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Question: Thinking about elderly people who need some help in their everyday lives, such as help with grocery shopping, cleaning the house, doing the laundry etc. Who do you think should primarily provide this help?
Choices: "Family members" "Government agencies" "Non-profit organisations (e.g. charitable organisations, churches/religious organisations)" "Private providers of this kind of help"
Data: % of "Family members"
Period:
Area:
41 countries/ areas
Highlight:
1 Philippines90.3%
2 China86.3%
3 Argentina86.0%
4 Venezuela85.0%
5 Poland83.2%
6 Croatia78.0%
7 Hungary75.5%
8 Mexico73.1%
9 South Africa72.3%
10 Bulgaria70.7%
11 Ireland68.4%
12 United States66.0%
13 Czech Republic64.9%
14 Chile64.4%
14 Taiwan64.4%
16 Latvia63.8%
17 Switzerland63.0%
18 Slovakia60.9%
19 Japan 60.3%
20 India60.0%
21 Canada59.3%
22 Russian Federation59.2%
23 Portugal56.7%
24 Lithuania56.4%
25 Germany55.8%
26 United Kingdom54.1%
27 Austria53.6%
28 Australia51.6%
29 Slovenia49.7%
30 Spain49.0%
31 Belgium46.4%
32 Turkiye44.9%
33 Israel39.0%
34 Netherlands38.0%
35 Republic of Korea37.0%
36 France33.0%
37 Finland25.6%
38 Norway24.4%
39 Iceland18.0%
40 Sweden9.9%
41 Denmark7.2%

Note
Can't choose/ No answer are excluded. Germany: unweighted sum of West and East Germany.

No data for 197 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data41
Regression equation
Y = -2.003490 X +7.602
Correlation coefficient (r)-0.551
Coefficient of determination (R2)0.304

GDP per capita (current US$)
No. of data41
Regression equation
Y = -73717.094585 X +79021.370
Correlation coefficient (r)-0.551
Coefficient of determination (R2)0.304

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -15.579192 X +86.735
Correlation coefficient (r)-0.586
Coefficient of determination (R2)0.343

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.223592 X +1.547
Correlation coefficient (r)0.117
Coefficient of determination (R2)0.014

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = -3.595263 X +12.500
Correlation coefficient (r)-0.149
Coefficient of determination (R2)0.022