Tweet
Question: How much do you agree with these statements about your mathematics lessons? - My teacher is easy to understand.
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 Albania98.7%
2 Kosovo96.6%
3 North Macedonia89.6%
4 Georgia85.4%
5 Montenegro83.4%
6 Armenia83.1%
7 Bosnia and Herzegovina80.3%
8 Azerbaijan79.6%
9 Iran76.2%
10 Pakistan75.9%
11 Saudi Arabia73.4%
12 Bulgaria72.4%
13 Morocco 72.0%
14 Bahrain70.6%
15 Czech Republic70.4%
16 Oman70.2%
17 Germany69.1%
18 Spain68.5%
19 Portugal67.9%
20 United Arab Emirates67.6%
21 Cyprus66.1%
22 Ireland65.8%
22 Kuwait65.8%
24 Malta65.5%
25 Slovakia65.2%
26 Turkiye64.9%
27 South Africa64.3%
28 Qatar63.8%
29 Serbia63.5%
30 Kazakhstan63.3%
31 United States63.1%
32 Netherlands62.4%
33 Canada61.5%
34 Australia61.2%
35 United Kingdom60.5%
36 Belgium58.6%
37 Hungary57.8%
38 Austria57.6%
38 Lithuania57.6%
40 New Zealand56.2%
41 Finland55.9%
42 Chile54.0%
42 Singapore54.0%
44 Norway53.9%
45 Croatia52.8%
46 Latvia52.2%
47 Russian Federation52.0%
48 Philippines51.8%
49 Sweden51.0%
50 Taiwan49.0%
51 Japan48.5%
52 France48.0%
53 Republic of Korea46.8%
54 Hong Kong, China46.7%
55 Italy46.6%
56 Denmark43.4%
57 Poland34.7%

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 = -2.565401 X +7.874
Correlation coefficient (r)-0.430
Coefficient of determination (R2)0.185

GDP per capita (current US$)
No. of data57
Regression equation
Y = -81862.273587 X +83762.930
Correlation coefficient (r)-0.450
Coefficient of determination (R2)0.203

Life expectancy at birth - Both sexes (years)
No. of data56
Regression equation
Y = -13.597458 X +86.867
Correlation coefficient (r)-0.402
Coefficient of determination (R2)0.162

Fertility rate, total (births per woman)
No. of data56
Regression equation
Y = 1.056302 X +1.007
Correlation coefficient (r)0.286
Coefficient of determination (R2)0.082

Suicide - all ages (per 100,000 population)
No. of data54
Regression equation
Y = -18.821534 X +23.432
Correlation coefficient (r)-0.377
Coefficient of determination (R2)0.142