ZIP 36048 Property Distress & Foreclosure Data

ZIP code 36048 in Barbour County, Alabama carries a composite property-distress score of 25/100 — a low reading on DLRadar's deterministic public-record index. Environmental exposure also runs high (FEMA disaster exposure (83/100)). On the structural side it scores 56/100, with 7/100 of stress already active. What sets it apart are the readings on construction/permit lag (100/100), structural risk (56/100), institutional ownership (54/100). On the quiet end sit mortgage stress (23/100).

The peak-phase market in 36048 posted values that rose 3.5% over the year (phase confidence 32/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

About 9% have a four-year degree. Around 41% of renters are cost-burdened. Households earn a median $27,137 — below the roughly $78,000 national figure. A median home runs $78,900 here, or 3.8 times local income. The tenure split is 74% owner-occupied to 27% rented. Population is roughly 1,248 with a median age of 50. Roughly 22.1% live below the poverty line, elevated and often tied to deferred-maintenance inventory. The vacancy rate is 24.8% — elevated. On demographic stress specifically, 36048 scores 36/100. The ZIP holds roughly 821 housing units.

On the whole, 36048 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

25/100
Composite stress
56/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 36048

Foreclosure activity0
Mortgage stress23
Climate / FEMA risk39
+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 Barbour County

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Deterministic. Every signal traces to a public dataset · methodology