ZIP 87114 Property Distress & Foreclosure Data
Bernalillo County, New Mexico's ZIP 87114 registers 22/100 composite distress, which DLRadar reads as low. It additionally carries heavy environmental risk: climate & FEMA risk (94/100), flood (NFIP) exposure (70/100). On the structural side it scores 49/100, with 2/100 of stress already active. The most distinctive pressure shows up in 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.
The market reads peak — home values rose 3.0% year on year, and 15% higher over three years (phase confidence 24/100). Topping markets hide individual distress behind strong averages.
The demographic-stress sub-score lands at 29/100. About 70,064 people live here, median age 37. The poverty rate is 11.2%. Around 41% of renters are cost-burdened. At $81,768, median income runs near typical U.S. levels. Around 39% of adults hold a bachelor's degree or higher. The ZIP holds roughly 28,241 housing units. The typical home is worth about $333,400 (3.6× income, relatively affordable). The vacancy rate is 2.1%. 68% of housing is owner-occupied.
Overall 87114 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.
Distress signal breakdown — ZIP 87114
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 Bernalillo County
Unlock the full ZIP 87114 acquisition report
Get every distressed property in 87114 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology