Tweet
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 = -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 = -144281.967759 X +97678.972
Correlation coefficient (r)-0.416
Coefficient of determination (R2)0.173

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -17.585908 X +86.518
Correlation coefficient (r)-0.404
Coefficient of determination (R2)0.163

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.899558 X +1.231
Correlation coefficient (r)0.193
Coefficient of determination (R2)0.037

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