Three dimensions, 2010

The analysis of neighborhood types in Chicago, 2010, suggested that three oblique key-cluster dimensions underlaid the 34 variables used in the computations. The dimensions are listed below with their correlations to the most salient dimension definers (note that the names of the dimensions are a little arbitrary; some of these dimensions are quite complex in character):

• Wealthy/High Professional Status vs. Impoverished/Low Professional Status [Welloff vs. Poor]. The eleven definers are:

[+.876] Mean per capita income

[+.872] Median household income

[+.863] Percent with college degree

[-.846] Percent of households with female head of household

[+.807] Percent with managerial/professional occupation

[+.797] Percent non-Hispanic white

[+.745] Median value of owner-occupied housing units

[-.716] Percent unemployed

[-.678] Percent African-American

[-.600] Percent on public assistance

[+.545] Median monthly rent of rented housing units

• Urban vs. Suburban. The ten definers are:

[-.894] Percent in owner-occupied dwelling

[-.888] Percent in married-couple household

[-.867] Percent in single-family housing unit

[+.850] Percent of households with no car

[+.788] Percent of households that are “non-family”

[+.761] Percent using public transportation to get to work

[+.621] Percent of population 19-29

[+.616] Percent of housing units in buildings with ten or more housing units

[+.539] Population density

[-.474] Year housing unit built

• Linguistically Isolated/Hispanic vs. English-Speaking/ Native-Born [NonEng vs. Native]. The three definers are:

[+.936] Percent linguistically isolated

[+.869] Percent Hispanic

[+.861] Percent foreign-born

The three dimensions are intercorrelated as follows.