ZIP 20609 Property Distress & Foreclosure Data
In St. Mary'S County, Maryland, ZIP 20609 scores 17 of 100 for composite distress, a low level on DLRadar's public-record index. Its standout signals are construction/permit lag (44/100), structural risk (40/100), institutional ownership (16/100). By contrast, institutional ownership (16/100) and mortgage stress (7/100) register low. On the structural side it scores 40/100, with 2/100 of stress already active. It additionally carries heavy environmental risk: flood (NFIP) exposure (68/100).
The market reads peak — home values rose 4.6% year on year, 1.9% off the recent peak, and 24% higher over three years (phase confidence 24/100). Topping markets hide individual distress behind strong averages.
At $114,181, median income runs above typical U.S. levels. About 976 people live here, median age 57. 92% of housing is owner-occupied. Around 50% of renters are cost-burdened. The poverty rate is 1.9% — low. Around 21% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 31/100. The vacancy rate is 13.3% — elevated. The ZIP holds roughly 370 housing units. The typical home is worth about $568,400 (4.2× income).
Net-net, 20609 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 20609
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 St. Mary'S County
Unlock the full ZIP 20609 acquisition report
Get every distressed property in 20609 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