ZIP 29063 Property Distress & Foreclosure Data

Richland County, South Carolina's ZIP 29063 registers 35/100 composite distress, which DLRadar reads as moderate. It additionally carries heavy environmental risk: climate & FEMA risk (93/100), FEMA disaster exposure (92/100), flood (NFIP) exposure (82/100). The most distinctive pressure shows up in structural risk (77/100), institutional ownership (68/100), construction/permit lag (56/100). By contrast, mortgage stress (26/100) register low. Structural risk reads 77/100 against active distress of 8/100.

The market reads peak — home values rose 3.2% year on year, and 21% higher over three years, at 36/100 phase confidence. Topping markets hide individual distress behind strong averages.

Home values center near $260,900, an affordability ratio of 2.6× — accessible. Owners hold 80% of homes, renters 20%. Vacancy runs 3.9%. DLRadar's demographic-stress index for the area reads 25/100. Median household income is $92,147, above the U.S. median near $78,000. 7.3% of residents fall below the poverty threshold. There are about 14,749 housing units across 29063. Educational attainment sits at 46% bachelor's-or-above. About 38,475 people live here, median age 39. Rent burden reaches 46% of tenant households.

Net-net, 29063 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

35/100
Composite stress
77/100
Structural risk
8/100
Distress activity

Distress signal breakdown — ZIP 29063

Foreclosure activity0
Mortgage stress26
Climate / FEMA risk93
+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 Richland County

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Deterministic. Every signal traces to a public dataset · methodology