Three dimensions, 2020

The analysis of neighborhood types in Chicago in 2020 suggests that three oblique key-cluster dimensions underlie 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 (with their oblique factor coefficients) are:

[+.886] Mean per capita income
[+.880] Percent of population 25+ with college degree
[+.873] Median household income
[+.838] Percent of workers 16+ with managerial/professional occupation
[-.836] Percent of households with female householder
[+.785] Median value of owner-occupied housing units
[+.742] Percent non-Hispanic white (alone)
[-.677] Percent of families below poverty line
[-.642] Percent of population non-Hispanic African-American (alone)
[+.632] Median monthly rent of occupied rented housing units
[+.488] Percent with Russian or Ukrainian ancestry

Urban vs. Suburban.

The eleven definers are:

[-.889] Percent in owner-occupied dwelling
[-.867] Percent in single-family housing unit
[+.829] Percent of housing units with no vehicle
[-.820] Percent of households with married-couple
[+.788] Percent of households that are “non-family”
[+.721] Percent of workers 16+ using public transportation to get to work
[+.685] Persons per square kilometer
[+.654] Percent of housing units in buildings with ten or more housing units
[-.648] Percent of population aged 50-64
[+.603] Percent of population aged 19-29
[+.507] Percent of households with same-sex spouses or partners

Linguistically Isolated/Hispanic vs. English-Speaking/Native-Born [NonEng vs. Native].

The three definers are:

[+1.026] Percent unable to speak English well
[+.843] Percent foreign-born
[+.767] Percent Hispanic/Latino

The three dimensions are intercorrelated as follows.