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Question: These five diagrams show different types of society. Please read the descriptions and look at the diagrams and decide which you would prefer the country ought to be.
Type AType BType CType DType E
A small elite at the top, very few people in the middle and the great mass of people at the bottom.A society like a pyramid with a small elite at the top, more people in the middle, and most at the bottom.A pyramid except that just a few people are at the bottom.A society with most people in the middle.Many people near the top, and only a few near the bottom.

Data: % of Type E
Period:
Area:
30 countries/ areas
Highlight:
1 Latvia35.9%
2 Iceland35.3%
3 Chile35.2%
4 Poland35.0%
5 Sweden32.3%
6 Denmark30.1%
7 Turkiye28.4%
8 Italy27.7%
9 United States26.4%
10 New Zealand24.7%
10 Norway24.7%
12 Lithuania24.0%
13 Australia23.3%
14 Slovakia23.2%
15 Austria22.9%
16 Slovenia22.3%
17 Czech Republic21.4%
17 Finland21.4%
17 Republic of Korea21.4%
20 France20.8%
21 Spain20.6%
22 Portugal20.2%
23 Hungary19.5%
24 Estonia18.2%
25 Japan 16.9%
26 Belgium16.7%
27 Israel16.0%
28 United Kingdom15.4%
29 Germany12.9%
30 Switzerland10.2%

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 = -1.295910 X +7.023
Correlation coefficient (r)-0.132
Coefficient of determination (R2)0.017

GDP per capita (current US$)
No. of data30
Regression equation
Y = -68403.921549 X +58985.119
Correlation coefficient (r)-0.213
Coefficient of determination (R2)0.045

Life expectancy at birth - Both sexes (years)
No. of data30
Regression equation
Y = -10.599823 X +82.984
Correlation coefficient (r)-0.263
Coefficient of determination (R2)0.069

Fertility rate, total (births per woman)
No. of data30
Regression equation
Y = -0.117012 X +1.598
Correlation coefficient (r)-0.024
Coefficient of determination (R2)0.001

Suicide - all ages (per 100,000 population)
No. of data30
Regression equation
Y = -5.508159 X +14.791
Correlation coefficient (r)-0.068
Coefficient of determination (R2)0.005