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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 "Private providers of this kind of help"
Period:
Area:
31 countries/ areas
Highlight:
1 France23.1%
2 Belgium20.0%
3 Japan 15.0%
4 Denmark14.3%
5 Canada12.4%
6 Iceland12.0%
7 Switzerland9.4%
8 United States9.3%
9 Netherlands8.1%
10 Norway7.9%
11 Australia7.8%
12 Lithuania5.9%
13 Sweden5.4%
14 Israel5.2%
15 Germany5.1%
16 Austria4.9%
16 Finland4.9%
18 United Kingdom4.6%
19 Republic of Korea4.1%
20 Czech Republic4.0%
21 Slovenia3.7%
22 Ireland3.5%
23 Poland3.0%
24 Spain2.8%
25 Hungary2.7%
26 Portugal2.4%
27 Latvia2.0%
28 Chile1.2%
29 Turkiye0.8%
30 Mexico0.7%
31 Slovakia0.2%

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 = 4.078669 X +6.468
Correlation coefficient (r)0.352
Coefficient of determination (R2)0.124

GDP per capita (current US$)
No. of data31
Regression equation
Y = 185698.544537 X +33365.265
Correlation coefficient (r)0.396
Coefficient of determination (R2)0.157

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = 32.625185 X +77.828
Correlation coefficient (r)0.483
Coefficient of determination (R2)0.233

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = 0.290940 X +1.587
Correlation coefficient (r)0.048
Coefficient of determination (R2)0.002

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = 12.434942 X +9.639
Correlation coefficient (r)0.170
Coefficient of determination (R2)0.029