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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:
40 countries/ areas
Highlight:
1 Bulgaria95.4%
2 United States92.9%
3 Cyprus92.0%
4 Austria91.5%
5 Switzerland89.3%
6 Germany89.1%
7 Croatia87.7%
8 Lithuania87.5%
9 Taiwan87.0%
10 New Zealand86.3%
11 Philippines86.2%
12 Italy86.0%
13 Hungary85.7%
14 Sweden85.4%
15 Iceland85.2%
16 Slovakia84.3%
17 Poland84.1%
18 Czech Republic83.5%
19 Turkiye83.1%
19 Ukraine83.1%
21 South Africa83.0%
22 Estonia82.4%
22 Russian Federation82.4%
24 Chile82.3%
25 Argentina81.7%
25 Republic of Korea81.7%
27 Belgium81.3%
28 Latvia80.4%
29 Israel80.3%
30 Japan 79.8%
31 Slovenia78.9%
32 Finland78.0%
33 China77.3%
34 United Kingdom76.9%
35 Australia76.7%
36 Spain75.5%
37 Norway75.0%
38 France74.6%
39 Venezuela70.1%
40 Denmark60.1%

Note
Can't choose/ No answer are excluded.

No data for 198 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data40
Regression equation
Y = -2.083460 X +8.182
Correlation coefficient (r)-0.200
Coefficient of determination (R2)0.040

GDP per capita (current US$)
No. of data40
Regression equation
Y = -31632.674668 X +61926.592
Correlation coefficient (r)-0.083
Coefficient of determination (R2)0.007

Life expectancy at birth - Both sexes (years)
No. of data39
Regression equation
Y = -12.775512 X +88.694
Correlation coefficient (r)-0.159
Coefficient of determination (R2)0.025

Fertility rate, total (births per woman)
No. of data39
Regression equation
Y = -0.570417 X +2.108
Correlation coefficient (r)-0.092
Coefficient of determination (R2)0.008

Suicide, age-standardized (per 100 000 population)
No. of data39
Regression equation
Y = 7.475927 X +4.424
Correlation coefficient (r)0.093
Coefficient of determination (R2)0.009