ZIP 28392 Property Distress & Foreclosure Data

Composite property distress in 28392 (Bladen County, North Carolina) lands at 35/100 — moderate on DLRadar's public-record scoring. Structural risk reads 77/100 against active distress of 0/100. Environmental exposure also runs high (FEMA disaster exposure (88/100), flood (NFIP) exposure (83/100), climate & FEMA risk (82/100)). The sharpest non-environmental signals are structural risk (77/100), construction/permit lag (71/100), institutional ownership (66/100).

The expansion-phase market in 28392 posted values that rose 5.5% over the year, at 30/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 1,564 with a median age of 51. A median home runs $116,100 here, or 1.5 times local income. The tenure split is 73% owner-occupied to 27% rented. There are about 829 housing units across 28392. Households earn a median $72,019 — near the roughly $78,000 national figure. Vacancy runs 5.6%. Rent burden reaches 72% of tenant households. On demographic stress specifically, 28392 scores 32/100. Roughly 26.6% live below the poverty line, elevated and often tied to deferred-maintenance inventory. About 19% have a four-year degree.

On the whole, 28392 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.

35/100
Composite stress
77/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 28392

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk82
+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 Bladen County

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Deterministic. Every signal traces to a public dataset · methodology