ZIP 93636 Property Distress & Foreclosure Data

ZIP code 93636 in Madera County, California carries a composite property-distress score of 21/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (95/100). The latent-versus-live split is 45/100 structural and 1/100 already moving. What sets it apart are the readings on construction/permit lag (64/100), structural risk (45/100), mortgage stress (3/100). By contrast, mortgage stress (3/100) and institutional ownership (3/100) register low.

The market reads peak — home values rose 1.0% year on year, 2.3% off the recent peak, and 14% higher over three years (phase confidence 34/100). Topping markets hide individual distress behind strong averages.

At $124,024, median income runs above typical U.S. levels. Around 30% of renters are cost-burdened. The typical home is worth about $542,100 (3.9× income, relatively affordable). About 14,777 people live here, median age 38. The demographic-stress sub-score lands at 28/100. Around 39% of adults hold a bachelor's degree or higher. The vacancy rate is 7.5%. 88% of housing is owner-occupied. The poverty rate is 10.3%. The ZIP holds roughly 5,238 housing units.

Net-net, 93636 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.

21/100
Composite stress
45/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 93636

Foreclosure activity0
Mortgage stress3
Climate / FEMA risk95
+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 Madera County

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Deterministic. Every signal traces to a public dataset · methodology