Property Data · 5 min read

School Catchments and Home Value: Reading the Back-to-School Market

As families move for the school year, catchment boundaries quietly shape home values. Here's how school-catchment data resolves at the address level — and why it's one of the most valued location signals.

All articlesAugust 26, 2026Homicity Research

Late August moves a particular kind of buyer. Families time their purchase to the school calendar, and the question underneath the search is rarely just 'which house' — it is 'which school does this house feed into.' That single question moves money. School catchment boundaries are one of the strongest and most durable drivers of home value in Canada, and they are invisible on a normal map. Here is what a catchment actually is, why it resolves at the address level, and what the back-to-school market reveals about location value.

Address-level
Where catchments resolve
Est. +5–9%
Premium for sought-after catchments
Two schools
One street can straddle
Durable
Catchment value holds across cycles

Illustrative — Homicity Research estimate.

What a catchment actually is

A school catchment — also called an attendance boundary — is the polygon that determines which public school an address is assigned to. Each school board publishes catchments for its elementary and secondary schools, and an address inside a catchment is eligible to attend that school. It is not a radius or a rough neighbourhood; it is a precise boundary, and it can follow property lines, rivers or arbitrary administrative lines that look like nothing on the ground.

The value signal

Because families will pay for access, catchment membership is priced into the market. Homes inside a sought-after catchment command a premium over otherwise comparable homes just outside it, and that premium tends to be sticky — it holds through cycles because the demand behind it, families with school-age children, is structural rather than speculative. For valuation models, ignoring catchments means mispricing a driver that buyers are actively bidding on.

Estimated home-value premium by catchment tier

Top-rated8.5%
Above average4.5%
Average1.5%
Just outside top-3%

Illustrative — Homicity Research estimate. Premium versus comparable homes outside the catchment.

Why coordinates matter

The precision is the whole point. A single street can straddle two catchments, so two homes a few doors apart can feed into different schools and carry different values. A postal code is far too coarse to resolve this — it can span multiple catchments — and even a neighbourhood label misses it entirely. The only way to answer the question correctly is at the coordinate level, resolving the exact address against the exact boundary.

Coordinate, not postal code

The resolution that changes the answer

Neighbourly's Schools layer resolves catchments at the coordinate level, returning the catchment polygon, school name, board and language designation for any address — so the answer reflects the property, not an approximation of its area.

How it connects to everything else

Catchments are most powerful in context. Because the Schools layer shares the same geographic backbone as the rest of Neighbourly, a single address query returns catchments alongside demographics, boundaries, permit history and neighbourhood content — and correlates directly to a connected listing. A portal folds catchments into search and listing pages; a valuation model adds them as a driver; an analyst profiles a neighbourhood by the schools it feeds. One address, resolved once, answers the question every family is really asking.

Put the school on the listing

The back-to-school market is a reminder that the most valuable location signals are the ones a map does not show. School catchments resolve at the address level, they move home values, and they connect cleanly to everything else about a place. That is exactly what Neighbourly.io is built to deliver — accurate, address-level answers you can put straight onto a listing or into a model.

property dataschoolscatchmentshome valueneighbourly

This analysis is built on Neighbourly.io — the real estate data API for Canada. Standardized addresses, boundaries, demographics, permits and market signals through a single interface.

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