ZIP 24963 Property Distress & Foreclosure Data

Composite property distress in 24963 (Monroe County, West Virginia) lands at 20/100 — low on DLRadar's public-record scoring. Environmental exposure also runs high (flood (NFIP) exposure (60/100)). The sharpest non-environmental signals are construction/permit lag (71/100), structural risk (47/100), institutional ownership (41/100). On the quiet end sit mortgage stress (20/100). Structural exposure scores 47 and live distress 6 on the 0–100 scale.

The expansion-phase market in 24963 posted values that rose 7.0% over the year, at 36/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 3,860 with a median age of 44. The typical home is worth about $145,700 (2.8× income, relatively affordable). The poverty rate is 17.8% — high, a tax-stress and distress correlate. There are about 1,591 housing units across 24963. At $47,428, median income runs below typical U.S. levels. Around 14% of adults hold a bachelor's degree or higher. 84% of housing is owner-occupied. The demographic-stress sub-score lands at 35/100. Vacancy runs 15.0%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 71% of tenant households.

On the whole, 24963 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

20/100
Composite stress
47/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 24963

Foreclosure activity0
Mortgage stress20
Climate / FEMA risk25
+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 Monroe County

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Deterministic. Every signal traces to a public dataset · methodology