Accurate real estate valuations for 100 million homes
How accurate is HouseCanary in your area?
A lower MdAPE indicates a more accurate property valuation.
Hundreds of data series are taken into account
Residential real estate sales prices are influenced by much more than recent sales prices of nearby homes.
What factors influence housing valuation?
We pull sales and listing data from MLS and county assessor records, and pull insights from multiple other sources such as macroeconomic data, capital markets data, mortgage records, search and social data, and house/parcel data.
Real estate price trends
Comparable housing sales prices
Property attributes compared to those of other properties in the area
Home improvement history
Housing inventory within the local market
Local economic and employment trends
Consumer demand and buying behavior
We use machine learning and data science to run thousands of simulations
We run 8 individual AVMs, each of which executes different property valuation models. Every day, we use our unique ensemble methodology to run thousands of simulations for each property we track. We customize the weight we assign to various data sources to account for regional differences in market trends, economic factors, and demographics.
Feedback loops are used to confirm and improve accuracy
On a monthly basis, we compare our previous property valuations against the actual reported sales prices of homes. This allows us to continually evaluate the accuracy of our property valuations, identify changes in local and regional markets, and tune our models and algorithms to account for local and regional changes.