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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:
21 countries/ areas
Highlight:
1 Chile81.4%
2 Israel72.2%
3 United States69.1%
4 Portugal64.5%
5 Poland63.9%
6 Austria63.4%
7 Germany60.7%
8 Australia56.4%
9 Spain56.2%
10 Canada56.0%
11 United Kingdom55.9%
12 New Zealand54.8%
13 Slovenia51.6%
14 Slovakia50.6%
15 Hungary49.9%
15 Latvia49.9%
17 Czech Republic48.5%
18 Norway43.7%
19 Sweden41.1%
20 France38.3%
21 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 17 countries.

Source
ISSP 1999

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data21
Regression equation
Y = 0.383372 X +6.508
Correlation coefficient (r)0.121
Coefficient of determination (R2)0.015

GDP per capita (current US$)
No. of data21
Regression equation
Y = -8393.620900 X +46811.576
Correlation coefficient (r)-0.053
Coefficient of determination (R2)0.003

Life expectancy at birth - Both sexes (years)
No. of data21
Regression equation
Y = -6.131202 X +83.442
Correlation coefficient (r)-0.256
Coefficient of determination (R2)0.066

Fertility rate, total (births per woman)
No. of data21
Regression equation
Y = 0.607377 X +1.295
Correlation coefficient (r)0.245
Coefficient of determination (R2)0.060

Suicide, age-standardized (per 100 000 population)
No. of data21
Regression equation
Y = -7.038262 X +13.901
Correlation coefficient (r)-0.355
Coefficient of determination (R2)0.126