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Question: How important is having political connections 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 Slovakia46.4%
2 Italy42.5%
3 Israel40.1%
4 Slovenia38.6%
5 Hungary38.4%
6 Austria 37.1%
7 Poland36.8%
8 Turkiye34.0%
9 Latvia30.5%
10 Spain27.9%
11 Lithuania27.0%
12 Republic of Korea26.0%
13 Czech Republic23.6%
14 Portugal22.5%
15 Chile22.4%
16 United States20.2%
17 Estonia17.0%
18 Belgium16.3%
19 Iceland16.1%
20 Germany14.2%
21 Australia11.4%
22 Switzerland10.7%
23 Japan10.0%
24 Norway9.4%
25 France8.3%
26 United Kingdom7.2%
27 Sweden6.8%
28 Finland6.2%
29 New Zealand4.2%
30 Denmark3.8%

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 = -2.200969 X +7.167
Correlation coefficient (r)-0.490
Coefficient of determination (R2)0.240

GDP per capita (current US$)
No. of data30
Regression equation
Y = -99288.954906 X +65031.613
Correlation coefficient (r)-0.547
Coefficient of determination (R2)0.299

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -12.810676 X +82.976
Correlation coefficient (r)-0.485
Coefficient of determination (R2)0.235

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = 0.181667 X +1.550
Correlation coefficient (r)0.068
Coefficient of determination (R2)0.005

Suicide, age-standardized (per 100 000 population)
No. of data30
Regression equation
Y = -3.612877 X +11.365
Correlation coefficient (r)-0.112
Coefficient of determination (R2)0.013