AI-enriched • Normalized • Market-ready
Trends IQ transforms millions of raw rental records into statistically consistent rent price trends. Covering single-family rentals (SFR) and multifamily housing nationwide, Trends IQ provides aggregated, benchmark-ready insights.
Rent price trends are normalized across markets to support apples-to-apples comparison between ZIP codes, MSAs, states, and national baselines.
Trends begin with deep primary-source rental data from systems of record where rents are set and finalized. Rigorous statistical methodologies establish reliable baselines.
AI and machine-learning models extend trend visibility into less urbanized and data-sparse markets while maintaining statistical integrity.
Access rent price trends with historical coverage dating back to January 2020, enabling long-term analysis, seasonality tracking, and cycle comparison.
Track rent price movement across 16K+ ZIP codes, 800+ MSAs, and U.S. metros.
Rent price trends for both single-family rentals (SFR) and multifamily apartments, segmented by property type and bedroom count.
Aggregated rent price trend data is delivered directly to client-owned AWS and Azure environments for easy integration into dashboards, models, and analytics workflows.
All rent price trends are derived exclusively from first-party property management data—no scraped, survey, or private data.
At PropTech IQ, we're big on data. After decades of collective Multifamily experience, we've learned that clean data, and granular analysis, are the best ways to understand how proptech can and will affect a community's NOI and ROI. Leveraging Dwellsy IQ as one of our primary sources of truth as it relates to live and historical market data, we can provide a more accurate picture of the potential value of a successful proptech adoption than ever before. By leveraging factual rental data in this way, we not only enhance our product offerings but also drive strategic growth across the PropTech sector.

Scraped listings and biased or thin samples create false trends. Trends IQ applies AI-enriched trend modeling to millions of rental records sourced from property management systems, producing statistically consistent rent price benchmarks across 16K+ ZIP codes and 800+ MSAs.
Rent price trends measure how rental prices change over time across markets. Trends IQ calculates these trends using aggregated, cleaned, and statistically smoothed rental data to provide reliable benchmarks.
Trends IQ aggregates rental data after removing duplicates and correcting anomalies, then applies median standardization and smoothing techniques such as LOESS, EMA, and Gaussian filtering to produce consistent trend signals. Machine- and deep-learning layers then enrich remaining gaps to improve coverage, continuity, and cross-market consistency.
All rent price trends are derived from first-party property management system data sourced directly from over 25,000 property managers through Dwellsy IQ.
Yes. Trends IQ includes rent price trends for both single-family rentals (SFR) and multifamily apartment properties, segmented by bedroom count.
Trends IQ focuses on aggregated and benchmarked rent price trends, not raw real-time listings. It is designed for market analysis, benchmarking, and long-term trend evaluation rather than point-in-time pricing.
Rent price trends are available at national, state, city, MSA, and ZIP code levels, enabling both macro and hyper-local analysis.
Yes. Trends IQ contains no scraped data, no survey data, no PII, and no private information. All trends are derived from compliant, first-party systems of record.
Total IQ provides property-level, real-time rental data. Trends IQ provides aggregated, statistically consistent rent price trends designed for benchmarking, research, and macro analysis.
Trends IQ is delivered directly to client-owned AWS and Azure environments for seamless integration with analytics and reporting platforms.