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Question: How much do you agree with these statements about mathematics? - Mathematics is harder for me than for many of my classmates.
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 Philippines28.4%
2 South Africa28.0%
3 Iran26.7%
4 Portugal25.3%
5 Kuwait24.9%
6 Pakistan 24.2%
7 Chile21.7%
8 Spain21.6%
9 Saudi Arabia20.9%
10 New Zealand20.6%
11 Qatar20.4%
12 Oman19.4%
13 Bulgaria19.2%
14 Armenia18.5%
15 Russian Federation17.8%
16 Italy17.2%
17 Malta16.8%
18 Hong Kong, China16.7%
19 Morocco16.6%
20 Kosovo16.5%
21 United Arab Emirates16.3%
22 Bahrain16.1%
22 United States16.1%
24 Azerbaijan16.0%
25 Singapore15.8%
26 Latvia15.7%
27 North Macedonia15.6%
27 Taiwan15.6%
29 Turkiye15.4%
30 Bosnia and Herzegovina15.1%
30 United Kingdom15.1%
32 Netherlands14.9%
33 Belgium14.4%
34 Albania14.3%
34 Canada14.3%
36 Georgia14.0%
37 Ireland13.8%
38 Australia13.7%
39 Slovakia13.5%
40 Hungary13.4%
41 Poland13.1%
42 Montenegro12.7%
43 Czech Republic12.6%
44 Cyprus11.7%
45 Denmark11.5%
46 France11.4%
47 Austria11.2%
47 Germany11.2%
49 Norway11.0%
50 Serbia10.6%
51 Japan10.2%
52 Kazakhstan10.1%
53 Lithuania9.9%
54 Sweden9.5%
55 Croatia8.7%
56 Finland8.5%
57 Republic of Korea3.7%

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 = -6.181536 X +7.205
Correlation coefficient (r)-0.398
Coefficient of determination (R2)0.158

GDP per capita (current US$)
No. of data57
Regression equation
Y = -138416.327445 X +53339.562
Correlation coefficient (r)-0.295
Coefficient of determination (R2)0.087

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -34.856209 X +83.648
Correlation coefficient (r)-0.404
Coefficient of determination (R2)0.163

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 3.914701 X +1.067
Correlation coefficient (r)0.416
Coefficient of determination (R2)0.173

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -50.917041 X +19.434
Correlation coefficient (r)-0.433
Coefficient of determination (R2)0.187