ZIP 91978 Foreclosure, Tax-Lien & Distress Report
San Diego County, California · Distress market
DLRadar grades ZIP 91978 (San Diego County, California) at a moderate 34/100 for overall property distress. Structural risk reads 75/100 against active distress of 6/100. Environmental exposure also runs high (climate & FEMA risk (100/100), flood (NFIP) exposure (98/100), FEMA disaster exposure (64/100)). Property-level stress concentrates in structural risk (75/100), institutional ownership (56/100), construction/permit lag (49/100). On the quiet end sit mortgage stress (21/100).
The peak-phase market in 91978 posted values that rose 1.5% over the year, and 26% higher over three years, at 29/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Population is roughly 10,511 with a median age of 38. Households earn a median $111,506 — above the roughly $78,000 national figure. A median home runs $637,200 here, or 5.4 times local income. The tenure split is 66% owner-occupied to 34% rented. Rent burden reaches 39% of tenant households. About 31% have a four-year degree. Vacancy runs 2.2%. On demographic stress specifically, 91978 scores 37/100. There are about 3,311 housing units across 91978. Roughly 13.4% live below the poverty line.
On balance 91978 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 91978
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 91978 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in San Diego County
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Deterministic. Every signal traces to a public dataset · methodology