Find out the rental market snapshot for cities in north-carolina

Explore in-depth rental data for every city in north-carolina

advance
angier
apex
asheboro
asheville
belmont
benson
bessemer city
bolivia
burlington
carrboro
cary
chapel hill
charlotte
cherryville
china grove
clayton
clemmons
concord
conover
cornelius
cramerton
dallas
davidson
denver
durham
fayetteville
four oaks
fuquay varina
garner
gastonia
gibsonville
goldsboro
graham
greensboro
greenville
harrisburg
havelock
haw river
henderson
hickory
high point
hillsborough
holly springs
hope mills
huntersville
indian trail
jamestown
kannapolis
kenly
kernersville
king
kings mountain
knightdale
leland
lewisville
lexington
lillington
lincolnton
louisburg
lowell
matthews
mcleansville
mebane
midland
mint hill
mocksville
monroe
mooresville
morrisville
mount airy
mount holly
mount pleasant
new bern
oakboro
pineville
raleigh
rocky mount
rolesville
rural hall
salem
salisbury
salvo
selma
shelby
smithfield
snow hill
southern pines
spencer
spring lake
stallings
stanley
statesville
tarboro
thomasville
troutman
unionville
wake forest
walkertown
washington
waxhaw
wendell
whitsett
wilmington
wingate
winston salem
winterville
youngsville
zebulon

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.
Made withDataherald