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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 = 0.635912 X +4.190
Correlation coefficient (r)0.291
Coefficient of determination (R2)0.085

GDP per capita (current US$)
No. of data24
Regression equation
Y = 34422.889628 X -97235.494
Correlation coefficient (r)0.360
Coefficient of determination (R2)0.130

Life expectancy at birth - Both sexes (years)
No. of data24
Regression equation
Y = -0.710525 X +83.893
Correlation coefficient (r)-0.066
Coefficient of determination (R2)0.004

Fertility rate, total (births per woman)
No. of data24
Regression equation
Y = 0.336508 X +0.181
Correlation coefficient (r)0.255
Coefficient of determination (R2)0.065

Suicide - all ages (per 100,000 population)
No. of data24
Regression equation
Y = -9.628377 X +53.931
Correlation coefficient (r)-0.591
Coefficient of determination (R2)0.349