Find out the rental market snapshot for cities in illinois

Explore in-depth rental data for every city in illinois

addison
algonquin
alsip
antioch
arlington heights
aurora
bartlett
batavia
belleville
bellwood
bensenville
berwyn
bloomington
bolingbrook
bridgeview
broadview
brookfield
buffalo grove
burbank
calumet city
carbondale
carol stream
carpentersville
cary
champaign
chicago
chicago heights
cicero
country club hills
crest hill
crete
crystal lake
darien
deerfield
dekalb
des plaines
dolton
downers grove
elgin
elk grove village
elmhurst
elmwood park
evanston
evergreen park
fairview heights
frankfort
franklin park
geneva
gilberts
glen ellyn
glendale heights
glenview
glenwood
granite city
grayslake
gurnee
hanover park
hickory hills
highland park
hillside
hoffman estates
homewood
huntley
ingalls park
itasca
joliet
la grange
lake in the hills
lake villa
lake zurich
lakemoor
lemont
lincolnwood
lindenhurst
lisle
lockport
lombard
lyons
macomb
matteson
maywood
mchenry
melrose park
minooka
monee
montgomery
morton grove
mount prospect
mundelein
naperville
niles
norridge
north aurora
northbrook
o fallon
oak forest
oak lawn
oak park
orland hills
orland park
oswego
palatine
palos hills
park forest
park ridge
peoria
pingree grove
plainfield
plano
prospect heights
rantoul
richton park
river grove
riverdale
riverside
rockford
rolling meadows
romeoville
roselle
sailor springs
savoy
schaumburg
shorewood
skokie
south holland
springfield
streamwood
swansea
tinley park
urbana
vernon hills
villa park
warrenville
waukegan
westchester
westmont
wheaton
wheeling
willowbrook
wilmette
winfield
woodridge
woodstock

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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