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Question: How important do you personally think being useful to society is in a job?
Choices: "Very important" "Important" "Neither important nor unimportant" "Not important" "Not important at all"
Data: % of "Very important"
Period:
Area:
37 countries/ areas
Highlight:
1 Venezuela88.7%
2 Georgia47.4%
2 United States47.4%
4 Spain46.7%
5 Israel45.7%
6 Chile45.5%
7 Suriname45.4%
8 Mexico44.3%
9 Austria41.2%
10 Philippines39.1%
10 South Africa39.1%
12 India33.0%
13 Slovenia31.1%
14 New Zealand29.9%
15 Belgium29.4%
16 Russian Federation28.8%
17 Australia27.7%
18 Iceland27.6%
19 Latvia27.3%
20 Slovakia26.3%
21 Switzerland26.0%
22 France25.7%
23 Taiwan25.4%
24 China24.9%
25 Denmark24.6%
26 United Kingdom23.2%
27 Hungary22.9%
28 Croatia22.6%
29 Czech Republic21.9%
30 Poland21.2%
31 Germany21.1%
32 Lithuania17.9%
33 Sweden17.8%
34 Estonia17.5%
35 Norway17.2%
36 Finland16.2%
37 Japan 15.5%

Note
Can't choose/ No answer are excluded.

No data for 201 countries.

Source
ISSP 2015

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data36
Regression equation
Y = -1.697305 X +7.033
Correlation coefficient (r)-0.321
Coefficient of determination (R2)0.103

GDP per capita (current US$)
No. of data37
Regression equation
Y = -60760.379362 X +54542.911
Correlation coefficient (r)-0.325
Coefficient of determination (R2)0.106

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = -15.279146 X +82.217
Correlation coefficient (r)-0.380
Coefficient of determination (R2)0.144

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 1.363791 X +1.302
Correlation coefficient (r)0.486
Coefficient of determination (R2)0.236

Suicide, age-standardized (per 100 000 population)
No. of data36
Regression equation
Y = -9.249674 X +14.047
Correlation coefficient (r)-0.247
Coefficient of determination (R2)0.061