Find out the rental market snapshot for cities in georgia

Explore in-depth rental data for every city in georgia

acworth
adairsville
alpharetta
atlanta
attapulgus
auburn
austell
ball ground
barnesville
bethlehem
braselton
bremen
brooks
brunswick
buford
canton
carrollton
cartersville
chamblee
chatsworth
clarkston
college park
columbus
commerce
conley
conyers
covington
cumming
dacula
dallas
dawsonville
decatur
doraville
douglasville
duluth
dunwoody
east ellijay
east point
ellenton
evans
fairburn
fayetteville
flowery branch
forest park
fort stewart
gainesville
gillsville
grantville
grayson
griffin
grovetown
hampton
hapeville
harlem
hephzibah
hinesville
hiram
hogansville
holly springs
hoschton
jackson
jefferson
johns creek
jonesboro
kennesaw
kingston
lawrenceville
lilburn
lithia springs
lithonia
locust grove
loganville
lovejoy
mableton
macon
madison
marietta
martinez
mcdonough
midway
milner
milton
monroe
morrow
newnan
norcross
oakwood
oxford
palmetto
peachtree city
pendergrass
pooler
port wentworth
porterdale
powder springs
richmond hill
riverdale
rockmart
roswell
sandy springs
savannah
scottdale
senoia
sharpsburg
smyrna
snellville
social circle
springfield
statham
stockbridge
stone mountain
sugar hill
suwanee
temple
thomson
tucker
tyrone
union city
valdosta
villa rica
warner robins
white
winder
winterville
woodbine
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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