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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:
27 countries/ areas
Highlight:
1 Mexico54.8%
2 Poland48.1%
3 Lithuania44.5%
4 Chile42.5%
5 Estonia42.0%
6 Latvia41.4%
7 Hungary39.4%
8 Israel38.4%
9 Spain29.2%
10 United States29.0%
11 Slovakia28.4%
12 Slovenia28.2%
13 Austria26.0%
14 Czech Republic21.9%
15 Japan 20.5%
16 France18.5%
17 Belgium17.9%
18 Iceland17.1%
19 Finland15.4%
20 Germany12.7%
21 New Zealand12.0%
22 United Kingdom11.9%
23 Sweden11.2%
24 Australia10.2%
25 Denmark8.4%
26 Switzerland7.2%
27 Norway5.7%

Note
Can't choose/ No answer are excluded.

No data for 11 countries.

Source
ISSP 2015

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -1.456855 X +7.193
Correlation coefficient (r)-0.475
Coefficient of determination (R2)0.226

Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -1.457186 X +7.175
Correlation coefficient (r)-0.466
Coefficient of determination (R2)0.217

Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -1.776959 X +7.260
Correlation coefficient (r)-0.549
Coefficient of determination (R2)0.301

GDP per capita (current US$)
No. of data27
Regression equation
Y = -122048.954307 X +79190.930
Correlation coefficient (r)-0.728
Coefficient of determination (R2)0.530

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -13.710770 X +84.336
Correlation coefficient (r)-0.727
Coefficient of determination (R2)0.529

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.221856 X +1.419
Correlation coefficient (r)0.096
Coefficient of determination (R2)0.009

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -1.378405 X +11.036
Correlation coefficient (r)-0.068
Coefficient of determination (R2)0.005