ZIP 30669 Property Distress & Foreclosure Data

Composite property distress in 30669 (Greene County, Georgia) lands at 18/100 — low on DLRadar's public-record scoring. Structural exposure scores 39 and live distress 7 on the 0–100 scale. The sharpest non-environmental signals are institutional ownership (50/100), construction/permit lag (45/100), structural risk (39/100). On the quiet end sit structural risk (39/100) and mortgage stress (22/100). Environmental exposure also runs high (FEMA disaster exposure (93/100)).

The peak-phase market in 30669 posted values that rose 3.8% over the year, at 30/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Population is roughly 3,071 with a median age of 40. 70% of housing is owner-occupied. The typical home is worth about $103,300 (1.7× income, relatively affordable). Around 14% of adults hold a bachelor's degree or higher. Vacancy runs 26.1%, above the national norm and a classic distress-and-opportunity signal. There are about 1,302 housing units across 30669. The demographic-stress sub-score lands at 24/100. Rent burden reaches 10% of tenant households. At $59,000, median income runs below typical U.S. levels. The poverty rate is 10.7%.

On the whole, 30669 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.

18/100
Composite stress
39/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 30669

Foreclosure activity0
Mortgage stress22
Climate / FEMA risk27
+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 Greene County

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Deterministic. Every signal traces to a public dataset · methodology