Rental market snapshot for Miami Lakes, Florida

Miami Lakes, Florida Rental Property Market Overview

The average rent for an apartment in Miami Lakes is $2,688. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -11.9% over the past year.

Miami Lakes is a town in Miami-Dade County, Florida, United States. The population was 29,361 at the 2010 census. Miami Lakes is one of the youngest cities in the county; incorporated in December 2000, the town has experienced rapid commercial and residential growth. Miami Lakes is located near Hialeah, Miami Springs, and North Miami Beach. Miami Lakes is a town in Miami-Dade County, Florida, United States. The population was 29,361 at the 2010 census. Miami Lakes is one of the youngest cities in the county; incorporated in December 2000, the town has experienced rapid commercial and residential growth. Miami Lakes is located near Hialeah, Miami Springs, and North Miami Beach. Miami Lakes is a planned community developed by Graham Companies, which also developed the nearby community of Tamiami. The town was designed with a Spanish theme and features extensive landscaping, lakes, canals, and winding roads. The town is home to several corporate headquarters, including American Airlines, Benihana, Carnival Corporation, and Perry Ellis International.

Last Updated December 23, 2022

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Average monthly rent graph in Miami Lakes Florida | Cost of Living

  • The most expensive ZIP Code in Miami Lakes is 33016 with an average price of $3,779
  • The cheapest ZIP Code in Miami Lakes is 33014 with an average price of $1,885

Miami Lakes ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
133016$3,779
233018$3,270
333018$3,160
433014$2,690

Live near Miami Lakes, Florida's Top Sights and Attractions

Barbara Goleman Highschool Park is a large park with plenty of green space to relax or play in. The park has a playground, a basketball court, a tennis court, and a large pond.

The park has a playground, pavilions, a basketball court, a walking trail, and a lake.

Royal Oaks Park is a beautiful park located in Miami Lakes, Florida. The park features a variety of amenities including a playground, picnic areas, a walking trail, and a pond. The park is also home to a variety of wildlife, including ducks, geese, and turtles.

This attraction is a large park with plenty of green space for picnics and games, a playground, and a walking trail. There is also a lake where you can fish or paddleboat.

Miami Lakes Picnic Park is a beautiful park with plenty of picnic tables and grills, a playground, and a large lake perfect for fishing or swimming. The park also has a walking trail, a basketball court, and a pavilion that can be rented for events.

Ml Tax Dist P 74 Meadow Walk is a beautiful nature trail that winds through the Miami Lakes area. The trail is perfect for a leisurely stroll or a vigorous hike, and offers stunning views of the surrounding area.

The Miami Lakes, Florida attraction is a park site that is located in the city. The park site is located in the city center and is a popular spot for locals and visitors alike. The park site is home to a variety of different activities and attractions, including a playground, a swimming pool, a basketball court, and a picnic area.

The Ml Tax Dist P 55 Library Site is a public library located in Miami Lakes, Florida. The library offers a variety of services and resources to the community, including a wide selection of books, magazines, and other materials.

Miami Lakes, Florida area median rent change by ZIP Code map

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How does Miami Lakes compare to other cities in Florida ?

citymedian price
Saint Petersburg$2,149
Ocoee$2,243
Apopka$2,090
Lake Clarke Shores$1,998
Montverde$1,875
Ft Myers$2,399
Homestead$2,145
Mims$2,195

Average household income in Miami Lakes area graph - US Census

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The median household income in Miami Lakes in 2021 was $77,535. This represents a 21.5% change from 2011 when the median was $63,794.

#categorypercent
0Less than $10,0002.9%
1$10,000 to $14,9992.5%
2$15,000 to $19,9991.6%
3$20,000 to $24,9992.8%
4$25,000 to $29,9993.6%
5$30,000 to $34,9994.7%
6$35,000 to $39,9993.9%
7$40,000 to $44,9994.5%
8$45,000 to $49,9992.7%
9$50,000 to $59,9997.0%
10$60,000 to $74,99910.6%
11$75,000 to $99,99913.9%
12$100,000 to $124,99910.2%
13$125,000 to $149,9997.8%
14$150,000 to $199,99910.3%
15$200,000 or more11.0%

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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