Rental market snapshot for Cliffside Park, New Jersey

Cliffside Park, New Jersey Rental Property Market Overview

Cliffside Park, New Jersey is a borough located in Bergen County with a population of 25,594 as of 2021, according to the US Census. It is situated on the Palisades across the Hudson River from Manhattan, and is known for its beautiful views of the New York City skyline. The borough is home to a variety of restaurants, shops, and parks, making it a great place to live and visit.

The average rent for an apartment in Cliffside Park is $2,679. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 5.1% over the past year.

Last Updated January 31, 2023

Average monthly rent graph in Cliffside Park New Jersey | Cost of Living

  • The most expensive ZIP Code in Cliffside Park is 07010 with an average price of $3,295
  • The cheapest ZIP Code in Cliffside Park is 07010 with an average price of $1,975

Cliffside Park ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
107010$3,295

Live near Cliffside Park, New Jersey's Top Sights and Attractions

Carlyle Towers Valet Service is a luxurious valet service located in a scenic area of New Jersey. Guests can enjoy the convenience of having their cars parked and retrieved for them while they explore the area. The service offers a variety of amenities, including complimentary car washes, complimentary car detailing, and a complimentary shuttle service. Guests can also take advantage of the valet's 24-hour customer service and secure parking. The valet service is a great way to make the most of a visit to the area.

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Cliffside Park, New Jersey area median rent change by ZIP Code map

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How does Cliffside Park compare to other cities in New Jersey ?

citymedian price
Parlin$2,400
Newton$2,000
East Brunswick$2,505
Secaucus$2,909
Newark$1,850
City of Orange$1,895
Metuchen$2,490
Hightstown$1,755

Average household income in Cliffside Park area graph - US Census

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The median household income in Cliffside Park in 2021 was $83,989. This represents a 22.1% change from 2011 when the median was $68,780.

#categorypercent
0Less than $10,0007.0%
1$10,000 to $14,9992.6%
2$15,000 to $19,9992.5%
3$20,000 to $24,9994.2%
4$25,000 to $29,9995.6%
5$30,000 to $34,9992.4%
6$35,000 to $39,9992.7%
7$40,000 to $44,9994.1%
8$45,000 to $49,9994.5%
9$50,000 to $59,9994.5%
10$60,000 to $74,9996.7%
11$75,000 to $99,99911.2%
12$100,000 to $124,9998.4%
13$125,000 to $149,99911.1%
14$150,000 to $199,9998.7%
15$200,000 or more13.9%

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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