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Question: How well he or she does the job ? 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 Austria92.4%
2 Israel91.6%
3 New Zealand91.4%
4 Germany90.2%
5 United States88.6%
6 Sweden86.6%
7 Italy85.6%
8 Switzerland85.5%
9 Iceland83.9%
10 Slovenia83.5%
11 Finland82.4%
12 Chile79.0%
13 Lithuania78.9%
14 Czech Republic77.2%
15 United Kingdom77.1%
16 Australia75.0%
17 Japan 74.5%
18 Norway72.7%
19 France68.1%

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 = 1.708541 X +5.495
Correlation coefficient (r)0.309
Coefficient of determination (R2)0.095

Life satisfaction (10 steps)
No. of data19
Regression equation
Y = 1.281404 X +5.833
Correlation coefficient (r)0.228
Coefficient of determination (R2)0.052

Life satisfaction (10 steps)
No. of data19
Regression equation
Y = 1.457993 X +5.707
Correlation coefficient (r)0.243
Coefficient of determination (R2)0.059

GDP per capita (current US$)
No. of data19
Regression equation
Y = 63907.182202 X +2110.782
Correlation coefficient (r)0.197
Coefficient of determination (R2)0.039

Life expectancy at birth - Both sexes (years)
No. of data19
Regression equation
Y = -1.431262 X +83.094
Correlation coefficient (r)-0.053
Coefficient of determination (R2)0.003

Fertility rate, total (births per woman)
No. of data19
Regression equation
Y = 1.411383 X +0.322
Correlation coefficient (r)0.273
Coefficient of determination (R2)0.075

Suicide, age-standardized (per 100 000 population)
No. of data19
Regression equation
Y = -14.481561 X +22.621
Correlation coefficient (r)-0.322
Coefficient of determination (R2)0.104