ZIP 78594 Property Distress & Foreclosure Data

In Willacy County, Texas, ZIP 78594 scores 29 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: flood (NFIP) exposure (89/100), FEMA disaster exposure (81/100), climate & FEMA risk (70/100). The latent-versus-live split is 65/100 structural and 8/100 already moving. Its standout signals are structural risk (65/100), institutional ownership (63/100), construction/permit lag (38/100). By contrast, construction/permit lag (38/100) and mortgage stress (26/100) register low.

The market reads peak — home values rose 1.1% year on year (phase confidence 18/100). Topping markets hide individual distress behind strong averages.

The typical home is worth about $38,300 (1.6× income, relatively affordable). The ZIP holds roughly 559 housing units. At $24,388, median income runs below typical U.S. levels. Around 79% of renters are cost-burdened. About 1,303 people live here, median age 42. The vacancy rate is 8.8%. Around 7% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 38/100. The poverty rate is 38.7% — high, a tax-stress and distress correlate. 73% of housing is owner-occupied.

Net-net, 78594 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.

29/100
Composite stress
65/100
Structural risk
8/100
Distress activity

Distress signal breakdown — ZIP 78594

Foreclosure activity0
Mortgage stress26
Climate / FEMA risk70
+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 Willacy County

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Deterministic. Every signal traces to a public dataset · methodology