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Question: What do you think of your childfs school? - My child's school does a good job in helping him/her become better in science.
Choices: "Agree a lot" "Agree a little" "Disagree a little" "Disagree a lot"
Data: % of "Agree a lot"
Period:
Area:
52 countries/ areas
Highlight:
1 Albania88.4%
2 Kosovo84.8%
3 Armenia81.3%
3 North Macedonia81.3%
5 Montenegro75.9%
6 Bulgaria75.4%
7 Kazakhstan75.2%
8 Georgia74.9%
9 Saudi Arabia73.3%
10 Serbia72.9%
11 Bosnia and Herzegovina72.5%
12 Oman72.3%
13 Turkiye71.3%
14 Pakistan 67.6%
15 Italy67.0%
16 Azerbaijan66.6%
17 Qatar66.5%
18 Malta66.2%
19 Philippines66.1%
20 Morocco65.8%
21 South Africa65.2%
22 Lithuania65.0%
23 United Arab Emirates63.9%
24 Kuwait62.7%
25 Iran62.1%
26 Portugal61.8%
27 Bahrain61.2%
28 Austria60.6%
29 Spain58.1%
30 Cyprus57.7%
31 Slovakia56.9%
32 Hungary55.5%
33 Ireland53.5%
34 Finland52.9%
35 Singapore51.7%
36 Russian Federation50.7%
37 Canada49.4%
38 Belgium47.8%
39 New Zealand45.5%
40 Poland43.8%
41 Latvia43.6%
42 Sweden42.4%
43 Denmark39.7%
44 Germany38.1%
45 Croatia37.5%
46 Taiwan37.0%
47 Chile36.3%
48 Hong Kong, China36.0%
49 Czech Republic33.8%
50 France30.6%
51 Republic of Korea14.4%
52 Japan5.9%

Note
The result of the survey on the parents of Grade 4 students. Belgium: The Flemish Community only. United Kingdom: England only.

No data for 186 countries.

Source
TIMSS 2019 > International Database > TIMSS 2019 Data Almanacs - Grade 4

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data50
Regression equation
Y = -1.770466 X +7.156
Correlation coefficient (r)-0.403
Coefficient of determination (R2)0.162

GDP per capita (current US$)
No. of data52
Regression equation
Y = -60633.636763 X +63091.869
Correlation coefficient (r)-0.479
Coefficient of determination (R2)0.229

Life expectancy at birth - Both sexes (years)
No. of data51
Regression equation
Y = -13.992841 X +85.950
Correlation coefficient (r)-0.540
Coefficient of determination (R2)0.292

Fertility rate, total (births per woman)
No. of data51
Regression equation
Y = 1.124860 X +1.046
Correlation coefficient (r)0.385
Coefficient of determination (R2)0.148

Suicide - all ages (per 100,000 population)
No. of data49
Regression equation
Y = -16.326250 X +20.791
Correlation coefficient (r)-0.431
Coefficient of determination (R2)0.186