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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:
31 countries/ areas
Highlight:
1 Poland83.2%
2 Hungary75.5%
3 Mexico73.1%
4 Ireland68.4%
5 United States66.0%
6 Czech Republic64.9%
7 Chile64.4%
8 Latvia63.8%
9 Switzerland63.0%
10 Slovakia60.9%
11 Japan 60.3%
12 Canada59.3%
13 Portugal56.7%
14 Lithuania56.4%
15 Germany55.8%
16 United Kingdom54.1%
17 Austria53.6%
18 Australia51.6%
19 Slovenia49.7%
20 Spain49.0%
21 Belgium46.4%
22 Turkiye44.9%
23 Israel39.0%
24 Netherlands38.0%
25 Republic of Korea37.0%
26 France33.0%
27 Finland25.6%
28 Norway24.4%
29 Iceland18.0%
30 Sweden9.9%
31 Denmark7.2%

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

No data for 7 countries.

Source
ISSP 2012

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data31
Regression equation
Y = -1.711601 X +7.605
Correlation coefficient (r)-0.482
Coefficient of determination (R2)0.232

GDP per capita (current US$)
No. of data31
Regression equation
Y = -51187.571159 X +70706.876
Correlation coefficient (r)-0.396
Coefficient of determination (R2)0.157

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = -8.349953 X +84.593
Correlation coefficient (r)-0.557
Coefficient of determination (R2)0.310

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = -0.140245 X +1.663
Correlation coefficient (r)-0.080
Coefficient of determination (R2)0.006

Suicide - all ages (per 100,000 population)
No. of data31
Regression equation
Y = -0.855702 X +13.684
Correlation coefficient (r)-0.029
Coefficient of determination (R2)0.001