Tweet
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:
29 countries/ areas
Highlight:
1 United States92.9%
2 Austria91.5%
3 Switzerland89.3%
4 Germany89.1%
5 Lithuania87.5%
6 New Zealand86.3%
7 Italy86.0%
8 Hungary85.7%
9 Sweden85.4%
10 Iceland85.2%
11 Slovakia84.3%
12 Poland84.1%
13 Czech Republic83.5%
14 Turkiye83.1%
15 Estonia82.4%
16 Chile82.3%
17 Republic of Korea81.7%
18 Belgium81.3%
19 Latvia80.4%
20 Israel80.3%
21 Japan 79.8%
22 Slovenia78.9%
23 Finland78.0%
24 United Kingdom76.9%
25 Australia76.7%
26 Spain75.5%
27 Norway75.0%
28 France74.6%
29 Denmark60.1%

Note
Can't choose/ No answer are excluded.

No data for 9 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data29
Regression equation
Y = -1.395592 X +7.888
Correlation coefficient (r)-0.134
Coefficient of determination (R2)0.018

GDP per capita (current US$)
No. of data29
Regression equation
Y = -29006.934284 X +67384.030
Correlation coefficient (r)-0.085
Coefficient of determination (R2)0.007

Life expectancy at birth - Both sexes (years)
No. of data29
Regression equation
Y = -12.769440 X +90.953
Correlation coefficient (r)-0.294
Coefficient of determination (R2)0.086

Fertility rate, total (births per woman)
No. of data29
Regression equation
Y = -0.364662 X +1.876
Correlation coefficient (r)-0.070
Coefficient of determination (R2)0.005

Suicide - all ages (per 100,000 population)
No. of data29
Regression equation
Y = 14.347452 X +1.805
Correlation coefficient (r)0.164
Coefficient of determination (R2)0.027