Rental market snapshot for Hopkins, South Carolina

Hopkins, South Carolina Rental Property Market Overview

The average rent for an apartment in Hopkins is $1,177. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 0.15% over the past year.

Hopkins is a town in Richland County, South Carolina, United States. The population was 1,012 at the 2010 census. It is part of the Columbia, South Carolina metropolitan area.

Last Updated December 23, 2022

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

  • The most expensive ZIP Code in Hopkins is 29061 with an average price of $1,325
  • The cheapest ZIP Code in Hopkins is 29061 with an average price of $1,115

Hopkins ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
129061$1,325

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

Richland County Recreation Commission Hopkins Park is a large park with a playground, a basketball court, a baseball field, and a pond. There is also a walking trail and a picnic area.

Caughman Road Tennis Center is a public tennis facility that offers a variety of programs and services for all ages and abilities. The center has eight lighted tennis courts, a pro shop, and a clubhouse with a snack bar. The center also offers private and group lessons, leagues, and tournaments.

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

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How does Hopkins compare to other cities in South Carolina ?

citymedian price
Piedmont$1,800
Conway$1,700
Blythewood$2,200
Summerville$1,945
North Augusta$1,250
Inman$1,725
Florence$950
Gaston$1,430

Average household income in Hopkins area graph - US Census

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The median household income in Hopkins in 2021 was $42,708. This represents a -7.7% change from 2011 when the median was $46,250.

#categorypercent
0Less than $10,0001.3%
1$10,000 to $14,99928.2%
2$15,000 to $19,9994.9%
3$20,000 to $24,9991.4%
4$25,000 to $29,9991.4%
5$30,000 to $34,9996.7%
6$35,000 to $39,9991.6%
7$40,000 to $44,9996.2%
8$45,000 to $49,9991.5%
9$50,000 to $59,9998.7%
10$60,000 to $74,99912.8%
11$75,000 to $99,99919.6%
12$100,000 to $124,9993.1%
13$125,000 to $149,9991.4%
14$150,000 to $199,9990.0%
15$200,000 or more1.1%

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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