Rental market snapshot for Irmo, South Carolina

Irmo, South Carolina Rental Property Market Overview

Irmo, South Carolina is a small town located in Lexington County with a population of 11,758 according to the US Census in 2021. It is a suburb of Columbia, the state capital, and is located just off of I-26. It is a quiet, family-oriented community with plenty of parks, recreation centers, and shopping centers. Irmo is also home to several schools, churches, and other businesses. The town is known for its friendly atmosphere and is a great place to live and raise a family.

The average rent for an apartment in Irmo is $1,355. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.61% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Irmo South Carolina | Cost of Living

  • The most expensive ZIP Code in Irmo is 29063 with an average price of $1,515
  • The cheapest ZIP Code in Irmo is 29063 with an average price of $1,380

Irmo ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
129063$1,515

Live near Irmo, South Carolina's Top Sights and Attractions

Irmo Town Park is a beautiful outdoor recreation area located in a quiet, residential neighborhood. It features a large lake, walking trails, picnic areas, playgrounds, and a variety of sports fields. The park also has a large pavilion, perfect for hosting events and gatherings. Visitors can enjoy fishing, boating, and swimming in the lake, as well as bird watching and nature photography. The park is a great place to relax and enjoy the outdoors with family and friends.

Irmo Community Park is a sprawling outdoor recreation area located in a picturesque setting. It features a large lake, a playground, a walking trail, picnic shelters, and a variety of sports fields. The lake is stocked with fish, and visitors can rent canoes and kayaks to explore the lake. The playground is equipped with swings, slides, and other play equipment. The walking trail winds through the park, and is perfect for a leisurely stroll or a more vigorous jog. Picnic shelters provide a great spot for a family gathering or a lunch break. The sports fields are available for a variety of sports, including soccer, baseball, and softball.

Friarsgate Park is a beautiful outdoor space located in the heart of a small town. It features a large lake, walking trails, a playground, and plenty of picnic areas. There are also several sports fields, including baseball, softball, and soccer, as well as a disc golf course. The park is a great place to spend a day outdoors, with plenty of activities to keep everyone entertained.

Irmo Veterans Park is a beautiful outdoor attraction located in a small town in South Carolina. It features a large lake, walking trails, and a memorial garden dedicated to veterans. The park also has a playground, picnic areas, and a gazebo for visitors to enjoy. There are also several monuments and sculptures throughout the park, honoring the brave men and women who have served in the military. The park is a great place to relax and enjoy the outdoors, and is a popular spot for locals and visitors alike.

Holiday Lights On the River is a magical holiday event that takes place each year in a beautiful riverside park. Visitors can take a stroll along the illuminated pathways and admire the thousands of twinkling lights that adorn the trees and buildings. The park also features a variety of festive activities, including live music, caroling, and hot cocoa. The event culminates with a spectacular fireworks show that lights up the night sky.

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Irmo, South Carolina area median rent change by ZIP Code map

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How does Irmo compare to other cities in South Carolina ?

citymedian price
Florence$1,275
Ladson$1,750
Hopkins$1,325
Piedmont$1,450
Moncks Corner$2,150
Little River$2,300
Mauldin$1,775
Mauldin$1,725
Moore$1,820
Beaufort$1,675

Average household income in Irmo area graph - US Census

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The median household income in Irmo in 2021 was $75,344. This represents a 32.8% change from 2011 when the median was $56,742.

#categorypercent
0Less than $10,0003.3%
1$10,000 to $14,9991.3%
2$15,000 to $19,9993.7%
3$20,000 to $24,9991.7%
4$25,000 to $29,9995.0%
5$30,000 to $34,9993.9%
6$35,000 to $39,9994.8%
7$40,000 to $44,9993.7%
8$45,000 to $49,9993.2%
9$50,000 to $59,9998.5%
10$60,000 to $74,99910.5%
11$75,000 to $99,99918.2%
12$100,000 to $124,9998.4%
13$125,000 to $149,9997.7%
14$150,000 to $199,99911.0%
15$200,000 or more5.0%

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.

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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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