ZIP 29945 Property Distress & Foreclosure Data

Composite property distress in 29945 (Colleton County, South Carolina) lands at 34/100 — moderate on DLRadar's public-record scoring. It additionally carries heavy environmental risk: FEMA disaster exposure (95/100), climate & FEMA risk (81/100), flood (NFIP) exposure (75/100). The latent-versus-live split is 74/100 structural and 9/100 already moving. The sharpest non-environmental signals are structural risk (74/100), institutional ownership (72/100), construction/permit lag (59/100). By contrast, mortgage stress (29/100) register low.

The market reads peak — home values rose 4.0% year on year (phase confidence 41/100). Topping markets hide individual distress behind strong averages.

The ZIP holds roughly 2,253 housing units. Around 34% of renters are cost-burdened. Owners hold 77% of homes, renters 23%. Educational attainment sits at 11% bachelor's-or-above. 21.7% of residents fall below the poverty threshold. Home values center near $124,300, an affordability ratio of 2.3× — accessible. Median household income is $48,371, below the U.S. median near $78,000. About 3,652 people live here, median age 49. DLRadar's demographic-stress index for the area reads 29/100. The vacancy rate is 17.1% — elevated.

Net-net, 29945 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.

34/100
Composite stress
74/100
Structural risk
9/100
Distress activity

Distress signal breakdown — ZIP 29945

Foreclosure activity0
Mortgage stress29
Climate / FEMA risk81
+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 Colleton County

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Deterministic. Every signal traces to a public dataset · methodology