Tweet
Question: Which of the following statements best describes how your working hours are decided?
Choices: "Starting and finishing times are decided by my employer and I cannot change them on my own" "I can decide the time I start and finish work, within certain limits" "I am entirely free to decide when I start and finish work"
Data: % of "I can decide the time I start and finish work, within certain limits" "I am entirely free to decide when I start and finish work"
Period:
Area:
22 countries/ areas
Highlight:
1 Switzerland70.9%
2 Denmark69.3%
3 Finland67.9%
4 Republic of Korea61.5%
5 New Zealand56.9%
6 Norway55.4%
7 Israel54.8%
8 Australia54.6%
9 Canada54.4%
10 Belgium52.0%
11 France51.6%
11 United States51.6%
13 Germany49.9%
14 Mexico49.3%
15 Ireland48.7%
16 Spain45.4%
17 Slovenia42.0%
18 Czech Republic40.4%
19 Japan 39.3%
20 Latvia36.5%
21 Hungary35.3%
22 Portugal33.8%

Note
Can't choose/ No answer are excluded. Belgium: Flanders only. Germany: unweighted sum of West and East Germany. Israel: unweighted sum of Jews and Arabs. United Kingdom: excluding Northern Ireland.

No data for 16 countries.

Source
ISSP 2005

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data22
Regression equation
Y = 3.166116 X +5.141
Correlation coefficient (r)0.700
Coefficient of determination (R2)0.490

Life satisfaction (10 steps)
No. of data22
Regression equation
Y = 3.386808 X +5.040
Correlation coefficient (r)0.729
Coefficient of determination (R2)0.531

GDP per capita (current US$)
No. of data22
Regression equation
Y = 144517.016827 X -21476.425
Correlation coefficient (r)0.591
Coefficient of determination (R2)0.349

Life expectancy at birth - Both sexes (years)
No. of data22
Regression equation
Y = 9.950415 X +76.378
Correlation coefficient (r)0.396
Coefficient of determination (R2)0.157

Fertility rate, total (births per woman)
No. of data22
Regression equation
Y = -0.122247 X +1.540
Correlation coefficient (r)-0.034
Coefficient of determination (R2)0.001

Suicide, age-standardized (per 100 000 population)
No. of data22
Regression equation
Y = 2.208054 X +9.578
Correlation coefficient (r)0.065
Coefficient of determination (R2)0.004