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% of those who have confidence in parliament (2018) | 24.7% [24/24 countries] | ||
% of those who have confidence in parliament (2008) | 43.0% [24/30 countries] | ||
% of those who have confidence in parliament (1998) | 45.5% [18/26 countries] | ||
% of those who think that MPs try to keep the promises they have made during the election (2016) | 10.3% [21/25 countries] | ||
% of those who think that MPs try to keep the promises they have made during the election (2006) | 15.6% [13/23 countries] | ||
% of those who think that the parliament considers your action if you take action against an unjust or harmful law (2014) | 13.4% [18/26 countries] | ||
% of those who think that the parliament considers your action if you take action against an unjust or harmful law (2004) | 20.6% [7/27 countries] |
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General government expenditures as % of GDP (2022) | 25.7% [36/38 countries] | ||
General government primary net lending/borrowing as % of GDP (2022) | 1.10% [3/38 countries] | ||
General government gross debt as % of GDP (2022) | 36% [34/38 countries] | ||
% of those who are in favour of cuts in government spending (2016) | 67.7% [10/25 countries] | ||
% of those who are in favour of cuts in government spending (2006) | 69.4% [10/23 countries] |
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Total public social expenditure on families as % of GDP (2017) | 1.77% [27/37 countries] | ||
% of those who think that they should take care of themselves and their family first, before helping other people (2001) | 76.1% [9/22 countries] | ||
% of those who feel that their family, relatives and/or friends make too many demands on them (2001) | 19.9% [19/22 countries] | ||
Extent of satisfaction with family life (7 steps) (2012) | 5.68 [5/31 countries] | ||
Extent of satisfaction with family life (7 steps) (2002) | 5.81 [2/27 countries] | ||
Extent of satisfaction with the relationships with family members (7 steps) (2018) | 5.99 [1/24 countries] |
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GDP (current US$, billions) (2021) | 316.864 [23/38 countries] | ||
GDP per capita (current US$) (2021) | 16,070 [34/38 countries] | ||
GDP per capita (PPP, current international$) (2021) | 26,713 [35/38 countries] | ||
GNI per capita, Atlas method (current US$) (2021) | 15,000 [33/37 countries] | ||
Labour Productivity (GDP per hour worked, current PPP US$) (2020) | 35.3 [35/35 countries] | ||
Shadow economy, as % of GDP (2015) | 13.2% [21/38 countries] | ||
% of those who think that the economy is the most important issue for their country (2010) | 3.1% [28/28 countries] | ||
Total reserves (includes gold, 100 million US$) (2021) | 513 [22/38 countries] | ||
% of those who agree that the government is responsible for providing industry with the help it needs to grow (2016) | 77.7% [15/25 countries] | ||
% of those who agree that the government is responsible for providing industry with the help it needs to grow (2006) | 80.0% [14/23 countries] | ||
% of those who are proud of their country in its economic achievements (2003) | 74.3% [7/27 countries] |
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Share prices (10 years ago as 100) (2021) | 441 [11/36 countries] | ||
% of currency and deposits in household financial assets | 20.2% (2021) [28/36 countries] |
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Manufacturing, value added (% of GDP) | 8.7% (2021) [34/38 countries] | ||
% of employment of small and medium sized companies (1-249 employees) in manufacturing | 44.1% (2016) [28/34 countries] | ||
% of employment of large companies (250 and more employees) in manufacturing | 55.9% (2016) [7/34 countries] |
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Tourism, % of GDP | 3.3% (2019) [8/13 countries] |
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New business density (new registrations per 1,000 people ages 15-64) (2020) | 12.11 [5/31 countries] | ||
Cost of business start-up procedures (% of GNI per capita) (2019) | 2.7% [15/38 countries] |
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Part-time employment - male | 12.4% (2021) [9/37 countries] | ||
Part-time employment - female | 22.5% (2021) [19/37 countries] | ||
Temporary employment - male as % of dependent employment | 27.3% (2021) [2/36 countries] | ||
Temporary employment - female as % of dependent employment | 25.4% (2021) [5/36 countries] | ||
Temporary employment - 15-24 years as % of dependent employment | 47.4% (2021) [11/36 countries] | ||
% of those willing to accept temporary employment to avoid unemployment (2015) | 38.6% [25/27 countries] |
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% of those who do any work for additional income in addition to their main job (2015) | 26.1% [4/27 countries] |
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Public expenditure for active labor policy, % of GDP | 0.11% (2019) [30/32 countries] |
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% of those who can make much use of their past work experience and /or job skills in their present job (2015) | 68.9% [12/27 countries] | ||
% of those who have got training to improve job skills over the past 12 months (2015) | 31.0% [25/27 countries] | ||
% of those willing to accept a job that requires new skills to avoid unemployment (2015) | 70.4% [25/27 countries] |
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% of those who take part in voluntary work once a month or more (2011-2017) | 17.0% [16/28 countries] | ||
% of those who never take part in voluntary work (2011-2017) | 68.0% [13/28 countries] |
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Pre-school enrolment rates, children aged 0 to 2 year old | 21.7% (2017) [29/37 countries] | ||
Pre-school enrolment rates, children aged 3 to 5 year old | 79.2% (2017) [30/37 countries] |
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Average class size in primary education (public and private) | 30.8 (2018) [1/31 countries] | ||
Average class size in primary education (public) (2018) | 28.5 [1/34 countries] | ||
Average class size in primary education (private) | 32.1 (2018) [1/31 countries] | ||
Ratio of students to teaching staff in primary schools (public and private) (2018) | 19.4 [4/38 countries] | ||
Ratio of students to teaching staff in primary schools (public) (2018) | 15.0 [17/38 countries] | ||
Ratio of students to teaching staff in primary schools (private) (2018) | 23.5 [2/36 countries] | ||
Annual number of hours of compulsory instruction in primary education (2019) | 1,008 [3/35 countries] |
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% of Grade 4 students who have their own room (2019) | 64.4% [23/28 countries] | ||
% of Grade 4 students who have internet connection at home (2019) | 85.7% [25/28 countries] | ||
% of Grade 4 students who have their own mobile phone (2019) | 77.4% [12/28 countries] |
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Average class size in lower secondary education (public and private) | 30.2 (2018) [3/32 countries] | ||
Average class size in lower secondary education (public) | 28.6 (2018) [5/33 countries] | ||
Average class size in lower secondary education (private) | 31.1 (2018) [2/32 countries] | ||
Ratio of students to teaching staff in lower secondary education (public and private) (2018) | 20.2 [3/34 countries] | ||
Ratio of students to teaching staff in lower secondary education (public) (2018) | 16.2 [5/34 countries] | ||
Ratio of students to teaching staff in lower secondary education (private) (2018) | 24.4 [2/32 countries] |
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% of Grade 8 students who have their own room (2019) | 75.4% [15/17 countries] | ||
% of Grade 8 students who have their own room (2011) | 74.7% [11/15 countries] | ||
% of Grade 8 students who have internet connection at home (2019) | 88.4% [17/18 countries] | ||
% of Grade 8 students who have internet connection at home (2011) | 67.2% [15/16 countries] | ||
% of Grade 8 students who have their own mobile phone (2019) | 93.5% [12/18 countries] |
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% of Grade 8 students who expect them to finish undergraduate or postgraduate degree (2019) | 70.9% [5/18 countries] | ||
% of Grade 8 students who expect them to finish postgraduate degree (2019) | 34.5% [5/18 countries] |
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Performance on the reading (15 years old, average score) (2018) | 452.27 [34/37 countries] | ||
Performance on the reading (15 years old, average score) (2015) | 459 [33/38 countries] | ||
Performance on the reading (15 years old, average score) (2000) | 410 [30/30 countries] | ||
Performance on the mathematics (15 years old, average score) (2018) | 417.41 [35/38 countries] | ||
Performance on the mathematics (15 years old, average score) (2015) | 423 [34/38 countries] | ||
Performance on the mathematics (15 years old, average score) (2000) | 384 [30/30 countries] | ||
Performance on the science (15 years old, average score) (2018) | 443.58 [35/38 countries] | ||
Performance on the science (15 years old, average score) (2015) | 447 [34/38 countries] | ||
Performance on the science (15 years old, average score) (2000) | 415 [30/30 countries] | ||
% of 15 year old students who have ever repeated a grade (2009) | 23.4% [8/37 countries] |
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% of 15-year-old students who have a computer they can use for school work in their home (2018) | 82.2% [33/38 countries] | ||
% of 15-year-old students who have classic literature in their home (2018) | 37.1% [34/38 countries] | ||
% of 15-year-old students who have books of poetry in their home (2018) | 36.2% [25/38 countries] | ||
% of 15-year-old students who have works of art (e.g. paintings) in their home (2018) | 58.4% [26/38 countries] | ||
% of 15-year-old students who have musical instruments (e.g. guitar, piano) in their home (2018) | 28.0% [26/38 countries] |
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% of 15-year olds who read emails several times a day (2018) | 6.2% [35/38 countries] | ||
% of 15-year olds who chat on line several times a day (2018) | 74.6% [18/38 countries] | ||
% of 15-year olds who read online news several times a day (2018) | 17.1% [30/38 countries] | ||
% of 15-year olds who search information online to learn about a particular topic several times a day (2018) | 32.9% [8/38 countries] | ||
% of 15-year olds who take part in online group discussions or forums several times a day (2018) | 10.4% [15/38 countries] | ||
% of 15-year olds who search for practical information online several times a day (2018) | 20.8% [16/38 countries] |
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% of 15-year-olds who think that their life has clear meaning or purpose (2018) | 71.6% [6/34 countries] | ||
% of 15-year-olds who have discovered a satisfactory meaning in life (2018) | 64.4% [9/34 countries] | ||
% of 15-year-olds who have a clear sense of what gives meaning to their life (2018) | 67.2% [9/34 countries] |
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% of 15-year-olds who always feel happy (2018) | 45.5% [9/33 countries] | ||
% of 15-year-olds who always feel scared (2018) | 3.2% [17/33 countries] | ||
% of 15-year-olds who always feel lively (2018) | 37.3% [11/33 countries] | ||
% of 15-year-olds who always feel miserable (2018) | 8.6% [1/33 countries] | ||
% of 15-year-olds who always feel proud (2018) | 22.4% [8/33 countries] | ||
% of 15-year-olds who always feel afraid (2018) | 3.3% [30/33 countries] | ||
% of 15-year-olds who always feel joyful (2018) | 48.9% [8/33 countries] | ||
% of 15-year-olds who always feel sad (2018) | 7.5% [11/33 countries] | ||
% of 15-year-olds who always feel cheerful (2018) | 41.8% [16/33 countries] |
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% of 15-year olds who usually manage one way or another (2018) | 87.3% [13/37 countries] | ||
% of 15-year olds who feel proud that they have accomplished things (2018) | 85.9% [13/37 countries] | ||
% of 15-year olds who feel that they can handle many things at a time (2018) | 73.9% [4/37 countries] | ||
% of 15-year olds who can usually find their way out in a difficult situation (2018) | 79.7% [22/37 countries] |
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% of 15-year olds who feel like an outsider (or left out of things) (2018) | 21.7% [11/37 countries] | ||
% of 15-year olds who make friends easily at school (2018) | 64.4% [37/37 countries] | ||
% of 15-year olds who feel like they belong at school. (2018) | 70.1% [16/37 countries] | ||
% of 15-year olds who feel awkward and out of place in their school. (2018) | 18.7% [18/37 countries] | ||
% of 15-year olds who think that other students seem to like them (2018) | 70.9% [30/37 countries] | ||
% of 15-year olds who feel lonely at school (2018) | 20.5% [4/37 countries] |
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Average hours per week to spend learning foreign language out of school (2015) | 3.89 [21/38 countries] | ||
Dispersion (S.E.) of hours per week to spend learning foreign language out of school (2015) | 0.096 [14/38 countries] |
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Number of Nobel prize lauriates (by place of birth) (2020) | 2 [26/36 countries] | ||
Gross Domestic Expenditure on R&D (GERD) at current PPP million $ | 1,623 (2018) [31/37 countries] | ||
Gross Domestic Expenditure on R&D (GERD) as % of GDP | 0.35% (2018) [35/37 countries] | ||
% of GERD financed by the business and enterprise sector | 29.9% (2018) [34/36 countries] | ||
% of GERD financed by government | 48.1% (2018) [2/36 countries] | ||
Total researchers per thousand total employment | 1.10 (2018) [33/34 countries] | ||
% women among researchers | 34.4% (2018) [17/31 countries] |
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% of those who think that scientific advances harm mankind (5 choices) (2010) | 44.3% [2/29 countries] | ||
% of those who think that scientific advances harm mankind (5 choices) (2008) | 36.5% [2/30 countries] | ||
% of those who think that scientific advances harm mankind (5 choices) (2000) | 50.1% [2/22 countries] | ||
% of those who think that scientific advances harm mankind (5 choices) (1998) | 37.4% [2/26 countries] | ||
% of those who agree that we believe too often in science and not enough in feelings and faith (2010) | 52.8% [4/29 countries] | ||
% of those who agree that we believe too often in science and not enough in feelings and faith (2000) | 60.7% [4/22 countries] | ||
% of those who are proud of their country in its scientific and technological achievements (2003) | 73.5% [19/27 countries] |
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E-Government Development Index (2020) | 0.8259 [26/38 countries] | ||
E-Participation Index (as a component of E-Government Development Index) (2020) | 0.8571 [19/38 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) | 0.8643 [28/38 countries] |
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Bird species, threatened (2018) | 35 [7/38 countries] | ||
Fish species, threatened (2018) | 27 [20/38 countries] | ||
Mammal species, threatened (2018) | 19 [6/38 countries] | ||
Plant species (higher), threatened (2018) | 73 [10/38 countries] | ||
Terrestrial protected areas (% of total land area) (2018) | 18.5% [22/38 countries] | ||
Marine protected areas (% of territorial waters) (2018) | 28.8% [9/32 countries] | ||
% of those who think that gene modification is very dangerous for the environment (2010) | 78.7% [2/29 countries] | ||
% of those who think that gene modification is very dangerous for the environment (2000) | 71.8% [3/21 countries] | ||
% of those who think that genetically modified foods are the most important environmental problem for their country (2010) | 1.8% [28/29 countries] | ||
% of those who think that genetically modified foods are the most important environmental problem for them and their family (2010) | 4.2% [25/29 countries] |
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Coal supply per capita (kg) (2018) | 698 [10/32 countries] | ||
Crude oil supply per capita (kg) (2018) | 468 [27/31 countries] | ||
Natural gas supply per capita (million J) (2018) | 10,834 [29/31 countries] | ||
Electric power supply per capita (kWh) (2018) | 4,395 [28/32 countries] | ||
Renewable energy, % of primary energy supply (2020) | 29.7% [10/37 countries] | ||
Electricity production from oil, gas and coal sources, % of total (2018) | 60.7% [13/32 countries] |
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Municipal waste (kg per capita) | 437 (2018) [26/37 countries] | ||
Municipal waste, % of recycling | 0.4% (2018) [35/35 countries] | ||
% of those who think that domestic waste disposal is the most important environmental problem for their country (2010) | 10.2% [10/29 countries] | ||
% of those who think that domestic waste disposal is the most important environmental problem for them and their family (2010) | 13.1% [11/29 countries] | ||
% of those who always sort things for recycling (2010) | 11.7% [28/29 countries] |
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% of those who think that policies depend more on what is happening in the world economy (2016) | 37.6% [17/25 countries] |
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Exports of goods and services (billion US$) (2020) | 79.7 [29/38 countries] | ||
Exports of goods and services, % of GDP (2020) | 31.5% [25/38 countries] | ||
Imports of goods and services (billion US$) (2020) | 68.2 [30/38 countries] | ||
Imports of goods and services, % of GDP (2020) | 27.0% [31/38 countries] | ||
External balance on goods and services (million US$) (2020) | 12 [16/38 countries] | ||
Current account balance (billion US$) (2021) | -4.777 [30/38 countries] | ||
Export from Japan (million US$) (2018) | 2,216 [19/37 countries] | ||
Import to Japan (million US$) (2018) | 6,987 [10/37 countries] | ||
% of those who think the import of foreign products should be limited (2003) | 63.5% [7/27 countries] | ||
% of those who agree that free trade leads to better products becoming available in the country (2003) | 79.0% [3/27 countries] |
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Outward direct investment - stock (% of GDP) (2020) | 40.5% [17/38 countries] |
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Military expenditure (billion US$) (2020) | 4.6 [23/38 countries] | ||
Military expenditure (% of GDP) (2020) | 1.9% [15/37 countries] | ||
Armed forces personnel (ten thousands) (2019) | 12.2 [15/38 countries] | ||
% of those who would like to see more government spending in the military and defence (2016) | 21.3% [19/24 countries] | ||
% of those who would like to see more government spending in the military and defence (2006) | 20.8% [12/23 countries] | ||
% of those who think that the military/army has the most influence on the actions of the government (2016) | 3.2% [2/24 countries] | ||
% of those who think that the government is successful in the security of the country (2006) | 33.4% [21/25 countries] | ||
% of those who are proud of their country in its armed forces (2003) | 69.4% [7/27 countries] |
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Prevalence of obesity among children and adolescents (5?19 years) (%) (2016) | 15.2% [3/38 countries] |
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% of those who do moderate physical activity every day (2011) | 11.1% [20/25 countries] |
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Prevalence of anaemia in women of reproductive age (15?49 years) (%) (2019) | 8.7% [35/36 countries] |
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% of those who smoke more than 10 cigarettes per day (2011) | 6.1% [23/25 countries] | ||
% of those who think that non-smokers should be medically prioritized over heavy smokers (2011) | 35.2% [16/25 countries] |
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% of those who use cannabis | 12.05% (2020) [5/38 countries] | ||
% of those who use cocaine | 0.76% (2020) [24/38 countries] | ||
% of those who use amphetamines | 0.18% (2020) [28/36 countries] | ||
% of those who use ecstasy | 0.30% (2020) [28/38 countries] |
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New HIV infectionsf (per 1000 uninfected population) (2020) | 0.26 [2/19 countries] | ||
Tuberculosis incidence (per 100,000 population) (2020) | 15 [7/38 countries] | ||
Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years (%) (2020) | 0.03 [32/38 countries] | ||
Reported number of people requiring interventions against NTDs (2020) | 16 [14/38 countries] | ||
Probability of dying from any of CVD, cancer, diabetes, CRD between age 30-70 (%) (2019) | 10.0 [22/38 countries] | ||
% of those who think that antibiotics can kill bacteria but not viruses (2000) | 88.2% [6/22 countries] | ||
% of those who think that all man-made chemicals can cause cancer if they eat enough of them (2000) | 84.9% [2/22 countries] |
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Agriculture, forestry and fishing, value added per worker (constant 2015 US$) (2019) | 11,937 [34/38 countries] | ||
Agriculture, forestry, and fishing, value added (million US$) | 10,415 (2021) [15/36 countries] | ||
Agriculture, forestry, and fishing, value added (% of GDP) | 3.3% (2021) [8/36 countries] | ||
Employment in agriculture (% of total employment) (2019) | 9.0% [7/38 countries] | ||
Employment in agriculture (% of total employment) (2019) | 9.0% [7/38 countries] | ||
Producer support estimates, as % of gross farm receipts (2021) | 2.85% [14/16 countries] |
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Stimulants, food supply quantity (kg/capita/year) (2019) | 2.23 [34/38 countries] | ||
Coffee and products, food supply quantity (kg/capita/year) (2019) | 0.51 [38/38 countries] | ||
Tea (including mate), food supply quantity (kg/capita/year) (2019) | 1.53 [4/38 countries] | ||
Alcoholic Beverages, food supply quantity (kg/capita/year) (2019) | 63.51 [31/38 countries] | ||
Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol) (2019) | 8.9 [29/38 countries] | ||
% of those who often drink 4 or more alcoholic drinks on the same day (2011) | 1.4% [25/25 countries] | ||
Wine, food supply quantity (kg/capita/year) (2019) | 17.27 [18/38 countries] | ||
Beer, food supply quantity (kg/capita/year) (2019) | 43.51 [30/38 countries] | ||
Fermented beverages, food supply quantity (kg/capita/year) (2019) | 0.02 [33/38 countries] |
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% of those who eat fresh fruit or vegetables every day (2011) | 39.4% [21/25 countries] |
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Game and toys, output (100 million yen) (2005) | 10.4 [23/28 countries] | ||
Game and toys, output as % of total manufacturing (2005) | 0.011% [26/28 countries] | ||
% of those who play cards or board games in their free time several times a month or more (2007) | 21.3% [13/24 countries] | ||
% of those who play card games most frequently among non-sport games (2007) | 40.5% [2/24 countries] | ||
% of those who play computer games most frequently among non-sport games (2007) | 16.1% [6/24 countries] | ||
% of those who play gambling most frequently among non-sport games (2007) | 6.4% [8/24 countries] | ||
% of those who play word or number games most frequently among non-sport games (2007) | 7.6% [21/24 countries] | ||
% of those who play mah-jongg most frequently among non-sport games (2007) | 0.5% [14/24 countries] | ||
% of those who play jigsaw puzzles most frequently among non-sport games (2007) | 2.9% [14/24 countries] |
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Travel & Tourism Competitiveness (ranking by World Economic Forum) (2019) | 52 [33/38 countries] | ||
Number of foreign visitors to Japan (2019) | 13,489 [26/37 countries] | ||
Number of foreign visitors to Japan (per 10,000 population) (2019) | 7.1 [33/37 countries] | ||
International tourism, receipts (% of total exports) (2019) | 4.2% [22/29 countries] | ||
International tourism, number of arrivals (ten thousands) (2019) | 543.1 [29/37 countries] | ||
International tourism, expenditures (% of total imports) (2019) | 3.8% [19/29 countries] | ||
International tourism, number of departures (ten thousands) (2019) | 409.1 [31/38 countries] | ||
% of those who never stayed away from home in the last year (2007) | 46.2% [3/24 countries] | ||
% of those who stayed away from home for more than 10 days (2007) | 24.4% [21/24 countries] |
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Book production, annual total | 1,443 (1999) [33/33 countries] | ||
Book production, % of arts and recreation | 3.0% (1999) [31/33 countries] | ||
Book production, % of literature | 37.3% (1999) [5/33 countries] | ||
Book production, % of religion and theology | 7.8% (1999) [3/33 countries] | ||
Book production, % of sciences | 38.0% (1999) [22/33 countries] | ||
% of those who read books in their free time daily (2007) | 6.7% [24/24 countries] | ||
% of those who get much enjoyment from reading books (2007) | 34.7% [21/24 countries] |
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% of those who listen to music in their free time daily (2007) | 62.0% [6/24 countries] | ||
Musical instruments, output (100 million yen) (2005) | 0.7 [26/29 countries] | ||
Musical instruments, output as % of total manufacturing (2005) | 0.001% [28/29 countries] |
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Number of cinemas (2005) | 65 [21/29 countries] | ||
Film production, 2005-2009 average (2005-2009) | 15.8 [28/38 countries] | ||
% of those who go to the movies in their free time several times a month or more (2007) | 6.9% [18/24 countries] |
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% of those who think that the most important identification is nationality (2003) | 12.5% [8/27 countries] | ||
% of those who think that the most important identification is occupation (2003) | 20.2% [7/27 countries] | ||
% of those who think that the most important identification is race/ethnic background (2003) | 8.3% [6/27 countries] | ||
% of those who think that the most important identification is gender (2003) | 24.4% [1/27 countries] | ||
% of those who think that the most important identification is age (2003) | 4.1% [18/27 countries] | ||
% of those who think that the most important identification is religion (2003) | 3.0% [18/27 countries] | ||
% of those who think that the most important identification is political preference (2003) | 0.6% [15/27 countries] | ||
% of those who think that the most important identification is family or marital status (2003) | 21.5% [23/27 countries] | ||
% of those who think that the most important identification is social class (2003) | 2.0% [15/27 countries] |
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% of those who feel close to their town or city (2003) | 85.7% [8/27 countries] | ||
% of those who feel close to their county (2003) | 85.3% [6/27 countries] | ||
% of those who feel close to their country (2003) | 91.8% [12/27 countries] |