Find out the rental market snapshot for cities in florida

Explore in-depth rental data for every city in florida

altamonte springs
apollo beach
apopka
atlantic beach
auburndale
aventura
bartow
belle glade
belle isle
belleair bluffs
biscayne park
boca raton
bonita springs
boynton beach
bradenton
brandon
brooksville
callahan
cape coral
captiva
casselberry
celebration
chuluota
citrus springs
clearwater
clermont
cocoa
cocoa beach
coconut creek
cooper city
coral gables
coral springs
crestview
cutler bay
dade city
dania beach
davenport
davie
daytona beach
de funiak springs
debary
deerfield beach
deland
delray beach
deltona
destin
doral
dover
dundee
dunedin
eagle lake
edgewater
ellenton
englewood
estero
eustis
fern park
fernandina beach
fleming island
fort lauderdale
fort myers
fort pierce
fort walton beach
freeport
fruitland park
gainesville
gibsonton
gotha
grand ridge
grant valkaria
green cove springs
greenacres
groveland
gulf breeze
gulfport
haines city
hallandale beach
hastings
heathrow
hialeah
hialeah gardens
hilliard
holiday
hollywood
homestead
homosassa
howey in the hills
hudson
indialantic
indian rocks beach
jacksonville
jacksonville beach
jupiter
kenneth city
kissimmee
lady lake
lake alfred
lake mary
lake park
lake wales
lake worth
lakeland
lakewood park
land o lakes
lantana
largo
lauderdale lakes
lauderhill
lecanto
leesburg
lehigh acres
longwood
loxahatchee groves
lutz
madeira beach
maitland
margate
mary esther
mascotte
melbourne
miami
miami beach
miami gardens
miami lakes
miami shores
middleburg
mims
minneola
miramar
montverde
morriston
mount dora
mount plymouth
mulberry
naples
neptune beach
new port richey
new smyrna beach
newberry
niceville
nokomis
north bay village
north fort myers
north lauderdale
north miami
north miami beach
north palm beach
north port
north redington beach
oakland
oakland park
ocala
ocoee
odessa
oldsmar
orange city
orange park
orlando
ormond beach
oviedo
pahokee
palm bay
palm beach
palm beach gardens
palm coast
palm harbor
palm springs
palmetto
palmetto bay
panama city
panama city beach
parkland
pembroke pines
pensacola
pinellas park
plant city
plantation
poinciana
polk city
pompano beach
ponce de leon
ponce inlet
port charlotte
port orange
port richey
port st lucie
punta gorda
redington shores
riverview
riviera beach
rockledge
royal palm beach
ruskin
safety harbor
san antonio
sanford
sarasota
satellite beach
seffner
seminole
sorrento
south daytona
south pasadena
spring hill
st augustine
st augustine
st augustine beach
st cloud
st pete beach
st petersburg
stuart
sumatra
sun city center
sunrise
tallahassee
tamarac
tampa
tarpon springs
tavares
temple terrace
the villages
thonotosassa
titusville
treasure island
trinity
valrico
venice
vero beach
weeki wachee
wellington
wesley chapel
west melbourne
west miami
west palm beach
west park
weston
wilton manors
wimauma
windermere
winter garden
winter haven
winter park
winter springs
yulee
zephyrhills

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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