Rental market snapshot for Pikesville, Maryland

Pikesville, Maryland Rental Property Market Overview

The average rent for an apartment in Pikesville is $1,671. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -0.18% over the past year.

Pikesville is a city located in Baltimore County, Maryland. As of the 2010 census, the population was 30,764. Pikesville is located just north of Baltimore City and is part of the Baltimore metropolitan area. The city is home to a number of historical landmarks, including the Maryland State Fairgrounds and the Baltimore & Ohio Railroad Museum. Pikesville is also home to a number of businesses and industries, including the Pikesville Armory and the Pikesville Distilling Company.

Last Updated December 23, 2022

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Average monthly rent graph in Pikesville Maryland | Cost of Living

  • The most expensive ZIP Code in Pikesville is 21208 with an average price of $1,800
  • The cheapest ZIP Code in Pikesville is 21207 with an average price of $1,435

Pikesville ZIP Codes with the highest, most expensive rent

#zip codeaverage rent

Live near Pikesville, Maryland's Top Sights and Attractions

Goldsmith Museum Of Chizuk Amuno Congregation is a museum dedicated to the history and culture of the Chizuk Amuno Congregation, a Jewish congregation in Pikesville, Maryland. The museum features exhibits on the history of the congregation, the Jewish community in Pikesville, and the Baltimore Jewish community.

Bonnie View Park is a scenic park located in Pikesville, Maryland. The park features beautiful views of the surrounding area, including the city skyline. There are also a variety of amenities available for visitors, including a playground, picnic areas, and a walking trail.

Blue Stone Park is a large park with a playground, a pond, and a walking trail. The playground has a climbing structure, swings, and a slide. The pond is stocked with fish and has a dock for fishing. The walking trail goes around the pond and through the woods.

Pikesville, Maryland area median rent change by ZIP Code map

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How does Pikesville compare to other cities in Maryland ?

citymedian price

Average household income in Pikesville area graph - US Census

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The median household income in Pikesville in 2021 was $85,343. This represents a 19.3% change from 2011 when the median was $71,522.

0Less than $10,0004.6%
1$10,000 to $14,9993.2%
2$15,000 to $19,9993.7%
3$20,000 to $24,9992.6%
4$25,000 to $29,9993.1%
5$30,000 to $34,9992.8%
6$35,000 to $39,9993.3%
7$40,000 to $44,9993.8%
8$45,000 to $49,9991.9%
9$50,000 to $59,9995.4%
10$60,000 to $74,9998.3%
11$75,000 to $99,99913.6%
12$100,000 to $124,99911.0%
13$125,000 to $149,9997.1%
14$150,000 to $199,99910.8%
15$200,000 or more14.8%

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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