Rental market snapshot for Chatham, New Jersey

Chatham, New Jersey Rental Property Market Overview

The average rent for an apartment in Chatham is $2,474. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -7.2% over the past year.

Chatham is a borough in Morris County, New Jersey, United States. As of the 2010 United States Census, the borough's population was 8,963, reflecting an increase of 778 (+9.5%) from the 8,185 counted in the 2000 Census, which had in turn increased by 1,087 (+15.3%) from the 7,098 counted in the 1990 Census.

Last Updated December 23, 2022

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Average monthly rent graph in Chatham New Jersey | Cost of Living

  • The most expensive ZIP Code in Chatham is 07928 with an average price of $2,895
  • The cheapest ZIP Code in Chatham is 07928 with an average price of $2,403

Chatham ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
107928$2,895

Live near Chatham, New Jersey's Top Sights and Attractions

Garden Park is a beautiful park located in Chatham, New Jersey. The park is home to a variety of flowers, trees, and plants, as well as a pond and a fountain. Garden Park is a popular spot for picnics, walks, and relaxation.

Memorial Park is a beautiful park located in the heart of Chatham, New Jersey. The park features a variety of amenities including a playground, picnic area, walking trails, and a pond. The park is also home to a monument dedicated to the soldiers of Chatham who lost their lives in World War I.

Shepard Kollock Park is a beautiful park located right on the water. There are plenty of benches to sit and enjoy the view, as well as a few walking paths. The park is also home to a playground, making it a great place to bring the kids.

Great Swamp Outdoor Education Center is a nature preserve with hiking trails, a visitor center, and an environmental education program. The preserve is located in the Great Swamp National Wildlife Refuge.

Chatham, New Jersey area median rent change by ZIP Code map

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How does Chatham compare to other cities in New Jersey ?

citymedian price
Haledon$2,400
Morristown$2,845
Cherry Hill$2,125
Englewood$2,450
Montclair$2,665
Sayreville$3,670
Basking Ridge$3,150
Audubon$2,620
Brick$2,295

Average household income in Chatham area graph - US Census

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The median household income in Chatham in 2021 was $201,923. This represents a 38.5% change from 2011 when the median was $145,795.

#categorypercent
0Less than $10,0000.9%
1$10,000 to $14,9990.2%
2$15,000 to $19,9990.8%
3$20,000 to $24,9991.7%
4$25,000 to $29,9990.7%
5$30,000 to $34,9991.1%
6$35,000 to $39,9992.8%
7$40,000 to $44,9991.0%
8$45,000 to $49,9991.9%
9$50,000 to $59,9992.1%
10$60,000 to $74,9993.6%
11$75,000 to $99,9996.3%
12$100,000 to $124,9995.8%
13$125,000 to $149,9996.2%
14$150,000 to $199,99913.9%
15$200,000 or more51.1%

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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