Tweet
Question: How much do you agree or disagree with each of these statements? - It is the responsibility of the government to reduce the differences in income between people with high incomes and those with low incomes
Choices: "Strongly agree" "Agree" "Neither agree nor disagree" "Disagree" "Strongly disagree"
Data: % of "Strongly agree" "Agree"
Period:
Area:
41 countries/ areas
Highlight:
1 Turkiye92.3%
2 Portugal92.0%
3 Slovenia90.7%
4 Ukraine90.1%
5 Lithuania89.0%
6 Russian Federation88.6%
7 Croatia88.3%
8 Italy86.7%
9 Latvia85.9%
10 Argentina84.8%
11 Hungary83.6%
12 Bulgaria82.1%
13 China81.4%
14 Spain79.6%
15 Poland78.8%
16 Estonia78.4%
17 Israel78.1%
18 France77.2%
19 Slovakia75.4%
20 Republic of Korea75.1%
21 Finland 74.8%
22 Austria74.6%
23 Chile73.6%
24 Belgium73.4%
25 Iceland72.3%
26 South Africa71.6%
27 Cyprus68.1%
28 Taiwan66.4%
29 Germany65.5%
30 Czech Republic64.2%
31 Switzerland62.9%
32 United Kingdom60.6%
33 Sweden58.0%
34 Venezuela54.9%
35 Japan54.4%
36 Denmark53.8%
37 Norway53.1%
38 Philippines51.8%
39 Australia51.3%
40 New Zealand42.4%
41 United States32.6%

Note
Can't choose/ No answer are excluded. Belgium: unweighted sum of Flanders and Wallony. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 197 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data41
Regression equation
Y = -2.307445 X +8.102
Correlation coefficient (r)-0.433
Coefficient of determination (R2)0.187

GDP per capita (current US$)
No. of data41
Regression equation
Y = -84428.884262 X +95897.369
Correlation coefficient (r)-0.529
Coefficient of determination (R2)0.280

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -6.593148 X +83.559
Correlation coefficient (r)-0.221
Coefficient of determination (R2)0.049

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -0.325556 X +1.866
Correlation coefficient (r)-0.128
Coefficient of determination (R2)0.016

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = 9.811387 X +6.049
Correlation coefficient (r)0.226
Coefficient of determination (R2)0.051