Rental market snapshot for Clute, Texas

Clute, Texas Rental Property Market Overview

The average rent for an apartment in Clute is $874. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -8.5% over the past year.

Clute is a city located in Brazoria County, Texas, within the Houston–The Woodlands–Sugar Land metropolitan area. The population was 11,211 at the 2010 census. It is part of the Brazosport Independent School District.

Last Updated December 23, 2022

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Average monthly rent graph in Clute Texas | Cost of Living

  • The most expensive ZIP Code in Clute is 77531 with an average price of $889
  • The cheapest ZIP Code in Clute is 77531 with an average price of $880

Clute ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
177531$889

Live near Clute, Texas's Top Sights and Attractions

Clute City Park is a large park with a playground, pavilions, a walking trail, and a pond.

The attraction is a large park with a playground, a pond, and a walking trail. The park also has a pavilion that can be rented for events.

The attraction is a large park with a playground, a pond, and a walking trail. The park also has a pavilion that can be rented for events.

Hardy Street Park is a large park with a playground, pavilions, a walking trail, and a pond.

The attraction is a large park with a playground, a pond, and a walking trail. The park also has a pavilion that can be rented for events.

Clute, Texas area median rent change by ZIP Code map

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How does Clute compare to other cities in Texas ?

citymedian price
Southlake$5,800
Bedford$2,075
Seagoville$2,085
Crossroads$2,105
Conroe$1,745
Elgin$1,840
Highlands$1,840
Portland$1,595

Average household income in Clute area graph - US Census

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The median household income in Clute in 2021 was $56,758. This represents a 51.3% change from 2011 when the median was $37,520.

#categorypercent
0Less than $10,0005.6%
1$10,000 to $14,9993.0%
2$15,000 to $19,9992.6%
3$20,000 to $24,9996.2%
4$25,000 to $29,9999.7%
5$30,000 to $34,9991.3%
6$35,000 to $39,9994.4%
7$40,000 to $44,9994.7%
8$45,000 to $49,9999.3%
9$50,000 to $59,9994.6%
10$60,000 to $74,99910.3%
11$75,000 to $99,9999.5%
12$100,000 to $124,9999.2%
13$125,000 to $149,9996.5%
14$150,000 to $199,9994.5%
15$200,000 or more8.6%

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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