When the Toronto Regional Real Estate Board publishes its monthly market report, it tells you what happened across the Greater Toronto Area as a whole. When the Canadian Real Estate Association reports national statistics, it averages together markets as different as downtown Vancouver, suburban Calgary, and rural New Brunswick. These aggregates serve a purpose — they describe a macro trend — but they are nearly useless for making a decision about a specific property in a specific neighbourhood.
The metrics that matter for buyers, sellers, and real estate professionals are neighbourhood-level metrics. A market that appears balanced at the city level may contain micro-markets that are deeply undersupplied in some areas and oversupplied in others — sometimes within a kilometre of each other. Reading those signals correctly is the difference between a well-timed decision and one that ignores critical local context.
The Four Core Market Metrics
There are four metrics that, read together, give a reliable picture of conditions in any neighbourhood at any point in time:
None of these metrics is fully meaningful in isolation. A low DOM in a neighbourhood with a high months-of-supply reading might mean something has changed recently — or it might indicate a data lag. Reading them together paints a picture that any single number cannot.
Days on Market: What It Tells You (and What It Doesn't)
Days on market (DOM) is the most real-time of the four signals. It reflects current buyer demand against current supply without the lag inherent in closed sale data. When the median DOM in a neighbourhood compresses significantly — say, from 25 days to 8 days over three months — something material has shifted in buyer demand for that area.
The critical caveat is that DOM is easily gamed. Relisting a property with a new MLS number resets the DOM counter to zero. A property that has effectively been on the market for 90 days may appear to have a DOM of 12 if it was relisted after price reductions. Sophisticated market readers look at cumulative DOM — the total time a property or its address has been on the market across all listing incarnations — rather than the reset DOM.
In Canadian markets, neighbourhood-level median DOM is a better signal than individual property DOM. The neighbourhood median is harder to game because it averages across all active listings. When the neighbourhood median compresses, real demand is moving.
What the numbers mean
- Under 10 days: Strong seller's market. Multiple offer conditions are likely. Buyers need to be pre-approved, responsive, and prepared to offer above asking.
- 10–20 days: Seller-favourable but not extreme. Some negotiating room; conditional offers may be accepted on select properties.
- 21–45 days: Balanced to slightly buyer-favourable. Most neighbourhoods at equilibrium spend time in this range.
- 45+ days: Buyer-favourable conditions. Properties are sitting; price reductions are common; conditional offers are generally accepted.
- 90+ days: Buyer's market conditions. The seller is either overpriced, the property has issues, or demand has genuinely collapsed.
List-to-Sold Ratio: The Negotiating Signal
The list-to-sold ratio (also called sale-to-list ratio) measures the relationship between asking price and final sale price. A ratio above 100% means the property sold over asking; below 100% means it sold below asking; exactly 100% means it sold at asking.
At the neighbourhood level, the median list-to-sold ratio reveals the negotiating dynamics buyers and sellers can expect. Neighbourhoods where the median ratio is consistently above 100% — say 103–108% — are characterised by competitive multiple-offer situations. Neighbourhoods where the ratio is consistently below 97% are characterised by buyers regularly negotiating discounts from asking price.
List-to-sold ratio is a lagging indicator — it reflects closed deals, which typically took place 30–60 days before the data appears. Used together with DOM (which is current), you can infer whether conditions are accelerating or decelerating: rising DOM alongside a recent decline in list-to-sold ratio suggests the market is softening.
Months of Supply: The Market Condition Index
Months of supply is calculated by dividing current active inventory by the average monthly rate of sales over the trailing three to six months. It answers the question: if no new listings came to market, how long would it take to sell everything currently available?
| Months of Supply | Market Condition | Typical Price Pressure | Buyer Experience |
|---|---|---|---|
| Under 2 months | Strong seller's market | Upward / appreciation likely | Multiple offers, no conditions, above ask |
| 2–4 months | Seller's market | Slight upward pressure | Competitive, limited negotiating room |
| 4–6 months | Balanced market | Stable / flat | Normal due diligence, some conditional offers |
| 6–9 months | Buyer's market | Slight downward pressure | Negotiating power, conditions accepted |
| 9+ months | Strong buyer's market | Price declines likely | Significant negotiating power, motivated sellers |
These thresholds are general and vary by property type. The condo market and the detached market in the same neighbourhood can have very different months-of-supply readings, because they're driven by different buyer and investor pools.
Price-per-sqft Trends: The Apples-to-Apples Comparator
Median sale price is the most commonly reported metric, but it's contaminated by changes in the mix of what's selling. If the average home selling in a neighbourhood in Q1 was 1,400 sqft and the average home selling in Q3 was 1,700 sqft, a rise in median price tells you the mix shifted — not necessarily that values increased. Price-per-square-foot normalises for this.
Tracking price-per-sqft over a 12-to-24-month window at the neighbourhood level shows the true direction of value in that micro-market. Neighbourhoods that show consistent appreciation in price-per-sqft — even during broader market pauses — are demonstrating structural demand that tends to persist through market cycles.
The factors that drive sustained price-per-sqft appreciation at the neighbourhood level include: improving transit access (new rapid transit stations are the clearest signal), commercial investment (new retail, restaurants, or office development), school quality improvements, and livability upgrades (park investment, cycling infrastructure, streetscaping). These are leading indicators that buyers who read neighbourhood data early can act on before they're priced in.
Why Metro Averages Obscure the Signals That Matter
Consider two adjacent neighbourhoods in a major Canadian city — one where the median DOM is 8 days, the list-to-sold ratio is 106%, and months of supply sits at 1.4; the other where the median DOM is 52 days, the list-to-sold ratio is 96%, and months of supply is 7.1. These are completely different market conditions. One is a strong seller's market; the other is a buyer's market. They may be separated by a few blocks.
The city-level report averages these together and reports something like: "the median DOM was 28 days and the average sale-to-list ratio was 101%." This number describes neither neighbourhood accurately. For anyone using city-level data to inform a neighbourhood-level decision, the aggregation is actively misleading.
The good news is that neighbourhood-level market data is increasingly available — through platforms that expose it directly, through the Real Estate Data API, and through Neighbourly's Neighbourhood Report, which surfaces all four of these metrics in a single interface for any Canadian area.
A Practical Framework for Reading a Neighbourhood's Market
Here's how to apply these metrics in practice when evaluating a specific area:
- Start with months of supply. This gives you the baseline market condition — whether you're in a seller's, balanced, or buyer's market in this specific area. It frames how to interpret everything else.
- Check current DOM against trailing 12-month average. Is the market accelerating or decelerating? A DOM currently below the trailing average means conditions are tightening; above the average means they're softening.
- Look at the list-to-sold ratio for the property type you're evaluating. Detached, semi, condo, and townhouse can have significantly different ratios in the same neighbourhood. Use the relevant comparison.
- Plot price-per-sqft over 24 months. This is the signal that tells you whether the neighbourhood has structural demand momentum or whether recent price movement was market-wide rather than neighbourhood-specific.
- Cross-reference with leading indicators. Planned transit investment, permit activity for new development, and demographic trends in the area tell you whether the current trajectory is likely to continue.