Rental market snapshot for Tea, South Dakota

Tea, South Dakota Rental Property Market Overview

Tea, South Dakota is a small city located in Lincoln County, with a population of 6,256 as of 2021, according to the US Census. It is a rural community with a small-town feel, and is home to a variety of businesses, parks, and recreational activities. Tea is a great place to live and work, with a friendly and welcoming atmosphere.

The average rent for an apartment in Tea is $1,249. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 10.2% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Tea South Dakota | Cost of Living

  • The most expensive ZIP Code in Tea is 57064 with an average price of $586
  • The cheapest ZIP Code in Tea is 57064 with an average price of $586

Tea ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
157064$586

Live near Tea, South Dakota's Top Sights and Attractions

Tea City Park is a picturesque outdoor destination located in a small town. It features a large lake surrounded by lush green grass, tall trees, and colorful flowers. There are walking trails, a playground, and picnic areas for visitors to enjoy. The park also offers a variety of activities, such as fishing, boating, and bird watching. Visitors can also take part in special events, such as concerts and festivals, held throughout the year.

Prairie Trails Park is a sprawling outdoor recreation area located in a rural area of South Dakota. It features a variety of activities for visitors of all ages, including a large playground, walking trails, picnic areas, and a fishing pond. The park also has a disc golf course, a basketball court, and a sand volleyball court. The park is surrounded by lush prairie grasses and wildflowers, and is a great place to enjoy a peaceful day outdoors.

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Tea, South Dakota area median rent change by ZIP Code map

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How does Tea compare to other cities in South Dakota ?

citymedian price
Brookings$1,180
Sioux Falls$1,000
Brookings$900
Harrisburg$1,195
Brookings$820
Brandon$741
Rapid City$1,035
Tea$684

Average household income in Tea area graph - US Census

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The median household income in Tea in 2021 was $89,452. This represents a 19.1% change from 2011 when the median was $75,136.

#categorypercent
0Less than $10,0001.3%
1$10,000 to $14,9992.3%
2$15,000 to $19,9992.8%
3$20,000 to $24,9992.8%
4$25,000 to $29,9990.1%
5$30,000 to $34,9992.8%
6$35,000 to $39,9991.1%
7$40,000 to $44,9991.0%
8$45,000 to $49,9992.6%
9$50,000 to $59,9995.0%
10$60,000 to $74,99914.9%
11$75,000 to $99,99921.6%
12$100,000 to $124,99913.5%
13$125,000 to $149,99915.0%
14$150,000 to $199,9999.5%
15$200,000 or more3.8%

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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