 Germany | |||
| % of those who have confidence in parliament (2018) | 73.4% [10/47 countries] | ||
| % of those who have confidence in parliament (2008) | 64.6% [10/44 countries] | ||
| % of those who have confidence in parliament (1998) | 45.2% [21/30 countries] | ||
| % of those who think that MPs try to keep the promises they have made during the election (2016) | 23.8% [15/35 countries] | ||
| % of those who think that MPs try to keep the promises they have made during the election (2006) | 22.5% [14/33 countries] | ||
| % of those who think that MPs try to keep the promises they have made during the election (1996) | 19.4% [14/24 countries] | ||
| % of those who think that the parliament considers your action if you take action against an unjust or harmful law (2014) | 18.1% [18/34 countries] | ||
| % of those who think that the parliament considers your action if you take action against an unjust or harmful law (2004) | 9.5% [33/37 countries] |
| Germany | |||
| Prevalence of stunting in children under 5 (%) (2020) | 1.6% [151/154 countries] | ||
| Prevalence of overweight in children under 5 (%) (2020) | 4.1% [110/154 countries] | ||
| Proportion of ever-partnered women and girls aged 15?49 years subjected to physical and/or sexual violence by a current or former intimate partner in their lifetime (%) (2018) | 21% [96/151 countries] |
| Germany | |||
| Share prices (10 years ago as 100) (2021) | 241 [25/42 countries] | ||
| % of currency and deposits in household financial assets | 40.0% (2020) [13/38 countries] |
| Germany | |||
| Manufacturing, value added (% of GDP) | 18.9% (2021) [31/193 countries] | ||
| % of employment of small and medium sized companies (1-249 employees) in manufacturing | 37.6% (2019) [35/37 countries] |
| Germany | |||
| New business density (new registrations per 1,000 people ages 15-64) (2020) | 1.36 [83/121 countries] | ||
| Cost of business start-up procedures (% of GNI per capita) (2019) | 6.5% [104/190 countries] |
| Germany | |||
| Share of self-employed who are own-account workers, men, % of total employed | 4.6% (2020) [31/31 countries] | ||
| Share of self-employed who are own-account workers, women, % of total employed | 3.7% (2020) [27/31 countries] | ||
| % of those who think that employees have more job security than the self-employed (2005) | 64.0% [8/31 countries] | ||
| % of those who think that being an employee interferes more with family life than self-employment (2005) | 17.2% [25/31 countries] | ||
| % of those who prefer being an employee to being self-employed (2005) | 56.3% [12/31 countries] | ||
| % of those who prefer being an employee to being self-employed (1997) | 38.2% [16/25 countries] |
| Germany | |||
| Part-time employment - male | 10.0% (2021) [16/37 countries] | ||
| Part-time employment - female | 36.0% (2021) [5/37 countries] | ||
| Temporary employment - male as % of dependent employment | 11.6% (2021) [14/36 countries] | ||
| Temporary employment - female as % of dependent employment | 11.2% (2021) [19/36 countries] | ||
| Temporary employment - 15-24 years as % of dependent employment | 45.0% (2021) [13/36 countries] | ||
| % of those willing to accept temporary employment to avoid unemployment (2015) | 66.1% [14/37 countries] | ||
| % of those willing to accept temporary employment to avoid unemployment (2005) | 72.2% [6/31 countries] |
| Germany | |||
| % of those who do any work for additional income in addition to their main job (2015) | 13.9% [27/37 countries] | ||
| % of those who do any work for additional income in addition to their main job (2005) | 12.4% [19/31 countries] |
| Germany | |||
| Public expenditure for active labor policy, % of GDP | 0.60% (2019) [9/32 countries] |
| Germany | |||
| % of those who always/ often have to do hard physical work (2015) | 24.6% [28/37 countries] | ||
| % of those who always/ often have to do hard physical work (2005) | 24.1% [16/31 countries] | ||
| % of those who always/ often have to do hard physical work (1997) | 20.7% [19/25 countries] | ||
| % of those who always/ often work in dangerous conditions (2005) | 11.1% [22/31 countries] | ||
| % of those who always/ often work in dangerous conditions (1997) | 11.6% [16/25 countries] |
| Germany | |||
| % of those who take part in voluntary work once a month or more (2011-2017) | 22.6% [7/31 countries] | ||
| % of those who never take part in voluntary work (2011-2017) | 65.2% [21/31 countries] | ||
| % of those who take part in activities of charitable or religious organisations that do voluntary work once a month or more (2017) | 9.4% [19/30 countries] | ||
| % of those who never take part in activities of charitable or religious organisations that do voluntary work (2017) | 70.8% [11/30 countries] | ||
| Time spent for volunteering (men and women, minutes per day per person) | 6.0 (2012/13) [3/31 countries] | ||
| Time spent for volunteering (men, minutes per day per person) | 6.9 (2012/13) [2/31 countries] | ||
| Time spent for volunteering (women, minutes per day per person) | 5.2 (2012/13) [6/31 countries] |
| Germany | |||
| Pre-school enrolment rates, children aged 0 to 2 year old | 37.2% (2017) [18/44 countries] | ||
| Pre-school enrolment rates, children aged 3 to 5 year old | 94.6% (2017) [10/46 countries] |
| Germany | |||
| Average class size in primary education (public and private) | 21.0 (2018) [15/33 countries] | ||
| Average class size in primary education (public) (2018) | 21.0 [18/36 countries] | ||
| Average class size in primary education (private) | 21.5 (2018) [9/33 countries] | ||
| Ratio of students to teaching staff in primary schools (public and private) (2018) | 15.3 [17/40 countries] | ||
| Ratio of students to teaching staff in primary schools (public) (2018) | 15.5 [16/40 countries] | ||
| Ratio of students to teaching staff in primary schools (private) (2018) | 12.4 [24/38 countries] | ||
| Annual number of hours of compulsory instruction in primary education (2019) | 724 [23/36 countries] |
| Germany | |||
| % of Grade 4 students who have their own room (2019) | 82.8% [6/57 countries] | ||
| % of Grade 4 students who have internet connection at home (2019) | 88.3% [33/57 countries] | ||
| % of Grade 4 students who have internet connection at home (2007) | 77.9% [29/37 countries] | ||
| % of Grade 4 students who have their own mobile phone (2019) | 70.6% [21/57 countries] |
| Germany | |||
| Average class size in lower secondary education (public and private) | 23.9 (2018) [14/34 countries] | ||
| Average class size in lower secondary education (public) | 23.9 (2018) [15/35 countries] | ||
| Average class size in lower secondary education (private) | 23.9 (2018) [9/34 countries] | ||
| Ratio of students to teaching staff in lower secondary education (public and private) (2018) | 13.0 [13/36 countries] | ||
| Ratio of students to teaching staff in lower secondary education (public) (2018) | 13.1 [14/36 countries] |
| Germany | |||
| Performance on the reading (15 years old, average score) (2018) | 498.28 [20/76 countries] | ||
| Performance on the reading (15 years old, average score) (2015) | 509 [10/72 countries] | ||
| Performance on the reading (15 years old, average score) (2000) | 484 [22/41 countries] | ||
| Performance on the mathematics (15 years old, average score) (2018) | 500.04 [20/77 countries] | ||
| Performance on the mathematics (15 years old, average score) (2015) | 506 [16/72 countries] | ||
| Performance on the mathematics (15 years old, average score) (2000) | 490 [21/41 countries] | ||
| Performance on the science (15 years old, average score) (2018) | 502.99 [16/77 countries] | ||
| Performance on the science (15 years old, average score) (2015) | 509 [15/72 countries] | ||
| Performance on the science (15 years old, average score) (2000) | 487 [21/41 countries] | ||
| % of 15 year old students who have ever repeated a grade (2009) | 21.4% [20/65 countries] |
| Germany | |||
| % of 15-year-old students who have a computer they can use for school work in their home (2018) | 89.8% [32/79 countries] | ||
| % of 15-year-old students who have classic literature in their home (2018) | 39.2% [59/79 countries] | ||
| % of 15-year-old students who have books of poetry in their home (2018) | 49.6% [30/79 countries] | ||
| % of 15-year-old students who have works of art (e.g. paintings) in their home (2018) | 69.8% [17/79 countries] | ||
| % of 15-year-old students who have musical instruments (e.g. guitar, piano) in their home (2018) | 32.2% [58/79 countries] |
| Germany | |||
| % of 15-year olds who read emails several times a day (2018) | 8.7% [45/77 countries] | ||
| % of 15-year olds who chat on line several times a day (2018) | 86.4% [3/77 countries] | ||
| % of 15-year olds who read online news several times a day (2018) | 36.8% [12/77 countries] | ||
| % of 15-year olds who search information online to learn about a particular topic several times a day (2018) | 25.1% [50/77 countries] | ||
| % of 15-year olds who take part in online group discussions or forums several times a day (2018) | 4.7% [71/77 countries] | ||
| % of 15-year olds who search for practical information online several times a day (2018) | 15.6% [69/77 countries] |
| Germany | |||
| % of 15-year-olds who think that their life has clear meaning or purpose (2018) | 63.6% [54/74 countries] | ||
| % of 15-year-olds who have discovered a satisfactory meaning in life (2018) | 60.3% [43/74 countries] | ||
| % of 15-year-olds who have a clear sense of what gives meaning to their life (2018) | 63.9% [49/74 countries] |
| Germany | |||
| % of 15-year-olds who always feel happy (2018) | 36.8% [56/73 countries] | ||
| % of 15-year-olds who always feel scared (2018) | 2.7% [55/73 countries] | ||
| % of 15-year-olds who always feel lively (2018) | 34.7% [41/73 countries] | ||
| % of 15-year-olds who always feel miserable (2018) | 4.0% [53/73 countries] | ||
| % of 15-year-olds who always feel proud (2018) | 15.0% [56/73 countries] | ||
| % of 15-year-olds who always feel afraid (2018) | 9.2% [32/73 countries] | ||
| % of 15-year-olds who always feel joyful (2018) | 38.8% [47/73 countries] | ||
| % of 15-year-olds who always feel sad (2018) | 3.6% [65/73 countries] | ||
| % of 15-year-olds who always feel cheerful (2018) | 44.4% [32/73 countries] |
| Germany | |||
| % of 15-year olds who usually manage one way or another (2018) | 77.0% [55/78 countries] | ||
| % of 15-year olds who feel proud that they have accomplished things (2018) | 75.0% [59/78 countries] | ||
| % of 15-year olds who feel that they can handle many things at a time (2018) | 62.8% [52/78 countries] | ||
| % of 15-year olds who can usually find their way out in a difficult situation (2018) | 77.0% [49/78 countries] |
| Germany | |||
| % of 15-year olds who feel like an outsider (or left out of things) (2018) | 14.6% [61/76 countries] | ||
| % of 15-year olds who make friends easily at school (2018) | 65.7% [64/76 countries] | ||
| % of 15-year olds who feel like they belong at school. (2018) | 68.2% [33/76 countries] | ||
| % of 15-year olds who feel awkward and out of place in their school. (2018) | 14.2% [71/76 countries] | ||
| % of 15-year olds who think that other students seem to like them (2018) | 77.7% [19/76 countries] | ||
| % of 15-year olds who feel lonely at school (2018) | 10.7% [68/76 countries] |
| Germany | |||
| Average hours per week to spend learning foreign language out of school (2015) | 2.81 [52/56 countries] | ||
| Dispersion (S.E.) of hours per week to spend learning foreign language out of school (2015) | 0.061 [53/56 countries] |
| Germany | |||
| Number of Nobel prize lauriates (by place of birth) (2020) | 109 [3/78 countries] | ||
| Gross Domestic Expenditure on R&D (GERD) at current PPP million $ | 147,502 (2019) [4/44 countries] | ||
| Gross Domestic Expenditure on R&D (GERD) as % of GDP | 3.18% (2019) [7/44 countries] | ||
| % of GERD financed by the business and enterprise sector | 66.0% (2018) [6/43 countries] | ||
| % of GERD financed by government | 27.8% (2018) [29/43 countries] | ||
| Total researchers per thousand total employment | 9.93 (2019) [17/41 countries] | ||
| % women among researchers | 27.9% (2017) [32/37 countries] |
| Germany | |||
| E-Government Development Index (2020) | 0.8524 [25/193 countries] | ||
| E-Participation Index (as a component of E-Government Development Index) (2020) | 0.7500 [57/193 countries] | ||
| Online Service Index (as a component of E-Government Development Index) (2020) | 0.7353 [59/193 countries] | ||
| Human Capital Component (as a component of E-Government Development Index) (2020) | 0.9362 [10/193 countries] | ||
| Telecomm Infrustrcture Index (as a component of E-Government Development Index) (2020) | 0.8856 [20/193 countries] |
| Germany | |||
| Bird species, threatened (2018) | 11 [138/215 countries] | ||
| Fish species, threatened (2018) | 24 [121/215 countries] | ||
| Mammal species, threatened (2018) | 5 [142/215 countries] | ||
| Plant species (higher), threatened (2018) | 36 [83/215 countries] | ||
| Terrestrial protected areas (% of total land area) (2018) | 37.8% [17/211 countries] | ||
| Marine protected areas (% of territorial waters) (2018) | 45.4% [6/169 countries] | ||
| % of those who think that gene modification is very dangerous for the environment (2010) | 64.3% [11/36 countries] | ||
| % of those who think that gene modification is very dangerous for the environment (2000) | 55.1% [8/24 countries] | ||
| % of those who think that genetically modified foods are the most important environmental problem for their country (2010) | 6.7% [10/36 countries] | ||
| % of those who think that genetically modified foods are the most important environmental problem for them and their family (2010) | 13.3% [5/36 countries] |
| Germany | |||
| Coal supply per capita (kg) (2018) | 610 [20/73 countries] | ||
| Crude oil supply per capita (kg) (2018) | 1,056 [28/90 countries] | ||
| Natural gas supply per capita (million J) (2018) | 41,163 [32/88 countries] | ||
| Electric power supply per capita (kWh) (2018) | 7,151 [25/95 countries] | ||
| Renewable energy, % of primary energy supply (2020) | 16.4% [23/43 countries] | ||
| Electricity production from oil, gas and coal sources, % of total (2018) | 59.9% [56/97 countries] | ||
| Electricity production from hydroelectric sources, % of total (2018) | 3.8% [68/86 countries] |
| Germany | |||
| Municipal waste (kg per capita) | 627 (2020) [10/37 countries] | ||
| Municipal waste, % of recycling | 47.8% (2020) [3/35 countries] | ||
| % of those who think that domestic waste disposal is the most important environmental problem for their country (2010) | 2.6% [35/36 countries] | ||
| % of those who think that domestic waste disposal is the most important environmental problem for them and their family (2010) | 5.1% [35/36 countries] | ||
| % of those who always sort things for recycling (2010) | 80.1% [3/36 countries] | ||
| % of those who always sort things for recycling (2000) | 74.2% [2/25 countries] |
| Germany | |||
| % of those who think that policies depend more on what is happening in the world economy (2016) | 64.3% [1/35 countries] |
| Germany | |||
| Outward direct investment - stock (% of GDP) (2020) | 51.6% [15/46 countries] | ||
| Inward direct investment - stock (% of GDP) (2020) | 30.6% [38/46 countries] |
| Germany | |||
| Height - Men (cm) (2001-2007) | 179.6 [6/26 countries] | ||
| Height - Women (cm) (2001-2007) | 166.9 [3/26 countries] | ||
| Prevalence of obesity among children and adolescents (5?19 years) (%) (2016) | 8.9% [90/190 countries] | ||
| Age-standardized prevalence of obesity among adults (18+ years) (%) (2016) | 22.3% [78/190 countries] |
| Germany | |||
| Number of Aesthetic/ Cosmetic Procedures (2011) | 415,448 [10/25 countries] | ||
| Number of Aesthetic/ Cosmetic Procedures per 10,000 population (2011) | 50.8 [14/25 countries] |
| Germany | |||
| % of those who do moderate physical activity every day (2011) | 20.1% [6/32 countries] |
| Germany | |||
| Prevalence of anaemia in women of reproductive age (15?49 years) (%) (2019) | 11.7% [180/192 countries] | ||
| Age-standardized prevalence of hypertension among adults aged 30-79 years (%) (2019) | 29.7% [166/192 countries] | ||
| Blood type A (% of total) (??) | 43% [4/24 countries] | ||
| Blood type AB (% of total) (??) | 5% [11/24 countries] | ||
| Blood type B (% of total) (??) | 11% [12/24 countries] | ||
| Blood type O (% of total) (??) | 41% [13/24 countries] |
| Germany | |||
| Time spent for sleeping (men and women, minutes per day per person) | 498.4 (2012/13) [26/33 countries] | ||
| Time spent for sleeping (men, minutes per day per person) | 493.9 (2012/13) [27/33 countries] | ||
| Time spent for sleeping (women, minutes per day per person) | 502.9 (2012/13) [24/33 countries] |
| Germany | |||
| Time spent for eating and drinking (men and women, minutes per day per person) | 95.0 (2012/13) [14/33 countries] | ||
| Time spent for eating and drinking (men, minutes per day per person) | 93.4 (2012/13) [14/33 countries] | ||
| Time spent for eating and drinking (women, minutes per day per person) | 96.5 (2012/13) [13/33 countries] |
| Germany | |||
| Current tobacco smokers, men and women (% of population) | 23.4% (2018) [35/121 countries] | ||
| Current tobacco smokers, men (% of population) (2001-2020) | 26.4% [77/150 countries] | ||
| Current tobacco smokers, women (% of population) (2001-2020) | 20.2% [22/150 countries] | ||
| % of those who smoke more than 10 cigarettes per day (2011) | 16.6% [4/32 countries] | ||
| % of those who think that non-smokers should be medically prioritized over heavy smokers (2011) | 27.0% [28/32 countries] |
| Germany | |||
| % of those who use cannabis | 7.09% (2018) [30/122 countries] | ||
| % of those who use cocaine | 1.12% (2018) [25/98 countries] | ||
| % of those who use amphetamines | 1.20% (2018) [12/99 countries] | ||
| % of those who use ecstasy | 1.08% (2018) [13/93 countries] |
| Germany | |||
| New HIV infectionsf (per 1000 uninfected population) (2020) | 0.03 [107/130 countries] | ||
| Tuberculosis incidence (per 100,000 population) (2020) | 6 [162/194 countries] | ||
| Hepatitis B surface antigen (HBsAg) prevalence among children under 5 years (%) (2020) | 0.21 [103/194 countries] | ||
| Reported number of people requiring interventions against NTDs (2020) | 116 [127/194 countries] | ||
| Probability of dying from any of CVD, cancer, diabetes, CRD between age 30-70 (%) (2019) | 12.1 [146/183 countries] | ||
| % of those who think that antibiotics can kill bacteria but not viruses (2000) | 78.4% [20/25 countries] | ||
| % of those who think that antibiotics can kill bacteria but not viruses (1993) | 70.6% [17/20 countries] | ||
| % of those who think that all man-made chemicals can cause cancer if they eat enough of them (2000) | 74.4% [9/25 countries] | ||
| % of those who think that all man-made chemicals can cause cancer if they eat enough of them (1993) | 72.7% [6/20 countries] |
| Germany | |||
| Food self-sufficiency ratio (calorie-based) (2019) | 84% [5/15 countries] | ||
| Agriculture, forestry and fishing, value added per worker (constant 2015 US$) (2019) | 43,715 [19/165 countries] | ||
| Agriculture, forestry, and fishing, value added (million US$) | 33,797 (2021) [22/185 countries] | ||
| Agriculture, forestry, and fishing, value added (% of GDP) | 0.8% (2021) [167/185 countries] | ||
| Employment in agriculture (% of total employment) (2019) | 1.2% [174/187 countries] | ||
| Employment in agriculture (% of total employment) (2019) | 1.2% [174/187 countries] |
| Germany | |||
| Stimulants, food supply quantity (kg/capita/year) (2019) | 6.46 [16/179 countries] | ||
| Coffee and products, food supply quantity (kg/capita/year) (2019) | 6.08 [13/179 countries] | ||
| Tea (including mate), food supply quantity (kg/capita/year) (2019) | 0.37 [81/178 countries] | ||
| Alcoholic Beverages, food supply quantity (kg/capita/year) (2019) | 113.27 [8/178 countries] | ||
| Total alcohol per capita (??15 years of age) consumptionl (litres of pure alcohol) (2019) | 12.8 [4/185 countries] | ||
| % of those who often drink 4 or more alcoholic drinks on the same day (2011) | 4.8% [18/32 countries] | ||
| Wine, food supply quantity (kg/capita/year) (2019) | 19.72 [17/177 countries] | ||
| Beer, food supply quantity (kg/capita/year) (2019) | 85.95 [10/177 countries] | ||
| Fermented beverages, food supply quantity (kg/capita/year) (2019) | 0.02 [121/175 countries] |
| Germany | |||
| % of those who eat fresh fruit or vegetables every day (2011) | 52.6% [18/32 countries] | ||
| % of those who refuse to eat meat for moral or environmental reasons at least sometimes (1993) | 46.9% [2/20 countries] | ||
| % of those who often try to buy fruits and vegetables grown without pesticides or chemicals (2010) | 59.5% [1/36 countries] | ||
| % of those who often try to buy fruits and vegetables grown without pesticides or chemicals (1993) | 45.8% [1/20 countries] |
| Germany | |||
| Travel & Tourism Competitiveness (ranking by World Economic Forum) (2019) | 3 [3/140 countries] | ||
| Number of foreign visitors to Japan (2019) | 234,127 [16/196 countries] | ||
| Number of foreign visitors to Japan (per 10,000 population) (2019) | 28.2 [40/188 countries] | ||
| International tourism, receipts (% of total exports) (2019) | 3.2% [120/136 countries] | ||
| International tourism, number of arrivals (ten thousands) (2019) | 3,956.3 [14/179 countries] | ||
| International tourism, expenditures (% of total imports) (2019) | 6.3% [75/149 countries] | ||
| International tourism, number of departures (ten thousands) (2019) | 9,953.3 [3/96 countries] | ||
| % of those who never stayed away from home in the last year (2007) | 31.5% [16/34 countries] | ||
| % of those who stayed away from home for more than 10 days (2007) | 44.5% [12/34 countries] |
| Germany | |||
| Number of world heritage properties (2011) | 33 [5/151 countries] | ||
| % of those who attend cultural events such as concerts, live, theatre and exhibitions in their free time several times a month or more (2007) | 16.0% [10/34 countries] | ||
| % of those who would like to see more government spending in culture and the arts (2016) | 29.0% [19/35 countries] | ||
| % of those who would like to see more government spending in culture and the arts (2006) | 17.8% [24/33 countries] | ||
| % of those who would like to see more government spending in culture and the arts (1996) | 18.2% [18/24 countries] | ||
| % of those who participate in the activities of a cultural association/ group at least once a month (2007) | 7.5% [15/34 countries] | ||
| % of those who think they have few artistic interests (2005) | 30.6% [12/19 countries] |
| Germany | |||
| Time spent for TV or radio at home (men and women, minutes per day per person) | 118.5 (2012/13) [19/33 countries] | ||
| Time spent for TV or radio at home (men, minutes per day per person) | 125.8 (2012/13) [21/33 countries] | ||
| Time spent for TV or radio at home (women, minutes per day per person) | 111.0 (2012/13) [15/33 countries] |
| Germany | |||
| % of those who listen to music in their free time daily (2007) | 64.1% [5/34 countries] | ||
| Musical instruments, output (100 million yen) (2005) | 714.1 [5/41 countries] | ||
| Musical instruments, output as % of total manufacturing (2005) | 0.036% [9/41 countries] |
| Germany | |||
| Number of cinemas (2005) | 1,854 [6/62 countries] | ||
| Film production, 2005-2009 average (2005-2009) | 179.0 [8/109 countries] | ||
| Average ticket price (US$) | 10.43 (2009) [11/73 countries] | ||
| % of those who go to the movies in their free time several times a month or more (2007) | 6.8% [28/34 countries] | ||
| % of those who agree that increased exposure to foreign films, music, and books is damaging our national and local cultures (2003) | 28.5% [22/33 countries] |
| Germany | |||
| % of those who feel close to their town or city (2013) | 81.8% [16/33 countries] | ||
| % of those who feel close to their town or city (2003) | 82.0% [16/34 countries] | ||
| % of those who feel close to their town or city (1995) | 72.3% [17/23 countries] | ||
| % of those who feel close to their county (2013) | 79.0% [14/33 countries] | ||
| % of those who feel close to their county (2003) | 74.3% [21/34 countries] | ||
| % of those who feel close to their county (1995) | 68.0% [17/23 countries] | ||
| % of those who feel close to their country (2013) | 87.3% [17/33 countries] | ||
| % of those who feel close to their country (2003) | 82.3% [29/34 countries] | ||
| % of those who feel close to their country (1995) | 79.8% [20/23 countries] | ||
| % of those who feel close to [Continent] (2013) | 65.6% [6/33 countries] | ||
| % of those who feel close to [Continent] (2003) | 59.9% [16/34 countries] | ||
| % of those who feel close to [Continent] (1995) | 58.6% [12/23 countries] | ||
| % of those who feel very close to their ethnic group (1995) | 34.6% [11/13 countries] |
| Germany | |||
| % of those who think they are reserved (2005) | 50.4% [10/19 countries] | ||
| % of those who think they are trusting (2005) | 61.6% [14/19 countries] | ||
| % of those who think they do a thorough job (2005) | 94.8% [8/19 countries] | ||
| % of those who think they are relaxed (2005) | 55.9% [12/19 countries] | ||
| % of those who think they have an active imagination (2005) | 72.0% [7/19 countries] | ||
| % of those who think they are outgoing (2005) | 67.6% [15/19 countries] | ||
| % of those who think they tend to find fault with others (2005) | 29.4% [4/19 countries] | ||
| % of those who think they are lazy (2005) | 13.7% [9/19 countries] | ||
| % of those who think they are nervous (2005) | 19.1% [17/19 countries] |