ZIP 87375 Property Distress & Foreclosure Data

Composite property distress in 87375 (Mckinley County, New Mexico) lands at 12/100 — minimal on DLRadar's public-record scoring. It additionally carries heavy environmental risk: climate & FEMA risk (70/100). The sharpest non-environmental signals are structural risk (25/100), mortgage stress (5/100), institutional ownership (5/100). By contrast, mortgage stress (5/100) and institutional ownership (5/100) register low. Structural risk reads 25/100 against active distress of 1/100.

The market reads peak — home values rose 2.8% year on year, at 30/100 phase confidence. Topping markets hide individual distress behind strong averages.

There are about 1,504 housing units across 87375. 96% of housing is owner-occupied. At $35,000, median income runs below typical U.S. levels. Vacancy runs 20.5%, above the national norm and a classic distress-and-opportunity signal. The typical home is worth about $36,600 (1.1× income, relatively affordable). Rent burden reaches 0% of tenant households. Around 5% of adults hold a bachelor's degree or higher. The poverty rate is 39.7% — high, a tax-stress and distress correlate. About 4,547 people live here, median age 38. The demographic-stress sub-score lands at 25/100.

Net-net, 87375 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.

12/100
Composite stress
25/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 87375

Foreclosure activity0
Mortgage stress5
Climate / FEMA risk70
+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 Mckinley County

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Deterministic. Every signal traces to a public dataset · methodology