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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 = 2.806109 X +6.559
Correlation coefficient (r)0.298
Coefficient of determination (R2)0.089

Life satisfaction (10 steps)
No. of data31
Regression equation
Y = 3.011273 X +6.532
Correlation coefficient (r)0.312
Coefficient of determination (R2)0.097

Life satisfaction (10 steps)
No. of data31
Regression equation
Y = 3.483311 X +6.495
Correlation coefficient (r)0.338
Coefficient of determination (R2)0.114

GDP per capita (current US$)
No. of data30
Regression equation
Y = 168266.296368 X +39288.683
Correlation coefficient (r)0.362
Coefficient of determination (R2)0.131

Life expectancy at birth - Both sexes (years)
No. of data31
Regression equation
Y = 20.840687 X +79.622
Correlation coefficient (r)0.446
Coefficient of determination (R2)0.199

Fertility rate, total (births per woman)
No. of data31
Regression equation
Y = 0.281236 X +1.427
Correlation coefficient (r)0.047
Coefficient of determination (R2)0.002

Suicide, age-standardized (per 100 000 population)
No. of data31
Regression equation
Y = 20.125117 X +8.992
Correlation coefficient (r)0.305
Coefficient of determination (R2)0.093