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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 or talk with friends.
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 Ghana69.7%
2 Syrian Arab Republic60.7%
3 Jordan59.5%
4 Taiwan58.4%
5 Indonesia56.4%
6 Iran54.7%
7 Egypt53.6%
8 Oman53.0%
9 Palestinian Territory51.9%
10 Tunisia49.5%
11 Malaysia49.4%
12 Kuwait49.1%
13 Saudi Arabia48.6%
14 Morocco 48.4%
15 Armenia47.4%
15 Turkiye47.4%
17 Japan45.5%
18 Lebanon44.8%
19 Republic of Korea44.5%
20 Qatar44.1%
21 El Salvador43.7%
22 Mongolia42.2%
23 Bahrain41.7%
24 Hong Kong, China40.4%
25 Botswana39.1%
26 Colombia38.6%
26 Malta38.6%
28 Thailand38.3%
29 Georgia37.6%
30 Australia36.3%
31 Singapore36.2%
32 Slovenia30.7%
33 Canada29.7%
34 Serbia29.1%
35 Bosnia and Herzegovina28.8%
35 Spain28.8%
37 Israel28.3%
38 Cyprus28.1%
39 Romania26.6%
40 Italy23.3%
41 United States23.0%
42 Russian Federation21.6%
43 Bulgaria20.6%
44 Ukraine20.3%
45 Hungary19.9%
46 Lithuania18.5%
47 United Kingdom17.5%
48 Norway15.9%
49 Czech Republic15.5%
50 Sweden15.2%

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 = -4.105464 X +7.366
Correlation coefficient (r)-0.550
Coefficient of determination (R2)0.303

GDP per capita (current US$)
No. of data48
Regression equation
Y = -65787.125203 X +50116.879
Correlation coefficient (r)-0.399
Coefficient of determination (R2)0.159

Life expectancy at birth - Both sexes (years)
No. of data49
Regression equation
Y = -10.889635 X +81.408
Correlation coefficient (r)-0.328
Coefficient of determination (R2)0.108

Fertility rate, total (births per woman)
No. of data49
Regression equation
Y = 3.000544 X +0.757
Correlation coefficient (r)0.620
Coefficient of determination (R2)0.384

Suicide - all ages (per 100,000 population)
No. of data47
Regression equation
Y = -25.787448 X +19.410
Correlation coefficient (r)-0.529
Coefficient of determination (R2)0.280