Neighbourly's boundary and demographic data is the foundation your analytics products are missing. Neighbourhood reports. Price averages by geography. Growth market signals. Supply pipeline tracking. Market share by area. All of it grounded in authoritative Canadian boundaries — not arbitrary radius circles.
Every municipal data portal, real estate board, and government dataset uses different boundary definitions. Aggregating across them is a normalization project, not an analytics project.
A 5km radius around a pin point doesn't map to how markets, buyers, or governments think about Canadian places. Real analytics needs real boundaries.
Without a consistent neighbourhood or boundary ID, you can't aggregate metrics, track trends over time, or compare across datasets. Every join becomes a one-off reconciliation.
A neighbourhood report is the most fundamental unit of real estate market intelligence. It answers the question every buyer, seller, investor, and lender asks first: what's happening in this area, right now?
Neighbourly gives you the geographic containers that make neighbourhood reports consistent, repeatable, and scalable. Every neighbourhood has a stable slug, a curated boundary polygon, and linkage to census demographics, permit records, and postal geography. That means your aggregation logic runs against the same boundary every quarter — and your reports stay comparable over time.
Postal code aggregations are too fine. City-level averages are too coarse. The neighbourhood — a curated, human-recognizable geographic unit — is the right level of granularity for price analytics that people actually use.
Because every Neighbourly neighbourhood has a stable ID and a GeoJSON boundary, you can aggregate any price metric to it — average, median, percentile, per-square-foot — and render that metric as a choropleth map, a ranked table, or a trend chart. And because the boundaries don't change, your Q1 figures compare cleanly to Q4.
Growth market identification is a multi-signal problem. Price appreciation alone misses markets where activity is accelerating before prices move. Permit activity alone misses markets where new supply is dampening prices. The insight is in the combination.
Neighbourly's boundary-linked data gives you all three signal types against a consistent geographic frame. Overlay price trends from your transaction data with permit pipeline counts from our API and demographic in-migration signals from census data — all keyed to the same neighbourhood slug. Score and rank neighbourhoods against a composite growth index that you control.
Permit data is the best leading indicator of housing supply. But raw permit records — scraped from municipal portals in inconsistent formats — are almost unusable without a geographic normalization layer. Neighbourly standardizes permit data from municipalities across Canada and links every permit to a neighbourhood boundary.
That means you can track new residential construction, renovation activity, and multi-unit development pipelines at the neighbourhood level — not just the city level. Surface which areas are gaining density. Flag neighbourhoods where supply is tightening. Identify where speculative renovation pressure is building before prices reflect it.
Price data tells you what the market is doing. Demographic data tells you why. A neighbourhood with high income growth and young household formation is a fundamentally different market than one with stable demographics and a high proportion of long-term owners — even if their current price averages are similar.
Neighbourly links census-derived demographics to neighbourhood boundaries — so every neighbourhood report you build includes age distribution, household income, tenure mix, education level, housing stock composition, and family structure. These are the signals that explain price trends, predict future demand, and differentiate your market intelligence product from a simple transaction aggregator.
These are the products your competitors are building in-house — one fragmented dataset at a time. Neighbourly gives you the boundary and data foundation to build all of them, faster.
Programmatic quarterly reports for every Canadian neighbourhood — price, DOM, permit activity, and demographics in one structured output.
Render average price, price growth, or affordability as a colour-graded neighbourhood boundary map — the map buyers actually want to see.
Multi-signal neighbourhood scoring — price momentum, permit acceleration, demographic in-migration — published as a ranked quarterly index.
Track new residential construction, renovation activity, and multi-unit pipeline by neighbourhood — updated as municipal data updates.
Neighbourhood-level market share by agent, brokerage, or brand — for competitive intelligence, recruitment, and performance coaching.
Define trade areas from real neighbourhood and municipal boundaries. Score and compare candidate sites on demographic and competitive data.
You bring the transaction, permit, or event data. Neighbourly provides the geographic containers, the demographic context, and the boundary shapes. The analytics logic is yours.
Pass each address in your dataset to the Neighbourly API. Get back a neighbourhood slug, municipality ID, FSA, and census division code for every record.
Group your transaction, event, or permit records by neighbourhood slug. Compute median, average, count, or any metric — anchored to consistent geographic containers.
For each neighbourhood slug, call the Demographics and Building Permit APIs. Add income, age, housing stock, and permit pipeline data to your aggregate metrics.
Fetch GeoJSON boundary polygons for map rendering. Generate neighbourhood reports, ranked tables, choropleth maps, or API feeds — all consistently keyed to stable boundary IDs.
Tell us about the analytics product you're building, the data you have, and the geographic resolution you need. We'll show you exactly what Neighbourly adds.