ZIP 29407 Property Distress & Foreclosure Data

In Charleston County, South Carolina, ZIP 29407 scores 36 of 100 for composite distress, a moderate level on DLRadar's public-record index. Structural exposure scores 80 and live distress 7 on the 0–100 scale. Climate and flood risk are elevated too — climate & FEMA risk (99/100), flood (NFIP) exposure (90/100), FEMA disaster exposure (79/100). Its standout signals are structural risk (80/100), construction/permit lag (67/100), institutional ownership (62/100). mortgage stress (25/100) stay muted.

Prices here sit in a peak phase: values rose 1.6% over the trailing year, and 24% higher over three years, at 34/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

36,640 residents call 29407 home, typically aged 37. 58% of housing is owner-occupied. The poverty rate is 11.2%. Around 51% of adults hold a bachelor's degree or higher. The typical home is worth about $451,800 (5.1× income). The demographic-stress sub-score lands at 34/100. Vacancy runs 9.9%. There are about 18,907 housing units across 29407. Rent burden reaches 40% of tenant households. At $80,568, median income runs near typical U.S. levels.

Overall, 29407 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

36/100
Composite stress
80/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 29407

Foreclosure activity0
Mortgage stress25
Climate / FEMA risk99
+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 Charleston County

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Deterministic. Every signal traces to a public dataset · methodology