ZIP 92260 Property Distress & Foreclosure Data

DLRadar grades ZIP 92260 (Riverside County, California) at a moderate 36/100 for overall property distress. Property-level stress concentrates in structural risk (79/100), institutional ownership (62/100), construction/permit lag (60/100). On the quiet end sit mortgage stress (24/100). The latent-versus-live split is 79/100 structural and 7/100 already moving. Environmental exposure also runs high (climate & FEMA risk (100/100), flood (NFIP) exposure (89/100), FEMA disaster exposure (79/100)).

The peak-phase market in 92260 posted values that rose 1.5% over the year, and 6% higher over three years (phase confidence 25/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

The vacancy rate is 32.9% — elevated. Roughly 13.3% live below the poverty line. The tenure split is 63% owner-occupied to 37% rented. About 38% have a four-year degree. Households earn a median $72,252 — near the roughly $78,000 national figure. A median home runs $489,500 here, or 6.4 times local income. Around 52% of renters are cost-burdened. On demographic stress specifically, 92260 scores 43/100. Population is roughly 30,751 with a median age of 58. The ZIP holds roughly 21,919 housing units.

On the whole, 92260 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.

36/100
Composite stress
79/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 92260

Foreclosure activity0
Mortgage stress24
Climate / FEMA risk100
+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 Riverside County

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Deterministic. Every signal traces to a public dataset · methodology