 Lithuania | |||
| Statutory number of members (As of February 16, 2023) | 141 [30/38 countries] | ||
| Inhabitants per parliamentarian (2021) | 20,794 [33/38 countries] | ||
| % of women in parliament (As of February 16, 2023) | 28.37% [27/38 countries] | ||
| % of MPs 40 years of age or younger (As of February 16, 2023) | 29.08% [7/38 countries] | ||
| Women in ministerial positions (% of all ministers) (2021) | 42.9% [11/38 countries] | ||
| % of those who trust politicians (2014) | 6.8% [26/26 countries] | ||
| % of those who trust politicians (2010) | 6.2% [28/29 countries] | ||
| % of those who think that most politicians are in politics only for what they can get out of it personally (2010) | 82.3% [3/29 countries] | ||
| % of those who think that many politicians are involved in corruption (2016) | 77.7% [3/25 countries] | ||
| % of those who think that most politicians are in politics only for their own interest (2014) | 73.8% [6/26 countries] |
| Lithuania | |||
| % of those who have confidence in parliament (2018) | 38.6% [19/24 countries] | ||
| % of those who think that MPs try to keep the promises they have made during the election (2016) | 6.3% [24/25 countries] | ||
| % of those who think that the parliament considers your action if you take action against an unjust or harmful law (2014) | 6.1% [26/26 countries] |
| Lithuania | |||
| % of those who think that it is worse to convict an innocent person than to let a guilty person go free (2016) | 73.7% [15/25 countries] | ||
| % of those who follow conscience rather than law on occasions (2 choices) (2016) | 61.1% [6/25 countries] | ||
| Extent to which people think that it is important, in order to be a good citizen, always to obey laws and regulations (2014) | 6.07 [17/26 countries] | ||
| Extent to which people trust the courts (2017) | 5.22 [15/21 countries] |
| Lithuania | |||
| Fertility rate, total (births per woman) (2020) | 1.48 [25/38 countries] | ||
| Crude birth rate (per 1,000 people) (2020) | 9.0 [30/38 countries] | ||
| Mean age of women at childbirth (2020) | 30.4 [26/38 countries] | ||
| % of those who think that their ideal number of children is 3 or more (2012) | 36.0% [16/25 countries] | ||
| Maternal mortality ratio (per 100,000 live births) (2017) | 8 [13/38 countries] | ||
| Infant mortality rate (deaths per 1,000 live births) (2020) | 2.7 [24/38 countries] | ||
| Under-five mortality rate (per 1,000 live births) (2020) | 3 [24/38 countries] | ||
| Adolescent fertility rate (Births per 1,000 women aged 15-19) (2020) | 8.9 [15/38 countries] | ||
| % of births outside of marriage (2018) | 26.4% [30/37 countries] | ||
| % of those who think that it is wrong for a woman to have an abortion if her family cannot afford any more children (2018) | 51.5% [5/24 countries] |
| Lithuania | |||
| GDP (current US$, billions) (2021) | 65.479 [33/38 countries] | ||
| GDP per capita (current US$) (2021) | 23,473 [28/38 countries] | ||
| GDP per capita (PPP, current international$) (2021) | 42,944 [25/38 countries] | ||
| GNI per capita, Atlas method (current US$) (2021) | 21,610 [27/37 countries] | ||
| Labour Productivity (GDP per hour worked, current PPP US$) (2020) | 49.8 [22/35 countries] | ||
| Shadow economy, as % of GDP (2015) | 18.7% [12/38 countries] | ||
| % of those who think that the economy is the most important issue for their country (2010) | 26.5% [15/28 countries] | ||
| Total reserves (includes gold, 100 million US$) (2021) | 56 [34/38 countries] | ||
| % of those who agree that the government is responsible for providing industry with the help it needs to grow (2016) | 79.0% [13/25 countries] |
| Lithuania | |||
| % of currency and deposits in household financial assets | 39.0% (2020) [13/36 countries] |
| Lithuania | |||
| Manufacturing, value added (% of GDP) | 16.1% (2021) [14/38 countries] | ||
| % of employment of small and medium sized companies (1-249 employees) in manufacturing | 63.3% (2019) [9/34 countries] |
| Lithuania | |||
| Tourism, employment, % of total employment | 5.1% (2019) [22/31 countries] | ||
| % of employment of small and medium sized companies (1-249 employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 74.1% (2019) [9/32 countries] | ||
| % of employment of large companies (250 and more employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 25.9% (2019) [24/32 countries] |
| Lithuania | |||
| Extent to which people trust major private companies (2017) | 5.03 [7/21 countries] | ||
| % of those who have confidence in business and industry (2018) | 75.5% [11/24 countries] | ||
| % of those who think that private enterprise is the best way to solve their country's economic problems (2010) | 46.1% [10/29 countries] | ||
| % of those who think that major private companies comply with laws and regulations (2016) | 49.2% [11/25 countries] | ||
| % of those who think that major private companies try to avoid paying their taxes (2016) | 43.3% [21/25 countries] | ||
| % of those who agree that large international companies are doing more and more damage to local businesses in the country (2013) | 50.7% [15/26 countries] | ||
| % of those who have joined in boycotts (2014) | 10.4% [22/26 countries] |
| Lithuania | |||
| New business density (new registrations per 1,000 people ages 15-64) (2020) | 2.97 [21/31 countries] | ||
| Cost of business start-up procedures (% of GNI per capita) (2019) | 0.5% [31/38 countries] |
| Lithuania | |||
| Share of self-employed who are own-account workers, men, % of total employed | 11.1% (2020) [14/31 countries] | ||
| Share of self-employed who are own-account workers, women, % of total employed | 6.6% (2020) [16/31 countries] |
| Lithuania | |||
| Part-time employment - male | 2.7% (2021) [34/37 countries] | ||
| Part-time employment - female | 6.0% (2021) [35/37 countries] | ||
| Temporary employment - male as % of dependent employment | 1.9% (2021) [35/36 countries] | ||
| Temporary employment - female as % of dependent employment | 1.9% (2021) [35/36 countries] | ||
| Temporary employment - 15-24 years as % of dependent employment | 6.7% (2021) [34/36 countries] | ||
| % of those willing to accept temporary employment to avoid unemployment (2015) | 62.0% [18/27 countries] |
| Lithuania | |||
| % of those who do any work for additional income in addition to their main job (2015) | 18.9% [11/27 countries] |
| Lithuania | |||
| Public expenditure for active labor policy, % of GDP | 0.21% (2019) [24/32 countries] |
| Lithuania | |||
| % of those who can make much use of their past work experience and /or job skills in their present job (2015) | 52.1% [26/27 countries] | ||
| % of those who have got training to improve job skills over the past 12 months (2015) | 47.1% [17/27 countries] | ||
| % of those willing to accept a job that requires new skills to avoid unemployment (2015) | 80.9% [20/27 countries] |
| Lithuania | |||
| Trade union participation (% of total employment) | 7.4% (2019) [37/38 countries] | ||
| % of those who belong to a trade union, business, or professional association (2014) | 6.8% [23/26 countries] | ||
| % of those who think that workers need strong trade unions to protect their interests (2015) | 81.7% [2/27 countries] | ||
| % of those who think that strong trade unions are bad for the economy of their country (2015) | 7.9% [25/27 countries] | ||
| % of those who think that trade unions have the most influence on the actions of the government (2016) | 5.4% [14/25 countries] | ||
| % of those who think that there is strong conflicts between management and workers (2019) | 35.5% [12/20 countries] | ||
| % of those who think that there is strong conflicts between management and workers (2009) | 44.2% [14/30 countries] | ||
| % of those who describe relations at their workplace between management and employees as good (2015) | 67.3% [21/27 countries] |
| Lithuania | |||
| % of those who always/ often have to do hard physical work (2015) | 28.5% [9/27 countries] |
| Lithuania | |||
| % of those who take part in voluntary work once a month or more (2011-2017) | 4.2% [28/28 countries] | ||
| % of those who never take part in voluntary work (2011-2017) | 89.4% [1/28 countries] | ||
| % of those who take part in activities of charitable or religious organisations that do voluntary work once a month or more (2017) | 3.2% [20/21 countries] | ||
| % of those who never take part in activities of charitable or religious organisations that do voluntary work (2017) | 80.7% [3/21 countries] | ||
| Time spent for volunteering (men and women, minutes per day per person) | 0.0 (2003) [26/28 countries] | ||
| Time spent for volunteering (men, minutes per day per person) | 0.4 (2003) [23/28 countries] | ||
| Time spent for volunteering (women, minutes per day per person) | 0.0 (2003) [25/28 countries] |
| Lithuania | |||
| Pre-school enrolment rates, children aged 0 to 2 year old | 24.8% (2017) [27/37 countries] | ||
| Pre-school enrolment rates, children aged 3 to 5 year old | 85.0% (2017) [25/37 countries] |
| Lithuania | |||
| Average class size in primary education (public and private) | 17.3 (2018) [28/31 countries] | ||
| Average class size in primary education (public) (2018) | 17.4 [30/34 countries] | ||
| Average class size in primary education (private) | 15.6 (2018) [26/31 countries] | ||
| Ratio of students to teaching staff in primary schools (public and private) (2018) | 11.2 [31/38 countries] | ||
| Ratio of students to teaching staff in primary schools (public) (2018) | 11.3 [31/38 countries] | ||
| Ratio of students to teaching staff in primary schools (private) (2018) | 10.0 [31/36 countries] | ||
| Annual number of hours of compulsory instruction in primary education (2019) | 613 [33/35 countries] |
| Lithuania | |||
| % of Grade 4 students who have their own room (2019) | 61.6% [25/28 countries] | ||
| % of Grade 4 students who have internet connection at home (2019) | 96.9% [8/28 countries] | ||
| % of Grade 4 students who have internet connection at home (2007) | 92.6% [6/19 countries] | ||
| % of Grade 4 students who have their own mobile phone (2019) | 95.3% [6/28 countries] |
| Lithuania | |||
| % of the parents of Grade 4 students who expect their child to finish undergraduate or postgraduate degree (2019) | 78.7% [6/23 countries] | ||
| % of the parents of Grade 4 students who expect their child to finish postgraduate degree (2019) | 32.1% [12/23 countries] |
| Lithuania | |||
| Average class size in lower secondary education (public and private) | 19.3 (2018) [28/32 countries] | ||
| Average class size in lower secondary education (public) | 19.3 (2018) [28/33 countries] | ||
| Average class size in lower secondary education (private) | 20.2 (2018) [19/32 countries] | ||
| Ratio of students to teaching staff in lower secondary education (public and private) (2018) | 7.6 [34/34 countries] | ||
| Ratio of students to teaching staff in lower secondary education (public) (2018) | 7.6 [34/34 countries] | ||
| Ratio of students to teaching staff in lower secondary education (private) (2018) | 8.5 [27/32 countries] |
| Lithuania | |||
| % of Grade 8 students who have their own room (2019) | 80.9% [14/17 countries] | ||
| % of Grade 8 students who have their own room (2011) | 72.7% [12/15 countries] | ||
| % of Grade 8 students who have internet connection at home (2019) | 99.1% [3/18 countries] | ||
| % of Grade 8 students who have internet connection at home (2011) | 90.8% [12/16 countries] | ||
| % of Grade 8 students who have their own mobile phone (2019) | 99.2% [3/18 countries] |
| Lithuania | |||
| % of Grade 8 students who expect them to finish undergraduate or postgraduate degree (2019) | 68.4% [6/18 countries] | ||
| % of Grade 8 students who expect them to finish postgraduate degree (2019) | 12.2% [16/18 countries] |
| Lithuania | |||
| Performance on the reading (15 years old, average score) (2018) | 475.87 [27/37 countries] | ||
| Performance on the reading (15 years old, average score) (2015) | 472 [30/38 countries] | ||
| Performance on the mathematics (15 years old, average score) (2018) | 481.19 [29/38 countries] | ||
| Performance on the mathematics (15 years old, average score) (2015) | 478 [28/38 countries] | ||
| Performance on the science (15 years old, average score) (2018) | 482.07 [26/38 countries] | ||
| Performance on the science (15 years old, average score) (2015) | 475 [29/38 countries] | ||
| % of 15 year old students who have ever repeated a grade (2009) | 3.9% [29/37 countries] |
| Lithuania | |||
| % of 15-year-old students who have a computer they can use for school work in their home (2018) | 95.5% [5/38 countries] | ||
| % of 15-year-old students who have classic literature in their home (2018) | 51.8% [16/38 countries] | ||
| % of 15-year-old students who have books of poetry in their home (2018) | 53.1% [9/38 countries] | ||
| % of 15-year-old students who have works of art (e.g. paintings) in their home (2018) | 71.3% [11/38 countries] | ||
| % of 15-year-old students who have musical instruments (e.g. guitar, piano) in their home (2018) | 41.5% [8/38 countries] |
| Lithuania | |||
| % of 15-year olds who read emails several times a day (2018) | 11.3% [13/38 countries] | ||
| % of 15-year olds who chat on line several times a day (2018) | 43.5% [38/38 countries] | ||
| % of 15-year olds who read online news several times a day (2018) | 28.5% [15/38 countries] | ||
| % of 15-year olds who search information online to learn about a particular topic several times a day (2018) | 40.6% [4/38 countries] | ||
| % of 15-year olds who take part in online group discussions or forums several times a day (2018) | 18.5% [4/38 countries] | ||
| % of 15-year olds who search for practical information online several times a day (2018) | 27.7% [6/38 countries] |
| Lithuania | |||
| % of those who agree that there were many words they could not understand in the PISA test (2018) | 19.4% [11/38 countries] | ||
| % of those who agree that many texts were too difficult for them in the PISA test (2018) | 17.0% [15/38 countries] | ||
| % of those who agree that they were lost when they had to navigate between different pages in the PISA test (2018) | 10.0% [36/38 countries] |
| Lithuania | |||
| % of 15-year-olds who think that their life has clear meaning or purpose (2018) | 70.2% [8/34 countries] | ||
| % of 15-year-olds who have discovered a satisfactory meaning in life (2018) | 61.4% [17/34 countries] | ||
| % of 15-year-olds who have a clear sense of what gives meaning to their life (2018) | 69.4% [4/34 countries] |
| Lithuania | |||
| % of 15-year-olds who always feel happy (2018) | 42.8% [13/33 countries] | ||
| % of 15-year-olds who always feel scared (2018) | 3.0% [21/33 countries] | ||
| % of 15-year-olds who always feel lively (2018) | 32.2% [16/33 countries] | ||
| % of 15-year-olds who always feel miserable (2018) | 5.3% [19/33 countries] | ||
| % of 15-year-olds who always feel proud (2018) | 18.7% [16/33 countries] | ||
| % of 15-year-olds who always feel afraid (2018) | 4.7% [25/33 countries] | ||
| % of 15-year-olds who always feel joyful (2018) | 40.8% [17/33 countries] | ||
| % of 15-year-olds who always feel sad (2018) | 5.8% [16/33 countries] | ||
| % of 15-year-olds who always feel cheerful (2018) | 45.6% [10/33 countries] |
| Lithuania | |||
| % of 15-year olds who usually manage one way or another (2018) | 87.4% [12/37 countries] | ||
| % of 15-year olds who feel proud that they have accomplished things (2018) | 86.1% [12/37 countries] | ||
| % of 15-year olds who feel that they can handle many things at a time (2018) | 69.9% [16/37 countries] | ||
| % of 15-year olds who can usually find their way out in a difficult situation (2018) | 82.7% [10/37 countries] |
| Lithuania | |||
| % of 15-year olds who feel like an outsider (or left out of things) (2018) | 25.6% [5/37 countries] | ||
| % of 15-year olds who make friends easily at school (2018) | 69.3% [27/37 countries] | ||
| % of 15-year olds who feel like they belong at school. (2018) | 54.0% [35/37 countries] | ||
| % of 15-year olds who feel awkward and out of place in their school. (2018) | 27.0% [2/37 countries] | ||
| % of 15-year olds who think that other students seem to like them (2018) | 66.5% [36/37 countries] | ||
| % of 15-year olds who feel lonely at school (2018) | 23.0% [2/37 countries] |
| Lithuania | |||
| % of 15-year olds who think that their parents support their educational efforts and achievements (2018) | 79.5% [26/36 countries] | ||
| % of 15-year olds who think that their parents support them when they are facing difficulties at school (2018) | 79.2% [22/36 countries] | ||
| % of 15-year olds who think that their parents encourage them to be confident (2018) | 82.3% [14/36 countries] |
| Lithuania | |||
| Average hours per week to spend learning foreign language out of school (2015) | 4.00 [17/38 countries] | ||
| Dispersion (S.E.) of hours per week to spend learning foreign language out of school (2015) | 0.065 [32/38 countries] |
| Lithuania | |||
| Number of Nobel prize lauriates (by place of birth) (2020) | 3 [23/36 countries] | ||
| Gross Domestic Expenditure on R&D (GERD) at current PPP million $ | 1,074 (2019) [33/37 countries] | ||
| Gross Domestic Expenditure on R&D (GERD) as % of GDP | 0.99% (2019) [32/37 countries] | ||
| % of GERD financed by the business and enterprise sector | 38.0% (2018) [32/36 countries] | ||
| % of GERD financed by government | 32.4% (2018) [16/36 countries] | ||
| Total researchers per thousand total employment | 6.91 (2019) [28/34 countries] | ||
| % women among researchers | 49.0% (2018) [2/31 countries] |
| Lithuania | |||
| % of those who think that scientific advances harm mankind (5 choices) (2010) | 19.4% [17/29 countries] | ||
| % of those who agree that we believe too often in science and not enough in feelings and faith (2010) | 37.2% [15/29 countries] | ||
| % of those who are proud of their country in its scientific and technological achievements (2013) | 68.5% [23/26 countries] |
| Lithuania | |||
| E-Government Development Index (2020) | 0.8665 [18/38 countries] | ||
| E-Participation Index (as a component of E-Government Development Index) (2020) | 0.7381 [30/38 countries] | ||
| Online Service Index (as a component of E-Government Development Index) (2020) | 0.8529 [18/38 countries] | ||
| Human Capital Component (as a component of E-Government Development Index) (2020) | 0.9218 [16/38 countries] | ||
| Telecomm Infrustrcture Index (as a component of E-Government Development Index) (2020) | 0.8249 [21/38 countries] |
| Lithuania | |||
| Bird species, threatened (2018) | 10 [28/38 countries] | ||
| Fish species, threatened (2018) | 6 [32/38 countries] | ||
| Mammal species, threatened (2018) | 2 [31/38 countries] | ||
| Plant species (higher), threatened (2018) | 1 [31/38 countries] | ||
| Terrestrial protected areas (% of total land area) (2018) | 17.0% [27/38 countries] | ||
| Marine protected areas (% of territorial waters) (2018) | 25.6% [11/32 countries] | ||
| % of those who think that gene modification is very dangerous for the environment (2010) | 77.5% [3/29 countries] | ||
| % of those who think that genetically modified foods are the most important environmental problem for their country (2010) | 18.3% [2/29 countries] |
| Lithuania | |||
| % of those who think that modern life harms the environment (2010) | 51.5% [9/29 countries] | ||
| % of those who think that environmental problems have a direct effect on their everyday life (2010) | 38.8% [13/29 countries] | ||
| % of those who think that people worry too much about human progress harming the environment (2010) | 23.8% [27/29 countries] | ||
| % of those who think that there are more important things in life than environment (2010) | 38.8% [7/29 countries] | ||
| % of those who think that modern science will solve our environmental problems (2010) | 31.1% [8/29 countries] |
| Lithuania | |||
| % of those who would cut standard of living for the environment (2010) | 9.8% [28/29 countries] | ||
| % of those who would pay much higher prices for the environment (2010) | 13.0% [28/29 countries] | ||
| % of those who agree to an increase in taxes for the environment (5 choices) (2010) | 12.3% [27/29 countries] | ||
| % of those who think that economic growth harms the environment (2010) | 30.6% [14/29 countries] | ||
| % of those who think that people prioritize the environment too much over the economy (2010) | 43.5% [7/29 countries] | ||
| % of those who think that economic growth is nexessary to protect the environment (2010) | 64.4% [5/29 countries] | ||
| % of those who think that economic progress will slow down unless we look after the environment (2010) | 48.9% [11/29 countries] | ||
| % of those who would spend more money and time for the environment (2010) | 36.2% [28/29 countries] |
| Lithuania | |||
| CO2 emissions (kilo tonnes) (2019) | 11,730 [33/38 countries] | ||
| CO2 emissions per capita (metric tonnes) (2019) | 4.20 [33/38 countries] | ||
| CO2 emissions (kg per PPP $ of GDP) (2019) | 0.109 [28/38 countries] | ||
| % of those who think that their country should prioritize solar, wind or water power in order to meet its future energy needs (2010) | 59.2% [26/29 countries] | ||
| % of those who think that their country should prioritize nuclear power in order to meet its future energy needs (2010) | 13.9% [7/29 countries] | ||
| % of those who think that their country should prioritize fuels made from crops in order to meet its future energy needs (2010) | 19.5% [1/29 countries] | ||
| % of those who think that global warming is very dangerous for the environment (2010) | 59.6% [13/29 countries] | ||
| % of those who think that climate change is the most important environmental problem for their country (2010) | 5.0% [28/29 countries] |
| Lithuania | |||
| Municipal waste (kg per capita) | 496 (2020) [19/37 countries] | ||
| Municipal waste, % of recycling | 27.5% (2020) [16/35 countries] | ||
| % of those who think that domestic waste disposal is the most important environmental problem for their country (2010) | 13.6% [6/29 countries] | ||
| % of those who think that domestic waste disposal is the most important environmental problem for them and their family (2010) | 10.2% [17/29 countries] |
| Lithuania | |||
| % of those who think that policies depend more on what is happening in the world economy (2016) | 20.6% [24/25 countries] |
| Lithuania | |||
| Exports of goods and services (billion US$) (2020) | 41.6 [33/38 countries] | ||
| Exports of goods and services, % of GDP (2020) | 73.5% [8/38 countries] | ||
| Imports of goods and services (billion US$) (2020) | 36.3 [34/38 countries] | ||
| Imports of goods and services, % of GDP (2020) | 64.2% [9/38 countries] | ||
| External balance on goods and services (million US$) (2020) | 5 [20/38 countries] | ||
| Current account balance (billion US$) (2021) | 4.146 [17/38 countries] | ||
| Export from Japan (million US$) (2018) | 81 [36/37 countries] | ||
| Import to Japan (million US$) (2018) | 441 [28/37 countries] | ||
| % of those who think the import of foreign products should be limited (2013) | 46.0% [16/26 countries] | ||
| % of those who agree that free trade leads to better products becoming available in the country (2013) | 58.8% [14/26 countries] |
| Lithuania | |||
| Outward direct investment - stock (% of GDP) (2020) | 18.9% [29/38 countries] | ||
| Inward direct investment - stock (% of GDP) (2020) | 52.6% [20/38 countries] |
| Lithuania | |||
| Military expenditure (billion US$) (2020) | 1.2 [31/38 countries] | ||
| Military expenditure (% of GDP) (2020) | 2.1% [11/37 countries] | ||
| Armed forces personnel (ten thousands) (2019) | 3.7 [21/38 countries] | ||
| % of those who would like to see more government spending in the military and defence (2016) | 28.0% [16/24 countries] | ||
| % of those who think that the military/army has the most influence on the actions of the government (2016) | 0.7% [10/24 countries] | ||
| % of those who are proud of their country in its armed forces (2013) | 49.9% [20/25 countries] |
| Lithuania | |||
| Intentional homicide (cases per 100,000 population) (2020) | 3.71 [6/34 countries] | ||
| Serious assault (cases per 100,000 population) (2020) | 5.5 [33/33 countries] | ||
| Kidnapping (cases per 100,000 population) (2020) | 0.04 [24/26 countries] | ||
| Sexual violence (cases per 100,000 population) (2020) | 4.6 [31/33 countries] | ||
| Theft (cases per 100,000 population) (2020) | 347.0 [28/33 countries] | ||
| Burglary (cases per 100,000 population) (2020) | 45.0 [29/30 countries] | ||
| Fraud (cases per 100,000 population) (2020) | 98.7 [23/31 countries] | ||
| % of those who think that organised crime has the most influence on the actions of the government (2016) | 3.3% [3/25 countries] | ||
| % of those who think that they have to be corrupt to get all the way to the top in this country today (2009) | 50.9% [3/30 countries] | ||
| Road traffic mortality rate (per 100,000 population) (2019) | 8.1 [11/38 countries] | ||
| Mortality rate due to homicide (per 100,000 population) (2019) | 4.8 [6/38 countries] |
| Lithuania | |||
| Prevalence of obesity among children and adolescents (5?19 years) (%) (2016) | 6.8% [34/38 countries] |
| Lithuania | |||
| % of those who do moderate physical activity every day (2011) | 15.0% [14/25 countries] |
| Lithuania | |||
| Prevalence of anaemia in women of reproductive age (15?49 years) (%) (2019) | 19.9% [7/36 countries] | ||
| Age-standardized prevalence of hypertension among adults aged 30-79 years (%) (2019) | 48.0% [3/38 countries] |
| Lithuania | |||
| Time spent for sleeping (men and women, minutes per day per person) | 503.1 (2003) [18/30 countries] | ||
| Time spent for sleeping (men, minutes per day per person) | 500.7 (2003) [20/30 countries] | ||
| Time spent for sleeping (women, minutes per day per person) | 504.0 (2003) [20/30 countries] |
| Lithuania | |||
| Time spent for eating and drinking (men and women, minutes per day per person) | 88.2 (2003) [18/30 countries] | ||
| Time spent for eating and drinking (men, minutes per day per person) | 91.1 (2003) [15/30 countries] | ||
| Time spent for eating and drinking (women, minutes per day per person) | 85.1 (2003) [17/30 countries] |
| Lithuania | |||
| Current tobacco smokers, men and women (% of population) | 27.8% (2020) [3/32 countries] | ||
| Current tobacco smokers, men (% of population) (2001-2020) | 39.5% [2/32 countries] | ||
| Current tobacco smokers, women (% of population) (2001-2020) | 17.3% [17/32 countries] | ||
| % of those who smoke more than 10 cigarettes per day (2011) | 10.3% [17/25 countries] | ||
| % of those who think that non-smokers should be medically prioritized over heavy smokers (2011) | 28.4% [21/25 countries] |
| Lithuania | |||
| % of those who use cannabis | 2.70% (2016) [32/38 countries] | ||
| % of those who use cocaine | 0.10% (2016) [34/38 countries] | ||
| % of those who use amphetamines | 0.30% (2016) [25/36 countries] | ||
| % of those who use ecstasy | 0.40% (2016) [26/38 countries] |
| Lithuania | |||
| Tuberculosis incidence (per 100,000 population) (2020) | 29 [3/38 countries] | ||
| Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years (%) (2020) | 0.05 [29/38 countries] | ||
| Reported number of people requiring interventions against NTDs (2020) | 0 [31/38 countries] | ||
| Probability of dying from any of CVD, cancer, diabetes, CRD between age 30-70 (%) (2019) | 19.3 [3/38 countries] |
| Lithuania | |||
| Agriculture, forestry and fishing, value added per worker (constant 2015 US$) (2019) | 15,045 [31/38 countries] | ||
| Agriculture, forestry, and fishing, value added (million US$) | 2,165 (2021) [30/36 countries] | ||
| Agriculture, forestry, and fishing, value added (% of GDP) | 3.3% (2021) [8/36 countries] | ||
| Employment in agriculture (% of total employment) (2019) | 6.4% [9/38 countries] | ||
| Employment in agriculture (% of total employment) (2019) | 6.4% [9/38 countries] |
| Lithuania | |||
| Stimulants, food supply quantity (kg/capita/year) (2019) | 5.12 [18/38 countries] | ||
| Coffee and products, food supply quantity (kg/capita/year) (2019) | 4.86 [18/38 countries] | ||
| Tea (including mate), food supply quantity (kg/capita/year) (2019) | 0.26 [24/38 countries] | ||
| Alcoholic Beverages, food supply quantity (kg/capita/year) (2019) | 102.41 [11/38 countries] | ||
| Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol) (2019) | 12.8 [3/38 countries] | ||
| % of those who often drink 4 or more alcoholic drinks on the same day (2011) | 5.4% [12/25 countries] | ||
| Wine, food supply quantity (kg/capita/year) (2019) | 13.75 [21/38 countries] | ||
| Beer, food supply quantity (kg/capita/year) (2019) | 80.03 [10/38 countries] | ||
| Fermented beverages, food supply quantity (kg/capita/year) (2019) | 0.01 [36/38 countries] |
| Lithuania | |||
| % of those who eat fresh fruit or vegetables every day (2011) | 35.9% [22/25 countries] |
| Lithuania | |||
| Time spent for leisure (men and women, minutes per day per person) | 246.6 (2003) [28/30 countries] | ||
| Time spent for leisure (men, minutes per day per person) | 282.2 (2003) [28/30 countries] | ||
| Time spent for leisure (women, minutes per day per person) | 215.3 (2003) [28/30 countries] | ||
| % of those who take part in activities of groups or associations for leisure, sports or culture once a week or more (2017) | 5.4% [21/21 countries] | ||
| % of those who never take part in activities of groups or associations for leisure, sports or culture (2017) | 68.8% [1/21 countries] |
| Lithuania | |||
| Game and toys, output (100 million yen) (2005) | 3.0 [26/28 countries] | ||
| Game and toys, output as % of total manufacturing (2005) | 0.020% [25/28 countries] | ||
| % of Grade 4 students who play computer games for less than 1 hour per day (2007) | 53.3% [13/19 countries] | ||
| % of Grade 4 students who play computer games for more than 2 hours per day (2007) | 18.9% [7/19 countries] |
| Lithuania | |||
| Travel & Tourism Competitiveness (ranking by World Economic Forum) (2019) | 59 [37/38 countries] | ||
| Number of foreign visitors to Japan (2019) | 5,396 [31/37 countries] | ||
| Number of foreign visitors to Japan (per 10,000 population) (2019) | 19.3 [25/37 countries] | ||
| International tourism, number of arrivals (ten thousands) (2019) | 615.0 [26/37 countries] | ||
| International tourism, number of departures (ten thousands) (2019) | 488.1 [29/38 countries] |
| Lithuania | |||
| Number of world heritage properties (2011) | 4 [29/38 countries] | ||
| % of those who would like to see more government spending in culture and the arts (2016) | 33.3% [7/25 countries] |
| Lithuania | |||
| Book production, annual total | 4,097 (1999) [23/33 countries] | ||
| Book production, % of arts and recreation | 5.2% (1999) [23/33 countries] | ||
| Book production, % of literature | 28.1% (1999) [12/33 countries] | ||
| Book production, % of religion and theology | 3.7% (1999) [19/33 countries] | ||
| Book production, % of sciences | 39.6% (1999) [19/33 countries] | ||
| % of Grade 4 students who read a book for enjoyment for less than 1 hours per day (2007) | 60.8% [17/19 countries] | ||
| % of Grade 4 students who read a book for enjoyment for more than 2 hours per day (2007) | 13.7% [8/19 countries] | ||
| % of Grade 8 students who read a book for enjoyment for less than 1 hours per day (2007) | 77.7% [8/17 countries] | ||
| % of Grade 8 students who read a book for enjoyment for more than 2 hours per day (2007) | 6.6% [11/17 countries] | ||
| % of those who are proud of their country in its achievements in the arts and literature (2013) | 79.6% [15/26 countries] |
| Lithuania | |||
| Time spent for TV or radio at home (men and women, minutes per day per person) | 136.8 (2003) [4/30 countries] | ||
| Time spent for TV or radio at home (men, minutes per day per person) | 159.7 (2003) [1/30 countries] |
| Lithuania | |||
| Musical instruments, output (100 million yen) (2005) | 0.8 [25/29 countries] | ||
| Musical instruments, output as % of total manufacturing (2005) | 0.005% [24/29 countries] |
| Lithuania | |||
| Number of cinemas (2005) | 51 [26/29 countries] | ||
| Film production, 2005-2009 average (2005-2009) | 1.8 [37/38 countries] | ||
| Average ticket price (US$) | 5.43 (2009) [26/33 countries] |
| Lithuania | |||
| Time spent for sports (men and women, minutes per day per person) | 16.0 (2003) [24/30 countries] | ||
| Time spent for sports (men, minutes per day per person) | 19.6 (2003) [24/30 countries] | ||
| Time spent for sports (women, minutes per day per person) | 12.7 (2003) [24/30 countries] | ||
| % of those who belong to a sports, leisure or cultural group (2014) | 14.2% [23/26 countries] | ||
| % of Grade 4 students who play sports for less than 1 hour per day (2007) | 59.2% [1/19 countries] | ||
| % of Grade 4 students who play sports for more than 2 hours per day (2007) | 16.2% [19/19 countries] | ||
| % of Grade 8 students who play sports for less than 1 hour per day (2007) | 60.0% [2/17 countries] | ||
| % of Grade 8 students who play sports for more than 2 hours per day (2007) | 14.6% [16/17 countries] | ||
| % of those who are proud of their country in its achievements in sports (2013) | 93.0% [2/26 countries] |
| Lithuania | |||
| % of those who feel close to their town or city (2013) | 91.5% [4/26 countries] | ||
| % of those who feel close to their county (2013) | 65.0% [23/26 countries] | ||
| % of those who feel close to their country (2013) | 84.8% [19/26 countries] |
| Lithuania | |||
| % of those who think that people can be trusted or not (4 choices) (2019) | 39.5% [16/20 countries] | ||
| % of those who think that people can be trusted or not (4 choices) (2017) | 44.9% [15/21 countries] | ||
| % of those who think that people can be trusted or not (4 choices) (2014) | 24.2% [23/26 countries] | ||
| % of those who think that people try to be fair (4 choices) (2017) | 50.1% [21/21 countries] | ||
| % of those who think that people try to be fair (4 choices) (2014) | 42.6% [23/26 countries] | ||
| % of people who have relatives or friends they can count on for help in times of need (2019) | 92.9% [13/35 countries] | ||
| % of those who think that they should feel obligated to pay back the person who does a favour for them (2017) | 51.0% [8/12 countries] | ||
| %of those who feel that they lack companionship (2017) | 27.6% [8/21 countries] | ||
| %of those who feel that they are isolated from others (2017) | 13.7% [17/21 countries] | ||
| %of those who feel that they are left out (2017) | 14.7% [13/21 countries] |
| Lithuania | |||
| % of those who consider themselves to be a spiritual person interested in the sacred or the supernatural (2018) | 31.4% [17/24 countries] | ||
| % of those who believe in life after death (4 choices) (2018) | 49.9% [12/24 countries] | ||
| % of those who believe in heaven (4 choices) (2018) | 41.6% [10/24 countries] | ||
| % of those who believe in hell (4 choices) (2018) | 39.7% [7/24 countries] |