Associate Professor of
History
University of Southern
California
213-740-1669
Segregation Indices[1]
Derived
From: “Segregated Diversity” Report, July 2000:
http://www.usc.edu/dept/LAS/history/historylab/Haynes_FR/index.html
(1)“H” Entropy (or Diversity) Index
|
|
K |
|
|
|
H= |
-Σ |
Pk |
Log
Pk |
|
|
k=1 |
|
|
Where:
N=total population size
Nk =number of persons in Kth group
Pk = Nk /N
(2)Isolation and Interaction Index[2]
Isolation:
|
|
n |
|
|
xP*x= |
Σ |
[xi/X][xi/ti] |
|
|
i=1 |
|
Interaction:
|
|
n |
|
|
xP*y= |
Σ |
[xi/X][yi/ti] |
|
|
i=1 |
|
Where:
xi = number of X members in the areal subunit i
yi = number of Y members in the areal subunit i
ti =
Total population of number of the areal subunit i
X =Number of X members county-wide
(3) Index of Dissimilarity
|
|
n |
|
|
D= |
Σ |
[ti
/ |pI-P|/2TP(1-P)] |
|
|
i=1 |
|
Where:
ti = Total population of areal subunit i
pi = “minority” population of areal subunit i
T = Total population of whole county
P = “minority” population of whole county, which is subdivided into n areal units.
(4) Index of Relative Clustering
(RCL)[3]
"This
index is a measure of relative clustering, since it compares the average
distance between X members (the minority) and Y members (the majority). It equals 0 when minority members display
the same amount of clustering as the majority, and is positive whenever minority
members display greater clustering than is typical of the majority. If minority members were less clustered than
the majority, then the index would be negative. While simple to compute and interpret, this index has the
disadvantage of having no theoretical maximum or minimum." (Massey and
Denton 1988, pp 295-6).
RCL=
Pxx/Pyy-1
Where
" Pxx " and " Pyy " are first
calculated as the
"Index
of Spatial Proximity," as follows:
|
|
n |
n |
|
|
Pxx = |
Σ |
Σ |
xi
xj cij /X2 |
|
|
i=1 |
j=1 |
|
…wherein:
|
xi |
=
the number of members of X group (Black, Hispanic, White, Other) of tract i |
|
t
j |
=
the total population of tract j |
|
X |
=
the number members of X group (Black, Hispanic, White, Other) county wide |
|
cij |
=
the negative exponential of the distance between the centroids of tract i and j. |
|
n |
=
the number of census tracts (here, 1656) |
(5)
Relative Centralization[4]
|
|
n |
|
n |
|
RCE = |
(Σ Xi-1Yi) |
- |
(Σ X iY i-1) |
|
|
i=1 |
|
i=1 |
"…Where the n areal units are
ordered by increasing distance from the central business district, and Xi and
Yi are the respective cumulative proportions of X's and Y's population in tract
i. This index varies between -1.0 and +1.0,
with positive values indicating that X members are located closer to the city
center than are members of GroupY, and negative values indicating that group X
members are distributed farther form the city center. When the index is 0, the two groups have the same spatial
distribution around the central business district. The index may be interpreted as the relative share of group X
members that would have to change their area of residence to match the degree
of centralization of Y members." (Massey and Denton 1988: 292)
Selected
Citations Regarding Segregation Indices
Lieberson,
Stanley 1981 “An Asymmetrical Approach to Segregation,” in Ethnic
Segregation in Cities, edited by Ceri Peach, Vaughn Robinson an Susan Smith
(Athens, GA: The University of Georgia Press, 1981): 61-82.
Massey,
Douglas S. and Denton, Nancy A. “The
Dimensions of Residential Segregation,” Social Forces 67:2 (December
1988): 281-315.
White,
Michael J. "The Measurement of
Spatial Segregation," American Journal of Sociology 88:5 (March
1983): 1008-1018.
White,
Michael J. “Segregation and Diversity
Measures in Population Distribution,”
Population Index. 52 (1986): 198-221.