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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 A
Period:
Area:
40 countries/ areas
Highlight:
1 Venezuela12.6%
2 Philippines5.9%
3 United States3.1%
4 Slovakia2.9%
5 South Africa2.4%
6 Austria1.9%
6 China1.9%
8 Portugal1.8%
8 Russian Federation1.8%
10 Hungary1.7%
10 Poland1.7%
12 Germany1.5%
13 Slovenia1.4%
13 Switzerland1.4%
13 Turkiye1.4%
13 United Kingdom1.4%
17 Croatia1.2%
17 Czech Republic1.2%
17 Israel1.2%
20 Ukraine1.1%
21 Australia1.0%
21 Lithuania1.0%
21 Spain1.0%
24 Belgium0.9%
25 Argentina0.8%
25 Chile0.8%
25 France0.8%
25 Italy0.8%
25 Japan0.8%
30 New Zealand0.7%
31 Estonia0.6%
31 Republic of Korea0.6%
33 Sweden0.5%
34 Norway0.4%
35 Taiwan0.3%
36 Bulgaria0.2%
36 Iceland0.2%
38 Cyprus0.1%
38 Denmark0.1%
38 Finland 0.1%

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 198 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data40
Regression equation
Y = -15.138621 X +6.675
Correlation coefficient (r)-0.398
Coefficient of determination (R2)0.158

GDP per capita (current US$)
No. of data40
Regression equation
Y = -399110.323066 X +41443.063
Correlation coefficient (r)-0.351
Coefficient of determination (R2)0.123

Life expectancy at birth - Both sexes (years)
No. of data39
Regression equation
Y = -98.120600 X +80.412
Correlation coefficient (r)-0.461
Coefficient of determination (R2)0.213

Fertility rate, total (births per woman)
No. of data39
Regression equation
Y = 7.534874 X +1.515
Correlation coefficient (r)0.414
Coefficient of determination (R2)0.171

Suicide - all ages (per 100,000 population)
No. of data39
Regression equation
Y = -89.362264 X +14.360
Correlation coefficient (r)-0.292
Coefficient of determination (R2)0.085