ZIP 29378 Foreclosure, Tax-Lien & Distress Report

Spartanburg County, South Carolina · High Vacancy market

Composite property distress in 29378 (Spartanburg County, South Carolina) lands at 33/100 — moderate on DLRadar's public-record scoring. The sharpest non-environmental signals are structural risk (72/100), institutional ownership (69/100), construction/permit lag (34/100). By contrast, construction/permit lag (34/100) register low. On the structural side it scores 72/100, with 0/100 of stress already active. It additionally carries heavy environmental risk: FEMA disaster exposure (92/100), climate & FEMA risk (90/100), flood (NFIP) exposure (90/100).

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

About 126 people live here, median age 57. The vacancy rate is 13.3% — elevated. Around 12% of renters are cost-burdened. Owners hold 31% of homes, renters 69%. 29.4% of residents fall below the poverty threshold. DLRadar's demographic-stress index for the area reads 37/100. Median household income is $26,979, below the U.S. median near $78,000. The ZIP holds roughly 179 housing units. Educational attainment sits at 0% bachelor's-or-above.

Net-net, 29378 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 29378

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.

ZIP 29378 Stress Report snapshot

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Deterministic. Every signal traces to a public dataset · methodology