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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:
41 countries/ areas
Highlight:
1 Japan 88.3%
2 Turkiye88.0%
3 Austria81.7%
4 Switzerland79.6%
5 Netherlands77.7%
6 Germany77.1%
7 Chile75.1%
8 United Kingdom74.0%
9 Canada73.9%
10 Spain73.7%
11 India72.3%
12 Norway72.2%
13 Mexico71.9%
14 Slovakia71.6%
15 Republic of Korea71.4%
16 Argentina70.5%
17 Hungary69.9%
18 Latvia69.8%
19 Iceland69.6%
20 Venezuela69.5%
21 Russian Federation68.6%
22 United States67.7%
23 Sweden67.4%
24 Ireland67.3%
25 France66.9%
26 Israel66.7%
27 Poland66.3%
28 Belgium65.6%
29 South Africa65.4%
30 Bulgaria64.8%
31 Taiwan63.8%
32 China63.6%
33 Czech Republic62.7%
34 Slovenia62.5%
35 Philippines62.1%
36 Portugal59.2%
37 Croatia58.5%
38 Australia56.8%
39 Finland56.6%
40 Denmark54.0%
40 Lithuania54.0%

Note
The question is asked to those who live with their spouse/ partner. 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 = -2.023953 X +7.867
Correlation coefficient (r)-0.217
Coefficient of determination (R2)0.047

GDP per capita (current US$)
No. of data41
Regression equation
Y = 15570.404121 X +26869.641
Correlation coefficient (r)0.045
Coefficient of determination (R2)0.002

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 9.250321 X +71.637
Correlation coefficient (r)0.135
Coefficient of determination (R2)0.018

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -0.536621 X +2.042
Correlation coefficient (r)-0.109
Coefficient of determination (R2)0.012

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -12.087489 X +18.810
Correlation coefficient (r)-0.194
Coefficient of determination (R2)0.038