Single-family rental investing has grown into a sophisticated, data-driven market. Whether you’re analyzing comps, underwriting acquisitions, or monitoring portfolio performance, the quality and accuracy of your data directly shapes decision-making. SFR markets span scattered-site rentals, build-to-rent communities, institutional portfolios, and mom-and-pop operations—each requiring different data approaches and coverage.
Finding the right data partner means matching your workflow to a provider that covers your asset type, offers the refresh cadence you need, and delivers insights in a format your team can actually use. The eight providers below represent distinct approaches to SFR data, from unit-level rental comps and automated valuations to institutional market intelligence and investor tracking.
Quick Overview List
- Dwellsy IQ — Real-time rental data sourced directly from property management systems, covering millions of SFR and multifamily units with unit-level accuracy and customizable refresh schedules.
- Yardi Matrix — Multi-asset-class market intelligence platform tracking institutional build-to-rent communities with monthly updates on rental rates, occupancy, and supply pipeline.
- ATTOM Data — Nationwide property data aggregator combining assessor records, deed history, foreclosure filings, and hazard risk across 3,000+ counties via flexible delivery options.
- HouseCanary — AI-powered valuation and analytics platform with property-level AVMs, rental value models, 36-month forecasting, and block-level neighborhood detail for acquisition underwriting.
- CoreLogic — Enterprise property information provider offering comprehensive parcel-level data, ownership history, transaction records, and market analytics across 160+ million U.S. properties.
- RentCast — Rental data and market insights platform delivering estimated rent values, occupancy trends, and rental yield benchmarks for single-family properties and investors.
- SFR Analytics — AI-powered SFR analytics platform providing rental data, investor acquisition tracking, heat maps, and borrower intelligence across all 50 states and 3,200+ counties.
- HelloData — Multifamily and rental analytics platform offering rental market insights, property performance benchmarking, and rent trend analysis via APIs and dashboards.
1. Dwellsy IQ
What it is
Dwellsy IQ is a rental data infrastructure built from direct connections to property management systems. The platform specializes in accurate, legally compliant rent data for both single-family rentals and multifamily properties by sourcing data in real-time from the systems property managers use operationally. This direct-from-source approach eliminates the fragmentation and inconsistency common in scraped or survey-based data.
Why it matters
- Unit-level accuracy sourced directly from PMS integrations rather than scraped listings or public surveys reduces data duplication and improves defensibility for underwriting and valuation workflows.
- Covers millions of units across 17,000+ ZIP codes spanning both scattered-site SFR and multifamily inventory, with coverage expanding continuously.
- Real-time refresh options support fast-moving deal analysis and market monitoring, while monthly or custom schedules fit portfolio and research workflows.
- Multiple product tiers (Total IQ, Trends IQ, API IQ, Comp IQ) allow teams to access raw unit-level data, benchmarked trend metrics, or direct API comps without over-buying unnecessary products.
How to use it
- API IQ delivers rental comps directly into your systems—query any address and receive comparable units from professionally managed inventory.
- Trends IQ applies statistical models to unit-level data to generate market-level rent benchmarks, eliminating the need to license raw data when trend analysis is the primary use case.
- Total IQ provides full access to raw unit-level records for custom analytics, modeling, and downstream product development.
- Accessible via API, bulk feeds, and direct integrations into platforms like Salesforce, data warehouses, and custom workflows.
- Historical data extends back to 2020, enabling longitudinal rent trend and volatility analysis across market cycles.
2. Yardi Matrix
What it is
Yardi Matrix is the commercial real estate data and market intelligence division of Yardi Systems. The platform serves investment professionals, equity investors, lenders, developers, and property managers with property-level data, transaction history, and trend analysis across multiple asset classes. While known for multifamily depth, the platform includes dedicated SFR coverage for institutional build-to-rent operators.
Why it matters
- Multi-asset coverage (multifamily, SFR/BTR, affordable housing, student housing, self-storage, office, industrial, vacant land) allows institutional investors to source and underwrite deals within a single tool.
- Data sourced through Yardi’s own PMS ecosystem provides strong visibility into professionally managed, institutional assets—particularly institutional BTR communities.
- Monthly updates on rental rates, occupancy, supply pipeline, and rent growth support investment prospecting and preliminary underwriting workflows.
- Coverage of over 272,000 SFR units across 960+ BTR communities with detailed ownership and management intelligence.
How to use it
- SFR coverage is scoped to institutionally managed BTR communities of 50+ units—not scattered-site rentals. Teams focused on mom-and-pop or hybrid portfolios should assess coverage fit.
- Supports deal sourcing by enabling property-level search and filtering by loan maturity, rent, occupancy, and other underwriting criteria.
- Monthly market reports provide MSA and submarket-level trend context for investment strategy and capital allocation planning.
- Ownership and LLC transparency data enables direct outreach to sellers and decision-makers.
- API access available for downstream integration into investment management and portfolio monitoring platforms.
3. 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, parcel boundaries, demographic data, and risk indicators into a standardized property-level dataset. The platform serves both residential and commercial real estate and emphasizes AI-ready data delivery across multiple formats.
Why it matters
- Comprehensive coverage across all 50 states with standardized field mappings supports SFR analysis spanning rental rates, home price trends, and gross rental yield modeling at county and national scales.
- Multi-source data (county records, assessor offices, recorded deeds, foreclosure filings) combined with proprietary validation allows teams to build more robust models than single-source alternatives.
- Flexible delivery options (API, bulk licensing, cloud delivery, bulk data files) fit diverse workflows and integration requirements across proptech, fintech, and enterprise teams.
- Parcel-level granularity with 160+ million properties and 9,000+ data attributes enables detailed risk modeling, AVM training, and portfolio enrichment.
How to use it
- Bulk data licensing for teams building internal analytics and custom models on top of standardized property attributes.
- API endpoints support on-demand property lookups using address, parcel number, APN, or coordinates—useful for pre-qualification and real-time investment screening tools.
- Cloud delivery (AWS, Snowflake) for high-volume data science and machine learning workflows.
- Data includes foreclosure status, ownership changes, lien status, tax assessments, and market indicators useful for default servicing, REO, and off-market prospecting.
- Refresh cadence varies by dataset type; transaction-level data reflects county recording lags, typically several weeks behind current market activity.
4. HouseCanary
What it is
HouseCanary is a residential real estate data and valuation platform with a comprehensive product suite spanning automated valuation models, property records, forecasting, and mortgage data. The platform is built with buy-side workflows in mind—investors, lenders, and capital markets teams needing property-level underwriting and acquisition analytics.
Why it matters
- AI-powered AVMs refreshed monthly with forward-looking price and rent forecasts support 36-month investment planning and loan portfolio risk monitoring.
- Block-level data granularity enables micro-market analysis within metros, useful for investors evaluating assets in dense or heterogeneous submarkets.
- Property Explorer combines AVM, ARV, and rental comps within a single underwriting interface, reducing tool-switching for acquisition teams.
- Market Insights provides MSA- and ZIP-level trends and neighborhood heat maps, helping teams understand where acquisition activity and price movement are concentrated.
- Data curated and normalized from thousands of public and private sources with both AI and manual quality control.
How to use it
- 50-state search platform enables deal sourcing by property characteristics, valuation range, and investment criteria—useful for outbound prospecting and off-market origination.
- Data Explorer API provides access to 75+ property, neighborhood, and market-level data points for integration into custom platforms and portfolio management systems.
- Monthly AVM refreshes and rental value model updates keep portfolio valuations current for loan servicers and institutional operators.
- Platform is strongest for valuation and acquisition underwriting; teams primarily seeking live rental market data or rent trend analytics at scale may find the offering less suited to those use cases.
5. CoreLogic
What it is
CoreLogic is an enterprise property information provider offering comprehensive parcel-level data, ownership history, transaction records, and market analytics. The platform aggregates raw data from county public records and applies proprietary techniques to transform it into standardized property datasets. Coverage spans 160+ million U.S. properties across 99.9% of the nation.
Why it matters
- Parcel-level data with 200+ attributes (ownership, property characteristics, tax assessments, transaction history) enables detailed portfolio analysis and risk modeling at scale.
- Historical deed and transaction records extend back 50+ years in most counties, supporting longitudinal analysis of market cycles and property appreciation.
- Tax assessment and valuation data refreshed in line with county cycle, providing baseline property value estimates and tax burden analysis for yield modeling.
- Integrated solutions combining property data, analytics, and risk management allow large teams to reduce tool fragmentation and consolidate data operations.
How to use it
- Property Basic module provides parcel details, ownership, tax assessment, and property characteristics; ideal for portfolios, underwriting models, and AVM training data.
- Owner Transfer module delivers transaction history and sales comps useful for valuation benchmarking and identifying recent sales patterns by market.
- Voluntary Lien Status and foreclosure data support default servicing, REO management, and distressed asset identification.
- API access, bulk licensing, and cloud delivery available; flexible for enterprise teams with existing data infrastructure.
- Best suited for large institutional investors, financial institutions, and proptech platforms with high-volume data needs and integration complexity.
6. RentCast
What it is
RentCast is a rental data and market insights platform that delivers estimated rent values, occupancy trends, and rental yield benchmarks for single-family properties. The platform combines data from multiple public, licensed, and proprietary sources to produce rent estimates and market metrics at the property and geography level.
Why it matters
- Affordable rental data solution designed for individual investors and smaller teams who need market rent estimates without committing to enterprise-scale licensing.
- Multi-source rent estimation approach reduces reliance on any single data feed, improving defensibility of rent projections in underwriting.
- Occupancy trend reporting and yield comparisons help investors understand where supply-demand dynamics are most favorable.
- Historical rent data enables analysis of rent volatility and growth patterns over time, supporting risk-adjusted return modeling.
How to use it
- Individual property rent reports available on-demand via web portal or API for single lookups and pre-qualification workflows.
- Market metric reports aggregated by geography support market selection and capital allocation decisions.
- Investor lists for targeted outreach enable deal sourcing and off-market prospecting.
- Coverage extends to both non-distressed and distressed properties, making it applicable for standard investment underwriting and REO workflows.
- Flexible pricing and smaller minimum commitments compared to enterprise data providers make it accessible for independent investors and mid-sized teams.
7. SFR Analytics
What it is
SFR Analytics is an AI-powered real estate data and analytics platform purpose-built for single-family rental investors. The platform provides rental data, institutional investor profiles, lending intelligence, borrower tracking, and interactive market heat maps showing where active investors are acquiring properties and at what price points.
Why it matters
- Investor acquisition tracking and heat maps reveal market concentration and buying patterns of institutional players, useful for competitive intelligence and deal sourcing strategy.
- Enterprise-grade property-level detail with daily updates including ownership records with entity resolution, transaction history, rental listings with lease terms, and pricing.
- Coverage across all 50 states and 3,200+ counties supports national portfolio analysis and cross-market opportunity identification.
- Designed for deal sourcing and market intelligence, not just valuation—helping teams understand where capital is flowing and what prices institutional operators are paying.
How to use it
- Rental analytics include yield comparison, occupancy rates, and neighborhood-level price trends for benchmarking and ROI forecasting.
- Borrower intelligence and lender tracking help teams understand financing availability and capital sources across markets.
- Delivered via SFTP, cloud storage integration (AWS S3, Google Cloud, Azure), direct database feeds, and API—flexible for technical teams with existing data pipelines.
- Daily updates mean data is more current than monthly snapshot providers, useful for real-time deal screening and competitive monitoring.
- Heat maps and investor profiles support market entry decisions and help teams identify sub-markets where less institutional competition exists.
8. HelloData
What it is
HelloData is a rental analytics platform offering rental market insights, property performance benchmarking, and rent trend analysis. The platform serves multifamily and rental professionals with tools to monitor rent changes, track market conditions, and benchmark property performance against peer portfolios.
Why it matters
- Purpose-built for rental operations teams managing multifamily and SFR portfolios, with built-in benchmarking against comparable properties and markets.
- Monthly rent and occupancy trend reports provide market-level context for pricing decisions and strategic planning.
- Dashboard-based interface makes market and property-level analytics accessible to non-technical users in property management and asset management roles.
- API access allows teams to integrate rent trend data and benchmarks into external reporting and portfolio management systems.
How to use it
- Rent trend monitoring helps property managers set competitive rents and identify markets where pricing power is strengthening or weakening.
- Benchmarking reports compare portfolio properties against similar-size, similar-market peers to identify underperforming assets and operational improvement opportunities.
- Market heat maps visualize where rents are rising fastest and where supply is tightening, informing expansion and capital deployment decisions.
- Accessible via web dashboard and API, supporting both manual analysis and automated reporting workflows.
- Pricing details are not available, so teams should request a quote based on portfolio size and data access needs.
FAQ
What’s the best single-family rental data provider in 2026?
It depends on your specific workflow and asset type. Dwellsy IQ is strongest for teams that need accurate, unit-level rental data for underwriting, valuation, and downstream product development. HouseCanary excels in buy-side acquisition analytics and AVM-focused workflows. Yardi Matrix serves institutional BTR market intelligence best. For teams prioritizing deal sourcing and competitive intelligence, SFR Analytics and RentCast offer distinct advantages. There’s no single “best”—match the provider to your workflow.
Do I need more than one data provider?
Almost always, yes. Most serious underwriting and analytics operations combine two or three sources—for example, a PMS-sourced rent comps layer (Dwellsy IQ), property-level valuations and forecasting (HouseCanary), and institutional market intelligence (Yardi Matrix). No single vendor covers every data type equally well. The right mix depends on your asset type, market focus, and the specific decisions your team makes.
What data should I use for due diligence on an SFR acquisition?
A complete due diligence stack typically combines live rental comps and current market rents (Dwellsy IQ or RentCast), property-level valuation and AVM data (HouseCanary or CoreLogic), ownership and transaction history (SFR Analytics), and supply pipeline and market trend context (Yardi Matrix for BTR markets). The right mix depends on your asset type, market, and underwriting model.
How important is refresh cadence when choosing a data provider?
It matters for your workflow. Real-time or daily refresh is essential for rapid deal screening and competitive monitoring. Monthly updates work for portfolio monitoring, market analysis, and strategic planning. Public records-based data (CoreLogic, ATTOM) has built-in county recording lags, sometimes several weeks behind market activity. Match the cadence to how quickly your decisions need to react to market changes.
Can I use these data providers for downstream products or AI model development?
Yes, but licensing terms and data use restrictions vary significantly. Some providers restrict use to internal analysis; others explicitly permit downstream product development, resale, and licensing. If you plan to build products on top of licensed data or use it in regulated workflows (mortgage, insurance), confirm downstream use rights in writing before committing. This is especially important for enterprise and proptech teams.
