ZIP 43768 Property Distress & Foreclosure Data

DLRadar grades ZIP 43768 (Guernsey County, Ohio) at a minimal 13/100 for overall property distress. Structural risk reads 32/100 against active distress of 3/100. Property-level stress concentrates in structural risk (32/100), construction/permit lag (28/100), institutional ownership (18/100). institutional ownership (18/100) and mortgage stress (9/100) stay muted. Climate and flood risk are elevated too — flood (NFIP) exposure (72/100).

Prices here sit in a expansion phase: values rose 5.1% over the trailing year, at 36/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

63% of housing is owner-occupied. Rent burden reaches 11% of tenant households. The typical home is worth about $137,500 (1.6× income, relatively affordable). Around 19% of adults hold a bachelor's degree or higher. 256 residents call 43768 home, typically aged 40. The demographic-stress sub-score lands at 22/100. There are about 119 housing units across 43768. The poverty rate is 12.1%. Vacancy runs 20.3%, above the national norm and a classic distress-and-opportunity signal. At $94,167, median income runs above typical U.S. levels.

Taken together, 43768 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

13/100
Composite stress
32/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 43768

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk35
+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 Guernsey County

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Deterministic. Every signal traces to a public dataset · methodology