ZIP 87102 Foreclosure, Tax-Lien & Distress Report
Bernalillo County, New Mexico · High Poverty market
In Bernalillo County, New Mexico, ZIP 87102 scores 22 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (94/100), flood (NFIP) exposure (70/100). Its standout signals are structural risk (49/100), construction/permit lag (29/100), institutional ownership (16/100). By contrast, institutional ownership (16/100) and mortgage stress (7/100) register low. Structural exposure scores 49 and live distress 2 on the 0–100 scale.
The market reads peak — home values rose 3.0% year on year, and 21% higher over three years, at 24/100 phase confidence. Topping markets hide individual distress behind strong averages.
36% of housing is owner-occupied. There are about 11,505 housing units across 87102. The demographic-stress sub-score lands at 42/100. At $37,276, median income runs below typical U.S. levels. Vacancy runs 10.7%. The poverty rate is 28.9% — high, a tax-stress and distress correlate. About 20,258 people live here, median age 36. Rent burden reaches 51% of tenant households. The typical home is worth about $197,300 (4.7× income). Around 34% of adults hold a bachelor's degree or higher.
Net-net, 87102 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 87102
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 87102 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in Bernalillo County
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Deterministic. Every signal traces to a public dataset · methodology