We empirically evaluate the distribution of spatial patterns at the census tract (CT) level for various immigration and property crime measures in Vancouver, British Columbia, 2003 and 2016, using a spatial point pattern test that identifies significant similarities, or otherwise, in the spatial patterns of (a) multiple measures of immigration, (b) various property crime classifications, and (c) immigration and crime patterns together. Results show local-level variations in the spatial concentration of immigration in Vancouver CTs. The use of multiple measures of immigration showed substantive variations of immigrant settlement at the local level. Moreover, results reveal that while immigrant concentration patterns are stable over time and, thus, demonstrate ecological stability, property crime patterns shift from year to year. The spatial analytic approach utilized in this study provides support for the use of local-level spatial models and the multidimensional operationalization of the immigration variable even when their correlations are high. There is heterogeneity among immigrant groups, an important yet often overlooked aspect in assessments of immigration effects on crime.