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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 play sports.
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 Norway39.2%
2 United States38.3%
3 Canada35.6%
4 United Kingdom34.5%
5 Czech Republic33.5%
6 Cyprus32.9%
7 Italy31.6%
8 Colombia31.5%
9 Bosnia and Herzegovina31.1%
10 Australia30.6%
11 El Salvador30.5%
12 Israel29.2%
12 Serbia29.2%
14 Sweden28.9%
15 Slovenia28.2%
16 Japan 28.0%
17 Hungary27.5%
18 Botswana26.6%
19 Lebanon26.3%
20 Qatar26.0%
21 Spain25.6%
22 Mongolia25.3%
23 Bahrain24.7%
24 Georgia24.6%
24 Tunisia24.6%
26 Bulgaria23.8%
26 Singapore23.8%
28 Romania23.4%
29 Malta20.7%
30 Egypt20.5%
31 Morocco20.3%
32 Russian Federation20.1%
33 Iran19.9%
34 Oman19.6%
35 Saudi Arabia19.5%
36 Ukraine19.1%
37 Kuwait18.8%
38 Armenia17.9%
39 Jordan17.7%
40 Palestinian Territory16.6%
41 Hong Kong, China16.5%
42 Syrian Arab Republic15.8%
43 Turkiye15.7%
44 Thailand15.4%
45 Lithuania14.6%
46 Malaysia12.5%
47 Taiwan11.1%
48 Indonesia11.0%
49 Ghana10.8%
50 Republic of Korea4.9%

Note
Don't know/ No answer are excluded. United Kingdom: England only.

No data for 188 countries.
Source
TIMSS 2007

 Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data47
Regression equation
Y = 5.488494 X +4.535
Correlation coefficient (r)0.420
Coefficient of determination (R2)0.176
GDP per capita (current US$)
No. of data48
Regression equation
Y = 131403.621087 X -5611.179
Correlation coefficient (r)0.450
Coefficient of determination (R2)0.203
Life expectancy at birth - Both sexes (years)
No. of data49
Regression equation
Y = 21.397314 X +72.214
Correlation coefficient (r)0.356
Coefficient of determination (R2)0.127
Fertility rate, total (births per woman)
No. of data49
Regression equation
Y = -2.307630 X +2.439
Correlation coefficient (r)-0.263
Coefficient of determination (R2)0.069
Suicide - all ages (per 100,000 population)
No. of data47
Regression equation
Y = 1.389681 X +9.419
Correlation coefficient (r)0.016
Coefficient of determination (R2)0.000