ZIP 29922 Property Distress & Foreclosure Data

Composite property distress in 29922 (Hampton County, South Carolina) lands at 24/100 — low on DLRadar's public-record scoring. Structural risk reads 51/100 against active distress of 0/100. The sharpest non-environmental signals are institutional ownership (67/100), structural risk (51/100), construction/permit lag (19/100). On the quiet end sit construction/permit lag (19/100). Environmental exposure also runs high (FEMA disaster exposure (95/100), climate & FEMA risk (64/100)).

The peak-phase market in 29922 posted values that rose 4.3% over the year, at 42/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Households earn a median $34,667 — below the roughly $78,000 national figure. The tenure split is 94% owner-occupied to 6% rented. Roughly 35.9% live below the poverty line, elevated and often tied to deferred-maintenance inventory. There are about 435 housing units across 29922. Vacancy runs 22.5%, above the national norm and a classic distress-and-opportunity signal. On demographic stress specifically, 29922 scores 24/100. About 9% have a four-year degree. Rent burden reaches 0% of tenant households. Population is roughly 907 with a median age of 51.

On the whole, 29922 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.

24/100
Composite stress
51/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 29922

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk64
+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 Hampton County

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Deterministic. Every signal traces to a public dataset · methodology