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Question: Generally, how would you describe taxes in this country today for those with high incomes? Taxes are...
Choices: "much too high" "too high" "about right" "too low" "much too low"
Data: % of "much too high" "too high"
Period:
Area:
35 countries/ areas
Highlight:
1 India60.3%
2 Philippines50.9%
3 South Africa48.9%
4 Lithuania38.1%
5 Israel37.3%
6 France32.6%
7 Suriname29.5%
8 Georgia 29.3%
9 Venezuela28.8%
10 Turkiye28.2%
11 Belgium27.6%
12 Australia26.6%
13 Denmark25.3%
14 United States23.5%
15 Latvia23.2%
16 Czech Republic21.9%
17 United Kingdom21.8%
18 Iceland19.8%
19 Croatia19.0%
20 Thailand18.0%
21 Japan17.8%
22 Slovakia17.4%
23 Sweden17.2%
24 Chile16.0%
25 New Zealand15.0%
26 Finland13.9%
27 Slovenia13.3%
28 Norway12.0%
29 Hungary11.9%
30 Switzerland10.8%
31 Germany10.0%
32 Spain9.6%
33 Republic of Korea7.5%
33 Taiwan7.5%
35 Russian Federation7.4%

Note
Can't choose/ No answer are excluded.

No data for 203 countries.

Source
ISSP 2016

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data34
Regression equation
Y = -3.308976 X +7.166
Correlation coefficient (r)-0.451
Coefficient of determination (R2)0.203

GDP per capita (current US$)
No. of data35
Regression equation
Y = -75074.860782 X +52108.780
Correlation coefficient (r)-0.372
Coefficient of determination (R2)0.138

Life expectancy at birth - Both sexes (years)
No. of data34
Regression equation
Y = -22.850449 X +83.706
Correlation coefficient (r)-0.588
Coefficient of determination (R2)0.346

Fertility rate, total (births per woman)
No. of data34
Regression equation
Y = 2.381546 X +1.160
Correlation coefficient (r)0.742
Coefficient of determination (R2)0.551

Suicide - all ages (per 100,000 population)
No. of data34
Regression equation
Y = -8.280351 X +15.790
Correlation coefficient (r)-0.154
Coefficient of determination (R2)0.024