Data layer

Demographics API for Canada

Demographic profiles keyed by Forward Sortation Area — ready for buyer profiles, neighbourhood guides and underwriting models. Computed-percentage helpers handle the math so you don't have to.

What's included

Census-derived insights, at FSA precision.

  • Age, household composition, tenure, income, education, employment, commute
  • Ready-to-display computed fields (homeownership rate, age %, …)
  • Every FSA in Canada

Endpoints

/demographics/find/demographics/ltm
Full reference in the docs

Query by

  • By coordinate
  • By address
  • By bounding box
Why it matters

What the Demographics layer gives your team.

01

Display-ready fields

Computed percentages — homeownership rate, age distribution and more — arrive ready to render, no math required.

02

Consistent national coverage

Every Forward Sortation Area in Canada carries a full profile, so your product works everywhere.

03

Model-ready structure

Clean, typed dimensions feed straight into buyer profiles, underwriting and market models.

What you can build

Use cases.

A few of the things teams build on the Demographics layer.

Buyer & audience profiles

Describe who lives in an area for listings and marketing.

Underwriting models

Feed consistent demographic inputs into risk models.

Neighbourhood guides

Show population, tenure and income on guide pages.

Site selection

Compare catchments on demographic fit.

The API in action

See it in a request.

Example request
GETcURL
curl -H "Api-Key: $NEIGHBOURLY_KEY" \
  "https://api.neighbourly.io/api/v1/locations/demographics/find?pc=M5V"
200 OKapplication/json
{
  "population": 59912,
  "median_age": 32,
  "ownership_rate": 41.8,
  "median_dwelling_value": 700000,
  "median_rent": 2000,
  "owner_occupied": 15540,
  "renter_occupied": 21665,
  "total_25_to_44": 39740
}

Demographics API — common questions

What is the Demographics API?

It provides census-derived demographic profiles keyed by Forward Sortation Area (FSA) — ready for buyer profiles, neighbourhood guides and underwriting models.

What demographic dimensions are included?

Age distribution, household composition, tenure (owners vs renters), income brackets, education, employment by sector, commute times, median age, median household income and median dwelling value.

Can I look up demographics by postal code?

Yes — /demographics/find takes a postal code and uses the first three characters (the FSA) to return that area's demographic snapshot.

How granular is the demographic data?

Data is reported at the Forward Sortation Area level, which balances precision with privacy, and can be rolled up to the municipality level.

Are percentages pre-computed?

Yes. Computed-percentage helpers — like homeownership rate and age-distribution percentages — are returned as ready-to-display fields, so you don't have to do the math.

Does the Demographics API cover all of Canada?

Yes — every FSA in Canada has a full census-derived demographic profile.

More data layers

Build with the Demographics API.

One API key, ten data layers, Canada-wide. Get access or talk to our team.