Volume 15, Issue 4

2004

 

 

Suburbs are becoming increasingly diverse as they continue to comprise larger portions of the metropolitan population and employment. Former perceptions of suburban uniformity are being eroded by the variance in form and function that now characterizes them. This article analyzes data collected on 3,567 non-central-city, incorporated, metropolitan places in the United States along the dimensions of population, place, economy, and government. Specifically, a hierarchical clustering procedure, combined with discriminant analysis, identifies 10 distinct types of suburbs in the data.

 

Level, composition, and combinations of wealth, employment, and race drive the distinctions among suburban clusters, many of which do not fit our traditional characterizations of suburbia. In fact, only about half of all the suburbs considered are strongly characterized by these traditional traits, and these suburbs contain less than one out of every three residents considered in the analysis.