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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:
37 countries/ areas
Highlight:
1 Venezuela62.4%
2 Suriname41.8%
3 Chile38.6%
4 Mexico37.3%
5 India34.5%
6 Latvia33.7%
7 Georgia33.1%
8 Austria29.7%
9 Spain29.3%
10 Israel26.1%
11 Russian Federation25.2%
12 Slovenia24.7%
13 Philippines23.8%
14 South Africa23.0%
15 Finland22.9%
16 Belgium22.5%
17 Taiwan20.2%
18 Lithuania20.0%
19 Estonia19.9%
20 Slovakia19.6%
21 Czech Republic18.9%
22 Sweden18.7%
23 Poland18.4%
24 New Zealand17.1%
25 United States16.7%
26 France16.6%
27 Norway15.9%
28 Switzerland15.6%
29 Denmark15.3%
30 China13.8%
31 Germany12.8%
32 Croatia12.4%
32 Hungary12.4%
34 Iceland12.0%
35 Australia11.8%
36 Japan11.4%
37 United Kingdom10.9%

Note
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 = -4.293366 X +7.423
Correlation coefficient (r)-0.505
Coefficient of determination (R2)0.255

GDP per capita (current US$)
No. of data37
Regression equation
Y = -124273.897303 X +63152.486
Correlation coefficient (r)-0.531
Coefficient of determination (R2)0.282

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = -20.401675 X +82.837
Correlation coefficient (r)-0.467
Coefficient of determination (R2)0.218

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 1.547694 X +1.372
Correlation coefficient (r)0.454
Coefficient of determination (R2)0.206

Suicide - all ages (per 100,000 population)
No. of data36
Regression equation
Y = -8.645531 X +15.461
Correlation coefficient (r)-0.158
Coefficient of determination (R2)0.025