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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 "Low-income individuals themselves"
Period:
Area:
28 countries/ areas
Highlight:
1 Taiwan16.5%
2 United States8.0%
3 Japan6.9%
4 New Zealand6.6%
5 Australia5.4%
6 Finland 5.1%
7 Czech Republic4.9%
8 United Kingdom3.2%
9 Sweden2.9%
10 Denmark2.6%
10 Germany2.6%
12 Philippines2.2%
13 Suriname1.9%
14 Israel1.8%
14 Switzerland1.8%
16 Lithuania1.6%
17 Austria1.4%
17 Thailand1.4%
19 France1.2%
20 Italy1.1%
20 South Africa1.1%
22 Russian Federation0.9%
23 Chile0.8%
23 Slovenia0.8%
25 Croatia0.5%
26 Venezuela0.4%
27 Bulgaria0.3%
27 Iceland0.3%

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 = 5.088560 X +6.456
Correlation coefficient (r)0.222
Coefficient of determination (R2)0.049

GDP per capita (current US$)
No. of data28
Regression equation
Y = 169512.813094 X +32117.758
Correlation coefficient (r)0.235
Coefficient of determination (R2)0.055

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 74.553959 X +76.768
Correlation coefficient (r)0.326
Coefficient of determination (R2)0.106

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = -3.560878 X +1.810
Correlation coefficient (r)-0.196
Coefficient of determination (R2)0.038

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = 3.401140 X +13.355
Correlation coefficient (r)0.012
Coefficient of determination (R2)0.000