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Question: Consider a couple who both work full-time and now have a new born child. One of them stops working for some time to care for their child. Do you think there should be paid leave available and, if so, for how long?
Choices: "Yes, (write number) months" "No, there should be no paid leave"
Data: % of those who write 1-6 months
Period:
Area:
41 countries/ areas
Highlight:
1 Philippines85.6%
2 South Africa83.4%
3 United States65.8%
4 Switzerland65.1%
5 Israel63.8%
6 Argentina61.9%
7 Chile55.5%
8 Netherlands52.2%
8 Republic of Korea52.2%
10 Venezuela51.4%
11 Mexico51.2%
12 Portugal50.2%
13 Turkiye45.9%
14 Belgium45.5%
15 China45.1%
16 United Kingdom42.1%
17 India40.5%
18 Japan 39.4%
19 Spain38.3%
20 Ireland35.6%
21 Australia35.2%
22 Denmark33.5%
23 Taiwan31.4%
24 France27.4%
25 Canada25.4%
26 Finland20.4%
27 Poland19.4%
28 Hungary18.0%
29 Iceland16.0%
30 Germany14.9%
31 Norway11.8%
32 Slovenia9.7%
33 Latvia6.0%
34 Sweden5.4%
35 Croatia5.3%
36 Austria3.4%
37 Lithuania2.8%
38 Bulgaria2.6%
39 Czech Republic1.9%
39 Russian Federation1.9%
41 Slovakia1.7%

Note
Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany.

No data for 197 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data41
Regression equation
Y = -0.517822 X +6.671
Correlation coefficient (r)-0.176
Coefficient of determination (R2)0.031

Life satisfaction (10 steps)
No. of data41
Regression equation
Y = -0.524888 X +6.651
Correlation coefficient (r)-0.167
Coefficient of determination (R2)0.028

GDP per capita (current US$)
No. of data41
Regression equation
Y = -6860.062742 X +42988.418
Correlation coefficient (r)-0.058
Coefficient of determination (R2)0.003

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -3.741210 X +80.612
Correlation coefficient (r)-0.209
Coefficient of determination (R2)0.044

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.507696 X +1.336
Correlation coefficient (r)0.337
Coefficient of determination (R2)0.114

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -2.187846 X +11.135
Correlation coefficient (r)-0.127
Coefficient of determination (R2)0.016