Rental market snapshot for Corinth, New York

Corinth, New York Rental Property Market Overview

The average rent for an apartment in Corinth is $1,512. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 1.8% over the past year.

Corinth is a town in Saratoga County, New York, United States. The population was 3,245 at the 2010 census. The town is named after the ancient Greek city of Corinth. The Town of Corinth contains a village also named Corinth. The town is in the eastern part of the county.

Last Updated December 23, 2022

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Average monthly rent graph in Corinth New York | Cost of Living

  • The most expensive ZIP Code in Corinth is 12822 with an average price of $1,350
  • The cheapest ZIP Code in Corinth is 12822 with an average price of $1,350

Corinth ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
112822$1,350

Live near Corinth, New York's Top Sights and Attractions

Pagenstecher Park is a small park located in the center of Corinth, New York. The park features a playground, a gazebo, and a small pond.

The Corinth Museum is a small museum located in the town of Corinth, New York. The museum is housed in a former church, and features exhibits on the history of the town and the surrounding area. The museum also has a small gift shop.

Curtis Park is a beautiful park located in Corinth, New York. The park features a variety of amenities including a playground, picnic tables, a pavilion, and a walking trail. The park is also home to a variety of events throughout the year, including the Corinthian Summer Concert Series and the Corinthian Fall Festival.

Corinth, New York area median rent change by ZIP Code map

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How does Corinth compare to other cities in New York ?

citymedian price
Scarsdale$5,900
Watervliet$1,230
Corning$1,195
Buffalo$1,275
Highland$1,745
Jamaica$2,200
Tonawanda$1,050

Average household income in Corinth area graph - US Census

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The median household income in Corinth in 2021 was $54,604. This represents a 8.2% change from 2011 when the median was $50,446.

#categorypercent
0Less than $10,0003.5%
1$10,000 to $14,9998.8%
2$15,000 to $19,9994.5%
3$20,000 to $24,9992.3%
4$25,000 to $29,9994.1%
5$30,000 to $34,9995.2%
6$35,000 to $39,9994.9%
7$40,000 to $44,9998.2%
8$45,000 to $49,9995.0%
9$50,000 to $59,9997.9%
10$60,000 to $74,99915.7%
11$75,000 to $99,99912.3%
12$100,000 to $124,99910.2%
13$125,000 to $149,9992.1%
14$150,000 to $199,9993.0%
15$200,000 or more2.2%

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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