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 "No time" "Less than 1 hour"
Period:
Area:
50 countries/ areas
Highlight:
1 Republic of Korea76.9%
2 Ghana72.1%
3 Taiwan67.7%
4 Malaysia61.6%
5 Jordan60.6%
6 Palestinian Territory 60.2%
7 Lithuania60.0%
8 Kuwait58.8%
9 Hong Kong, China58.7%
10 Syrian Arab Republic57.7%
11 Saudi Arabia56.8%
12 Armenia56.5%
13 Indonesia56.2%
14 Turkiye55.9%
15 Malta55.6%
16 Egypt54.6%
17 Oman54.3%
18 Georgia54.0%
19 Iran53.9%
20 Ukraine52.1%
21 Thailand51.3%
22 Romania50.7%
23 Bahrain50.3%
24 Singapore49.9%
25 Russian Federation49.5%
26 Bulgaria48.9%
27 Qatar48.7%
28 Lebanon47.7%
29 Japan46.8%
29 Mongolia46.8%
31 Botswana45.1%
32 El Salvador42.3%
32 Israel42.3%
34 Colombia41.5%
35 Tunisia40.6%
36 Cyprus40.4%
37 Hungary40.0%
38 Slovenia38.7%
39 Serbia38.0%
40 Morocco37.8%
41 United Kingdom36.7%
42 Bosnia and Herzegovina36.4%
43 Australia35.1%
44 Czech Republic34.8%
45 Sweden34.3%
46 Italy33.3%
47 Canada32.6%
48 United States31.9%
49 Spain31.1%
50 Norway24.5%

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 = -3.686390 X +7.600
Correlation coefficient (r)-0.416
Coefficient of determination (R2)0.173

GDP per capita (current US$)
No. of data48
Regression equation
Y = -75154.115393 X +61493.253
Correlation coefficient (r)-0.380
Coefficient of determination (R2)0.144

Life expectancy at birth - Both sexes (years)
No. of data49
Regression equation
Y = -15.306376 X +84.615
Correlation coefficient (r)-0.373
Coefficient of determination (R2)0.139

Fertility rate, total (births per woman)
No. of data49
Regression equation
Y = 1.896731 X +0.983
Correlation coefficient (r)0.317
Coefficient of determination (R2)0.100

Suicide - all ages (per 100,000 population)
No. of data47
Regression equation
Y = -2.482438 X +10.929
Correlation coefficient (r)-0.041
Coefficient of determination (R2)0.002