ZIP 16935 Property Distress & Foreclosure Data

Composite property distress in 16935 (Tioga County, Pennsylvania) lands at 27/100 — low on DLRadar's public-record scoring. Structural risk reads 62/100 against active distress of 8/100. Environmental exposure also runs high (flood (NFIP) exposure (92/100), FEMA disaster exposure (73/100)). The sharpest non-environmental signals are structural risk (62/100), institutional ownership (59/100), construction/permit lag (44/100). On the quiet end sit mortgage stress (25/100).

The expansion-phase market in 16935 posted values that rose 5.1% over the year, at 41/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 1,175 with a median age of 48. 87% of housing is owner-occupied. At $61,538, median income runs below typical U.S. levels. Vacancy runs 21.9%, above the national norm and a classic distress-and-opportunity signal. The typical home is worth about $200,000 (3.2× income, relatively affordable). Rent burden reaches 32% of tenant households. The poverty rate is 12.7%. There are about 638 housing units across 16935. The demographic-stress sub-score lands at 29/100. Around 23% of adults hold a bachelor's degree or higher.

On the whole, 16935 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.

27/100
Composite stress
62/100
Structural risk
8/100
Distress activity

Distress signal breakdown — ZIP 16935

Foreclosure activity0
Mortgage stress25
Climate / FEMA risk59
+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 Tioga County

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Deterministic. Every signal traces to a public dataset · methodology