Rental market snapshot for Magnolia, Texas

Magnolia, Texas Rental Property Market Overview

The average rent for an apartment in Magnolia is $1,936. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 3.4% over the past year.

Magnolia is a city in Montgomery County, Texas, United States. The population was 2,385 at the 2010 census. It is part of the Houston metropolitan area.

Last Updated December 23, 2022

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Average monthly rent graph in Magnolia Texas | Cost of Living

  • The most expensive ZIP Code in Magnolia is 77354 with an average price of $1,945
  • The cheapest ZIP Code in Magnolia is 77355 with an average price of $1,625

Magnolia ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
177354$1,945
277354$1,895
377355$1,725
477355$1,695
578758$1,645

Live near Magnolia, Texas's Top Sights and Attractions

Magnolia Youth Park is a beautiful park located in Magnolia, Texas. The park features a playground, a picnic area, a walking trail, and a pond. The park is also home to a variety of wildlife, including ducks, geese, and turtles.

The Grounds 1488 is a public park that features a playground, a walking trail, and a pond. The park is located in the city of Magnolia, Texas.

Unity Park is a beautiful park located in Magnolia, Texas. The park features a playground, a picnic area, a walking trail, and a pond.

Sullivan Park is a beautiful park located in Magnolia, Texas. The park features a playground, a picnic area, a walking trail, and a pond.

Shamrock Park Ccf 12 is a beautiful park located in Magnolia, Texas. The park features a playground, picnic tables, and a walking trail.

Magnolia, Texas area median rent change by ZIP Code map

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How does Magnolia compare to other cities in Texas ?

citymedian price
Live Oak$1,845
Hockley$1,965
Texas City$1,440
Mission$820
Roman Forest$1,750
Schertz$1,995
Crandall$1,795
Forest Hill$1,785
Montgomery $2,195

Average household income in Magnolia area graph - US Census

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The median household income in Magnolia in 2021 was $59,890. This represents a 22.3% change from 2011 when the median was $48,984.

#categorypercent
0Less than $10,0003.1%
1$10,000 to $14,9995.5%
2$15,000 to $19,9997.0%
3$20,000 to $24,9992.7%
4$25,000 to $29,9993.1%
5$30,000 to $34,9993.1%
6$35,000 to $39,99910.6%
7$40,000 to $44,9997.0%
8$45,000 to $49,9991.3%
9$50,000 to $59,9996.7%
10$60,000 to $74,9995.1%
11$75,000 to $99,99917.1%
12$100,000 to $124,9998.3%
13$125,000 to $149,99910.9%
14$150,000 to $199,9994.4%
15$200,000 or more4.0%

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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