ZIP 95133 Property Distress & Foreclosure Data
Santa Clara County, California's ZIP 95133 registers 20/100 composite distress, which DLRadar reads as low. It additionally carries heavy environmental risk: climate & FEMA risk (100/100), flood (NFIP) exposure (65/100). On the structural side it scores 44/100, with 2/100 of stress already active. The most distinctive pressure shows up in structural risk (44/100), institutional ownership (15/100), mortgage stress (6/100). By contrast, mortgage stress (6/100) and construction/permit lag (3/100) register low.
The market reads peak — home values held roughly flat year on year, and 17% higher over three years (phase confidence 12/100). Topping markets hide individual distress behind strong averages.
At $132,069, median income runs above typical U.S. levels. The vacancy rate is 4.1%. The poverty rate is 11.1%. The demographic-stress sub-score lands at 44/100. Around 37% of renters are cost-burdened. Around 44% of adults hold a bachelor's degree or higher. About 28,561 people live here, median age 38. The typical home is worth about $1,082,400 (8.1× income, severely stretched). 58% of housing is owner-occupied. The ZIP holds roughly 9,671 housing units.
Net-net, 95133 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 95133
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 Santa Clara County
Unlock the full ZIP 95133 acquisition report
Get every distressed property in 95133 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology