Rental market snapshot for Watford City, North Dakota

Watford City, North Dakota Rental Property Market Overview

The average rent for an apartment in Watford City is $836. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -7.5% over the past year.

Watford City is a city in McKenzie County, North Dakota, United States. The population was 1,744 at the 2010 census. It is the county seat of McKenzie County.

Last Updated December 23, 2022

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Average monthly rent graph in Watford City North Dakota | Cost of Living

  • The most expensive ZIP Code in Watford City is 58854 with an average price of $1,250
  • The cheapest ZIP Code in Watford City is 58854 with an average price of $845

Watford City ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
158854$1,250

Live near Watford City, North Dakota's Top Sights and Attractions

Tourist Park is a large park with a playground, a pond, and a walking trail. The park also has a pavilion that can be rented for events.

Watford City Nature Park & Fish Pond is a beautiful park that offers a variety of activities for visitors to enjoy. The park has a large pond that is perfect for fishing, picnicking, and relaxing. There are also hiking trails, a playground, and a basketball court.

The McKenzie County Pioneer Museum is a local history museum in Watford City, North Dakota. The museum features exhibits on the history of the city and the surrounding area. The museum is located in the former Watford City High School building.

Theodore Roosevelt National Park is a national park in North Dakota that features a variety of landscapes, including badlands, grasslands, and woodlands. The park is home to a variety of wildlife, including bison, elk, deer, and pronghorn. Visitors to the park can enjoy hiking, camping, picnicking, and wildlife watching.

The Watford City Walking Path is a scenic walking trail that winds its way through the city. The trail offers stunning views of the cityscape, and is a great way to get some fresh air and exercise. The trail is well-maintained and is suitable for all ages.

Watford City, North Dakota area median rent change by ZIP Code map

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How does Watford City compare to other cities in North Dakota ?

citymedian price
Williston$925
Fargo$900
Fargo$885
Wahpeton$675
Grand Forks$675
West Fargo$750
Minot$835
Bismarck$995
West Fargo$715
Bismarck$900

Average household income in Watford City area graph - US Census

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The median household income in Watford City in 2021 was $75,000. This represents a 20.7% change from 2011 when the median was $62,155.

#categorypercent
0Less than $10,0002.1%
1$10,000 to $14,9992.8%
2$15,000 to $19,9992.9%
3$20,000 to $24,9996.7%
4$25,000 to $29,9991.5%
5$30,000 to $34,9992.5%
6$35,000 to $39,9992.8%
7$40,000 to $44,9992.0%
8$45,000 to $49,9992.7%
9$50,000 to $59,9995.8%
10$60,000 to $74,99918.3%
11$75,000 to $99,9998.7%
12$100,000 to $124,99916.8%
13$125,000 to $149,99910.6%
14$150,000 to $199,9996.9%
15$200,000 or more7.0%

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.

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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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