A two-step paradigm is employed to analyse intra-urban migration patterns within Israeli towns . In step 1 of the paradigm, census-derived predictor macro-variables descriptive of towns are classified according to the intersection of two nominal dimensions . The three levels of dimension 1 correspond to the three factors emergent from a factor analysis of the predictor variables . These are labelled as representing either economic level, demographic composition or social features of the towns . Dimension 2 was a priori defined as being dichotomous, as it represented each variable's enhancing (a positive .8-coefficient) or inhibiting (a negative 8-coefficient) effect on intra-urban migration rates. Six cells result from the intersection of the two dimensions . Multivariate regression analysis is carried out within each level of the two dimensions . Regression analysis within the inhibitor level of dimension 1 reveals that four variables inhibited urban residential change: homeownership, relatively high income, religiosity level of the town and median age of the town's population . These variables are distributed among the three levels of dimension 2 . These results partially parallel findings concerning inmigration to Israeli towns that economic variables are crucial to locational decisions . However, with respect to intra-urban moves, economic considerations are less salient . Implications concerning basic urban policy decisions are discussed.