Rental market snapshot for Kennedale, Texas

Kennedale, Texas Rental Property Market Overview

The average rent for an apartment in Kennedale is $1,941. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 6.3% over the past year.

Kennedale is a city located in Tarrant County, Texas, United States. The population was 6,763 at the 2010 census. Kennedale is a bedroom community in the Dallas-Fort Worth Metroplex.

Last Updated December 23, 2022

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Average monthly rent graph in Kennedale Texas | Cost of Living

  • The most expensive ZIP Code in Kennedale is 76060 with an average price of $1,885
  • The cheapest ZIP Code in Kennedale is 76060 with an average price of $1,850

Kennedale ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
176060$1,885

Live near Kennedale, Texas's Top Sights and Attractions

Sonora Park is a beautiful park with a playground, pavilion, and walking trails. The park is perfect for a family outing or a picnic with friends.

Towncenter Plaza is a large shopping center with over 100 stores and restaurants. It is anchored by Macy's, JCPenney, and Sears. There is also a food court, movie theater, and several play areas for children.

Southwest Nature Preserve is a 668-acre nature preserve that includes hiking and biking trails, a playground, a picnic area, and a pond.

Rodgers Farm Park is a beautiful park that has a lot of activities for families and friends to enjoy. The park has a playground, a picnic area, a walking trail, and a pond.

The Sw Nature Preserve is a beautiful nature preserve with hiking trails, a lake, and a variety of wildlife.

Kennedale, Texas area median rent change by ZIP Code map

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How does Kennedale compare to other cities in Texas ?

citymedian price
Lumberton$1,395
Dallas$1,895
Waxahachie$2,200
Ennis$1,699
Sugar Land$1,930
Hutto$2,035
Pantego$1,725
Montgomery $2,195
Longview$1,200

Average household income in Kennedale area graph - US Census

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The median household income in Kennedale in 2021 was $79,928. This represents a 33.8% change from 2011 when the median was $59,726.

#categorypercent
0Less than $10,0002.5%
1$10,000 to $14,9993.5%
2$15,000 to $19,9992.9%
3$20,000 to $24,9991.6%
4$25,000 to $29,9991.7%
5$30,000 to $34,9995.7%
6$35,000 to $39,9995.0%
7$40,000 to $44,9996.0%
8$45,000 to $49,9992.2%
9$50,000 to $59,9998.5%
10$60,000 to $74,9995.4%
11$75,000 to $99,99911.1%
12$100,000 to $124,99915.1%
13$125,000 to $149,9999.5%
14$150,000 to $199,99910.9%
15$200,000 or more8.3%

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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