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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:
32 countries/ areas
Highlight:
1 Japan 58.1%
2 Slovenia55.7%
3 Norway51.1%
4 Lithuania50.9%
5 Israel50.8%
6 Greece48.1%
7 Thailand47.0%
8 New Zealand45.3%
9 Switzerland44.2%
10 Austria43.1%
11 Australia42.7%
12 Finland42.3%
13 Croatia41.1%
14 Denmark40.8%
15 United States39.1%
16 Iceland38.6%
17 Italy38.2%
18 Hungary37.3%
19 Czech Republic37.1%
20 Germany36.1%
21 Poland35.0%
22 India32.8%
23 Netherlands32.3%
24 Spain29.8%
25 Slovakia29.7%
26 Bulgaria29.4%
27 South Africa28.6%
28 Philippines25.1%
29 France23.6%
30 Taiwan23.3%
31 Sweden19.5%
32 Russian Federation17.8%

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 = 1.900665 X +5.819
Correlation coefficient (r)0.255
Coefficient of determination (R2)0.065

Life satisfaction (10 steps)
No. of data32
Regression equation
Y = 1.641165 X +5.928
Correlation coefficient (r)0.234
Coefficient of determination (R2)0.055

Life satisfaction (10 steps)
No. of data32
Regression equation
Y = 1.667115 X +5.943
Correlation coefficient (r)0.240
Coefficient of determination (R2)0.058

GDP per capita (current US$)
No. of data32
Regression equation
Y = 70102.332860 X +19571.099
Correlation coefficient (r)0.252
Coefficient of determination (R2)0.064

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = 18.385003 X +72.739
Correlation coefficient (r)0.412
Coefficient of determination (R2)0.170

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = -0.396898 X +1.644
Correlation coefficient (r)-0.112
Coefficient of determination (R2)0.013

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = 0.383921 X +10.576
Correlation coefficient (r)0.009
Coefficient of determination (R2)0.000