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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:
31 countries/ areas
Highlight:
1 Japan 61.8%
2 United Kingdom54.2%
3 Norway52.5%
4 Finland52.4%
5 Australia51.4%
6 Ireland51.0%
7 Iceland49.6%
8 Portugal48.4%
9 Denmark47.5%
10 Republic of Korea46.7%
11 Canada44.4%
12 Slovenia43.3%
13 Chile42.5%
14 Switzerland41.3%
15 Belgium40.9%
16 Netherlands40.2%
17 Austria40.0%
18 France36.9%
19 Lithuania35.0%
20 Germany34.9%
21 Spain33.3%
22 Poland32.7%
23 United States30.4%
24 Sweden28.2%
25 Latvia25.9%
25 Turkiye25.9%
27 Hungary22.4%
28 Israel21.9%
29 Czech Republic21.5%
30 Slovakia20.0%
31 Mexico15.7%

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 = 1.712097 X +6.089
Correlation coefficient (r)0.304
Coefficient of determination (R2)0.092

GDP per capita (current US$)
No. of data31
Regression equation
Y = 102737.585174 X +5531.132
Correlation coefficient (r)0.501
Coefficient of determination (R2)0.251

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = 16.690508 X +73.988
Correlation coefficient (r)0.702
Coefficient of determination (R2)0.493

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = -1.306549 X +2.095
Correlation coefficient (r)-0.471
Coefficient of determination (R2)0.222

Suicide - all ages (per 100,000 population)
No. of data31
Regression equation
Y = 7.496861 X +10.370
Correlation coefficient (r)0.162
Coefficient of determination (R2)0.026