Finding the right Canadian location means understanding the people, traffic, competition, and context around each candidate address — not just its coordinates. Neighbourly gives site selection teams the structured demographic, POI, and boundary data to evaluate locations at scale, without building GIS infrastructure.
Canadian franchise site selection has historically relied on a combination of gut feel, drive-time analysis, and demographic reports pulled from Statistics Canada PDFs. The teams that are winning in the current market are the ones that have moved beyond this — evaluating locations with structured, API-accessible data that makes trade area analysis repeatable and defensible.
Neighbourly provides the data foundation for modern Canadian site selection. Query any candidate address and get back neighbourhood demographics (income, age, population density, household composition), nearby points of interest (anchor tenants, competitors, transit, foot traffic generators), neighbourhood boundary shapes for trade area mapping, and business density by category for gap analysis.
Because it's all delivered via REST API with GeoJSON output, it integrates cleanly into site selection tools, market mapping platforms, and internal analytics workflows — without the data licensing overhead of traditional GIS data products.
Tell us about your expansion markets, your site evaluation process, and the data gaps you're working around. We'll show you what's possible.
Common questions about this data and how to use it.
To evaluate Canadian locations with structured demographic, points-of-interest, and neighbourhood data — without building GIS infrastructure.
Business density, points of interest, demographics, and neighbourhood boundaries around any candidate location.
Yes. Query any address or area to compare demographics, competition, and activity.
Through a single REST API, or as managed reports. Contact us to discuss.
Canada-wide, with density highest in metro markets. See the coverage page for detail.