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Question: Consider a family with a child under school age. What, in your opinion, is the least desirable 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 father stays at home and the mother works full-time."
Period:
Area:
40 countries/ areas
Highlight:
1 Turkiye74.8%
2 Chile65.7%
3 Bulgaria64.7%
4 Philippines64.4%
5 China62.8%
6 Venezuela59.6%
7 Portugal56.4%
8 Argentina55.9%
9 Republic of Korea52.5%
10 Israel50.0%
10 Lithuania50.0%
12 Czech Republic47.5%
13 Slovenia47.4%
14 Hungary46.9%
15 Slovakia46.4%
16 Croatia45.4%
17 Mexico45.1%
18 Latvia42.1%
19 Poland41.9%
20 United States37.5%
21 Taiwan36.5%
22 South Africa34.4%
23 Iceland33.3%
24 Russian Federation30.4%
25 France28.8%
26 Japan27.2%
27 Austria27.1%
28 Switzerland26.4%
29 Belgium24.6%
30 India21.4%
31 Canada19.6%
32 Germany19.1%
33 Denmark18.2%
34 Norway17.8%
35 Finland 16.9%
36 Australia14.5%
37 United Kingdom14.1%
38 Netherlands13.3%
39 Ireland12.7%
40 Sweden12.4%

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

No data for 198 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data40
Regression equation
Y = -2.798240 X +7.491
Correlation coefficient (r)-0.558
Coefficient of determination (R2)0.311

GDP per capita (current US$)
No. of data40
Regression equation
Y = -104326.490335 X +76241.399
Correlation coefficient (r)-0.699
Coefficient of determination (R2)0.489

Life expectancy at birth - Both sexes (years)
No. of data39
Regression equation
Y = -9.814280 X +82.279
Correlation coefficient (r)-0.388
Coefficient of determination (R2)0.151

Fertility rate, total (births per woman)
No. of data39
Regression equation
Y = 0.593888 X +1.465
Correlation coefficient (r)0.284
Coefficient of determination (R2)0.081

Suicide - all ages (per 100,000 population)
No. of data39
Regression equation
Y = -7.961647 X +16.112
Correlation coefficient (r)-0.232
Coefficient of determination (R2)0.054