ZIP 12733 Property Distress & Foreclosure Data

ZIP code 12733 in Sullivan County, New York carries a composite property-distress score of 17/100 — a low reading on DLRadar's deterministic public-record index. Climate and flood risk are elevated too — climate & FEMA risk (78/100). What sets it apart are the readings on construction/permit lag (53/100), structural risk (37/100), institutional ownership (3/100). structural risk (37/100) and institutional ownership (3/100) stay muted. Structural risk reads 37/100 against active distress of 0/100.

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

1,891 residents call 12733 home, typically aged 39. The tenure split is 14% owner-occupied to 86% rented. There are about 1,097 housing units across 12733. Roughly 84.9% live below the poverty line, elevated and often tied to deferred-maintenance inventory. Vacancy runs 93.1%, above the national norm and a classic distress-and-opportunity signal. On demographic stress specifically, 12733 scores 91/100. Rent burden reaches 100% of tenant households. About 11% have a four-year degree.

Taken together, 12733 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.

17/100
Composite stress
37/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 12733

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk78
+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 Sullivan County

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Deterministic. Every signal traces to a public dataset · methodology