Duncan Index Of Dissimilarity Calculator


In urban planning and sociology, the Duncan Index of Dissimilarity serves as a crucial tool to measure segregation within a population. This index quantifies the extent to which different groups are distributed evenly across various areas within a region. Calculating the Duncan Index of Dissimilarity allows researchers and policymakers to assess the level of segregation and implement strategies for fostering more inclusive communities.

How to Use

To utilize the Duncan Index of Dissimilarity calculator effectively, input the population counts of two distinct groups within each area of analysis. Ensure that the total population count for each area is accurately recorded. Once the data is entered, click the “Calculate” button to obtain the index value.


The formula for calculating the Duncan Index of Dissimilarity (D) is as follows:


  • ai​ = population of group A in area i
  • bi​ = population of group B in area i
  • A = total population of group A
  • B = total population of group B
  • n = total number of areas

Example Solve

Consider an example where there are three areas and two groups (A and B) with the following population counts:

AreaPopulation of Group APopulation of Group B

Using the formula, we can calculate the Duncan Index of Dissimilarity:


Thus, the Duncan Index of Dissimilarity for this example is approximately 0.1948.


What does the Duncan Index of Dissimilarity measure?

The Duncan Index of Dissimilarity quantifies the evenness of distribution between two distinct groups across multiple areas, indicating the level of segregation.

How is the index interpreted?

A value of 0 indicates perfect integration, while a value of 1 signifies complete segregation between the two groups.

Can the Duncan Index of Dissimilarity be applied to more than two groups?

Yes, although the formula presented here is for two groups, the index can be extended to multiple groups by modifying the formula accordingly.


The Duncan Index of Dissimilarity calculator provides a quantitative measure of segregation, aiding researchers and policymakers in assessing the spatial distribution of different demographic groups. By understanding the level of dissimilarity, interventions can be designed to promote inclusive and diverse communities.

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