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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 "Trade unions"
Period:
Area:
28 countries/ areas
Highlight:
1 Denmark20.0%
2 Austria18.9%
3 Sweden17.1%
4 Iceland16.4%
5 Finland 14.5%
6 Israel13.7%
7 Czech Republic10.6%
7 Suriname10.6%
9 South Africa9.1%
10 Germany9.0%
11 Switzerland8.7%
12 Slovenia8.2%
13 Croatia7.7%
14 Bulgaria7.4%
15 Italy7.2%
16 Venezuela6.4%
17 Thailand5.7%
17 United States5.7%
19 New Zealand5.6%
20 Chile5.2%
21 France5.1%
22 Australia4.5%
23 Russian Federation4.3%
24 Japan3.8%
24 Philippines3.8%
26 Lithuania2.9%
27 United Kingdom2.4%
28 Taiwan1.8%

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 = 8.283235 X +5.919
Correlation coefficient (r)0.537
Coefficient of determination (R2)0.288

GDP per capita (current US$)
No. of data28
Regression equation
Y = 196584.453462 X +20624.926
Correlation coefficient (r)0.405
Coefficient of determination (R2)0.164

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 25.976585 X +76.381
Correlation coefficient (r)0.259
Coefficient of determination (R2)0.067

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.715525 X +1.658
Correlation coefficient (r)0.090
Coefficient of determination (R2)0.008

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = -0.542664 X +13.488
Correlation coefficient (r)-0.004
Coefficient of determination (R2)0.000