Rental market snapshot for Madison, Mississippi

Madison, Mississippi Rental Property Market Overview

The average rent for an apartment in Madison is $1,713. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 1.6% over the past year.

Madison, Mississippi is a city located in the northern part of the state, just south of Memphis, Tennessee. The city has a population of approximately 24,000 people and is the county seat of Madison County. Madison is home to several colleges and universities, as well as a number of businesses and industries. The city is also a popular tourist destination, due to its close proximity to the Mississippi River and its many historical and cultural attractions.

Last Updated December 23, 2022

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Average monthly rent graph in Madison Mississippi | Cost of Living

  • The most expensive ZIP Code in Madison is 39110 with an average price of $1,675
  • The cheapest ZIP Code in Madison is 39110 with an average price of $1,666

Madison ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
139110$1,675
239110$1,666

Live near Madison, Mississippi's Top Sights and Attractions

Strawberry Patch Park is a small park located in the heart of Madison, Mississippi. The park features a playground, picnic tables, and a walking trail.

Liberty Park is a beautiful park located on the Yazoo River. The park has a playground, picnic tables, and a walking trail.

Reunion Park is a beautiful park located on the banks of the Mississippi River. The park features a large fountain, a walking trail, and a playground.

Madison, Mississippi area median rent change by ZIP Code map

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How does Madison compare to other cities in Mississippi ?

citymedian price
Tupelo$1,235
Flowood$1,675
Flowood$1,675
Flowood$1,675
Southaven$1,935
Olive Branch$1,885
Horn Lake$1,690
Ridgeland$1,595
Tupelo$1,125
Tupelo$750

Average household income in Madison area graph - US Census

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The median household income in Madison in 2021 was $119,855. This represents a 18.9% change from 2011 when the median was $100,804.

#categorypercent
0Less than $10,0001.7%
1$10,000 to $14,9990.7%
2$15,000 to $19,9991.6%
3$20,000 to $24,9990.9%
4$25,000 to $29,9991.8%
5$30,000 to $34,9991.5%
6$35,000 to $39,9992.7%
7$40,000 to $44,9991.7%
8$45,000 to $49,9992.2%
9$50,000 to $59,9994.7%
10$60,000 to $74,9998.5%
11$75,000 to $99,99912.1%
12$100,000 to $124,99912.7%
13$125,000 to $149,9999.8%
14$150,000 to $199,99914.4%
15$200,000 or more23.1%

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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