Example of a Composite Measure
Using
the “Index of Dissimilarity” to Measure Residential Racial Segregation
By
Steven W. Peuquet, Ph.D.
Center
for Community Research & Service, University of Delaware
Definition
The “index of dissimilarity” (D)
is the most commonly used and accepted method of measuring segregation, and
compares how evenly one population sub-group is spread out geographically
compared to another population sub-group. The sub-groups analyzed can be
defined in a variety of ways, including race (e.g., blacks compared to whites),
ethnicity (e.g., Hispanics compared to non-Hispanics) or income (e.g., people
in poverty compared to those not in poverty).
Calculation
The Index of Dissimilarity is calculated mathematically as
follows:
D = 100*0.5 *S | Pxi/Px -
Pyi/Py|
Where:
D = the index of dissimilarity for two groups
being compared within a specific
geographic
area
Pxi = the population of group x in census tract i
Px = the
total population of group x in the overall geographic area
Pyi = the
population of group y in census tract i
Py = the
total population of group y in the overall geographic area
S = the Greek letter “sigma” indicating the summation of terms
Interpretation
The index equals 0.0, indicating
complete integration of the two sub-groups, when all census tracts within the
geographic area being analyzed have the same proportion of population sub-group
members as in the whole geographic area. The opposite extreme is when the index
equals 100.0, indicating complete segregation. In this extreme case, a few
census tracts consist entirely of members of one population sub-group, while
all the others contain all the members of the other population sub-group. Another, perhaps easier way to interpret the
value of the index is that it indicates the percentage of either sub-group
(e.g., blacks or whites) who would have to move to another census tract in
order for both sub-groups to be distributed evenly so as to achieve complete
integration. In a totally segregated
environment (D = 100.0), 100% of either sub-group would have to move to
achieve complete integration. Index values between 0.0 and 30.0 indicate low
segregation, values between 31.0 and 60.0 indicate moderate segregation, and
values between 61.0 and 100.0 indicate a high level of segregation (Massey and
Denton, 1993, p. 20) (Exhibit IV-1).
Sources: Massey and Denton, 1993, p. 20; University of Delaware
Applying the Index to New Castle County, Delaware
In our analysis of African Americans (blacks) and Caucasians (whites), the results show that the index has been dropping consistently over this 30-year period for the county as a whole. The index stood at 73.6 in 1970, 64.0 in 1980, 56.2 in 1990, and continued to fall to 50.8 in 2000 (Exhibit IV-7). This means that in the year 2000, 51% of blacks would have had to move from their present census tract to other tracts for the county to have become totally unsegregated.
When the city of Wilmington is analyzed separately, a positive, albeit minor
improvement is apparent. The City’s
index value stood at 60.4 in 1970, then fell slightly to 59.7 and 59.6 for 1980
and 1990 respectively. By the end of
the 20th century the index stood at 56.5, only a minor downward
change from where it was 30 years earlier in 1970 (Exhibit IV-7).
Overall, while the downward trend in the level of the
black/white index of dissimilarity is encouraging, index values of 51.8 and
56.5 for New Castle County and Wilmington respectively for the year 2000 are
within the upper part of the range which Massey and Denton define as
“moderately segregated.”
The index of dissimilarity was also calculated for Hispanics and non-Hispanics
for the years 1990 and 2000. This index
for the overall county stood at 35.8 in 1990 and increased slightly to 36.4 in
2000. For Wilmington the index dropped slightly from 48.5 to 45.5 over this
10-year period (Exhibit IV-8). Like
national findings, the results in New Castle County show that as the size of
the Hispanic population continues to grow, it is not nearly as segregated as
the African American population, and the degree of its segregation has changed
little over the recent past.
Sources: University of Delaware; U.S. Census Bureau
Sources: University of
Delaware; U.S. Census Bureau