Rental market snapshot for Nevada, Texas

Nevada, Texas Rental Property Market Overview

The average rent for an apartment in Nevada is $1,850. The cost of rent varies depending on several factors, including location, size, and quality.

The average rent has decreased by -3.7% over the past year.

Nevada is a state located in the western United States. The state is known for its desert landscape and its large city of Las Vegas. Texas is a state located in the southern United States. The state is known for its large size and its diverse culture.

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 Nevada Texas | Cost of Living

  • The most expensive ZIP Code in Nevada is 75173 with an average price of $1,925
  • The cheapest ZIP Code in Nevada is 75173 with an average price of $1,740

Nevada ZIP Codes with the highest, most expensive rent

#zip codeaverage rent
175173$1,925

Live near Nevada, Texas's Top Sights and Attractions

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

Nevada, Texas 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 Nevada compare to other cities in Texas ?

citymedian price
Springtown$1,875
Joshua$2,375
Haslet$2,195
Fate$2,175
Krum$2,070
Montgomery$1,800
Denison$1,350
Longview$1,195
Fort Bend County$2,275
Marble Falls$1,400

Average household income in Nevada 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 Nevada in 2021 was $100,250. This represents a 60.9% change from 2011 when the median was $62,292.

#categorypercent
0Less than $10,0000.3%
1$10,000 to $14,9991.4%
2$15,000 to $19,9994.1%
3$20,000 to $24,9990.0%
4$25,000 to $29,9993.7%
5$30,000 to $34,9993.4%
6$35,000 to $39,9992.0%
7$40,000 to $44,9997.5%
8$45,000 to $49,9990.0%
9$50,000 to $59,9995.4%
10$60,000 to $74,9998.1%
11$75,000 to $99,99913.9%
12$100,000 to $124,99915.6%
13$125,000 to $149,99918.0%
14$150,000 to $199,99910.8%
15$200,000 or more5.8%

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.
Made withDataherald