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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:
41 countries/ areas
Highlight:
1 France23.1%
2 Belgium20.0%
3 Japan15.0%
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 India5.6%
14 Sweden5.4%
15 Israel5.2%
16 Germany5.1%
17 Austria4.9%
17 Finland 4.9%
19 United Kingdom4.6%
20 Taiwan4.2%
21 Republic of Korea4.1%
22 Czech Republic4.0%
23 Slovenia3.7%
24 Argentina3.5%
24 Ireland3.5%
26 China3.3%
27 Croatia3.1%
28 Poland3.0%
29 Spain2.8%
30 Hungary2.7%
30 South Africa2.7%
32 Portugal2.4%
33 Bulgaria2.3%
34 Latvia2.0%
35 Chile1.2%
36 Philippines0.9%
37 Turkiye0.8%
38 Mexico0.7%
39 Russian Federation0.5%
40 Venezuela0.4%
41 Slovakia0.2%

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 = 7.087034 X +6.036
Correlation coefficient (r)0.420
Coefficient of determination (R2)0.176

GDP per capita (current US$)
No. of data41
Regression equation
Y = 262752.587176 X +21876.859
Correlation coefficient (r)0.523
Coefficient of determination (R2)0.274

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 40.819668 X +76.341
Correlation coefficient (r)0.475
Coefficient of determination (R2)0.226

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -1.092710 X +1.740
Correlation coefficient (r)-0.152
Coefficient of determination (R2)0.023

Suicide - all ages (per 100,000 population)
No. of data40
Regression equation
Y = 19.172955 X +11.881
Correlation coefficient (r)0.164
Coefficient of determination (R2)0.027