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Question: During this school year, how often have other students from your school done any of the following things to you, including through texting or the Internet? - Damaged something of mine on purpose.
Choices: "At least once a week" "Once or twice a month" "A few times a year" "Never"
Data: % of "At least once a week" "Once or twice a month" "A few times a year"
Period:
Area:
57 countries/ areas
Highlight:
1 Philippines63.3%
2 South Africa53.7%
3 Qatar40.6%
4 Oman40.2%
5 Kuwait39.5%
6 Pakistan39.4%
7 Bahrain38.6%
8 Morocco 37.8%
9 United Arab Emirates36.2%
10 New Zealand35.5%
11 Latvia34.3%
12 Saudi Arabia33.6%
13 Italy32.8%
14 Australia30.7%
15 Singapore29.1%
16 Turkiye28.4%
17 Malta28.0%
18 Canada27.5%
19 Sweden26.6%
20 Portugal26.2%
21 Denmark25.5%
21 Iran25.5%
23 Cyprus25.3%
24 Chile24.8%
25 Hong Kong, China24.5%
26 Germany24.3%
26 United States24.3%
28 Russian Federation23.2%
29 Spain23.1%
30 Belgium23.0%
31 Austria22.4%
32 North Macedonia22.2%
32 United Kingdom22.2%
34 Slovakia21.8%
35 Norway21.6%
36 Taiwan21.4%
37 Netherlands20.7%
38 Croatia19.7%
39 Ireland19.0%
40 Czech Republic18.9%
41 Hungary18.8%
42 Bulgaria18.7%
43 Poland18.0%
44 Kazakhstan16.3%
45 France15.2%
46 Azerbaijan14.7%
47 Bosnia and Herzegovina14.6%
48 Montenegro14.2%
49 Georgia13.5%
50 Kosovo12.9%
50 Republic of Korea12.9%
52 Finland12.4%
53 Serbia12.1%
54 Albania11.5%
54 Lithuania11.5%
56 Armenia10.6%
57 Japan8.9%

Note
Belgium: The Flemish Community only. United Kingdom: England only.

No data for 181 countries.

Source
TIMSS 2019 > International Database > TIMSS 2019 Data Almanacs - Grade 4

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data55
Regression equation
Y = -0.468048 X +6.354
Correlation coefficient (r)-0.062
Coefficient of determination (R2)0.004

GDP per capita (current US$)
No. of data57
Regression equation
Y = 84.778499 X +31509.487
Correlation coefficient (r)0.000
Coefficient of determination (R2)0.000

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -9.111569 X +80.418
Correlation coefficient (r)-0.223
Coefficient of determination (R2)0.050

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 1.875540 X +1.218
Correlation coefficient (r)0.421
Coefficient of determination (R2)0.177

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -15.804311 X +15.387
Correlation coefficient (r)-0.281
Coefficient of determination (R2)0.079