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Question: Who do you think should primarily provide care for older people?
Choices: "Government" "Private companies/for-profit organisations" "Non-profit organisations/charities/cooperatives" "Religious organisations" "Family, relatives or friends"
Data: % of "Private companies/for-profit organisations"
Period:
Area:
35 countries/ areas
Highlight:
1 Japan23.8%
2 India21.5%
3 Switzerland12.8%
4 Denmark11.7%
5 United States10.9%
6 Sweden9.6%
7 Belgium8.8%
7 New Zealand8.8%
9 France7.0%
10 Germany6.4%
11 Australia6.1%
12 Hungary5.9%
13 Republic of Korea5.8%
14 Czech Republic5.6%
15 Norway5.4%
16 Slovenia5.2%
16 Taiwan5.2%
18 Israel5.0%
19 Spain4.6%
20 Finland 3.9%
21 Lithuania3.8%
22 Croatia3.4%
23 Suriname3.2%
24 Latvia3.1%
24 Philippines3.1%
26 Chile2.7%
27 Iceland2.6%
28 Slovakia2.4%
29 South Africa2.3%
30 Turkiye2.2%
30 United Kingdom2.2%
32 Venezuela1.8%
33 Russian Federation1.7%
34 Georgia1.1%
35 Thailand0.6%

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 = 0.117865 X +6.411
Correlation coefficient (r)0.007
Coefficient of determination (R2)0.000

GDP per capita (current US$)
No. of data35
Regression equation
Y = 157644.795016 X +25526.161
Correlation coefficient (r)0.318
Coefficient of determination (R2)0.101

Life expectancy at birth - Both sexes (years)
No. of data34
Regression equation
Y = 22.932114 X +77.011
Correlation coefficient (r)0.245
Coefficient of determination (R2)0.060

Fertility rate, total (births per woman)
No. of data34
Regression equation
Y = -0.945352 X +1.771
Correlation coefficient (r)-0.123
Coefficient of determination (R2)0.015

Suicide - all ages (per 100,000 population)
No. of data34
Regression equation
Y = 8.909013 X +13.328
Correlation coefficient (r)0.069
Coefficient of determination (R2)0.005