How FairRent Canada works
How estimates are built, what the FairRent Canada Score means, where the data comes from, and what the results can and cannot tell you.
What we measure
FairRent Canada estimates whether a renter's monthly rent is above, within, or below the typical range for comparable units in their neighbourhood. We produce a score on a scale of 1 to 10, where 10 means the rent is significantly below market and 1 means it is significantly above.
We do not measure unit quality, landlord responsiveness, or living conditions. We measure price fairness relative to the local rental market.
How estimates are built
Every estimate starts with a baseline derived from CMHC's annual Rental Market Survey, the most comprehensive source of rental data in Canada. CMHC surveys landlords and property managers of purpose-built rental buildings each October and publishes average rents and vacancy rates by city and zone.
We adjust the CMHC baseline using Rentals.ca's monthly national rent report, which tracks asking rents from active listings across Canada. This helps us account for market movement between CMHC's annual releases.
We then apply a neighbourhood multiplier. This is a percentage adjustment that reflects how a specific neighbourhood typically compares to the city-wide average. Multipliers are calibrated from CMHC zone data, Rentals.ca listing distributions, and the median of anonymous renter submissions in each neighbourhood.
When enough anonymous submissions exist for a specific neighbourhood and unit type, they are blended into the estimate using a weighted average. The weight given to community data increases with sample size. CMHC data always retains a minimum weight to anchor the estimate against self-reporting bias.
Asking rents vs actual rents paid
Different sources measure different things, and the distinction matters.
Rentals.ca market listings show asking rents. These are the prices landlords are advertising right now. Asking rents move quickly with the market, but they reflect what landlords want to charge, not what tenants actually sign for.
CMHC survey data reflects average rents paid in occupied purpose-built rentals. CMHC data is more grounded in reality but is published once a year, so it lags 6 to 18 months behind the current market.
Anonymous renter submissions show what renters report paying right now. This data is recent and unit-specific, but the sample is smaller and self-reported.
Fair Rent combines all three so each source covers the others' weaknesses. The result is a benchmark, not an appraisal.
Why we only show grouped data
We never display individual rent submissions publicly. Every result you see on Fair Rent is a group statistic: a median, a range, or a count.
There are two reasons. First, renter privacy. Even though we never collect names, emails, or addresses, showing individual rents at the building or block level could in principle let someone identify a specific tenant. Grouping by neighbourhood and unit type removes that risk.
Second, statistical honesty. A single submission is noisy. It might reflect a friend deal, a heritage rent control situation, or an outlier building. Medians and ranges across many submissions give you a number you can actually use.
How blending works
The community weight determines how much influence anonymous renter submissions have on the final estimate. More submissions means more influence, but public data always contributes.
| Local submissions | Community weight | What this means |
|---|---|---|
| 0 to 4 | 0% | Public data only |
| 5 to 9 | 20% | Mostly public, slight community adjustment |
| 10 to 19 | 40% | Balanced blend |
| 20 to 49 | 60% | Community-weighted, public as anchor |
| 50+ | 80% | Primarily community data |
Public data always contributes to the estimate. The community weight never reaches 100 percent. This keeps every estimate grounded in verified market data, even in areas with many submissions.
The FairRent Canada Score
The FairRent Canada Score is a single number from 1 to 10 summarizing how your rent compares on price. It is strict by design. A high score is difficult to earn. As of September 2026 it is about price and nothing else: whether a tenancy is rent controlled no longer changes it. Two renters paying the same rent for the same kind of home in the same area now get the same score, and rent increase rules are shown beside the score as their own section. The score combines:
| Part | Weight | What it measures |
|---|---|---|
| Market Position | 70% | Where your rent falls relative to the estimated fair range for your neighbourhood and unit type. Below the range scores higher. Above scores lower. |
| Price per sq ft | 25% | How your price per square foot compares to the neighbourhood median for the same unit type. Only active when you provide your unit size. |
When square footage is not provided, market position is the whole score rather than being topped up by a component we have no input for. Providing your unit size makes the score more specific. When there are fewer than five renter reports for your exact neighbourhood and unit type, the score is reported in steps of half a point, because a tenth of a point of confidence is not available from survey data alone.
Score bands
When data confidence is Low, the score is still calculated but labelled as estimated. The score becomes more precise as local submission volume grows.
Price per square foot
Average rent is the most commonly cited number in Canadian housing reports. It is also one of the most misleading. A city's average rent can stay flat or even decline while real affordability worsens, because the units being rented are getting smaller.
Price per square foot solves this. It tells you what you are actually paying for the space you get. A $2,000 a month apartment sounds reasonable until you learn it is 350 square feet. That is $5.71 per square foot, which is expensive by most Canadian standards.
When you provide your unit size, we calculate your price per square foot and compare it to the neighbourhood median for the same unit type. This comparison accounts for 25% of your score and gives a much more accurate picture of whether your rent is fair than the dollar amount alone.
Data sources
Four sources contribute to FairRent Canada estimates. Each measures something slightly different.
| Source | Updated | Role | Key limitation |
|---|---|---|---|
| CMHC Rental Market Survey | Annual, October | Primary baseline for all estimates. | Covers purpose-built rentals only, not condos rented by individual landlords. Lags by several months. Does not capture rent at the street or micro-neighbourhood level. |
| Rentals.ca National Rent Report | Monthly | Used to calibrate and update the CMHC baseline between annual surveys. | Reflects advertised asking prices, not signed rents. Landlords list at aspirational prices. May skew slightly high in competitive markets. |
| Anonymous renter submissions | Continuous, live | Blended into the estimate when enough local submissions exist. Improves neighbourhood precision over time. | Self-reported data. Accuracy depends on honest submissions. Small sample sizes in less-used neighbourhoods reduce reliability. |
| Provincial rent control guidelines | Annual, as announced | Used for rent control calculations and the rent control component of the score. | Guideline rates change each year. Legal determinations depend on individual circumstances. |
Confidence levels
The confidence level reflects how much local renter data exists for your specific neighbourhood and unit type. It is not a judgment about whether your rent is fair. It is a signal about how precisely the estimate is calibrated.
Building-level data
Some pages show building-level information. Because a building is a much smaller sample than a neighbourhood, the rules are stricter, and we never publish a number that implies more renter evidence than we have:
Known limitations
Not legal or financial advice. The results produced by FairRent Canada are market estimates for general informational purposes only. They are not professional appraisals, legal opinions, or financial advice. If you believe your landlord has charged rent above a legally permitted amount, contact your provincial tenant rights organization or a licensed paralegal.
Data update schedule
Frequently asked questions
What is the FairRent Canada Score?
The FairRent Canada Score is a number from 1 to 10 comparing your rent with what comparable homes in your area appear to go for. A 10 means the rent is well below that comparison. A 6 means it is typical. Below 5 means it is higher than the comparison, which is not the same as a finding that you are being overcharged. The score combines market position (70%) and price per square foot (30%, when you give us a size). Rent control is not part of it.
Why is the result a range and not one number?
Because a single number would be misleading. Rents for comparable units in the same neighbourhood vary by hundreds of dollars based on building age, condition, finishes, and included amenities. A range honestly reflects that variation.
How is the neighbourhood adjustment calculated?
Each neighbourhood has a multiplier derived from observed rent premiums or discounts relative to the city average. These multipliers are calibrated from CMHC ward-level data and cross-referenced with Rentals.ca listing patterns. They are reviewed and updated after each CMHC annual release.
How are anonymous renter submissions used?
When enough submissions exist for a specific neighbourhood and unit type, they are blended with the public data baseline using a weighted average. The community weight increases with sample size, up to a maximum of 80 percent. Public data always contributes to every estimate.
What stops people from submitting fake rents?
A rent between $500 and $8,000 a month is compared directly. Outside that, a report is held for review rather than added, and it does not count toward the public total until someone looks. That is not an accusation: a subsidised unit, a long controlled tenancy and a penthouse are all real, and calling them fraud would be wrong. Reports older than two years drop out of comparisons. No single report can move an estimate much, because the blend is capped and a report far from the survey baseline is filtered out of the median entirely. One thing we will not claim is that anonymous reports prove unique people. They do not, and no anonymous system can.
How does price per square foot work?
When you provide your unit's square footage, we calculate your price per square foot and compare it to the neighbourhood median for the same unit type. This catches situations where a rent looks reasonable in absolute terms but is actually expensive for the space you get. It accounts for 30% of the score when provided.
Does the tool account for rent control?
We show the rules that apply where you live, and we do not calculate what your landlord may legally charge. Working that out needs your rent when the tenancy began, every increase since, and any above-guideline order, and we hold none of those. A number built without them would be guesswork presented as law. So we publish the province's current guideline percentage and link to the official source, and we leave the arithmetic to you and to the tribunal. Quebec has no province-wide percentage at all, so a Quebec tenancy gets the tribunal link and no formula. Rent control does not affect your score.
Can I use this result in a dispute with my landlord?
No. This tool provides general market estimates for informational purposes only. It is not a professional appraisal, not legal advice, and should not be used as evidence in legal proceedings. If you are involved in a rent dispute, consult a licensed paralegal or tenant rights organization in your province.
How often is the data updated?
Renter reports are live and continuous, and reports older than two years drop out of comparisons, so the local part of every estimate moves on its own. The market survey figures and the neighbourhood multipliers behind them are refreshed by hand, and the date they were last reviewed is printed on every result and every neighbourhood page. There is no automated monthly update, and we would rather say so than let a page render date look like a data refresh.
Is my submission truly anonymous?
Yes. No name, email, IP address or device identifier is stored with your submission. The only data recorded is neighbourhood, unit type, monthly rent, move-in year, city, and whether parking or utilities are included. Our hosting and analytics providers process technical data such as IP addresses to serve and measure the site, but it is held by them and never joined to a submission, so there is no way to trace a rent back to an individual.
Anonymous · No personal data stored · Not legal or financial advice · 2026 FairRent Canada