Rental market snapshot for Lake Elsinore, California

Lake Elsinore, California Rental Property Market Overview

The average rent for an apartment in Lake Elsinore is $2,455. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -3.6% over the past year.

Lake Elsinore is a city located in Riverside County, California. As of the 2010 census, the city had a population of 51,821, up from 33,297 at the 2000 census. The city is bordered by the Cleveland National Forest to the west. The city is known for its large natural lake, which is the largest freshwater lake in Southern California. The lake is home to the Lake Elsinore Storm baseball team, a minor league affiliate of the San Diego Padres.

Last Updated December 23, 2022

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Average monthly rent graph in Lake Elsinore California | Cost of Living

  • The most expensive ZIP Code in Lake Elsinore is 92532 with an average price of $2,892
  • The cheapest ZIP Code in Lake Elsinore is 92530 with an average price of $2,374

Lake Elsinore ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
192532$2,892
292530$2,495

Live near Lake Elsinore, California's Top Sights and Attractions

The Lake Elsinore Recreation Area is a beautiful spot for a day of swimming, fishing, or boating. The area includes a large lake, picnic tables, and a playground.

Creekside Park is a beautiful park located right on the water. There are plenty of benches to sit and relax on while you enjoy the view, and there are also a few picnic tables if you want to bring your own food. The park is well-maintained and the perfect place to spend a few hours on a sunny day.

Lakepoint Park is a beautiful lakeside park that offers stunning views of Lake Elsinore and the surrounding mountains. There are plenty of picnic tables and benches to relax on, as well as a playground and a few small hiking trails. The park is also a great place to catch a glimpse of some of the local wildlife, including ducks, geese, and turtles.

Tuscany Hills Park is a beautiful park located in Lake Elsinore, California. The park features stunning views of the surrounding hills and mountains, as well as a variety of amenities for visitors to enjoy. Visitors can take advantage of the park's picnic areas, playgrounds, hiking trails, and more.

Canyon Hills Community Park is a beautiful park located in the canyon hills of Lake Elsinore. The park features a variety of amenities including a playground, picnic areas, a basketball court, and a walking trail. The park also offers stunning views of the canyon and the lake.

McVicker Park is a beautiful park located right on the water. There are plenty of trees and grassy areas to relax in, and the views of the lake are stunning. There are also a few playgrounds and a picnic area, making it the perfect spot to spend a day with family or friends.

Rosetta Canyon Dog Park is a beautiful park located in Lake Elsinore, California. The park offers stunning views of the surrounding mountains and valleys, and is a great place to take your dog for a walk or run. There is also a large grassy area where dogs can play and run off-leash.

The Swick And Matich Park is a beautiful park located in Lake Elsinore, California. The park features a variety of amenities including a playground, picnic tables, and a walking trail. The Swick And Matich Park is a great place to visit for a day of fun and relaxation.

Lake Elsinore, California area median rent change by ZIP Code map

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How does Lake Elsinore compare to other cities in California ?

citymedian price
Mountain View$4,100
Van Nuys$3,115
Camarillo$2,855
Arcadia$3,200
Murrieta$2,775
Imperial Beach$2,670
Newbury Park$3,327
Suisun City$2,691
Hercules$2,900

Average household income in Lake Elsinore area graph - US Census

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The median household income in Lake Elsinore in 2021 was $74,490. This represents a 16.8% change from 2011 when the median was $63,771.

#categorypercent
0Less than $10,0003.8%
1$10,000 to $14,9992.0%
2$15,000 to $19,9994.0%
3$20,000 to $24,9993.4%
4$25,000 to $29,9992.8%
5$30,000 to $34,9995.6%
6$35,000 to $39,9993.7%
7$40,000 to $44,9993.0%
8$45,000 to $49,9993.0%
9$50,000 to $59,9998.8%
10$60,000 to $74,99910.1%
11$75,000 to $99,99913.7%
12$100,000 to $124,99912.1%
13$125,000 to $149,9996.2%
14$150,000 to $199,99911.2%
15$200,000 or more6.4%

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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