Tweet
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
Can't choose/ No answer are excluded. Belgium: Flanders only. Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. United Kingdom: excluding Northern Ireland.

No data for 188 countries.
Source
TIMSS 2007

 Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data47
Regression equation
Y = 4.660254 X +4.735
Correlation coefficient (r)0.347
Coefficient of determination (R2)0.120
GDP per capita (current US$)
No. of data48
Regression equation
Y = 138579.645699 X -6116.442
Correlation coefficient (r)0.426
Coefficient of determination (R2)0.181
Life expectancy at birth - Both sexes (years)
No. of data49
Regression equation
Y = 22.825557 X +70.718
Correlation coefficient (r)0.305
Coefficient of determination (R2)0.093
Fertility rate, total (births per woman)
No. of data49
Regression equation
Y = -1.690786 X +2.264
Correlation coefficient (r)-0.197
Coefficient of determination (R2)0.039
Suicide, age-standardized (per 100 000 population)
No. of data47
Regression equation
Y = -0.165807 X +8.424
Correlation coefficient (r)-0.002
Coefficient of determination (R2)0.000