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Question: How much do you agree with these statements about mathematics? - I am good at working out difficult mathematics problems.
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 Kosovo56.5%
2 Iran53.4%
3 Saudi Arabia53.1%
4 Pakistan 52.2%
5 Oman52.0%
6 North Macedonia51.5%
7 Montenegro50.4%
8 Bahrain49.4%
9 Kuwait48.5%
10 South Africa46.9%
11 Albania46.7%
12 Azerbaijan43.6%
12 Cyprus43.6%
14 Bosnia and Herzegovina41.9%
15 Armenia41.7%
15 Qatar41.7%
15 United Arab Emirates41.7%
18 Georgia39.5%
19 Morocco38.6%
19 Philippines38.6%
21 Bulgaria37.5%
22 United States37.4%
23 Kazakhstan37.3%
24 Turkiye34.4%
25 Chile33.2%
26 United Kingdom31.9%
27 Canada31.7%
27 Netherlands31.7%
29 Ireland31.6%
30 Malta30.7%
31 Australia30.4%
32 Spain30.0%
33 Croatia29.4%
34 Austria29.3%
35 Italy29.1%
36 Hungary28.1%
37 Slovakia27.9%
38 New Zealand27.2%
39 Serbia26.8%
40 Hong Kong, China26.1%
41 Germany26.0%
42 Norway25.8%
43 France25.1%
44 Portugal24.8%
45 Singapore23.3%
46 Finland22.2%
47 Belgium22.1%
48 Sweden21.8%
49 Russian Federation21.5%
50 Poland20.4%
51 Lithuania18.0%
52 Czech Republic17.9%
53 Latvia17.8%
54 Taiwan17.3%
55 Denmark17.2%
56 Japan16.8%
57 Republic of Korea14.1%

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 = -3.321851 X +7.335
Correlation coefficient (r)-0.474
Coefficient of determination (R2)0.225

GDP per capita (current US$)
No. of data57
Regression equation
Y = -88804.649663 X +61214.614
Correlation coefficient (r)-0.427
Coefficient of determination (R2)0.182

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -19.779755 X +84.824
Correlation coefficient (r)-0.508
Coefficient of determination (R2)0.258

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 2.302139 X +0.908
Correlation coefficient (r)0.542
Coefficient of determination (R2)0.294

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -28.664169 X +21.009
Correlation coefficient (r)-0.517
Coefficient of determination (R2)0.267