Find out the rental market snapshot for cities in new-jersey

Explore in-depth rental data for every city in new-jersey

absecon
asbury park
atlantic city
audubon
barrington
bayonne
belle mead
bellevilleship
bergenfield
berkeley heightsship
beverly
bloomfieldship
bloomingdale
bogota
boonton
bound brook
brickship
budd lake
burlington
carteret
cedarville
chatham
cherry hillship
chesilhurst
city of orangeship
clarkship
clayton
clementon
cliffside park
collingswood
cranfordship
deptfordship
dumont
east brunswickship
east orange
east rutherford
edgewater
edisonship
egg harborship
elizabeth
elmwood park
englewood
eveshamship
ewingship
fair lawn
flemington
florham park
fort lee
franklin
franklin lakes
franklinship
freehold
glassboro
gloucestership
guttenberg
hackensack
hackettstown
hamiltonship
harrison
hawthorne
highland park
hillsboroughship
hillsideship
hoboken
howellship
irvingtonship
iselin
jacksonship
jeffersonship
jersey city
kearny
keyport
laceyship
lakewood
lakewoodship
lawrenceship
linden
little egg harborship
little ferry
livingstonship
lodi
long branch
lumbertonship
lyndhurstship
mantuaship
maple shadeship
maplewoodship
marlton
matawan
medfordship
middlesex
milford
monroeship
montclairship
moorestownship
morris plains
morristown
mount arlington
mount hollyship
mount laurelship
neptuneship
new brunswick
newark
north bergenship
north brunswickship
north plainfield
nutleyship
oceanship
old bridge
park ridge
parsippany troy hillsship
passaic
paterson
pembertonship
pennsaukenship
perth amboy
phillipsburg
piscatawayship
plainsboroship
pleasantville
princeton
rahway
raritan
red bank
ridgewood
roseland
roselle
roxburyship
secaucus
somerset
somerville
south amboy
south bound brook
south orange villageship
spotswood
springfieldship
stanhope
teaneckship
toms river
trenton
union city
unionship
ventnor city
vernonship
veronaship
voorhees
wallington
wanaque
wayneship
weehawkenship
west new york
west orangeship
westfield
westwood
wharton
williamstown
willingboroship
wood ridge
woodbridge
woodbridgeship

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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