Rental market snapshot for Holiday, Florida

Holiday, Florida Rental Property Market Overview

The average rent for an apartment in Holiday is $1,541. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -1.5% over the past year.

Holiday is a small town located in the northwestern part of Florida. The town is situated along the Gulf of Mexico and is known for its white sand beaches and clear blue waters. Holiday is also home to a number of small businesses and restaurants.

Last Updated December 23, 2022

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Average monthly rent graph in Holiday Florida | Cost of Living

  • The most expensive ZIP Code in Holiday is 34690 with an average price of $1,825
  • The cheapest ZIP Code in Holiday is 34690 with an average price of $1,445

Holiday ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
134690$1,825
234691$1,687
334691$1,675

Live near Holiday, Florida's Top Sights and Attractions

Anclote River Park is a beautiful park located on the Anclote River. The park has a playground, picnic pavilions, a fishing pier, and a boat ramp.

Anclote Gulf Park is a beautiful sandy beach with crystal clear water located on the Gulf of Mexico. The park has a playground, picnic pavilions, grills, and a fishing pier.

Aloha Gardens Park is a beautiful, tropical park located in Holiday, Florida. The park features lush gardens, a waterfall, a koi pond, and a variety of tropical plants and trees. Visitors can also enjoy a picnic in the park or take a stroll along the walking trail.

Holiday, Florida area median rent change by ZIP Code map

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How does Holiday compare to other cities in Florida ?

citymedian price
Sorrento$2,260
Altamonte Springs$1,910
Saint Augustine$2,335
Englewood$2,495
North Port$1,799
Ft Myers$2,399
Gibsonton$2,150
Cooper City$2,885
St. Cloud$2,150
Crawfordville$2,300

Average household income in Holiday area graph - US Census

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The median household income in Holiday in 2021 was $37,256. This represents a 1.0% change from 2011 when the median was $36,888.

#categorypercent
0Less than $10,0006.1%
1$10,000 to $14,99910.0%
2$15,000 to $19,9996.2%
3$20,000 to $24,9998.8%
4$25,000 to $29,9998.6%
5$30,000 to $34,9996.7%
6$35,000 to $39,9997.1%
7$40,000 to $44,9995.7%
8$45,000 to $49,9996.2%
9$50,000 to $59,9999.0%
10$60,000 to $74,99910.6%
11$75,000 to $99,9998.3%
12$100,000 to $124,9993.7%
13$125,000 to $149,9991.4%
14$150,000 to $199,9990.5%
15$200,000 or more1.0%

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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