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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."
Period:
Area:
31 countries/ areas
Highlight:
1 Slovakia72.0%
2 Czech Republic69.0%
3 Hungary67.9%
4 Turkiye60.2%
5 Latvia59.8%
6 Israel56.6%
7 Lithuania54.2%
8 Mexico47.6%
9 Slovenia41.4%
10 Austria37.9%
11 Poland33.6%
12 Spain33.5%
13 Chile33.3%
14 United States32.4%
15 Portugal25.6%
16 Canada24.4%
17 Republic of Korea22.1%
18 United Kingdom22.0%
19 Australia21.3%
20 Japan 19.8%
21 Switzerland19.6%
22 Ireland19.0%
23 Germany15.6%
24 Belgium15.1%
25 France14.4%
26 Netherlands11.9%
27 Denmark5.3%
28 Norway4.5%
29 Finland3.3%
30 Iceland2.9%
31 Sweden1.4%

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 7 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -1.497219 X +7.184
Correlation coefficient (r)-0.552
Coefficient of determination (R2)0.305

Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -1.435842 X +7.172
Correlation coefficient (r)-0.566
Coefficient of determination (R2)0.320

Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -1.378673 X +7.168
Correlation coefficient (r)-0.556
Coefficient of determination (R2)0.309

GDP per capita (current US$)
No. of data30
Regression equation
Y = -78382.655154 X +78592.889
Correlation coefficient (r)-0.564
Coefficient of determination (R2)0.318

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = -8.495316 X +83.832
Correlation coefficient (r)-0.697
Coefficient of determination (R2)0.486

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = 0.272206 X +1.336
Correlation coefficient (r)0.170
Coefficient of determination (R2)0.029

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = -3.528677 X +11.411
Correlation coefficient (r)-0.204
Coefficient of determination (R2)0.042