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Question: How important is giving bribes for getting ahead in life?
Choices: "Essential" "Very important" "Fairly important" "Not very important" "Not important at all"
Data: % of "Essential" "Very important"
Period:
Area:
30 countries/ areas
Highlight:
1 Hungary26.9%
2 Slovakia21.4%
3 Lithuania19.5%
4 Poland19.0%
5 Slovenia16.5%
6 Latvia16.2%
7 Italy15.9%
8 Israel12.9%
9 Turkiye12.8%
10 Czech Republic12.7%
11 Portugal8.6%
12 Austria8.0%
13 Spain7.4%
14 Chile7.0%
15 Republic of Korea6.9%
16 Estonia5.5%
17 Belgium5.3%
18 Germany4.4%
19 France3.5%
20 United States2.8%
21 Japan 2.7%
22 United Kingdom2.1%
23 Australia2.0%
23 Iceland2.0%
25 Switzerland1.6%
26 Sweden1.5%
27 Finland1.4%
27 New Zealand1.4%
27 Norway1.4%
30 Denmark0.7%

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

No data for 8 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data30
Regression equation
Y = -4.900045 X +7.128
Correlation coefficient (r)-0.536
Coefficient of determination (R2)0.287

GDP per capita (current US$)
No. of data30
Regression equation
Y = -211253.404866 X +60560.250
Correlation coefficient (r)-0.708
Coefficient of determination (R2)0.501

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -26.790293 X +82.733
Correlation coefficient (r)-0.716
Coefficient of determination (R2)0.513

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.289744 X +1.547
Correlation coefficient (r)0.065
Coefficient of determination (R2)0.004

Suicide - all ages (per 100,000 population)
No. of data30
Regression equation
Y = 9.062648 X +12.745
Correlation coefficient (r)0.120
Coefficient of determination (R2)0.014