States / West Virginia
State rental intelligence

West Virginia rental market data

A source-traced view across 14 metro markets and 55 counties. State figures below are labelled medians and totals—not a made-up statewide investment score.

14/14 metros scored55/55 counties with FEMA risk11 sources used in this analysis
Median scored metro46.5out of 100 · 14 measured metros
West Virginia identity diorama showing regional landscape, cities, housing, and infrastructure
Median metro home value$170kmedian across published metro values
Median metro rent$1,096monthly · published metro values
Median gross yield7.3%annual rent ÷ price · before costs
Median job trend▼ 0.7%trailing 12-month metro employment
State research brief

Rents are rising faster than home values across measured metros even as median employment is shrinking, making demand durability and exit liquidity the central screen.

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

Across 14 measured metros, median asking-rent growth was 3.6% while median home-value growth was 1.9%; the reported difference was 1.6 percentage points. Median year-over-year employment change was negative 0.7%, so stronger rent momentum does not arrive with a uniformly supportive labor signal.

Positive net migration provides a genuine counter-signal: the 55-county total was 874 people, or 0.5 per 1,000 residents, and aggregate mover income had a positive $73,556 gap. The evidence supports screening each location for employment, rent depth, resale conditions, housing-stock composition and physical risk. It cannot establish achieved occupancy, tenant quality, property expenses, insurance terms, parcel-level hazard exposure or future returns.

01

Median metro rent growth of 3.6% exceeded median value growth of 1.9% by 1.6 percentage points → test whether property-level leases can capture the headline rent momentum before underwriting income growth.

02

Median metro employment fell 0.7%, but statewide county migration was positive by 874 people → separate markets with durable local demand from those relying on rent momentum without labor support.

03

Median metro supply was 3.4 months, while Bluefield had 8.1 months and a 94.4% sale-to-list ratio → use locality-specific resale assumptions rather than the metro distribution median.

04

The median county had 17.5% vacancy, 74.0% single-family stock and only 1.2% large multifamily stock → verify vacancy type, rentable condition and operating requirements at the property level.

05

Inland flood was the leading-hazard label in all 55 counties → obtain parcel-specific flood and insurance evidence rather than treating the county label as property exposure.

01
Price and rent momentum

Rent growth leads value growth, but the spread varies sharply

Across the 14 measured metros, median rent growth was 3.6% versus 1.9% for home values, a reported gap of 1.6 percentage points. The middle range was wide: rent growth ran from 0.8% at the 10th percentile to 7.3% at the 90th, while value growth ranged from negative 0.4% to 4.0%. The median relationship therefore should not be applied to every locality.

Bluefield shows the strongest named separation: rent rose 9.3% while value slipped 0.4%, a calculated difference of 9.7 percentage points, although its indicated gross yield was 6.5%. Weirton recorded 8.3% rent growth, 4.3% value growth and a 6.9% gross yield; Huntington recorded 5.2%, 0.9% and 7.7%, respectively. These asking-rent, value and gross-yield measures are useful for prioritization, but they do not establish achieved lease growth or net operating returns.

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

02
Employment and household movement

Positive migration offsets, but does not erase, softer employment

The median year-over-year employment change across 14 measured metros was negative 0.7%, with the 10th-to-90th-percentile range running from negative 2.3% to positive 0.4%. The weakness was not universal: Morgantown posted 1.3% job growth, Huntington 0.4% and Winchester 0.3%.

Across all 55 counties, net migration was positive by 874 people, equal to 0.5 per 1,000 residents, while aggregate income moving in exceeded income moving out by $73,556. That is a meaningful counter-signal to the negative median employment reading. Because the job and migration measures cover different periods and units, they support local demand screening rather than a claim that migration is sustaining current 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

Bluefield inventory and Clarksburg marketing time break from the metro middle

Among 13 measured metros, the median market had 3.4 months of supply, 52 days on market, a 97.3% sale-to-list ratio and price reductions on 24.8% of listings. Those middle readings conceal important exit differences. Bluefield had 8.1 months of supply, above the measured 90th-percentile level of 6.0 months, along with 63 days on market and a 94.4% sale-to-list ratio. Clarksburg took 72 days to sell despite a lower four months of supply, while Morgantown had 61 days and 3.1 months.

There is also a supply counter-signal in the named building markets. Winchester and Hagerstown each had 2.9 months of supply while permitting 6.4 and 5.3 units per 1,000 residents, respectively. Permits can flag where the development pipeline deserves attention, but they are not completed units and do not establish how much future supply will compete for renters.

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

04
Housing stock and tenant conditions

High headline vacancy coincides with single-family-heavy county stock

Across all 55 counties, the median vacancy rate was 17.5% and the 90th-percentile rate was 29.8%. In the median county, renters represented 21.4% of occupied households, single-family homes represented 74.0% of stock and large multifamily buildings represented only 1.2%. The median year built was 1977. This distribution points to a market where property condition, scattered-site operating costs and the depth of comparable rentals require close attention.

Pocahontas County had a 53.5% vacancy rate, Tucker County 39.0% and Pendleton County 36.6%, but the measure does not identify how much vacant stock is available, habitable or intended for year-round rental use. Tenant affordability is another constraint: 47.0% was the median county share of renters spending at least 30% of income on rent, rising to 67.1% in Clay County, 66.9% in Webster County and 63.6% in Wirt County. These burden rates do not measure collections, but they limit what rent-growth figures alone can establish.

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

05
Physical risk and property tax

Inland flood leads every county hazard profile, while loss and tax ratios vary

Each of the 55 counties has inland flood as its mutually exclusive leading-hazard label. Across the county distribution, the median climate-loss ratio was 0.27% and the 90th-percentile ratio was 0.44%. The median measured property-tax rate was 0.49%, rising to 0.64% at the 90th percentile.

Wetzel County combined a 0.55% climate-loss ratio with a 0.67% property-tax rate. Wyoming County measured 0.49% and 0.45%, while Boone County measured 0.49% and 0.67%. These county-level ratios can prioritize further review, but a leading-hazard label does not establish parcel exposure, building vulnerability, insurability or the premium available to a specific owner.

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

Evidence selected for West 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%1.9%4.0%Asking-rent change0.8%3.6%7.3%Rent minus price1.6%
Employment and household movementDo jobs, household movement and mover income point in the same direction?
10th pct.median90th pct.Job change-2.3%-0.7%0.4%Net migration / 1k0.5Net household movement874
Supply and resale conditionsWhat do permits, inventory, marketing time and price cuts say about pressure?
10th pct.median90th pct.Permits / 1k0.10.85.0Months of supply2.9×3.4×6.0×Days on market39 days52 days63 daysListings with cuts20.9%24.8%28.6%
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 distribution14 scored metros · median 46.5
00–19220–39940–59360–79080–100
County evidence coverageEvery gap stays visible as missing—not estimated
25%14/55Rent100%55/55Climate100%55/55Migration
Highest measured metro gross yieldsscreening metric only · before expenses and financing
Charleston10.1%Clarksburg8.3%Fairmont8.2%Beckley8.0%Morgantown7.8%Huntington7.7%Wheeling7.6%
Metro leaderboard

Markets touching West Virginia

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

#MetroScorePriceRentYieldJobs
1Morgantown, WV70$232k$1,5157.8%▲ 1.3%
2Weirton, WV70$137k$7816.9%▲ 0.1%
3Huntington, WV63$168k$1,0787.7%▲ 0.4%
4Winchester, VA57$392k$1,9656.0%▲ 0.3%
5Bluefield, WV54$152k$8266.5%▼ 2.3%
6Hagerstown, MD49$329k$1,6015.9%▼ 0.2%
7Wheeling, WV47$144k$9197.6%▼ 0.6%
8Charleston, WV46$154k$1,30010.1%▼ 0.7%
9Fairmont, WV46$172k$1,1758.2%▼ 1.2%
10Clarksburg, WV45$161k$1,1138.3%▲ 0.1%
11Cumberland, MD44$173k$1,0117.0%▼ 2.3%
12Parkersburg, WV40$173k$1,0037.0%▼ 1.5%

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

Below the metro line

Largest counties in West 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
Kanawha County, WV176,537$159k$1,3009.8%inland flooding
Berkeley County, WV129,514$326k$1,7316.4%inland flooding
Monongalia County, WV107,163$272k$1,5266.7%inland flooding
Cabell County, WV92,739$172k$1,0627.4%inland flooding
Wood County, WV83,407$177k$1,0036.8%inland flooding
Raleigh County, WV73,195$161k$1,1118.3%inland flooding
Harrison County, WV64,984$157k$1,1138.5%inland flooding
Jefferson County, WV59,260$404k$1,9405.8%inland flooding
Mercer County, WV58,563$154k$8306.5%inland flooding
Putnam County, WV57,177$253k$1,3586.4%inland flooding
Marion County, WV55,909$172k$1,1758.2%inland flooding
Ohio County, WV41,582$162k$8916.6%inland flooding
County yield sample14/55counties have the rent needed to compute yield
Statewide net migration+874IRS tax-return households summed across counties
Median investor share5.4%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. West Virginia's county rent evidence is limited: rent levels cover 14 of 55 counties, rent growth covers 12 and county listing measures cover 30, so local conclusions cannot be extended to the unmeasured counties.
  2. The demand thesis is mixed rather than uniformly weak: positive net migration, a positive mover-income gap and job growth in Morgantown, Huntington and Winchester could make the negative median job reading too pessimistic for those markets.
  3. Asking-rent growth and indicated gross yields do not include concessions, vacancy, collections, repairs, management, financing or insurance, so they may overstate realizable cash performance.
  4. High ACS vacancy can include seasonal, unavailable or uninhabitable units; treating it as leasable rental supply could misstate both competition and acquisition opportunity.
  5. County climate-loss ratios and leading-hazard labels are too coarse to determine parcel exposure or insurance cost, leaving a material property-specific operating gap.
Investor questions

Before underwriting a property

Are rents and home values moving together?

Not at the same pace across the measured metros. Median rent growth was 3.6% versus 1.9% for values, but the 10th-to-90th-percentile ranges were 0.8% to 7.3% for rents and negative 0.4% to 4.0% for values.

Does employment validate the stronger rent growth?

Only partially. Median metro employment declined 0.7%, although Morgantown, Huntington and Winchester recorded positive growth. Net migration of 874 people is also supportive, but the measures do not prove current rental demand at a specific property.

Where do measured resale conditions require the most conservative assumptions?

Bluefield had 8.1 months of supply and a 94.4% sale-to-list ratio, while Clarksburg had 72 days on market. Both sit outside important parts of the measured metro distribution, but property-specific liquidity remains unknown.

Does high county vacancy mean abundant ready-to-rent housing?

No. Pocahontas, Tucker and Pendleton counties had vacancy rates of 53.5%, 39.0% and 36.6%, respectively, but the evidence does not classify those units by availability, condition or seasonal use.

Does the FEMA label show that every property has inland-flood exposure?

No. Inland flood is the mutually exclusive leading-hazard label for each of the 55 counties; it is not a parcel map, building-level loss estimate or insurance quote.