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Question: How much do you agree with these statements about mathematics? - Mathematics is harder for me than any other subject.
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 South Africa28.8%
2 Philippines26.9%
3 Portugal25.8%
4 Pakistan 25.3%
5 Iran23.5%
5 Taiwan23.5%
7 New Zealand21.6%
8 Spain21.0%
9 Kuwait20.5%
10 Chile20.4%
10 Qatar20.4%
12 Oman18.2%
13 Malta18.1%
14 Bosnia and Herzegovina17.8%
14 Turkiye17.8%
16 Belgium17.5%
16 Saudi Arabia17.5%
18 Hong Kong, China17.0%
19 Singapore16.9%
20 United States16.6%
21 United Kingdom16.5%
22 Azerbaijan16.2%
23 Latvia16.0%
24 Hungary15.9%
25 Armenia15.8%
25 Russian Federation15.8%
27 Australia15.6%
27 Bahrain15.6%
29 United Arab Emirates15.5%
30 Netherlands15.4%
31 Ireland15.1%
31 Morocco15.1%
33 Serbia14.8%
34 Bulgaria14.6%
35 Germany14.4%
36 Canada14.3%
36 Georgia14.3%
38 Austria14.2%
38 Kosovo14.2%
38 Montenegro14.2%
38 Poland14.2%
42 Italy13.4%
42 North Macedonia13.4%
44 Czech Republic13.2%
45 Norway12.7%
46 Denmark12.6%
46 Japan12.6%
48 Albania12.5%
49 Slovakia12.4%
50 Lithuania12.0%
51 Cyprus11.5%
51 France11.5%
53 Republic of Korea11.2%
54 Kazakhstan9.7%
55 Croatia9.2%
56 Sweden7.5%
57 Finland7.3%

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 = -6.152903 X +7.222
Correlation coefficient (r)-0.352
Coefficient of determination (R2)0.124

GDP per capita (current US$)
No. of data57
Regression equation
Y = -109355.288536 X +49094.485
Correlation coefficient (r)-0.207
Coefficient of determination (R2)0.043

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -33.643729 X +83.514
Correlation coefficient (r)-0.337
Coefficient of determination (R2)0.114

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 3.704918 X +1.094
Correlation coefficient (r)0.341
Coefficient of determination (R2)0.116

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -36.066048 X +17.175
Correlation coefficient (r)-0.265
Coefficient of determination (R2)0.070