Rental market snapshot for Ridgecrest, California

Ridgecrest, California Rental Property Market Overview

The average rent for an apartment in Ridgecrest is $1,238. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -2.3% over the past year.

Ridgecrest is a city in Kern County, California, United States. The population was 27,616 at the 2010 census, up from 24,927 at the 2000 census. Ridgecrest is located along U.S. Route 395 in the Indian Wells Valley in northeastern Kern County, adjacent to the Naval Air Weapons Station China Lake (NAWS, or China Lake).

Last Updated December 23, 2022

Get updates straight to your inbox

Whenever this data is updated, you'll be the first to know. Don't miss out on crucial market insights.

Sign up

Average monthly rent graph in Ridgecrest California | Cost of Living

  • The most expensive ZIP Code in Ridgecrest is 93555 with an average price of $1,000
  • The cheapest ZIP Code in Ridgecrest is 93555 with an average price of $646

Ridgecrest ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
193555$1,000

Live near Ridgecrest, California's Top Sights and Attractions

Freedom Park is a beautiful park located in the heart of Ridgecrest. The park features a variety of amenities including a playground, picnic tables, a walking trail, and a gazebo. The park is also home to a variety of events throughout the year, including the Freedom Festival, which is held each Fourth of July.

The Blm is a popular tourist destination in Ridgecrest, California. The attraction is known for its beautiful scenery and its variety of activities. Visitors can enjoy hiking, biking, and picnicking in the area.

Kern County Dog Park is a large, fenced-in area where dogs can run and play off-leash. The park has a separate small dog area, a double-gated entry system, a water fountain for dogs, and a picnic area for humans.

Kern County Regional Park is a large park with many different amenities. There are picnic areas, playgrounds, a basketball court, a baseball field, and a walking trail. The park also has a large pond where you can fish.

Helmers Park is a beautiful park located in the heart of Ridgecrest. The park features a large pond, a walking trail, and a playground. The pond is home to ducks and geese, and the walking trail is perfect for a leisurely stroll or a vigorous hike. The playground is a great place for kids to burn off some energy, and the park also has a picnic area where you can enjoy a meal with family and friends.

The China Lake Museum Foundation is a museum dedicated to the history of the China Lake area. The museum is located in Ridgecrest, California.

Upjohn Park is a public park located in the city of Ridgecrest, California. The park covers an area of approximately 10 acres and features a variety of amenities, including a playground, picnic tables, a walking trail, and a basketball court.

Stauffer Park is a beautiful park located in the heart of Ridgecrest. The park features a large pond, a playground, and a picnic area. The park is a great place to relax and enjoy the outdoors.

Ridgecrest, California area median rent change by ZIP Code map

Get updates straight to your inbox

Whenever this data is updated, you'll be the first to know. Don't miss out on crucial market insights.

Sign up

How does Ridgecrest compare to other cities in California ?

citymedian price
Fountain Valley$3,055
Rocklin$2,730
Placentia$3,000
Pinole$2,575
Canoga Park$2,670
American Canyon$2,749
Lynwood$2,100
Twentynine Palms$1,000

Average household income in Ridgecrest area graph - US Census

Get updates straight to your inbox

Whenever this data is updated, you'll be the first to know. Don't miss out on crucial market insights.

Sign up

The median household income in Ridgecrest in 2021 was $71,774. This represents a 20.0% change from 2011 when the median was $59,830.

#categorypercent
0Less than $10,0006.4%
1$10,000 to $14,9994.0%
2$15,000 to $19,9994.4%
3$20,000 to $24,9993.3%
4$25,000 to $29,9993.2%
5$30,000 to $34,9992.2%
6$35,000 to $39,9994.3%
7$40,000 to $44,9993.4%
8$45,000 to $49,9995.7%
9$50,000 to $59,9996.1%
10$60,000 to $74,9998.7%
11$75,000 to $99,99916.2%
12$100,000 to $124,99911.2%
13$125,000 to $149,9995.1%
14$150,000 to $199,99911.3%
15$200,000 or more4.3%

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.
Made withDataherald