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 risk13 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
State research brief

Asking rents are rising 2.7 percentage points faster than home values across measured metros, yet median employment is slightly down and county migration is nearly balanced.

Updated 2026-07-31 · evidence current to the releases listed below.

Across the measured metro set, median asking-rent growth was 4.9% versus 2.2% for home values. That spread can improve a top-line rental screen, but the demand evidence is restrained: median metro job growth was -0.09%, while net migration across 133 county-level areas was only 608 people, or 0.07 per 1,000 residents.

The practical split is local rather than statewide. Some metros combine faster rent growth with attractive gross yields, while others show long marketing times, excess for-sale supply or weak sale-to-list results. These figures support screening markets for rent momentum, employment, liquidity and affordability together; they do not establish realized rent, occupancy, operating expenses, parcel-level hazard exposure or future performance.

01

Median metro asking-rent growth of 4.9% versus 2.2% home-value growth → prioritize local rent-value divergence for initial screening rather than assuming uniform appreciation.

02

Median job growth of -0.09% and net migration of 0.07 per 1,000 residents → require local employment and household-demand confirmation before relying on recent rent momentum.

03

Median supply of 2.7 months and 21 marketing days, but 90th-percentile readings of 5.1 months and 58.6 days → set resale assumptions at the metro level.

04

Median gross yield of 6.0% and rent-to-income of 26.1% → compare top-line yield with tenant affordability and full operating costs.

05

High county vacancy paired with low renter shares in several areas → do not treat total housing vacancy as immediately leasable rental supply.

01
Price and rent momentum

The measured metro set carries a 2.7-point rent lead

Median asking-rent growth was 4.9% across 13 measured metros, while median home-value growth was 2.2% across 14. The supplied difference is 2.7 percentage points. Rent growth ran from 1.8% at the 10th percentile to 7.2% at the 90th, compared with -0.4% to 3.8% for home values.

The separation is visible in specific markets: Bluefield posted 9.3% rent growth and a 0.4% value decline; Danville recorded 7.5% rent growth and 2.0% value growth; Kingsport recorded 6.0% and 1.2%, respectively. Their measured gross yields were 6.5%, 8.0% and 6.6%. That makes rent-value divergence useful for initial screening, but asking-rent and home-value indexes do not show lease renewals, concessions, occupancy or cash net operating income.

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

02
Employment and household movement

Near-zero migration tempers the rent-growth case

Median job growth across 14 metros was -0.09%, with a 10th-to-90th percentile range of -2.3% to 0.9%. Across all 133 county-level areas, 327,505 people moved in and 326,897 moved out. The resulting net inflow was 608, equal to 0.07 per 1,000 residents. Those readings do not provide broad demand confirmation for the faster rent growth.

There are counter-signals. Aggregate mover income flowing in exceeded income flowing out by $638,766, and employment grew 1.2% in Kingsport, 0.9% in Charlottesville and 0.8% in Harrisonburg. These measured pockets keep local demand screens relevant, but the employment, migration and rent series cover different geographies and periods, so their combination cannot establish that household movement caused rent growth.

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

03
Supply and resale conditions

Tight median resale conditions hide slow exit markets

The median measured metro had 2.7 months of supply, 21 days on market and a 98.6% sale-to-list ratio. Yet the respective 90th-percentile readings reached 5.1 months of supply and 58.6 days on market. Bluefield was slower still at 8.1 months, 63 days and a 94.4% sale-to-list ratio; Danville had 5.2 months, 60 days and a 96.3% ratio.

Permitting and current inventory also need separate treatment. Harrisonburg and Richmond each had only 1.4 months of supply even with permitting rates of 8.34 and 7.38 units per 1,000 residents; their median marketing times were 17 and 16 days. Winchester had 2.9 months of supply and 46 days on market. Permits measure authorized construction rather than completed or rental units, so they cannot by themselves establish future rental competition or exit liquidity.

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

04
Entry cost and affordability

Lower entry prices improve gross yield without removing rent strain

Across 14 measured metros, the median home value was $321,895, median asking rent was $1,625 and median gross yield was 6.0%. Gross yields ranged from 5.2% at the 10th percentile to 7.4% at the 90th. The median rent-to-income measure was 26.1%, while the median asking-rent-to-Fair-Market-Rent ratio was 113.1%.

Danville paired a $170,415 value with $1,133 rent, an 8.0% gross yield and a 27.3% rent-to-income measure. Martinsville paired $137,457 with $874, producing a 7.6% yield and 21.0% rent-to-income measure. Blacksburg's measured yield was 6.8%, but its rent-to-income measure was 30.2%. These are useful entry screens, not returns: gross yield omits vacancy, maintenance, taxes, insurance, financing and transaction costs.

Evidence: Census ACS 5-year — household income · HUD Fair Market Rents — Section 8 standard · Zillow ZHVI — metro home values · Zillow ZORI — metro market rents

05
Housing stock and tenant conditions

High county vacancy often sits outside a deep rental base

Across 133 county-level areas, median housing vacancy was 12.1%, median renter share was 25.3% and the median share of renters spending at least 30% of income on rent was 45.3%. The vacancy distribution was wide, from 4.9% at the 10th percentile to 25.7% at the 90th.

King William County combined a 4.9% vacancy rate and 11.1% renter share with 72.4% rent burden. Buchanan County had 27.0% vacancy, a 16.9% renter share and 66.5% rent burden. Highland County's vacancy rate was 46.2%, but its renter share was only 11.1% and its single-family share was 82.5%; Northumberland County showed a similar mismatch at 37.6%, 13.9% and 88.1%. Overall vacancy therefore should not be treated as available rental inventory. The median county stock year was 1981, but the packet does not identify vacancy type or property condition.

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

06
Physical risk and property tax

Inland flood leads the hazard classification while tax burdens vary separately

Inland flood is the mutually exclusive leading-hazard label for 122 county-level areas, hurricane for 10 and coastal flood for one. The median expected hazard-loss ratio was 0.11%, rising to 0.18% at the 90th percentile. Accomack County, Bland County and Craig County had measured ratios of 0.29%, 0.29% and 0.28%, respectively.

The median effective property-tax rate was 0.60%, compared with 0.91% at the 90th percentile. Manassas Park city measured 1.17% with a $4,636 median tax, Manassas city 1.09% with $4,923 and Portsmouth city 1.04% with $2,557. Taxes and hazard-loss ratios therefore require separate underwriting. A county's leading-hazard label and expected-loss ratio do not establish parcel exposure, flood zone, building mitigation or insurance cost.

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

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
Sources used in this analysis

Measured releases, not a global source count

Only sources supporting the selected evidence modules are listed here.

Bear case

What can break the thesis

  1. Near-flat migration and slightly negative median job growth may leave the rent-growth thesis dependent on a limited set of local markets.
  2. Asking rents, modeled home values and gross yields do not capture achieved rent, concessions, occupancy, repairs, financing or net operating income.
  3. Permit authorizations do not establish project completion, delivery timing or whether new units will compete with the target rental type.
  4. County housing and hazard measures are too broad for property underwriting; vacancy type, parcel exposure, insurance premiums and building condition are missing.
  5. The evidence joins different source periods and geographic units, including metros that cross state boundaries, so it cannot support a causal or uniform statewide conclusion.
Investor questions

Before underwriting a property

Are rents broadly outpacing home values in the measured metro set?

Yes at the distribution midpoint: median asking-rent growth was 4.9% versus 2.2% for home values, a supplied gap of 2.7 percentage points. Coverage differs slightly, with 13 metros reporting rent growth and 14 reporting value growth.

Do jobs and migration validate the faster rent growth?

Not broadly. Median metro job growth was -0.09%, and county net migration was only 608 people, or 0.07 per 1,000 residents. Positive employment in Kingsport, Charlottesville and Harrisonburg and a positive mover-income gap are counter-signals that support local rather than statewide screening.

Which measured metros show the strongest initial gross-yield figures?

Danville measured 8.0%, Martinsville 7.6% and Blacksburg 6.8%. These are gross ratios based on measured values and asking rents, not projected cash returns.

Can an investor assume a quick resale exit?

No. The median metro had 21 days on market and 2.7 months of supply, but the respective 90th-percentile readings were 58.6 days and 5.1 months. Bluefield reached 63 days and 8.1 months of supply.

What remains unmeasured before evaluating a specific property?

The packet does not provide property-level lease history, concessions, vacancy, repair needs, insurance quotes, flood-zone status, mitigation features, financing terms or reassessment effects. Those gaps prevent conversion of the market screens into parcel-level expected returns.