Tweet
Question: Considering all sources of income, between you and your spouse/partner, who has the higher income?
Choices: "My spouse/ partner has no income" "I have a much higher income" "I have a higher income" "We have about the same income" "My spouse/ partner has a higher income" "My spouse/ partner has a much higher income" "I have no income"
Data: % of women who answer "My spouse/ partner has no income" "I have a much higher income" "I have a higher income"
Period:
Area:
33 countries/ areas
Highlight:
1 Switzerland36.5%
2 Mexico33.5%
3 Australia30.3%
4 United States22.7%
5 Poland22.3%
5 Slovenia22.3%
7 Brazil19.7%
8 Latvia19.5%
8 Sweden19.5%
10 Russian Federation18.9%
11 Hungary18.7%
12 Israel18.6%
13 France18.1%
13 Slovakia18.1%
15 Portugal17.1%
16 Denmark17.0%
17 Germany16.7%
18 Chile16.1%
18 United Kingdom16.1%
20 Czech Republic16.0%
21 Taiwan14.7%
22 Bulgaria14.3%
23 Norway12.9%
24 Finland 12.5%
25 New Zealand11.0%
26 Austria10.0%
27 Spain9.9%
28 Ireland9.7%
29 Belgium9.0%
30 Philippines8.3%
31 Netherlands7.1%
32 Cyprus4.6%
33 Japan4.0%

Note
Can't choose/ No answer are excluded. Belgium: Flanders only. Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. United Kingdom: excluding Northern Ireland.

No data for 205 countries.

Source
ISSP 2002

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data33
Regression equation
Y = 0.545625 X +6.589
Correlation coefficient (r)0.064
Coefficient of determination (R2)0.004

GDP per capita (current US$)
No. of data33
Regression equation
Y = 12124.081137 X +39088.088
Correlation coefficient (r)0.035
Coefficient of determination (R2)0.001

Life expectancy at birth - Both sexes (years)
No. of data32
Regression equation
Y = -7.325227 X +80.819
Correlation coefficient (r)-0.154
Coefficient of determination (R2)0.024

Fertility rate, total (births per woman)
No. of data32
Regression equation
Y = 0.682157 X +1.514
Correlation coefficient (r)0.157
Coefficient of determination (R2)0.025

Suicide - all ages (per 100,000 population)
No. of data32
Regression equation
Y = 10.182780 X +10.454
Correlation coefficient (r)0.154
Coefficient of determination (R2)0.024