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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 = -0.650610 X +7.055
Correlation coefficient (r)-0.099
Coefficient of determination (R2)0.010

Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -0.655841 X +7.038
Correlation coefficient (r)-0.098
Coefficient of determination (R2)0.010

Life satisfaction (10 steps)
No. of data27
Regression equation
Y = -1.229670 X +7.245
Correlation coefficient (r)-0.178
Coefficient of determination (R2)0.032

GDP per capita (current US$)
No. of data27
Regression equation
Y = -139983.369995 X +97805.642
Correlation coefficient (r)-0.391
Coefficient of determination (R2)0.153

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -14.518840 X +86.001
Correlation coefficient (r)-0.361
Coefficient of determination (R2)0.130

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.777139 X +1.201
Correlation coefficient (r)0.158
Coefficient of determination (R2)0.025

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -0.498550 X +10.864
Correlation coefficient (r)-0.011
Coefficient of determination (R2)0.000