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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 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 India5.6%
14 Sweden5.4%
15 Israel5.2%
16 Germany5.1%
17 Austria4.9%
17 Finland4.9%
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 = 5.580630 X +6.159
Correlation coefficient (r)0.392
Coefficient of determination (R2)0.154

GDP per capita (current US$)
No. of data41
Regression equation
Y = 257502.027047 X +22945.214
Correlation coefficient (r)0.491
Coefficient of determination (R2)0.241

Life expectancy at birth - Both sexes (years)
No. of data40
Regression equation
Y = 52.843520 X +74.986
Correlation coefficient (r)0.507
Coefficient of determination (R2)0.257

Fertility rate, total (births per woman)
No. of data40
Regression equation
Y = -0.674284 X +1.711
Correlation coefficient (r)-0.090
Coefficient of determination (R2)0.008

Suicide, age-standardized (per 100 000 population)
No. of data40
Regression equation
Y = 11.832327 X +9.809
Correlation coefficient (r)0.125
Coefficient of determination (R2)0.016