Rental market snapshot for Lake Dallas, Texas

Lake Dallas, Texas Rental Property Market Overview

Lake Dallas, Texas is a small city located in Denton County, with a population of 7,722 as of 2021, according to the US Census. The city is situated on the shores of Lake Lewisville and is known for its recreational activities, such as fishing, boating, and swimming. The city also offers a variety of shopping and dining options, as well as a variety of parks and trails. Lake Dallas is a great place to live, work, and play.

The average rent for an apartment in Lake Dallas is $2,038. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -5.6% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Lake Dallas Texas | Cost of Living

  • The most expensive ZIP Code in Lake Dallas is 75065 with an average price of $2,195
  • The cheapest ZIP Code in Lake Dallas is 75065 with an average price of $2,140

Lake Dallas ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
175065$2,195

Live near Lake Dallas, Texas's Top Sights and Attractions

City Park is a beautiful outdoor space located in the heart of Lake Dallas, Texas. It features a large lake with a walking trail, a playground, picnic areas, and a variety of sports courts. The park is a popular spot for locals to enjoy a variety of outdoor activities, including fishing, swimming, and boating. There are also plenty of benches and tables for visitors to relax and take in the scenery. The park is well-maintained and provides a peaceful atmosphere for visitors to enjoy.

Willow Grove Park is a scenic park located on the shores of Lake Dallas. It features a variety of outdoor activities, including a swimming beach, fishing pier, boat ramp, picnic areas, playgrounds, and walking trails. The park also offers a variety of amenities, such as a concession stand, restrooms, and a pavilion. Visitors can also enjoy stunning views of the lake and the surrounding area.

Community Park is a sprawling outdoor recreation area located in a picturesque setting near a large lake. It features a variety of amenities, including a playground, picnic areas, walking trails, and a fishing pier. There are also several sports fields, including baseball, softball, and soccer, as well as a disc golf course. The park is a popular spot for families, as it offers plenty of activities for children and adults alike.

River Oaks Park is a beautiful outdoor destination located in Lake Dallas, Texas. It features a large lake with a fishing pier, a playground, a picnic area, and a walking trail. The lake is stocked with bass, catfish, and sunfish, making it a great spot for fishing. The playground is equipped with swings, slides, and other fun activities for kids. The picnic area has plenty of tables and grills for a family cookout. The walking trail winds through the park and offers stunning views of the lake and surrounding area.

Lake Dallas City Park is a picturesque park situated on the banks of a large lake. It features a variety of outdoor activities, including a playground, picnic areas, walking trails, and a boat ramp. Visitors can also enjoy fishing, swimming, and boating on the lake. The park also has a pavilion and a sand volleyball court. The park is surrounded by lush greenery and offers stunning views of the lake and the surrounding area.

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Lake Dallas, Texas area median rent change by ZIP Code map

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How does Lake Dallas compare to other cities in Texas ?

citymedian price
Corsicana$1,111
Fate$2,180
Waxahachie$2,160
Bacliff$1,895
Galena Park$1,345
Fort Bend County$2,275
San Antonio $1,525
Euless$1,545

Average household income in Lake Dallas area graph - US Census

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The median household income in Lake Dallas in 2021 was $64,805. This represents a -1.8% change from 2011 when the median was $66,022.

#categorypercent
0Less than $10,0003.0%
1$10,000 to $14,9994.0%
2$15,000 to $19,9990.5%
3$20,000 to $24,9992.1%
4$25,000 to $29,99911.6%
5$30,000 to $34,9990.8%
6$35,000 to $39,9991.8%
7$40,000 to $44,9995.6%
8$45,000 to $49,9992.3%
9$50,000 to $59,9996.8%
10$60,000 to $74,99917.3%
11$75,000 to $99,99918.0%
12$100,000 to $124,99912.1%
13$125,000 to $149,9993.7%
14$150,000 to $199,9997.6%
15$200,000 or more2.8%

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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