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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 Hungary53.2%
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 Japan 27.0%

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 = -2.768504 X +8.043
Correlation coefficient (r)-0.568
Coefficient of determination (R2)0.323

GDP per capita (current US$)
No. of data41
Regression equation
Y = -87939.285099 X +86118.704
Correlation coefficient (r)-0.496
Coefficient of determination (R2)0.246

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -20.324481 X +89.941
Correlation coefficient (r)-0.543
Coefficient of determination (R2)0.295

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.805575 X +1.167
Correlation coefficient (r)0.280
Coefficient of determination (R2)0.078

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -9.446013 X +15.949
Correlation coefficient (r)-0.251
Coefficient of determination (R2)0.063