ZIP 29918 Property Distress & Foreclosure Data

Composite property distress in 29918 (Hampton County, South Carolina) lands at 21/100 — low on DLRadar's public-record scoring. It additionally carries heavy environmental risk: FEMA disaster exposure (95/100). On the structural side it scores 43/100, with 7/100 of stress already active. The sharpest non-environmental signals are institutional ownership (55/100), structural risk (43/100), mortgage stress (23/100). By contrast, mortgage stress (23/100) and construction/permit lag (19/100) register low.

The market reads expansion — home values rose 5.4% year on year (phase confidence 48/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.

Median household income is $38,657, below the U.S. median near $78,000. Around 30% of renters are cost-burdened. The ZIP holds roughly 1,915 housing units. DLRadar's demographic-stress index for the area reads 30/100. Home values center near $90,200, an affordability ratio of 2.3× — accessible. Educational attainment sits at 8% bachelor's-or-above. About 4,777 people live here, median age 40. The vacancy rate is 19.5% — elevated. 20.9% of residents fall below the poverty threshold. Owners hold 78% of homes, renters 22%.

Net-net, 29918 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.

21/100
Composite stress
43/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 29918

Foreclosure activity0
Mortgage stress23
Climate / FEMA risk58
+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