Abstract
Recent economic growth and in-migration have led to an interesting patchwork of rapidly growing counties in the United States. This paper identifies 299 U.S. counties that were growing at least 70% from 1970 to 1990, a rate greater than one standard deviation above the mean of all counties. Using a k-means cluster algorithm, seven distinct types of rapidly growing counties, with meaningful spatial patterns, were found. Four of these clusters were primarily urban: smaller fast-growing cities in the south, large sunbelt cities, as well as both white and blue-collar suburban counties ringing many of the more dynamic metropolitan regional centers of the country. Also, there were two predominately rural clusters: retirement counties and several counties in the Intermontane West characterized by environmental amenities and isolated growth. Lastly, we observed a distinct cluster of several Hispanic counties in the southwest primarily along the U.S.–Mexico border. We believe these seven clusters present a remarkably clear portrait of the significant forces underlying the rapid growth of counties in the United States.
Published Version
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