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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 Japan2.7%
22 United Kingdom2.1%
23 Australia2.0%
23 Iceland2.0%
25 Switzerland1.6%
26 Sweden 1.5%
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 = -3.904456 X +7.012
Correlation coefficient (r)-0.489
Coefficient of determination (R2)0.239

GDP per capita (current US$)
No. of data30
Regression equation
Y = -214069.494401 X +61172.791
Correlation coefficient (r)-0.663
Coefficient of determination (R2)0.440

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -32.558932 X +82.890
Correlation coefficient (r)-0.693
Coefficient of determination (R2)0.480

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.063064 X +1.585
Correlation coefficient (r)0.013
Coefficient of determination (R2)0.000

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = 2.207989 X +10.392
Correlation coefficient (r)0.038
Coefficient of determination (R2)0.001