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| The '''index of dissimilarity''' is a [[demographic]] measure of the evenness with which two groups are distributed across the component geographic areas that make up a larger area. The index score can also be interpreted as the [[percent]]age of one of the two groups included in the calculation that would have to move to different geographic areas in order to produce a distribution that matches that of the larger area. The index of dissimilarity can also be used as a measure of inequality.
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| The basic formula for the index of dissimilarity is:
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| :<math>\frac{1}{2} \sum_{i=1}^N \left| \frac{b_i}{B} - \frac{w_i}{W} \right| </math>
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| where (comparing a black and white population, for example): | |
| :''b<sub>i</sub>'' = the black population of the ''i''<sup>th</sup> area, e.g. census tract
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| :''B'' = the total black population of the large geographic entity for which the index of dissimilarity is being calculated.
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| :''w<sub>i</sub>'' = the white population of the ''i''<sup>th</sup> area
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| :''W'' = the total white population of the large geographic entity for which the index of dissimilarity is being calculated. | |
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| The ID is applicable to any [[categorical variable]] (whether demographic or not) and because of its simple properties is useful for input into multidimensional scaling and clustering programs. It has been used extensively in the study of [[social mobility]] to compare distributions of origin (or destination) occupational categories.
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| ==See also==
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| *[[Kullback-Leibler distance]]
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| *[[Isolation index]]
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| ==External links==
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| *http://enceladus.isr.umich.edu/race/calculate.html
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| [[Category:Index numbers]]
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Latest revision as of 10:09, 22 October 2014
Oscar is how he's called and he completely enjoys this title. I am a meter reader but I plan on altering it. Puerto Rico is where he and his wife live. What I love performing is playing baseball but I haven't made a dime with it.
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