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

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

albany
amityville
amsterdam
babylon
baldwinsville
ballston spa
bay shore
binghamton
bohemia
brentwood
brockport
bronx
brooklyn
buffalo
canandaigua
central islip
cheektowaga
clifton park
coram
corinth
deer park
delaware
east meadow
east syracuse
elmsford
endicott
fairport
farmingdale
farmington
farmingville
floral park
fort drum
garden city
gasport
glen cove
glenville
great neck
guilderland
hamburg
hauppauge
haverstraw
hempstead
henrietta
hewlett
hicksville
highland
holbrook
huntington station
island park
ithaca
jamestown
kingston
liverpool
long lake
malta
mamaroneck
manhattan
manlius
mastic
medford
melville
menands
middle island
middletown
mineola
monroe
montgomery
mount vernon
nanuet
new rochelle
new york
newburgh
niskayuna
orchard park
ossining
patchogue
peekskill
port jefferson
port jefferson station
poughkeepsie
rensselaer
rochester
rockville centre
rocky point
ronkonkoma
saratoga springs
sayville
schenectady
scotia
selden
skaneateles
sleepy hollow
smithtown
sound beach
spencerport
staten island
syracuse
tarrytown
tonawanda
troy
uniondale
utica
valley stream
vestal
wappingers falls
warwick
webster
west babylon
west islip
west seneca
westbury
white plains
williamsville
woodmere
yaphank
yonkers

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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