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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:
30 countries/ areas
Highlight:
1 Chile81.5%
2 Turkiye78.2%
3 Spain70.0%
4 Portugal64.8%
5 Poland63.9%
5 United States63.9%
7 Israel62.6%
8 Iceland58.7%
9 Austria58.3%
10 Lithuania58.0%
11 Slovakia57.1%
12 Switzerland56.9%
13 Germany56.6%
14 Latvia55.4%
15 Italy55.3%
16 Czech Republic55.2%
17 Republic of Korea54.6%
18 Hungary53.2%
19 Australia52.1%
20 Slovenia51.2%
21 New Zealand46.9%
22 Norway46.0%
23 United Kingdom45.5%
24 Estonia40.4%
25 Sweden40.3%
26 Belgium40.2%
27 France38.3%
28 Denmark37.7%
29 Finland29.7%
30 Japan 27.0%

Note
Can't choose/ No answer are excluded.

No data for 8 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -2.254240 X +7.912
Correlation coefficient (r)-0.442
Coefficient of determination (R2)0.195

GDP per capita (current US$)
No. of data30
Regression equation
Y = -55554.816299 X +72953.643
Correlation coefficient (r)-0.299
Coefficient of determination (R2)0.089

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -9.294881 X +85.132
Correlation coefficient (r)-0.344
Coefficient of determination (R2)0.118

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.210995 X +1.478
Correlation coefficient (r)0.077
Coefficient of determination (R2)0.006

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -10.580600 X +16.217
Correlation coefficient (r)-0.321
Coefficient of determination (R2)0.103