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Question: Whether the person has children to support ? how important do you think that ought to be in deciding pay?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
9 countries/ areas
Highlight:
1 Germany65.5%
2 Italy62.0%
3 Republic of Korea49.1%
4 United States44.1%
5 France36.3%
6 Japan 33.6%
7 United Kingdom29.7%
8 Sweden21.1%
9 Australia19.6%

Note
Can't choose/ No answer are excluded.

No data for 1 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data9
Regression equation
Y = -1.063166 X +7.163
Correlation coefficient (r)-0.351
Coefficient of determination (R2)0.123

GDP per capita (current US$)
No. of data9
Regression equation
Y = -32645.916471 X +62567.306
Correlation coefficient (r)-0.431
Coefficient of determination (R2)0.186

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = -3.043593 X +83.132
Correlation coefficient (r)-0.240
Coefficient of determination (R2)0.058

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -0.730067 X +1.762
Correlation coefficient (r)-0.411
Coefficient of determination (R2)0.169

Suicide - all ages (per 100,000 population)
No. of data9
Regression equation
Y = 0.458002 X +14.027
Correlation coefficient (r)0.012
Coefficient of determination (R2)0.000