 Hungary | |||
| Statutory number of members (As of February 16, 2023) | 199 [61/190 countries] | ||
| Inhabitants per parliamentarian (2021) | 49,166 [94/192 countries] | ||
| % of women in parliament (As of February 16, 2023) | 13.07% [152/185 countries] | ||
| % of MPs 40 years of age or younger (As of February 16, 2023) | 18.59% [80/143 countries] | ||
| Women in ministerial positions (% of all ministers) (2021) | 21.4% [91/193 countries] | ||
| Average age of cabinet members (2018) | 53.79 [16/35 countries] | ||
| % of those who trust politicians (2014) | 32.4% [15/34 countries] | ||
| % of those who trust politicians (2004) | 23.4% [24/38 countries] | ||
| % of those who think that many politicians are involved in corruption (2016) | 69.8% [10/35 countries] | ||
| % of those who think that many politicians are involved in corruption (2006) | 69.8% [7/33 countries] | ||
| % of those who think that most politicians are in politics only for their own interest (2014) | 51.5% [21/34 countries] | ||
| % of those who think that most politicians are in politics only for their own interest (2004) | 58.4% [21/38 countries] |
| Hungary | |||
| % of those who have confidence in parliament (2018) | 69.6% [13/47 countries] | ||
| % of those who have confidence in parliament (2008) | 36.4% [37/44 countries] | ||
| % of those who have confidence in parliament (1998) | 66.1% [6/30 countries] | ||
| % of those who think that MPs try to keep the promises they have made during the election (2016) | 22.1% [18/35 countries] | ||
| % of those who think that MPs try to keep the promises they have made during the election (2006) | 10.3% [28/33 countries] | ||
| % of those who think that MPs try to keep the promises they have made during the election (1996) | 10.8% [22/24 countries] | ||
| % of those who think that the parliament considers your action if you take action against an unjust or harmful law (2014) | 10.4% [29/34 countries] | ||
| % of those who think that the parliament considers your action if you take action against an unjust or harmful law (2004) | 8.5% [34/37 countries] |
| Hungary | |||
| Population (ten thousands) (2021) | 971.0 [94/216 countries] | ||
| Popuation growth (annual) (2021) | -0.4% [181/217 countries] | ||
| Popuation change in the last 20 years (2001-2021) | -4.7% [201/217 countries] | ||
| 0-14 years, % of the total population (2021) | 14.5% [179/193 countries] | ||
| 15-64 years, % of the total population (2021) | 65.0% [82/193 countries] | ||
| 65 years and over, % of the total population (2021) | 20.6% [17/193 countries] | ||
| Life expectancy at birth - Both sexes (years) (2020) | 75.6 [82/199 countries] | ||
| Life expectancy at birth - Female (years) (2020) | 79.1 [74/199 countries] | ||
| Life expectancy at birth - Male (years) (2020) | 72.3 [89/199 countries] | ||
| Population density (per square kilometer) (2021) | 106.4 [97/216 countries] | ||
| Population in urban agglomerations of more than 1 million (% of total population) (2021) | 18.2 [75/121 countries] | ||
| % of those who think that there is strong conflicts between young people and older people (1999) | 35.5% [9/25 countries] |
| Hungary | |||
| Share prices (10 years ago as 100) (2021) | 619 [12/42 countries] | ||
| % of currency and deposits in household financial assets | 27.6% (2021) [23/38 countries] |
| Hungary | |||
| Manufacturing, value added (% of GDP) | 17.0% (2021) [40/193 countries] | ||
| % of employment of small and medium sized companies (1-249 employees) in manufacturing | 45.4% (2019) [30/37 countries] |
| Hungary | |||
| Tourism, employment, % of total employment | 9.5% (2019) [7/39 countries] | ||
| % of employment of small and medium sized companies (1-249 employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 79.6% (2019) [6/35 countries] | ||
| % of employment of large companies (250 and more employees) in Wholesale and retail trade; repair of motor vehicles and motorcycles | 20.4% (2019) [30/35 countries] |
| Hungary | |||
| New business density (new registrations per 1,000 people ages 15-64) (2020) | 4.01 [38/121 countries] | ||
| Cost of business start-up procedures (% of GNI per capita) (2019) | 4.5% [121/190 countries] |
| Hungary | |||
| Share of self-employed who are own-account workers, men, % of total employed | 7.9% (2020) [22/31 countries] | ||
| Share of self-employed who are own-account workers, women, % of total employed | 5.7% (2020) [21/31 countries] | ||
| % of those who think that employees have more job security than the self-employed (2005) | 47.5% [24/31 countries] | ||
| % of those who think that being an employee interferes more with family life than self-employment (2005) | 23.1% [21/31 countries] | ||
| % of those who prefer being an employee to being self-employed (2005) | 65.1% [9/31 countries] | ||
| % of those who prefer being an employee to being self-employed (1997) | 51.3% [11/25 countries] |
| Hungary | |||
| 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 | 5.7% (2021) [28/36 countries] | ||
| Temporary employment - female as % of dependent employment | 6.2% (2021) [28/36 countries] | ||
| Temporary employment - 15-24 years as % of dependent employment | 14.3% (2021) [30/36 countries] | ||
| % of those willing to accept temporary employment to avoid unemployment (2015) | 31.5% [35/37 countries] | ||
| % of those willing to accept temporary employment to avoid unemployment (2005) | 44.4% [27/31 countries] |
| Hungary | |||
| % of those who do any work for additional income in addition to their main job (2015) | 8.1% [36/37 countries] | ||
| % of those who do any work for additional income in addition to their main job (2005) | 13.4% [17/31 countries] |
| Hungary | |||
| Public expenditure for active labor policy, % of GDP | 0.58% (2019) [10/32 countries] |
| Hungary | |||
| % of those who always/ often have to do hard physical work (2015) | 29.8% [11/37 countries] | ||
| % of those who always/ often have to do hard physical work (2005) | 27.2% [8/31 countries] | ||
| % of those who always/ often have to do hard physical work (1997) | 30.7% [3/25 countries] | ||
| % of those who always/ often work in dangerous conditions (2005) | 24.5% [3/31 countries] | ||
| % of those who always/ often work in dangerous conditions (1997) | 25.2% [2/25 countries] |
| Hungary | |||
| % of those who take part in activities of charitable or religious organisations that do voluntary work once a month or more (2017) | 5.8% [25/30 countries] | ||
| % of those who never take part in activities of charitable or religious organisations that do voluntary work (2017) | 75.8% [7/30 countries] | ||
| Time spent for volunteering (men and women, minutes per day per person) | 0.6 (2010) [26/31 countries] | ||
| Time spent for volunteering (men, minutes per day per person) | 0.3 (2010) [27/31 countries] | ||
| Time spent for volunteering (women, minutes per day per person) | 0.4 (2010) [25/31 countries] |
| Hungary | |||
| Pre-school enrolment rates, children aged 0 to 2 year old | 16.3% (2017) [37/44 countries] | ||
| Pre-school enrolment rates, children aged 3 to 5 year old | 92.0% (2017) [18/46 countries] |
| Hungary | |||
| Average class size in primary education (public and private) | 21.8 (2018) [13/33 countries] | ||
| Average class size in primary education (public) (2018) | 22.0 [14/36 countries] | ||
| Average class size in primary education (private) | 20.6 (2018) [11/33 countries] | ||
| Ratio of students to teaching staff in primary schools (public and private) (2018) | 10.2 [36/40 countries] | ||
| Ratio of students to teaching staff in primary schools (public) (2018) | 10.0 [37/40 countries] | ||
| Ratio of students to teaching staff in primary schools (private) (2018) | 10.9 [28/38 countries] | ||
| Annual number of hours of compulsory instruction in primary education (2019) | 692 [26/36 countries] |
| Hungary | |||
| % of Grade 4 students who have their own room (2019) | 75.4% [22/57 countries] | ||
| % of Grade 4 students who have internet connection at home (2019) | 95.3% [17/57 countries] | ||
| % of Grade 4 students who have internet connection at home (2007) | 85.6% [23/37 countries] | ||
| % of Grade 4 students who have their own mobile phone (2019) | 84.0% [16/57 countries] |
| Hungary | |||
| Average class size in lower secondary education (public and private) | 20.8 (2018) [22/34 countries] | ||
| Average class size in lower secondary education (public) | 20.8 (2018) [23/35 countries] | ||
| Average class size in lower secondary education (private) | 20.9 (2018) [18/34 countries] | ||
| Ratio of students to teaching staff in lower secondary education (public and private) (2018) | 11.0 [23/36 countries] | ||
| Ratio of students to teaching staff in lower secondary education (public) (2018) | 10.7 [24/36 countries] | ||
| Ratio of students to teaching staff in lower secondary education (private) (2018) | 12.5 [14/34 countries] |
| Hungary | |||
| % of Grade 8 students who have their own room (2019) | 89.5% [6/38 countries] | ||
| % of Grade 8 students who have their own room (2011) | 86.4% [8/41 countries] | ||
| % of Grade 8 students who have internet connection at home (2019) | 98.4% [11/39 countries] | ||
| % of Grade 8 students who have internet connection at home (2011) | 89.4% [19/42 countries] | ||
| % of Grade 8 students who have their own mobile phone (2019) | 98.2% [5/39 countries] |
| Hungary | |||
| % of Grade 8 students who expect them to finish undergraduate or postgraduate degree (2019) | 50.8% [34/39 countries] | ||
| % of Grade 8 students who expect them to finish postgraduate degree (2019) | 20.8% [34/39 countries] |
| Hungary | |||
| Performance on the reading (15 years old, average score) (2018) | 475.99 [33/76 countries] | ||
| Performance on the reading (15 years old, average score) (2015) | 470 [39/72 countries] | ||
| Performance on the reading (15 years old, average score) (2000) | 480 [24/41 countries] | ||
| Performance on the mathematics (15 years old, average score) (2018) | 481.08 [36/77 countries] | ||
| Performance on the mathematics (15 years old, average score) (2015) | 477 [37/72 countries] | ||
| Performance on the mathematics (15 years old, average score) (2000) | 488 [22/41 countries] | ||
| Performance on the science (15 years old, average score) (2018) | 480.91 [32/77 countries] | ||
| Performance on the science (15 years old, average score) (2015) | 477 [35/72 countries] | ||
| Performance on the science (15 years old, average score) (2000) | 496 [16/41 countries] | ||
| % of 15 year old students who have ever repeated a grade (2009) | 11.1% [30/65 countries] |
| Hungary | |||
| % of 15-year-old students who have a computer they can use for school work in their home (2018) | 90.6% [28/79 countries] | ||
| % of 15-year-old students who have classic literature in their home (2018) | 61.0% [22/79 countries] | ||
| % of 15-year-old students who have books of poetry in their home (2018) | 58.2% [22/79 countries] | ||
| % of 15-year-old students who have works of art (e.g. paintings) in their home (2018) | 54.3% [52/79 countries] | ||
| % of 15-year-old students who have musical instruments (e.g. guitar, piano) in their home (2018) | 45.6% [33/79 countries] |
| Hungary | |||
| % of 15-year olds who read emails several times a day (2018) | 13.1% [25/77 countries] | ||
| % of 15-year olds who chat on line several times a day (2018) | 64.2% [52/77 countries] | ||
| % of 15-year olds who read online news several times a day (2018) | 32.5% [20/77 countries] | ||
| % of 15-year olds who search information online to learn about a particular topic several times a day (2018) | 28.3% [39/77 countries] | ||
| % of 15-year olds who take part in online group discussions or forums several times a day (2018) | 42.4% [1/77 countries] | ||
| % of 15-year olds who search for practical information online several times a day (2018) | 36.5% [2/77 countries] |
| Hungary | |||
| % of 15-year-olds who think that their life has clear meaning or purpose (2018) | 72.8% [28/74 countries] | ||
| % of 15-year-olds who have discovered a satisfactory meaning in life (2018) | 49.0% [68/74 countries] | ||
| % of 15-year-olds who have a clear sense of what gives meaning to their life (2018) | 47.2% [72/74 countries] |
| Hungary | |||
| % of 15-year-olds who always feel happy (2018) | 50.9% [15/73 countries] | ||
| % of 15-year-olds who always feel scared (2018) | 3.3% [44/73 countries] | ||
| % of 15-year-olds who always feel lively (2018) | 39.2% [28/73 countries] | ||
| % of 15-year-olds who always feel miserable (2018) | 6.5% [20/73 countries] | ||
| % of 15-year-olds who always feel proud (2018) | 21.1% [35/73 countries] | ||
| % of 15-year-olds who always feel afraid (2018) | 10.3% [23/73 countries] | ||
| % of 15-year-olds who always feel joyful (2018) | 54.3% [8/73 countries] | ||
| % of 15-year-olds who always feel sad (2018) | 5.2% [53/73 countries] | ||
| % of 15-year-olds who always feel cheerful (2018) | 42.7% [37/73 countries] |
| Hungary | |||
| % of 15-year olds who usually manage one way or another (2018) | 89.2% [10/78 countries] | ||
| % of 15-year olds who feel proud that they have accomplished things (2018) | 88.6% [15/78 countries] | ||
| % of 15-year olds who feel that they can handle many things at a time (2018) | 72.2% [14/78 countries] | ||
| % of 15-year olds who can usually find their way out in a difficult situation (2018) | 87.4% [4/78 countries] |
| Hungary | |||
| % of 15-year olds who feel like an outsider (or left out of things) (2018) | 19.1% [40/76 countries] | ||
| % of 15-year olds who make friends easily at school (2018) | 76.7% [14/76 countries] | ||
| % of 15-year olds who feel like they belong at school. (2018) | 71.0% [26/76 countries] | ||
| % of 15-year olds who feel awkward and out of place in their school. (2018) | 16.0% [61/76 countries] | ||
| % of 15-year olds who think that other students seem to like them (2018) | 79.8% [13/76 countries] | ||
| % of 15-year olds who feel lonely at school (2018) | 14.1% [55/76 countries] |
| Hungary | |||
| Average hours per week to spend learning foreign language out of school (2015) | 5.17 [14/56 countries] | ||
| Dispersion (S.E.) of hours per week to spend learning foreign language out of school (2015) | 0.133 [12/56 countries] |
| Hungary | |||
| Number of Nobel prize lauriates (by place of birth) (2020) | 13 [15/78 countries] | ||
| Gross Domestic Expenditure on R&D (GERD) at current PPP million $ | 4,903 (2019) [32/44 countries] | ||
| Gross Domestic Expenditure on R&D (GERD) as % of GDP | 1.48% (2019) [25/44 countries] | ||
| % of GERD financed by the business and enterprise sector | 52.4% (2018) [22/43 countries] | ||
| % of GERD financed by government | 32.3% (2018) [22/43 countries] | ||
| Total researchers per thousand total employment | 8.32 (2019) [24/41 countries] |
| Hungary | |||
| % of those who think that scientific advances harm mankind (5 choices) (2008) | 17.3% [24/44 countries] | ||
| % of those who think that scientific advances harm mankind (5 choices) (1998) | 15.2% [21/30 countries] | ||
| % of those who think that scientific advances harm mankind (5 choices) (1993) | 26.3% [10/20 countries] | ||
| % of those who agree that we believe too often in science and not enough in feelings and faith (1993) | 33.6% [20/20 countries] | ||
| % of those who are proud of their country in its scientific and technological achievements (2013) | 84.2% [16/33 countries] | ||
| % of those who are proud of their country in its scientific and technological achievements (2003) | 89.5% [8/34 countries] | ||
| % of those who are proud of their country in its scientific and technological achievements (1995) | 78.3% [14/23 countries] |
| Hungary | |||
| E-Government Development Index (2020) | 0.7745 [51/193 countries] | ||
| E-Participation Index (as a component of E-Government Development Index) (2020) | 0.6786 [75/193 countries] | ||
| Online Service Index (as a component of E-Government Development Index) (2020) | 0.7471 [55/193 countries] | ||
| Human Capital Component (as a component of E-Government Development Index) (2020) | 0.8509 [42/193 countries] | ||
| Telecomm Infrustrcture Index (as a component of E-Government Development Index) (2020) | 0.7255 [59/193 countries] |
| Hungary | |||
| Surface area (square km) (2020) | 93,030 [110/215 countries] | ||
| Land area (sq. km) (2020) | 91,260 [110/216 countries] | ||
| Agricultural land (% of land area) (2020) | 53.7% [51/209 countries] | ||
| Forest area (sq. km) (2020) | 20,530 [107/209 countries] | ||
| Forest area (% of land area) (2020) | 22.5% [129/209 countries] | ||
| Coastline (km) (2019) | 0 [186/230 countries] | ||
| Average yearly temperature (degrees Celsius) (1961-1990) | 9.8 [150/191 countries] | ||
| Average precipitation in depth (mm per year) (2019) | 589 [135/182 countries] |
| Hungary | |||
| Bird species, threatened (2018) | 13 [119/215 countries] | ||
| Fish species, threatened (2018) | 9 [176/215 countries] | ||
| Mammal species, threatened (2018) | 3 [165/215 countries] | ||
| Plant species (higher), threatened (2018) | 43 [78/215 countries] |
| Hungary | |||
| % of those who think that human beings developed from animals (1993) | 69.6% [12/20 countries] | ||
| % of those who think that animal testing is right (1993) | 78.3% [4/20 countries] | ||
| % of those who think that modern life harms the environment (1993) | 46.9% [11/20 countries] | ||
| % of those who think that people worry too much about human progress harming the environment (1993) | 65.1% [2/20 countries] |
| Hungary | |||
| % of those who would cut standard of living for the environment (1993) | 12.3% [20/20 countries] | ||
| % of those who would pay much higher prices for the environment (1993) | 35.6% [18/20 countries] | ||
| % of those who agree to an increase in taxes for the environment (5 choices) (1993) | 16.5% [20/20 countries] | ||
| % of those who think that economic growth harms the environment (1993) | 41.5% [8/20 countries] | ||
| % of those who think that people prioritize the environment too much over the economy (1993) | 46.7% [5/20 countries] | ||
| % of those who think that economic growth is nexessary to protect the environment (1993) | 71.0% [5/20 countries] |
| Hungary | |||
| CO2 emissions (kilo tonnes) (2019) | 46,380 [57/191 countries] | ||
| CO2 emissions per capita (metric tonnes) (2019) | 4.75 [57/191 countries] | ||
| CO2 emissions (kg per PPP $ of GDP) (2019) | 0.142 [109/182 countries] | ||
| Primary energy sufficiency ratio (2018) | 41.7% [49/63 countries] | ||
| % of those who think that global warming is very dangerous for the environment (1993) | 44.5% [19/20 countries] |
| Hungary | |||
| Coal supply per capita (kg) (2018) | 155 [39/73 countries] | ||
| Crude oil supply per capita (kg) (2018) | 725 [41/90 countries] | ||
| Natural gas supply per capita (million J) (2018) | 39,671 [33/88 countries] | ||
| Electric power supply per capita (kWh) (2018) | 4,775 [43/95 countries] | ||
| Renewable energy, % of primary energy supply (2020) | 11.3% [31/43 countries] | ||
| Electricity production from oil, gas and coal sources, % of total (2018) | 45.8% [64/97 countries] | ||
| Electricity production from hydroelectric sources, % of total (2018) | 0.7% [81/86 countries] |
| Hungary | |||
| Electricity production from nuclear sources, % of total (2018) | 49.2% [4/28 countries] | ||
| % of those who think that radioactivity results to death (1993) | 25.3% [17/20 countries] | ||
| % of those who think that all radioactivity is made by humans (1993) | 58.4% [8/20 countries] | ||
| % of those who think that nuclear power station is very dangerous for the environment (1993) | 50.0% [16/20 countries] |
| Hungary | |||
| Municipal waste (kg per capita) | 367 (2020) [33/37 countries] | ||
| Municipal waste, % of recycling | 22.2% (2020) [24/35 countries] |
| Hungary | |||
| % of those who think that policies depend more on what is happening in the world economy (2016) | 28.2% [31/35 countries] |
| Hungary | |||
| Outward direct investment - stock (% of GDP) (2020) | 23.6% [29/46 countries] | ||
| Inward direct investment - stock (% of GDP) (2020) | 65.9% [15/46 countries] |
| Hungary | |||
| Intentional homicide (cases per 100,000 population) (2020) | 0.83 [76/97 countries] | ||
| Kidnapping (cases per 100,000 population) (2020) | 0.11 [44/69 countries] | ||
| Sexual violence (cases per 100,000 population) (2020) | 5.2 [63/75 countries] | ||
| Theft (cases per 100,000 population) (2020) | 522.1 [30/80 countries] | ||
| Fraud (cases per 100,000 population) (2020) | 159.9 [25/69 countries] | ||
| % of those who think that organised crime has the most influence on the actions of the government (2016) | 3.1% [9/35 countries] | ||
| % of those who think that they have to be corrupt to get all the way to the top in this country today (2009) | 44.1% [9/41 countries] | ||
| % of those who think that they have to be corrupt to get all the way to the top in this country today (1999) | 31.2% [16/25 countries] | ||
| Road traffic mortality rate (per 100,000 population) (2019) | 7.7 [140/183 countries] | ||
| Mortality rate due to homicide (per 100,000 population) (2019) | 1.4 [143/183 countries] |
| Hungary | |||
| Prevalence of obesity among children and adolescents (5?19 years) (%) (2016) | 11.1% [59/190 countries] |
| Hungary | |||
| Prevalence of anaemia in women of reproductive age (15?49 years) (%) (2019) | 19.7% [132/192 countries] | ||
| Age-standardized prevalence of hypertension among adults aged 30-79 years (%) (2019) | 48.3% [8/192 countries] |
| Hungary | |||
| Time spent for sleeping (men and women, minutes per day per person) | 505.9 (2010) [19/33 countries] | ||
| Time spent for sleeping (men, minutes per day per person) | 502.9 (2010) [20/33 countries] | ||
| Time spent for sleeping (women, minutes per day per person) | 508.5 (2010) [20/33 countries] |
| Hungary | |||
| Time spent for eating and drinking (men and women, minutes per day per person) | 101.1 (2010) [11/33 countries] | ||
| Time spent for eating and drinking (men, minutes per day per person) | 105.2 (2010) [11/33 countries] | ||
| Time spent for eating and drinking (women, minutes per day per person) | 96.9 (2010) [12/33 countries] |
| Hungary | |||
| Current tobacco smokers, men and women (% of population) | 27.1% (2019) [20/121 countries] | ||
| Current tobacco smokers, men (% of population) (2001-2020) | 30.4% [64/150 countries] | ||
| Current tobacco smokers, women (% of population) (2001-2020) | 24.1% [13/150 countries] |
| Hungary | |||
| % of those who use cannabis | 1.30% (2019) [100/122 countries] | ||
| % of those who use cocaine | 0.30% (2019) [63/98 countries] | ||
| % of those who use amphetamines | 0.40% (2019) [50/99 countries] | ||
| % of those who use ecstasy | 0.60% (2019) [25/93 countries] |
| Hungary | |||
| Healthy life expectancy at birth - male (2019) | 65.0 [67/183 countries] | ||
| Healthy life expectancy at birth - female (2019) | 69.3 [48/183 countries] | ||
| Degree of healthiness (5 steps) (2018) | 372.4% [1/31 countries] | ||
| Degree of healthiness (5 steps) (2017) | 3.57 [5/30 countries] | ||
| Degree of healthiness (5 steps) (2012) | 365.1% [1/41 countries] |
| Hungary | |||
| Tuberculosis incidence (per 100,000 population) (2020) | 5 [168/194 countries] | ||
| Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years (%) (2020) | 0.90 [50/194 countries] | ||
| Reported number of people requiring interventions against NTDs (2020) | 1 [164/194 countries] | ||
| Probability of dying from any of CVD, cancer, diabetes, CRD between age 30-70 (%) (2019) | 22.1 [68/183 countries] | ||
| % of those who think that antibiotics can kill bacteria but not viruses (1993) | 79.8% [6/20 countries] | ||
| % of those who think that all man-made chemicals can cause cancer if they eat enough of them (1993) | 63.5% [11/20 countries] |
| Hungary | |||
| Agriculture, forestry and fishing, value added per worker (constant 2015 US$) (2019) | 23,944 [36/165 countries] | ||
| Agriculture, forestry, and fishing, value added (million US$) | 6,056 (2021) [61/185 countries] | ||
| Agriculture, forestry, and fishing, value added (% of GDP) | 3.3% (2021) [123/185 countries] | ||
| Employment in agriculture (% of total employment) (2019) | 4.7% [140/187 countries] | ||
| Employment in agriculture (% of total employment) (2019) | 4.7% [140/187 countries] |
| Hungary | |||
| Stimulants, food supply quantity (kg/capita/year) (2019) | 1.19 [117/179 countries] | ||
| Coffee and products, food supply quantity (kg/capita/year) (2019) | 1.05 [89/179 countries] | ||
| Tea (including mate), food supply quantity (kg/capita/year) (2019) | 0.14 [118/178 countries] | ||
| Alcoholic Beverages, food supply quantity (kg/capita/year) (2019) | 104.04 [14/178 countries] | ||
| Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol) (2019) | 11.1 [23/185 countries] | ||
| Wine, food supply quantity (kg/capita/year) (2019) | 23.02 [10/177 countries] | ||
| Beer, food supply quantity (kg/capita/year) (2019) | 70.07 [23/177 countries] | ||
| Fermented beverages, food supply quantity (kg/capita/year) (2019) | 3.96 [31/175 countries] |
| Hungary | |||
| % of those who refuse to eat meat for moral or environmental reasons at least sometimes (1993) | 16.4% [18/20 countries] |
| Hungary | |||
| Travel & Tourism Competitiveness (ranking by World Economic Forum) (2019) | 48 [48/140 countries] | ||
| Number of foreign visitors to Japan (2019) | 13,060 [50/196 countries] | ||
| Number of foreign visitors to Japan (per 10,000 population) (2019) | 13.4 [57/188 countries] | ||
| International tourism, receipts (% of total exports) (2019) | 7.6% [83/136 countries] | ||
| International tourism, number of arrivals (ten thousands) (2019) | 6,139.7 [8/179 countries] | ||
| International tourism, expenditures (% of total imports) (2019) | 2.6% [132/149 countries] | ||
| International tourism, number of departures (ten thousands) (2019) | 2,486.0 [16/96 countries] | ||
| % of those who never stayed away from home in the last year (2007) | 3.9% [33/34 countries] | ||
| % of those who stayed away from home for more than 10 days (2007) | 28.6% [19/34 countries] |
| Hungary | |||
| Time spent for TV or radio at home (men and women, minutes per day per person) | 133.9 (2010) [5/33 countries] | ||
| Time spent for TV or radio at home (men, minutes per day per person) | 144.3 (2010) [6/33 countries] | ||
| Time spent for TV or radio at home (women, minutes per day per person) | 122.7 (2010) [5/33 countries] |
| Hungary | |||
| % of those who listen to music in their free time daily (2007) | 46.1% [24/34 countries] | ||
| Musical instruments, output (100 million yen) (2005) | 7.0 [23/41 countries] | ||
| Musical instruments, output as % of total manufacturing (2005) | 0.007% [25/41 countries] |
| Hungary | |||
| Number of cinemas (2005) | 243 [19/62 countries] | ||
| Film production, 2005-2009 average (2005-2009) | 31.4 [34/109 countries] | ||
| Average ticket price (US$) | 5.32 (2009) [40/73 countries] | ||
| % of those who go to the movies in their free time several times a month or more (2007) | 8.2% [23/34 countries] | ||
| % of those who agree that increased exposure to foreign films, music, and books is damaging our national and local cultures (2003) | 53.5% [9/33 countries] |
| Hungary | |||
| % of those who feel close to their town or city (2013) | 84.9% [12/33 countries] | ||
| % of those who feel close to their town or city (2003) | 87.5% [9/34 countries] | ||
| % of those who feel close to their town or city (1995) | 83.8% [8/23 countries] | ||
| % of those who feel close to their county (2013) | 84.2% [8/33 countries] | ||
| % of those who feel close to their county (2003) | 86.2% [5/34 countries] | ||
| % of those who feel close to their county (1995) | 85.7% [5/23 countries] | ||
| % of those who feel close to their country (2013) | 91.5% [11/33 countries] | ||
| % of those who feel close to their country (2003) | 97.2% [1/34 countries] | ||
| % of those who feel close to their country (1995) | 96.4% [1/23 countries] | ||
| % of those who feel close to [Continent] (2013) | 84.2% [1/33 countries] | ||
| % of those who feel close to [Continent] (2003) | 93.9% [1/34 countries] |