Location analytics, powered by boundaries at every tier.
Analytics is only as good as its geography. We give you Canada's full boundary hierarchy — six nested tiers, real MultiPolygon shapes — so trade-area analysis, site selection and market rankings all run on one consistent, comparable spine.
Most location analysis breaks on geography. Demographics arrive at one set of areas, competitors at another, and trade areas are drawn a different way for every site — so nothing compares cleanly and nothing rolls up. The insight is in the data; it is the boundaries that are missing.
Six nested levels, one geography.
Every listing, permit, business and data point resolves to its place in the hierarchy — and because each tier nests into the next, you can analyse at any level and move between them without losing comparability.
Country
National context and Canada-wide roll-ups — total addressable market, cross-region comparisons, and the top of every drill-down.
Province
Provincial market analysis and demand, aligned to the tax, regulatory and reporting geographies decisions are actually made in.
County
Regional and rural roll-ups, catchments that span municipalities, and the bridge between provincial and city-level views.
Upper-tier
Regional-municipality and census-division analysis — territory design, regional planning and multi-city catchments.
Lower-tier
City and municipal market studies, jurisdiction-level permit and policy analysis, and the unit most local decisions map to.
City / Neighbourhood
Trade areas, catchments, site selection and neighbourhood profiling — the granular tier where a specific site lives or dies.
The analytics tiered boundaries unlock.
Roll up and drill down
Aggregate any metric from the neighbourhood up to the province, or drill from a national view down to a single catchment — because every level nests cleanly into the next.
Trade areas & catchments
Resolve real trade areas and catchments at the neighbourhood and city tier, then profile the population and businesses inside them.
Market rankings
Compare provinces, regions or cities on identical geography, so a ranking of markets is apples-to-apples rather than a mix of mismatched sources.
Site selection
Score any address against the boundaries around it and the data those boundaries carry — demand, competition, demographics and more.
Territory & network design
Build sales territories or store networks on verified boundaries that neither overlap nor leave gaps, and optimise them tier by tier.
Point-in-polygon resolution
Drop any coordinate or address and resolve it to its full six-level hierarchy instantly — the lookup that anchors every downstream join.
Built to be joined, queried and mapped.
The boundaries aren't a static shapefile — they're a live layer engineered for analytics, with the geometry and indexes that make spatial work fast and every other Neighbourly layer resolve to the same spine.
Explore the data engineMultiPolygon geometry
Full MultiPolygon boundaries (SRID 4326) at every tier — the actual shapes, not bounding-box approximations.
Bounding boxes & centroids
Pre-computed bounding boxes and centroids on every boundary make map, proximity and viewport queries fast.
Viewport & geo-shape search
Return every listing, permit or business inside the current map view, indexed for typeahead and geo_shape queries.
One spine for every layer
Listings, permits, demographics, schools and business data all resolve to the same hierarchy, so spatial joins just work.
Three ways to put tiered boundaries to work.
Query the data yourself, have us build the analytics, or bring in our team for the study — whatever fits how you work.
Canadian data residency
Hosted in Canadian data centres, end to end.
PIPEDA-compliant
Privacy-first by default, provincial compliance built in.
One consistent schema
Every tier and layer shares a spine, so joins are clean.
Always current
Live, maintained boundaries — never stale files.
Location analytics — common questions
What is location analytics?
Location analytics is the practice of analysing markets, sites and networks by where things are — trade areas, catchments, market rankings and site selection — grounded in accurate geographic boundaries and the data attached to them.
What boundary tiers does Homicity provide?
Six nested levels of Canadian geography: Country, Province, County, Upper-tier, Lower-tier, and City / Neighbourhood — each with full MultiPolygon geometry, bounding boxes and centroids, Canada-wide.
How do tiered boundaries improve analytics?
Because every level nests into the next, you can roll metrics up and drill them down on one consistent geography. Comparisons become apples-to-apples and spatial joins become reliable, instead of stitching together mismatched sources.
Can I attach demographics or business data to a boundary?
Yes. Every Neighbourly data layer resolves to the boundary hierarchy, so demographics, business, permits, schools and more attach to any tier through a single API.
Can I resolve a coordinate to its boundaries?
Yes — a point-in-polygon lookup returns the full six-level hierarchy for any coordinate or address, so every record can be placed precisely in geography.
Is coverage Canada-wide and compliant?
Yes — coverage is nationwide, hosted in Canadian data centres and PIPEDA-compliant by default, with provincial privacy compliance in the architecture.
Put location analytics on solid ground.
Tell us the markets, sites or territories you're analysing — we'll map the right boundary tiers and data to your question.