentage of GDP for tertiary education is low compared to 2015. (72 Index, rank 30/32 , 2018) Download Indicator

    In Lithuania, expenditure on educational institutions as a percentage of GDP for primary to tertiary education is low compared to 2015. (86 Index, rank 29/32 , 2018) Download Indicator

    In Lithuania, international expenditure as a percentage of GDP on primary to post-secondary non-tertiary education from initial source of funds is relatively high. (0.1 %, rank 3/28 , 2018) Download Indicator

    The average annual growth in the number of full-time equivalent student (2012 to 2018) at primary, secondary and post-secondary non-tertiary level is comparatively small in Lithuania. (-2.7 %, rank 36/37 , 2018) Download Indicator

    In Lithuania, the public expenditure as a percentage of GDP from initial source of funds on primary to post-secondary non-tertiary level is low. (2.1 %, rank 25/26 , 2018) Download Indicator

    In Lithuania, the international expenditure as a percentage of GDP from initial source of funds on primary to tertiary education is high. (0 USD Equivalent, rank 2/29 , 2018) Download Indicator

    From 2012 to 2018, the average annual growth in the number of full-time equivalent student from primary to tertiary education is one of the smallest in Lithuania among OECD and partner countries with available data. (-3.1 %, rank 35/35 , 2018) 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. (2.7 %, rank 25/25 , 2018) Download Indicator

    From 2012 to 2018, the average annual growth in total expenditure on primary to tertiary education in Lithuania is one of the smallest among OECD and partner countries with available data. (-1.4 %, rank 30/30 , 2018) 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 3/30 , 2018) Download Indicator

    From 2012 to 2018, the average annual growth in the number of full-time equivalent student in tertiary education is one of the smallest in Lithuania. (-4.2 %, rank 34/37 , 2018) Download Indicator

    At tertiary level, the public expenditure as a percentage of GDP from initial source of funds is comparatively low in Lithuania. (0.6 %, rank 24/27 , 2018) Download Indicator

    From 2012 to 2018, the average annual growth in total expenditure on tertiary education in Lithuania is one of the lowest among OECD and partner countries with available data. (-4.6 %, rank 29/30 , 2018) Download Indicator

    Public and private expenditure in education

    Compared to 2015, the share of public expenditure on educational institutions as a percentage of total government expenditure, for primary to tertiary education is comparatively small. (89 Index, rank 33/36 , 2018) Download Indicator

    In Lithuania, international expenditure from initial source of funds on primary, secondary and post-secondary non-tertiary education is relatively high. (4.8 %, rank 3/29 , 2018) Download Indicator

    The relative share of international expenditure on primary to tertiary education from initial source of funds is relatively large in Lithuania. (8.1 %, rank 3/29 , 2018) Download Indicator

    The relative share of international expenditure on tertiary education from initial source of funds in Lithuania is one of the highest among OECD and partner countries with available data. (15.4 %, rank 3/29 , 2018) Download Indicator

    Teachers

    The number of hours per year lower secondary teachers spend teaching in public institutions is comparatively high in Lithuania. (854 Hours, rank 5/32 , 2020) Download Indicator

    The number of days of instruction in a school year in primary school is especially low. (173 Days, rank 28/32 , 2020) Download Indicator

    The number of hours per year pre-primary teachers spend teaching in public institutions is comparatively low in Lithuania. (640 Hours, rank 24/25 , 2020) Download Indicator

    Who the teachers are

    The share of women among teaching staff in primary education is one of the largest among OECD and partner countries with available data. (96.7 %, rank 2/44 , 2019) 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 3/40 , 2019) 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. (78.2 %, rank 2/42 , 2019) Download Indicator

    The share of women among teaching staff in tertiary education (bachelor's, master's, doctorate or equivalent education) is one of the largest among OECD and partner countries with available data. (55.3 %, rank 1/32 , 2019) 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. (55.3 %, rank 2/39 , 2019) Download Indicator

    The share of women among teaching staff is one of the largest among OECD and partner countries with available data. (81.9 %, rank 4/34 , 2019) Download Indicator

    The percentage of primary teachers younger than 30 is especially low. (5 %, rank 36/38 , 2019) Download Indicator

    The percentage of lower secondary teachers younger than 30 is especially low. (3.4 %, rank 32/35 , 2019) Download Indicator

    The percentage of upper secondary teachers younger than 30 is especially low. (2.9 %, rank 34/37 , 2019) Download Indicator

    The percentage of primary to upper secondary teachers younger than 30 is especially low. (3.7 %, rank 35/37 , 2019) Download Indicator

    The percentage of primary teachers aged between 30 and 49 is especially low. (44.2 %, rank 36/38 , 2019) Download Indicator

    The percentage of lower secondary teachers aged between 30 and 49 is especially low. (41.7 %, rank 33/35 , 2019) Download Indicator

    The percentage of upper secondary teachers aged between 30 and 49 is especially low. (39.7 %, rank 35/37 , 2019) Download Indicator

    The percentage of primary to upper secondary teachers aged between 30 and 49 is especially low. (41.9 %, rank 35/37 , 2019) Download Indicator

    The percentage of primary to upper secondary teachers older than 50 is especially high. (54.4 %, rank 2/37 , 2019) Download Indicator

    The share of women among teaching staff in general upper secondary education in Lithuania is relatively large. (80.9 %, rank 2/32 , 2019) Download Indicator

    In Lithuania, the share of women among teaching staff in vocational upper secondary education is one of the highest among OECD and partner countries with available data. (70.7 %, rank 3/30 , 2019) Download Indicator

    Females aged 50 or more represent a large proportion of teachers in primary education in Lithuania. (97.8 %, rank 1/38 , 2019) Download Indicator

    The percentage of female teachers aged 50 or more in lower secondary education is especially high in Lithuania. (82.2 %, rank 4/35 , 2019) Download Indicator

    The percentage of female teachers aged 50 or more in upper secondary education is especially high in Lithuania. (78.4 %, rank 2/37 , 2019) Download Indicator

    The percentage of female teachers aged 50 or more in tertiary education is especially high in Lithuania. (53.3 %, rank 2/33 , 2019) Download Indicator

    Teachers' salaries

    The ratio of pre-primary teachers' salaries to earnings of full-time, full-year workers with tertiary education is one of the highest among OECD and partner countries with available data. (1.19 Ratio, rank 2/21 , 2020) Download Indicator

    The ratio of lower secondary teachers' salaries to earnings of full-time, full-year workers with tertiary education is one of the highest among OECD and partner countries with available data. (1.19 Ratio, rank 4/25 , 2020) 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. (39 USD Equivalent, rank 24/28 , 2020) 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. (39 USD Equivalent, rank 24/28 , 2020) 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. (26484 USD Equivalent, rank 24/27 , 2020) Download Indicator

    Teachers' salaries progression

    Salaries of primary school teachers with minimum training at the top of scale are especially low. (29290 USD Equivalent, rank 30/34 , 2020) Download Indicator

    Salaries of upper secondary teachers with minimum training at the top of scale are especially low. (29290 USD Equivalent, rank 31/34 , 2020) Download Indicator

    Salaries of pre-primary teachers with minimum training after 10 years of experience are especially low. (20957 USD Equivalent, rank 24/28 , 2020) Download Indicator

    Salaries of pre-primary teachers with minimum training at the top of scale are especially low. (21808 USD Equivalent, rank 27/28 , 2020) Download Indicator

    Ratio of student to teaching staff

    The ratio of students to teaching staff at the upper secondary level is especially low. (9.4 Ratio, rank 39/42 , 2019) 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. (9.3 Ratio, rank 31/33 , 2019) Download Indicator

    In Lithuania, the number of students per teacher in public upper secondary education is one of the lowest among OECD and partner countries with available data. (9.4 Ratio, rank 38/42 , 2019) Download Indicator

    Organisation of the education system

    The average hours per year dedicated to compulsory instruction time for primary students in Lithuania is one of the lowest among OECD and partner countries with available data. (645 Hours, rank 34/37 , 2021) Download Indicator

    In Lithuania, total intended instruction time for primary students is relatively short. (2794 Hours, rank 26/29 , 2021) Download Indicator

    In Lithuania, total compulsory instruction time for lower secondary students is relatively long. (5003 Hours, rank 1/37 , 2021) Download Indicator

    In Lithuania, total intended instruction time for lower secondary students is relatively long. (5715 Hours, rank 1/29 , 2021) Download Indicator

    Class size

    In Lithuania, classes in primary education are comparatively small. (17 Students, rank 29/32 , 2018) Download Indicator

    Employment and educational attainment

    The employment rate among 25-64 year-olds with tertiary education is comparatively high. (89.9 %, rank 2/45 , 2020) Download Indicator

    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. (89.2 %, rank 2/45 , 2020) Download Indicator

    The employment rate among 25-64 year-olds with a doctoral or equivalent tertiary education degree is high compared to other OECD and partner countries. (99.4 %, rank 1/36 , 2020) Download Indicator

    The employment rate among 25-34 year-olds with tertiary education is compartively high in Lithuania. (90.4 %, rank 3/44 , 2020) Download Indicator

    Employment by gender and educational attainment

    The employment rate among 25-34 year-old men with below upper secondary education is compartively low in Lithuania. (57 %, rank 40/43 , 2020) Download Indicator

    The employment rate among 25-34 year-old women with tertiary education is compartively high in Lithuania. (89.9 %, rank 2/44 , 2020) Download Indicator

    Unemployment and educational attainment

    The unemployment rate among 25-34 year-olds with below upper secondary education is comparatively high. (23.6 %, rank 5/42 , 2020) Download Indicator

    The inactivity rate of 25-34 years-old adults with tertiary education is low in Lithuania. (5.4 %, rank 44/44 , 2020) 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. (13.2 %, rank 37/39 , 2020) 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. (18.5 %, rank 4/33 , 2020) Download Indicator

    Earnings and educational attainment

    The earnings of adults without an upper secondary education are relatively high compared to those of adults with an upper secondary or a post-secondary non-tertiary education. (86 Index, rank 5/37 , 2019) Download Indicator

    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. (180 Index, rank 5/37 , 2019) 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. (167 Index, rank 5/34 , 2019) Download Indicator

    The gap in average earnings between 25-64 year-old women with a bachelor's or equivalent degree and those with upper secondary or post-secondary non-tertiary education is one of the highest among OECD and partner countries with available data. (166 Index, rank 5/34 , 2019) Download Indicator

    Earnings, gender and educational attainment

    The earnings of women without an upper secondary education are relatively high compared to those of women with an upper secondary education. (95 Index, rank 2/37 , 2019) Download Indicator

    Neither in education nor employed

    The share of youth neither employed nor in education or training (15-19 year-olds) in Lithuania is relatively low. (2.3 %, rank 39/39 , 2020) Download Indicator

    In Lithuania, the proportion of young men who are neither employed nor in education or training among 15-19 year-olds is comparatively small. (2.8 %, rank 36/38 , 2020) Download Indicator

    In Lithuania, the percentage of women neither employed nor in education or training among 15-19 year-olds is relatively low. (1.8 %, rank 37/37 , 2020) Download Indicator

    Social outcomes

    The percentage of 25-64 year-olds with upper secondary or post-secondary non-tertiary education who believe they have a say in government is among the lowest across OECD and partner countries. (7.7 %, rank 28/28 , 2018) Download Indicator

    In Lithuania, the proportion of adults without an upper secondary education who reported being interested in politics is high compared to other OECD and partner countries. (63.3 %, rank 4/25 , 2018) Download Indicator

    In Lithuania, the proportion of adults who reported that the political system allows people like them to have a say in what the government does is low compared to other OECD and partner countries. (9.5 %, rank 28/28 , 2018) Download Indicator

    In Lithuania, the proportion of adults without an upper secondary education who reported that the political system allows people like them to have a say in what the government does relatively is low. (5.5 %, rank 25/25 , 2018) Download Indicator

    In Lithuania, the proportion of adults with a tertiary education who reported that the political system allows people like them to have a say in what the government does relatively is low. (15.6 %, rank 28/28 , 2018) Download Indicator

    Participation in education by gender

    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. (56.7 %, rank 3/42 , 2019) Download Indicator

    Entrance

    The proportion of youth (excluding international students) expected to enter bachelor's or equivalent programme before the age of 25 is comparatively high in Lithuania. (58 %, rank 5/32 , 2019) Download Indicator


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    General findings
    
                            
    • One in five adults across the OECD has not attained upper secondary education.
    • In 2020, the unemployment rate of adults that had not completed upper secondary education was almost twice as high as those with higher qualifications, and 27% of these adults earn only at or below half the median on average across OECD countries.
    • In 2019, at least 10% of school-aged youth were not in school in about a quarter of OECD countries.
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    • In 2019, women made up 55% of new entrants to tertiary education on average. If current patterns continue, it is expected that 46% of young women will graduate with a tertiary degree for the first time before they turn 30, 15 percentage points more than men.
    • Women also earn on average about 76-78% of men’s salaries regardless of educational attainment, although the gender gap narrowed by 2 percentage points between 2013 and 2019.
    • Women are less likely than men to enter a STEM field of study, and the average share remained generally stable between 2013 and 2019.
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    • On average across countries, expenditure on educational institutions amounted to approximately USD 9 300 per student at pre-primary level; USD 10 500 at primary, secondary and post-secondary non tertiary level; and USD 17 100 at tertiary level.
    • The public sector funds 90% of total expenditure on primary and secondary institutions on average, often compulsory in most OECD countries, compared to 83% at pre-primary level and 66% at tertiary level.
    • In 2018, the OECD countries spent on average 4.9% of their Gross Domestic Product (GDP) on primary to tertiary educational institutions.
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    • In 2019, less than 5% of pre-primary teachers were men, compared to 18% at primary level, 40% at upper secondary level and more than 50% at tertiary level on average.
    • Between 2005 and 2020, on average across OECD countries and economies with available data for all reference years, the statutory salaries of teachers with 15 years of experience and the most prevalent qualifications increased by 3% at primary level, 4% at lower secondary level (general programmes) and 2% at upper secondary level (general programmes).
    • In most countries, teachers above 50 years of age make up more than a third of the teaching force.
    • Attracting male teachers to the profession can be difficult: While the average actual salary of female teachers is equal to or higher than the average salary of other full-time, tertiary-educated women, primary and secondary male teachers earn between 76% and 85% of the average earnings of other full-time, tertiary-educated men.
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    • On average across OECD countries, 87% of children aged 3-5 are enrolled in education on average across OECD countries compared to 25% for children below the age of 3.
    • There are 15 children for every teacher at pre-primary level on average across OECD countries.
    • Half of children enrolled in early childhood development services and a two-thirds of pre-primary children attend public institutions on average across OECD countries
    Visualisations
    Click the arrow sign next to the title: arrows to display other variables
    Click the arrow sign next to the title: arrows to display other variables
    Click the arrow sign next to the title: arrows to display other variables
    Key
    Diagram of funding flows - Lithuania

    Click on the coverpage to see the full OECD iLibrary version
    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: http://www.oecd.org/about/membersandpartners/

    *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.