ZIP 20777 Property Distress & Foreclosure Data
DLRadar grades ZIP 20777 (Howard County, Maryland) at a low 24/100 for overall property distress. Property-level stress concentrates in construction/permit lag (74/100), structural risk (56/100), institutional ownership (16/100). By contrast, institutional ownership (16/100) and mortgage stress (6/100) register low. On the structural side it scores 56/100, with 2/100 of stress already active. It additionally carries heavy environmental risk: climate & FEMA risk (79/100), flood (NFIP) exposure (69/100).
The market reads peak — home values rose 2.8% year on year, and 21% higher over three years (phase confidence 31/100). Topping markets hide individual distress behind strong averages.
At $218,808, median income runs above typical U.S. levels. The poverty rate is 4.6% — low. About 3,046 people live here, median age 46. Around 76% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 16/100. The typical home is worth about $861,900 (3.7× income, relatively affordable). Around 0% of renters are cost-burdened. The vacancy rate is 2.1%. The ZIP holds roughly 1,117 housing units. 97% of housing is owner-occupied.
Overall 20777 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 20777
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 Howard County
Unlock the full ZIP 20777 acquisition report
Get every distressed property in 20777 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