Tweet
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 France 37.0%
8 Japan22.7%

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 = 0.284465 X +6.565
Correlation coefficient (r)0.101
Coefficient of determination (R2)0.010

GDP per capita (current US$)
No. of data8
Regression equation
Y = 20380.059695 X +40701.150
Correlation coefficient (r)0.193
Coefficient of determination (R2)0.037

Life expectancy at birth - Both sexes (years)
No. of data8
Regression equation
Y = -8.211780 X +85.578
Correlation coefficient (r)-0.458
Coefficient of determination (R2)0.210

Fertility rate, total (births per woman)
No. of data8
Regression equation
Y = -0.239384 X +1.681
Correlation coefficient (r)-0.169
Coefficient of determination (R2)0.029

Suicide, age-standardized (per 100 000 population)
No. of data8
Regression equation
Y = -12.172889 X +15.630
Correlation coefficient (r)-0.515
Coefficient of determination (R2)0.265