Rental market snapshot for Hayden, Alabama

Hayden, Alabama Rental Property Market Overview

Hayden, Alabama is a small town located in Blount County with a population of 1,332 as of 2021, according to the US Census. It is a rural community with a rich history, and is known for its friendly people and beautiful scenery. The town is home to a variety of businesses, including restaurants, shops, and other services. Hayden is a great place to live and visit, and offers a variety of activities and attractions for all ages.

The average rent for an apartment in Hayden is $1,442. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.39% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Hayden Alabama | Cost of Living

  • The most expensive ZIP Code in Hayden is 35079 with an average price of $1,330
  • The cheapest ZIP Code in Hayden is 35079 with an average price of $1,330

Hayden ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
135079$1,330

Live near Hayden, Alabama's Top Sights and Attractions

West Blount Park & Recreation is a family-friendly outdoor destination located in Hayden, Alabama. It features a variety of activities, including a large playground, walking trails, picnic areas, and a fishing pond. There is also a basketball court, tennis courts, and a sand volleyball court. The park also has a pavilion and a gazebo, perfect for hosting special events. The park is well-maintained and offers a peaceful atmosphere for visitors to enjoy.

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Hayden, Alabama area median rent change by ZIP Code map

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How does Hayden compare to other cities in Alabama ?

citymedian price
Birmingham$1,365
Pinson$1,340
Mccalla$1,725
Graysville$1,135
Elmore$1,595
Trussville$1,460
Warrior$1,375

Average household income in Hayden area graph - US Census

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The median household income in Hayden in 2021 was $67,386. This represents a 38.7% change from 2011 when the median was $48,601.

#categorypercent
0Less than $10,0002.3%
1$10,000 to $14,9992.5%
2$15,000 to $19,9990.2%
3$20,000 to $24,9996.8%
4$25,000 to $29,9991.6%
5$30,000 to $34,9996.6%
6$35,000 to $39,9990.6%
7$40,000 to $44,9992.3%
8$45,000 to $49,9996.0%
9$50,000 to $59,99916.2%
10$60,000 to $74,9997.8%
11$75,000 to $99,99922.2%
12$100,000 to $124,9999.7%
13$125,000 to $149,9997.8%
14$150,000 to $199,9994.1%
15$200,000 or more3.5%

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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