ZIP 31333 Property Distress & Foreclosure Data
DLRadar grades ZIP 31333 (Liberty County, Georgia) at a moderate 36/100 for overall property distress. Property-level stress concentrates in structural risk (81/100), construction/permit lag (75/100), institutional ownership (71/100). Climate and flood risk are elevated too — FEMA disaster exposure (97/100), climate & FEMA risk (85/100), flood (NFIP) exposure (85/100). On the structural side it scores 81/100, with 0/100 of stress already active.
Prices here sit in a neutral phase: values rose 8.4% over the trailing year, 4.1% off the recent peak (phase confidence 71/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.
40.0% of residents fall below the poverty threshold. Median household income is $29,650, below the U.S. median near $78,000. Educational attainment sits at 32% bachelor's-or-above. The vacancy rate is 29.4% — elevated. 120 residents call 31333 home, typically aged 58. Owners hold 0% of homes, renters 100%. Around 77% of renters are cost-burdened. The ZIP holds roughly 152 housing units. DLRadar's demographic-stress index for the area reads 56/100.
Taken together, 31333 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 31333
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 Liberty County
Unlock the full ZIP 31333 acquisition report
Get every distressed property in 31333 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