Odd 25902

Name: 25902 Odd, WV housing market record
Creator: Lotvox
License: https://lotvox.com/terms

Raleigh County, WV · 259 properties with county records

This page: 0 views, fetched by 0 AI engines, citations not yet checked, 0 address lookups, since 2026-10-01 (server log began then).

Odd 25902 is in Raleigh, WV, part of the Beckley Metro. The typical home value in Odd 25902 is $132,672 (Zillow Home Value Index, August 2026), down 8.7% from a year earlier. Homes that sold went under contract in a median 58 days, and 0% of listings took a price cut (Redfin Data Center, period ending Aug 31, 2026). On Lotvox's market-leverage reading of that data, with 3 months of supply, neither buyers nor sellers hold a clear edge. The Lotvox Turnover Index is not published for 25902 yet: it appears only where a held-out test on the county's recorded sales beats chance. Across Raleigh's 20 ZIPs with a Zillow value, the middle one is $153,908, so 25902 sits 14% below the county middle. Lotvox holds county assessor records for 259 properties in 25902.

Headline value data through August 2026. Each source below carries its own date.

Is 25902 a buyer's or seller's market?

By Lotvox's leverage reading of Redfin data through Aug 31, 2026, 25902 is a balanced market. Homes went under contract in a median 58 days with 3 months of supply.

What do homes in 25902 sell for?

The typical home value in 25902 is $132,672 (Zillow Home Value Index, August 2026), down 8.7% in a year. County records put the median at about $53 per square foot (computed Apr 21, 2026).

Who is likely to sell in 25902?

Lotvox only publishes its Turnover Index where a held-out test on recorded sales beats chance, and 25902 has not passed that test yet. When it does, the score appears here.

How does 25902 compare to Raleigh?

25902's typical value of $132,672 compares with a middle value of $153,908 across Raleigh's 20 ZIPs. Both are Zillow Home Value Index figures for August 2026.

Where does this 25902 data come from?

Values and rents come from Zillow's research data, sales pace from the Redfin Data Center, and property counts and turnover from county assessor and deed records. Each number on this page carries its own date, and the method is published at lotvox.com/methodology.

Sources: Zillow Home Value Index (ZHVI) (as of Aug 31, 2026) · Redfin Data Center (as of Aug 31, 2026) · county assessor records (counted Oct 15, 2026) · How Lotvox works

Cite as: Lotvox ZIP market record, 25902 Odd, WV, data through August 2026, https://lotvox.com/beckley/zip/25902

Listings Flow Ladder — Listings flow could not be loaded (429).

Should you buy here?

buyer-timing lens

72affordability /100

Buyer leverage is balanced; weigh payment burden and the 3-lens valuation before bidding.

Payment burden

18.4%

affordable

Days on market

daily

Price cuts

0.0%

of active

Look up an address

Rent vs own

Not available for this ZIP — no rent or ownership-cost estimate published here.

Rent to price

Not available for this ZIP — no price-to-rent ratio published here.

/100

mixed

cooling · balanced · prices easing year-over-year.

Verdict grades housing conditions; buyer-timing, investor cash-flow, supply-tightness and county macro scores answer different questions — each in its own section.

Buyer / seller

buyer-timing lens

Negotiate Hard

Score Components

Payment Burden (25%)0

Valuation Gap (25%)100

Supply & Demand (20%)85

Days on Market (5%)100

Moderate buyer leverage in 25902. Room to negotiate 5-10% below list. Payment burden: 17.0% of median income. Median days on market: 270. Market appears 57% overpriced vs. assessed values.

What to Offer

Offer 5-10% below list. You have room to negotiate.

Conditions resemble 2019 pre-pandemic levels — moderate overvaluation with slowing demand. Negotiation room exists.

COOLINGBALANCED

Market is cooling with expanding inventory. Conditions are balanced between buyers and sellers. Prices down 8.7% YoY.

Address lookup

$99 report path

Look Up an Address in 25902

Just type the street — we'll auto-scope the search to ZIP 25902.

Actions

Export, share, or compare this ZIP

Compare

Share & embed

free · county-record data · links back here

X LinkedIn Facebook Email Share card

Embed this market card on your site

<iframe src="https://lotvox.com/embed/zip/25902" width="100%" height="300" style="border:0;border-radius:12px;overflow:hidden;max-width:640px" loading="lazy" title="Odd 25902 — Lotvox market card"></iframe>
<p style="font:12px system-ui;margin:4px 0 0"><a href="https://lotvox.com/beckley/zip/25902?utm_source=embed&utm_medium=backlink">Odd 25902 housing market data</a> by <a href="https://lotvox.com/">Lotvox</a></p>

Market snapshot

each number, once

Median price

$132,672

▾ 8.7% YoY

Days on market

daily · zip_data

Median rent

$902

county avg

Investor score

15/100

cash-flow lens

Active listings

90-day

Valuation

3 lenses, different anchors

vs assessor

—

Market vs assessed value — a tax-roll lag, not a deal signal.

Avg assessor$0

county CAMA · properties_v

vs income

—

Fair-value model not available for this market.

fair_value_scores · 10-state coverage

vs county comps

+51.0%

County-wide market — the widest, slowest signal.

Raleigh+51.0%

Mercer+59.8%

Lotvox comps · mv_valuation_gap

Read together: Above county comps but sustainable on local incomes.

Pricing detail

Price / sqft$53

Price-to-income2.8×

Unlock Vacancy Data

Available with Lotvox Pro — $29/mo.

Start free trial

How 25902 ranks in WV

percentile vs all WV ZIPs

Comparative ranking not available for this ZIP.

Affordability, supply & momentum

32SUPPLY

BalancedSupply Tightness

Supply and demand are roughly even — standard negotiation dynamics.

Months of Supply12.0 mo

Days on Market58d

Inv vs History-18.2%

Listing Density10.4/1k

Market dynamics

Price cut %0.0%

Momentumcooling

LeverageBALANCED

Months of supply3

Sales (90d)1

Investment analysis

Median rent$902

Price-to-rent12.3

Est. cap rate4.9%

Buy vs rentfavors buying

Livability

Walk score—

Transit score—

Bike score—

Historical trends

Unlock Historical Trends

Available with Lotvox Pro — $29/mo.

Start free trial

Housing pulse

4 charts, one facade

Housing pulse — Housing pulse could not be loaded (429).

Price bands

mix-shift

Price Bands — the median behind the median

A single median rises whenever expensive homes become a bigger share of what sells, even if no tier got more expensive. These are the tiers underneath it, computed from recorded arms-length deed transactions in Raleigh.

Current tiers · 12 months to Invalid Datefloor 10 sales/tier

7 tiers had too few sales at every level and are left blank rather than estimated.

Tier	Median	$/sqft	Sales	Share	Source
Under $250k	—	—	—	—	fewer than 10 sales at zip, county and metro level
$250k–$500k	—	—	—	—	fewer than 10 sales at zip, county and metro level
$500k–$750k	—	—	—	—	fewer than 10 sales at zip, county and metro level
$750k–$1M	—	—	—	—	fewer than 10 sales at zip, county and metro level
$1M–$1.5M	—	—	—	—	fewer than 10 sales at zip, county and metro level
$1.5M–$2M	—	—	—	—	fewer than 10 sales at zip, county and metro level
$2M+	—	—	—	—	fewer than 10 sales at zip, county and metro level

No mix-shift history for this area. no geography from this ZIP up to metro has 8+ quarters of 10+ recorded arms-length sales across at least 4 price tiers. Trends are drawn only from recorded transactions; the last-sale snapshot above cannot carry a time series, because a property that sold twice keeps only its latest sale — which drags the history upward through the tiers and would invent the very mix shift this section exists to test for.

National context — not local

NAR's aggregate existing-home median for the United States and the South census region. This is the figure the tiers above are a check on. It is national/regional and says nothing about 25902.

United States
South

Copyright, National Association of Realtors. Reprinted with permission. Retrieved from FRED, Federal Reserve Bank of St. Louis. FRED publishes a rolling 13-month window for these series.

Tiers computed from Lotvox parcel and deed substrate through Aug 25 (10 later months withheld as partially loaded). Sample floor 10 sales per tier; below it a figure is drawn from the county or metro and labelled, or left blank. Multi-parcel bulk deeds and duplicate records are excluded.

Unlock Price Bands

Available with Lotvox Pro — $29/mo.

Start free trial

Raleigh County context

macro · jobs · debt · migration

ZIP score grades housing; county score adds macro distress (jobs, debt, poverty). They answer different questions.

This ZIP code crosses county lines. Property data shows Raleigh (76.4%) and Mercer (23.2%). County metrics below are shown separately for each county.

Raleigh (76.4%)

Mercer (23.2%)

ZIP 25902→2 counties

12-Month Direction

-2Stable

Confidence

100%

DeterioratingStableImproving

BuildersLens Market Intelligence

Market Score

47· Weak

Market Score grades housing-market conditions (affordability, valuation, supply). The county Healthy/Moderate/Distressed badge measures economic distress (jobs, debt, poverty) — the two can read differently.

Payment Burden

18.4%

affordable

Source: Freddie Mac PMMS (FRED MORTGAGE30US) 7.4% · Zillow ZHVI · Census income · Updated 2026-10-08

Price-to-rent

12.3x

favors buying

Source: Zillow ZHVI ÷ (Zillow ZORI × 12)

Valuation18

+51%

overvalued

Source: Lotvox comps · Updated 2026-05-15

Supply/Demand

3 mo

balanced

Source: Redfin Data Center (ZIP): inventory ÷ monthly homes sold · Updated 2026-08-31

Insurance Risk

24/100

low_risk

Source: FEMA/NFIP · Updated 2026-04

County distress indicators

ECONOMIC INDICATORS

Economic indicators are mixed relative to comparable U.S. counties.

Unemployment Rate

Near national averages

Source: BLS LAUS · 2026-0845d ago

Poverty Rate

Higher than many comparable counties

Median Household Income

Lower than many comparable counties

Cost of Living (RPP)

Lower than most U.S. counties

Home Value (ZHVI)$157,840

County data: BLS, Census ACS, CDC, FBI UCR, Federal Reserve, USDA · Coverage derived from property records · Counties with <2% coverage excluded as likely data errors