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Question: Now think of the type of work you do, irrespective of the firm or organization you work for. To what extent do you agree or disagree with each of the following statements? - Given the chance, I would change my present type of work for something different.
Choices: "Strongly agree" "Agree" "Neither agree nor disagree" "Disagree" "Strongly disagree"
Data: % of "Strongly agree" "Agree"
Period:
Area:
27 countries/ areas
Highlight:
1 Poland46.9%
2 Lithuania44.6%
3 France44.3%
4 Latvia43.7%
5 Mexico41.7%
6 Slovakia40.9%
7 Slovenia40.2%
8 United States40.1%
9 Australia39.6%
10 Spain39.1%
11 Israel38.0%
12 Denmark37.2%
13 Iceland36.7%
14 Chile36.6%
15 Czech Republic36.1%
16 New Zealand34.1%
16 United Kingdom34.1%
18 Belgium33.4%
19 Sweden32.2%
20 Finland29.4%
21 Japan 28.4%
22 Hungary27.8%
23 Estonia27.5%
24 Germany26.6%
25 Austria25.2%
25 Switzerland25.2%
27 Norway24.5%

Note
% among those who work currently. 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 = -2.908665 X +7.863
Correlation coefficient (r)-0.355
Coefficient of determination (R2)0.126

GDP per capita (current US$)
No. of data27
Regression equation
Y = -158479.256136 X +100248.096
Correlation coefficient (r)-0.470
Coefficient of determination (R2)0.221

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -19.554619 X +87.114
Correlation coefficient (r)-0.444
Coefficient of determination (R2)0.197

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 1.038769 X +1.251
Correlation coefficient (r)0.228
Coefficient of determination (R2)0.052

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = 1.500484 X +12.844
Correlation coefficient (r)0.022
Coefficient of determination (R2)0.000