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Question: All things considered, how satisfied are you with your (main) job?
Choices: "Completely satisfied" "Very satisfied" "Fairly satisfied" "Neither satisfied nor dissatisfied" "Fairly dissatisfied" "Very dissatisfied" "Completely dissatisfied"
Average score (as "Completely satisfied"=7 "Very satisfied"=6 "Fairly satisfied"=5 "Neither satisfied nor dissatisfied"=4 "Fairly dissatisfied"=3 "Very dissatisfied"=2 "Completely dissatisfied"=1)
Period:
Area:
41 countries/ areas
Highlight:
1 Mexico5.80
2 Venezuela5.64
3 Switzerland 5.57
4 Iceland5.53
4 Philippines5.53
6 Argentina5.50
7 Denmark5.42
8 Austria5.40
9 United States5.39
10 Norway5.37
11 Netherlands5.33
12 Slovenia5.30
13 Canada5.29
13 Chile5.29
15 Belgium5.26
15 Israel5.26
17 Sweden5.24
18 Germany5.22
19 Bulgaria5.21
19 Poland5.21
21 Australia5.19
22 Croatia5.18
22 Finland5.18
24 Ireland5.15
24 United Kingdom5.15
26 Portugal5.12
26 Slovakia5.12
28 France5.10
28 Spain5.10
30 India5.09
31 Hungary5.07
31 Taiwan5.07
33 Latvia5.05
34 South Africa5.01
35 Turkiye5.00
36 Czech Republic4.99
37 Russian Federation4.92
38 Republic of Korea4.80
39 Lithuania4.73
40 China4.64
41 Japan4.56

Note
Those who do not work/ Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany.

No data for 197 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data41
Regression equation
Y = 0.966643 X +1.418
Correlation coefficient (r)0.282
Coefficient of determination (R2)0.080

GDP per capita (current US$)
No. of data41
Regression equation
Y = 21891.763687 X -76917.215
Correlation coefficient (r)0.215
Coefficient of determination (R2)0.046

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 0.354558 X +76.832
Correlation coefficient (r)0.020
Coefficient of determination (R2)0.000

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.497738 X -0.910
Correlation coefficient (r)0.340
Coefficient of determination (R2)0.116

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = -11.096713 X +70.655
Correlation coefficient (r)-0.466
Coefficient of determination (R2)0.217