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Question: What do you think about your school? Tell how much you agree with these statements. - I feel like I belong at this school.
Choices: "Agree a lot" "Agree a little" "Disagree a little" "Disagree a lot"
Data: % of "Agree a lot"
Period:
Area:
57 countries/ areas
Highlight:
1 Albania93.8%
2 Kosovo90.0%
3 North Macedonia88.3%
4 Montenegro84.6%
5 Portugal83.6%
6 Morocco80.8%
7 Azerbaijan78.7%
8 Pakistan77.8%
9 Bulgaria77.1%
10 Spain74.3%
11 Georgia74.1%
11 Turkiye74.1%
13 Saudi Arabia72.0%
14 Italy71.9%
14 Norway71.9%
16 Iran70.0%
17 Kazakhstan 69.7%
18 Bosnia and Herzegovina69.3%
19 Finland68.6%
20 Chile68.2%
21 Slovakia68.0%
22 Cyprus67.8%
23 Oman67.2%
24 Austria67.0%
25 Denmark66.6%
26 Bahrain66.1%
27 Hungary65.5%
28 Serbia64.7%
29 Armenia64.4%
29 Ireland64.4%
31 Kuwait63.6%
32 France63.0%
32 Germany63.0%
34 Lithuania61.9%
35 United Arab Emirates60.5%
36 South Africa60.2%
37 New Zealand59.8%
38 Malta57.2%
39 Taiwan56.8%
39 United States56.8%
41 Qatar56.6%
42 United Kingdom56.1%
43 Australia55.7%
44 Canada55.6%
45 Netherlands54.0%
46 Sweden53.3%
47 Philippines50.7%
48 Czech Republic50.4%
49 Republic of Korea50.3%
50 Singapore46.1%
51 Croatia45.5%
51 Latvia45.5%
53 Belgium45.2%
54 Russian Federation44.1%
55 Hong Kong, China37.3%
56 Japan36.5%
57 Poland33.0%

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 = -1.724608 X +7.337
Correlation coefficient (r)-0.294
Coefficient of determination (R2)0.086

GDP per capita (current US$)
No. of data57
Regression equation
Y = -64501.740340 X +72485.702
Correlation coefficient (r)-0.360
Coefficient of determination (R2)0.130

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -9.262924 X +84.048
Correlation coefficient (r)-0.281
Coefficient of determination (R2)0.079

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 1.066788 X +1.005
Correlation coefficient (r)0.296
Coefficient of determination (R2)0.088

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -17.449262 X +22.526
Correlation coefficient (r)-0.360
Coefficient of determination (R2)0.130