Rental market snapshot for Atascocita, Texas

Atascocita, Texas Rental Property Market Overview

The average rent for an apartment in Atascocita is $1,635. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -19.7% over the past year.

Atascocita is a census-designated place (CDP) in Harris County, Texas, United States. The population was 37,094 at the 2010 census. It is part of the Humble Independent School District and includes the Atascocita High School.

Last Updated December 23, 2022

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Average monthly rent graph in Atascocita Texas | Cost of Living

  • The most expensive ZIP Code in Atascocita is 77346 with an average price of $1,820
  • The cheapest ZIP Code in Atascocita is 77346 with an average price of $1,820

Atascocita ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
177346$1,820

Live near Atascocita, Texas's Top Sights and Attractions

The Kingwood Greenway is a scenic walking and biking trail that winds through the woods and along the river in Atascocita, Texas. The trail is about 4 miles long and is popular with locals and visitors alike.

East End Park is a large park with a playground, a pavilion, and a walking trail. The park also has a pond with a fountain.

Balmoral Lagoon is a man-made lagoon that is located in Atascocita, Texas. The lagoon is surrounded by a walking trail, and there are several bridges that cross over the lagoon. The lagoon is stocked with fish, and there is a fishing pier where visitors can fish.

Lakeview Park is a beautiful park located on the shores of Lake Houston. The park features a playground, picnic areas, a walking trail, and a fishing pier.

Atascocita Park is a beautiful park located in Atascocita, Texas. The park features a variety of amenities including a playground, picnic tables, a walking trail, and a pond.

Atascocita, Texas area median rent change by ZIP Code map

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How does Atascocita compare to other cities in Texas ?

citymedian price
Pasadena$1,250
Abilene$985
Seabrook$2,135
Baytown$1,700
Heartland$1,850
Abilene$922
Pasadena$1,006
Lindale$1,495

Average household income in Atascocita area graph - US Census

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The median household income in Atascocita in 2021 was $103,676. This represents a 24.4% change from 2011 when the median was $83,314.

#categorypercent
0Less than $10,0002.4%
1$10,000 to $14,9990.8%
2$15,000 to $19,9991.6%
3$20,000 to $24,9992.1%
4$25,000 to $29,9991.6%
5$30,000 to $34,9992.4%
6$35,000 to $39,9991.4%
7$40,000 to $44,9992.0%
8$45,000 to $49,9992.8%
9$50,000 to $59,9998.4%
10$60,000 to $74,9999.2%
11$75,000 to $99,99913.6%
12$100,000 to $124,99915.8%
13$125,000 to $149,99912.7%
14$150,000 to $199,99912.2%
15$200,000 or more11.0%

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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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