ZIP 95659 Property Distress & Foreclosure Data

DLRadar grades ZIP 95659 (Sutter County, California) at a low 23/100 for overall property distress. Structural risk reads 50/100 against active distress of 5/100. Property-level stress concentrates in structural risk (50/100), institutional ownership (44/100), mortgage stress (16/100). On the quiet end sit mortgage stress (16/100). Environmental exposure also runs high (climate & FEMA risk (83/100), flood (NFIP) exposure (75/100)).

The contraction-phase market in 95659 posted values that fell 0.6% over the year, and 47% higher over three years, at 27/100 phase confidence. Softening prices widen the spread between distressed and market value — what acquisition buyers watch for.

Vacancy runs 9.5%. There are about 281 housing units across 95659. Owners hold 73% of homes, renters 27%. DLRadar's demographic-stress index for the area reads 39/100. Population is roughly 673 with a median age of 41. Rent burden reaches 13% of tenant households. Home values center near $536,900, an affordability ratio of 7.4× — stretched. Educational attainment sits at 25% bachelor's-or-above. Median household income is $67,188, below the U.S. median near $78,000. 11.9% of residents fall below the poverty threshold.

On the whole, 95659 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

23/100
Composite stress
50/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 95659

Foreclosure activity0
Mortgage stress16
Climate / FEMA risk83
+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 Sutter County

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Deterministic. Every signal traces to a public dataset · methodology