ZIP 08804 Property Distress & Foreclosure Data

Hunterdon County, New Jersey's ZIP 08804 registers 19/100 composite distress, which DLRadar reads as low. Structural exposure scores 43 and live distress 2 on the 0–100 scale. It additionally carries heavy environmental risk: climate & FEMA risk (83/100), flood (NFIP) exposure (74/100). The most distinctive pressure shows up in structural risk (43/100), institutional ownership (17/100), construction/permit lag (16/100). By contrast, construction/permit lag (16/100) and mortgage stress (6/100) register low.

The market reads expansion — home values rose 6.5% year on year, and 27% higher over three years, at 39/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

There are about 1,361 housing units across 08804. About 44% have a four-year degree. The tenure split is 76% owner-occupied to 24% rented. Households earn a median $106,250 — above the roughly $78,000 national figure. Vacancy runs 4.5%. Roughly 8.5% live below the poverty line. About 3,066 people live here, median age 46. Rent burden reaches 49% of tenant households. A median home runs $462,000 here, or 4.1 times local income. On demographic stress specifically, 08804 scores 31/100.

Overall 08804 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.

19/100
Composite stress
43/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 08804

Foreclosure activity0
Mortgage stress6
Climate / FEMA risk83
+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 Hunterdon County

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Deterministic. Every signal traces to a public dataset · methodology