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Question: How important do you personally think high income 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 Venezuela83.9%
2 Russian Federation61.8%
3 Georgia56.5%
4 Mexico54.8%
5 Philippines51.5%
6 Suriname50.2%
7 South Africa48.8%
8 Poland48.1%
9 India44.8%
10 Lithuania44.5%
11 Chile42.5%
12 Estonia42.0%
13 Latvia41.4%
14 Hungary39.4%
15 Israel38.4%
16 China37.2%
17 Croatia32.5%
18 Spain29.2%
19 United States29.0%
20 Slovakia28.4%
21 Slovenia28.2%
22 Austria26.0%
22 Taiwan26.0%
24 Czech Republic21.9%
25 Japan 20.5%
26 France18.5%
27 Belgium17.9%
28 Iceland17.1%
29 Finland15.4%
30 Germany12.7%
31 New Zealand12.0%
32 United Kingdom11.9%
33 Sweden11.2%
34 Australia10.2%
35 Denmark8.4%
36 Switzerland7.2%
37 Norway5.7%

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 = -2.694664 X +7.354
Correlation coefficient (r)-0.662
Coefficient of determination (R2)0.438

GDP per capita (current US$)
No. of data37
Regression equation
Y = -113774.627724 X +71758.035
Correlation coefficient (r)-0.790
Coefficient of determination (R2)0.624

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = -24.882736 X +85.377
Correlation coefficient (r)-0.804
Coefficient of determination (R2)0.646

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 0.792815 X +1.476
Correlation coefficient (r)0.367
Coefficient of determination (R2)0.135

Suicide, age-standardized (per 100 000 population)
No. of data36
Regression equation
Y = 1.970688 X +10.520
Correlation coefficient (r)0.068
Coefficient of determination (R2)0.005