Rental market snapshot for Lavon, Texas

Lavon, Texas Rental Property Market Overview

Lavon, Texas is a small town located in Collin County, with a population of 5,342 as of 2021 according to the US Census. The town is known for its rural charm and friendly atmosphere, with plenty of outdoor activities to enjoy. Lavon is home to a variety of businesses, including restaurants, shops, and services. The town also boasts a number of parks and trails, making it a great place for outdoor recreation. With its close proximity to Dallas and Fort Worth, Lavon is a great place to call home.

The average rent for an apartment in Lavon is $2,071. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.51% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Lavon Texas | Cost of Living

  • The most expensive ZIP Code in Lavon is 75166 with an average price of $2,160
  • The cheapest ZIP Code in Lavon is 75166 with an average price of $1,975

Lavon ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
175166$2,160

Live near Lavon, Texas's Top Sights and Attractions

This attraction is a replica of the infamous hideout of the notorious outlaws Bonnie and Clyde. It is located in the small town of Lavon, Texas and is a popular tourist destination. Visitors can explore the replica hideout, which includes a replica of the car Bonnie and Clyde used during their crime spree. The hideout also includes a museum with artifacts from the time period, including photographs and newspaper clippings. There is also a gift shop where visitors can purchase souvenirs.

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Lavon, Texas area median rent change by ZIP Code map

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How does Lavon compare to other cities in Texas ?

citymedian price
Prosper$2,717
Savannah$2,425
Savannah$2,350
Braunfels$2,095
Cedar Hill$2,040
Lake Dallas$2,165
Bulverde$2,095
Longview$1,075

Average household income in Lavon area graph - US Census

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The median household income in Lavon in 2021 was $95,286. This represents a 28.2% change from 2011 when the median was $74,323.

#categorypercent
0Less than $10,0003.0%
1$10,000 to $14,9990.5%
2$15,000 to $19,9992.8%
3$20,000 to $24,9990.0%
4$25,000 to $29,9991.4%
5$30,000 to $34,9992.8%
6$35,000 to $39,9992.0%
7$40,000 to $44,9993.9%
8$45,000 to $49,9997.3%
9$50,000 to $59,9991.6%
10$60,000 to $74,9998.1%
11$75,000 to $99,99920.4%
12$100,000 to $124,99915.0%
13$125,000 to $149,99916.8%
14$150,000 to $199,9998.6%
15$200,000 or more5.9%

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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