Rental market snapshot for Harvey, Louisiana

Harvey, Louisiana Rental Property Market Overview

The average rent for an apartment in Harvey is $1,204. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -2.1% over the past year.

Harvey is a city located in the U.S. state of Louisiana, within the New Orleans metropolitan area. As of the 2010 census, the city had a population of 20,348. Harvey is located on the west bank of the Mississippi River, south of downtown New Orleans.

Last Updated December 23, 2022

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Average monthly rent graph in Harvey Louisiana | Cost of Living

  • The most expensive ZIP Code in Harvey is 70058 with an average price of $1,110
  • The cheapest ZIP Code in Harvey is 70058 with an average price of $1,085

Harvey ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
170058$1,110

Live near Harvey, Louisiana's Top Sights and Attractions

Woodland West Park is a large park with a playground, a basketball court, and a walking trail. The park also has a pond with a fountain in the center.

The Harvey Tunnel is a dark, dank, and dangerous attraction located in Harvey, Louisiana. The tunnel is said to be haunted by the ghosts of those who have died inside of it, and it is said that if you go into the tunnel, you will never come back out.

Harvey, Louisiana area median rent change by ZIP Code map

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How does Harvey compare to other cities in Louisiana ?

citymedian price
Covington$1,695
Lafayette$1,255
Shreveport$830
Hammond$1,250
Monroe$700
Baton Rouge$1,228
Harvey$1,145
Westlake$1,135
Monroe$595

Average household income in Harvey area graph - US Census

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The median household income in Harvey in 2021 was $45,048. This represents a 5.0% change from 2011 when the median was $42,920.

#categorypercent
0Less than $10,0007.6%
1$10,000 to $14,9996.2%
2$15,000 to $19,9995.7%
3$20,000 to $24,9998.5%
4$25,000 to $29,9994.0%
5$30,000 to $34,9996.4%
6$35,000 to $39,9996.1%
7$40,000 to $44,9995.6%
8$45,000 to $49,9993.4%
9$50,000 to $59,9997.9%
10$60,000 to $74,99911.1%
11$75,000 to $99,99910.2%
12$100,000 to $124,9999.2%
13$125,000 to $149,9994.3%
14$150,000 to $199,9992.4%
15$200,000 or more1.6%

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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