ZIP 79932 Property Distress & Foreclosure Data
Composite property distress in 79932 (El Paso County, Texas) lands at 26/100 — low on DLRadar's public-record scoring. Structural risk reads 58/100 against active distress of 2/100. The sharpest non-environmental signals are structural risk (58/100), construction/permit lag (57/100), institutional ownership (18/100). By contrast, institutional ownership (18/100) and mortgage stress (8/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (94/100), flood (NFIP) exposure (81/100).
The market reads peak — home values rose 2.2% year on year, and 22% higher over three years, at 34/100 phase confidence. Topping markets hide individual distress behind strong averages.
72% of housing is owner-occupied. There are about 11,394 housing units across 79932. At $76,789, median income runs near typical U.S. levels. Rent burden reaches 43% of tenant households. About 29,524 people live here, median age 36. Vacancy runs 6.5%. The poverty rate is 11.6%. The demographic-stress sub-score lands at 29/100. The typical home is worth about $267,200 (3.3× income, relatively affordable). Around 43% of adults hold a bachelor's degree or higher.
Net-net, 79932 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 79932
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 El Paso County
Unlock the full ZIP 79932 acquisition report
Get every distressed property in 79932 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