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Question: How willing would you be to pay higher taxes to improve the level of health care for all people in your country?
Choices: "Very willing" "Fairly willing" "Neither willing nor unwilling" "Fairly unwilling" "Very unwilling"
Data: % of "Very willing" "Fairly willing"
Period:
Area:
32 countries/ areas
Highlight:
1 Taiwan50.9%
2 United States46.3%
3 Australia44.8%
4 Sweden43.5%
5 China41.5%
6 United Kingdom39.7%
7 Philippines37.3%
8 Portugal36.0%
9 Denmark35.9%
10 South Africa35.4%
11 Poland34.9%
12 Netherlands33.8%
13 Switzerland31.4%
14 Italy30.1%
15 Israel29.8%
16 Republic of Korea29.6%
17 Norway29.1%
18 Finland28.7%
19 Spain27.5%
20 Germany27.3%
21 Bulgaria26.6%
22 Turkiye23.8%
23 Croatia23.7%
24 Belgium23.3%
25 Japan 23.1%
26 Lithuania22.0%
27 France21.8%
28 Slovenia20.5%
29 Chile17.8%
30 Czech Republic15.9%
31 Russian Federation14.6%
32 Slovakia10.4%

Note
Can't choose/ No answer are excluded.

No data for 206 countries.

Source
ISSP 2011

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data32
Regression equation
Y = 1.346532 X +6.125
Correlation coefficient (r)0.200
Coefficient of determination (R2)0.040

GDP per capita (current US$)
No. of data32
Regression equation
Y = 74682.465391 X +15734.150
Correlation coefficient (r)0.291
Coefficient of determination (R2)0.085

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = 6.969262 X +76.766
Correlation coefficient (r)0.120
Coefficient of determination (R2)0.014

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = 0.367312 X +1.524
Correlation coefficient (r)0.078
Coefficient of determination (R2)0.006

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = -7.366461 X +12.692
Correlation coefficient (r)-0.125
Coefficient of determination (R2)0.016