Index_of_dissimilarity | TriviaQuestions.online

⭐ In the context of geographical segregation, the index of dissimilarity is primarily considered a measure of…

The index of dissimilarity calculates the degree to which different groups are unevenly distributed across a space, providing a numerical representation of segregation or separation between those groups.

⭐ Core Definition: Index of dissimilarity

The index of dissimilarity is a demographic measure of the evenness with which two groups are distributed across component geographic areas that make up a larger area. A group is evenly distributed when each geographic unit has the same percentage of group members as the total population. The index score can also be interpreted as the percentage 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 be used as a measure of segregation. A score of zero (0%) reflects a fully integrated environment; a score of 1 (100%) reflects full segregation. In terms of black–white segregation, a score of .60 means that 60 percent of blacks would have to exchange places with whites in other units to achieve an even geographic distribution. Index of dissimilarity is invariant to relative size of group.

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👉 Index of dissimilarity in the context of Geographical segregation

Geographical segregation exists whenever the proportions of population rates of two or more populations are not homogeneous throughout a defined space. Populations can be considered any plant or animal species, human genders, followers of a certain religion, people of different nationalities, ethnic groups, etc.

In social geography segregation of ethnic groups, social classes and genders is often measured by the calculation of indices such as the index of dissimilarity. Different dimensions of segregation (or its contrary) are recognized: exposure, evenness, clustering, concentration, centralization, etc. More recent studies also highlight new local indices of segregation.

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