Rental market snapshot for Clementon, New Jersey

Clementon, New Jersey Rental Property Market Overview

The average rent for an apartment in Clementon is $1,647. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -4.2% over the past year.

Clementon is a borough in Camden County, New Jersey, United States. As of the 2010 United States Census, the borough's population was 4,144, reflecting an increase of 84 (+2.1%) from the 4,060 counted in the 2000 Census, which had in turn declined by 41 (-1.0%) from the 4,101 counted in the 1990 Census. Clementon was incorporated as a borough on March 5, 1924, from portions of Clementon Township, based on the results of a referendum held on April 8, 1924. The borough was named for Thomas Clement, an early settler.

Last Updated December 23, 2022

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

  • The most expensive ZIP Code in Clementon is 08021 with an average price of $1,837
  • The cheapest ZIP Code in Clementon is 08021 with an average price of $1,625

Clementon ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
108021$1,837

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

Silver Lake is a man-made lake located in Clementon, New Jersey. The lake is surrounded by a boardwalk, which is a popular spot for walking, running, and biking. There is also a playground and a picnic area.

Rowans Pond is a beautiful body of water located in Clementon, New Jersey. Visitors can enjoy fishing, swimming, and picnicking in the park. There is also a playground and a pavilion for guests to use.

Pillings Lake is a man-made lake located in Clementon, New Jersey. The lake is surrounded by a walking path, and is a popular spot for fishing and picnicking.

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

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How does Clementon compare to other cities in New Jersey ?

citymedian price
Cliffside Park$3,750
Woodbridge Township$2,335
Princeton$2,781
Franklin Township$2,195
West Windsor Township$3,395
Hamburg$1,700

Average household income in Clementon area graph - US Census

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The median household income in Clementon in 2021 was $46,563. This represents a 10.2% change from 2011 when the median was $42,256.

#categorypercent
0Less than $10,0007.3%
1$10,000 to $14,99914.8%
2$15,000 to $19,9995.5%
3$20,000 to $24,9995.4%
4$25,000 to $29,9993.8%
5$30,000 to $34,9996.2%
6$35,000 to $39,9996.9%
7$40,000 to $44,9990.0%
8$45,000 to $49,9990.2%
9$50,000 to $59,99914.8%
10$60,000 to $74,9998.3%
11$75,000 to $99,9999.1%
12$100,000 to $124,99910.6%
13$125,000 to $149,9990.9%
14$150,000 to $199,9993.9%
15$200,000 or more2.3%

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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