Abstract

Southern Metropolitan Statistical Areas (MSA) are rated among the nation's leaders in population growth in recent decades. Growth and rankings of MSAs are examined using Pannell's (1974) method. A linear rank-size pattern of cities is revealed, with centers of greatest population growing larger while smaller centers follow with proportionally smaller population changes. A regression model provided some support for the contention that city sizes affect city growth rates. Additional factors in southern metropolitan growth and decline were considered. Introduction of a labor cost factor into the regression model provided moderate support in accounting for variation in MSA growth rates. Several MSAs grew at rates predicted by the regression model while others performed differently than expected. Explanations for variations are presented for selected MSAs.

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