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Question: On a normal school day, how much time do you spend before or after school doing each of these things? - I read a book for enjoyment.
Choices: "No time" "Less than 1 hour" "1-2 hours" "More than 2 but less 4 hours" "4 or more hours"
Data: % of "More than 2 but less 4 hours" "4 or more hours"
Period:
Area:
50 countries/ areas
Highlight:
1 Ghana30.2%
2 Botswana29.8%
3 Georgia18.7%
4 Mongolia17.7%
5 Armenia15.5%
6 Israel13.0%
7 Morocco12.5%
8 Hong Kong, China11.9%
9 Cyprus11.6%
10 Turkiye11.4%
11 Tunisia11.1%
12 Egypt11.0%
12 Lebanon11.0%
14 Iran10.8%
15 Qatar10.6%
16 Bosnia and Herzegovina10.4%
17 Malaysia10.3%
17 Romania10.3%
17 Syrian Arab Republic10.3%
17 Taiwan10.3%
21 Russian Federation10.0%
22 Ukraine9.6%
23 Singapore9.4%
24 Canada9.2%
24 Japan9.2%
24 Saudi Arabia9.2%
27 Czech Republic9.1%
27 El Salvador9.1%
27 Thailand9.1%
30 Bulgaria9.0%
31 Oman 8.8%
32 Serbia8.5%
33 Bahrain8.4%
34 United States8.3%
35 Indonesia8.1%
36 Hungary7.8%
37 Colombia7.7%
37 Kuwait7.7%
39 Palestinian Territory7.4%
40 Jordan7.3%
41 Republic of Korea6.8%
41 Slovenia6.8%
43 Australia6.6%
43 Lithuania6.6%
45 Malta6.5%
46 United Kingdom6.4%
47 Spain5.9%
48 Italy5.8%
49 Sweden5.7%
50 Norway5.2%

Note
Can't choose/ No answer are excluded.

No data for 188 countries.
Source
TIMSS 2007

 Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data47
Regression equation
Y = -11.030268 X +6.974
Correlation coefficient (r)-0.532
Coefficient of determination (R2)0.283
GDP per capita (current US$)
No. of data48
Regression equation
Y = -165575.719362 X +44261.506
Correlation coefficient (r)-0.347
Coefficient of determination (R2)0.120
Life expectancy at birth - Both sexes (years)
No. of data49
Regression equation
Y = -61.017009 X +83.141
Correlation coefficient (r)-0.594
Coefficient of determination (R2)0.353
Fertility rate, total (births per woman)
No. of data49
Regression equation
Y = 6.445266 X +1.169
Correlation coefficient (r)0.500
Coefficient of determination (R2)0.250
Suicide, age-standardized (per 100 000 population)
No. of data47
Regression equation
Y = 18.095575 X +6.520
Correlation coefficient (r)0.166
Coefficient of determination (R2)0.028