Rental market snapshot for Gilbert, South Carolina

Gilbert, South Carolina Rental Property Market Overview

Gilbert, South Carolina is a small town located in Lexington County with a population of 590 as of 2021, according to the US Census. It is a rural community with a variety of outdoor activities, such as fishing, hunting, and camping. The town is home to a few local businesses, including a grocery store, a hardware store, and a few restaurants. Gilbert is a great place to live for those who enjoy a slower pace of life and appreciate the beauty of nature.

The average rent for an apartment in Gilbert is $1,854. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.04% over the past year.

Last Updated January 31, 2023

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

  • The most expensive ZIP Code in Gilbert is 29054 with an average price of $1,875
  • The cheapest ZIP Code in Gilbert is 29054 with an average price of $1,875

Gilbert ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
129054$1,875

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

Uh-oh! Looks like we don't have any data on tourist attractions in Gilbert, South Carolina, looks like it is up to you to find something fun to do

Get updates straight to your inbox

Whenever this data is updated, you'll be the first to know. Don't miss out on crucial market insights.

Sign up

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

Get updates straight to your inbox

Whenever this data is updated, you'll be the first to know. Don't miss out on crucial market insights.

Sign up

How does Gilbert compare to other cities in South Carolina ?

citymedian price
North Myrtle Beach$1,924
Columbia$1,495
Charleston$1,805
Irmo$1,515
Johns Island$1,906
Irmo$1,380
Ladson$1,450
Simpsonville$1,840
York$1,700

Average household income in Gilbert area graph - US Census

Get updates straight to your inbox

Whenever this data is updated, you'll be the first to know. Don't miss out on crucial market insights.

Sign up

The median household income in Gilbert in 2021 was $65,313. This represents a 52.5% change from 2011 when the median was $42,833.

#categorypercent
0Less than $10,0003.4%
1$10,000 to $14,9990.0%
2$15,000 to $19,9994.2%
3$20,000 to $24,99913.6%
4$25,000 to $29,9992.6%
5$30,000 to $34,9997.2%
6$35,000 to $39,9997.2%
7$40,000 to $44,9990.8%
8$45,000 to $49,9995.3%
9$50,000 to $59,9994.5%
10$60,000 to $74,9998.3%
11$75,000 to $99,99913.6%
12$100,000 to $124,99911.7%
13$125,000 to $149,9992.3%
14$150,000 to $199,9999.1%
15$200,000 or more6.4%

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.
Made withDataherald