Rental market snapshot for Mascotte, Florida

Mascotte, Florida Rental Property Market Overview

The average rent for an apartment in Mascotte is $1,697. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -4.2% over the past year.

Mascotte is a city located in Lake County, Florida. As of the 2010 census, the city had a population of 5,163. Mascotte is located in central Florida, approximately 30 miles west of Orlando. The city is known for its small-town charm and is a popular destination for retirees.

Last Updated December 23, 2022

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Average monthly rent graph in Mascotte Florida | Cost of Living

  • The most expensive ZIP Code in Mascotte is 34753 with an average price of $2,089
  • The cheapest ZIP Code in Mascotte is 34753 with an average price of $1,695

Mascotte ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
134753$2,089
234753$1,919

Live near Mascotte, Florida's Top Sights and Attractions

Mascotte Recreational Complex is a large park with a playground, a basketball court, and a picnic area. The park also has a walking trail, a pond, and a pavilion.

The Mascotte Civic Center is a beautiful building that was built in the early 1900s. It is located in the heart of downtown Mascotte and is surrounded by a park. The Civic Center is home to a variety of events and activities, including a farmers market, concerts, and art shows.

Mascotte, Florida area median rent change by ZIP Code map

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How does Mascotte compare to other cities in Florida ?

citymedian price
Hallandale Beach$4,300
Naples$3,014
Naples$2,995
Bartow$1,745
Fleming Island$2,099
Heathrow$1,978
Saint Augustine Shores$1,955
Tavares$2,065

Average household income in Mascotte area graph - US Census

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The median household income in Mascotte in 2021 was $56,173. This represents a 10.7% change from 2011 when the median was $50,729.

#categorypercent
0Less than $10,0002.0%
1$10,000 to $14,9991.0%
2$15,000 to $19,9991.2%
3$20,000 to $24,9993.3%
4$25,000 to $29,99916.2%
5$30,000 to $34,9992.9%
6$35,000 to $39,9991.6%
7$40,000 to $44,99913.4%
8$45,000 to $49,9992.7%
9$50,000 to $59,99917.3%
10$60,000 to $74,99916.9%
11$75,000 to $99,99913.8%
12$100,000 to $124,9993.3%
13$125,000 to $149,9993.3%
14$150,000 to $199,9991.0%
15$200,000 or more0.2%

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Frequently asked questions

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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