Finding reliable data is essential for SFR investors, operators, and proptech companies. Whether you’re underwriting deals, monitoring rental trends, or managing a portfolio, having access to accurate, timely property data can mean the difference between spotting opportunity and missing it. The right data provider gives you insight into rental comps, market trends, property ownership, and investment activity—all critical for scaling in the SFR market.
We’ve identified six leading platforms that serve the SFR space. Each offers distinct capabilities, from granular rental estimates and market analytics to institutional-grade property records and lending intelligence.
Quick Overview List
- Dwellsy IQ — Real-time, unit-level rental data sourced directly from property management systems across 17M+ listings and 17,000+ ZIP codes, covering both SFR and multifamily
- Yardi Matrix — Market intelligence platform covering BTR/SFR communities and multiple asset classes for institutional investors and operators
- HouseCanary — Residential valuation and analytics platform with property-level AVMs, rental value models, and 36-month forecasting tools for buy-side workflows.
- RentRange — Rental data and AVM platform serving mortgage lenders, institutional SFR operators, and financial institutions with auditable rent estimates and market metrics.
- ATTOM Data — Nationwide property data aggregator combining assessor records, deed history, foreclosure filings, and hazard risk data via API and bulk delivery.
- SFR Analytics — AI-powered platform providing rental data, investor profiles, borrower intelligence, and market heat maps.
6 Best Single-Family Rental (SFR) Data Providers (2026)
1. Dwellsy IQ
What it is
Dwellsy IQ is a rental data infrastructure built from direct connections to property management systems and first-party feeds. It specializes in accurate, legally compliant rent data for both single-family rentals and multifamily properties. The platform sources data in real-time from property managers, making it distinctive in terms of data freshness and source reliability.
Key details
- Sourced directly from property managers and first-party PMS integrations, with no scraped listings, MLS feeds, or public surveys, eliminating the inconsistency, fragmentation, and compliance risks that come with third-party data collection
- Covers millions of units across 17,000+ ZIP codes, spanning both multifamily and scattered-site rental markets
- Refresh cadences vary by product and needs: real-time, daily, weekly, monthly, or custom schedules
- Accessible via API and additional delivery options including direct data feeds
- Supports portfolio monitoring, acquisition underwriting, research applications, and downstream product development across GIS, proptech, fintech platforms, and more
2. Yardi Matrix
What it is
Yardi Matrix is the commercial real estate data and market intelligence division of Yardi Systems. The platform is purpose-built for investment professionals, equity investors, lenders, developers, brokers, and property managers who need property-level data to source, underwrite, and manage commercial real estate investments across multiple asset classes. While known primarily for multifamily, the platform covers multiple asset types including SFR, and provides market data, transaction history, and trend analysis.
Key details
- Covers multifamily, affordable housing, student housing, self storage, office, industrial, and vacant land — making it one of the few platforms that spans multiple asset classes in a single tool
- SFR coverage is included within the Yardi Matrix Multifamily dataset and tracks over 272,000 SFR units across more than 960 BTR communities
- Delivers monthly updates on rental rates, supply pipeline, rent growth, and occupancy for the BTR/SFR segment, supporting investment prospecting, preliminary underwriting, and asset management
- Data is sourced through Yardi’s own property management software ecosystem, giving it strong visibility into institutionally managed assets but limited reach into non-Yardi-managed or smaller-operator inventory
- SFR coverage is scoped to institutionally managed BTR communities of 50+ units and does not extend to scattered-site single-family rentals, which represent the majority of the approximately 18–20 million SFR units in the U.S. Organizations with use cases beyond the institutional BTR segment should assess coverage fit accordingly
3. HouseCanary
What it is
HouseCanary is a residential real estate data and valuation platform with a broad product suite spanning automated valuation models, property records, forecasting, and mortgage data. It’s designed with a focus on buy-side use cases—investors, lenders, and capital markets teams needing property-level underwriting and acquisition analytics.
Key details
- Product suite for SFR investors includes a 50-state property search platform, a desktop underwriting tool (Property Explorer) combining AVM, ARV, and rental comps, a rental pricing tool (Data Explorer), MSA- and ZIP-level market analytics (Market Insights), and portfolio monitoring with proactive alerts on AVM value and LTV changes
- Property-level AVM and rental value models refreshed monthly; forward-looking price and rent forecasts support 36-month investment planning horizons
- Data is curated and normalized from thousands of public and private sources, with both AI-driven and manual quality control systems applied
- Block-level data granularity enables micro-market analysis within metros, a differentiator for investors evaluating assets in dense or heterogeneous submarkets
- Platform strength is concentrated on valuation, acquisition underwriting, and portfolio risk — organizations primarily seeking live rental market data, active listing feeds, or rent trend analytics at scale may find the offering less suited to those workflows
If accurate rental data matters to your decisions, we’re built for you
Dwellsy IQ supports teams across industries who need accuracy, scale, and trust in their rental data.
4. RentRange
What it is
RentRange is a rental data and AVM platform owned by Altisource, providing automated rent estimates, rental comps, and market metrics for single-family and small multifamily properties. It has historically served mortgage lenders, institutional SFR operators, rating agencies, and financial institutions needing auditable, defensible rent data for underwriting.
Key details
- Combines data from multiple public, licensed, and proprietary sources to produce rent estimates and market metrics at both the address and geography level, covering local, regional, and national markets
- Historical data extends back to January 2009, covering both national MLS data and extensive proprietary rental records
- Covers both distressed and non-distressed properties nationwide, making it applicable for REO workflows, default servicing, and standard investment underwriting
- Products include individual property rent reports, market metric reports by region, and investor lists for targeted outreach
- Delivered via API, bulk data licensing, and individual reports; also available as part of Altisource’s broader data stack alongside NestRange (AVM)
5. ATTOM Data
What it is
ATTOM Data is a nationwide property data aggregator that combines assessor and tax records, deed and mortgage history, foreclosure filings, AVM models, parcel boundaries, demographic data, and hazard risk indicators into a standardized property-level dataset. The platform serves both residential and commercial real estate with flexible delivery options.
Key details
- Data is sourced from county tax assessors, recorder offices, foreclosure records across 3,000+ U.S. counties, supplemented by an in-house GIS team and third-party proprietary sources, then processed through a 20-step validation and standardization pipeline
- Supports SFR underwriting, portfolio enrichment, risk modeling, and downstream proptech and fintech product development
- Nationwide coverage across all 50 states with standardized field mappings, supporting SFR analysis that spans rental rates, home price trends, and gross rental yield modeling at the county level
- As a public records-based platform, data freshness is subject to recording lags at the county level, which can result in some datasets reflecting conditions several weeks behind current market activity
- Refresh cadence varies by dataset and is defined contractually; platform consolidation history — including the Estated acquisition — means version control diligence is advisable for teams building on top of the data
6. SFR Analytics
What it is
SFR Analytics is an AI-powered real estate data and analytics platform purpose-built for SFR investors. It provides rental data, institutional investor profiles, lending intelligence, borrower tracking, and interactive market heat maps showing where active investors are buying.
Why it matters
- Enterprise data solution provides property-level detail with daily updates, including ownership records with entity resolution, complete transaction records, rental listings with lease terms and rates, and investor acquisition tracking
- Delivered via SFTP, cloud storage integration (AWS S3, Google Cloud, Azure), direct database feeds, and API access across all 50 states and 3,200+ counties
- Investor heat maps reveal market concentration and purchase patterns of top institutional players
- Rental analytics include yield comparison, occupancy rates, and neighborhood-level price trends
- Designed for deal sourcing and competitive intelligence, not just valuation
FAQ
What’s the best single-family rental provider in 2026?
It depends on your needs. Dwellsy IQ is the strongest option for teams that need accurate, unit-level rental data for underwriting, valuation, and feeding downstream products. For buy-side acquisition analytics and AVM-focused workflows, HouseCanary is a strong fit. For institutional BTR market intelligence, Yardi Matrix.
What data should I use for due diligence on a SFR acquisition?
A complete due diligence stack typically combines live rental comps and current market rents (e.g. Dwellsy IQ), property-level valuation and AVM data (e.g. HouseCanary), ownership and transaction history (e.g. SFR Analytics), and supply pipeline and market trend context (e.g. Yardi Matrix for BTR markets). The right mix depends on your asset type, market, and underwriting model.
