ZIP 17952 Property Distress & Foreclosure Data

Composite property distress in 17952 (Schuylkill County, Pennsylvania) lands at 20/100 — low on DLRadar's public-record scoring. Environmental exposure also runs high (climate & FEMA risk (84/100)). The sharpest non-environmental signals are structural risk (44/100), construction/permit lag (28/100), institutional ownership (14/100). On the quiet end sit institutional ownership (14/100) and mortgage stress (8/100). Structural exposure scores 44 and live distress 2 on the 0–100 scale.

The expansion-phase market in 17952 posted values that rose 5.5% over the year, at 32/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 22.2%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 10.3%. The typical home is worth about $62,000 (0.9× income, relatively affordable). There are about 123 housing units across 17952. Population is roughly 214 with a median age of 43. The demographic-stress sub-score lands at 32/100. 89% of housing is owner-occupied. At $62,500, median income runs below typical U.S. levels. Around 14% of adults hold a bachelor's degree or higher. Rent burden reaches 100% of tenant households.

On the whole, 17952 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
44/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 17952

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk84
+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 Schuylkill County

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Deterministic. Every signal traces to a public dataset · methodology