ZIP 25801 Property Distress & Foreclosure Data
ZIP code 25801 in Raleigh County, West Virginia carries a composite property-distress score of 23/100 — a low reading on DLRadar's deterministic public-record index. Climate and flood risk are elevated too — flood (NFIP) exposure (84/100), climate & FEMA risk (63/100). What sets it apart are the readings on structural risk (53/100), institutional ownership (44/100), construction/permit lag (30/100). construction/permit lag (30/100) and mortgage stress (19/100) stay muted. Structural risk reads 53/100 against active distress of 6/100.
Prices here sit in a expansion phase: values rose 11.7% over the trailing year, and 21% higher over three years, at 100/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.
Home values center near $158,900, an affordability ratio of 3.1× — accessible. Median household income is $49,370, below the U.S. median near $78,000. Vacancy runs 16.9%, above the national norm and a classic distress-and-opportunity signal. DLRadar's demographic-stress index for the area reads 34/100. 30,869 residents call 25801 home, typically aged 42. Rent burden reaches 46% of tenant households. There are about 14,953 housing units across 25801. Educational attainment sits at 23% bachelor's-or-above. Owners hold 65% of homes, renters 35%. 23.8% of residents fall below the poverty threshold.
Taken together, 25801 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 25801
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