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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 watch television and videos.
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 Ghana78.0%
2 Egypt52.1%
3 Botswana50.0%
4 Syrian Arab Republic49.7%
5 Oman47.8%
6 Morocco47.5%
7 Mongolia41.8%
8 Palestinian Territory41.6%
9 El Salvador40.7%
10 Armenia39.7%
11 Indonesia39.5%
12 Thailand39.3%
13 Spain38.6%
14 Tunisia38.1%
15 Taiwan37.5%
16 Turkiye36.1%
17 Colombia34.9%
18 Lebanon34.4%
19 Jordan34.0%
20 Malta33.9%
21 Iran31.9%
22 Italy31.5%
23 Australia30.7%
24 Saudi Arabia30.5%
25 Canada29.6%
26 Lithuania28.7%
27 Republic of Korea27.6%
28 United States27.0%
29 Qatar26.4%
30 Georgia26.3%
31 Ukraine26.1%
32 Bulgaria25.8%
32 Kuwait25.8%
34 Israel25.4%
35 Bosnia and Herzegovina25.3%
35 Czech Republic25.3%
35 Serbia25.3%
38 Bahrain25.0%
38 United Kingdom25.0%
40 Slovenia24.9%
41 Russian Federation24.7%
42 Sweden24.4%
43 Norway23.8%
44 Romania23.6%
45 Hungary21.6%
46 Malaysia21.5%
47 Hong Kong, China21.1%
48 Cyprus21.0%
49 Singapore18.3%
50 Japan 11.8%

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 = -5.074411 X +7.444
Correlation coefficient (r)-0.529
Coefficient of determination (R2)0.280

GDP per capita (current US$)
No. of data48
Regression equation
Y = -100054.569577 X +58522.195
Correlation coefficient (r)-0.440
Coefficient of determination (R2)0.194

Life expectancy at birth - Both sexes (years)
No. of data49
Regression equation
Y = -30.067695 X +85.791
Correlation coefficient (r)-0.600
Coefficient of determination (R2)0.360

Fertility rate, total (births per woman)
No. of data49
Regression equation
Y = 3.860605 X +0.623
Correlation coefficient (r)0.669
Coefficient of determination (R2)0.448

Suicide, age-standardized (per 100 000 population)
No. of data47
Regression equation
Y = -6.921434 X +10.609
Correlation coefficient (r)-0.142
Coefficient of determination (R2)0.020