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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 = -2.029750 X +7.557
Correlation coefficient (r)-0.277
Coefficient of determination (R2)0.077

GDP per capita (current US$)
No. of data27
Regression equation
Y = -159410.928987 X +101131.506
Correlation coefficient (r)-0.436
Coefficient of determination (R2)0.190

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -25.519232 X +88.725
Correlation coefficient (r)-0.435
Coefficient of determination (R2)0.189

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.612083 X +1.420
Correlation coefficient (r)0.129
Coefficient of determination (R2)0.017

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = 4.077565 X +9.208
Correlation coefficient (r)0.079
Coefficient of determination (R2)0.006