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Question: How much do you agree with these statements about your science lessons? - My teacher is good at explaining science.
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 Albania98.0%
2 Kosovo97.3%
3 North Macedonia94.8%
4 Bulgaria91.4%
5 Iran90.6%
6 Montenegro90.5%
7 Georgia90.1%
8 Azerbaijan89.2%
9 Bosnia and Herzegovina88.2%
10 Armenia87.4%
11 Oman87.1%
12 Morocco86.6%
13 Portugal85.9%
14 Bahrain85.1%
15 Turkiye84.5%
16 Saudi Arabia83.8%
17 Spain83.4%
18 Austria82.3%
19 Kuwait82.0%
19 Russian Federation82.0%
21 Italy81.9%
21 United Arab Emirates81.9%
23 Hungary80.5%
24 Kazakhstan 80.4%
25 Malta79.8%
26 Lithuania79.1%
27 Serbia78.6%
28 Slovakia78.4%
29 Cyprus77.0%
30 Norway76.6%
31 Qatar76.5%
32 United States76.3%
33 Belgium75.1%
34 Canada74.3%
35 Ireland73.5%
36 Germany73.3%
37 Czech Republic72.9%
37 Pakistan72.9%
39 South Africa71.8%
40 Chile71.5%
41 United Kingdom71.2%
42 Croatia70.8%
43 Latvia70.1%
44 Sweden69.2%
45 Singapore68.4%
46 Australia67.7%
47 Poland64.6%
48 Netherlands63.5%
49 Finland62.3%
50 Philippines61.9%
51 Taiwan61.3%
52 Denmark61.0%
53 France60.6%
54 New Zealand59.8%
55 Hong Kong, China55.3%
56 Japan53.8%
57 Republic of Korea53.7%

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 = -3.135287 X +8.637
Correlation coefficient (r)-0.440
Coefficient of determination (R2)0.194

GDP per capita (current US$)
No. of data57
Regression equation
Y = -104957.738100 X +111955.739
Correlation coefficient (r)-0.486
Coefficient of determination (R2)0.236

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -17.285773 X +91.448
Correlation coefficient (r)-0.427
Coefficient of determination (R2)0.182

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 0.977993 X +0.932
Correlation coefficient (r)0.222
Coefficient of determination (R2)0.049

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -20.533230 X +27.221
Correlation coefficient (r)-0.346
Coefficient of determination (R2)0.120