Rental market snapshot for Roselle, New Jersey

Roselle, New Jersey Rental Property Market Overview

The average rent for an apartment in Roselle is $1,483. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -4.3% over the past year.

Roselle is a borough located in Union County, New Jersey. As of the 2010 United States Census, the borough's population was 21,085, reflecting an increase of 2,627 (+14.1%) from the 18,458 counted in the 2000 Census, which had in turn increased by 2,012 (+12.2%) from the 16,446 counted in the 1990 Census.

Last Updated December 23, 2022

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

  • The most expensive ZIP Code in Roselle is 07203 with an average price of $1,450
  • The cheapest ZIP Code in Roselle is 07203 with an average price of $1,395

Roselle ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
107203$1,450

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

Warinanco Park is a beautiful park located in Roselle, New Jersey. The park features a variety of amenities including a playground, a basketball court, a tennis court, a picnic area, and a walking trail. The park is also home to a variety of wildlife, including ducks, geese, and squirrels.

Warinanco Park is a beautiful park located in Roselle, New Jersey. The park features a variety of amenities including a playground, a basketball court, a tennis court, a picnic area, and a walking trail. The park is also home to a variety of wildlife, including ducks, geese, and squirrels.

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

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How does Roselle compare to other cities in New Jersey ?

citymedian price
Toms River$4,145
Bloomfield$2,340
Pennsauken$2,074
Harrison$2,245
Plainsboro$2,100
Metuchen$2,595
Lopatcong$1,495
Fords$2,175
Clementon$1,625

Average household income in Roselle area graph - US Census

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The median household income in Roselle in 2021 was $65,307. This represents a 17.7% change from 2011 when the median was $55,488.

#categorypercent
0Less than $10,0004.1%
1$10,000 to $14,9994.7%
2$15,000 to $19,9992.7%
3$20,000 to $24,9993.6%
4$25,000 to $29,9995.6%
5$30,000 to $34,9992.7%
6$35,000 to $39,9995.3%
7$40,000 to $44,9995.0%
8$45,000 to $49,9994.4%
9$50,000 to $59,9998.3%
10$60,000 to $74,99912.7%
11$75,000 to $99,99911.0%
12$100,000 to $124,9999.8%
13$125,000 to $149,9995.4%
14$150,000 to $199,9998.6%
15$200,000 or more6.2%

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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