Retrieve business records keyed to any Canadian address — registry filings, NAICS sector codes, operating status, and points of interest density — to power neighbourhood amenity scores, franchise site selection, and commercial real estate analysis.
Canadian business data is scattered across provincial corporate registries, municipal licence databases, and POI aggregators — with inconsistent schemas and no common coordinate key. Neighbourly normalizes it into a single coordinate-queryable layer: registry filings with stable IDs, sector codes, operating status, and density signals — all joined to the same address and boundary graph.
Business records sourced from provincial corporate registries and municipal licence data — normalized into a single schema with naics_code, operating_status, and address_id foreign keys. Query by coordinate to surface the businesses at or near any Canadian address.
Aggregate business density by NAICS sector within any radius or bounding box — how many food service businesses, retail outlets, health services, or professional offices are within 500m of a given coordinate. The density endpoint returns pre-aggregated counts by sector, so your application does no runtime grouping.
A curated POI layer — cafés, restaurants, grocery stores, pharmacies, gyms, transit stops, green spaces — classified by Neighbourly category codes and mapped to NAICS equivalents. Every POI carries a stable ID, coordinate, and neighbourhood_id so you can filter, count, and display by neighbourhood boundary.
Business records, POIs, and trade area density aggregates are all keyed to the same address and boundary graph as every other Neighbourly layer — so a listing enrichment, a franchise site score, and a neighbourhood amenity panel all draw from the same consistent dataset.
| Model | Geometry type | Notable fields & notes |
|---|---|---|
| Business | Point | name, naics_code, naics_sector, operating_status (active, dissolved, suspended), incorporated_at, address_id FK, licence_number where available, province |
| PointOfInterest | Point | name, category (Neighbourly category code), naics_code, address_id FK, neighbourhood_id FK, phone, website_url; stable ID for consistent map layers |
| TradeAreaDensity | — | Pre-aggregated response for a coordinate + radius: total_business_count, active_count, sector_breakdown[] (naics_sector, count, pct), top_category, poi_count_by_category[] |
Every business model is queryable by its stable ID, by coordinate (point-proximity or polygon containment), or by bounding box — so you can populate a listing detail page, a franchise site score, or a neighbourhood dashboard from the same API.
naics_sector and operating_status. Ordered by distance ascending. Useful for listing-page neighbourhood business context.TradeAreaDensity response for the given coordinate and radius — total count, active rate, sector breakdown, and POI category counts. The primary endpoint for franchise and retail site scoring.category (cafe, grocery, pharmacy, gym, restaurant, transit, park…). Used for amenity panels on listing and neighbourhood pages.The trade area density response returns a complete commercial profile for any coordinate and radius — sector breakdown, POI category counts, and active business rate — without any runtime aggregation on your side.
{
"centre": {
"type": "Point",
"coordinates": [-79.3837, 43.6501]
},
"radius_km": 0.5,
"total_business_count": 23,
"active_count": 21,
"active_rate_pct": 91.3,
"top_sector": "Food Services & Drinking Places",
"sector_breakdown": [
{
"naics_sector": "Food Services & Drinking Places",
"naics_code": 722,
"count": 8,
"pct": 34.8
},
{
"naics_sector": "Health Care & Social Assistance",
"naics_code": 621,
"count": 5,
"pct": 21.7
},
... 4 more sectors
],
"poi_count_by_category": [
{ "category": "restaurant", "count": 7 },
{ "category": "cafe", "count": 4 },
{ "category": "grocery", "count": 2 },
{ "category": "pharmacy", "count": 2 },
{ "category": "gym", "count": 1 }
]
}
From neighbourhood amenity scores on listing pages to franchise territory analysis and commercial underwriting signals — business data is a foundational layer that makes every location-aware product smarter.
Resolve a listing coordinate to its nearby POI count by category — cafés, restaurants, grocery stores, pharmacies, parks. Display a walkable amenity summary that gives buyers the "feel" of a neighbourhood without leaving the listing page. Powers the amenity dimension of Neighbourly's Livability Score.
Evaluate any candidate site by its trade area business density, sector composition, and active business rate. Identify co-tenancy opportunities, competitive density, and trade area vitality for any Canadian address — before signing a lease or opening a territory.
Query business density, sector mix, and operating status rates for any commercial neighbourhood to support cap rate analysis, repositioning assessments, and portfolio decisions. Business vitality is a proxy for foot traffic and demand that income statements don't always reflect.
Business density, sector composition, and dissolution rates within a trade area provide meaningful context for commercial property and liability underwriting. High dissolution rates or specific sector concentrations (e.g., hospitality-heavy areas) carry different risk profiles than established mixed-use commercial blocks.
Talk to us about API access, trade area depth, or how business data layers into your existing Neighbourly integration.
Common questions about this data and how to use it.
Canadian corporate registry records, points of interest, business density, and trade-area analysis.
By coordinate, by ID, or by bounding box, with Canada-wide coverage.
Site selection, market sizing, and competitive analysis — understanding the businesses and activity around a location.
JSON, with GeoJSON for spatial queries and boundaries.
Contact us for an API key. Pricing is usage-based, with no seat licences or long-term contracts.