A Classification of Large American Urban Areas.
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This study presents a new classification of the 125 largest SMSAs. The classification is data-based. Variables were chosen that bore on important urban problems. Factor analysis reduced 53 variables to these eight factors: manufacturing, inequality, city-suburb contrasts, growth, age of population, unemployment, density, and education. The SMSAs were divided into homogeneous clusters by their factor scores. The clusters can often be identified as geographic regions, since the cities in the region share history and economic development that is reflected in the data. Appendixes discuss the datafile, the methods, the recent literature in classification, and a cross-sectional model of central city decline. 74 pp. Bibliog.
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