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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:
19 countries/ areas
Highlight:
1 Chile73.3%
2 Italy70.2%
3 Israel65.7%
4 Austria59.9%
5 Iceland56.5%
5 United States56.5%
7 Lithuania56.3%
8 New Zealand55.2%
9 Germany52.5%
10 United Kingdom48.3%
11 Czech Republic47.7%
11 Norway47.7%
11 Slovenia47.7%
14 Australia45.7%
15 Sweden41.2%
16 Switzerland39.4%
17 France37.0%
18 Finland27.6%
19 Japan 22.7%

Note
Can't choose/ No answer are excluded.

No data for 19 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data19
Regression equation
Y = -0.610873 X +7.298
Correlation coefficient (r)-0.166
Coefficient of determination (R2)0.028

GDP per capita (current US$)
No. of data19
Regression equation
Y = -41300.906040 X +71445.890
Correlation coefficient (r)-0.262
Coefficient of determination (R2)0.069

Life expectancy at birth - Both sexes (years)
No. of data19
Regression equation
Y = -5.974230 X +84.317
Correlation coefficient (r)-0.333
Coefficient of determination (R2)0.111

Fertility rate, total (births per woman)
No. of data19
Regression equation
Y = 0.720948 X +1.258
Correlation coefficient (r)0.277
Coefficient of determination (R2)0.077

Suicide - all ages (per 100,000 population)
No. of data19
Regression equation
Y = -12.860042 X +19.637
Correlation coefficient (r)-0.360
Coefficient of determination (R2)0.130