Neighbourhood polygons, FSA boundaries, civic address points, building permit locations, and census geography — all in one PostGIS-backed API. Query by coordinate, bounding box, or slug. Output in GeoJSON. Hosted in Canada.
From neighbourhood polygon rendering to permit point clustering to FSA choropleth mapping — Neighbourly serves all the geometry layers a real estate data product needs, without building and maintaining your own GIS pipeline.
Curated neighbourhood boundary polygons as GeoJSON MultiPolygon. Query all neighbourhoods in a city, or fetch a single boundary by slug or ID. Includes centroid, bounding box, and character tags.
Forward Sortation Area polygon boundaries derived from Statistics Canada. Used for demographic choropleth maps, FSA-level market analysis, and postal code area visualization.
Validated and geocoded Canadian civic address points. Includes full normalized address components, FSA, neighbourhood ID, and coordinates. Used for address input, geocoding, and listing map pins.
Building permit locations as geocoded point features across 8 major Canadian cities. Filter by permit type, date range, status, and bounding box. Used for development activity heatmaps and neighbourhood change analysis.
Census subdivision and census division boundaries aligned with Statistics Canada geographies. Used for regional market segmentation, CMAs, and provincial-level analytics.
Curated POI points by category — transit stops, parks, schools, cafés, grocery, and more. Query by radius from a coordinate or by neighbourhood ID. Used for walkability scoring and listing context panels.
Every geometry layer supports multiple query modes — so whether you're rendering a map viewport, resolving a click event, or looking up a known neighbourhood by slug, one API covers it all.
Pass a bounding box to receive all geometry features within the viewport. Returns a GeoJSON FeatureCollection — ready to pass directly to Mapbox's addSource or Leaflet's L.geoJSON().
Pass a lat/lng pair to resolve which neighbourhood, FSA, or census division the point falls within. PostGIS ST_Within for precise containment — not nearest-centroid approximation.
Retrieve the full GeoJSON polygon for a specific neighbourhood or FSA by its stable slug or ID. Use it to highlight a selected neighbourhood, validate a filter choice, or populate a detail panel.
The Neighbourly geospatial stack is purpose-built for real estate location queries — not adapted from a generic geocoding service.
The Neighbourly geospatial API is designed for engineering teams building real estate products — not GIS specialists processing shapefiles. REST in, GeoJSON out.
Fetch neighbourhood polygon FeatureCollections by bounding box and render them as interactive overlays in Mapbox or Leaflet. Highlight selected neighbourhoods, show boundary outlines on listing maps, or build neighbourhood comparison tools with polygon layers.
Join FSA or neighbourhood geometry with market data — median price, days on market, permit activity — and render choropleth maps at any geographic level. The geometry API handles the spatial layer; you supply the market metrics.
Use bounding box and point-in-polygon queries to spatially join property datasets with neighbourhood, FSA, and census geography. Build location-based feature sets for machine learning models without running your own PostGIS instance.
POI radius queries power walkability scoring and "what's nearby" listing features. Boundary queries power neighbourhood search — letting users draw or select an area and retrieve all listings within the polygon.
Talk to us about access, geometry layer coverage, or embedding geospatial queries into your real estate product or analytics pipeline.
Common questions about this data and how to use it.
Neighbourhood boundary polygons, FSA geometries, civic address points, permit locations, and census geography.
REST endpoints returning GeoJSON, suitable for mapping and spatial analysis.
Yes. GeoJSON output works with common GIS and mapping libraries.
It pairs Canadian geometry with linked real estate and demographic data, not just coordinates.
Canadian-focused, with density highest in metro areas. See the coverage page for detail.