ZIP 11941 Property Distress & Foreclosure Data
ZIP code 11941 in Suffolk County, New York carries a composite property-distress score of 36/100 — a moderate reading on DLRadar's deterministic public-record index. Structural risk reads 81/100 against active distress of 7/100. What sets it apart are the readings on structural risk (81/100), construction/permit lag (77/100), institutional ownership (56/100). mortgage stress (22/100) stay muted. Climate and flood risk are elevated too — climate & FEMA risk (98/100), flood (NFIP) exposure (96/100), FEMA disaster exposure (64/100).
Prices here sit in a expansion phase: values rose 6.3% over the trailing year, and 48% higher over three years, at 39/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.
2,472 residents call 11941 home, typically aged 41. A median home runs $705,800 here, or 5.1 times local income. Households earn a median $124,095 — above the roughly $78,000 national figure. Rent burden reaches 58% of tenant households. Vacancy runs 12.9%, above the national norm and a classic distress-and-opportunity signal. There are about 1,096 housing units across 11941. The tenure split is 88% owner-occupied to 12% rented. About 40% have a four-year degree. Roughly 6.3% live below the poverty line, a low share typical of higher-equity areas. On demographic stress specifically, 11941 scores 35/100.
Taken together, 11941 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 11941
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 Suffolk County
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Deterministic. Every signal traces to a public dataset · methodology