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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:
27 countries/ areas
Highlight:
1 Japan 87.7%
2 New Zealand82.5%
3 Finland81.3%
4 Australia80.9%
5 Poland80.6%
6 United Kingdom80.3%
7 Iceland80.2%
8 Belgium79.9%
9 France79.3%
10 Lithuania77.9%
10 Slovenia77.9%
12 Denmark77.5%
13 Mexico76.8%
14 Norway76.1%
15 United States76.0%
16 Estonia75.8%
16 Spain75.8%
16 Sweden75.8%
19 Germany74.3%
20 Austria73.4%
21 Switzerland73.3%
22 Czech Republic69.0%
23 Latvia68.1%
24 Slovakia66.1%
25 Chile65.8%
26 Hungary64.9%
27 Israel64.7%

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 = 1.571211 X +5.647
Correlation coefficient (r)0.170
Coefficient of determination (R2)0.029

GDP per capita (current US$)
No. of data27
Regression equation
Y = 105309.344549 X -35394.945
Correlation coefficient (r)0.276
Coefficient of determination (R2)0.076

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = 19.870238 X +65.177
Correlation coefficient (r)0.399
Coefficient of determination (R2)0.159

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = -1.930946 X +3.078
Correlation coefficient (r)-0.375
Coefficient of determination (R2)0.141

Suicide - all ages (per 100,000 population)
No. of data27
Regression equation
Y = 9.312822 X +6.331
Correlation coefficient (r)0.120
Coefficient of determination (R2)0.014