Rental market snapshot for Dover, Florida

Dover, Florida Rental Property Market Overview

The average rent for an apartment in Dover is $2,338. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.62% over the past year.

Dover is a small town located in the Tampa Bay area of Florida. The town is home to a variety of businesses and amenities, including a grocery store, a pharmacy, a gas station, and a number of restaurants. Dover is also home to a number of parks and recreation areas, including a public pool, a playground, and a walking trail.

Last Updated December 23, 2022

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Average monthly rent graph in Dover Florida | Cost of Living

  • The most expensive ZIP Code in Dover is 33527 with an average price of $2,500
  • The cheapest ZIP Code in Dover is 33527 with an average price of $2,299

Dover ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
133527$2,500

Live near Dover, Florida's Top Sights and Attractions

Dover Park is a beautiful park located on the waterfront in Dover, Florida. The park features a variety of amenities including a playground, picnic pavilions, a walking trail, and a fishing pier. Dover Park is a great place to enjoy the outdoors and spend time with family and friends.

Sydney Dover Trail Park is a beautiful park located in Dover, Florida. The park features a variety of amenities including a playground, picnic pavilion, walking trails, and a pond. The park is also home to a variety of wildlife, including ducks, geese, and turtles.

Dover, Florida area median rent change by ZIP Code map

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How does Dover compare to other cities in Florida ?

citymedian price
Grand Island$1,977
Port Saint Lucie$2,325
Apollo Beach$2,195
Port St Lucie$2,090
Tarpon Springs$2,100
Ft Myers$2,399
Wellington$2,840
North Fort Myers$2,340
North Redington Beach$2,660

Average household income in Dover area graph - US Census

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The median household income in Dover in 2021 was $27,131. This represents a 8.0% change from 2011 when the median was $25,112.

#categorypercent
0Less than $10,0007.3%
1$10,000 to $14,99923.6%
2$15,000 to $19,9999.4%
3$20,000 to $24,9991.5%
4$25,000 to $29,9999.6%
5$30,000 to $34,9994.2%
6$35,000 to $39,9993.0%
7$40,000 to $44,99911.6%
8$45,000 to $49,9993.7%
9$50,000 to $59,9995.7%
10$60,000 to $74,9997.8%
11$75,000 to $99,9997.0%
12$100,000 to $124,9990.0%
13$125,000 to $149,9993.2%
14$150,000 to $199,9992.5%
15$200,000 or more0.0%

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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