ZIP 87579 Foreclosure, Tax-Lien & Distress Report
Taos County, New Mexico · High Vacancy market
Taos County, New Mexico's ZIP 87579 registers 18/100 composite distress, which DLRadar reads as low. It additionally carries heavy environmental risk: climate & FEMA risk (69/100). The most distinctive pressure shows up in construction/permit lag (69/100), structural risk (38/100), mortgage stress (6/100). By contrast, mortgage stress (6/100) and institutional ownership (3/100) register low. Structural exposure scores 38 and live distress 2 on the 0–100 scale.
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.
About 1,328 people live here, median age 55. The poverty rate is 18.2% — high, a tax-stress and distress correlate. The typical home is worth about $154,400 (2.0× income, relatively affordable). 82% of housing is owner-occupied. Vacancy runs 32.8%, above the national norm and a classic distress-and-opportunity signal. There are about 717 housing units across 87579. Rent burden reaches 19% of tenant households. At $63,904, median income runs below typical U.S. levels. The demographic-stress sub-score lands at 27/100. Around 12% of adults hold a bachelor's degree or higher.
Net-net, 87579 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.
Distress signal breakdown — ZIP 87579
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.
ZIP 87579 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in Taos County
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Deterministic. Every signal traces to a public dataset · methodology