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% of those who have confidence in parliament (2018) | 73.7% [4/24 countries] | ||
% of those who have confidence in parliament (2008) | 63.9% [6/30 countries] | ||
% of those who have confidence in parliament (1998) | 55.1% [14/26 countries] | ||
% of those who think that MPs try to keep the promises they have made during the election (2016) | 26.4% [8/25 countries] | ||
% of those who think that the parliament considers your action if you take action against an unjust or harmful law (2014) | 24.5% [3/26 countries] |
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Crude marriage rate (marriages per 1,000 population) | 3.6 (2020) [22/37 countries] | ||
Crude divorce rate (divorces per 1,000 population) | 2.5 (2020) [5/37 countries] | ||
Relative divorce rate (ratio of divorces to marriages in the latest year) (2008-2020) | 0.69 [6/37 countries] | ||
% of ever married at 50-54, men | 67.5% (2018) [36/36 countries] | ||
% of ever married at 50-54, women | 73.2% (2018) [36/36 countries] | ||
% of those who think that people who want children ought to get married (2012) | 16.0% [30/30 countries] | ||
% of those who think that adultery is always wrong (2018) | 55.9% [12/23 countries] | ||
% of those who think that adultery is always wrong (2008) | 61.2% [14/30 countries] | ||
% of those who think that sex before marriage is always wrong (2008) | 2.6% [30/30 countries] | ||
% of those who think that homosexuality is always wrong (2018) | 11.5% [21/24 countries] | ||
% of those who think that homosexuality is always wrong (2008) | 28.5% [22/30 countries] |
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Share prices (10 years ago as 100) (2021) | 495 [9/36 countries] | ||
% of currency and deposits in household financial assets | 12.1% (2021) [35/36 countries] |
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Manufacturing, value added (% of GDP) | 12.7% (2021) [18/38 countries] | ||
% of employment of small and medium sized companies (1-249 employees) in manufacturing | 38.1% (2019) [31/34 countries] | ||
% of employment of large companies (250 and more employees) in manufacturing | 61.9% (2019) [4/34 countries] |
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Tourism, % of GDP | 6.1% (2019) [5/13 countries] | ||
Tourism, employment, % of total employment | 2.5% (2019) [31/31 countries] | ||
% of employment of small and medium sized companies (1-249 employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 55.9% (2019) [29/32 countries] | ||
% of employment of large companies (250 and more employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 44.1% (2019) [4/32 countries] |
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New business density (new registrations per 1,000 people ages 15-64) (2020) | 8.98 [8/31 countries] | ||
Cost of business start-up procedures (% of GNI per capita) (2019) | 0.5% [31/38 countries] |
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Share of self-employed who are own-account workers, men, % of total employed | 6.9% (2020) [24/31 countries] | ||
Share of self-employed who are own-account workers, women, % of total employed | 3.5% (2020) [28/31 countries] | ||
% of those who think that employees have more job security than the self-employed (2005) | 66.5% [4/24 countries] | ||
% of those who think that being an employee interferes more with family life than self-employment (2005) | 10.8% [21/24 countries] | ||
% of those who prefer being an employee to being self-employed (2005) | 70.4% [5/24 countries] | ||
% of those who prefer being an employee to being self-employed (1997) | 61.5% [5/20 countries] |
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Part-time employment - male | 9.5% (2021) [18/37 countries] | ||
Part-time employment - female | 15.6% (2021) [26/37 countries] | ||
Temporary employment - male as % of dependent employment | 13.3% (2021) [11/36 countries] | ||
Temporary employment - female as % of dependent employment | 17.2% (2021) [9/36 countries] | ||
Temporary employment - 15-24 years as % of dependent employment | 52.9% (2021) [8/36 countries] | ||
% of those willing to accept temporary employment to avoid unemployment (2015) | 65.4% [14/27 countries] | ||
% of those willing to accept temporary employment to avoid unemployment (2005) | 64.7% [11/24 countries] |
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% of those who do any work for additional income in addition to their main job (2015) | 15.4% [16/27 countries] | ||
% of those who do any work for additional income in addition to their main job (2005) | 20.5% [7/24 countries] |
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Public expenditure for active labor policy, % of GDP | 1.02% (2019) [2/32 countries] |
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% of those who always/ often have to do hard physical work (2015) | 29.6% [6/27 countries] | ||
% of those who always/ often have to do hard physical work (2005) | 26.8% [6/24 countries] | ||
% of those who always/ often have to do hard physical work (1997) | 25.9% [6/20 countries] | ||
% of those who always/ often work in dangerous conditions (2005) | 11.5% [15/24 countries] | ||
% of those who always/ often work in dangerous conditions (1997) | 9.7% [17/20 countries] |
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% of those who take part in voluntary work once a month or more (2011-2017) | 18.6% [12/28 countries] | ||
% of those who never take part in voluntary work (2011-2017) | 63.7% [20/28 countries] | ||
% of those who take part in activities of charitable or religious organisations that do voluntary work once a month or more (2017) | 7.6% [16/21 countries] |
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Pre-school enrolment rates, children aged 0 to 2 year old | 46.6% (2017) [11/37 countries] | ||
Pre-school enrolment rates, children aged 3 to 5 year old | 94.1% (2017) [14/37 countries] |
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Average class size in primary education (public and private) | 19.9 (2018) [17/31 countries] | ||
Average class size in primary education (public) (2018) | 20.2 [20/34 countries] | ||
Average class size in primary education (private) | 18.1 (2018) [20/31 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) | 14.1 [18/36 countries] | ||
Annual number of hours of compulsory instruction in primary education (2019) | 733 [21/35 countries] |
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% of Grade 4 students who have their own room (2019) | 84.9% [4/28 countries] | ||
% of Grade 4 students who have internet connection at home (2019) | 98.2% [3/28 countries] | ||
% of Grade 4 students who have internet connection at home (2007) | 94.8% [1/19 countries] | ||
% of Grade 4 students who have their own mobile phone (2019) | 96.0% [5/28 countries] |
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Average class size in lower secondary education (public and private) | 21.8 (2018) [17/32 countries] | ||
Average class size in lower secondary education (public) | 21.7 (2018) [17/33 countries] | ||
Average class size in lower secondary education (private) | 22.3 (2018) [13/32 countries] | ||
Ratio of students to teaching staff in lower secondary education (public and private) (2018) | 11.1 [19/34 countries] | ||
Ratio of students to teaching staff in lower secondary education (public) (2018) | 10.9 [21/34 countries] | ||
Ratio of students to teaching staff in lower secondary education (private) (2018) | 11.6 [15/32 countries] |
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% of Grade 8 students who have their own room (2019) | 93.4% [2/17 countries] | ||
% of Grade 8 students who have their own room (2011) | 94.9% [2/15 countries] | ||
% of Grade 8 students who have internet connection at home (2019) | 99.0% [5/18 countries] | ||
% of Grade 8 students who have internet connection at home (2011) | 99.2% [3/16 countries] | ||
% of Grade 8 students who have their own mobile phone (2019) | 98.9% [4/18 countries] |
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% of Grade 8 students who expect them to finish undergraduate or postgraduate degree (2019) | 51.6% [13/18 countries] | ||
% of Grade 8 students who expect them to finish postgraduate degree (2019) | 23.5% [11/18 countries] |
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Performance on the reading (15 years old, average score) (2018) | 505.79 [7/37 countries] | ||
Performance on the reading (15 years old, average score) (2015) | 500 [14/38 countries] | ||
Performance on the reading (15 years old, average score) (2000) | 516 [9/30 countries] | ||
Performance on the mathematics (15 years old, average score) (2018) | 502.39 [12/38 countries] | ||
Performance on the mathematics (15 years old, average score) (2015) | 494 [17/38 countries] | ||
Performance on the mathematics (15 years old, average score) (2000) | 510 [14/30 countries] | ||
Performance on the science (15 years old, average score) (2018) | 499.44 [14/38 countries] | ||
Performance on the science (15 years old, average score) (2015) | 493 [22/38 countries] | ||
Performance on the science (15 years old, average score) (2000) | 512 [10/30 countries] | ||
% of 15 year old students who have ever repeated a grade (2009) | 4.6% [26/37 countries] |
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% of 15-year-old students who have a computer they can use for school work in their home (2018) | 94.4% [10/38 countries] | ||
% of 15-year-old students who have classic literature in their home (2018) | 50.9% [19/38 countries] | ||
% of 15-year-old students who have books of poetry in their home (2018) | 28.4% [33/38 countries] | ||
% of 15-year-old students who have works of art (e.g. paintings) in their home (2018) | 74.3% [6/38 countries] | ||
% of 15-year-old students who have musical instruments (e.g. guitar, piano) in their home (2018) | 26.0% [30/38 countries] |
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% of 15-year olds who read emails several times a day (2018) | 8.6% [21/38 countries] | ||
% of 15-year olds who chat on line several times a day (2018) | 64.8% [31/38 countries] | ||
% of 15-year olds who read online news several times a day (2018) | 13.1% [37/38 countries] | ||
% of 15-year olds who search information online to learn about a particular topic several times a day (2018) | 26.7% [17/38 countries] | ||
% of 15-year olds who take part in online group discussions or forums several times a day (2018) | 10.8% [14/38 countries] | ||
% of 15-year olds who search for practical information online several times a day (2018) | 17.1% [28/38 countries] |
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% of 15-year-olds who think that their life has clear meaning or purpose (2018) | 57.0% [28/34 countries] | ||
% of 15-year-olds who have discovered a satisfactory meaning in life (2018) | 53.6% [25/34 countries] | ||
% of 15-year-olds who have a clear sense of what gives meaning to their life (2018) | 59.2% [25/34 countries] |
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% of 15-year-olds who always feel happy (2018) | 32.0% [28/33 countries] | ||
% of 15-year-olds who always feel scared (2018) | 3.1% [18/33 countries] | ||
% of 15-year-olds who always feel lively (2018) | 24.0% [28/33 countries] | ||
% of 15-year-olds who always feel miserable (2018) | 4.9% [22/33 countries] | ||
% of 15-year-olds who always feel proud (2018) | 16.8% [19/33 countries] | ||
% of 15-year-olds who always feel afraid (2018) | 9.4% [17/33 countries] | ||
% of 15-year-olds who always feel joyful (2018) | 37.2% [22/33 countries] | ||
% of 15-year-olds who always feel sad (2018) | 5.2% [21/33 countries] | ||
% of 15-year-olds who always feel cheerful (2018) | 38.1% [20/33 countries] |
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% of 15-year olds who usually manage one way or another (2018) | 88.2% [9/37 countries] | ||
% of 15-year olds who feel proud that they have accomplished things (2018) | 69.8% [34/37 countries] | ||
% of 15-year olds who feel that they can handle many things at a time (2018) | 70.3% [13/37 countries] | ||
% of 15-year olds who can usually find their way out in a difficult situation (2018) | 78.3% [26/37 countries] |
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% of 15-year olds who feel like an outsider (or left out of things) (2018) | 18.6% [20/37 countries] | ||
% of 15-year olds who make friends easily at school (2018) | 72.5% [15/37 countries] | ||
% of 15-year olds who feel like they belong at school. (2018) | 63.0% [29/37 countries] | ||
% of 15-year olds who feel awkward and out of place in their school. (2018) | 15.8% [29/37 countries] | ||
% of 15-year olds who think that other students seem to like them (2018) | 74.2% [25/37 countries] | ||
% of 15-year olds who feel lonely at school (2018) | 15.2% [16/37 countries] |
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Average hours per week to spend learning foreign language out of school (2015) | 3.11 [32/38 countries] | ||
Dispersion (S.E.) of hours per week to spend learning foreign language out of school (2015) | 0.092 [16/38 countries] |
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Number of Nobel prize lauriates (by place of birth) (2020) | 32 [5/36 countries] | ||
Gross Domestic Expenditure on R&D (GERD) at current PPP million $ | 19,269 (2019) [13/37 countries] | ||
Gross Domestic Expenditure on R&D (GERD) as % of GDP | 3.40% (2019) [3/37 countries] | ||
% of GERD financed by the business and enterprise sector | 60.8% (2017) [8/36 countries] | ||
% of GERD financed by government | 25.0% (2017) [29/36 countries] | ||
Total researchers per thousand total employment | 15.17 (2019) [2/34 countries] | ||
% women among researchers | 32.6% (2017) [21/31 countries] |
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E-Government Development Index (2020) | 0.9365 [6/38 countries] | ||
E-Participation Index (as a component of E-Government Development Index) (2020) | 0.8214 [23/38 countries] | ||
Online Service Index (as a component of E-Government Development Index) (2020) | 0.9000 [12/38 countries] | ||
Human Capital Component (as a component of E-Government Development Index) (2020) | 0.9471 [8/38 countries] | ||
Telecomm Infrustrcture Index (as a component of E-Government Development Index) (2020) | 0.9625 [4/38 countries] |
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Bird species, threatened (2018) | 11 [21/38 countries] | ||
Fish species, threatened (2018) | 15 [25/38 countries] | ||
Mammal species, threatened (2018) | 1 [35/38 countries] | ||
Plant species (higher), threatened (2018) | 5 [27/38 countries] | ||
Terrestrial protected areas (% of total land area) (2018) | 14.9% [29/38 countries] | ||
Marine protected areas (% of territorial waters) (2018) | 15.2% [19/32 countries] | ||
% of those who think that gene modification is very dangerous for the environment (2010) | 40.0% [19/29 countries] | ||
% of those who think that gene modification is very dangerous for the environment (2000) | 47.8% [9/21 countries] | ||
% of those who think that genetically modified foods are the most important environmental problem for their country (2010) | 7.4% [5/29 countries] | ||
% of those who think that genetically modified foods are the most important environmental problem for them and their family (2010) | 13.3% [5/29 countries] |
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Coal supply per capita (kg) (2018) | 280 [19/32 countries] | ||
Crude oil supply per capita (kg) (2018) | 2,017 [8/31 countries] | ||
Natural gas supply per capita (million J) (2018) | 4,768 [31/31 countries] | ||
Electric power supply per capita (kWh) (2018) | 14,659 [4/32 countries] | ||
Renewable energy, % of primary energy supply (2020) | 44.9% [3/37 countries] | ||
Electricity production from oil, gas and coal sources, % of total (2018) | 9.5% [29/32 countries] | ||
Electricity production from hydroelectric sources, % of total (2018) | 38.1% [8/32 countries] |
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Electricity production from nuclear sources, % of total (2018) | 42.0% [4/17 countries] | ||
% of those who think that radioactivity results to death (2000) | 36.1% [16/22 countries] | ||
% of those who strongly feel the danger of a nuclear accident (2000) | 10.0% [19/21 countries] | ||
% of those who think that nuclear power station is very dangerous for the environment (2010) | 33.5% [28/29 countries] | ||
% of those who think that nuclear waste is the most important environmental problem for their country (2010) | 6.0% [17/29 countries] | ||
% of those who think that nuclear waste is the most important environmental problem for them and their family (2010) | 2.7% [12/29 countries] |
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Municipal waste (kg per capita) | 442 (2020) [25/37 countries] | ||
Municipal waste, % of recycling | 20.3% (2020) [26/35 countries] | ||
% of those who think that domestic waste disposal is the most important environmental problem for their country (2010) | 4.5% [21/29 countries] | ||
% of those who think that domestic waste disposal is the most important environmental problem for them and their family (2010) | 7.0% [25/29 countries] | ||
% of those who always sort things for recycling (2010) | 61.8% [13/29 countries] |
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% of those who think that policies depend more on what is happening in the world economy (2016) | 46.4% [7/25 countries] |
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Outward direct investment - stock (% of GDP) (2020) | 83.3% [7/38 countries] | ||
Inward direct investment - stock (% of GDP) (2020) | 71.2% [14/38 countries] |
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Intentional homicide (cases per 100,000 population) (2020) | 1.23 [14/34 countries] | ||
Serious assault (cases per 100,000 population) (2020) | 52.4 [16/33 countries] | ||
Sexual violence (cases per 100,000 population) (2020) | 209.4 [1/33 countries] | ||
Theft (cases per 100,000 population) (2020) | 3,079.8 [1/33 countries] | ||
Burglary (cases per 100,000 population) (2020) | 803.4 [2/30 countries] | ||
Fraud (cases per 100,000 population) (2020) | 2,762.1 [1/31 countries] | ||
% of those who think that organised crime has the most influence on the actions of the government (2016) | 0.6% [15/25 countries] | ||
% of those who think that they have to be corrupt to get all the way to the top in this country today (2009) | 8.5% [28/30 countries] | ||
% of those who think that they have to be corrupt to get all the way to the top in this country today (1999) | 20.7% [15/21 countries] | ||
Road traffic mortality rate (per 100,000 population) (2019) | 3.1 [34/38 countries] | ||
Mortality rate due to homicide (per 100,000 population) (2019) | 1.1 [18/38 countries] |
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Height - Men (cm) (2001-2007) | 180.6 [4/26 countries] | ||
Height - Women (cm) (2001-2007) | 166.6 [5/26 countries] | ||
Prevalence of obesity among children and adolescents (5?19 years) (%) (2016) | 6.7% [35/38 countries] |
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% of those who do moderate physical activity every day (2011) | 11.8% [17/25 countries] |
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Prevalence of anaemia in women of reproductive age (15?49 years) (%) (2019) | 13.6% [13/36 countries] | ||
Age-standardized prevalence of hypertension among adults aged 30-79 years (%) (2019) | 30.2% [27/38 countries] | ||
Blood type A (% of total) (??) | 44% [3/19 countries] | ||
Blood type AB (% of total) (??) | 6% [7/19 countries] | ||
Blood type B (% of total) (??) | 12% [7/19 countries] | ||
Blood type O (% of total) (??) | 38% [13/19 countries] |
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Time spent for sleeping (men and women, minutes per day per person) | 482.7 (2010) [28/30 countries] | ||
Time spent for sleeping (men, minutes per day per person) | 482.0 (2010) [26/30 countries] | ||
Time spent for sleeping (women, minutes per day per person) | 483.3 (2010) [28/30 countries] |
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Time spent for eating and drinking (men and women, minutes per day per person) | 82.5 (2010) [20/30 countries] | ||
Time spent for eating and drinking (men, minutes per day per person) | 80.0 (2010) [23/30 countries] |
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% of those who smoke more than 10 cigarettes per day (2011) | 5.1% [25/25 countries] | ||
% of those who think that non-smokers should be medically prioritized over heavy smokers (2011) | 42.5% [9/25 countries] |
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% of those who use cannabis | 3.80% (2020) [28/38 countries] | ||
% of those who use cocaine | 1.20% (2017) [15/38 countries] | ||
% of those who use amphetamines | 0.70% (2017) [11/36 countries] | ||
% of those who use ecstasy | 0.90% (2017) [15/38 countries] |
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Tuberculosis incidence (per 100,000 population) (2020) | 4 [29/38 countries] | ||
Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years (%) (2020) | 0.13 [20/38 countries] | ||
Reported number of people requiring interventions against NTDs (2020) | 18 [12/38 countries] | ||
Probability of dying from any of CVD, cancer, diabetes, CRD between age 30-70 (%) (2019) | 8.4 [35/38 countries] | ||
% of those who think that antibiotics can kill bacteria but not viruses (2000) | 92.1% [3/22 countries] | ||
% of those who think that all man-made chemicals can cause cancer if they eat enough of them (2000) | 57.5% [16/22 countries] |
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Food self-sufficiency ratio (calorie-based) (2019) | 81% [7/14 countries] | ||
Agriculture, forestry and fishing, value added per worker (constant 2015 US$) (2019) | 83,760 [7/38 countries] | ||
Agriculture, forestry, and fishing, value added (million US$) | 8,451 (2021) [16/36 countries] | ||
Agriculture, forestry, and fishing, value added (% of GDP) | 1.3% (2021) [25/36 countries] | ||
Employment in agriculture (% of total employment) (2019) | 1.7% [31/38 countries] | ||
Employment in agriculture (% of total employment) (2019) | 1.7% [31/38 countries] |
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Stimulants, food supply quantity (kg/capita/year) (2019) | 10.48 [3/38 countries] | ||
Coffee and products, food supply quantity (kg/capita/year) (2019) | 10.12 [3/38 countries] | ||
Tea (including mate), food supply quantity (kg/capita/year) (2019) | 0.36 [18/38 countries] | ||
Alcoholic Beverages, food supply quantity (kg/capita/year) (2019) | 76.74 [25/38 countries] | ||
Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol) (2019) | 9.0 [28/38 countries] | ||
% of those who often drink 4 or more alcoholic drinks on the same day (2011) | 3.1% [18/25 countries] | ||
Wine, food supply quantity (kg/capita/year) (2019) | 20.27 [14/38 countries] | ||
Beer, food supply quantity (kg/capita/year) (2019) | 52.10 [26/38 countries] | ||
Fermented beverages, food supply quantity (kg/capita/year) (2019) | 0.20 [25/38 countries] |
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% of those who eat fresh fruit or vegetables every day (2011) | 56.3% [11/25 countries] |
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Travel & Tourism Competitiveness (ranking by World Economic Forum) (2019) | 22 [19/38 countries] | ||
Number of foreign visitors to Japan (2019) | 54,914 [13/37 countries] | ||
Number of foreign visitors to Japan (per 10,000 population) (2019) | 53.4 [10/37 countries] | ||
International tourism, number of arrivals (ten thousands) (2019) | 761.6 [25/37 countries] | ||
International tourism, number of departures (ten thousands) (2019) | 1,906.1 [15/38 countries] | ||
% of those who never stayed away from home in the last year (2007) | 13.3% [18/24 countries] | ||
% of those who stayed away from home for more than 10 days (2007) | 55.9% [7/24 countries] |
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Time spent for TV or radio at home (men and women, minutes per day per person) | 113.3 (2010) [22/30 countries] | ||
Time spent for TV or radio at home (men, minutes per day per person) | 123.0 (2010) [23/30 countries] | ||
Time spent for TV or radio at home (women, minutes per day per person) | 104.1 (2010) [19/30 countries] |
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% of those who listen to music in their free time daily (2007) | 57.0% [8/24 countries] | ||
Musical instruments, output (100 million yen) (2005) | 21.4 [15/29 countries] |
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Film production, 2005-2009 average (2005-2009) | 41.0 [15/38 countries] | ||
Average ticket price (US$) | 11.61 (2009) [7/33 countries] | ||
% of those who go to the movies in their free time several times a month or more (2007) | 2.9% [23/24 countries] | ||
% of those who agree that increased exposure to foreign films, music, and books is damaging our national and local cultures (2003) | 15.5% [25/26 countries] |
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% of those who feel close to their town or city (2013) | 74.9% [21/26 countries] | ||
% of those who feel close to their town or city (2003) | 72.9% [24/27 countries] | ||
% of those who feel close to their town or city (1995) | 66.0% [18/20 countries] | ||
% of those who feel close to their county (2013) | 75.1% [16/26 countries] | ||
% of those who feel close to their county (2003) | 68.2% [21/27 countries] | ||
% of those who feel close to their county (1995) | 66.0% [16/20 countries] | ||
% of those who feel close to their country (2013) | 86.3% [17/26 countries] | ||
% of those who feel close to their country (2003) | 86.5% [22/27 countries] | ||
% of those who feel close to their country (1995) | 83.0% [16/20 countries] | ||
% of those who feel close to [Continent] (2013) | 51.9% [16/26 countries] | ||
% of those who feel close to [Continent] (2003) | 48.8% [18/27 countries] |