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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:
25 countries/ areas
Highlight:
1 Chile81.4%
2 Cyprus78.2%
3 Philippines76.8%
4 Israel72.2%
5 Bulgaria69.4%
6 United States69.1%
7 Portugal64.5%
8 Poland63.9%
9 Austria63.4%
10 Germany60.7%
11 Russian Federation60.0%
12 Australia56.4%
13 Spain56.2%
14 Canada56.0%
15 United Kingdom55.9%
16 New Zealand54.8%
17 Slovenia51.6%
18 Slovakia50.6%
19 Hungary49.9%
19 Latvia49.9%
21 Czech Republic48.5%
22 Norway43.7%
23 Sweden41.1%
24 France38.3%
25 Japan 11.6%

Note
Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 213 countries.

Source
ISSP 1999

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data25
Regression equation
Y = -0.515462 X +6.831
Correlation coefficient (r)-0.151
Coefficient of determination (R2)0.023

GDP per capita (current US$)
No. of data25
Regression equation
Y = -33886.542191 X +57380.370
Correlation coefficient (r)-0.217
Coefficient of determination (R2)0.047

Life expectancy at birth - Both sexes (years)
No. of data25
Regression equation
Y = -11.104227 X +85.277
Correlation coefficient (r)-0.357
Coefficient of determination (R2)0.127

Fertility rate, total (births per woman)
No. of data25
Regression equation
Y = 0.757750 X +1.218
Correlation coefficient (r)0.278
Coefficient of determination (R2)0.077

Suicide, age-standardized (per 100 000 population)
No. of data25
Regression equation
Y = -11.323614 X +16.271
Correlation coefficient (r)-0.405
Coefficient of determination (R2)0.164