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For commercial real-estate brokerages · Greater Toronto Area

A business-fit score for every commercial address you show.

Avenue Score rates how well a GTA address suits a type of business — a café, a salon, a pharmacy — on a 0–100 scale, shows the evidence behind every point, and puts it in a report under your brokerage’s name.

Accounts are set up per brokerage by Avenue Score; there is no self-serve sign-up.

Example report

5650 Yonge St, North York, ON

  • Hair salon / Barber

    Strong fit within 1.5 km

    Grade B, score 70.4/100

  • Café / Coffee shop

    Strong fit within 800 m

    Grade B, score 71.7/100

Scores are based on percentiles against GTA commercial locations.

A real report from the product, not a mock-up. Model 1.0.0; one address scored for two industries.

industries scored
10
sub-scores: six standard, one optional customer-market
6 + 1
GTA regions covered
5
scale; most sub-scores are percentiles against GTA commercial locations
0–100

How it works

From an address to a client-ready report in three steps.

Scoring takes a few seconds. The report is ready to share as soon as it appears.

  1. Enter the address and the business

    Type a GTA address and pick up to five industries. Optionally choose the customer communities the tenant wants to serve.

  2. Read the score and the reasons

    Each industry gets a 0–100 score and an A–F grade, broken into sub-scores. Every sub-score shows the figures behind it, with the GTA median where one applies.

  3. Hand it to your client

    Share a link or print a PDF. The report carries your brokerage's name, logo and colour, with a map and a plain-language summary.

What's in a report

A number your client can question, and get an answer.

A score without reasons is an opinion. Every Avenue Score report shows what drove the number, so you can walk a tenant or buyer through it line by line.

Sub-scores with evidence
Demand, spending power, target customers, competition, traffic anchors and transit access, each with its weight, its score and the figures behind it.
Customer market
When you pick target communities: how many of those residents live in the trade area, and how that compares with the GTA average.
Map
The trade area drawn around the address, with competitors, traffic anchors and rapid-transit stops marked.
Summary
A short plain-language summary, written by AI from the figures in the report and labelled as such.

Example report5650 Yonge St, North York, ON

Business-fit score

Café / Coffee shop

Grade B, Strong fit. Score 71.7out of 100

Strong fitTrade area: within 800 m

What drives the score

Each bar is a 0–100 score; the tick marks the midpoint (50). Most are percentiles against GTA commercial locations.

  • Resident demand

    16% of score69.9
    • 11,616 residents within 800 m (GTA median 6,622)
    • Population density 5,812/km² (GTA median 3,323)
  • Spending power

    12% of score35.3
    • Average household income $106,023 (GTA median $121,519)
    • Average individual income $58,878 (GTA median $62,172)
  • Target customers

    12% of score77.8
    • 35% of residents are in the target age group (20–39) (GTA median 28%)
  • Competition

    12% of score35.7
    • 14 competing cafés within 800 m — 1.21 per 1,000 residents (GTA median 0.84)
  • Traffic anchors

    16% of score66.7
    • Traffic anchors within 800 m: 14 offices, 4 supermarkets, 2 rapid transit stops
  • Transit and access

    12% of score99.7
    • 40 transit stops within 400 m (GTA median 11)
    • Nearest rapid transit: Finch Station - Subway Platform, 32 m
  • Community market

    20% of score100
    • 1,196 Korean residents within 800 m — 8.9× the GTA average concentration
    • 1 competitor nearby already serves this community
The score section of a real report, exactly as the product renders it. Low sub-scores are shown as plainly as high ones.

Why it's credible

Public data, a stated method, and a record of every report.

Nothing in the score is a black box or a guess about the future. It compares this location with other commercial locations in the GTA, using sources anyone can check.

Six sub-scores are based on percentiles

Six sub-scores are based on percentiles against GTA commercial locations for the same industry: a score of 72 means the location does better than about 72% of them on that dimension. The optional customer-market sub-score is a concentration ratio, explained below. The total is the weighted average of the sub-scores.

Every sub-score shows its evidence

Reasons quote the actual values, and the GTA median where one applies: residents in the trade area, competitors per 1,000 residents, transit stops within 400 m. A client can check each one.

Versioned and reproducible

Each report records the model version and the data vintage it was built with. The same inputs, model version and data vintage always produce the same scores, and a stored report never changes.

A confidence level on every score

Where the trade area has few residents, partial data coverage or an address that could only be located approximately, the report says so instead of hiding it.

What is measured, and from what

Sub-scoreWhat it measuresSource
Resident demandResidents and population density in the trade area.Census 2021
Spending powerAverage household and individual income.Census 2021 · CRA 2021
Target customersShare of residents in the age groups the industry serves.Census 2021
CompetitionSame-category businesses per 1,000 residents.OpenStreetMap
Traffic anchorsSupermarkets, offices, schools, malls and rapid transit that bring people past the door.OpenStreetMap
Transit and accessTransit stops within 400 m and distance to subway, GO or LRT.Agency GTFS feeds

Sources: Statistics Canada 2021 Census; Canada Revenue Agency 2021 tax-filer statistics; OpenStreetMap; GTFS feeds published by GTA transit agencies. Weights and the trade-area radius are set per industry and printed in the report.

Grades

  • Grade A: Excellent fit80 and up
  • Grade B: Strong fit65 to under 80
  • Grade C: Moderate fit50 to under 65
  • Grade D: Limited fit35 to under 50
  • Grade F: Low fitunder 35

The letter always appears with the number. Colour is never the only signal.

Customer-market sizing

For businesses built around a community, size the customer base.

Many GTA businesses serve a particular cultural or language community: a Korean bakery, a Persian grocer, a Tagalog-speaking clinic. For those tenants the first question is how many of their customers live nearby.

Pick one or more communities and the report counts those residents within the trade area and compares their share with the GTA average. Communities can be chosen by population group, ethnic or cultural origin, mother tongue, home language or languages spoken, all from the Statistics Canada 2021 Census. No community is the default, and the step is optional.

What it is

  • A count of potential customers for a specific business.
  • A concentration ratio, not a percentile: the GTA average scores 50, twice the average concentration scores 75, four times scores 100.
  • An optional sub-score that you choose to include, with a weight you set. The other weights scale down to make room.
  • Sourced and labelled: Statistics Canada 2021 Census, on every report.

What it is not

  • Not a rating of a neighbourhood, or of the people who live there.
  • Not a factor in any other sub-score. Demand, spending, competition and the rest are computed the same way with or without it.
  • Not applied unless you select a community for that report.

Customer market

1,196

Korean residents within 800 m

8.9× the GTA average concentration — 10.3% of residents here, compared with 1.2% across the GTA.

1 nearby competitor already serves this market.

From the same example report (5650 Yonge St, North York, ON, Café / Coffee shop). The report also notes when census responses can exceed the population, because people may report more than one origin or language.

Coverage

The Greater Toronto Area, ten industries.

Avenue Score covers addresses in the five GTA regions. An address outside the GTA is declined rather than scored against the wrong reference set.

  • Toronto
  • Peel
  • York
  • Durham
  • Halton

Industries and their trade areas

  • Café / Coffee shopwithin 800 m
  • Restaurant (sit-down)within 1.5 km
  • Bakery / Pastrywithin 1.5 km
  • Hair salon / Barberwithin 1.5 km
  • Nail / Beauty / Spawithin 1.5 km
  • Pharmacy / Medical clinicwithin 1.5 km
  • Fitness / Yoga studiowithin 1.5 km
  • Convenience storewithin 500 m
  • Specialty / Ethnic grocerywithin 3 km
  • Tutoring / Learning centrewithin 3 km

The trade area is the distance customers typically travel for that kind of business. Each industry is scored against GTA commercial locations using its own weights.

Honest limits

What a score is, and what it is not.

A score describes how well a location suits a type of business compared with other GTA commercial locations. It is a starting point for a conversation with a client, and one input among several.

It is not a property valuation, not an appraisal, and not a forecast of sales or of whether a business will succeed.

Known limits of model 1.0.0

  • Census vintage. Population, income and community figures are from the 2021 Census and 2021 tax year. Areas that have changed quickly since then will lag.
  • Transit frequency is not measured. Access counts stops and distance to rapid transit, not how often vehicles come. Busy streetcar corridors can score lower than they deserve.
  • Anchors are counted, not sized. A large mall counts the same as a small one, so locations beside very large centres can be under-rated.
  • Income is an average. Spending power uses average, not median, household and individual income.
  • Community competitors are reported, not scored. Nearby businesses already serving a selected community are counted in the reasons but do not change any score.
  • Business listings come from OpenStreetMap. Competitor and anchor counts are as complete as the map. A shop that is not mapped is not counted.
  • The site itself is not assessed. Rent, lease terms, unit size, frontage, parking, zoning and the condition of the premises are outside the score.

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