ZIP 95439 Property Distress & Foreclosure Data

Composite property distress in 95439 (Sonoma County, California) lands at 21/100 — low on DLRadar's public-record scoring. It additionally carries heavy environmental risk: climate & FEMA risk (99/100), flood (NFIP) exposure (88/100). The sharpest non-environmental signals are structural risk (47/100), institutional ownership (20/100), construction/permit lag (1/100). By contrast, institutional ownership (20/100) and construction/permit lag (1/100) register low. Structural risk reads 47/100 against active distress of 0/100.

The market reads peak — home values held roughly flat year on year, at 20/100 phase confidence. Topping markets hide individual distress behind strong averages.

There are about 236 housing units across 95439. The typical home is worth about $721,700 (5.0× income). At $165,216, median income runs above typical U.S. levels. Rent burden reaches 52% of tenant households. 88% of housing is owner-occupied. The poverty rate is 14.7%. About 708 people live here, median age 58. The demographic-stress sub-score lands at 37/100. Vacancy runs 19.5%, above the national norm and a classic distress-and-opportunity signal. Around 23% of adults hold a bachelor's degree or higher.

Net-net, 95439 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.

21/100
Composite stress
47/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 95439

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk99
+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 Sonoma County

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Deterministic. Every signal traces to a public dataset · methodology