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Principle components analysis and multiple regression were used to examine spatial variations in quality of life indicators, and relationships between quality of life indicators and net migration rates for North Dakota counties between 1980 and 1990. Three quality of life dimensions were identified: Affluence, Suffering, and Demography. Of the three derived indicators, Affluence was the best overall statistical determinant of county migration rates. Adverse quality of life and migration trends were especially evident for counties with high non-white population proportions; such counties may need special development policies.