Tweet
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 and the father should each take half of the paid leave period."
Period:
Area:
24 countries/ areas
Highlight:
1 Sweden78.9%
2 France73.1%
3 Spain65.8%
4 Netherlands65.0%
5 Iceland59.4%
6 Germany57.5%
7 Finland56.6%
8 Denmark54.8%
9 Switzerland51.2%
10 United States48.6%
11 Norway46.7%
12 Austria46.5%
13 Australia45.3%
14 Italy38.2%
15 Poland37.7%
16 New Zealand37.0%
17 Japan 35.0%
18 Greece28.0%
19 Slovenia26.0%
20 Hungary25.6%
21 Lithuania25.1%
22 Israel21.1%
23 Czech Republic18.3%
24 Slovakia15.6%

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 = 1.322218 X +6.237
Correlation coefficient (r)0.465
Coefficient of determination (R2)0.216

Life satisfaction (10 steps)
No. of data24
Regression equation
Y = 1.263087 X +6.281
Correlation coefficient (r)0.437
Coefficient of determination (R2)0.191

GDP per capita (current US$)
No. of data24
Regression equation
Y = 67031.464226 X +22308.726
Correlation coefficient (r)0.513
Coefficient of determination (R2)0.263

Life expectancy at birth - Both sexes (years)
No. of data24
Regression equation
Y = 5.842176 X +78.948
Correlation coefficient (r)0.458
Coefficient of determination (R2)0.210

Fertility rate, total (births per woman)
No. of data24
Regression equation
Y = -0.358503 X +1.616
Correlation coefficient (r)-0.191
Coefficient of determination (R2)0.036

Suicide, age-standardized (per 100 000 population)
No. of data24
Regression equation
Y = 1.192115 X +9.665
Correlation coefficient (r)0.064
Coefficient of determination (R2)0.004