11 Apartments under 900 for rent in Virginia Beach, VA

Last updated January 19 at 9:30am UTC
504 Barberton Drive
Northeast Virginia Beach
Virginia Beach, VA
Updated January 13 at 11:45am UTC
1 Bedroom
$850
8024 Thompson RD
East Ocean View
Norfolk, VA
Updated January 19 at 9:30am UTC
2 Bedrooms
$795
9513 17th Bay ST
East Ocean View
Norfolk, VA
Updated January 19 at 9:30am UTC
2 Bedrooms
$850
Results within 1 miles of Virginia Beach, VA
1465 Kempsville RD
Lake Taylor
Norfolk, VA
Updated January 3 at 11:55am UTC
2 Bedrooms
$850
9633 20th Bay St Unit 2
East Ocean View
Norfolk, VA
Updated January 19 at 5:09am UTC
2 Bedrooms
$725
9553 19th Bay ST
East Ocean View
Norfolk, VA
Updated January 3 at 11:54am UTC
2 Bedrooms
$850
311 Virginia Beach BLVD
Northeast Virginia Beach
Virginia Beach, VA
Updated January 19 at 9:30am UTC
1 Bedroom
$795
610 Crows Nest CT
Northwest Virginia Beach
Virginia Beach, VA
Updated January 3 at 11:53am UTC
2 Bedrooms
$875
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January 2018 Virginia Beach Rent Report

Welcome to the January 2018 Virginia Beach Rent Report. Virginia Beach rents declined over the past month. In this report, we'll evaluate trends in the Virginia Beach rental market, including comparisons to cities throughout the state and nation.

View full Virginia Beach Rent Report
Rent Report
Virginia Beach

January 2018 Virginia Beach Rent Report

Welcome to the January 2018 Virginia Beach Rent Report. Virginia Beach rents declined over the past month. In this report, we'll evaluate trends in the Virginia Beach rental market, including comparisons to cities throughout the state and nation.

Virginia Beach rents declined over the past month

Virginia Beach rents have declined 0.1% over the past month, but are up moderately by 2.4% in comparison to the same time last year. Currently, median rents in Virginia Beach stand at $1,060 for a one-bedroom apartment and $1,280 for a two-bedroom. This is the fourth straight month that the city has seen rent decreases after an increase in August. Virginia Beach's year-over-year rent growth leads the state average of 1.5%, but trails the national average of 2.8%.

Rents rising across cities in Virginia

Throughout the past year, rent increases have been occurring not just in the city of Virginia Beach, but across the entire state. Of the largest 10 cities that we have data for in Virginia, all of them have seen prices rise. The state as a whole logged rent growth of 1.5% over the past year. Here's a look at how rents compare across some of the largest cities in the state.

  • Looking throughout the state, Arlington is the most expensive of all Virginia's major cities, with a median two-bedroom rent of $1,990; of the 10 largest Virginia cities that we have data for, all have seen rents rise year-over-year, with Portsmouth experiencing the fastest growth (+3.8%).
  • Virginia Beach, Newport News, and Norfolk have all experienced year-over-year growth above the state average (2.4%, 2.2%, and 1.8%, respectively).

Virginia Beach rents more affordable than many large cities nationwide

As rents have increased moderately in Virginia Beach, a few large cities nationwide have also seen rents grow modestly. Virginia Beach is still more affordable than most large cities across the country.

  • Virginia Beach's median two-bedroom rent of $1,280 is above the national average of $1,160. Nationwide, rents have grown by 2.8% over the past year compared to the 2.4% rise in Virginia Beach.
  • While Virginia Beach's rents rose moderately over the past year, many cities nationwide also saw increases, including Phoenix (+3.8%), Seattle (+3.0%), and Dallas (+2.2%).
  • Renters will find more reasonable prices in Virginia Beach than most large cities. For example, San Francisco has a median 2BR rent of $3,010, which is more than twice the price in Virginia Beach.

For more information check out our national report. You can also access our full data for cities and counties across the U.S. at this link.
City Median 1BR price Median 2BR price M/M price change Y/Y price change
Virginia Beach $1,060 $1,280 -0.1% 2.4%
Norfolk $790 $950 -0.1% 1.8%
Chesapeake $980 $1,180 -0.2% 1.7%
Newport News $830 $1,000 -0.5% 2.2%
Hampton $860 $1,040 -0.2% 1.7%
Portsmouth $780 $940 0.8% 3.8%
Suffolk $910 $1,090 0.5% 1.3%
Williamsburg $1,000 $1,190 0.1% -0.2%

Methodology - Recent Updates:

Data from private listing sites, including our own, tends to skew toward luxury apartments, which introduces sample bias when estimates are calculated directly from these listings. To address these limitations, we’ve recently made major updates to our methodology, which we believe have greatly improved the accuracy and reliability of our estimates.

Read more about our new methodology below, or see a more detailed post here.

Methodology:

Apartment List is committed to making our rent estimates the best and most accurate available. To do this, we start with reliable median rent statistics from the Census Bureau, then extrapolate them forward to the current month using a growth rate calculated from our listing data. In doing so, we use a same-unit analysis similar to Case-Shiller’s approach, comparing only units that are available across both time periods to provide an accurate picture of rent growth in cities across the country.

Our approach corrects for the sample bias inherent in other private sources, producing results that are much closer to statistics published by the Census Bureau and HUD. Our methodology also allows us to construct a picture of rent growth over an extended period of time, with estimates that are updated each month.

Read more about our methodology here.

About Rent Reports:

Apartment List publishes monthly reports on rental trends for hundreds of cities across the U.S. We intend these reports to be a source of reliable information that help renters and policymakers make sound decisions, and we invest significant time and effort in gathering and analyzing rent data. Our work is covered regularly by journalists across the country.

We are continuously working to improve our methodology and data, with the goal of providing renters with the information that they need to make the best decisions.