ZIP 94971 Property Distress & Foreclosure Data

Composite property distress in 94971 (Marin County, California) lands at 28/100 — low on DLRadar's public-record scoring. Structural exposure scores 64 and live distress 3 on the 0–100 scale. It additionally carries heavy environmental risk: climate & FEMA risk (97/100), flood (NFIP) exposure (88/100). The sharpest non-environmental signals are construction/permit lag (72/100), structural risk (64/100), institutional ownership (20/100). By contrast, institutional ownership (20/100) and mortgage stress (9/100) register low.

The market reads peak — home values rose 1.2% year on year, at 23/100 phase confidence. Topping markets hide individual distress behind strong averages.

The typical home is worth about $883,500 (8.1× income, severely stretched). There are about 166 housing units across 94971. About 315 people live here, median age 62. Vacancy runs 50.3%, above the national norm and a classic distress-and-opportunity signal. Around 63% of adults hold a bachelor's degree or higher. The poverty rate is 38.4% — high, a tax-stress and distress correlate. 76% of housing is owner-occupied. At $109,375, median income runs above typical U.S. levels. The demographic-stress sub-score lands at 44/100. Rent burden reaches 0% of tenant households.

Net-net, 94971 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

28/100
Composite stress
64/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 94971

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk97
+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.

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Deterministic. Every signal traces to a public dataset · methodology