Rental market snapshot for Homestead, Pennsylvania

Homestead, Pennsylvania Rental Property Market Overview

Homestead, Pennsylvania is a small borough located in Allegheny County. As of 2021, the population of Homestead is 2,877 according to the US Census. The borough is home to a variety of businesses, including a historic shopping district, and is known for its vibrant culture and community. Homestead is also home to a number of parks and recreational areas, making it a great place to live and visit.

The average rent for an apartment in Homestead is $1,358. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -8.2% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Homestead Pennsylvania | Cost of Living

  • The most expensive ZIP Code in Homestead is 15120 with an average price of $1,495
  • The cheapest ZIP Code in Homestead is 15120 with an average price of $1,450

Homestead ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
115120$1,495

Live near Homestead, Pennsylvania's Top Sights and Attractions

Frick Park is a large urban park located in Homestead, Pennsylvania. It features a variety of outdoor activities, including hiking, biking, and bird watching. The park also has a playground, picnic areas, and a lake. There are several trails that wind through the park, and visitors can explore the wooded areas and meadows. The park also has a variety of wildlife, including deer, foxes, and other small animals.

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Homestead, Pennsylvania area median rent change by ZIP Code map

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How does Homestead compare to other cities in Pennsylvania ?

citymedian price
Sewickley$2,499
South Park$1,225
South Park$1,140
Willow Grove$2,175
Turtle Creek$795
Moon Township$1,365
Irwin$1,750
Bryn Mawr$1,895

Average household income in Homestead area graph - US Census

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The median household income in Homestead in 2021 was $26,563. This represents a -22.9% change from 2011 when the median was $34,464.

#categorypercent
0Less than $10,00017.3%
1$10,000 to $14,9998.7%
2$15,000 to $19,9998.8%
3$20,000 to $24,99912.5%
4$25,000 to $29,9997.5%
5$30,000 to $34,99910.8%
6$35,000 to $39,9990.7%
7$40,000 to $44,9991.3%
8$45,000 to $49,9995.4%
9$50,000 to $59,9996.9%
10$60,000 to $74,9994.3%
11$75,000 to $99,9992.7%
12$100,000 to $124,9995.1%
13$125,000 to $149,9991.0%
14$150,000 to $199,9995.4%
15$200,000 or more1.6%

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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