ZIP 36432 Property Distress & Foreclosure Data

DLRadar grades ZIP 36432 (Conecuh County, Alabama) at a low 26/100 for overall property distress. Environmental exposure also runs high (FEMA disaster exposure (83/100)). Property-level stress concentrates in construction/permit lag (98/100), structural risk (57/100), institutional ownership (49/100). On the quiet end sit mortgage stress (23/100). Structural exposure scores 57 and live distress 7 on the 0–100 scale.

The peak-phase market in 36432 posted values that rose 4.2% over the year, at 38/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Population is roughly 1,879 with a median age of 57. Roughly 16.8% live below the poverty line, elevated and often tied to deferred-maintenance inventory. A median home runs $64,700 here, or 1.2 times local income. Vacancy runs 28.8%, above the national norm and a classic distress-and-opportunity signal. About 10% have a four-year degree. There are about 1,247 housing units across 36432. The tenure split is 83% owner-occupied to 17% rented. Households earn a median $45,802 — below the roughly $78,000 national figure. On demographic stress specifically, 36432 scores 28/100. Rent burden reaches 45% of tenant households.

On the whole, 36432 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.

26/100
Composite stress
57/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 36432

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 Conecuh County

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Deterministic. Every signal traces to a public dataset · methodology