ZIP 35206 Property Distress & Foreclosure Data
ZIP code 35206 in Jefferson County, Alabama carries a composite property-distress score of 32/100 — a moderate reading on DLRadar's deterministic public-record index. Structural risk reads 71/100 against active distress of 7/100. Climate and flood risk are elevated too — climate & FEMA risk (97/100), FEMA disaster exposure (83/100), flood (NFIP) exposure (76/100). What sets it apart are the readings on structural risk (71/100), institutional ownership (62/100), construction/permit lag (37/100). construction/permit lag (37/100) and mortgage stress (24/100) stay muted.
Prices here sit in a peak phase: values rose 2.9% over the trailing year, and 1% higher over three years, at 27/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.
The typical home is worth about $153,500 (3.1× income, relatively affordable). 47% of housing is owner-occupied. 15,031 residents call 35206 home, typically aged 43. Rent burden reaches 52% of tenant households. At $39,051, median income runs below typical U.S. levels. Vacancy runs 19.2%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 24.8% — high, a tax-stress and distress correlate. There are about 7,915 housing units across 35206. Around 19% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 38/100.
Taken together, 35206 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 35206
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 Jefferson County
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Deterministic. Every signal traces to a public dataset · methodology