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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 women 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 India42.5%
2 Switzerland41.1%
3 Canada30.8%
4 Mexico29.9%
5 Latvia26.7%
6 United States26.1%
7 Venezuela25.9%
8 Slovenia25.6%
9 Denmark24.4%
10 Ireland23.5%
11 Israel23.1%
12 Russian Federation20.9%
13 South Africa20.8%
14 Germany20.4%
14 Sweden20.4%
16 Finland 19.9%
17 Argentina19.8%
17 Poland19.8%
19 France18.3%
20 Belgium17.9%
21 Netherlands17.4%
22 Hungary17.3%
23 Iceland17.1%
24 Croatia17.0%
25 Norway16.9%
26 United Kingdom16.0%
27 Bulgaria15.6%
28 Lithuania15.5%
28 Spain15.5%
30 Australia14.6%
31 Slovakia14.4%
31 Taiwan14.4%
33 Chile13.9%
34 Austria13.6%
35 Republic of Korea13.2%
36 China12.8%
37 Philippines11.3%
38 Portugal11.0%
39 Turkiye10.0%
40 Czech Republic9.6%
41 Japan5.8%

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 = -0.355892 X +6.508
Correlation coefficient (r)-0.031
Coefficient of determination (R2)0.001

GDP per capita (current US$)
No. of data41
Regression equation
Y = 59559.346264 X +25316.250
Correlation coefficient (r)0.173
Coefficient of determination (R2)0.030

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -11.129580 X +80.835
Correlation coefficient (r)-0.188
Coefficient of determination (R2)0.035

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 1.049217 X +1.474
Correlation coefficient (r)0.212
Coefficient of determination (R2)0.045

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = 2.990731 X +12.397
Correlation coefficient (r)0.037
Coefficient of determination (R2)0.001