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Question: To what extent do you agree or disagree with the following statements? "Most politicians are in politics only for what they can get out of it personally"Choices: "Strongly agree" "Agree" "Neither agree nor disagree" "Disagree" "Strongly disagree"
Data: % of "Strongly agree" "Agree"
Period:
Area:
34 countries/ areas
Highlight:
1 Slovenia84.4%
2 Venezuela83.3%
3 Croatia80.2%
4 Czech Republic78.4%
5 Poland77.1%
6 South Africa76.4%
7 Slovakia74.9%
8 Spain74.6%
9 Lithuania73.8%
10 Taiwan72.9%
11 Georgia67.7%
12 Chile65.9%
12 France65.9%
14 Republic of Korea65.0%
15 India60.0%
15 Philippines60.0%
17 United States58.5%
18 Russian Federation56.8%
19 Japan 52.9%
20 Austria52.4%
21 Hungary51.5%
22 Finland51.2%
23 Belgium50.5%
24 Turkiye49.9%
25 United Kingdom48.7%
26 Israel47.9%
27 Australia46.6%
28 Germany44.6%
29 Denmark32.9%
30 Switzerland32.5%
31 Iceland32.3%
32 Netherlands29.9%
33 Sweden24.2%
34 Norway17.1%

Note
Can't choose/ No answer are excluded.

No data for 204 countries.

Source
ISSP 2014

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data34
Regression equation
Y = -1.979338 X +7.650
Correlation coefficient (r)-0.481
Coefficient of determination (R2)0.231

Life satisfaction (10 steps)
No. of data34
Regression equation
Y = -2.075127 X +7.688
Correlation coefficient (r)-0.496
Coefficient of determination (R2)0.246

Life satisfaction (10 steps)
No. of data34
Regression equation
Y = -2.209418 X +7.743
Correlation coefficient (r)-0.488
Coefficient of determination (R2)0.238

GDP per capita (current US$)
No. of data33
Regression equation
Y = -108437.127671 X +104298.730
Correlation coefficient (r)-0.731
Coefficient of determination (R2)0.534

Life expectancy at birth - Both sexes (years)
No. of data33
Regression equation
Y = -11.064411 X +85.669
Correlation coefficient (r)-0.437
Coefficient of determination (R2)0.191

Fertility rate, total (births per woman)
No. of data33
Regression equation
Y = 0.084974 X +1.474
Correlation coefficient (r)0.040
Coefficient of determination (R2)0.002

Suicide, age-standardized (per 100 000 population)
No. of data33
Regression equation
Y = 3.368282 X +8.949
Correlation coefficient (r)0.138
Coefficient of determination (R2)0.019