Tweet
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 Japan60.3%
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 Finland 25.6%
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 = -2.390185 X +7.783
Correlation coefficient (r)-0.555
Coefficient of determination (R2)0.308

GDP per capita (current US$)
No. of data41
Regression equation
Y = -73333.892943 X +78035.811
Correlation coefficient (r)-0.573
Coefficient of determination (R2)0.328

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = -12.925214 X +85.916
Correlation coefficient (r)-0.589
Coefficient of determination (R2)0.347

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = 0.414037 X +1.446
Correlation coefficient (r)0.226
Coefficient of determination (R2)0.051

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = -5.300274 X +15.947
Correlation coefficient (r)-0.178
Coefficient of determination (R2)0.032