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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 "Government"
Period:
Area:
28 countries/ areas
Highlight:
1 Thailand88.4%
2 Russian Federation86.1%
3 Croatia85.5%
4 Italy81.6%
5 Bulgaria80.5%
6 Lithuania78.9%
7 Suriname77.7%
8 Slovenia77.2%
9 Philippines74.8%
10 South Africa74.3%
11 Chile70.4%
12 Israel69.5%
13 United Kingdom66.7%
14 Austria63.2%
15 Iceland62.0%
15 Japan62.0%
17 Germany59.7%
18 Venezuela59.5%
19 Czech Republic58.7%
20 Sweden58.1%
21 Finland 56.1%
22 Australia53.3%
23 Taiwan50.6%
24 New Zealand48.9%
25 Denmark46.9%
26 France46.3%
27 Switzerland44.3%
28 United States35.1%

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 = -3.190243 X +8.665
Correlation coefficient (r)-0.576
Coefficient of determination (R2)0.332

GDP per capita (current US$)
No. of data28
Regression equation
Y = -125529.138340 X +118643.312
Correlation coefficient (r)-0.728
Coefficient of determination (R2)0.530

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -16.185614 X +89.222
Correlation coefficient (r)-0.462
Coefficient of determination (R2)0.213

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.186909 X +1.598
Correlation coefficient (r)0.067
Coefficient of determination (R2)0.004

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = 7.289771 X +8.674
Correlation coefficient (r)0.162
Coefficient of determination (R2)0.026