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Question: How important do you personally think deciding times or days of work is in a job?
Choices: "Very important" "Important" "Neither important nor unimportant" "Not important" "Not important at all"
Data: % of "Very important"
Period:
Area:
27 countries/ areas
Highlight:
1 Chile38.6%
2 Mexico37.3%
3 Latvia33.7%
4 Austria29.7%
5 Spain29.3%
6 Israel26.1%
7 Slovenia24.7%
8 Finland22.9%
9 Belgium22.5%
10 Lithuania20.0%
11 Estonia19.9%
12 Slovakia19.6%
13 Czech Republic18.9%
14 Sweden18.7%
15 Poland18.4%
16 New Zealand17.1%
17 United States16.7%
18 France16.6%
19 Norway15.9%
20 Switzerland15.6%
21 Denmark15.3%
22 Germany12.8%
23 Hungary12.4%
24 Iceland12.0%
25 Australia11.8%
26 Japan 11.4%
27 United Kingdom10.9%

Note
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 = -0.998885 X +7.014
Correlation coefficient (r)-0.169
Coefficient of determination (R2)0.029

GDP per capita (current US$)
No. of data27
Regression equation
Y = -141142.297333 X +75382.479
Correlation coefficient (r)-0.477
Coefficient of determination (R2)0.228

Life expectancy at birth - Both sexes (years)
No. of data27
Regression equation
Y = -13.603451 X +83.069
Correlation coefficient (r)-0.365
Coefficient of determination (R2)0.133

Fertility rate, total (births per woman)
No. of data27
Regression equation
Y = 0.501961 X +1.447
Correlation coefficient (r)0.126
Coefficient of determination (R2)0.016

Suicide, age-standardized (per 100 000 population)
No. of data27
Regression equation
Y = -5.499652 X +11.766
Correlation coefficient (r)-0.125
Coefficient of determination (R2)0.016