ZIP 10306 Property Distress & Foreclosure Data

Richmond County, New York's ZIP 10306 registers 23/100 composite distress, which DLRadar reads as low. Structural risk reads 53/100 against active distress of 2/100. The most distinctive pressure shows up in structural risk (53/100), construction/permit lag (44/100), institutional ownership (17/100). institutional ownership (17/100) and mortgage stress (7/100) stay muted. Climate and flood risk are elevated too — climate & FEMA risk (90/100), flood (NFIP) exposure (77/100).

Prices here sit in a expansion phase: values rose 6.3% over the trailing year, and 16% higher over three years, at 39/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

57,249 residents call 10306 home, typically aged 42. On demographic stress specifically, 10306 scores 41/100. A median home runs $693,900 here, or 6.9 times local income. The tenure split is 71% owner-occupied to 29% rented. There are about 21,383 housing units across 10306. Rent burden reaches 47% of tenant households. About 34% have a four-year degree. Roughly 8.9% live below the poverty line. Vacancy runs 6.8%. Households earn a median $97,746 — above the roughly $78,000 national figure.

On balance, 10306 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

23/100
Composite stress
53/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 10306

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk90
+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 Richmond County

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Deterministic. Every signal traces to a public dataset · methodology