The purpose of this paper is to analyze gross metropolitan migration of persons employed in selected two-digit industries. An empirically testable model was developed for migration, employment change, and earnings change and implemented using data from the Social Security Administration's ten percent Continuous Work History Sample. The results showed that a significant percentage of the migration flows can be explained by the variables in the model, and notes differences across industries. Specifically, differences in cyclic and structural economic variables are noted in terms of their importance across the specified industries. The public policy implications of these results are identified.