Find out the rental market snapshot for cities in michigan

Explore in-depth rental data for every city in michigan

ann arbor
auburn hills
battle creek
birmingham
brownship
carleton
clarkship
clawson
clintonship
commerce chartership
dearborn heights
detroit
east lansing
farmington hills
ferndale
flint
grand blanc
grand rapids
grandville
harper woods
harrisship
holt
inkster
jackson
kalamazoo
lansing
midland
muskegon
new haven
northville
novi
oak park
pontiac
resortship
rochester
rochester hills
roseville
royal oak
saginaw
shelbyship
southfield
southgate
sterling heights
troy
warren
west monroe
westland
whitmore lake
wyoming
ypsilanti

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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