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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 "Both the mother and the father work full-time."
Period:
Area:
41 countries/ areas
Highlight:
1 Australia65.2%
2 United Kingdom62.4%
3 Netherlands60.2%
4 Ireland59.5%
5 Austria57.9%
6 Sweden56.2%
7 Germany55.2%
8 Spain50.0%
9 Switzerland49.2%
10 Finland 49.0%
11 Canada48.5%
12 Denmark47.8%
13 Japan47.0%
14 Norway46.7%
15 Belgium43.0%
16 Taiwan40.1%
17 Iceland37.5%
18 United States36.3%
19 France33.9%
20 Republic of Korea33.0%
21 Latvia32.9%
22 Croatia32.1%
23 Argentina30.8%
24 Portugal28.7%
25 Slovenia27.9%
26 Czech Republic27.8%
27 Lithuania27.4%
28 Poland25.6%
29 Hungary24.9%
30 Slovakia24.8%
31 Israel23.6%
32 China23.4%
33 Bulgaria18.6%
34 Russian Federation18.2%
35 Venezuela17.1%
36 South Africa16.4%
37 Mexico16.3%
38 India12.9%
39 Chile12.8%
40 Philippines8.1%
41 Turkiye4.8%

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 = 3.993636 X +5.042
Correlation coefficient (r)0.742
Coefficient of determination (R2)0.551

GDP per capita (current US$)
No. of data41
Regression equation
Y = 125644.640390 X -7133.298
Correlation coefficient (r)0.785
Coefficient of determination (R2)0.616

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 19.019799 X +72.049
Correlation coefficient (r)0.693
Coefficient of determination (R2)0.480

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -1.114541 X +2.066
Correlation coefficient (r)-0.486
Coefficient of determination (R2)0.236

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = 4.155279 X +11.530
Correlation coefficient (r)0.111
Coefficient of determination (R2)0.012