ZIP 17505 Property Distress & Foreclosure Data

DLRadar grades ZIP 17505 (Lancaster County, Pennsylvania) at a low 25/100 for overall property distress. Environmental exposure also runs high (climate & FEMA risk (95/100), flood (NFIP) exposure (89/100)). Property-level stress concentrates in structural risk (57/100), construction/permit lag (44/100), institutional ownership (20/100). On the quiet end sit institutional ownership (20/100) and mortgage stress (8/100). Structural exposure scores 57 and live distress 2 on the 0–100 scale.

The expansion-phase market in 17505 posted values that rose 5.8% over the year, at 35/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

The typical home is worth about $324,100 (3.4× income, relatively affordable). There are about 593 housing units across 17505. 61% of housing is owner-occupied. Vacancy runs 15.8%, above the national norm and a classic distress-and-opportunity signal. Population is roughly 2,036 with a median age of 27. At $109,514, median income runs above typical U.S. levels. Around 12% of adults hold a bachelor's degree or higher. Rent burden reaches 40% of tenant households. The demographic-stress sub-score lands at 35/100. The poverty rate is 9.1%.

On the whole, 17505 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.

25/100
Composite stress
57/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 17505

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk95
+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 Lancaster County

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Deterministic. Every signal traces to a public dataset · methodology