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Question: How often do you think that people would try to take advantage of you if they got the chance, and how often would they try to be fair?
Choices: "Try to take advantage almost all of the time" "Try to take advantage most of the time" "Try to be fair most of the time" "Try to be fair almost all of the time"
Data: % of "Try to be fair most of the time" "Try to be fair almost all of the time"
Period:
Area:
38 countries/ areas
Highlight:
1 Denmark85.2%
2 Austria82.2%
3 Switzerland81.8%
4 Netherlands78.6%
5 Norway78.4%
6 Germany76.8%
7 Cyprus75.2%
8 Taiwan74.9%
9 Ireland73.9%
10 Hungary71.3%
11 New Zealand71.0%
12 Canada70.1%
13 France67.2%
14 United States66.8%
15 Japan65.6%
16 Sweden64.4%
17 Australia64.3%
18 Finland 62.9%
19 Philippines62.4%
20 Republic of Korea61.6%
21 United Kingdom61.5%
22 Russian Federation57.3%
23 Czech Republic55.7%
24 Belgium54.7%
25 Latvia54.0%
26 Israel52.9%
27 South Africa49.5%
28 Uruguay49.3%
29 Slovenia46.9%
30 Slovakia46.5%
31 Bulgaria46.3%
32 Portugal46.0%
33 Spain45.6%
34 Chile45.1%
35 Mexico40.7%
36 Poland40.2%
37 Venezuela32.5%
38 Brazil31.0%

Note
Can't choose/ No answer are excluded. Belgium: Flanders only. Germany: unweighted sum of West and East Germany. United Kingdom: excluding Northern Ireland.

No data for 200 countries.

Source
ISSP 2004

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data38
Regression equation
Y = 3.003153 X +4.768
Correlation coefficient (r)0.613
Coefficient of determination (R2)0.376

GDP per capita (current US$)
No. of data38
Regression equation
Y = 127746.336128 X -38353.535
Correlation coefficient (r)0.726
Coefficient of determination (R2)0.527

Life expectancy at birth - Both sexes (years)
No. of data37
Regression equation
Y = 14.699230 X +70.307
Correlation coefficient (r)0.480
Coefficient of determination (R2)0.230

Fertility rate, total (births per woman)
No. of data37
Regression equation
Y = -0.694614 X +2.060
Correlation coefficient (r)-0.269
Coefficient of determination (R2)0.072

Suicide - all ages (per 100,000 population)
No. of data37
Regression equation
Y = 4.766321 X +10.006
Correlation coefficient (r)0.113
Coefficient of determination (R2)0.013