ZIP 96777 Property Distress & Foreclosure Data

Hawaii County, Hawaii's ZIP 96777 registers 26/100 composite distress, which DLRadar reads as low. Structural risk reads 60/100 against active distress of 3/100. It additionally carries heavy environmental risk: climate & FEMA risk (98/100), flood (NFIP) exposure (89/100). The most distinctive pressure shows up in structural risk (60/100), construction/permit lag (53/100), institutional ownership (20/100). By contrast, institutional ownership (20/100) and mortgage stress (11/100) register low.

The market reads expansion — home values rose 7.1% year on year, at 66/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

The typical home is worth about $233,200 (3.6× income, relatively affordable). Rent burden reaches 0% of tenant households. 84% of housing is owner-occupied. Around 25% of adults hold a bachelor's degree or higher. There are about 571 housing units across 96777. At $63,438, median income runs below typical U.S. levels. About 1,838 people live here, median age 32. The demographic-stress sub-score lands at 25/100. Vacancy runs 13.3%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 9.1%.

Net-net, 96777 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.

26/100
Composite stress
60/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 96777

Foreclosure activity0
Mortgage stress11
Climate / FEMA risk98
+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 Hawaii County

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Deterministic. Every signal traces to a public dataset · methodology