ZIP 91901 Property Distress & Foreclosure Data

Composite property distress in 91901 (San Diego County, California) lands at 34/100 — moderate on DLRadar's public-record scoring. Climate and flood risk are elevated too — climate & FEMA risk (100/100), flood (NFIP) exposure (98/100), FEMA disaster exposure (64/100). The sharpest non-environmental signals are structural risk (75/100), institutional ownership (56/100), construction/permit lag (49/100). mortgage stress (21/100) stay muted. Structural risk reads 75/100 against active distress of 6/100.

Prices here sit in a peak phase: values rose 1.5% over the trailing year, and 15% higher over three years, at 29/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

18,300 residents call 91901 home, typically aged 43. There are about 6,591 housing units across 91901. The typical home is worth about $852,000 (6.9× income). Around 30% of adults hold a bachelor's degree or higher. Vacancy runs 3.1%. Rent burden reaches 45% of tenant households. 75% of housing is owner-occupied. The poverty rate is 10.2%. The demographic-stress sub-score lands at 40/100. At $116,600, median income runs above typical U.S. levels.

Overall, 91901 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

34/100
Composite stress
75/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 91901

Foreclosure activity0
Mortgage stress21
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 San Diego County

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Deterministic. Every signal traces to a public dataset · methodology