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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 "Private companies"
Period:
Area:
28 countries/ areas
Highlight:
1 France36.6%
2 United States33.6%
3 Switzerland32.2%
4 New Zealand28.3%
5 Australia24.7%
6 Taiwan24.1%
7 Germany21.2%
8 United Kingdom21.0%
9 Chile20.3%
10 Venezuela19.0%
11 Japan17.8%
12 Czech Republic15.6%
13 Iceland15.3%
14 Philippines14.0%
15 Finland 13.9%
16 Denmark13.1%
17 Austria12.0%
18 Sweden11.8%
19 Lithuania10.8%
20 Slovenia10.3%
21 South Africa9.6%
22 Bulgaria9.3%
23 Israel7.3%
24 Italy6.5%
25 Russian Federation5.2%
26 Croatia5.1%
27 Suriname4.9%
28 Thailand3.3%

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 = 2.783198 X +6.155
Correlation coefficient (r)0.317
Coefficient of determination (R2)0.100

GDP per capita (current US$)
No. of data28
Regression equation
Y = 145286.475569 X +14031.680
Correlation coefficient (r)0.539
Coefficient of determination (R2)0.291

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 20.191130 X +75.476
Correlation coefficient (r)0.370
Coefficient of determination (R2)0.137

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = -0.592800 X +1.813
Correlation coefficient (r)-0.137
Coefficient of determination (R2)0.019

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = -12.381275 X +15.379
Correlation coefficient (r)-0.176
Coefficient of determination (R2)0.031