ZIP 92548 Foreclosure, Tax-Lien & Distress Report
Riverside County, California · Distress market
In Riverside County, California, ZIP 92548 scores 36 of 100 for composite distress, a moderate level on DLRadar's public-record index. Environmental exposure also runs high (climate & FEMA risk (100/100), flood (NFIP) exposure (89/100), FEMA disaster exposure (79/100)). Its standout signals are structural risk (79/100), institutional ownership (62/100), construction/permit lag (60/100). On the quiet end sit mortgage stress (24/100). Structural exposure scores 79 and live distress 7 on the 0–100 scale.
The peak-phase market in 92548 posted values that rose 1.5% over the year, and 17% higher over three years, at 25/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Population is roughly 6,435 with a median age of 34. A median home runs $277,700 here, or 4.0 times local income. Roughly 11.1% live below the poverty line. There are about 2,731 housing units across 92548. Vacancy runs 10.6%. Rent burden reaches 35% of tenant households. About 10% have a four-year degree. Households earn a median $54,909 — below the roughly $78,000 national figure. The tenure split is 76% owner-occupied to 24% rented. On demographic stress specifically, 92548 scores 33/100.
On balance 92548 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 92548
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 92548 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in Riverside County
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Deterministic. Every signal traces to a public dataset · methodology