ZIP 39532 Property Distress & Foreclosure Data

In Harrison County, Mississippi, ZIP 39532 scores 24 of 100 for composite distress, a low level on DLRadar's public-record index. Climate and flood risk are elevated too — climate & FEMA risk (95/100), flood (NFIP) exposure (74/100). Its standout signals are structural risk (54/100), construction/permit lag (44/100), institutional ownership (17/100). institutional ownership (17/100) and mortgage stress (8/100) stay muted. Structural risk reads 54/100 against active distress of 3/100.

Prices here sit in a neutral phase: values rose 4.3% over the trailing year, and 8% higher over three years, at 27/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

The typical home is worth about $243,800 (3.5× income, relatively affordable). 62% of housing is owner-occupied. There are about 15,356 housing units across 39532. Vacancy runs 8.6%. The demographic-stress sub-score lands at 31/100. Rent burden reaches 37% of tenant households. The poverty rate is 11.4%. Around 26% of adults hold a bachelor's degree or higher. 36,710 residents call 39532 home, typically aged 39. At $65,892, median income runs below typical U.S. levels.

Overall, 39532 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

24/100
Composite stress
54/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 39532

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk95
+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 Harrison County

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Deterministic. Every signal traces to a public dataset · methodology