ZIP 39741 Property Distress & Foreclosure Data

Composite property distress in 39741 (Clay County, Mississippi) lands at 11/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (50/100), structural risk (24/100), mortgage stress (4/100). On the quiet end sit mortgage stress (4/100) and institutional ownership (3/100). Structural risk reads 24/100 against active distress of 1/100.

The peak-phase market in 39741 posted values that rose 4.7% over the year, at 27/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Population is roughly 1,227 with a median age of 50. A median home runs $99,400 here, or 2.0 times local income. Households earn a median $49,048 — below the roughly $78,000 national figure. Rent burden reaches 0% of tenant households. The tenure split is 79% owner-occupied to 21% rented. Vacancy runs 16.1%, above the national norm and a classic distress-and-opportunity signal. Roughly 18.8% live below the poverty line, elevated and often tied to deferred-maintenance inventory. There are about 691 housing units across 39741. About 12% have a four-year degree. On demographic stress specifically, 39741 scores 22/100.

On the whole, 39741 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.

11/100
Composite stress
24/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 39741

Foreclosure activity0
Mortgage stress4
Climate / FEMA risk36
+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 Clay County

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Deterministic. Every signal traces to a public dataset · methodology