Rental market snapshot for Washington, District of Columbia

Washington, District of Columbia Rental Property Market Overview

The average rent for an apartment in Washington is $2,717. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 1.9% over the past year.

Washington, D.C. is the capital of the United States of America. The city is located on the Potomac River in the Mid-Atlantic region of the country. Washington, D.C. is a federal district that was created in 1790. The city is home to the federal government, as well as many national monuments and museums.

Last Updated December 22, 2022

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Average monthly rent graph in Washington District of Columbia | Cost of Living

  • The most expensive ZIP Code in Washington is 20016 with an average price of $3,267
  • The cheapest ZIP Code in Washington is 20032 with an average price of $1,250

Washington ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
120016$3,267
220037$3,200
320005$2,916
420024$2,890
520036$2,888
620004$2,866
720003$2,740
820007$2,634
920009$2,576
1020001$2,570

Live near Washington, District of Columbia's Top Sights and Attractions

Uh-oh! Looks like we don't have any data on tourist attractions in Washington, District of Columbia, looks like it is up to you to find something fun to do

Washington, District of Columbia area median rent change by ZIP Code map

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How does Washington compare to other cities in District of Columbia ?

citymedian price
Washington$2,779
Washington$2,754
Washington$2,717
Washington$2,709
Washington$2,595
Washington$2,587
Washington$2,496
Washington$2,453
Washington$2,440
Washington$2,431

Average household income in Washington area graph - US Census

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The median household income in Washington in 2021 was $90,842. This represents a 46.9% change from 2011 when the median was $61,835.

#categorypercent
0Less than $10,0008.4%
1$10,000 to $14,9993.9%
2$15,000 to $19,9992.9%
3$20,000 to $24,9992.5%
4$25,000 to $29,9992.8%
5$30,000 to $34,9992.8%
6$35,000 to $39,9992.4%
7$40,000 to $44,9992.5%
8$45,000 to $49,9992.4%
9$50,000 to $59,9995.2%
10$60,000 to $74,9997.3%
11$75,000 to $99,99910.6%
12$100,000 to $124,9999.4%
13$125,000 to $149,9996.9%
14$150,000 to $199,99910.3%
15$200,000 or more19.8%

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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