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Social scientists, geographers, criminologists, and health scientists are often tasked with finding data to best capture the impact of "community context" on individual outcomes, including residential services, physical resources, and social institutions. One outlet for such data in Canada is Digital Map Technologies Inc. (DMTI) Spatial, which offers a national repository of over one million businesses and recreational points of interest. The database is generated through CanMap Streetfiles, which includes geocodes of each point's precise location. These data are available to researchers from their university data library and Esri Canada, but primarily available to private sector and government markets. That said, the goal of the current paper is to encourage researchers to access this rich yet under‐utilized data source. Each service, business, or resource in the DMTI Spatial database is assigned to a respective category using Standard Industrial Classification codes and North American Industrial Classification System codes. It is not clear, however, which is the more reliable coding criteria. We provide an overview of our review of DMTI Spatial data and take‐away suggestions for using this valuable resource for future research on meso‐level residential markers. Key messages: The goal of this paper is to outline existing data source(s) and measures from DMTI Spatial that might help capture meso‐level residential institutions.We recommend "best practices" for using DMTI Spatial data in researchers' own work to capture neighbourhood resources/amenities, or the social infrastructure of the community using either Standard Industrial Classification codes or North American Industrial Classification System codes.We conclude that Standard Industrial Classification codes in DMTI Spatial enhanced points of interest data are more complete—and more accurate—than North American Industrial Classification System codes. [ABSTRACT FROM AUTHOR]

Territorial inequalities have long been a subject of study and concern in Canada. In the face of large structural changes such as industrial shifts and the decarbonization of our economies, there is an urgency to understand such inequalities and design effective policy interventions for those places facing persistent economic decline. This paper shares a novel composite index that measures economic disparity across Canadian Census Subdivisions (CSDs) using Census data from 2001 through 2016 and the 2011 National Household Survey. Named the "Index of Economic Disparity," it is comprised of an equally weighted average of four sub‐indices that assign percentile rankings for all CSDs based on whether they experience persistent and substantial decline in key economic areas: population, labour force outcomes, working‐age share of population, and industrial diversity. The variation of outcomes across geographies—urban and rural—highlights the importance of place‐based policies. [ABSTRACT FROM AUTHOR]