ZIP 28547 Property Distress & Foreclosure Data

ZIP code 28547 in Onslow County, North Carolina carries a composite property-distress score of 33/100 — a moderate reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (96/100), FEMA disaster exposure (94/100), flood (NFIP) exposure (71/100). What sets it apart are the readings on structural risk (73/100), institutional ownership (66/100), construction/permit lag (42/100). Structural risk reads 73/100 against active distress of 0/100.

The market reads peak — home values rose 4.0% year on year, 2.0% off the recent peak, at 36/100 phase confidence. Topping markets hide individual distress behind strong averages.

There are about 2,397 housing units across 28547. Owners hold 0% of homes, renters 100%. DLRadar's demographic-stress index for the area reads 37/100. About 21,266 people live here, median age 21. Median household income is $67,981, below the U.S. median near $78,000. 8.4% of residents fall below the poverty threshold. Educational attainment sits at 25% bachelor's-or-above. Rent burden reaches 27% of tenant households. Vacancy runs 12.3%, above the national norm and a classic distress-and-opportunity signal.

Net-net, 28547 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

33/100
Composite stress
73/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 28547

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk96
+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 Onslow County

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Deterministic. Every signal traces to a public dataset · methodology