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Question: Ticket machine at train station - I check how similar it is to other ticket machines I have used
Choices: "definitely do this" "probably do this" "probably no do this" "definitely not do this"
Data: % of "definitely do this"
Respondents: 15 years old
Period:
Area:
64 countries/ areas
Highlight:
1 China51.9%
2 France49.1%
2 Switzerland49.1%
4 Jordan48.8%
5 Germany47.9%
6 United Arab Emirates46.7%
7 Tunisia46.0%
8 Portugal45.1%
9 Austria44.5%
10 Qatar42.7%
11 Brazil41.9%
12 Liechtenstein41.4%
13 Finland40.7%
14 Turkiye40.1%
15 Costa Rica38.7%
16 Kazakhstan 37.9%
17 Norway36.7%
17 Serbia36.7%
19 Romania36.6%
20 Luxembourg36.3%
21 Montenegro36.0%
22 Belgium35.8%
23 Canada35.1%
24 Taiwan35.0%
25 Bulgaria34.0%
25 Croatia34.0%
27 Singapore33.9%
28 Argentina33.1%
29 Iceland33.0%
30 Israel32.7%
31 Hong Kong, China32.5%
32 Spain32.3%
33 Denmark32.0%
34 Mexico31.0%
35 Ireland30.8%
36 United States30.4%
37 Czech Republic30.1%
37 Greece30.1%
39 Slovenia29.6%
40 Lithuania29.5%
41 Albania29.3%
42 Chile29.2%
43 Peru29.1%
44 Italy29.0%
44 Japan29.0%
46 Russian Federation28.6%
47 Malaysia28.2%
48 Australia27.9%
49 Macao, China27.8%
50 Slovakia27.7%
51 United Kingdom27.3%
52 Poland26.3%
53 Thailand25.9%
54 Netherlands25.6%
55 Uruguay25.4%
56 Colombia24.8%
57 Indonesia24.4%
58 New Zealand23.9%
59 Latvia23.8%
60 Estonia22.9%
61 Hungary21.9%
62 Sweden21.5%
63 Viet Nam19.5%
64 Republic of Korea18.1%

Note
China: Shanghai only.

No data for 174 countries.

Source
OECD PISA 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data61
Regression equation
Y = -0.214581 X +6.421
Correlation coefficient (r)-0.022
Coefficient of determination (R2)0.000

GDP per capita (current US$)
No. of data63
Regression equation
Y = 44258.738717 X +19865.226
Correlation coefficient (r)0.126
Coefficient of determination (R2)0.016

Life expectancy at birth - Both sexes (years)
No. of data63
Regression equation
Y = 2.195011 X +78.395
Correlation coefficient (r)0.051
Coefficient of determination (R2)0.003

Fertility rate, total (births per woman)
No. of data63
Regression equation
Y = 0.652930 X +1.439
Correlation coefficient (r)0.132
Coefficient of determination (R2)0.017

Suicide - all ages (per 100,000 population)
No. of data60
Regression equation
Y = -16.693268 X +16.990
Correlation coefficient (r)-0.227
Coefficient of determination (R2)0.052