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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? - Made fun of me or called me names.
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 Philippines79.7%
2 Latvia67.9%
3 South Africa63.6%
4 New Zealand63.1%
5 Hong Kong, China61.0%
6 Sweden60.7%
7 Australia59.9%
8 Qatar59.1%
9 Singapore58.1%
10 Portugal57.9%
11 Canada56.7%
12 Belgium56.6%
13 Bahrain55.7%
14 Italy55.6%
15 Germany55.4%
15 Hungary55.4%
17 Russian Federation54.9%
18 United Kingdom54.4%
19 Norway53.0%
20 United Arab Emirates52.3%
21 Pakistan 51.7%
22 Kuwait50.7%
23 Denmark50.0%
24 Malta49.8%
25 Republic of Korea49.7%
26 Taiwan49.5%
26 United States49.5%
28 Cyprus49.2%
29 Lithuania49.1%
30 Netherlands48.0%
31 Spain47.2%
32 Saudi Arabia46.7%
33 Chile46.2%
34 Bulgaria45.9%
34 Oman45.9%
36 Turkiye45.7%
37 Finland45.0%
38 Austria44.7%
39 Japan44.3%
40 Czech Republic43.8%
41 Slovakia43.0%
42 Ireland39.6%
43 Morocco38.9%
44 Poland38.8%
45 France36.7%
46 Kazakhstan36.0%
47 North Macedonia35.5%
48 Croatia35.0%
49 Iran32.7%
50 Georgia26.7%
51 Bosnia and Herzegovina25.9%
52 Azerbaijan24.9%
53 Serbia24.3%
54 Kosovo21.0%
55 Montenegro20.8%
56 Albania17.5%
57 Armenia16.6%

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 = 2.008253 X +5.312
Correlation coefficient (r)0.336
Coefficient of determination (R2)0.113

GDP per capita (current US$)
No. of data57
Regression equation
Y = 73525.176386 X -2620.018
Correlation coefficient (r)0.405
Coefficient of determination (R2)0.164

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = 6.617187 X +75.085
Correlation coefficient (r)0.198
Coefficient of determination (R2)0.039

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = -0.174400 X +1.765
Correlation coefficient (r)-0.048
Coefficient of determination (R2)0.002

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = 7.006393 X +8.161
Correlation coefficient (r)0.147
Coefficient of determination (R2)0.022