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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:
8 countries/ areas
Highlight:
1 Italy70.2%
2 United States56.5%
3 Germany 52.5%
4 United Kingdom48.3%
7 France37.0%
8 Japan22.7%

Note
Can't choose/ No answer are excluded.

No data for 1 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data6
Regression equation
Y = 0.670173 X +6.210
Correlation coefficient (r)0.393
Coefficient of determination (R2)0.154

GDP per capita (current US$)
No. of data6
Regression equation
Y = 35324.942316 X +33356.294
Correlation coefficient (r)0.344
Coefficient of determination (R2)0.118

Life expectancy at birth - Both sexes (years)
No. of data6
Regression equation
Y = -5.800596 X +84.327
Correlation coefficient (r)-0.414
Coefficient of determination (R2)0.171

Fertility rate, total (births per woman)
No. of data6
Regression equation
Y = -0.119230 X +1.555
Correlation coefficient (r)-0.088
Coefficient of determination (R2)0.008

Suicide, age-standardized (per 100 000 population)
No. of data6
Regression equation
Y = -11.113328 X +14.633
Correlation coefficient (r)-0.496
Coefficient of determination (R2)0.246