ATTOM’s™ Rental AVM
Valuations. Insights. Returns.
Rental Market Data You Can Trust
Knowing what a home could rent for matters whether you’re screening acquisitions, setting rents, reviewing a DSCR loan, or building a property page.
ATTOM’s Rental AVM (automated valuation model) estimates current monthly market rent for single-family homes, condos, and townhouses across the U.S. Every estimate comes with a low and high value sized to the data behind it, so you can see how much evidence supports each number.
The model covers over 100 million properties in all 50 states and DC, including homes that have never been listed for rent. Estimates update monthly and link to other ATTOM data by ATTOM ID.
100M+
Single-Family Homes, Condos, and Townhouses
50 States + DC
Nationwide Coverage, Linked by ATTOM ID
Monthly
Refresh as New Rental Activity Comes In
Low-High
Range on Every Estimate, Sized to the Data
Better Data, Better Rental Values
Rental data presents unique challenges because lease transactions are typically private and not captured in public records. Rental listings provide valuable market insights, but they often contain duplicates, incomplete information, or limited coverage.
To address these challenges, ATTOM’s Rental AVM is trained and benchmarked using observed rental listings that undergo a rigorous cleaning process. Duplicate listings, placeholder rents, and unrealistic prices are removed to improve data quality. Property characteristics and ATTOM’s AVM are then used to help estimate rental values, without being treated as actual observed rents.
Four signals inform each estimate:
Property Characteristics
Living area, bedrooms, bathrooms, lot size, property type, and year built, read in the context of local rents.
Property Value
The ATTOM AVM, with the model learning how the rent-to-value relationship changes by market, price tier, and property type instead of assuming a fixed ratio.
Rental History
A property’s own past listings, adjusted for how local rents have moved since.
Recent Market Activity
Current and recent rental listings, the most direct evidence of today’s rent.
The model weights these signals based on how much evidence exists for each property. A home with a recent listing leans on that listing. A home that has never been rented is valued from its characteristics, value, and local rental market.
How You Can Use ATTOM’s Rental AVM Data?
Screen acquisitions, underwrite to the low end of the range, compare rent to property value, and mark owned assets to current market rent.
Support rent-setting and renewal decisions, and spot properties renting above or below market.
Add estimated rent and rent ranges to property pages, investor tools, and search.
Mortgage Lenders and Servicers
Review rental income for investment-property and DSCR loans, and monitor rental exposure across a portfolio.
Support loss-of-rent analysis and check stated rental income on landlord policy applications.
Give assistants and agents structured access to rental estimates through ATTOM’s MCP Server.
What is a Rental AVM?
A rental AVM is an automated valuation model that estimates the monthly rent a property would command in the current market. ATTOM’s Rental AVM returns an estimated rent plus a low and high range for each property, so teams can evaluate individual homes, whole portfolios, and local markets with the same method.
Related Data
A Variety of Solutions for Your Data Needs
Click here to get in touch with a data expert today and find out how your business can access ATTOM’s comprehensive property data via a variety of flexible formats, such as:
- Cloud Delivery
- ATTOM Nexus
- AI-Ready Solutions
- Property Data APIs
- Bulk Data Licensing
- MCP Server
- Property Navigator
- Neighborhood Navigator
- Real Estate Market Reports
- Match & Append
- AI Agents
- MCP Server
Discover ATTOM and view our Table of Data Elements.