Tweet
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 Finland 16.2%
37 Japan15.5%

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 = -2.430881 X +7.220
Correlation coefficient (r)-0.386
Coefficient of determination (R2)0.149

GDP per capita (current US$)
No. of data37
Regression equation
Y = -63565.499343 X +54784.360
Correlation coefficient (r)-0.355
Coefficient of determination (R2)0.126

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = -12.544521 X +82.127
Correlation coefficient (r)-0.375
Coefficient of determination (R2)0.141

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 1.412971 X +1.281
Correlation coefficient (r)0.541
Coefficient of determination (R2)0.293

Suicide - all ages (per 100,000 population)
No. of data36
Regression equation
Y = -15.509033 X +18.353
Correlation coefficient (r)-0.370
Coefficient of determination (R2)0.137