Multifamily rental data
Multifamily pricing moves fast and gets obscured just as fast, unit-type averaging and self-reported comps all sit between a headline rent and the factual asking rent. Get the number those factors are hiding, sourced directly from the property management systems where rents are actually set.
First party • All multifamily property types • Unit-level
Not all multifamily sources are reliable
Self-reported comps have a built-in incentive problem
Most multifamily rent data comes from survey and web-scraping firms. Survey-based providers gather rents through secret shopper calls or web research and publish a range at the unit-type level, not the specific unit. Scraped data only reflects whatever units happen to be listed and vacant at the moment of the scrape, often duplicated across sites, and carries compliance risk since it’s pulled from listings that didn’t authorize redistribution.
Intermittent snapshots miss the turnover in between
These methods also aren’t continuous. A secret shopper call or a scrape captures a rent at one moment, and the data isn’t refreshed again until the next call or the next scrape. With typical unit turnover, a lot can change in that gap: a unit can be re-leased, repriced, or taken off the market entirely before the next check-in happens.
The only reliable source
Dwellsy IQ is sourced directly from the property management systems used to run multifamily communities, capturing final asking rent at the exact unit, updated daily. Because it’s tied to the system of record rather than a periodic outside check, Dwellsy IQ’s observations stay ahead of scraped or survey-based data on freshness by design, not by chance.
What you get with Dwellsy IQ’s multifamily data
Continuously updated
Data updates the moment it comes in from the source, not on a monthly or quarterly reporting cycle. A number reflects what’s happening in the market right now.
Breadth and depth
17M+ listings, 25,000+ property managers, 30+ PMS integrations, 800+ MSAs, and 16,000+ ZIP codes, covering roughly 75% of the professionally managed U.S. rental market.
50+ attributes, 250+ amenities
Every unit carries structured detail well beyond rent, unit characteristics, photos, and building features, all standardized so they’re usable the moment they arrive.
Unit-level precision
Every unit captured individually rather than rolled into a studio, one-bedroom, or two-bedroom average, with that same detail available aggregated whenever a use case calls for it.
Rolls up to any geography
The same underlying data scales cleanly from ZIP code to city, MSA, state, and national views, no separate sources to reconcile at different zoom levels.
Historical depth since January 2020
Multiple years of history behind every unit, enough to see how a market or building has actually moved, not just where it stands today.
Flexible delivery
Available via API, AWS S3, SFTP, Azure, or Google Cloud Drive, and MCP IQ for agent-based workflows, delivered in CSV, TSV, JSON, or Parquet.
How teams use Dwellsy IQ’s multifamily data
Our multifamily data supports different workflows depending on who’s using it, from underwriting teams to tech platforms. See how teams across each industry put Dwellsy IQ’s multifamily data to work.
Explore by industryWhere this data fits
The breadth and depth of Dwellsy IQ’s data reaches well past obvious use cases. Check out the Use Cases page to see where.
Explore use casesGet multifamily rental data scoped to your market
Tell us the geography and use case, and we’ll scope multifamily data that fits your needs.
FAQ
What counts as multifamily rental data in this dataset?
Every multifamily property type across the full bedroom range, with a 1 bedroom concentration, captured at the individual unit level.
How current is this data?
Our data is updated continuously at the source. Actual refresh frequency for your specific use case depends on delivery method.
How far back does historical multifamily data go?
January 2020 to present, covering the COVID-era rent shock and post-pandemic normalization period.
What geographic coverage is available?
16,000+ ZIP codes and 800+ MSAs nationwide, rolling up from unit-level data to ZIP, city, MSA, state, and national views.
How is this data delivered?
Available via API, AWS S3 bulk delivery, SFTP, Azure, Google Cloud Drive, or MCP IQ for agent-based workflows, in CSV, TSV, JSON, or Parquet.
Is any of this data private or personally identifiable?
No. The dataset is public, owner-disclosed listing data at the unit level. There is no PII and no private data involved.
What’s the best multifamily rental data provider?
Dwellsy IQ, because it sources multifamily data from 30+ PMS integrations across 25K+ property managers, capturing final asking rent per unit as it’s set, rather than reporting at the apartment-type or community-average level most survey-based providers use.
Is there an apartment data API for underwriting?
Dwellsy IQ’s API IQ delivers the multifamily dataset programmatically, unit-level or aggregated, filtered by geography or attribute, with no scraped or survey data mixed in, which matters when the output needs to hold up in an underwriting model.
Equal Housing Opportunity