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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:
24 countries/ areas
Highlight:
1 Slovakia54.5%
2 Czech Republic44.3%
3 Hungary36.7%
4 Israel27.8%
5 Poland27.2%
6 Greece23.8%
7 Lithuania23.3%
8 Italy22.9%
9 Slovenia18.1%
10 New Zealand17.6%
11 United States11.9%
12 Australia10.9%
13 Austria10.2%
14 Japan 6.6%
15 Germany6.2%
16 Switzerland4.3%
17 Denmark4.2%
17 Spain4.2%
19 France3.2%
20 Netherlands2.5%
21 Norway2.2%
22 Iceland1.8%
23 Sweden1.4%
24 Finland0.9%

Note
Can't choose/ No answer are excluded.

No data for 14 countries.

Source
ISSP 2022

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data24
Regression equation
Y = -1.768354 X +7.108
Correlation coefficient (r)-0.522
Coefficient of determination (R2)0.272

Life satisfaction (10 steps)
No. of data24
Regression equation
Y = -1.813688 X +7.097
Correlation coefficient (r)-0.530
Coefficient of determination (R2)0.281

Life satisfaction (10 steps)
No. of data24
Regression equation
Y = -1.779001 X +7.109
Correlation coefficient (r)-0.511
Coefficient of determination (R2)0.261

GDP per capita (current US$)
No. of data24
Regression equation
Y = -97904.935536 X +66783.933
Correlation coefficient (r)-0.624
Coefficient of determination (R2)0.389

Life expectancy at birth - Both sexes (years)
No. of data24
Regression equation
Y = -9.375268 X +82.953
Correlation coefficient (r)-0.610
Coefficient of determination (R2)0.372

Fertility rate, total (births per woman)
No. of data24
Regression equation
Y = 0.368699 X +1.402
Correlation coefficient (r)0.163
Coefficient of determination (R2)0.027

Suicide, age-standardized (per 100 000 population)
No. of data24
Regression equation
Y = -4.367016 X +10.857
Correlation coefficient (r)-0.194
Coefficient of determination (R2)0.038