ZIP 29333 Property Distress & Foreclosure Data

Spartanburg County, South Carolina's ZIP 29333 registers 33/100 composite distress, which DLRadar reads as moderate. Structural exposure scores 72 and live distress 0 on the 0–100 scale. It additionally carries heavy environmental risk: FEMA disaster exposure (92/100), climate & FEMA risk (90/100), flood (NFIP) exposure (90/100). The most distinctive pressure shows up in structural risk (72/100), institutional ownership (69/100), construction/permit lag (34/100). By contrast, construction/permit lag (34/100) register low.

The market reads neutral — home values rose 4.7% year on year, at 33/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

Owners hold 0% of homes, renters 100%. About 227 people live here, median age 26. Median household income is $56,404, below the U.S. median near $78,000. Vacancy runs 13.6%, above the national norm and a classic distress-and-opportunity signal. DLRadar's demographic-stress index for the area reads 40/100. 34.4% of residents fall below the poverty threshold. Rent burden reaches 26% of tenant households. Educational attainment sits at 38% bachelor's-or-above. There are about 171 housing units across 29333.

Net-net, 29333 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.

33/100
Composite stress
72/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 29333

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk90
+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 Spartanburg County

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Deterministic. Every signal traces to a public dataset · methodology