ZIP 38764 Property Distress & Foreclosure Data

DLRadar grades ZIP 38764 (Bolivar County, Mississippi) at a low 16/100 for overall property distress. Climate and flood risk are elevated too — flood (NFIP) exposure (79/100), climate & FEMA risk (70/100). Property-level stress concentrates in structural risk (36/100), institutional ownership (18/100), mortgage stress (9/100). institutional ownership (18/100) and mortgage stress (9/100) stay muted. Structural exposure scores 36 and live distress 3 on the 0–100 scale.

Prices here sit in a neutral phase: values rose 4.4% over the trailing year, at 27/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

The typical home is worth about $109,400 (2.9× income, relatively affordable). Vacancy runs 20.0%, above the national norm and a classic distress-and-opportunity signal. 185 residents call 38764 home, typically aged 62. Around 25% of adults hold a bachelor's degree or higher. 71% of housing is owner-occupied. The demographic-stress sub-score lands at 23/100. The poverty rate is 3.2% — low. At $30,000, median income runs below typical U.S. levels. There are about 133 housing units across 38764. Rent burden reaches 9% of tenant households.

Taken together, 38764 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.

16/100
Composite stress
36/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 38764

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk70
+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 Bolivar County

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Deterministic. Every signal traces to a public dataset · methodology