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Question: In general, how would you describe relations at your workplace between management and employees?
Choices: "Very good" "Quite good" "Neither good nor bad" "Quite bad" "Very bad"
Data: % of "Very good" "Quite good"
Period:
Area:
37 countries/ areas
Highlight:
1 Venezuela88.3%
2 Georgia87.7%
3 Germany86.9%
4 Austria86.8%
5 Taiwan83.4%
6 South Africa81.6%
7 Israel81.5%
8 Switzerland81.1%
9 Mexico80.8%
10 Latvia79.0%
11 Iceland78.5%
12 India78.0%
13 Spain77.8%
14 Suriname76.5%
15 New Zealand76.0%
16 Philippines75.5%
17 United Kingdom75.1%
18 Chile72.2%
19 Slovakia72.0%
20 Hungary71.7%
21 Finland 71.1%
22 United States70.8%
23 Estonia70.2%
24 Australia69.9%
25 Norway69.6%
26 Denmark68.7%
27 Sweden67.5%
28 Lithuania67.3%
29 Czech Republic67.1%
30 Croatia66.9%
31 China66.6%
32 Russian Federation62.5%
33 Belgium61.6%
34 Poland59.9%
35 Slovenia58.8%
36 Japan56.5%
37 France51.9%

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 = -1.156885 X +7.314
Correlation coefficient (r)-0.120
Coefficient of determination (R2)0.014

GDP per capita (current US$)
No. of data37
Regression equation
Y = -22545.373155 X +51408.118
Correlation coefficient (r)-0.081
Coefficient of determination (R2)0.007

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = -13.479466 X +87.984
Correlation coefficient (r)-0.255
Coefficient of determination (R2)0.065

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 1.622588 X +0.546
Correlation coefficient (r)0.394
Coefficient of determination (R2)0.155

Suicide - all ages (per 100,000 population)
No. of data36
Regression equation
Y = -21.467812 X +29.082
Correlation coefficient (r)-0.324
Coefficient of determination (R2)0.105