ZIP 99772 Property Distress & Foreclosure Data

In Nome County, Alaska, ZIP 99772 scores 20 of 100 for composite distress, a low level on DLRadar's public-record index. Structural risk reads 44/100 against active distress of 6/100. It additionally carries heavy environmental risk: FEMA disaster exposure (73/100). Its standout signals are construction/permit lag (83/100), structural risk (44/100), institutional ownership (39/100). By contrast, institutional ownership (39/100) and mortgage stress (20/100) register low.

The market reads peak — home values rose 4.2% year on year, at 34/100 phase confidence. Topping markets hide individual distress behind strong averages.

About 462 people live here, median age 34. At $62,083, median income runs below typical U.S. levels. The typical home is worth about $109,400 (1.9× income, relatively affordable). Rent burden reaches 0% of tenant households. 67% of housing is owner-occupied. Around 12% of adults hold a bachelor's degree or higher. Vacancy runs 47.6%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 23.2% — high, a tax-stress and distress correlate. There are about 211 housing units across 99772. The demographic-stress sub-score lands at 29/100.

Net-net, 99772 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.

20/100
Composite stress
44/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 99772

Foreclosure activity0
Mortgage stress20
Climate / FEMA risk26
+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 Nome County

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Deterministic. Every signal traces to a public dataset · methodology