Quantile Data:
People, Resources		Resources
per Quantile		#Inequalities and resource per quantile element
7,*18000
10,*22000
280,*25000
15,*35000
15,*40000
50,*60000
10,*75000
6,*80000
4,*120000
2,*200000
1,1000000

126000.0
220000.0
7000000.0
525000.0
600000.0
3000000.0
750000.0
480000.0
480000.0
400000.0
1000000.0

1
2
3
4
5
6
7
8
9
10
11

400 quantile elements, 11 quantiles

Mean:                       36452.500 
Median:         31.4%       25000.000 (#3/11)
 
           Inequality         Welfare
1-e^-TheilT:    24.9%       48529.118   (1/Welfare)
1-e^-TheilL:    15.3%       30871.263 
1-e^-TheilS:    20.2%       29073.902 
Gini:           28.0%       26259.456 
Plato:          33.0%       24425.644   Pareto: 665/335
100%-SOEP:      43.7%       20521.206 
Hoover:         24.0%       27697.050 

Theil-T Redundancy:         0.286
Theil-L Redundancy:         0.166
Symmetric Redundancy:       0.226
Inequality Issuization:    -0.014

With "*" the resources are per capita. (If there is only 1 person per quantile or all quantiles have the same amount of persons, then "*" is not necessary.)
Without "*" the resources are per quantile. (The resources are the total of the resources of all people in the quantile.)

inequality.2.6.0.py.cgi.zip 2008-04-15, modified CGI Version of "inequality-2.0.0", 2007-07-22. Latest revision: 2019-06-10, G.Kluge [272412]