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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 Germany52.5%
4 United Kingdom48.3%
5 Australia45.7%
6 Sweden41.2%
7 France37.0%
8 Japan 22.7%

Note
Can't choose/ No answer are excluded.

No data for 2 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data8
Regression equation
Y = 0.812736 X +6.457
Correlation coefficient (r)0.268
Coefficient of determination (R2)0.072

GDP per capita (current US$)
No. of data8
Regression equation
Y = 6035.449772 X +48484.298
Correlation coefficient (r)0.071
Coefficient of determination (R2)0.005

Life expectancy at birth - Both sexes (years)
No. of data8
Regression equation
Y = -8.280604 X +85.597
Correlation coefficient (r)-0.542
Coefficient of determination (R2)0.294

Fertility rate, total (births per woman)
No. of data8
Regression equation
Y = -0.347291 X +1.710
Correlation coefficient (r)-0.264
Coefficient of determination (R2)0.070

Suicide - all ages (per 100,000 population)
No. of data8
Regression equation
Y = -14.533586 X +19.209
Correlation coefficient (r)-0.597
Coefficient of determination (R2)0.356