Rental market snapshot for Linda, California

Linda, California Rental Property Market Overview

The average rent for an apartment in Linda is $2,162. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.78% over the past year.

Linda, California is a small town located in the northern part of the state. The town is home to a population of just over 10,000 people. The town is known for its annual rodeo, which attracts visitors from all over the state. Linda is also home to a number of small businesses, including a number of restaurants and cafes.

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 Linda California | Cost of Living

  • The most expensive ZIP Code in Linda is 95901 with an average price of $2,075
  • The cheapest ZIP Code in Linda is 95901 with an average price of $2,075

Linda ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
195901$2,075

Live near Linda, California's Top Sights and Attractions

Pow Mia Park is a beautiful park located in Linda, California. The park has a variety of features that make it a great place to visit, including a playground, a picnic area, and a walking trail.

Linda, 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 Linda compare to other cities in California ?

citymedian price
Orange$2,865
Upland$2,450
Lincoln$2,845
Riverside$2,660
Valley Glen$3,080
Gardena$2,295
Panorama City$2,745
Benicia$2,600

Average household income in Linda 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 Linda in 2021 was $48,529. This represents a 22.6% change from 2011 when the median was $39,583.

#categorypercent
0Less than $10,0007.3%
1$10,000 to $14,9998.9%
2$15,000 to $19,9994.0%
3$20,000 to $24,9994.5%
4$25,000 to $29,9997.0%
5$30,000 to $34,9996.4%
6$35,000 to $39,9994.3%
7$40,000 to $44,9993.9%
8$45,000 to $49,9996.2%
9$50,000 to $59,9995.8%
10$60,000 to $74,99910.0%
11$75,000 to $99,9998.8%
12$100,000 to $124,99913.3%
13$125,000 to $149,9993.7%
14$150,000 to $199,9994.7%
15$200,000 or more1.0%

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