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Question: How satisfied are you in your (main) job?
Choices: "Completely satisfied" "Very satisfied" "Fairly satisfied" "Neither satisfied nor dissatisfied" "Fairly dissatisfied" "Very dissatisfied" "Completely dissatisfied"
Average of the satisfaction score (as "Completely satisfied"=6 "Very satisfied"=5 "Fairly satisfied"=4 "Neither satisfied nor dissatisfied"=3 "Fairly dissatisfied"=2 "Very dissatisfied"=1 "Completely dissatisfied"=0)
Period:
Area:
24 countries/ areas
Highlight:
1 Mexico4.87
2 Switzerland4.71
3 Ireland4.63
4 Denmark4.51
5 United States4.47
6 Germany4.42
6 Israel4.42
8 Canada4.31
8 Finland4.31
10 Portugal4.29
11 Norway4.28
12 United Kingdom4.27
13 Netherlands4.26
14 New Zealand4.24
14 Spain4.24
16 Australia4.18
17 Hungary4.16
17 Sweden4.16
19 Czech Republic4.09
20 Slovenia4.07
21 France3.97
22 Belgium3.96
23 Japan 3.95
24 Latvia3.89

Note
Those who do not work, Can't choose/ No answer are excluded. Belgium: Flanders only. Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. United Kingdom: excluding Northern Ireland.

No data for 14 countries.

Source
ISSP 2005

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data24
Regression equation
Y = 0.592547 X +4.308
Correlation coefficient (r)0.308
Coefficient of determination (R2)0.095

GDP per capita (current US$)
No. of data24
Regression equation
Y = 39596.430008 X -118738.438
Correlation coefficient (r)0.379
Coefficient of determination (R2)0.144

Life expectancy at birth - Both sexes (years)
No. of data24
Regression equation
Y = -2.379081 X +90.797
Correlation coefficient (r)-0.160
Coefficient of determination (R2)0.026

Fertility rate, total (births per woman)
No. of data24
Regression equation
Y = 0.252952 X +0.567
Correlation coefficient (r)0.188
Coefficient of determination (R2)0.035

Suicide, age-standardized (per 100 000 population)
No. of data24
Regression equation
Y = -6.682686 X +38.707
Correlation coefficient (r)-0.537
Coefficient of determination (R2)0.288