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Question: Who or where would you turn to first to help you if you needed to borrow a large sum of money?
Choices: "Family members or close friends" "Other persons" "Private companies" "Public services" "Non-profit or religious organisations" "Other organisations" "No person or organisation"
Data: % of "Family members or close friends"
Period:
Area:
30 countries/ areas
Highlight:
1 China80.7%
2 Philippines68.8%
3 Japan67.3%
4 Spain66.6%
5 Croatia66.5%
6 Lithuania65.9%
7 Switzerland65.1%
8 Germany64.4%
9 Slovakia64.2%
10 South Africa63.9%
11 Slovenia62.8%
12 Russian Federation60.3%
13 Taiwan60.1%
14 United Kingdom56.1%
15 Hungary55.9%
16 Austria51.6%
16 United States51.6%
18 Mexico49.9%
19 Sweden48.9%
20 Israel48.5%
21 Australia46.8%
22 Czech Republic45.9%
23 New Zealand45.5%
24 Iceland45.4%
25 Suriname44.5%
26 Thailand43.8%
27 Denmark43.5%
28 India43.3%
29 Finland 43.1%
30 France34.8%

Note
Can't choose/ No answer are excluded.

No data for 208 countries.

Source
ISSP 2017

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data29
Regression equation
Y = -2.397933 X +7.884
Correlation coefficient (r)-0.296
Coefficient of determination (R2)0.088

GDP per capita (current US$)
No. of data30
Regression equation
Y = -55722.380862 X +66483.415
Correlation coefficient (r)-0.247
Coefficient of determination (R2)0.061

Life expectancy at birth - Both sexes (years)
No. of data29
Regression equation
Y = -8.324637 X +82.918
Correlation coefficient (r)-0.185
Coefficient of determination (R2)0.034

Fertility rate, total (births per woman)
No. of data29
Regression equation
Y = -0.625623 X +2.073
Correlation coefficient (r)-0.177
Coefficient of determination (R2)0.031

Suicide - all ages (per 100,000 population)
No. of data29
Regression equation
Y = 2.658410 X +12.258
Correlation coefficient (r)0.048
Coefficient of determination (R2)0.002