Census-derived population, income, tenure, language, age distribution, and education data — queryable by FSA, neighbourhood slug, or linked directly from a validated address. Built for listing platforms, analytics teams, and proptech products.
Statistics Canada census microdata is public but hard to work with. The Neighbourly demographics API normalizes, geocodes, and makes it queryable — so you can embed neighbourhood context in a product, not a research report.
Every Canadian postal code's Forward Sortation Area maps to a demographics profile. Pass any FSA — e.g. M5E — and receive the full census-derived profile for that delivery area.
Retrieve demographics for any curated Neighbourly neighbourhood boundary — finer-grained than FSA, matched to the neighbourhood polygons used across the full platform.
Every validated address response includes a _links.demographics URL. No separate geocoding step — the FSA and neighbourhood are already resolved from the address.
Demographics responses cover the full Statistics Canada census profile — population, income, housing tenure, age distribution, language, education, immigration status, and commute behaviour.
{
"fsa": "M5E",
"name": "St. Lawrence, Toronto",
"population": 42180,
"median_age": 38.4,
"median_hh_income": 112400,
"pct_owner": 29,
"pct_renter": 71,
"age_distribution": {
"under_25": 18,
"25_to_44": 42,
"45_to_64": 28,
"65_plus": 12
},
"pct_university": 58,
"pct_immigrant": 44,
"avg_commute_min": 26,
"census_year": 2021
}
From neighbourhood guides to AVM features to investment analysis — census-derived demographics unlock a layer of context that listing data alone can never provide.
Embed income distribution, age profile, owner vs renter split, and commute times directly on listing detail pages. Let buyers understand who lives in the neighbourhood — not just what it looks like.
Demographic variables are strong predictors in property valuation and time-on-market models. Pull median income, education rate, age distribution, and tenure mix as structured features keyed to any property's FSA.
Query demographics for a list of FSAs or neighbourhoods and compare them side by side — income growth proxies, renter concentration, immigration rate, age skew. Identify undervalued neighbourhoods before the market does.
Help buyers find a neighbourhood that matches their life stage — family-oriented areas by under-15 population share, young professional neighbourhoods by 25–34 concentration, walkable urban cores by commute time.
Talk to us about API access, volume pricing, or integrating demographics into your listing platform or analytics pipeline.
Common questions about this data and how to use it.
Census-derived population, income, age, household tenure, and language data for Canadian areas.
By Forward Sortation Area (FSA), neighbourhood, or address — the API resolves the location and returns the matching demographic profile.
It is derived from Canadian census data, normalised and linked to the Neighbourly geographic hierarchy.
Demographic data refreshes on the census cycle, and each record carries its source vintage.
Yes. Structured, address-resolvable demographics are commonly used in valuation, underwriting, and site-selection models.