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16 Cards in this Set

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Index of dissimilarity (D)

This is a measure of distribution, or evenness. If a group is not segregated, it's population is distributed evenly across all neighborhoods.




D- empirical methodology for measuring the degree of all neighborhoods

Index of dissimilarity example

2010 Census _




African Americans experience the most racial segregation


Then Hispanics


Asians experience the least segregation

Hypersegregation-


Massey & Denton (1988)

5 Measures of segregation: Evenness, Exposure, centralization, clustering, concentration


*** Study looks at places where ethnic groups have 4 out of 5 of these

evenness

similarity of groups across neighborhoods


(index of dissimilarity)

Exposure/ Isolation

captures the typical composition of neighborhoods where members live

(index of isolation)



Centralization

degree to which group members live close to the center of the city, relative to other groups

Clustering

degree to which group members live in neighborhoods that are close together within the city

Concentration

describes the extent to which a group lives in a restricted amount of space

Massey and Denton Hyper-segregation Findings

1980-2000 Mainly blacks experienced the hyper segregation after 2000 hyper-segregation decreased

Segregated Buffalo, 6th most segregated city in america

What causes segregation

Economics- difference in income


discrimination- especially in the housing market


preferences- 2 arguments (1. minorities self-segregate) (2.whites disapprove of any minority)

Racial Dot map

Racial Dot map

Racial Dot map

How poverty is concentrated in different areas around the country