ZIP 16647 Property Distress & Foreclosure Data

Composite property distress in 16647 (Huntingdon County, Pennsylvania) lands at 19/100 — low on DLRadar's public-record scoring. Structural exposure scores 46 and live distress 3 on the 0–100 scale. Environmental exposure also runs high (flood (NFIP) exposure (65/100)). The sharpest non-environmental signals are construction/permit lag (70/100), structural risk (46/100), institutional ownership (15/100). On the quiet end sit institutional ownership (15/100) and mortgage stress (10/100).

The expansion-phase market in 16647 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.

87% of housing is owner-occupied. The typical home is worth about $303,500 (3.4× income, relatively affordable). There are about 534 housing units across 16647. At $83,611, median income runs near typical U.S. levels. Population is roughly 836 with a median age of 41. Vacancy runs 36.7%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 6.1% — low. Rent burden reaches 11% of tenant households. Around 27% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 26/100.

On the whole, 16647 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.

19/100
Composite stress
46/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 16647

Foreclosure activity0
Mortgage stress10
Climate / FEMA risk51
+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 Huntingdon County

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Deterministic. Every signal traces to a public dataset · methodology