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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 Australia58.9%
2 Japan55.8%
3 United States54.4%
4 Latvia51.6%
5 United Kingdom50.7%
6 New Zealand47.1%
7 Poland45.0%
8 Chile 41.9%
9 Israel41.2%
10 Spain40.8%
11 France40.5%
12 Sweden38.6%
13 Estonia36.9%
14 Mexico36.2%
15 Slovakia36.0%
16 Czech Republic35.7%
17 Iceland35.6%
18 Belgium35.1%
18 Denmark35.1%
20 Lithuania33.4%
21 Slovenia29.6%
22 Germany29.5%
23 Norway28.5%
24 Switzerland28.0%
25 Hungary26.4%
26 Austria23.4%
27 Finland22.6%

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 = -1.394047 X +7.347
Correlation coefficient (r)-0.298
Coefficient of determination (R2)0.089

GDP per capita (current US$)
No. of data27
Regression equation
Y = -24384.816751 X +54179.530
Correlation coefficient (r)-0.099
Coefficient of determination (R2)0.010

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -0.116827 X +79.752
Correlation coefficient (r)-0.003
Coefficient of determination (R2)0.000

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.118941 X +1.591
Correlation coefficient (r)0.037
Coefficient of determination (R2)0.001

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -0.147975 X +10.705
Correlation coefficient (r)-0.004
Coefficient of determination (R2)0.000