ZIP 15924 Property Distress & Foreclosure Data

ZIP code 15924 in Somerset County, Pennsylvania carries a composite property-distress score of 21/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (53/100), structural risk (48/100), institutional ownership (18/100). On the quiet end sit institutional ownership (18/100) and mortgage stress (11/100). The latent-versus-live split is 48/100 structural and 3/100 already moving. Environmental exposure also runs high (flood (NFIP) exposure (81/100), climate & FEMA risk (64/100)).

The expansion-phase market in 15924 posted values that rose 5.5% over the year (phase confidence 32/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

The ZIP holds roughly 391 housing units. The poverty rate is 12.2%. At $58,333, median income runs below typical U.S. levels. The vacancy rate is 13.2% — elevated. The demographic-stress sub-score lands at 23/100. The typical home is worth about $69,500 (1.4× income, relatively affordable). Around 5% of adults hold a bachelor's degree or higher. 88% of housing is owner-occupied. Around 27% of renters are cost-burdened. Population is roughly 867 with a median age of 44.

On the whole, 15924 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.

21/100
Composite stress
48/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 15924

Foreclosure activity0
Mortgage stress11
Climate / FEMA risk64
+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 Somerset County

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Deterministic. Every signal traces to a public dataset · methodology