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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 stays at home and the father works full-time."
Period:
Area:
41 countries/ areas
Highlight:
1 Turkiye71.1%
2 Russian Federation62.5%
3 Philippines59.4%
4 Lithuania59.2%
5 Latvia59.1%
6 Czech Republic58.2%
7 Japan57.8%
8 Slovakia57.0%
9 China56.8%
10 India55.3%
11 Bulgaria54.7%
11 Hungary54.7%
13 Taiwan51.8%
14 South Africa50.9%
15 Mexico50.4%
16 Argentina48.1%
17 Venezuela46.6%
18 Austria46.0%
19 Poland45.8%
20 Republic of Korea42.2%
21 United Kingdom42.0%
22 Australia41.4%
23 United States38.8%
24 Canada36.0%
25 Croatia34.6%
26 Chile32.7%
27 Ireland29.1%
28 Israel28.2%
29 Switzerland26.2%
30 Spain25.8%
31 Portugal23.3%
32 Germany23.2%
33 Slovenia22.7%
34 Belgium21.9%
35 France21.3%
36 Netherlands20.0%
37 Finland19.7%
38 Sweden10.8%
39 Norway9.5%
40 Iceland6.5%
41 Denmark 5.7%

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 = -2.890738 X +7.609
Correlation coefficient (r)-0.682
Coefficient of determination (R2)0.465

GDP per capita (current US$)
No. of data41
Regression equation
Y = -104391.346960 X +80033.828
Correlation coefficient (r)-0.678
Coefficient of determination (R2)0.460

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -15.986454 X +84.918
Correlation coefficient (r)-0.580
Coefficient of determination (R2)0.336

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.337658 X +1.479
Correlation coefficient (r)0.150
Coefficient of determination (R2)0.022

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = 2.044640 X +9.691
Correlation coefficient (r)0.072
Coefficient of determination (R2)0.005