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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 "too low" "much too low"
Period:
Area:
35 countries/ areas
Highlight:
1 Taiwan76.7%
2 Republic of Korea74.9%
3 Russian Federation71.6%
4 Hungary70.5%
5 Spain69.6%
6 Germany65.3%
7 Slovenia62.0%
8 Chile60.2%
9 Croatia58.2%
10 Japan57.5%
11 Norway56.2%
12 Finland 55.6%
13 Belgium54.5%
14 Slovakia52.7%
15 Switzerland52.5%
16 United States52.0%
17 Latvia51.9%
18 Iceland50.4%
19 Sweden50.1%
20 New Zealand50.0%
21 Turkiye44.9%
22 Australia44.3%
23 Suriname43.3%
24 France42.1%
25 Czech Republic40.6%
26 Lithuania39.5%
27 United Kingdom36.8%
28 Denmark36.4%
29 Venezuela32.3%
30 Israel31.8%
31 Thailand31.0%
32 Georgia26.1%
33 South Africa15.0%
34 India13.0%
35 Philippines6.1%

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 = 1.789014 X +5.560
Correlation coefficient (r)0.331
Coefficient of determination (R2)0.110

GDP per capita (current US$)
No. of data35
Regression equation
Y = 43906.980193 X +13973.704
Correlation coefficient (r)0.295
Coefficient of determination (R2)0.087

Life expectancy at birth - Both sexes (years)
No. of data34
Regression equation
Y = 15.352719 X +71.174
Correlation coefficient (r)0.523
Coefficient of determination (R2)0.274

Fertility rate, total (births per woman)
No. of data34
Regression equation
Y = -1.797753 X +2.559
Correlation coefficient (r)-0.742
Coefficient of determination (R2)0.551

Suicide - all ages (per 100,000 population)
No. of data34
Regression equation
Y = 15.225064 X +6.705
Correlation coefficient (r)0.376
Coefficient of determination (R2)0.141