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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 Japan 62.0%
17 Germany59.7%
18 Venezuela59.5%
19 Czech Republic58.7%
20 Sweden58.1%
21 Finland56.1%
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 = -2.476878 X +8.197
Correlation coefficient (r)-0.546
Coefficient of determination (R2)0.298

GDP per capita (current US$)
No. of data28
Regression equation
Y = -124879.935985 X +118351.188
Correlation coefficient (r)-0.720
Coefficient of determination (R2)0.518

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -18.108391 X +89.994
Correlation coefficient (r)-0.447
Coefficient of determination (R2)0.200

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.054366 X +1.714
Correlation coefficient (r)0.018
Coefficient of determination (R2)0.000

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = 6.785061 X +6.678
Correlation coefficient (r)0.163
Coefficient of determination (R2)0.027