States / Virginia
State rental intelligence

Virginia rental market data

A source-traced view across 14 metro markets and 133 counties. State figures below are labelled medians and totals—not a made-up statewide investment score.

13/14 metros scored133/133 counties with FEMA risk14 sources used in this analysis
Median scored metro57.0out of 100 · 13 measured metros
Virginia identity diorama showing regional landscape, cities, housing, and infrastructure
Median metro home value$322kmedian across published metro values
Median metro rent$1,625monthly · published metro values
Median gross yield6.0%annual rent ÷ price · before costs
Median job trend▼ 0.1%trailing 12-month metro employment
Direct monthly rental evidence

Virginia rent market dynamics

Apartment List measures recent leases, rental vacancy and listing time separately. These figures do not replace Zillow, Census or Realtor measures elsewhere on this page.

Recent-lease rent$1,7972026-07 · ▲ 0.1% year over year
Rental Vacancy Index6.5%2026-07 · +0.5 pp in 12 months
Time on market29 days2026-07 · +3 days in 12 months
US recent-lease rent$1,3882026-07 · ▼ 1.1% year over year
Rent and rental vacancy through timesolid state series · dashed national series · no interpolation across missing observations
Recent-lease rent$1,884$1,433$981Rental Vacancy Index7.8%5.6%3.4%2017-012021-102026-07VirginiaUnited States
State research brief

Measured metro rent growth exceeded home-value growth by 2.7 percentage points at the median, yet Virginia’s recent-lease rent was nearly flat as vacancy and marketing time rose.

Updated 2026-08-08 · evidence current to the releases listed below.

Virginia presents a measurement split. Apartment List’s state recent-lease rent was $1,797, up just 0.1%, while its separate Vacancy Index increased to 6.5% and its time-on-market series lengthened by 3 days to 29.3. Those distinct measures each caution against assuming strong current lease-up conditions.

Meanwhile, median rent growth across 13 measured metros was 4.9%, compared with 2.2% median home-value growth across 14 metros. Demand and resale evidence do not confirm uniform strength: median metro job growth was negative, county net migration was only 608, and resale supply and marketing time varied widely. Screening therefore has to reconcile property lease records with local employment, renter depth and exit liquidity rather than applying a statewide growth rate.

01

Recent-lease rent rose 0.1% while vacancy increased 0.45 percentage points and time on market lengthened 3 days → screen current lease-up and achieved rent conservatively.

02

Median metro rent growth exceeded median home-value growth by 2.7 percentage points → identify local rent-to-price improvement, but verify it with paired property and metro evidence.

03

Net migration was 608 and median metro job growth was negative 0.1%, despite a positive $638,766 mover AGI gap → do not infer broad unit demand from income inflow alone.

04

Median resale supply was 2.7 months, but the 90th percentile reached 5.1 months and Danville measured 60 days on market → price exit time and negotiation risk by locality.

05

County renter share had a 25.3% median while single-family housing had a 77.8% median share → match the rental product to the depth and composition of the local tenant base.

01
Direct state rental dynamics

A flat recent-lease rent meets softer rental liquidity

Apartment List’s state recent-lease rent was $1,797 versus $1,796 a year earlier, a 0.1% increase. In its separate state Vacancy Index, vacancy rose from 6.0% to 6.5%, a 0.45-percentage-point increase. Its distinct time-on-market measure moved from 26.3 to 29.3 days, an increase of 3 days. Read separately, each measure indicates limited rent movement or slower absorption.

The counter-signal is relative firmness: Virginia’s rent change was 1.1 percentage points above the national decline of 1.1%, its vacancy rate was 0.69 percentage points lower, and time on market was 0.7 days shorter. That comparison does not remove the year-over-year softening within Virginia. A property screen should use current achieved leases, actual vacancy and observed lease-up time rather than treating the state rent level as a property-level result.

Evidence: Apartment List Rent Estimates — recent-lease rent index · Apartment List Time on Market — listing liquidity · Apartment List Vacancy Index — rental vacancy

02
Price and rent momentum

Metro rent momentum looks stronger than the state lease index

Across 13 measured metros, rent growth had a 4.9% median and ranged from 1.8% at the 10th percentile to 7.2% at the 90th. Across 14 metros, home-value growth had a 2.2% median, with a range from negative 0.4% to positive 3.8%. The supplied difference between the two medians is 2.7 percentage points.

This distribution flags places where rent momentum may be stronger than value momentum, but it does not establish the growth of an achieved lease or a net return. Rent and value coverage differ by one metro, and the stronger metro rent distribution contrasts with the nearly flat state recent-lease index. The two sources measure different markets and should be tested against local leases rather than combined into one growth assumption.

Evidence: Zillow ZHVI — metro home values · Zillow ZORI — metro market rents

03
Employment and household movement

Mover income rose without meaningful population inflow

Job growth across 14 measured metros had a negative 0.1% median, with the 10th and 90th percentiles spanning negative 2.3% to positive 0.9%. Across all 133 county-level areas, 327,505 people moved in and 326,897 moved out. Net migration was only 608, or 0.07 per 1,000 residents against a population of 8,705,170.

The counter-signal is mover income: inbound aggregate AGI was $8.68 million versus $8.04 million outbound, leaving a positive $638,766 gap. That indicates a better income balance than the headcount balance, but it cannot establish household formation, renter demand or where the income landed. Local employment and tenant evidence remain necessary because neither the migration total nor the metro job median supports a broad demand conclusion.

Evidence: Census ACS 5-year — population · BLS CES — payroll employment · BLS LAUS — resident employment · IRS SOI — county migration and mover income

04
Supply and resale conditions

Low median resale supply hides slow-exit pockets

Across 13 measured metros, resale supply had a 2.7-month median but reached 5.1 months at the 90th percentile. Median marketing time was 21 days and reached 58.6 days at the 90th percentile. A median 29.7% of listings had price drops, while the median sale-to-list ratio was 98.6%. The combination indicates that a low statewide-distribution median does not guarantee a quick, full-price exit.

Harrisonburg and Richmond each had 1.4 months of supply and marketing times of 17 and 16 days, respectively, even with 8.34 and 7.38 permits per 1,000 residents. Their price-drop shares were 23.5% and 32.5%. Danville provides the other side of the distribution: 5.2 months of supply, 60 days on market and a 96.3% sale-to-list ratio, although its price-drop share was a lower 19.2%. These are for-sale liquidity measures, not Apartment List rental time on market.

Evidence: Census Building Permits Survey — permitted units · Redfin Data Center — inventory, days on market, and price cuts

05
Housing stock and tenant conditions

High county vacancy often sits outside a deep renter base

Across 133 county-level areas, ACS housing vacancy had a 12.1% median and ranged from 4.9% at the 10th percentile to 25.7% at the 90th. The renter share had a 25.3% median and ranged from 16.0% to 50.9%. Housing was predominantly single-family at the median, with a 77.8% share, while the median large-multifamily share was only 1.8%.

Highland County had 46.2% vacancy but only an 11.1% renter share; Bath County had 43.6% vacancy and a 28.7% renter share; Northumberland County had 37.6% vacancy and a 13.9% renter share. Their single-family shares were 82.5%, 83.6% and 88.1%, respectively. These ACS vacancy rates cover the broader housing stock and cannot be treated as available rental apartments. Tenant capacity also varies: the median share of renters burdened at 30% or more was 45.3%, reaching 55.5% at the 90th percentile, while King William County measured 72.4% despite a renter share of 11.1% and vacancy of 4.9%.

Evidence: Census ACS 5-year — county housing value, tenure and stock

06
Physical risk and property tax

Inland flood leads most area hazard profiles, while taxes vary

FEMA’s mutually exclusive leading-hazard labels identify inland flood for 122 areas, hurricane for 10 and coastal flood for 1. The county climate-loss ratio had a 0.110% median, with a 0.080% to 0.184% 10th-to-90th-percentile range; Accomack County measured 0.295%. A leading-hazard label describes the top county-level hazard, not parcel-level exposure.

Across 133 areas, the effective property-tax rate had a 0.60% median and ranged from 0.47% to 0.91% between the 10th and 90th percentiles. Median tax was $1,628, with a corresponding range of $779 to $3,374. Manassas Park city measured a 1.17% rate and $4,636 median tax, Manassas city 1.09% and $4,923, and Portsmouth city 1.04% and $2,557. Because 122 areas carry inland flood as their leading label, a Virginia property screen still needs parcel-level hazard and insurance evidence; the county classification cannot supply it.

Evidence: FEMA National Risk Index — hazard loss ratios · Census ACS 5-year — effective property tax

State ZIP rental intelligence

How direct rental evidence varies inside Virginia

The distribution uses 33 current published ZIP reports across 16 cities and 18 counties. Twelve measured counter-signals are shown below; this is not a statewide neighborhood ranking.

Published ZIP rent range$1,258$2,844full direct-ZORI report cohort
Median rent / income26.6%annual asking rent ÷ ACS household income
Median one-year growth▲ 4.2%exact direct Zillow endpoints
Renter households covered266,025across published ZCTA matches
01 · RENT DISPERSIONRepresentative direct ZIP ZORI
Horizontal bars compare direct Zillow asking-rent indexes for the twelve representative published ZIP reports.20147$2,84422209$2,80422204$2,28522192$2,20522191$2,18122304$2,02923462$1,98922801$1,94723666$1,68323513$1,64523224$1,55623803$1,258
02 · AFFORDABILITY PRESSURERent / income × observed burden
Horizontal position is annual Zillow asking rent divided by ACS median household income. Vertical position is the ACS share of renter households paying thirty percent or more.62.1%56.1%50.2%44.3%38.4%223042220423462232242366622191238032280120147222092351322192Annual asking rent / ACS household income →ACS renter burden share →
03 · PATH QUALITYOne-year growth × variability
Each point compares exact one-year Zillow asking-rent growth with annualized variability from the direct monthly series.5.4%4.2%3.1%2.0%0.8%223042220423462232242366622191238032280120147222092351322192Exact one-year Zillow rent growth →Annualized monthly variability →
WHAT THE STATE DISTRIBUTION SAYS

Within Virginia's 33 current published direct-evidence ZIP reports, Zillow Observed Rent Index (ZORI) values range from $1,258 in ZIP 23803 (Petersburg) to $2,844 in ZIP 20147 (Ashburn), a $1,586 spread around the $1,998 median. This wide range makes the practical question less about a single state figure and more about which published ZIP's current asking-rent level fits a household's budget screen and tolerance for rent movement. This is a distribution of current Zillow direct-evidence ZIP reports, not every state ZIP, neighborhood, or rental property; use it to establish a comparison range rather than a universal local price. The published-report boundary also limits comparisons for places absent from the current direct series.

Affordability and renter burden are related but not interchangeable checks. Current asking-rent-to-ACS median-income ratios range from 20.8% in ZIP 22192 to 37.0% in ZIP 23224, with a 26.6% median. That calculation pairs a current observed asking-rent index with an ACS five-year ZCTA median-income estimate, making it a household-budget screen rather than an estimate of renter hardship. In contrast, the ACS share of renter households paying thirty percent or more of income toward gross rent ranges from 40.9% in 22209 to 59.6% in 23462, with a 50.3% median. The first measure combines an area median with current asking rent; the second describes a surveyed distribution of renter households. Neither replaces the income, recurring housing costs, and lease terms facing a particular household.

Momentum adds another, distinct decision lens: growth and volatility are calculated from the direct monthly Zillow series, not from ACS or HUD figures. The one-year rent change has a 4.2% median but extends from a 2.8% decline in 22304 to 10.1% growth in 23513. Growth alone does not establish a smooth historical path. Annualized volatility ranges from 1.8% in 23462 to 4.4% in 22801, against a 2.6% median. Thus, a report with strong recent growth and one with uneven month-to-month movement need not be the same place, and no historical category determines future pricing. Treat the measures as retrospective descriptions of the published series, not forecasts of the next lease or market outcome.

HUD supplies a separate reference: its FMR/SAFMR bedroom standard is administrative, not an observed asking rent. Across the published reports, the ZORI-to-HUD comparison runs from 76.0% to 147.3%, with a 102.3% median. That relationship can frame a benchmark check, but it is not evidence that a unit's market asking rent should equal the HUD amount. A ZIP-level ZORI index and a HUD bedroom standard cannot determine a particular property's advertised price, lease terms, bedroom fit, program eligibility, or availability. Confirm the actual listing, the relevant bedroom standard, and any applicable administrative rule before using either figure in a housing decision. These measures support comparison, not property-level valuation or qualification.

Representative direct evidence

Twelve useful contrasts, every one traceable

The statewide summaries use all 33 qualifying reports. The table preserves measured extremes in rent, affordability, burden, momentum, volatility and the HUD benchmark gap.

ZIP reportPlaceZillow rent1Y growthRent / incomeBurden 30%+VariabilityHUD 2BR gap
22304Alexandria$2,029▼ 2.8%24.0%52.1%2.4%▲ 79.3%
22204Arlington$2,285▼ 0.3%25.4%41.1%2.0%▲ 103.4%
23462Virginia Beach$1,989▲ 6.0%34.6%59.6%1.8%▲ 97.0%
23224Richmond$1,556▲ 3.6%37.0%50.3%2.7%▲ 94.0%
23666Hampton$1,683▲ 3.1%27.8%50.7%2.5%▲ 90.0%
22191Woodbridge$2,181▼ 1.5%23.9%48.9%2.6%▲ 95.7%
23803Petersburg$1,258▲ 9.7%26.1%46.8%3.8%▲ 76.0%
22801Harrisonburg$1,947▲ 5.8%32.4%50.6%4.4%▲ 147.3%
20147Ashburn$2,844▼ 0.7%20.8%43.4%2.1%▲ 112.9%
22209Arlington$2,804▲ 0.0%27.9%40.9%2.7%▲ 102.0%
23513Norfolk$1,645▲ 10.1%28.9%55.6%3.3%▲ 103.5%
22192Woodbridge$2,205▼ 0.5%20.8%44.8%1.9%▲ 96.3%
READ BEFORE USING

ACS housing, income, and renter-burden figures are five-year survey estimates reported for Census ZCTAs. ZCTAs are statistical areas, not identical to USPS delivery ZIPs, so these estimates should not be assumed to map exactly to every address or listing carrying a ZIP code.

Zillow ZORI is an observed asking-rent index, while HUD FMR/SAFMR is an administrative bedroom standard. The statewide distribution includes only current published direct-evidence ZIP reports, not every ZIP, neighborhood, property, lease, or available unit; neither source resolves property-level rents or eligibility.

SOURCE LEDGERCensus ACS five-year — ZCTA housing and incomeACS 2024 5-year ZCTA · pulled 2026-08-08HUD USPS crosswalk and Small Area FMRs — ZIP rent fallbackZIP-CBSA 2025Q4 + SAFMR FY2026 · pulled 2026-07-26Zillow ZORI — ZIP market rentsZORI ZIP 2026-06 · pulled 2026-08-08
Evidence selected for Virginia

The ranges behind the analysis

Each row keeps its own unit and shows the measured 10th percentile, median and 90th percentile. A single-value row is labelled directly.

Price and rent momentumAre home values and asking rents moving together or separating?
10th pct.median90th pct.Home-value change-0.4%2.2%3.8%Asking-rent change1.8%4.9%7.2%Rent minus price2.7%
Employment and household movementDo jobs, household movement and mover income point in the same direction?
10th pct.median90th pct.Job change-2.3%-0.1%0.9%Net migration / 1k0.1Net household movement608
Supply and resale conditionsWhat do permits, inventory, marketing time and price cuts say about pressure?
10th pct.median90th pct.Permits / 1k0.94.27.1Months of supply1.5×2.7×5.1×Days on market14 days21 days59 daysListings with cuts20.8%29.7%34.3%
Shape of the state

Distribution before conclusion

A statewide median can hide a wide spread. These SVG charts render at build time and carry no chart library or browser-side data request.

Metro score distribution13 scored metros · median 57.0
00–19120–39840–59460–79080–100
County evidence coverageEvery gap stays visible as missing—not estimated
58%77/133Rent100%133/133Climate100%133/133Migration
Highest measured metro gross yieldsscreening metric only · before expenses and financing
Danville8.0%Martinsville7.6%Blacksburg6.8%Kingsport6.6%Bluefield6.5%Harrisonburg6.1%Winchester6.0%
Metro leaderboard

Markets touching Virginia

Multi-state CBSAs appear in every member state. Score is still a metro score; no value is reweighted into a statewide ranking.

#MetroScorePriceRentYieldJobs
1Kingsport, TN69$249k$1,3626.6%▲ 1.2%
2Roanoke, VA66$305k$1,4155.6%▲ 0.3%
3Harrisonburg, VA62$354k$1,8076.1%▲ 0.8%
4Lynchburg, VA62$294k$1,3455.5%▲ 0.5%
5Richmond, VA59$400k$1,7725.3%▲ 0.2%
6Virginia Beach, VA58$377k$1,8786.0%▼ 0.4%
7Winchester, VA57$392k$1,9656.0%▲ 0.3%
8Danville, VA55$170k$1,1338.0%▼ 1.2%
9Bluefield, WV54$152k$8266.5%▼ 2.3%
10Staunton, VA54$339k$1,5935.6%▼ 0.5%
11Charlottesville, VA53$476k$2,0435.1%▲ 0.9%
12Blacksburg, VA45$294k$1,6566.8%▼ 1.9%

Showing the top 12 scored metros of 14. Unscored metros remain discoverable through the national rankings.

Below the metro line

Largest counties in Virginia

County figures join on the five-digit FIPS code. The table uses measured local values and prints “n/a” wherever a publisher has no record.

CountyPopulationPriceRentYieldHazard
Fairfax County, VA1,147,837$779k$2,5423.9%inland flooding
Prince William County, VA488,880$592k$2,2824.6%inland flooding
Virginia Beach city, VA456,349$433k$2,0655.7%hurricane
Loudoun County, VA432,998$810k$2,9174.3%inland flooding
Chesterfield County, VA377,869$417k$1,9265.5%inland flooding
Henrico County, VA335,744$406k$1,8405.4%inland flooding
Chesapeake city, VA252,583$430k$2,0435.7%inland flooding
Arlington County, VA236,254$824k$2,7224.0%inland flooding
Norfolk city, VA233,596$316k$1,7536.7%inland flooding
Richmond city, VA229,359$375k$1,6775.4%inland flooding
Newport News city, VA184,216$297k$1,5876.4%inland flooding
Stafford County, VA163,466$547k$2,5005.5%inland flooding
County yield sample77/133counties have the rent needed to compute yield
Statewide net migration+608IRS tax-return households summed across counties
Median investor share7.3%among counties with HMDA purchase records
Bear case

What can break the thesis

  1. The Zillow metro rent-growth distribution has 13 observations, home-value growth has 14, and Apartment List measures state recent leases -> the headline divergence may reflect coverage and methodology rather than a property-level spread.
  2. The migration series predates the current rent and listing measures -> mover totals may not describe the same market conditions facing a current acquisition.
  3. Metro supply and marketing-time measures cover 13 of 14 measured metros -> the resale distribution is incomplete and cannot characterize every Virginia locality.
  4. ACS vacancy covers the full housing stock and is a five-year measure -> high county vacancy may not represent current apartment availability or lease-up competition.
  5. FEMA provides one leading county-level hazard label, while the packet lacks parcel exposure, insurance quotes and property condition -> physical-risk costs may differ materially from the county screen.
Investor questions

Before underwriting a property

Which rent trend should an investor use for underwriting?

Neither statewide measure should be applied directly to a property. Apartment List shows state recent-lease rent up 0.1%, while the Zillow metro rent-growth distribution has a 4.9% median across 13 metros. Current property leases and the matching local series are needed to choose an assumption.

Does the evidence show broad rental-demand growth?

No. Net migration was 608 across 133 county-level areas, or 0.07 per 1,000 residents, and median metro job growth was negative 0.1%. The positive $638,766 mover AGI gap is a counter-signal, but it does not establish household formation or rental demand.

How much resale-liquidity risk is visible?

The measured metro median was 2.7 months of supply and 21 days on market, but the 90th percentiles reached 5.1 months and 58.6 days. Danville measured 5.2 months of supply, 60 days on market and a 96.3% sale-to-list ratio, showing that exit conditions can differ materially from the median.

Do counties with high ACS vacancy offer abundant rental inventory?

Not necessarily. Highland County combined 46.2% housing vacancy with an 11.1% renter share, while Northumberland County combined 37.6% vacancy with a 13.9% renter share. ACS vacancy includes the broader housing stock and is not a direct apartment-availability measure.

Can this packet establish a property’s net return and physical-risk cost?

No. It provides market and county screening evidence, but not financing, insurance, concessions, repairs, management costs, parcel taxes, property condition or parcel-level hazard exposure. Those omissions prevent a net-return or property-specific risk conclusion.