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Question: Have you ever remained or would you remain in a job that was not satisfying for you for the benefit of your family life?
Choices: "Yes, I have done so and probably would do so again" "Yes, I have done so but probably would not do so again" "No, I have not done so but probably would do so" "No, I have not done so and probably would not do so"
Data: % of "Yes, I have done so and probably would do so again" "Yes, I have done so but probably would not do so again"
Period:
Area:
27 countries/ areas
Highlight:
1 Australia61.0%
2 Japan57.9%
3 United States52.6%
4 United Kingdom51.6%
5 Latvia48.1%
6 Chile45.6%
7 Poland45.0%
8 New Zealand44.7%
9 Spain41.0%
10 Israel39.2%
11 Mexico37.9%
12 France37.8%
12 Iceland37.8%
14 Sweden37.7%
15 Belgium34.1%
16 Slovakia33.8%
17 Czech Republic32.5%
18 Denmark31.8%
19 Estonia30.7%
20 Lithuania29.6%
21 Germany27.8%
22 Slovenia26.5%
23 Norway26.3%
24 Hungary25.4%
25 Switzerland25.3%
26 Finland 21.6%
27 Austria20.0%

Note
Can't choose/ No answer are excluded.

No data for 11 countries.

Source
ISSP 2015

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -1.199292 X +7.256
Correlation coefficient (r)-0.284
Coefficient of determination (R2)0.081

GDP per capita (current US$)
No. of data27
Regression equation
Y = -23513.157331 X +53537.723
Correlation coefficient (r)-0.105
Coefficient of determination (R2)0.011

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 1.111987 X +79.294
Correlation coefficient (r)0.031
Coefficient of determination (R2)0.001

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.041928 X +1.621
Correlation coefficient (r)0.014
Coefficient of determination (R2)0.000

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -2.288792 X +11.499
Correlation coefficient (r)-0.073
Coefficient of determination (R2)0.005