ZIP 07104 Property Distress & Foreclosure Data

In Essex County, New Jersey, ZIP 07104 scores 25 of 100 for composite distress, a low level on DLRadar's public-record index. Environmental exposure also runs high (climate & FEMA risk (97/100), flood (NFIP) exposure (89/100)). Its standout signals are structural risk (55/100), construction/permit lag (35/100), institutional ownership (20/100). On the quiet end sit institutional ownership (20/100) and mortgage stress (8/100). Structural risk reads 55/100 against active distress of 2/100.

The expansion-phase market in 07104 posted values that rose 6.0% over the year, and 11% higher over three years, at 43/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 54,277 with a median age of 36. The typical home is worth about $388,800 (6.6× income). Vacancy runs 4.3%. The poverty rate is 22.7% — high, a tax-stress and distress correlate. At $51,199, median income runs below typical U.S. levels. The demographic-stress sub-score lands at 48/100. 25% of housing is owner-occupied. Around 21% of adults hold a bachelor's degree or higher. There are about 21,318 housing units across 07104. Rent burden reaches 48% of tenant households.

On the whole, 07104 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

25/100
Composite stress
55/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 07104

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk97
+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 Essex County

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Deterministic. Every signal traces to a public dataset · methodology