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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 25-36 months
Period:
Area:
31 countries/ areas
Highlight:
1 Slovakia70.6%
2 Czech Republic62.6%
3 Austria44.1%
4 Hungary40.1%
5 Lithuania32.3%
6 Latvia24.5%
7 Poland15.8%
8 France14.0%
9 Finland 12.7%
9 Germany12.7%
11 Belgium5.8%
12 Sweden4.9%
13 Spain4.5%
14 Republic of Korea4.3%
15 Japan4.0%
16 Portugal3.7%
17 Norway1.9%
18 Iceland1.3%
19 Canada1.2%
19 Ireland1.2%
19 Mexico1.2%
22 Israel1.1%
23 Turkiye1.0%
24 Slovenia0.9%
25 Switzerland0.8%
26 Netherlands0.7%
27 Australia0.5%
27 Chile0.5%
29 Denmark0.3%
29 United Kingdom0.3%
29 United States0.3%

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

No data for 7 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -0.559901 X +6.813
Correlation coefficient (r)-0.200
Coefficient of determination (R2)0.040

Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -0.615880 X +6.806
Correlation coefficient (r)-0.215
Coefficient of determination (R2)0.046

Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -0.504643 X +6.787
Correlation coefficient (r)-0.165
Coefficient of determination (R2)0.027

GDP per capita (current US$)
No. of data30
Regression equation
Y = -52805.061110 X +57312.036
Correlation coefficient (r)-0.389
Coefficient of determination (R2)0.151

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = -5.993497 X +81.725
Correlation coefficient (r)-0.433
Coefficient of determination (R2)0.187

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = -0.172136 X +1.466
Correlation coefficient (r)-0.097
Coefficient of determination (R2)0.009

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = 1.593220 X +10.142
Correlation coefficient (r)0.082
Coefficient of determination (R2)0.007