Rental market snapshot for Spanaway, Washington

Spanaway, Washington Rental Property Market Overview

The average rent for an apartment in Spanaway is $2,444. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has increased by 0.67% over the past year.

Spanaway is a city located in Pierce County, Washington. The population was 27,227 at the 2010 census. Spanaway is notable for its large military presence due to the nearby Joint Base Lewis-McChord.

Last Updated December 23, 2022

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Average monthly rent graph in Spanaway Washington | Cost of Living

  • The most expensive ZIP Code in Spanaway is 98387 with an average price of $2,525
  • The cheapest ZIP Code in Spanaway is 98387 with an average price of $2,464

Spanaway ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
198387$2,525

Live near Spanaway, Washington's Top Sights and Attractions

Spanaway Park Trail is a scenic trail located in Spanaway, Washington. The trail offers stunning views of the surrounding area, and is a popular spot for hiking, biking, and picnicking.

Fir Lane Memorial Park And Funeral is a beautiful park and funeral home located in Spanaway, Washington. The park is full of fir trees, and the funeral home is a beautiful, modern building.

Spanaway Park is a beautiful park located in Spanaway, Washington. The park has a playground, a picnic area, and a walking trail. The park is also home to a variety of birds and other wildlife.

The Spanaway Historical Society is a non-profit organization dedicated to preserving the history of Spanaway, Washington. The Society operates a museum which is open to the public and houses a collection of artifacts and archives related to the history of Spanaway. The Society also sponsors events and programs throughout the year which are open to the public.

Spanaway, Washington area median rent change by ZIP Code map

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How does Spanaway compare to other cities in Washington ?

citymedian price
Sumner$2,711
Black Diamond$2,595
Bainbridge Island$2,640
Spanaway$2,467
Snohomish$2,995
Sumner$2,630
Edgewood$2,400
Federal Way$2,725
Renton$2,477
Ferndale$1,945

Average household income in Spanaway area graph - US Census

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The median household income in Spanaway in 2021 was $76,447. This represents a 19.5% change from 2011 when the median was $63,980.

#categorypercent
0Less than $10,0004.5%
1$10,000 to $14,9992.2%
2$15,000 to $19,9993.7%
3$20,000 to $24,9992.0%
4$25,000 to $29,9992.4%
5$30,000 to $34,9994.6%
6$35,000 to $39,9993.4%
7$40,000 to $44,9993.3%
8$45,000 to $49,9994.7%
9$50,000 to $59,9996.9%
10$60,000 to $74,99911.5%
11$75,000 to $99,99920.4%
12$100,000 to $124,99911.7%
13$125,000 to $149,9998.8%
14$150,000 to $199,9996.5%
15$200,000 or more3.4%

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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