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Question: Planning a trip to the Zoo - I know roughly where it is, so I suggest we just start driving
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 Jordan45.4%
2 Tunisia41.8%
3 United Arab Emirates40.5%
4 Kazakhstan38.1%
5 Uruguay34.6%
6 Bulgaria33.8%
7 France33.5%
8 Russian Federation32.9%
9 Costa Rica32.8%
10 Czech Republic31.7%
11 Croatia31.6%
11 Qatar31.6%
11 Romania31.6%
14 Montenegro31.3%
15 Albania30.7%
15 Serbia30.7%
17 Iceland29.4%
18 Lithuania28.8%
19 Belgium28.5%
20 Turkiye28.3%
21 Slovakia27.1%
22 Switzerland26.7%
23 Mexico25.9%
24 Liechtenstein25.7%
25 Brazil25.6%
25 Latvia25.6%
27 Austria25.5%
28 Japan25.1%
29 Chile24.6%
30 Argentina24.5%
31 Greece24.3%
32 Poland24.2%
33 Colombia23.2%
34 Indonesia22.8%
35 Spain22.5%
36 Germany22.1%
37 Luxembourg21.7%
38 Slovenia21.5%
39 Sweden21.3%
40 Norway21.0%
41 Portugal20.9%
42 Israel20.7%
43 Macao, China20.0%
44 Malaysia19.7%
45 Ireland19.5%
46 Italy18.3%
46 Netherlands18.3%
48 Denmark18.2%
49 Finland17.9%
49 Hungary17.9%
51 New Zealand17.8%
52 Viet Nam17.1%
53 Estonia16.8%
54 Canada16.6%
55 Republic of Korea15.4%
56 United States15.1%
57 Taiwan14.9%
58 Thailand14.3%
59 Singapore13.2%
60 United Kingdom12.6%
61 Australia12.5%
62 China 10.9%
63 Peru10.0%
64 Hong Kong, China9.4%

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 = -2.679154 X +7.025
Correlation coefficient (r)-0.304
Coefficient of determination (R2)0.092

GDP per capita (current US$)
No. of data63
Regression equation
Y = -97571.521124 X +60766.024
Correlation coefficient (r)-0.272
Coefficient of determination (R2)0.074

Life expectancy at birth - Both sexes (years)
No. of data63
Regression equation
Y = -17.482853 X +83.291
Correlation coefficient (r)-0.368
Coefficient of determination (R2)0.135

Fertility rate, total (births per woman)
No. of data63
Regression equation
Y = 2.132863 X +1.071
Correlation coefficient (r)0.416
Coefficient of determination (R2)0.173

Suicide, age-standardized (per 100 000 population)
No. of data60
Regression equation
Y = -0.161979 X +9.339
Correlation coefficient (r)-0.003
Coefficient of determination (R2)0.000