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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 "The mother works part-time and the father works full-time."
Period:
Area:
41 countries/ areas
Highlight:
1 Ireland52.2%
2 Israel51.2%
3 Germany50.4%
4 Belgium50.1%
5 Chile49.3%
6 Portugal49.0%
7 France48.9%
8 Denmark47.6%
9 United Kingdom47.4%
10 Australia45.7%
11 Iceland45.6%
12 Finland44.1%
13 Republic of Korea42.8%
14 United States42.6%
15 Norway42.4%
16 Spain42.2%
17 Slovenia42.0%
18 Switzerland40.0%
19 Austria39.9%
20 Canada39.8%
21 Croatia39.5%
22 Argentina37.7%
23 Japan 37.2%
23 Venezuela37.2%
25 Taiwan33.8%
26 Bulgaria32.7%
27 Netherlands32.6%
28 Hungary32.4%
29 Sweden32.2%
30 Lithuania31.9%
31 Poland31.7%
32 Latvia30.3%
33 Russian Federation30.2%
34 Slovakia29.5%
35 Czech Republic28.7%
36 China26.5%
37 South Africa26.2%
38 Philippines25.5%
39 India25.0%
40 Mexico23.3%
41 Turkiye19.9%

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 = 4.523515 X +4.758
Correlation coefficient (r)0.540
Coefficient of determination (R2)0.292

GDP per capita (current US$)
No. of data41
Regression equation
Y = 184806.263910 X -32617.735
Correlation coefficient (r)0.600
Coefficient of determination (R2)0.360

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 42.341766 X +61.882
Correlation coefficient (r)0.690
Coefficient of determination (R2)0.476

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -0.507136 X +1.865
Correlation coefficient (r)-0.115
Coefficient of determination (R2)0.013

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -2.883220 X +11.584
Correlation coefficient (r)-0.052
Coefficient of determination (R2)0.003