ZIP 92275 Property Distress & Foreclosure Data

Composite property distress in 92275 (Imperial County, California) lands at 24/100 — low on DLRadar's public-record scoring. Environmental exposure also runs high (climate & FEMA risk (95/100)). The latent-versus-live split is 52/100 structural and 0/100 already moving. The sharpest non-environmental signals are construction/permit lag (93/100), structural risk (52/100), institutional ownership (3/100). On the quiet end sit institutional ownership (3/100).

The expansion-phase market in 92275 posted values that rose 9.1% over the year (phase confidence 53/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

A median home runs $160,700 here, or 3.9 times local income. The vacancy rate is 20.8% — elevated. Households earn a median $35,658 — below the roughly $78,000 national figure. Around 51% of renters are cost-burdened. About 17% have a four-year degree. Population is roughly 1,410 with a median age of 42. The ZIP holds roughly 619 housing units. On demographic stress specifically, 92275 scores 38/100. Roughly 22.6% live below the poverty line, elevated and often tied to deferred-maintenance inventory. The tenure split is 73% owner-occupied to 27% rented.

On the whole, 92275 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

24/100
Composite stress
52/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 92275

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk95
+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 Imperial County

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Deterministic. Every signal traces to a public dataset · methodology