The census tract-based residential segregation literature rests on problematic assumptions about geographic scale and proximity. We pursue a new tract-free approach that combines explicitly spatial concepts and methods to examine racial segregation across egocentric local environments of varying size. Using 2000 census data for the 100 largest U.S. metropolitan areas, we compute a spatially modified version of the information theory index H to describe patterns of black-white, Hispanic-white, Asian-white, and multi-group segregation at different scales. The metropolitan structural characteristics that best distinguish micro-segregation from macro-segregation for each group combination are identified, and their effects are decomposed into portions due to racial variation occurring over short and long distances. A comparison of our results to those from tract-based analyses confirms the value of the new approach.

This article addresses an aspect of racial residential segregation that has been largely ignored in prior work: the issue of geographic scale. In some metropolitan areas, racial groups are segregated over large regions, with predominately white regions, predominately black regions, and so on, whereas in other areas, the separation of racial groups occurs over much shorter distances. Here we develop an approach-featuring the segregation profile and the corresponding macro/micro segregation ratio-that offers a scale-sensitive alternative to standard methodological practice for describing segregation. Using this approach, we measure and describe the geographic scale of racial segregation in the 40 largest U.S. metropolitan areas in 2000. We find considerable heterogeneity in the geographic scale of segregation patterns across both metropolitan areas and racial groups, a heterogeneity that is not evident using conventional "aspatial" segregation measures. Moreover, because the geographic scale of segregation is only modestly correlated with the level of segregation in our sample, we argue that geographic scale represents a distinct dimension of residential segregation. We conclude with a brief discussion of the implications of our findings for investigating the patterns, causes, and consequences of residential segregation at different geographic scales.

Using data from a national survey of public attitudes toward homeless people, this paper evaluates the applicability of the contact hypothesis to in-group/out-group relations that fail to meet the optimal conditions specified in the contact literature. Past efforts are extended by (1) moving beyond face-to-face encounters to consider multiple types of ingroup exposure to a highly stigmatized out-group, (2) examining a variety of attitudinal outcomes, and (3) incorporating community context as a possible antecedent of such outcomes. Even after taking selection and social desirability processes into account, all types of exposure are found to affect public attitudes in the predicted (favorable) direction. Moreover, the size of the local homeless population—our primary measure of context-shapes opportunities for most forms of exposure and thus influences attitudes indirectly. These findings suggest that the scope of the contact hypothesis needs to be widened rather than narrowed.

We use newly developed methods of measuring spatial segregation across a range of spatial scales to assess changes in racial residential segregation patterns in the 100 largest U.S. metropolitan areas from 1990 to 2000. Our results point to three notable trends in segregation from 1990 to 2000: 1) Hispanic-white and Asian-white segregation levels increased at both micro- and macro-scales; 2) black-white segregation declined at a micro-scale, but was unchanged at a macro-scale; and 3) for all three racial groups and for almost all metropolitan areas, macro-scale segregation accounted for more of the total metropolitan area segregation in 2000 than in 1990. Our examination of the variation in these trends among the metropolitan areas suggests that Hispanic-white and Asian-white segregation changes have been driven largely by increases in macro-scale segregation resulting from the rapid growth of the Hispanic and Asian populations in central cities. The changes in black-white segregation, in contrast, appear to be driven by the continuation of a 30-year trend in declining micro-segregation, coupled with persistent and largely stable patterns of macro-segregation.

This study investigates the changing racial diversity and structure of metropolitan neighborhoods. We consider three alternative perspectives about localized racial change: that neighborhoods are bifurcating along a white/nonwhite color line, fragmenting into homogeneous enclaves, or integrating white, black, Latino, and Asian residents into diverse residential environments. To assess hypotheses drawn from these perspectives, we develop a hybrid methodology (incorporating the entropy index and majority-rule criteria) that offers advantages over previous typological efforts. Our analysis of 1990–2000 census tract data for the 100 largest U.S. metropolitan areas finds that most neighborhoods are becoming more diverse and that members of all groups have experienced increasing exposure to neighborhood diversity. However, white populations tend to diminish rapidly in the presence of multiple minority groups and there has been concomitant white growth in low-diversity neighborhoods. Latino population dynamics have emerged as a primary force driving neighborhood change in a multi-group context.