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Question: In general, how would you describe relations at your workplace between workmates/colleagues?
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 Georgia93.7%
2 Germany93.4%
3 Switzerland93.0%
4 Norway92.5%
5 Austria91.9%
6 Iceland91.7%
7 United Kingdom91.4%
8 South Africa90.4%
8 Spain90.4%
10 Taiwan90.1%
11 Venezuela89.9%
12 Sweden89.7%
13 Latvia89.6%
14 New Zealand89.0%
15 Israel87.8%
16 Denmark87.5%
17 Finland87.3%
18 Belgium85.8%
19 Mexico85.4%
20 Australia85.3%
21 Suriname84.8%
22 Estonia84.7%
23 Slovakia83.5%
24 Chile82.6%
24 Croatia82.6%
26 Slovenia82.0%
27 Hungary81.0%
28 United States80.0%
29 Lithuania79.2%
30 Czech Republic79.1%
31 India79.0%
32 Philippines78.6%
33 China78.5%
34 France78.2%
35 Poland78.0%
36 Russian Federation75.1%
37 Japan 69.9%

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 = 3.777427 X +3.292
Correlation coefficient (r)0.307
Coefficient of determination (R2)0.094

GDP per capita (current US$)
No. of data37
Regression equation
Y = 171573.409090 X -110584.440
Correlation coefficient (r)0.388
Coefficient of determination (R2)0.151

Life expectancy at birth - Both sexes (years)
No. of data36
Regression equation
Y = 18.763207 X +61.469
Correlation coefficient (r)0.196
Coefficient of determination (R2)0.038

Fertility rate, total (births per woman)
No. of data36
Regression equation
Y = 0.881285 X +0.979
Correlation coefficient (r)0.132
Coefficient of determination (R2)0.017

Suicide, age-standardized (per 100 000 population)
No. of data36
Regression equation
Y = -16.019514 X +24.777
Correlation coefficient (r)-0.180
Coefficient of determination (R2)0.032