Rental market snapshot for Pelham, Alabama

Pelham, Alabama Rental Property Market Overview

The average rent for an apartment in Pelham is $1,647. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.28% over the past year.

Pelham is a city in Shelby County, Alabama, United States. As of the 2010 census, the population of the city is 21,352. It is a suburb of Birmingham.

Last Updated December 23, 2022

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Average monthly rent graph in Pelham Alabama | Cost of Living

  • The most expensive ZIP Code in Pelham is 35124 with an average price of $1,645
  • The cheapest ZIP Code in Pelham is 35124 with an average price of $1,625

Pelham ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
135124$1,645

Live near Pelham, Alabama's Top Sights and Attractions

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

Fun Go Holler Park Concession Stand is a great place to get your food and drink fix while enjoying a day at the park. The stand offers a variety of concession items, including hot dogs, hamburgers, chips, candy, and sodas.

The Arc of Shelby County is a non-profit organization that provides advocacy and support for people with intellectual and developmental disabilities and their families.

Coker Park is a beautiful park located in Pelham, Alabama. The park features a playground, a pavilion, and a walking trail. The park is also home to a variety of birds and other wildlife.

Pelham, Alabama area median rent change by ZIP Code map

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How does Pelham compare to other cities in Alabama ?

citymedian price
Athens$1,575
Harvest$1,600
Bessemer$1,500
Prattville$1,440
Gulf Shores$1,449
Tuscaloosa County$1,400
Cottondale$1,390
Phenix City$980

Average household income in Pelham area graph - US Census

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The median household income in Pelham in 2021 was $79,268. This represents a 14.6% change from 2011 when the median was $69,167.

#categorypercent
0Less than $10,0004.4%
1$10,000 to $14,9992.1%
2$15,000 to $19,9992.0%
3$20,000 to $24,9993.8%
4$25,000 to $29,9992.5%
5$30,000 to $34,9993.2%
6$35,000 to $39,9992.2%
7$40,000 to $44,9994.6%
8$45,000 to $49,9993.4%
9$50,000 to $59,9997.0%
10$60,000 to $74,99911.3%
11$75,000 to $99,99916.7%
12$100,000 to $124,99912.2%
13$125,000 to $149,9997.6%
14$150,000 to $199,9999.7%
15$200,000 or more7.2%

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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