Rental market snapshot for Red Oak, Texas

Red Oak, Texas Rental Property Market Overview

The average rent for an apartment in Red Oak is $2,157. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.99% over the past year.

Red Oak is a city in central Ellis County, Texas, United States. The population was 11,727 at the 2010 census. It is part of the Dallas-Fort Worth metroplex.

Last Updated December 23, 2022

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Average monthly rent graph in Red Oak Texas | Cost of Living

  • The most expensive ZIP Code in Red Oak is 75154 with an average price of $2,194
  • The cheapest ZIP Code in Red Oak is 75154 with an average price of $2,100

Red Oak ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
175154$2,194

Live near Red Oak, Texas's Top Sights and Attractions

Watkins Park is a beautiful park located in Red Oak, Texas. The park features a playground, a pavilion, a walking trail, and a pond.

Pearson Park is a beautiful, spacious park located in the heart of Red Oak. It features a large pond with a fountain, walking trails, a playground, and a pavilion. The park is perfect for a leisurely stroll, a picnic lunch, or a game of fetch with your four-legged friend.

A One of a Kind Petting Zoo is a petting zoo in Red Oak, Texas. The zoo has a variety of animals that visitors can pet and feed. The zoo also has a playground and a picnic area.

Cherry Creek Nature Preserve is a 300-acre nature preserve located in Red Oak, Texas. The preserve is home to a variety of plant and animal species, and features hiking trails, a fishing pond, and a picnic area.

Red Oak, Texas area median rent change by ZIP Code map

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How does Red Oak compare to other cities in Texas ?

citymedian price
Azle$1,999
Universal City$1,165
Irving$1,788
Alvin$1,790
Mabank$1,295
Cedar Creek$1,795
Forest Hill$1,700
The Woodlands$1,940
The Woodlands$1,935

Average household income in Red Oak area graph - US Census

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The median household income in Red Oak in 2021 was $78,646. This represents a 18.5% change from 2011 when the median was $66,375.

#categorypercent
0Less than $10,0003.3%
1$10,000 to $14,9991.6%
2$15,000 to $19,9991.1%
3$20,000 to $24,9992.0%
4$25,000 to $29,9993.7%
5$30,000 to $34,9995.5%
6$35,000 to $39,9993.3%
7$40,000 to $44,9994.4%
8$45,000 to $49,9992.4%
9$50,000 to $59,9994.9%
10$60,000 to $74,99913.4%
11$75,000 to $99,99919.0%
12$100,000 to $124,99911.5%
13$125,000 to $149,9998.6%
14$150,000 to $199,9999.9%
15$200,000 or more5.3%

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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