Automated valuation model (AVM) info

An Automated Valuation Model (AVM) estimates list, sale, or rent prices for any address using machine learning. It's how lenders, insurers, and proptech apps value millions of properties at once.

Example AVM reports

Below are two example reports, each generated for a real property in our database, showing the full output of a $5.00 request.

Why Houski's AVMs

  • $5.00 per valuation - Pay-as-you-go, no upfront commitment.
  • Hierarchical fallback - City-specific model if available, then state or provincial, then country. Every address gets a prediction.
  • All of Canada, Czechia, the United Kingdom, Latvia, Slovenia and the United States - every property scored using the 200+ fields that power our API.
  • Transparent accuracy - Median MAPE, R-squared, and percent-within-10% published for every model below.

How to get a valuation

  • Through the API - Hit our /avm endpoint with a property_id. Returns list, sale, and rent predictions plus a report. $5.00 is added to your API subscription as usage and billed on your next monthly invoice.
  • Through the /predict endpoint - The same models behind every valuation on this page also answer our /predict endpoint, which returns the list price, sale price, or monthly rent estimate for a property on any date from January 2021 to today. It gives you the numbers without the report and each predicted value costs the same as reading that field.
  • Through your dashboard - Sign up and order an AVM for any address, no integration required. Same $5.00, choose to bill it to your API subscription or pay it as a one-time charge to your card without a subscription.

What each report includes

A report is more than three numbers. Here is what you get and how each part is built.

  • Three estimates with confidence scores - List price, sale price, and monthly rent each come from their own model, so one can be more certain than another. Each estimate carries a confidence score of 100 minus the model's typical percentage error, so a confidence of 95% means half of past estimates from that model landed within 5% of the real figure.
  • Flags - Concrete things we noticed about the property or its area that are worth looking into before you rely on the estimate, such as elevated flood risk, monthly fees that run high for the value, a large gap from the assessed value, or older wiring. They describe the home and its surroundings, not our confidence in the number, and they appear only when something stands out.
  • Property and area scores - We score the location from 1 to 10 across natural hazards such as flood, fire, and earthquake, and everyday livability such as walkability, transit, safety, and noise. Higher is always better, including the hazard scores, where a high score means lower exposure.
  • Comparable properties - Nearby homes of the same type and similar size, ranked by how closely their price, size, and distance match this home, closest first. The price shown is the last asking price we saw before each one left the market, and the sale date is our own estimate rather than a recorded sale figure.
  • A living estimate - The report is live, so the values update over time as the underlying data and the market change, and each report shows the date it was valued.
Model type

Select the type of valuation model you want to view.

Understanding the metrics

Median absolute percentage error (Median MAPE):
A Median MAPE of 5% means half of our estimates fall within 5% of actual value. For a home worth 500,000, we'd typically be off by 25,000 or less.
Median (not mean) avoids skew from outliers. Lower is better.
R² Score:
How much price variation the model explains. R² of 0.850 means the model accounts for 85% of price differences.
For context, predicting with city name alone might give R² = 0.30, while adding square footage, bedrooms, and neighborhood pushes it to 0.65. Higher is better.
Within 10%:
How often estimates land near actual value. 75% means 3 out of 4 estimates of 500,000 fall between 450,000 and 550,000. Higher is better.
Details:
Each model has a details page with deeper metrics.

City models

Our most accurate models, trained on city-specific patterns.

CityM. MAPER² scoreWithin 10%Details
Temecula, California, United States3.4%0.85084.7%View →
Santa Clarita, California, United States3.6%0.90083.2%View →
Apex, North Carolina, United States4.1%0.94084.1%View →
Chula Vista, California, United States4.2%0.90082.1%View →
Cochrane, Alberta, Canada4.2%0.91084.2%View →
Airdrie, Alberta, Canada4.3%0.92084.7%View →
Spring Hill, Tennessee, United States4.4%0.94080.9%View →
Parker, Colorado, United States4.4%0.91083.4%View →
Leduc, Alberta, Canada4.4%0.90082.5%View →
Highlands Ranch, Colorado, United States4.4%0.95082.7%View →
Clarksville, Tennessee, United States4.5%0.82080.4%View →
Lebanon, Tennessee, United States4.5%0.82078.0%View →
Marysville, Washington, United States4.5%0.85077.3%View →
Castle Rock, Colorado, United States4.6%0.83075.4%View →
McKinney, Texas, United States4.7%0.90078.9%View →
Surprise, Arizona, United States4.7%0.87081.7%View →
Aurora, Colorado, United States4.9%0.92076.3%View →
Marana, Arizona, United States4.9%0.85074.1%View →
Calgary, Alberta, Canada4.9%0.94078.1%View →
Fishers, Indiana, United States4.9%0.92076.7%View →
San Diego, California, United States4.9%0.94073.1%View →
Spruce Grove, Alberta, Canada5.0%0.89078.0%View →
Gilbert, Arizona, United States5.0%0.92079.2%View →
Queen Creek, Arizona, United States5.0%0.91078.4%View →
Langford, British Columbia, Canada5.1%0.88075.6%View →
Allen, Texas, United States5.4%0.89078.8%View →
Lakewood Ranch, Florida, United States5.4%0.92071.5%View →
Riverview, Florida, United States5.5%0.83074.5%View →
St. Albert, Alberta, Canada5.6%0.94073.5%View →
Denton, Texas, United States5.6%0.82074.1%View →
Broomfield, Colorado, United States5.7%0.89073.2%View →
Edmonton, Alberta, Canada5.7%0.91072.0%View →
Lethbridge, Alberta, Canada5.7%0.88074.1%View →
Noblesville, Indiana, United States5.7%0.86073.6%View →
Carrollton, Texas, United States5.8%0.92076.3%View →
Coral Springs, Florida, United States5.8%0.96073.7%View →
Carlsbad, California, United States5.8%0.93070.2%View →
Winter Haven, Florida, United States5.8%0.82068.1%View →
Irving, Texas, United States5.8%0.92069.5%View →
Irvine, California, United States5.8%0.95072.5%View →
Saskatoon, Saskatchewan, Canada5.8%0.90069.7%View →
Pembroke Pines, Florida, United States5.9%0.93069.4%View →
Franklin, Tennessee, United States6.0%0.93071.0%View →
Chesapeake, Virginia, United States6.0%0.84069.8%View →
Huntersville, North Carolina, United States6.1%0.83073.4%View →
Winnipeg, Manitoba, Canada6.1%0.87068.4%View →
Grande Prairie, Alberta, Canada6.1%0.84068.3%View →
Miramar, Florida, United States6.1%0.90072.7%View →
New Westminster, British Columbia, Canada6.2%0.90070.6%View →
Frisco, Texas, United States6.2%0.91070.1%View →
Celina, Texas, United States6.2%0.82069.1%View →
Brampton, Ontario, Canada6.2%0.81069.4%View →
Plano, Texas, United States6.3%0.92071.2%View →
Virginia Beach, Virginia, United States6.3%0.92068.2%View →
Sugar Land, Texas, United States6.3%0.89071.4%View →
Spokane, Washington, United States6.4%0.82068.4%View →
Ajax, Ontario, Canada6.4%0.83068.1%View →
Phoenix, Arizona, United States6.5%0.90065.8%View →
Hoover, Alabama, United States6.5%0.84065.6%View →
Fremont, California, United States6.5%0.92066.9%View →
Palm Coast, Florida, United States6.6%0.86066.6%View →
Vancouver, British Columbia, Canada6.7%0.92065.6%View →
O'Fallon, Missouri, United States6.8%0.87066.4%View →
Vaughan, Ontario, Canada6.8%0.90065.7%View →
Pickering, Ontario, Canada6.8%0.83065.3%View →
Walnut Creek, California, United States6.9%0.94065.3%View →
Ottawa, Ontario, Canada6.9%0.83064.7%View →
Mississauga, Ontario, Canada6.9%0.89065.3%View →
Palm Beach Gardens, Florida, United States6.9%0.96064.1%View →
Poinciana, Florida, United States6.9%0.84063.1%View →
Huntington Beach, California, United States7.2%0.87060.7%View →
Green Valley, Arizona, United States7.3%0.88065.6%View →
San Jose, California, United States7.3%0.88062.5%View →
Jacksonville, Florida, United States7.3%0.86060.6%View →
Fort McMurray, Alberta, Canada7.4%0.91063.3%View →
Burlington, Ontario, Canada7.4%0.88061.2%View →
Regina, Saskatchewan, Canada7.5%0.90062.0%View →
Kitchener, Ontario, Canada7.5%0.82062.5%View →
Oakville, Ontario, Canada7.6%0.86061.7%View →
Bellevue, Washington, United States7.6%0.88060.1%View →
Richmond Hill, Ontario, Canada7.7%0.91061.8%View →
Nashville, Tennessee, United States7.8%0.85059.2%View →
Carmel, Indiana, United States7.8%0.88060.6%View →
Markham, Ontario, Canada7.8%0.86062.0%View →
Aurora, Ontario, Canada7.9%0.86061.9%View →
Roswell, Georgia, United States7.9%0.88059.3%View →
Toronto, Ontario, Canada8.0%0.88058.6%View →
Seattle, Washington, United States8.1%0.87058.3%View →
Winston-Salem, North Carolina, United States8.2%0.85057.0%View →
Dallas, Texas, United States8.4%0.90056.0%View →
Houston, Texas, United States8.8%0.90054.7%View →
Los Angeles, California, United States9.0%0.89053.4%View →
West Vancouver, British Columbia, Canada9.2%0.92053.6%View →
Lehigh Acres, Florida, United States9.3%0.96052.9%View →
Lincoln, Nebraska, United States9.3%0.84053.8%View →
Hollywood, Florida, United States9.5%0.88052.2%View →
Cape Coral, Florida, United States9.7%0.87051.0%View →
Bonita Springs, Florida, United States9.8%0.89051.5%View →
Scottsdale, Arizona, United States10.4%0.91048.5%View →
North Fort Myers, Florida, United States10.7%0.85048.0%View →
Richmond, Virginia, United States10.8%0.82046.8%View →
Pompano Beach, Florida, United States10.9%0.89046.8%View →
Fort Lauderdale, Florida, United States11.2%0.91046.0%View →
San Francisco, California, United States11.3%0.85045.4%View →
Austin, Texas, United States12.6%0.83042.8%View →
Washington, District of Columbia, United States12.9%0.83042.1%View →
Chicago, Illinois, United States13.5%0.82039.6%View →
Newport Beach, California, United States13.8%0.88040.3%View →

Province and state models

Province-wide and state-wide models, used when no city model exists.

Province or stateM. MAPER² ScoreWithin 10%Details
Nevada, United States6.1%0.90068.5%View →
Idaho, United States6.2%0.84066.6%View →
Washington, United States7.0%0.89063.2%View →
Arizona, United States7.4%0.88061.6%View →
North Carolina, United States7.4%0.86060.5%View →
Colorado, United States7.5%0.84060.3%View →
British Columbia, Canada7.8%0.83059.0%View →
Maryland, United States8.0%0.88058.6%View →
Virginia, United States8.3%0.86056.8%View →
Massachusetts, United States8.7%0.88055.5%View →
New Jersey, United States9.0%0.87054.2%View →
Texas, United States9.1%0.82053.4%View →
California, United States9.5%0.88051.8%View →
Georgia, United States9.8%0.84050.9%View →
Florida, United States10.0%0.89049.8%View →
Missouri, United States10.9%0.82046.8%View →
Hawaii, United States11.2%0.85045.9%View →
Connecticut, United States12.1%0.86042.6%View →
New York, United States12.3%0.88042.7%View →
District of Columbia, United States12.8%0.82040.6%View →

Country models

Country-wide fallback when no city, state, or province model exists.

CountryM. MAPER² ScoreWithin 10%Details
Canada10.6%0.81048.0%View →
Czechia30.1%0.45018.0%View →
United Kingdom11.0%0.89046.2%View →
Slovenia14.3%0.79038.3%View →
United States13.0%0.82041.1%View →