ZIP 10454 Property Distress & Foreclosure Data

Composite property distress in 10454 (Bronx County, New York) lands at 27/100 — low on DLRadar's public-record scoring. Structural exposure scores 60 and live distress 2 on the 0–100 scale. It additionally carries heavy environmental risk: climate & FEMA risk (97/100), flood (NFIP) exposure (78/100). The sharpest non-environmental signals are construction/permit lag (63/100), structural risk (60/100), institutional ownership (18/100). By contrast, institutional ownership (18/100) and mortgage stress (7/100) register low.

The market reads expansion — home values rose 6.3% year on year, at 39/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

The typical home is worth about $792,000 (28.4× income, severely stretched). There are about 15,612 housing units across 10454. Vacancy runs 3.2%. The demographic-stress sub-score lands at 65/100. The poverty rate is 42.8% — high, a tax-stress and distress correlate. Around 14% of adults hold a bachelor's degree or higher. About 40,368 people live here, median age 34. Rent burden reaches 51% of tenant households. 6% of housing is owner-occupied. At $27,500, median income runs below typical U.S. levels.

Net-net, 10454 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.

27/100
Composite stress
60/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 10454

Foreclosure activity0
Mortgage stress7
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 Bronx County

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Deterministic. Every signal traces to a public dataset · methodology