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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:
29 countries/ areas
Highlight:
1 United States92.9%
2 Austria 91.5%
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 Japan79.8%
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 = -1.926704 X +8.289
Correlation coefficient (r)-0.213
Coefficient of determination (R2)0.045

GDP per capita (current US$)
No. of data29
Regression equation
Y = -31588.131531 X +69881.814
Correlation coefficient (r)-0.085
Coefficient of determination (R2)0.007

Life expectancy at birth - Both sexes (years)
No. of data29
Regression equation
Y = -14.316579 X +91.883
Correlation coefficient (r)-0.263
Coefficient of determination (R2)0.069

Fertility rate, total (births per woman)
No. of data29
Regression equation
Y = -0.475281 X +1.987
Correlation coefficient (r)-0.087
Coefficient of determination (R2)0.008

Suicide, age-standardized (per 100 000 population)
No. of data29
Regression equation
Y = 11.973870 X +0.874
Correlation coefficient (r)0.182
Coefficient of determination (R2)0.033