Rental market snapshot for Fairfield, Alabama

Fairfield, Alabama Rental Property Market Overview

The average rent for an apartment in Fairfield is $993. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 0.01% over the past year.

Fairfield is a city in western Jefferson County, Alabama, United States. It is part of the Birmingham metropolitan area. The population was 11,487 at the 2010 census.

Last Updated December 23, 2022

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Average monthly rent graph in Fairfield Alabama | Cost of Living

  • The most expensive ZIP Code in Fairfield is 35064 with an average price of $1,050
  • The cheapest ZIP Code in Fairfield is 35064 with an average price of $950

Fairfield ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
135064$1,050

Live near Fairfield, Alabama's Top Sights and Attractions

The Fairfield City Park is a large park that features a playground, a walking trail, a pond, and a pavilion. The park is located in the city of Fairfield, Alabama.

Willie Mays Park is a beautiful park located in Fairfield, Alabama. The park features a playground, a picnic area, a walking trail, and a pond.

The Fairfield Civic Center is a large building that houses a variety of different businesses and organizations. There is a large auditorium that is used for events and performances, and there are also a number of meeting rooms and conference rooms that can be rented out for events. The Civic Center is also home to a number of businesses, including a grocery store, a bank, and a number of restaurants.

Fairfield, Alabama area median rent change by ZIP Code map

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How does Fairfield compare to other cities in Alabama ?

citymedian price
New Market$1,625
Center Point$1,275
Lake View$1,525
Mobile$975
Pinson$1,325
Leeds$1,375
Ashville$1,445
Mobile$919
Springville$1,415

Average household income in Fairfield area graph - US Census

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The median household income in Fairfield in 2021 was $41,439. This represents a 20.3% change from 2011 when the median was $34,447.

#categorypercent
0Less than $10,00011.8%
1$10,000 to $14,9998.6%
2$15,000 to $19,9994.3%
3$20,000 to $24,9996.1%
4$25,000 to $29,9996.9%
5$30,000 to $34,9994.2%
6$35,000 to $39,9993.3%
7$40,000 to $44,99910.5%
8$45,000 to $49,9993.0%
9$50,000 to $59,9998.6%
10$60,000 to $74,99913.9%
11$75,000 to $99,9998.0%
12$100,000 to $124,9993.3%
13$125,000 to $149,9996.2%
14$150,000 to $199,9990.5%
15$200,000 or more0.8%

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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