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Question: The number of years spent in education and training ? how important do you think that ought to be in deciding pay?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
41 countries/ areas
Highlight:
1 South Africa82.0%
2 Chile81.5%
3 Argentina79.9%
4 Turkiye78.2%
5 Philippines78.1%
6 Bulgaria74.7%
7 Cyprus73.3%
7 Venezuela73.3%
9 Spain70.0%
10 Portugal64.8%
11 Croatia63.9%
11 Poland63.9%
11 United States63.9%
14 Israel62.6%
15 China62.2%
16 Ukraine62.0%
17 Iceland58.7%
18 Austria58.3%
19 Lithuania58.0%
20 Slovakia57.1%
21 Switzerland56.9%
22 Germany56.6%
23 Russian Federation56.0%
24 Latvia55.4%
25 Italy55.3%
26 Czech Republic55.2%
27 Republic of Korea54.6%
28 Taiwan53.9%
29 Hungary 53.2%
30 Australia52.1%
31 Slovenia51.2%
32 New Zealand46.9%
33 Norway46.0%
34 United Kingdom45.5%
35 Estonia40.4%
36 Sweden40.3%
37 Belgium40.2%
38 France38.3%
39 Denmark37.7%
40 Finland29.7%
41 Japan27.0%

Note
Can't choose/ No answer are excluded.

No data for 197 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data41
Regression equation
Y = -3.279022 X +8.324
Correlation coefficient (r)-0.579
Coefficient of determination (R2)0.335

GDP per capita (current US$)
No. of data41
Regression equation
Y = -93660.148014 X +88861.063
Correlation coefficient (r)-0.552
Coefficient of determination (R2)0.305

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -17.059183 X +88.622
Correlation coefficient (r)-0.538
Coefficient of determination (R2)0.289

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 1.004482 X +1.052
Correlation coefficient (r)0.373
Coefficient of determination (R2)0.139

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = -14.569757 X +21.538
Correlation coefficient (r)-0.317
Coefficient of determination (R2)0.100