ZIP 93249 Property Distress & Foreclosure Data

ZIP code 93249 in Kern County, California carries a composite property-distress score of 31/100 — a moderate reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (99/100), flood (NFIP) exposure (70/100), FEMA disaster exposure (64/100). On the structural side it scores 68/100, with 6/100 of stress already active. What sets it apart are the readings on structural risk (68/100), institutional ownership (50/100), construction/permit lag (48/100). By contrast, mortgage stress (19/100) register low.

The market reads peak — home values rose 2.0% year on year (phase confidence 21/100). Topping markets hide individual distress behind strong averages.

At $43,224, median income runs below typical U.S. levels. The vacancy rate is 10.6%. About 2,164 people live here, median age 24. Around 3% of adults hold a bachelor's degree or higher. Around 28% of renters are cost-burdened. 32% of housing is owner-occupied. The ZIP holds roughly 617 housing units. The demographic-stress sub-score lands at 41/100. The poverty rate is 24.6% — high, a tax-stress and distress correlate. The typical home is worth about $170,300 (3.8× income, relatively affordable).

Net-net, 93249 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.

31/100
Composite stress
68/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 93249

Foreclosure activity0
Mortgage stress19
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 Kern County

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Deterministic. Every signal traces to a public dataset · methodology