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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 men 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 Japan92.8%
2 Netherlands84.6%
3 Switzerland82.9%
4 Spain82.8%
5 Cyprus82.3%
6 Germany81.0%
7 Austria80.7%
8 Chile79.2%
9 Mexico78.3%
10 Belgium76.9%
10 Taiwan76.9%
12 Norway76.2%
13 Czech Republic75.1%
14 Portugal74.6%
15 Brazil74.4%
16 United Kingdom74.3%
17 France74.1%
18 United States73.0%
19 Ireland70.6%
20 Slovakia69.1%
21 Sweden67.3%
22 Hungary66.7%
23 Israel66.4%
24 Philippines65.1%
25 Denmark64.1%
26 Poland64.0%
27 Australia63.9%
28 Finland 63.6%
29 New Zealand62.3%
30 Russian Federation59.7%
31 Latvia58.8%
31 Slovenia58.8%
33 Bulgaria56.8%

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 = 0.886991 X +6.041
Correlation coefficient (r)0.124
Coefficient of determination (R2)0.015

GDP per capita (current US$)
No. of data33
Regression equation
Y = 59746.535690 X -1948.073
Correlation coefficient (r)0.209
Coefficient of determination (R2)0.044

Life expectancy at birth - Both sexes (years)
No. of data32
Regression equation
Y = 18.205418 X +66.516
Correlation coefficient (r)0.456
Coefficient of determination (R2)0.208

Fertility rate, total (births per woman)
No. of data32
Regression equation
Y = -0.865153 X +2.249
Correlation coefficient (r)-0.238
Coefficient of determination (R2)0.057

Suicide - all ages (per 100,000 population)
No. of data32
Regression equation
Y = -13.419862 X +21.791
Correlation coefficient (r)-0.242
Coefficient of determination (R2)0.059