Find out the rental market snapshot for cities in ohio

Explore in-depth rental data for every city in ohio

akron
amelia
aurora
avon
avon lake
barberton
batavia
beachwood
beckett ridge
berea
blacklick estates
brunswick
canal winchester
canfield
canton
carlisle
centerville
chagrin falls
cincinnati
cleveland
cleveland heights
columbus
cuyahoga falls
dayton
deer park
delaware
dublin
east cleveland
elyria
englewood
euclid
fairborn
fairfield
fairview park
franklin
gahanna
gallipolis
garfield heights
georgetown
grove city
groveport
hamilton
harrison
hilliard
hubbard
hudson
kent
lakewood
lancaster
lebanon
lewisburg
lewisville
lockbourne
lorain
loveland
macedonia
madison
maineville
maple heights
marysville
mason
mayfield heights
medina
mentor
mentor on the lake
miamisburg
middletown
milford
monroe
morrow
new albany
newark
north canton
north olmsted
north ridgeville
north royalton
northfield
northwood
oxford
painesville
parma
parma heights
pataskala
perrysburg
pickerington
powell
reading
reynoldsburg
rocky river
sarahsville
shaker heights
sheffield lake
sidney
solon
springboro
springdale
steubenville
stow
streetsboro
strongsville
tiffin
toledo
trenton
troy
twinsburg
uniontown
university heights
wadsworth
warren
warrensville heights
washington court house
west hill
west jefferson
west manchester
westerville
westlake
willoughby
willoughby hills
willowick
xenia
youngstown
zanesville

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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