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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:
29 countries/ areas
Highlight:
1 United States3.1%
2 Slovakia2.9%
3 Austria1.9%
4 Portugal1.8%
5 Hungary1.7%
5 Poland1.7%
7 Germany1.5%
8 Slovenia1.4%
8 Switzerland1.4%
8 Turkiye1.4%
8 United Kingdom1.4%
12 Czech Republic1.2%
12 Israel1.2%
14 Australia1.0%
14 Lithuania1.0%
14 Spain1.0%
17 Belgium0.9%
18 Chile0.8%
18 France0.8%
18 Italy0.8%
18 Japan 0.8%
22 New Zealand0.7%
23 Estonia0.6%
23 Republic of Korea0.6%
25 Sweden0.5%
26 Norway0.4%
27 Iceland0.2%
28 Denmark0.1%
28 Finland0.1%

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 9 countries.

Source
ISSP 2009

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data29
Regression equation
Y = -26.931013 X +7.043
Correlation coefficient (r)-0.288
Coefficient of determination (R2)0.083

GDP per capita (current US$)
No. of data29
Regression equation
Y = -690942.286429 X +51565.966
Correlation coefficient (r)-0.228
Coefficient of determination (R2)0.052

Life expectancy at birth - Both sexes (years)
No. of data29
Regression equation
Y = -197.872698 X +82.921
Correlation coefficient (r)-0.546
Coefficient of determination (R2)0.298

Fertility rate, total (births per woman)
No. of data29
Regression equation
Y = 3.361858 X +1.534
Correlation coefficient (r)0.072
Coefficient of determination (R2)0.005

Suicide - all ages (per 100,000 population)
No. of data29
Regression equation
Y = -30.967261 X +13.624
Correlation coefficient (r)-0.041
Coefficient of determination (R2)0.002