An automated valuation model (AVM) is an estimation of a property's value based on recent sales of similar properties in the area adjusted for known differences between the properties. Good AVMs such as ATTOM's will have error rates in the range of 6-10%.

ATTOM ID 145695081
Valuation Date 07/20/2022
Estimated Value $464,234
Confidence Score 98



The following tables can be used to access AVM information. When delivering solutions to customers, some or all of the information found in these tables may be consolidated into one or more views.


Rows: 94 million
Columns: 10
Family: Valuation

Dimension Tables

There are no dimension tables associated with AVM data.

Understanding the Data


Because there is not a universally accepted standard for property identification (like the use of SSN to identify US citizens), properties can be difficult to identify. Alternatives such as APN or street address can change over time and they often lack a consistent way of being formatted. ATTOM addresses this by assigning a single, permanent identifier to each property in the form of a very precise number (integer).

  • Being numbers (integers), ATTOM IDs can be processed very quickly in relational databases, improving the speed with which properties can be identified and matched.
  • An ATTOM ID of 99999999 is assigned for properties that we cannot identify/match


The following is the key data provided as part of each property AVM:

  • Estimated Value: The estimated value of the property
  • Estimated Min/Max Values: The lower and upper ends of the property value
  • Valuation Date: The date on which the valuation was established
  • Forecast Standard Deviation: The probability that the estimated value will fall within a statistical range of the actual market.
  • Confidence Score: The statistical level of confidence that the property value falls within the provided minimum and maximum levels.

Product Articles (P-Articles)

All solution packs containing the AVM data element will include the following p-articles to help you understand and use the data: -

  • AVM 101
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