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Question: Which of the following statements best describes your usual working schedule in your main job?
Choices: "I have a regular schedule or shift (daytime, evening, or night)" "I have a schedule or shift which regularly changes (for example, from days to evenings or to nights)" "I have a schedule where daily working times are decided at short notice by my employer"
Data: % of "I have a regular schedule or shift (daytime, evening, or night)"
Period:
Area:
37 countries/ areas
Highlight:
1 Japan 87.7%
2 Taiwan85.7%
3 New Zealand82.5%
4 Finland81.3%
5 Australia80.9%
6 Poland80.6%
7 United Kingdom80.3%
8 Iceland80.2%
9 Belgium79.9%
10 France79.3%
11 Lithuania77.9%
11 Slovenia77.9%
13 Denmark77.5%
14 Mexico76.8%
15 Norway76.1%
16 United States76.0%
17 Estonia75.8%
17 Spain75.8%
17 Sweden75.8%
20 Croatia75.2%
21 Germany74.3%
22 Austria73.4%
23 Switzerland73.3%
24 Russian Federation72.1%
25 Georgia70.6%
26 South Africa69.9%
27 Czech Republic69.0%
28 Suriname68.6%
29 Latvia68.1%
30 Slovakia66.1%
31 Chile65.8%
32 China65.2%
33 Hungary64.9%
34 Israel64.7%
35 Venezuela64.1%
36 India61.6%
37 Philippines50.1%

Note
% among those who work currently. Can't choose/ No answer are excluded.

No data for 201 countries.

Source
ISSP 2015

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data36
Regression equation
Y = 4.652791 X +3.078
Correlation coefficient (r)0.481
Coefficient of determination (R2)0.231

GDP per capita (current US$)
No. of data37
Regression equation
Y = 160240.111411 X -82409.298
Correlation coefficient (r)0.464
Coefficient of determination (R2)0.215

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = 44.439758 X +44.850
Correlation coefficient (r)0.579
Coefficient of determination (R2)0.335

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = -3.018902 X +3.942
Correlation coefficient (r)-0.563
Coefficient of determination (R2)0.317

Suicide, age-standardized (per 100 000 population)
No. of data36
Regression equation
Y = 13.213948 X +1.462
Correlation coefficient (r)0.185
Coefficient of determination (R2)0.034