Three paths to Canadian sold data. Different coverage, different latency, different analytical depth.
There are three paths to Canadian sold property data. Each has different coverage, latency, and analytical depth.
Provincial land title offices record legal property transfers. In Ontario, Teranet manages the electronic land registration system. Other provinces have their own offices. Registry data captures the legal transfer: date, price, parties involved, and property description.
Strengths: Official legal record. Comprehensive for registered transfers. Useful for ownership verification and title searches.
Limitations: Arrives after the transaction closes, often weeks to months later. Does not include listing context (original asking price, days on market, price changes). Data access requires specific agreements with each provincial authority.
Regional real estate boards publish sold data through CREA’s systems. This data is captured at the point of sale completion through the MLS system and includes the transaction price alongside listing details.
Strengths: Includes listing context. Relatively current. Covers properties sold through the organised real estate system.
Limitations: Board-level data access agreements are required for enterprise use. Coverage varies by board. Private sales and some commercial transactions are excluded. Data formats are not standardised nationally.
Companies like BrightCat operate continuous capture pipelines that track sold events alongside the full listing lifecycle. The sold record is not just a transaction price — it is connected to the original listing, every price change, the total days on market, and the status history that preceded the sale.
Strengths: Lifecycle context. National coverage in a single data model. Weekly updates. Enterprise delivery via Snowflake, API, and flat files. Persistent property identifiers for repeat-sale analysis and longitudinal tracking.
Limitations: Commercial licensing required. Covers properties that transacted through the listing system; private sales may not be captured.
Coverage breadth: Does the source cover all provinces or just specific regions? Quebec sold prices require separate sourcing regardless of the provider.
Update frequency: Weekly is operational. Monthly is analytical. Quarterly is commentary. Annual is a census.
Listing-to-sold matching: Can you see the full story of a transaction, or just the final price? The listing context — original asking price, days on market, price reductions — is where the analytical value lives.
Delivery method: If you need the data inside your data warehouse, look for Snowflake Marketplace delivery or structured file drops. If you need it for AI workflows, look for MCP connector support.
BrightCat Sold contains 899K+ sold events matched to full listing lifecycles across all ten Canadian provinces. Sample data is available at no cost for evaluation. Contact alexandria@brightcatdata.com or visit brightcatdata.com/contact.
See the signals for yourself — real data, updated weekly.