ZIP 30096 Property Distress & Foreclosure Data
DLRadar grades ZIP 30096 (Gwinnett County, Georgia) at a moderate 34/100 for overall property distress. Environmental exposure also runs high (climate & FEMA risk (96/100), flood (NFIP) exposure (76/100), FEMA disaster exposure (73/100)). Property-level stress concentrates in structural risk (76/100), construction/permit lag (69/100), institutional ownership (56/100). On the quiet end sit mortgage stress (20/100). Structural exposure scores 76 and live distress 6 on the 0–100 scale.
The peak-phase market in 30096 posted values that rose 2.9% over the year, and 19% higher over three years, at 25/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
43% of housing is owner-occupied. The poverty rate is 11.4%. There are about 29,496 housing units across 30096. Rent burden reaches 46% of tenant households. Vacancy runs 3.7%. The demographic-stress sub-score lands at 35/100. The typical home is worth about $375,200 (4.5× income). At $75,478, median income runs near typical U.S. levels. Population is roughly 71,141 with a median age of 36. Around 42% of adults hold a bachelor's degree or higher.
On balance 30096 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 30096
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 Gwinnett County
Unlock the full ZIP 30096 acquisition report
Get every distressed property in 30096 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology