ZIP 04655 Property Distress & Foreclosure Data

Washington County, Maine's ZIP 04655 registers 19/100 composite distress, which DLRadar reads as low. Structural risk reads 43/100 against active distress of 7/100. It additionally carries heavy environmental risk: flood (NFIP) exposure (72/100), FEMA disaster exposure (64/100). The most distinctive pressure shows up in institutional ownership (50/100), structural risk (43/100), mortgage stress (24/100). By contrast, mortgage stress (24/100) and construction/permit lag (10/100) register low.

The market reads expansion — home values rose 6.1% year on year, at 43/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

The typical home is worth about $177,100 (3.7× income, relatively affordable). At $52,188, median income runs below typical U.S. levels. About 1,001 people live here, median age 48. Rent burden reaches 23% of tenant households. 77% of housing is owner-occupied. There are about 706 housing units across 04655. Around 25% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 31/100. Vacancy runs 37.9%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 11.3%.

Net-net, 04655 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.

19/100
Composite stress
43/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 04655

Foreclosure activity0
Mortgage stress24
Climate / FEMA risk43
+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 Washington County

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Deterministic. Every signal traces to a public dataset · methodology