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Question: If both are in a similar work situation and are eligible for paid leave, how should this paid leave period be divided between the mother and the father?
Choices: "The mother should take the entire paid leave period and the father should not take any paid leave." "The mother should take most of the paid leave period and the father should take some of it." "The mother and the father should each take half of the paid leave period." "The father should take most of the paid leave period and the mother should take some of it." "The father should take the entire paid leave period and the mother should not take any paid leave."
Data: % of "The mother should take the entire paid leave period and the father should not take any paid leave." "The mother should take most of the paid leave period and the father should take some of it."
Period:
Area:
9 countries/ areas
Highlight:
1 Japan61.8%
2 United Kingdom54.2%
3 Australia51.4%
4 Republic of Korea46.7%
5 Canada44.4%
6 France 36.9%
7 Germany34.9%
8 United States30.4%
9 Sweden28.2%

Note
Those who do not think that parental leave is necessary/ Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany.

No data for 1 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data9
Regression equation
Y = -1.914087 X +7.518
Correlation coefficient (r)-0.520
Coefficient of determination (R2)0.270

GDP per capita (current US$)
No. of data9
Regression equation
Y = -62738.451579 X +77690.093
Correlation coefficient (r)-0.503
Coefficient of determination (R2)0.253

Life expectancy at birth - Both sexes (years)
No. of data9
Regression equation
Y = 10.444653 X +77.398
Correlation coefficient (r)0.493
Coefficient of determination (R2)0.243

Fertility rate, total (births per woman)
No. of data9
Regression equation
Y = -1.077236 X +1.970
Correlation coefficient (r)-0.406
Coefficient of determination (R2)0.165

Suicide, age-standardized (per 100 000 population)
No. of data9
Regression equation
Y = -1.897738 X +12.672
Correlation coefficient (r)-0.052
Coefficient of determination (R2)0.003