ZIP 20720 Property Distress & Foreclosure Data

ZIP code 20720 in Prince George'S County, Maryland carries a composite property-distress score of 20/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on structural risk (43/100), institutional ownership (18/100), mortgage stress (7/100). By contrast, institutional ownership (18/100) and mortgage stress (7/100) register low. The latent-versus-live split is 43/100 structural and 2/100 already moving. It additionally carries heavy environmental risk: climate & FEMA risk (93/100), flood (NFIP) exposure (78/100).

The market reads peak — home values rose 2.8% year on year, and 7% higher over three years (phase confidence 32/100). Topping markets hide individual distress behind strong averages.

At $162,976, median income runs above typical U.S. levels. The poverty rate is 2.8% — low. The vacancy rate is 2.2%. About 26,243 people live here, median age 42. The typical home is worth about $564,600 (3.4× income, relatively affordable). Around 59% of adults hold a bachelor's degree or higher. Around 15% of renters are cost-burdened. The ZIP holds roughly 8,441 housing units. The demographic-stress sub-score lands at 19/100. 94% of housing is owner-occupied.

Overall 20720 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.

20/100
Composite stress
43/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 20720

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk93
+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 Prince George'S County

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Deterministic. Every signal traces to a public dataset · methodology