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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 "We have about the same income"
Period:
Area:
41 countries/ areas
Highlight:
1 Portugal35.0%
2 Lithuania32.0%
3 Czech Republic31.7%
4 China26.7%
5 Australia25.8%
6 Denmark23.6%
7 Venezuela23.1%
8 Slovenia22.7%
9 Finland22.3%
10 Russian Federation22.0%
11 France21.7%
12 Slovakia20.8%
13 Latvia20.4%
14 Croatia19.6%
15 Republic of Korea19.0%
16 Bulgaria18.8%
17 Ireland18.6%
18 Belgium18.5%
19 Argentina18.3%
19 Israel18.3%
21 Hungary17.7%
21 Poland17.7%
21 Taiwan17.7%
24 Norway17.4%
25 South Africa17.3%
26 Iceland17.1%
27 Sweden16.6%
28 Spain16.2%
29 Chile15.9%
30 Canada14.6%
31 Austria13.9%
31 Netherlands13.9%
33 Mexico12.4%
34 Switzerland12.0%
35 United Kingdom11.2%
36 Germany11.1%
37 Philippines9.2%
38 India8.6%
39 United States8.0%
40 Japan 6.5%
41 Turkiye5.8%

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 = 2.121499 X +6.093
Correlation coefficient (r)0.188
Coefficient of determination (R2)0.035

GDP per capita (current US$)
No. of data41
Regression equation
Y = -35619.199446 X +43998.810
Correlation coefficient (r)-0.086
Coefficient of determination (R2)0.007

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 4.090217 X +77.269
Correlation coefficient (r)0.050
Coefficient of determination (R2)0.003

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -1.038178 X +1.860
Correlation coefficient (r)-0.176
Coefficient of determination (R2)0.031

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = 13.635122 X +8.025
Correlation coefficient (r)0.182
Coefficient of determination (R2)0.033