ZIP 30456 Property Distress & Foreclosure Data

DLRadar grades ZIP 30456 (Burke County, Georgia) at a low 28/100 for overall property distress. Structural exposure scores 62 and live distress 10 on the 0–100 scale. Property-level stress concentrates in institutional ownership (88/100), structural risk (62/100), construction/permit lag (53/100). On the quiet end sit mortgage stress (35/100). Environmental exposure also runs high (FEMA disaster exposure (97/100), flood (NFIP) exposure (72/100)).

The expansion-phase market in 30456 posted values that rose 5.6% over the year, at 33/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 17.1%, above the national norm and a classic distress-and-opportunity signal. There are about 1,128 housing units across 30456. The poverty rate is 21.5% — high, a tax-stress and distress correlate. 74% of housing is owner-occupied. Rent burden reaches 13% of tenant households. The demographic-stress sub-score lands at 25/100. Population is roughly 1,851 with a median age of 45. At $53,133, median income runs below typical U.S. levels. The typical home is worth about $87,600 (1.5× income, relatively affordable). Around 4% of adults hold a bachelor's degree or higher.

On the whole, 30456 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.

28/100
Composite stress
62/100
Structural risk
10/100
Distress activity

Distress signal breakdown — ZIP 30456

Foreclosure activity0
Mortgage stress35
Climate / FEMA risk35
+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 Burke County

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Deterministic. Every signal traces to a public dataset · methodology