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Question: Who do you think should have the greatest responsibility for reducing differences in income between people with high incomes and people with low incomes?
Choices: "Private companies" "Government" "Trade unions" "High-income individuals themselves" "Low-income individuals themselves" "Income differences do not need to be reduced"
Data: % of "High-income individuals themselves"
Period:
Area:
28 countries/ areas
Highlight:
1 Switzerland8.2%
2 France7.6%
3 United States6.3%
4 Czech Republic5.2%
5 Lithuania4.4%
6 Finland 3.7%
7 Germany3.5%
8 Israel3.0%
8 Japan3.0%
8 Philippines3.0%
8 South Africa3.0%
12 Iceland2.9%
13 New Zealand2.8%
13 Suriname2.8%
15 Australia2.7%
16 Slovenia2.6%
16 Venezuela2.6%
18 Chile2.0%
18 Denmark2.0%
18 Italy2.0%
18 Sweden2.0%
22 Russian Federation1.8%
22 United Kingdom1.8%
24 Austria1.6%
25 Taiwan1.5%
26 Croatia0.6%
27 Bulgaria0.3%
28 Thailand0.2%

Note
Can't choose/ No answer are excluded.

No data for 210 countries.

Source
ISSP 2019

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data27
Regression equation
Y = 13.845322 X +6.199
Correlation coefficient (r)0.340
Coefficient of determination (R2)0.116

GDP per capita (current US$)
No. of data28
Regression equation
Y = 597913.422270 X +19470.034
Correlation coefficient (r)0.465
Coefficient of determination (R2)0.216

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 44.728207 X +77.285
Correlation coefficient (r)0.172
Coefficient of determination (R2)0.030

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 1.166563 X +1.685
Correlation coefficient (r)0.057
Coefficient of determination (R2)0.003

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = 53.564627 X +11.822
Correlation coefficient (r)0.160
Coefficient of determination (R2)0.026