![]() | |||
% of those who have confidence in parliament (2018) | 67.1% [8/24 countries] | ||
% of those who have confidence in parliament (2008) | 71.1% [4/30 countries] | ||
% of those who think that MPs try to keep the promises they have made during the election (2016) | 19.0% [13/25 countries] | ||
% of those who think that MPs try to keep the promises they have made during the election (2006) | 18.3% [11/23 countries] | ||
% of those who think that the parliament considers your action if you take action against an unjust or harmful law (2014) | 12.2% [20/26 countries] | ||
% of those who think that the parliament considers your action if you take action against an unjust or harmful law (2004) | 12.8% [19/27 countries] |
![]() | |||
Share prices (10 years ago as 100) (2021) | 185 [26/36 countries] | ||
% of currency and deposits in household financial assets | 31.3% (2020) [19/36 countries] |
![]() | |||
Manufacturing, value added (% of GDP) | 14.7% (2021) [16/38 countries] | ||
% of employment of small and medium sized companies (1-249 employees) in manufacturing | 49.5% (2019) [22/34 countries] |
![]() | |||
Tourism, employment, % of total employment | 5.8% (2019) [20/31 countries] | ||
% of employment of small and medium sized companies (1-249 employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 60.7% (2019) [26/32 countries] | ||
% of employment of large companies (250 and more employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 39.3% (2019) [7/32 countries] |
![]() | |||
New business density (new registrations per 1,000 people ages 15-64) (2020) | 5.88 [11/31 countries] | ||
Cost of business start-up procedures (% of GNI per capita) (2019) | 0.7% [28/38 countries] |
![]() | |||
Share of self-employed who are own-account workers, men, % of total employed | 9.8% (2020) [16/31 countries] | ||
Share of self-employed who are own-account workers, women, % of total employed | 6.4% (2020) [17/31 countries] | ||
% of those who think that employees have more job security than the self-employed (2005) | 55.6% [12/24 countries] | ||
% of those who think that being an employee interferes more with family life than self-employment (2005) | 8.6% [24/24 countries] | ||
% of those who prefer being an employee to being self-employed (2005) | 75.3% [1/24 countries] |
![]() | |||
Part-time employment - male | 13.3% (2021) [5/37 countries] | ||
Part-time employment - female | 21.1% (2021) [21/37 countries] | ||
Temporary employment - male as % of dependent employment | 14.0% (2021) [10/36 countries] | ||
Temporary employment - female as % of dependent employment | 19.3% (2021) [7/36 countries] | ||
Temporary employment - 15-24 years as % of dependent employment | 40.9% (2021) [15/36 countries] | ||
% of those willing to accept temporary employment to avoid unemployment (2015) | 62.3% [17/27 countries] | ||
% of those willing to accept temporary employment to avoid unemployment (2005) | 52.8% [18/24 countries] |
![]() | |||
% of those who do any work for additional income in addition to their main job (2015) | 16.5% [15/27 countries] | ||
% of those who do any work for additional income in addition to their main job (2005) | 15.9% [11/24 countries] |
![]() | |||
Public expenditure for active labor policy, % of GDP | 0.92% (2019) [3/32 countries] |
![]() | |||
% of those who always/ often have to do hard physical work (2015) | 26.9% [12/27 countries] | ||
% of those who always/ often have to do hard physical work (2005) | 24.0% [12/24 countries] | ||
% of those who always/ often work in dangerous conditions (2005) | 10.2% [19/24 countries] |
![]() | |||
% of those who take part in voluntary work once a month or more (2011-2017) | 20.5% [9/28 countries] | ||
% of those who never take part in voluntary work (2011-2017) | 56.0% [23/28 countries] | ||
% of those who take part in activities of charitable or religious organisations that do voluntary work once a month or more (2017) | 10.0% [12/21 countries] | ||
% of those who never take part in activities of charitable or religious organisations that do voluntary work (2017) | 62.8% [16/21 countries] | ||
Time spent for volunteering (men and women, minutes per day per person) | 3.6 (2009/10) [9/28 countries] | ||
Time spent for volunteering (men, minutes per day per person) | 4.1 (2009/10) [7/28 countries] | ||
Time spent for volunteering (women, minutes per day per person) | 3.0 (2009/10) [11/28 countries] |
![]() | |||
Pre-school enrolment rates, children aged 0 to 2 year old | 31.2% (2017) [22/37 countries] | ||
Pre-school enrolment rates, children aged 3 to 5 year old | 79.5% (2017) [29/37 countries] |
![]() | |||
Average class size in primary education (public and private) | 19.6 (2018) [18/31 countries] | ||
Average class size in primary education (public) (2018) | 19.6 [21/34 countries] | ||
Average class size in primary education (private) | 18.5 (2018) [18/31 countries] | ||
Ratio of students to teaching staff in primary schools (public and private) (2018) | 13.6 [20/38 countries] | ||
Ratio of students to teaching staff in primary schools (public) (2018) | 13.6 [20/38 countries] | ||
Ratio of students to teaching staff in primary schools (private) (2018) | 14.7 [16/36 countries] | ||
Annual number of hours of compulsory instruction in primary education (2019) | 651 [32/35 countries] |
![]() | |||
% of Grade 4 students who have their own room (2019) | 81.8% [6/28 countries] | ||
% of Grade 4 students who have internet connection at home (2019) | 98.1% [4/28 countries] | ||
% of Grade 4 students who have their own mobile phone (2019) | 98.8% [1/28 countries] |
![]() | |||
Average class size in lower secondary education (public and private) | 19.1 (2018) [29/32 countries] | ||
Average class size in lower secondary education (public) | 19.1 (2018) [29/33 countries] | ||
Average class size in lower secondary education (private) | 19.1 (2018) [23/32 countries] | ||
Ratio of students to teaching staff in lower secondary education (public and private) (2018) | 8.9 [28/34 countries] | ||
Ratio of students to teaching staff in lower secondary education (public) (2018) | 8.9 [28/34 countries] | ||
Ratio of students to teaching staff in lower secondary education (private) (2018) | 9.8 [21/32 countries] |
![]() | |||
% of Grade 8 students who have their own room (2019) | 93.1% [3/17 countries] | ||
% of Grade 8 students who have their own room (2011) | 91.0% [3/15 countries] | ||
% of Grade 8 students who have internet connection at home (2019) | 99.3% [2/18 countries] | ||
% of Grade 8 students who have internet connection at home (2011) | 99.5% [1/16 countries] | ||
% of Grade 8 students who have their own mobile phone (2019) | 99.7% [1/18 countries] |
![]() | |||
% of Grade 8 students who expect them to finish undergraduate or postgraduate degree (2019) | 48.9% [16/18 countries] | ||
% of Grade 8 students who expect them to finish postgraduate degree (2019) | 20.9% [13/18 countries] |
![]() | |||
Performance on the reading (15 years old, average score) (2018) | 520.08 [3/37 countries] | ||
Performance on the reading (15 years old, average score) (2015) | 526 [2/38 countries] | ||
Performance on the reading (15 years old, average score) (2000) | 546 [1/30 countries] | ||
Performance on the mathematics (15 years old, average score) (2018) | 507.30 [11/38 countries] | ||
Performance on the mathematics (15 years old, average score) (2015) | 511 [7/38 countries] | ||
Performance on the mathematics (15 years old, average score) (2000) | 536 [4/30 countries] | ||
Performance on the science (15 years old, average score) (2018) | 521.88 [3/38 countries] | ||
Performance on the science (15 years old, average score) (2015) | 531 [3/38 countries] | ||
Performance on the science (15 years old, average score) (2000) | 538 [3/30 countries] | ||
% of 15 year old students who have ever repeated a grade (2009) | 2.8% [31/37 countries] |
![]() | |||
% of 15-year-old students who have a computer they can use for school work in their home (2018) | 93.8% [12/38 countries] | ||
% of 15-year-old students who have classic literature in their home (2018) | 50.1% [22/38 countries] | ||
% of 15-year-old students who have books of poetry in their home (2018) | 44.4% [19/38 countries] | ||
% of 15-year-old students who have works of art (e.g. paintings) in their home (2018) | 71.2% [12/38 countries] | ||
% of 15-year-old students who have musical instruments (e.g. guitar, piano) in their home (2018) | 25.9% [31/38 countries] |
![]() | |||
% of 15-year olds who read emails several times a day (2018) | 7.3% [29/38 countries] | ||
% of 15-year olds who chat on line several times a day (2018) | 73.1% [21/38 countries] | ||
% of 15-year olds who read online news several times a day (2018) | 20.0% [26/38 countries] | ||
% of 15-year olds who search information online to learn about a particular topic several times a day (2018) | 16.5% [37/38 countries] | ||
% of 15-year olds who take part in online group discussions or forums several times a day (2018) | 6.5% [26/38 countries] | ||
% of 15-year olds who search for practical information online several times a day (2018) | 15.4% [32/38 countries] |
![]() | |||
% of 15-year-olds who think that their life has clear meaning or purpose (2018) | 63.9% [19/34 countries] | ||
% of 15-year-olds who have discovered a satisfactory meaning in life (2018) | 67.9% [4/34 countries] | ||
% of 15-year-olds who have a clear sense of what gives meaning to their life (2018) | 68.2% [7/34 countries] |
![]() | |||
% of 15-year-olds who always feel happy (2018) | 30.5% [32/33 countries] | ||
% of 15-year-olds who always feel scared (2018) | 2.2% [28/33 countries] | ||
% of 15-year-olds who always feel lively (2018) | 16.5% [32/33 countries] | ||
% of 15-year-olds who always feel miserable (2018) | 2.6% [30/33 countries] | ||
% of 15-year-olds who always feel proud (2018) | 8.9% [32/33 countries] | ||
% of 15-year-olds who always feel afraid (2018) | 7.1% [21/33 countries] | ||
% of 15-year-olds who always feel joyful (2018) | 30.8% [28/33 countries] | ||
% of 15-year-olds who always feel sad (2018) | 3.6% [27/33 countries] | ||
% of 15-year-olds who always feel cheerful (2018) | 32.6% [25/33 countries] |
![]() | |||
% of 15-year olds who usually manage one way or another (2018) | 89.9% [6/37 countries] | ||
% of 15-year olds who feel proud that they have accomplished things (2018) | 85.1% [14/37 countries] | ||
% of 15-year olds who feel that they can handle many things at a time (2018) | 65.5% [26/37 countries] | ||
% of 15-year olds who can usually find their way out in a difficult situation (2018) | 80.5% [17/37 countries] |
![]() | |||
% of 15-year olds who feel like an outsider (or left out of things) (2018) | 14.6% [26/37 countries] | ||
% of 15-year olds who make friends easily at school (2018) | 71.3% [18/37 countries] | ||
% of 15-year olds who feel like they belong at school. (2018) | 72.1% [10/37 countries] | ||
% of 15-year olds who feel awkward and out of place in their school. (2018) | 20.8% [12/37 countries] | ||
% of 15-year olds who think that other students seem to like them (2018) | 74.4% [24/37 countries] | ||
% of 15-year olds who feel lonely at school (2018) | 13.5% [21/37 countries] |
![]() | |||
Average hours per week to spend learning foreign language out of school (2015) | 2.50 [38/38 countries] | ||
Dispersion (S.E.) of hours per week to spend learning foreign language out of school (2015) | 0.047 [38/38 countries] |
![]() | |||
Number of Nobel prize lauriates (by place of birth) (2020) | 5 [22/36 countries] | ||
Gross Domestic Expenditure on R&D (GERD) at current PPP million $ | 7,956 (2019) [21/37 countries] | ||
Gross Domestic Expenditure on R&D (GERD) as % of GDP | 2.79% (2019) [11/37 countries] | ||
% of GERD financed by the business and enterprise sector | 54.3% (2019) [15/36 countries] | ||
% of GERD financed by government | 27.8% (2019) [24/36 countries] | ||
Total researchers per thousand total employment | 14.97 (2019) [3/34 countries] | ||
% women among researchers | 33.7% (2019) [19/31 countries] |
![]() | |||
% of those who think that scientific advances harm mankind (5 choices) (2010) | 14.1% [20/29 countries] | ||
% of those who think that scientific advances harm mankind (5 choices) (2008) | 12.7% [22/30 countries] | ||
% of those who think that scientific advances harm mankind (5 choices) (2000) | 7.7% [22/22 countries] | ||
% of those who agree that we believe too often in science and not enough in feelings and faith (2010) | 28.7% [25/29 countries] | ||
% of those who agree that we believe too often in science and not enough in feelings and faith (2000) | 44.6% [16/22 countries] | ||
% of those who are proud of their country in its scientific and technological achievements (2013) | 87.5% [10/26 countries] | ||
% of those who are proud of their country in its scientific and technological achievements (2003) | 87.3% [9/27 countries] |
![]() | |||
E-Government Development Index (2020) | 0.9452 [4/38 countries] | ||
E-Participation Index (as a component of E-Government Development Index) (2020) | 0.9524 [12/38 countries] | ||
Online Service Index (as a component of E-Government Development Index) (2020) | 0.9706 [3/38 countries] | ||
Human Capital Component (as a component of E-Government Development Index) (2020) | 0.9549 [3/38 countries] | ||
Telecomm Infrustrcture Index (as a component of E-Government Development Index) (2020) | 0.9101 [12/38 countries] |
![]() | |||
Bird species, threatened (2018) | 11 [21/38 countries] | ||
Fish species, threatened (2018) | 6 [32/38 countries] | ||
Mammal species, threatened (2018) | 2 [31/38 countries] | ||
Plant species (higher), threatened (2018) | 2 [30/38 countries] | ||
Terrestrial protected areas (% of total land area) (2018) | 15.0% [28/38 countries] | ||
Marine protected areas (% of territorial waters) (2018) | 10.5% [20/32 countries] | ||
% of those who think that gene modification is very dangerous for the environment (2010) | 41.9% [18/29 countries] | ||
% of those who think that gene modification is very dangerous for the environment (2000) | 37.9% [16/21 countries] | ||
% of those who think that genetically modified foods are the most important environmental problem for their country (2010) | 2.9% [20/29 countries] | ||
% of those who think that genetically modified foods are the most important environmental problem for them and their family (2010) | 5.8% [21/29 countries] |
![]() | |||
Coal supply per capita (kg) (2018) | 750 [7/32 countries] | ||
Crude oil supply per capita (kg) (2018) | 2,082 [7/31 countries] | ||
Natural gas supply per capita (million J) (2018) | 18,381 [26/31 countries] | ||
Electric power supply per capita (kWh) (2018) | 16,333 [3/32 countries] | ||
Renewable energy, % of primary energy supply (2020) | 36.6% [8/37 countries] | ||
Electricity production from oil, gas and coal sources, % of total (2018) | 39.8% [22/32 countries] | ||
Electricity production from hydroelectric sources, % of total (2018) | 18.9% [12/32 countries] |
![]() | |||
Electricity production from nuclear sources, % of total (2018) | 32.4% [8/17 countries] | ||
% of those who think that radioactivity results to death (2000) | 20.1% [22/22 countries] | ||
% of those who strongly feel the danger of a nuclear accident (2000) | 16.4% [12/21 countries] | ||
% of those who think that nuclear power station is very dangerous for the environment (2010) | 47.7% [19/29 countries] | ||
% of those who think that nuclear power station is very dangerous for the environment (2000) | 47.0% [12/14 countries] | ||
% of those who think that nuclear waste is the most important environmental problem for their country (2010) | 12.2% [3/29 countries] | ||
% of those who think that nuclear waste is the most important environmental problem for them and their family (2010) | 2.6% [14/29 countries] |
![]() | |||
Municipal waste (kg per capita) | 595 (2020) [11/37 countries] | ||
Municipal waste, % of recycling | 28.1% (2020) [14/35 countries] | ||
% of those who think that domestic waste disposal is the most important environmental problem for their country (2010) | 6.9% [12/29 countries] | ||
% of those who think that domestic waste disposal is the most important environmental problem for them and their family (2010) | 13.5% [9/29 countries] | ||
% of those who always sort things for recycling (2010) | 63.8% [10/29 countries] |
![]() | |||
% of those who think that policies depend more on what is happening in the world economy (2016) | 38.6% [15/25 countries] |
![]() | |||
Exports of goods and services (billion US$) (2020) | 97.2 [26/38 countries] | ||
Exports of goods and services, % of GDP (2020) | 35.8% [21/38 countries] | ||
Imports of goods and services (billion US$) (2020) | 96.6 [25/38 countries] | ||
Imports of goods and services, % of GDP (2020) | 35.5% [21/38 countries] | ||
External balance on goods and services (million US$) (2020) | 1 [24/38 countries] | ||
Current account balance (billion US$) (2021) | 2.264 [21/38 countries] | ||
Export from Japan (million US$) (2018) | 696 [27/37 countries] | ||
Import to Japan (million US$) (2018) | 1,851 [20/37 countries] | ||
% of those who think the import of foreign products should be limited (2013) | 32.0% [22/26 countries] | ||
% of those who think the import of foreign products should be limited (2003) | 34.0% [26/27 countries] | ||
% of those who agree that free trade leads to better products becoming available in the country (2013) | 41.5% [26/26 countries] | ||
% of those who agree that free trade leads to better products becoming available in the country (2003) | 37.9% [27/27 countries] |
![]() | |||
Outward direct investment - stock (% of GDP) (2020) | 52.8% [13/38 countries] | ||
Inward direct investment - stock (% of GDP) (2020) | 32.5% [32/38 countries] |
![]() | |||
Military expenditure (billion US$) (2020) | 4.1 [25/38 countries] | ||
Military expenditure (% of GDP) (2020) | 1.5% [20/37 countries] | ||
Armed forces personnel (ten thousands) (2019) | 2.7 [22/38 countries] | ||
% of those who would like to see more government spending in the military and defence (2016) | 32.1% [11/24 countries] | ||
% of those who would like to see more government spending in the military and defence (2006) | 13.0% [16/23 countries] | ||
% of those who think that the military/army has the most influence on the actions of the government (2016) | 0.5% [16/24 countries] | ||
% of those who think that the government is successful in the security of the country (2006) | 76.3% [1/25 countries] | ||
% of those who are proud of their country in its armed forces (2013) | 68.5% [8/25 countries] | ||
% of those who are proud of their country in its armed forces (2003) | 68.0% [10/27 countries] | ||
% of those who think that their country should follow its own interests, even if this leads to conflicts with other nations (2013) | 53.0% [12/26 countries] |
![]() | |||
Intentional homicide (cases per 100,000 population) (2020) | 1.64 [11/34 countries] | ||
Serious assault (cases per 100,000 population) (2020) | 31.7 [23/33 countries] | ||
Kidnapping (cases per 100,000 population) (2020) | 0.05 [23/26 countries] | ||
Sexual violence (cases per 100,000 population) (2020) | 73.3 [12/33 countries] | ||
Theft (cases per 100,000 population) (2020) | 2,433.5 [4/33 countries] | ||
Burglary (cases per 100,000 population) (2020) | 140.6 [23/30 countries] | ||
Fraud (cases per 100,000 population) (2020) | 850.6 [4/31 countries] | ||
% of those who think that organised crime has the most influence on the actions of the government (2016) | 0.4% [18/25 countries] | ||
% of those who think that they have to be corrupt to get all the way to the top in this country today (2009) | 13.9% [26/30 countries] | ||
Road traffic mortality rate (per 100,000 population) (2019) | 3.9 [27/38 countries] | ||
Mortality rate due to homicide (per 100,000 population) (2019) | 1.2 [14/38 countries] |
![]() | |||
Height - Men (cm) (2001-2007) | 178.6 [8/26 countries] | ||
Height - Women (cm) (2001-2007) | 165.3 [8/26 countries] | ||
Prevalence of obesity among children and adolescents (5?19 years) (%) (2016) | 9.1% [20/38 countries] |
![]() | |||
% of those who do moderate physical activity every day (2011) | 10.1% [22/25 countries] |
![]() | |||
Prevalence of anaemia in women of reproductive age (15?49 years) (%) (2019) | 10.9% [29/36 countries] | ||
Age-standardized prevalence of hypertension among adults aged 30-79 years (%) (2019) | 35.9% [11/38 countries] | ||
Blood type A (% of total) (??) | 42% [5/19 countries] | ||
Blood type AB (% of total) (??) | 8% [2/19 countries] | ||
Blood type B (% of total) (??) | 17% [4/19 countries] | ||
Blood type O (% of total) (??) | 33% [18/19 countries] |
![]() | |||
Time spent for sleeping (men and women, minutes per day per person) | 508.3 (2009/10) [14/30 countries] | ||
Time spent for sleeping (men, minutes per day per person) | 504.9 (2009/10) [13/30 countries] | ||
Time spent for sleeping (women, minutes per day per person) | 511.5 (2009/10) [14/30 countries] |
![]() | |||
Time spent for eating and drinking (men and women, minutes per day per person) | 80.6 (2009/10) [21/30 countries] | ||
Time spent for eating and drinking (men, minutes per day per person) | 80.2 (2009/10) [22/30 countries] | ||
Time spent for eating and drinking (women, minutes per day per person) | 81.0 (2009/10) [21/30 countries] |
![]() | |||
Current tobacco smokers, men and women (% of population) | 23.3% (2018) [12/32 countries] | ||
Current tobacco smokers, men (% of population) (2001-2020) | 28.5% [11/32 countries] | ||
Current tobacco smokers, women (% of population) (2001-2020) | 18.0% [15/32 countries] | ||
% of those who smoke more than 10 cigarettes per day (2011) | 10.6% [14/25 countries] | ||
% of those who think that non-smokers should be medically prioritized over heavy smokers (2011) | 43.8% [7/25 countries] |
![]() | |||
% of those who use cannabis | 8.20% (2018) [13/38 countries] | ||
% of those who use cocaine | 0.90% (2018) [19/38 countries] | ||
% of those who use amphetamines | 1.70% (2018) [3/36 countries] | ||
% of those who use ecstasy | 1.40% (2018) [7/38 countries] |
![]() | |||
Tuberculosis incidence (per 100,000 population) (2020) | 4 [29/38 countries] | ||
Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years (%) (2020) | 0.81 [4/38 countries] | ||
Reported number of people requiring interventions against NTDs (2020) | 3 [18/38 countries] | ||
Probability of dying from any of CVD, cancer, diabetes, CRD between age 30-70 (%) (2019) | 9.6 [26/38 countries] | ||
% of those who think that antibiotics can kill bacteria but not viruses (2000) | 92.2% [2/22 countries] | ||
% of those who think that all man-made chemicals can cause cancer if they eat enough of them (2000) | 72.8% [8/22 countries] |
![]() | |||
Agriculture, forestry and fishing, value added per worker (constant 2015 US$) (2019) | 61,532 [9/38 countries] | ||
Agriculture, forestry, and fishing, value added (million US$) | 7,134 (2021) [19/36 countries] | ||
Agriculture, forestry, and fishing, value added (% of GDP) | 2.4% (2021) [12/36 countries] | ||
Employment in agriculture (% of total employment) (2019) | 3.8% [19/38 countries] | ||
Employment in agriculture (% of total employment) (2019) | 3.8% [19/38 countries] |
![]() | |||
Cereals - Excluding Beer, food supply quantity (kg/capita/year) (2019) | 119.16 [21/38 countries] | ||
Wheat and products, food supply quantity (kg/capita/year) (2019) | 78.92 [27/38 countries] | ||
Rice and products, food supply quantity (kg/capita/year) (2019) | 4.70 [26/38 countries] | ||
Barley and products, food supply quantity (kg/capita/year) (2019) | 5.33 [4/36 countries] | ||
Oat, food supply quantity (kg/capita/year) (2019) | 3.43 [7/38 countries] | ||
Starchy Roots, food supply quantity (kg/capita/year) (2019) | 58.71 [17/38 countries] | ||
Potatoes and products, food supply quantity (kg/capita/year) (2019) | 58.22 [16/38 countries] | ||
Sweet Potatoes, food supply quantity (kg/capita/year) (2019) | 0.49 [11/30 countries] | ||
Sugar & Sweeteners, food supply quantity (kg/capita/year) (2019) | 40.77 [29/38 countries] | ||
Sugar (Raw Equivalent), food supply quantity (kg/capita/year) (2019) | 29.12 [28/38 countries] | ||
Honey, food supply quantity (kg/capita/year) (2019) | 0.51 [26/38 countries] |
![]() | |||
Stimulants, food supply quantity (kg/capita/year) (2019) | 12.02 [2/38 countries] | ||
Coffee and products, food supply quantity (kg/capita/year) (2019) | 11.79 [2/38 countries] | ||
Tea (including mate), food supply quantity (kg/capita/year) (2019) | 0.23 [27/38 countries] | ||
Alcoholic Beverages, food supply quantity (kg/capita/year) (2019) | 89.80 [20/38 countries] | ||
Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol) (2019) | 10.7 [19/38 countries] | ||
% of those who often drink 4 or more alcoholic drinks on the same day (2011) | 2.7% [21/25 countries] | ||
Wine, food supply quantity (kg/capita/year) (2019) | 12.76 [23/38 countries] | ||
Beer, food supply quantity (kg/capita/year) (2019) | 71.86 [16/38 countries] | ||
Fermented beverages, food supply quantity (kg/capita/year) (2019) | 0.78 [18/38 countries] |
![]() | |||
% of those who eat fresh fruit or vegetables every day (2011) | 53.7% [15/25 countries] |
![]() | |||
Game and toys, output (100 million yen) (2005) | 12.3 [22/28 countries] | ||
Game and toys, output as % of total manufacturing (2005) | 0.009% [28/28 countries] | ||
% of those who play cards or board games in their free time several times a month or more (2007) | 17.3% [22/24 countries] | ||
% of those who play card games most frequently among non-sport games (2007) | 12.9% [20/24 countries] | ||
% of those who play computer games most frequently among non-sport games (2007) | 9.8% [20/24 countries] | ||
% of those who play gambling most frequently among non-sport games (2007) | 20.8% [1/24 countries] | ||
% of those who play word or number games most frequently among non-sport games (2007) | 19.3% [12/24 countries] | ||
% of those who play mah-jongg most frequently among non-sport games (2007) | 1.0% [8/24 countries] | ||
% of those who play jigsaw puzzles most frequently among non-sport games (2007) | 3.0% [12/24 countries] |
![]() | |||
Travel & Tourism Competitiveness (ranking by World Economic Forum) (2019) | 28 [24/38 countries] | ||
Number of foreign visitors to Japan (2019) | 29,817 [21/37 countries] | ||
Number of foreign visitors to Japan (per 10,000 population) (2019) | 54.0 [9/37 countries] | ||
International tourism, receipts (% of total exports) (2019) | 5.6% [15/29 countries] | ||
International tourism, number of arrivals (ten thousands) (2019) | 329.0 [35/37 countries] | ||
International tourism, expenditures (% of total imports) (2019) | 6.4% [10/29 countries] | ||
International tourism, number of departures (ten thousands) (2019) | 1,044.0 [19/38 countries] | ||
% of those who never stayed away from home in the last year (2007) | 7.6% [21/24 countries] | ||
% of those who stayed away from home for more than 10 days (2007) | 59.1% [5/24 countries] |
![]() | |||
Book production, annual total | 13,173 (1999) [13/33 countries] | ||
Book production, % of arts and recreation | 5.8% (1999) [19/33 countries] | ||
Book production, % of literature | 16.3% (1999) [27/33 countries] | ||
Book production, % of religion and theology | 2.4% (1999) [31/33 countries] | ||
Book production, % of sciences | 56.9% (1999) [4/33 countries] | ||
% of those who read books in their free time daily (2007) | 17.4% [9/24 countries] | ||
% of those who get much enjoyment from reading books (2007) | 51.9% [13/24 countries] | ||
% of those who are proud of their country in its achievements in the arts and literature (2013) | 66.9% [25/26 countries] | ||
% of those who are proud of their country in its achievements in the arts and literature (2003) | 68.2% [25/27 countries] |
![]() | |||
Time spent for TV or radio at home (men and women, minutes per day per person) | 118.1 (2009/10) [18/30 countries] | ||
Time spent for TV or radio at home (men, minutes per day per person) | 135.7 (2009/10) [12/30 countries] | ||
Time spent for TV or radio at home (women, minutes per day per person) | 100.8 (2009/10) [24/30 countries] |
![]() | |||
% of those who listen to music in their free time daily (2007) | 50.4% [16/24 countries] | ||
Musical instruments, output (100 million yen) (2005) | 11.0 [17/29 countries] | ||
Musical instruments, output as % of total manufacturing (2005) | 0.008% [19/29 countries] |
![]() | |||
Number of cinemas (2005) | 212 [17/29 countries] | ||
Film production, 2005-2009 average (2005-2009) | 22.6 [26/38 countries] | ||
Average ticket price (US$) | 12.10 (2009) [6/33 countries] | ||
% of those who go to the movies in their free time several times a month or more (2007) | 1.8% [24/24 countries] | ||
% of those who agree that increased exposure to foreign films, music, and books is damaging our national and local cultures (2003) | 17.8% [22/26 countries] |
![]() | |||
% of those who feel close to their town or city (2013) | 81.8% [11/26 countries] | ||
% of those who feel close to their town or city (2003) | 77.0% [18/27 countries] | ||
% of those who feel close to their county (2013) | 65.2% [22/26 countries] | ||
% of those who feel close to their county (2003) | 55.0% [26/27 countries] | ||
% of those who feel close to their country (2013) | 92.7% [4/26 countries] | ||
% of those who feel close to their country (2003) | 92.0% [10/27 countries] | ||
% of those who feel close to [Continent] (2013) | 48.8% [19/26 countries] |
![]() | |||
% of those who consider themselves to be a spiritual person interested in the sacred or the supernatural (2018) | 41.2% [8/24 countries] | ||
% of those who consider themselves to be a spiritual person interested in the sacred or the supernatural (2008) | 35.8% [20/30 countries] | ||
% of those who believe in life after death (4 choices) (2018) | 47.2% [13/24 countries] | ||
% of those who believe in life after death (4 choices) (2008) | 48.9% [18/30 countries] | ||
% of those who believe in heaven (4 choices) (2018) | 36.1% [18/24 countries] | ||
% of those who believe in heaven (4 choices) (2008) | 45.0% [19/30 countries] | ||
% of those who believe in hell (4 choices) (2018) | 21.5% [18/24 countries] | ||
% of those who believe in hell (4 choices) (2008) | 26.2% [22/30 countries] | ||
% of those who believe in reincarnation (2008) | 20.5% [25/30 countries] | ||
% of those who believe in nirvana (2008) | 11.2% [23/30 countries] | ||
% of those who believe in the supernatural powers of deceased ancestors (2018) | 20.9% [20/24 countries] |