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Question: Ticket machine at train station - I try to find a ticket office at the station to buy a ticket
Choices: "definitely do this" "probably do this" "probably no do this" "definitely not do this"
Data: % of "definitely do this"
Period:
Area:
64 countries/ areas
Highlight:
1 Kazakhstan50.2%
2 Jordan47.2%
3 Montenegro47.0%
4 Serbia45.4%
5 Russian Federation42.5%
6 Albania42.2%
7 Chile40.9%
8 Croatia40.8%
8 Singapore40.8%
10 Romania40.6%
11 France40.1%
12 Czech Republic40.0%
13 Mexico39.7%
14 Bulgaria39.3%
15 Lithuania38.9%
15 Slovenia38.9%
17 United Arab Emirates38.8%
18 Slovakia38.1%
19 Turkiye37.9%
20 Malaysia36.7%
21 Indonesia36.3%
22 Belgium36.0%
23 Taiwan35.7%
24 Argentina35.6%
25 Italy35.5%
26 Costa Rica35.4%
27 Greece35.3%
28 Qatar34.6%
29 Latvia34.3%
30 Brazil33.5%
31 Colombia33.3%
32 Spain33.1%
32 Thailand33.1%
34 Israel32.8%
35 United Kingdom32.2%
36 Ireland31.8%
37 Hungary31.7%
38 Finland31.0%
39 United States30.3%
40 Tunisia29.9%
41 Iceland29.7%
42 Hong Kong, China28.8%
43 Portugal28.7%
44 Australia28.1%
45 Sweden27.9%
46 New Zealand26.9%
47 Uruguay26.4%
48 Canada26.3%
48 Poland26.3%
50 Estonia26.2%
51 Austria26.0%
51 Peru26.0%
53 Macao, China25.5%
54 Denmark24.8%
55 Luxembourg24.6%
56 Norway23.9%
57 Switzerland23.7%
58 Republic of Korea23.5%
59 Japan 23.2%
60 China22.2%
61 Liechtenstein21.5%
62 Germany20.8%
63 Netherlands18.6%
64 Viet Nam15.7%

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 = -3.249328 X +7.456
Correlation coefficient (r)-0.343
Coefficient of determination (R2)0.118

GDP per capita (current US$)
No. of data63
Regression equation
Y = -146603.074114 X +83518.807
Correlation coefficient (r)-0.380
Coefficient of determination (R2)0.144

Life expectancy at birth - Both sexes (years)
No. of data63
Regression equation
Y = -29.904291 X +88.045
Correlation coefficient (r)-0.490
Coefficient of determination (R2)0.240

Fertility rate, total (births per woman)
No. of data63
Regression equation
Y = 1.869533 X +1.025
Correlation coefficient (r)0.337
Coefficient of determination (R2)0.114

Suicide, age-standardized (per 100 000 population)
No. of data60
Regression equation
Y = -0.521336 X +9.471
Correlation coefficient (r)-0.008
Coefficient of determination (R2)0.000