ZIP 35671 Property Distress & Foreclosure Data

In Limestone County, Alabama, ZIP 35671 scores 31 of 100 for composite distress, a moderate level on DLRadar's public-record index. Climate and flood risk are elevated too — FEMA disaster exposure (83/100), climate & FEMA risk (81/100), flood (NFIP) exposure (65/100). Its standout signals are structural risk (69/100), institutional ownership (59/100), construction/permit lag (58/100). mortgage stress (22/100) stay muted. Structural risk reads 69/100 against active distress of 7/100.

Prices here sit in a peak phase: values rose 3.6% over the trailing year, and 30% higher over three years, at 33/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

1,907 residents call 35671 home, typically aged 53. There are about 719 housing units across 35671. At $84,467, median income runs near typical U.S. levels. Rent burden reaches 29% of tenant households. The typical home is worth about $241,300 (3.0× income, relatively affordable). Vacancy runs 0.0%. The demographic-stress sub-score lands at 26/100. Around 21% of adults hold a bachelor's degree or higher. 80% of housing is owner-occupied. The poverty rate is 6.1% — low.

Overall, 35671 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.

31/100
Composite stress
69/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 35671

Foreclosure activity0
Mortgage stress22
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 Limestone County

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Deterministic. Every signal traces to a public dataset · methodology