How to Find Sold Home Prices in Ontario: The Data Sources, Comp Methodology, and Red Flags Every Buyer and Seller Needs to Know

Sold home prices in Ontario are not uniformly public. Unlike the United States, where MLS sold data is broadly accessible through Zillow and Realtor.com, Ontario's sold transaction data sits behind TRREB (Toronto Regional Real Estate Board) and other board MLS systems with restricted public access. What is available to the public — and through which tools — is more useful than most buyers and sellers realise, but it requires knowing where to look and how to read what you find. This post maps every data source available for researching Ontario sold home prices, explains how to build a credible comparable set for any property, and identifies the sold data signals that separate a fairly priced market from one that is overheating or softening.

Want access to actual sold data for a specific address or neighbourhood? Reply to this email or book a free 15-minute call with Nik — we'll pull the real MLS sold comps for any Ontario property and walk through what the data actually says about fair market value.

Where to Find Sold Home Prices in Ontario: Every Available Data Source Ranked

1. Through a licensed Ontario real estate agent — most complete, most accurate. TRREB (Toronto Regional Real Estate Board) and other Ontario real estate boards maintain comprehensive sold databases accessible to licensed members. An agent can pull the full sold record for any MLS transaction within their board's jurisdiction — including original list price, final sold price, days on market, list price changes during the marketing period, any conditional periods, and in some cases agent remarks that flag important context. This is the only source that gives you the complete transaction picture. For buyers or sellers who want the full comp set for a specific property, this is the starting point — not a supplement. Browse our Ontario sold listings database for a starting point across all markets we serve.
2. HouseSigma — the most useful public-facing sold data tool in Ontario. HouseSigma is a third-party platform that provides sold transaction data for TRREB-area properties on a delayed basis (typically 5–14 days after closing registration). It shows original list price, sold price, days on market, and the listing's full history — including price reductions during the marketing period. Coverage is strongest in the GTA and Hamilton-Burlington corridor and thinner in some secondary markets. HouseSigma is the best free tool available for Ontario buyers who want to research sold prices without direct agent access, and it provides enough data to make reasonably informed preliminary assessments. Its limitation is that the data is board-restricted — non-TRREB markets are less complete — and some transaction details are unavailable or redacted.
3. Ontario Land Registry / OnLand — the definitive public record, but limited data fields. The Ontario government's property registry records every registered property transfer, including the transfer price, date, and parties involved. This data is publicly accessible through the OnLand portal (teranet.ca) for a modest per-search fee. The limitation: transfer records show the sale price and date but none of the market context — no list price, no DOM, no condition history. OnLand is most useful for verifying that a specific transaction occurred at a specific price, and for researching ownership history on a specific property. It is not a substitute for MLS sold data for comparative market analysis.
4. MPAC (Municipal Property Assessment Corporation) — assessment values, not market values. MPAC assesses every Ontario property for tax purposes and makes these assessments available to property owners and, in aggregate form, to the public. MPAC assessments are not market values — they are calculated using a standardised methodology applied every four years and often diverge significantly from current market pricing, particularly in high-appreciation or high-correction environments. Using an MPAC assessment as a proxy for market value is one of the most common research mistakes Ontario buyers make. The assessment may be 20–40% above or below current fair market value depending on when the last reassessment cycle was completed.
5. TRREB Market Reports — aggregate statistics, not property-level data. TRREB publishes monthly market statistics including average and median sold prices by municipality and property type, days on market averages, and active/sold inventory counts. These reports are useful for tracking market direction and identifying trend changes but are too aggregated for property-level valuation. An average sold price for "Milton detached" in a given month includes every detached sale in the city — from a starter bungalow in the Mountain Cluster to a 3,500 sqft Harrison home — and the average of those tells you very little about what any specific property is worth. Use TRREB stats for directional context; use actual comps for property valuation. The Ontario real estate intelligence report distils the key directional signals from TRREB and other board data monthly.

How to Build a Credible Comparable Set: The Methodology That Actually Matters

A comp (comparable sale) is only useful if it's genuinely comparable. Most buyers and sellers make errors in comp selection that either inflate or deflate their value estimate in ways that lead to bad decisions — overpaying as a buyer or underpricing as a seller. Here is the methodology that produces credible comps.

A credible comp set for any Ontario property should include at minimum 3–5 genuinely comparable sold transactions within the past 90 days. Fewer than 3 comps in thin markets requires expanding the time window to 120 days or relaxing one geographic criterion. The value estimate derived from comps is a range, not a point — the appropriate output is "this property should trade between $X and $Y based on the comps, with $Z being the midpoint of that range." Any comp analysis that produces a single precise number without acknowledging the range is overstating its precision.

How to Interpret Days on Market and Sale-to-List Ratios in Ontario Sold Data

The sale price alone is the least informative data point in a sold transaction. Days on market (DOM) and the sale-to-list ratio are the context variables that tell you whether the market was competing aggressively for that property, whether it sold under pressure, or whether the price reflects a motivated seller or a patient one. Understanding how to read these two metrics is what separates informed buyers and sellers from those who act on the wrong signals.

Days on Market (DOM): What It Tells You and What It Doesn't

1. DOM of 0–7 days: The property attracted offer activity in its first or second week. In most Ontario suburban markets, this indicates competitive demand and a well-priced or strategically underpriced listing. Sale price was almost certainly at or above list.
2. DOM of 8–21 days: Normal market absorption. The property found its buyer in a reasonable timeframe without either competing offers driving the price up or market indifference requiring a price reduction. Sale price likely very close to list.
3. DOM of 22–35 days: Slightly above-average market time. Could indicate list price was above market, the property had specific issues that required buyers to think longer, or the market is slowing. Check whether the list price was reduced during this period.
4. DOM of 36+ days: The listing experienced market resistance. At this DOM range, almost all Ontario properties have either had a price reduction, had conditions fall through, or have some characteristic that deterred buyers. The sale price likely reflects buyer negotiating leverage. Do not use a 45+ DOM comp at list price as a market value indicator — the final sale price is the relevant number, and it almost certainly came with negotiation below list.
5. The DOM reset trap: Some sellers who face market resistance pull their listing and relist with a new MLS number, resetting DOM to zero. A property showing 7 DOM that was previously listed for 60 days under a different MLS number is actually a 67-day-on-market property. HouseSigma and experienced agents can identify relist patterns — always ask about prior listing history before treating a short-DOM property as demand evidence.

Sale-to-List Ratio: Reading the Competitive Pressure Signal

1. 105%+ sale-to-list: Multiple offer competition drove the price above list. The list price was likely a strategic underpricing designed to attract offers, and the sale price reflects buyer willingness to compete. The sale price is still a valid comp — but understand that it represents a competitive demand environment, not the seller's asking price.
2. 100–104% sale-to-list: Balanced to slightly seller-favoured market. Buyer paid at or modestly above list — likely either a single strong offer or competition that didn't escalate dramatically. Most reliably reflects fair market value in the current conditions.
3. 97–99% sale-to-list: Mild buyer leverage. The property sold with modest negotiation below list. Either the list price was slightly above market, or the market was balanced enough that buyers could negotiate without losing the property.
4. Below 95% sale-to-list: Material buyer leverage. The seller accepted a significant discount from list — indicating either an overpriced listing, a motivated seller, a property with issues, or a genuinely buyer-favoured market at the time of sale. Discount below list does not automatically mean a good deal for the buyer — the list price may have been aspirational from the start.
5. The list price change factor: A property that listed at $999,000, reduced to $949,000 after 28 days, and sold at $945,000 shows a 99.6% sale-to-list ratio on the final list price — which makes it look like a balanced sale. It is actually a property that was overpriced by $54,000 at inception, sat for 28 days, took a price reduction, and then sold at the reduced price. Always check for list price changes in the DOM history before interpreting the final sale-to-list ratio.

Red Flags in Ontario Sold Data: The Market Shift Signals That Most Buyers Miss

Sold data doesn't just tell you what properties are worth — it tells you where the market is going. These are the pattern-level signals in sold data that indicate a market is overheating, softening, or in genuine transition, all of which should influence how aggressively you bid as a buyer or how you price as a seller.

1. Rising DOM trend across multiple comps in the same postcode. If the last 8 sold properties in a postcode show DOM of 12, 15, 18, 22, 28, 31, 35, 40 days in chronological order, the market is telling you something clear: buyers are taking longer to commit. This is the earliest signal of a softening market — before prices actually fall, they first stop rising, and DOM extends. Buyers who see a rising DOM trend have increasing negotiation leverage even before the market-level data confirms it.
2. Increasing frequency of list price reductions before sale. A market where most properties sell without price adjustments is a seller's market. A market where an increasing proportion of listings are reducing list price before finding a buyer is shifting toward buyer leverage. Track this as a proportion, not just as a count — 3 price reductions in a postcode that had 30 sales is different from 3 price reductions in a postcode that had 8 sales.
3. Sale prices declining relative to assessed value or previous sale. When recent sold prices on properties begin appearing below the last sale price of the same property (especially if the last sale was recent — within 5 years), it can indicate a correction event in that specific pocket. This is distinct from the broader assessed value comparison, which, as noted above, is unreliable — but when a property sells for less than it sold for 3 years ago, that's a market data point that warrants attention.
4. Increasing months of supply without a corresponding inventory surge. Months of supply (active listings divided by monthly sales) rising from 2 months to 4 months in a specific postcode signals that buyer demand has dropped relative to supply — which typically precedes price pressure within 60–90 days. If this is happening without a major inventory increase (meaning buyer demand has declined rather than supply increasing), the demand-side weakness is more concerning than a supply-side adjustment.
5. Comps showing strong variance with no clear explanation. When comparable properties in the same postcode and price bracket are showing dramatically different outcomes — one at 108% of list price with 5-day DOM and the next at 93% of list price with 42-day DOM — the market is sending conflicting signals. This typically indicates a bifurcating market where specific property characteristics (renovation condition, backing, school catchment proximity) are driving significant outcome differences, and where undifferentiated pricing is increasingly punished. In a bifurcating market, the median comp is less meaningful than individual property-level differentiation.