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Question: Who do you think should primarily provide health care for the sick?
Choices: "Government" "Private companies/for-profit organisations" "Non-profit organisations/charities/cooperatives" "Religious organisations" "Family, relatives or friends"
Data: % of "Family, relatives or friends"
Period:
Area:
34 countries/ areas
Highlight:
1 Taiwan42.9%
2 Thailand18.2%
3 Chile17.9%
4 Philippines16.7%
5 Japan 14.6%
6 Republic of Korea12.2%
7 Switzerland11.6%
8 Lithuania10.2%
9 Venezuela7.9%
10 India7.8%
11 United States7.2%
12 Turkiye5.6%
13 Czech Republic4.8%
14 South Africa4.7%
15 Croatia4.2%
16 France3.3%
17 Suriname3.1%
18 Australia3.0%
19 Germany2.8%
20 Belgium2.3%
21 Latvia2.2%
22 Slovakia2.0%
23 New Zealand1.8%
24 United Kingdom1.6%
25 Georgia1.5%
26 Spain1.3%
27 Russian Federation1.2%
28 Norway0.7%
28 Slovenia0.7%
30 Denmark0.5%
31 Iceland0.4%
32 Finland0.2%
32 Israel0.2%
34 Hungary0.1%

Note
Can't choose/ No answer are excluded.

No data for 204 countries.

Source
ISSP 2016

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data33
Regression equation
Y = -1.673687 X +6.520
Correlation coefficient (r)-0.179
Coefficient of determination (R2)0.032

GDP per capita (current US$)
No. of data34
Regression equation
Y = -61739.833031 X +38873.576
Correlation coefficient (r)-0.193
Coefficient of determination (R2)0.037

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -9.213324 X +78.076
Correlation coefficient (r)-0.087
Coefficient of determination (R2)0.008

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = -0.893270 X +1.780
Correlation coefficient (r)-0.113
Coefficient of determination (R2)0.013

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = -8.999947 X +11.890
Correlation coefficient (r)-0.084
Coefficient of determination (R2)0.007