Find out the rental market snapshot for cities in virginia

Explore in-depth rental data for every city in virginia

alexandria
annandale
arlington
ashburn
blacksburg
centreville
charlottesville
chesapeake
chester
dulles town center
fairfax
falls church
fredericksburg
gainesville
glen allen
hampton
harrisonburg
herndon
leesburg
lorton
lynchburg
manassas
manassas park
mclean
newport news
norfolk
petersburg
portsmouth
reston
richmond
roanoke
spotsylvania courthouse
springfield
stafford courthouse
sterling
suffolk
tysons corner
vienna
virginia beach
williamsburg
woodbridge
yorktown

Our data is best categorized as "alternative data", which is a burgeoning sector. Through partnerships and direct feeds, we extract key factual elements that are publicly available within rental listings on internet listing sites and property websites. Once aggregated, we mine through the data to parse out relevant insights and calculate important metrics, benchmarks, and other KPIs. Each week, our system sifts through millions of listing observations and other pockets of market information to deliver the most comprehensive picture of rental housing available.

This is a metric that we try not to overthink. Simply, we take each unique listing observation within a geographic boundary and calculate a simple average. Of course, we're careful to filter for duplicates and other listings that aren't reflective of the market.

Yes, but please attribute us accordingly.

Yes. We can deliver bulk raw data in various formats. Please contact us to discuss - [email protected].

While some of our data is refreshed daily and other data comes in weekly, the bulk of it comes in on a biweekly basis.

Our coverage is nationwide! In our platform, we have data points for every ZIP code and neighborhood boundary in the country.

Every rental housing unit is differentiated by attributes such as its location, square footage, and amenity composition. Thanks to machine learning and natural language processing technologies we deploy, we're able to deconstruct our rental listing data points and identify key amenities for each listing. With this information, we're able to give signals around how certain amenities drive rental pricing value in certain areas.

Well, we think so! At the highest level, our process is simple. Listings data is ingested, cleaned (de-duplicated. etc.), analyzed for insights, and then presented to our users.
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