Rental market snapshot for Edgewater, New Jersey

Edgewater, New Jersey Rental Property Market Overview

The average rent for an apartment in Edgewater is $3,111. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -2.5% over the past year.

Edgewater is a borough located along the Hudson River in Bergen County, New Jersey, United States. As of the 2010 United States Census, the borough's population was 11,513, reflecting an increase of 3,836 (+50.4%) from the 7,677 counted in the 2000 Census, which had in turn increased by 2,676 (+53.3%) from the 5,001 counted in the 1990 Census.

Last Updated December 23, 2022

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

  • The most expensive ZIP Code in Edgewater is 07020 with an average price of $3,955
  • The cheapest ZIP Code in Edgewater is 07020 with an average price of $2,939

Edgewater ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
107020$3,955

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

The Promenade is a boardwalk that runs along the Hudson River. It has views of the New York City skyline and is a popular spot for walking, running, and biking.

Viaduct Park is a public park located in Edgewater, New Jersey. The park is situated on a viaduct that was once part of the Erie Railroad. The viaduct was built in 1838 and is one of the oldest railroad viaducts in the United States. The park offers panoramic views of the Hudson River and the New York City skyline.

Edgewater Marina Park is a beautiful park located on the Hudson River. The park has a playground, picnic tables, and a fishing pier. There is also a marina where you can rent boats.

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

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How does Edgewater compare to other cities in New Jersey ?

citymedian price
West New York$3,658
Belle Mead$2,525
Hawthorne$2,500
Phillipsburg$1,495
South Amboy$1,870

Average household income in Edgewater area graph - US Census

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The median household income in Edgewater in 2021 was $130,267. This represents a 42.3% change from 2011 when the median was $91,554.

#categorypercent
0Less than $10,0004.8%
1$10,000 to $14,9991.6%
2$15,000 to $19,9991.5%
3$20,000 to $24,9993.1%
4$25,000 to $29,9994.4%
5$30,000 to $34,9990.9%
6$35,000 to $39,9992.2%
7$40,000 to $44,9992.2%
8$45,000 to $49,9990.9%
9$50,000 to $59,9994.4%
10$60,000 to $74,9994.1%
11$75,000 to $99,9999.7%
12$100,000 to $124,9998.2%
13$125,000 to $149,9998.6%
14$150,000 to $199,99916.0%
15$200,000 or more27.2%

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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