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Question: Consider a family with a child under school age. What, in your opinion, is the best way for them to organise their family and work life?
Choices: "The mother stays at home and the father works full-time." "The mother works part-time and the father works full-time." "Both the mother and the father work full-time." "Both the mother and the father work part-time." "The father works part-time and the mother works full-time." "The father stays at home and the mother works full-time."
Data: % of "Both the mother and the father work part-time."
Period:
Area:
41 countries/ areas
Highlight:
1 Netherlands44.2%
2 Sweden39.2%
3 Switzerland29.7%
4 Iceland26.6%
5 Norway21.5%
6 Spain18.9%
7 Mexico16.4%
8 Denmark15.3%
9 Germany14.7%
10 France14.0%
11 Belgium13.8%
12 Finland12.5%
13 Venezuela11.2%
14 Argentina10.8%
15 Australia10.4%
15 Ireland10.4%
17 Austria10.2%
18 Chile9.0%
19 Portugal8.0%
20 Canada6.2%
21 United States6.1%
22 United Kingdom5.4%
23 Croatia4.8%
23 India4.8%
23 Republic of Korea4.8%
26 Israel4.7%
27 Lithuania4.6%
28 Slovenia3.8%
29 Turkiye2.9%
30 China2.7%
30 Poland2.7%
32 Latvia2.6%
32 Philippines2.6%
34 Czech Republic2.3%
35 South Africa1.8%
36 Taiwan1.7%
37 Russian Federation1.6%
38 Hungary1.3%
39 Japan 1.1%
40 Bulgaria0.8%
40 Slovakia0.8%

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 = 3.926198 X +6.086
Correlation coefficient (r)0.538
Coefficient of determination (R2)0.289

GDP per capita (current US$)
No. of data41
Regression equation
Y = 144091.447575 X +23272.388
Correlation coefficient (r)0.536
Coefficient of determination (R2)0.287

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 24.157357 X +75.560
Correlation coefficient (r)0.450
Coefficient of determination (R2)0.203

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -0.232241 X +1.696
Correlation coefficient (r)-0.060
Coefficient of determination (R2)0.004

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -6.447775 X +11.139
Correlation coefficient (r)-0.132
Coefficient of determination (R2)0.017