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Question: How much do you agree with these statements about learning science? - I look forward to learning science in 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 Morocco81.5%
2 Albania80.1%
3 Kosovo79.0%
4 Oman74.9%
5 Bahrain74.3%
6 Saudi Arabia73.3%
7 Azerbaijan71.6%
8 Kuwait71.5%
9 Montenegro70.0%
9 Portugal70.0%
11 United Arab Emirates69.3%
12 Iran68.0%
13 North Macedonia67.6%
14 Armenia66.0%
15 Pakistan65.9%
16 Qatar65.7%
17 South Africa62.6%
18 Turkiye59.9%
19 Malta58.8%
20 Georgia57.8%
21 New Zealand57.2%
22 Bulgaria56.8%
23 United States55.8%
24 Ireland55.7%
25 Hong Kong, China54.0%
26 Italy52.6%
27 Bosnia and Herzegovina52.5%
28 Chile52.4%
29 Japan51.5%
30 Austria51.3%
31 Kazakhstan 51.1%
32 Taiwan49.0%
33 Australia48.4%
34 Canada48.1%
35 Spain47.5%
36 Philippines47.2%
37 Singapore46.3%
38 United Kingdom45.4%
39 Hungary44.2%
40 Germany42.9%
41 Norway42.8%
42 France42.4%
43 Serbia40.8%
44 Cyprus39.6%
45 Netherlands38.9%
46 Croatia38.1%
47 Sweden36.2%
48 Slovakia35.3%
49 Belgium35.1%
50 Russian Federation34.4%
51 Denmark34.3%
52 Czech Republic32.2%
53 Lithuania31.0%
53 Republic of Korea31.0%
55 Latvia30.0%
56 Poland26.0%
57 Finland21.0%

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 = -2.607391 X +7.590
Correlation coefficient (r)-0.495
Coefficient of determination (R2)0.245

GDP per capita (current US$)
No. of data57
Regression equation
Y = -51491.551918 X +58512.064
Correlation coefficient (r)-0.328
Coefficient of determination (R2)0.108

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -8.074600 X +82.391
Correlation coefficient (r)-0.280
Coefficient of determination (R2)0.078

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 1.277505 X +1.014
Correlation coefficient (r)0.406
Coefficient of determination (R2)0.165

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -21.323632 X +22.502
Correlation coefficient (r)-0.527
Coefficient of determination (R2)0.278