Rental market snapshot for Odenville, Alabama

Odenville, Alabama Rental Property Market Overview

The average rent for an apartment in Odenville is $1,435. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -1.2% over the past year.

Odenville is a town in St. Clair County, Alabama, United States. The population was 1,520 at the 2010 census. It is part of the Birmingham–Hoover–Cullman Combined Statistical Area.

Last Updated December 23, 2022

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Average monthly rent graph in Odenville Alabama | Cost of Living

  • The most expensive ZIP Code in Odenville is 35120 with an average price of $1,395
  • The cheapest ZIP Code in Odenville is 35120 with an average price of $1,365

Odenville ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
135120$1,395
235120$1,390

Live near Odenville, Alabama's Top Sights and Attractions

Fortson Museum & Archives is a local history museum in Odenville, Alabama. The museum features exhibits on the history of the city and the surrounding area. The museum also has a research library and archives.

The Mustang Museum Of America is a museum dedicated to the history of the Mustang automobile. The museum features a variety of exhibits on the history of the Mustang, as well as a collection of classic and modern Mustangs. The museum is located in Odenville, Alabama.

Odenville, Alabama area median rent change by ZIP Code map

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How does Odenville compare to other cities in Alabama ?

citymedian price
Enterprise$1,575
Pleasant Grove$1,525
Hueytown$1,325
Tuscaloosa$1,485
Florence$1,575
Fultondale$1,475
Hazel Green$1,380
Pelham$1,625
Cottondale$1,360

Average household income in Odenville area graph - US Census

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The median household income in Odenville in 2021 was $75,625. This represents a 60.1% change from 2011 when the median was $47,236.

#categorypercent
0Less than $10,0007.9%
1$10,000 to $14,9990.0%
2$15,000 to $19,9990.0%
3$20,000 to $24,9991.0%
4$25,000 to $29,9994.8%
5$30,000 to $34,9996.2%
6$35,000 to $39,9992.3%
7$40,000 to $44,9995.5%
8$45,000 to $49,9990.9%
9$50,000 to $59,9995.6%
10$60,000 to $74,99915.7%
11$75,000 to $99,99920.3%
12$100,000 to $124,99921.9%
13$125,000 to $149,9993.1%
14$150,000 to $199,9994.9%
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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