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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 = -0.418435 X +7.180
Correlation coefficient (r)-0.126
Coefficient of determination (R2)0.016

GDP per capita (current US$)
No. of data19
Regression equation
Y = -31351.933547 X +67074.328
Correlation coefficient (r)-0.174
Coefficient of determination (R2)0.030

Life expectancy at birth - Both sexes (years)
No. of data19
Regression equation
Y = -7.310357 X +84.891
Correlation coefficient (r)-0.354
Coefficient of determination (R2)0.125

Fertility rate, total (births per woman)
No. of data19
Regression equation
Y = 0.655949 X +1.323
Correlation coefficient (r)0.235
Coefficient of determination (R2)0.055

Suicide, age-standardized (per 100 000 population)
No. of data19
Regression equation
Y = -9.540178 X +15.371
Correlation coefficient (r)-0.350
Coefficient of determination (R2)0.122