ZIP 17363 Property Distress & Foreclosure Data

York County, Pennsylvania's ZIP 17363 registers 22/100 composite distress, which DLRadar reads as low. Structural risk reads 50/100 against active distress of 2/100. The most distinctive pressure shows up in structural risk (50/100), construction/permit lag (31/100), institutional ownership (17/100). By contrast, institutional ownership (17/100) and mortgage stress (7/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (91/100), flood (NFIP) exposure (77/100).

The market reads peak — home values rose 4.6% year on year, and 15% higher over three years, at 38/100 phase confidence. Topping markets hide individual distress behind strong averages.

Vacancy runs 1.3%. On demographic stress specifically, 17363 scores 28/100. The tenure split is 84% owner-occupied to 16% rented. Rent burden reaches 57% of tenant households. A median home runs $320,100 here, or 3.1 times local income. About 31% have a four-year degree. There are about 3,420 housing units across 17363. Roughly 6.2% live below the poverty line, a low share typical of higher-equity areas. About 8,460 people live here, median age 49. Households earn a median $97,917 — above the roughly $78,000 national figure.

Overall 17363 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

22/100
Composite stress
50/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 17363

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk91
+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 York County

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Deterministic. Every signal traces to a public dataset · methodology