Tweet
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 Finland 44.1%
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 Japan37.2%
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 = 5.831754 X +4.224
Correlation coefficient (r)0.588
Coefficient of determination (R2)0.346

GDP per capita (current US$)
No. of data41
Regression equation
Y = 182781.005787 X -32618.630
Correlation coefficient (r)0.620
Coefficient of determination (R2)0.384

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 34.071645 X +65.699
Correlation coefficient (r)0.673
Coefficient of determination (R2)0.453

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -1.037346 X +2.073
Correlation coefficient (r)-0.245
Coefficient of determination (R2)0.060

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = 1.854998 X +12.271
Correlation coefficient (r)0.027
Coefficient of determination (R2)0.001