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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:
32 countries/ areas
Highlight:
1 Russian Federation62.6%
2 Bulgaria59.5%
3 Slovakia54.5%
4 India48.9%
5 South Africa46.0%
6 Czech Republic44.3%
7 Hungary36.7%
8 Croatia34.8%
9 Philippines30.8%
10 Israel27.8%
11 Poland27.2%
12 Thailand25.9%
13 Greece23.8%
14 Lithuania23.3%
15 Italy22.9%
16 Taiwan20.4%
17 Slovenia18.1%
18 New Zealand17.6%
19 United States11.9%
20 Australia10.9%
21 Austria10.2%
22 Japan 6.6%
23 Germany6.2%
24 Switzerland4.3%
25 Denmark4.2%
25 Spain4.2%
27 France3.2%
28 Netherlands2.5%
29 Norway2.2%
30 Iceland1.8%
31 Sweden1.4%
32 Finland0.9%

Note
Can't choose/ No answer are excluded.

No data for 206 countries.

Source
ISSP 2022

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data32
Regression equation
Y = -2.809443 X +7.162
Correlation coefficient (r)-0.722
Coefficient of determination (R2)0.521

Life satisfaction (10 steps)
No. of data32
Regression equation
Y = -2.953903 X +7.182
Correlation coefficient (r)-0.715
Coefficient of determination (R2)0.511

GDP per capita (current US$)
No. of data32
Regression equation
Y = -104154.364119 X +64964.149
Correlation coefficient (r)-0.728
Coefficient of determination (R2)0.530

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = -17.044536 X +83.335
Correlation coefficient (r)-0.714
Coefficient of determination (R2)0.510

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = 0.612652 X +1.383
Correlation coefficient (r)0.329
Coefficient of determination (R2)0.108

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = 2.337092 X +10.215
Correlation coefficient (r)0.107
Coefficient of determination (R2)0.011