ZIP 10541 Property Distress & Foreclosure Data

ZIP code 10541 in Putnam County, New York carries a composite property-distress score of 22/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: flood (NFIP) exposure (79/100). The latent-versus-live split is 52/100 structural and 2/100 already moving. What sets it apart are the readings on construction/permit lag (84/100), structural risk (52/100), institutional ownership (19/100). By contrast, institutional ownership (19/100) and mortgage stress (8/100) register low.

The market reads expansion — home values rose 6.3% year on year, and 21% higher over three years (phase confidence 39/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.

The typical home is worth about $508,500 (3.5× income, relatively affordable). The poverty rate is 3.0% — low. At $133,929, median income runs above typical U.S. levels. The demographic-stress sub-score lands at 29/100. Around 62% of renters are cost-burdened. 87% of housing is owner-occupied. Around 43% of adults hold a bachelor's degree or higher. The ZIP holds roughly 9,600 housing units. About 26,137 people live here, median age 43. The vacancy rate is 6.9%.

Overall 10541 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

22/100
Composite stress
52/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 10541

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk52
+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 Putnam County

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Deterministic. Every signal traces to a public dataset · methodology