ZIP 25832 Property Distress & Foreclosure Data

Raleigh County, West Virginia's ZIP 25832 registers 23/100 composite distress, which DLRadar reads as low. It additionally carries heavy environmental risk: flood (NFIP) exposure (84/100), climate & FEMA risk (63/100). The most distinctive pressure shows up in structural risk (53/100), institutional ownership (44/100), construction/permit lag (30/100). By contrast, construction/permit lag (30/100) and mortgage stress (19/100) register low. Structural exposure scores 53 and live distress 6 on the 0–100 scale.

The market reads expansion — home values rose 11.7% year on year, and 20% higher over three years, at 100/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

About 4,843 people live here, median age 45. A median home runs $192,600 here, or 2.3 times local income. On demographic stress specifically, 25832 scores 28/100. There are about 2,064 housing units across 25832. Households earn a median $84,020 — near the roughly $78,000 national figure. Vacancy runs 9.4%. About 34% have a four-year degree. Rent burden reaches 63% of tenant households. The tenure split is 87% owner-occupied to 13% rented. Roughly 9.5% live below the poverty line.

Overall 25832 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

23/100
Composite stress
53/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 25832

Foreclosure activity0
Mortgage stress19
Climate / FEMA risk63
+9 more distress dimensions scored for this ZIP

Tax delinquency, institutional ownership, insurance pressure, NFIP/flood, construction lag, price dislocation and auction velocity — plus the 0 individual distressed properties (owner, address, APN, per-property score and exit read) are in the full DLRadar report.

Nearby ZIPs in Raleigh County

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Deterministic. Every signal traces to a public dataset · methodology