Rental market snapshot for Crosby, Texas

Crosby, Texas Rental Property Market Overview

The average rent for an apartment in Crosby is $1,846. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 1.8% over the past year.

Crosby is a city in Harris County, Texas, United States. The population was 2,299 at the 2010 census. Crosby is located on the north side of the Harris County Toll Road, east of the Hardy Toll Road, and south of FM 2100.

Last Updated December 23, 2022

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Average monthly rent graph in Crosby Texas | Cost of Living

  • The most expensive ZIP Code in Crosby is 77532 with an average price of $1,895
  • The cheapest ZIP Code in Crosby is 77532 with an average price of $1,795

Crosby ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
177532$1,895
277532$1,880

Live near Crosby, Texas's Top Sights and Attractions

Xtreme Off Road Park And Beach is a great place to take your four-wheel drive vehicle for a spin. The park has miles of trails to explore, as well as a beach area where you can relax and enjoy the view.

Crosby Park is a beautiful park located in Crosby, Texas. The park has a playground, a picnic area, and a walking trail.

John Grimes Park is a beautiful park located in Crosby, Texas. The park has a playground, a pavilion, and a walking trail. The pavilion is available for rent, and the playground is a great place for children to play. The walking trail is a great way to get some exercise, and it is also a great place to take your dog for a walk.

Crosby, Texas area median rent change by ZIP Code map

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How does Crosby compare to other cities in Texas ?

citymedian price
Hurst$2,200
Aledo$2,945
Wichita Falls$910
Fate$2,175
Springtown$1,335
Sanger$2,050
Longview$1,005

Average household income in Crosby area graph - US Census

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The median household income in Crosby in 2021 was $34,063. This represents a -52.3% change from 2011 when the median was $71,352.

#categorypercent
0Less than $10,0005.6%
1$10,000 to $14,9992.2%
2$15,000 to $19,99921.8%
3$20,000 to $24,9998.3%
4$25,000 to $29,9994.9%
5$30,000 to $34,99910.4%
6$35,000 to $39,9991.2%
7$40,000 to $44,99910.4%
8$45,000 to $49,9991.5%
9$50,000 to $59,9995.5%
10$60,000 to $74,9991.7%
11$75,000 to $99,9997.0%
12$100,000 to $124,9997.2%
13$125,000 to $149,9999.6%
14$150,000 to $199,9992.8%
15$200,000 or more0.0%

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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