Rental market snapshot for Seagoville, Texas

Seagoville, Texas Rental Property Market Overview

The average rent for an apartment in Seagoville is $1,966. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -1.2% over the past year.

Seagoville is a city in Dallas County, Texas, United States. The population was 14,835 at the 2010 census. Seagoville was founded in 1873 by E. H. Daniells. The city takes its name from nearby Seagoville Island in the Trinity River.

Last Updated December 23, 2022

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Average monthly rent graph in Seagoville Texas | Cost of Living

  • The most expensive ZIP Code in Seagoville is 75159 with an average price of $2,110
  • The cheapest ZIP Code in Seagoville is 75159 with an average price of $2,000

Seagoville ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
175159$2,110

Live near Seagoville, Texas's Top Sights and Attractions

Central Park is a large public park that features a playground, a pond, and a walking trail. The park is located in the center of Seagoville, and is a popular spot for locals and visitors alike.

Heard Park is a beautiful park located in Seagoville, Texas. The park features a variety of amenities including a playground, picnic tables, a walking trail, and a pond.

Beardon Park is a beautiful park located in Seagoville, Texas. The park has a playground, a pavilion, and a walking trail.

Simonds Lake is a small lake located in Seagoville, Texas. The lake is surrounded by trees and has a small walking path around it.

Seagoville, Texas area median rent change by ZIP Code map

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How does Seagoville compare to other cities in Texas ?

citymedian price
Azle$1,950
Denison$1,600
Willow Park$2,400
Grand Prairie$2,090
Bacliff$1,900
Taylor$1,100
Humble$1,770
Willis$1,725
Murphy$2,450
Forest Hill$1,775

Average household income in Seagoville area graph - US Census

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The median household income in Seagoville in 2021 was $62,038. This represents a 45.5% change from 2011 when the median was $42,652.

#categorypercent
0Less than $10,0007.2%
1$10,000 to $14,9993.2%
2$15,000 to $19,9992.9%
3$20,000 to $24,9991.2%
4$25,000 to $29,9993.5%
5$30,000 to $34,9997.1%
6$35,000 to $39,9993.9%
7$40,000 to $44,9994.6%
8$45,000 to $49,9995.4%
9$50,000 to $59,9998.8%
10$60,000 to $74,99911.2%
11$75,000 to $99,99917.4%
12$100,000 to $124,99912.1%
13$125,000 to $149,9995.4%
14$150,000 to $199,9992.7%
15$200,000 or more3.3%

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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