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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 = 4.309684 X +6.461
Correlation coefficient (r)0.359
Coefficient of determination (R2)0.129

GDP per capita (current US$)
No. of data31
Regression equation
Y = 189316.358013 X +32457.098
Correlation coefficient (r)0.434
Coefficient of determination (R2)0.188

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = 22.357114 X +78.921
Correlation coefficient (r)0.442
Coefficient of determination (R2)0.195

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = -0.087794 X +1.598
Correlation coefficient (r)-0.015
Coefficient of determination (R2)0.000

Suicide - all ages (per 100,000 population)
No. of data31
Regression equation
Y = 17.096165 X +12.117
Correlation coefficient (r)0.173
Coefficient of determination (R2)0.030