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Question: Have you contacted, or attempted to contact, a politician or a civil servant to express your views, might you do that, or would you never under any circumstances do that?
Choices: "Have done it in the past year" "Have done it in the more distant past" "Have not done it but might do it" "Have not done it and would never do it"
Data: % of "Have done it in the past year" "Have done it in the more distant past"
Period:
Area:
29 countries/ areas
Highlight:
1 Canada44.0%
2 United States43.2%
3 Ireland35.9%
4 Austria 34.8%
5 Australia33.3%
6 New Zealand31.4%
7 Finland24.9%
8 Denmark24.7%
9 United Kingdom24.4%
10 Netherlands24.0%
11 Norway23.9%
12 France22.6%
13 Germany20.3%
13 Switzerland20.3%
15 Mexico20.2%
16 Sweden18.9%
17 Belgium17.6%
18 Latvia17.1%
19 Slovakia16.9%
20 Israel14.5%
21 Spain14.1%
22 Slovenia12.9%
23 Chile12.6%
24 Republic of Korea10.4%
25 Czech Republic9.8%
26 Portugal9.3%
27 Hungary6.1%
28 Japan5.8%
29 Poland5.5%

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 9 countries.

Source
ISSP 2004

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data29
Regression equation
Y = 1.959370 X +6.356
Correlation coefficient (r)0.449
Coefficient of determination (R2)0.202

Life satisfaction (10 steps)
No. of data29
Regression equation
Y = 2.205979 X +6.311
Correlation coefficient (r)0.491
Coefficient of determination (R2)0.241

GDP per capita (current US$)
No. of data29
Regression equation
Y = 147679.623739 X +19511.736
Correlation coefficient (r)0.631
Coefficient of determination (R2)0.398

Life expectancy at birth - Both sexes (years)
No. of data29
Regression equation
Y = 2.226243 X +80.833
Correlation coefficient (r)0.094
Coefficient of determination (R2)0.009

Fertility rate, total (births per woman)
No. of data29
Regression equation
Y = 0.331399 X +1.383
Correlation coefficient (r)0.102
Coefficient of determination (R2)0.010

Suicide, age-standardized (per 100 000 population)
No. of data29
Regression equation
Y = -3.017270 X +11.010
Correlation coefficient (r)-0.096
Coefficient of determination (R2)0.009