Rental market snapshot for Richland, Mississippi

Richland, Mississippi Rental Property Market Overview

Richland, Mississippi is a small city located in Rankin County. According to the US Census, Richland has a population of 7,180 as of 2021. The city is known for its historic downtown area, which features a variety of shops, restaurants, and other attractions. Richland is also home to several parks and recreational areas, making it a great place to live and visit.

The average rent for an apartment in Richland is $1,401. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 3.0% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Richland Mississippi | Cost of Living

  • The most expensive ZIP Code in Richland is 39218 with an average price of $1,460
  • The cheapest ZIP Code in Richland is 39218 with an average price of $1,125

Richland ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
139218$1,460

Live near Richland, Mississippi's Top Sights and Attractions

Richland Eastside Park is a scenic outdoor area located in the heart of Richland. It features a large lake, walking trails, picnic areas, and a playground. The park also has a variety of wildlife, including ducks, geese, and other birds. Visitors can enjoy fishing, boating, and other recreational activities. The park is a great place to relax and take in the natural beauty of the area.

Richland Westdie Park is a large outdoor recreation area located in a rural setting. The park features a variety of activities, including a large lake with a beach, a playground, a picnic area, and a walking trail. There are also several sports fields, including baseball, softball, and soccer fields, as well as a disc golf course. The park also offers a variety of other amenities, such as a concession stand, restrooms, and a pavilion.

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Richland, Mississippi area median rent change by ZIP Code map

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How does Richland compare to other cities in Mississippi ?

citymedian price
Hattiesburg$1,056
Horn Lake$1,725
Clinton$1,470
Madison$1,675
Madison$1,666
Ridgeland$1,575
Richland$1,325
Flowood$1,612

Average household income in Richland area graph - US Census

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The median household income in Richland in 2021 was $47,061. This represents a 7.0% change from 2011 when the median was $43,986.

#categorypercent
0Less than $10,00012.8%
1$10,000 to $14,9992.6%
2$15,000 to $19,9995.4%
3$20,000 to $24,9991.3%
4$25,000 to $29,9993.2%
5$30,000 to $34,9995.7%
6$35,000 to $39,9993.9%
7$40,000 to $44,99910.4%
8$45,000 to $49,9997.0%
9$50,000 to $59,99910.9%
10$60,000 to $74,99910.1%
11$75,000 to $99,99912.9%
12$100,000 to $124,9994.9%
13$125,000 to $149,9993.3%
14$150,000 to $199,9993.9%
15$200,000 or more1.8%

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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