ZIP 99785 Property Distress & Foreclosure Data

ZIP code 99785 in Nome County, Alaska carries a composite property-distress score of 20/100 — a low reading on DLRadar's deterministic public-record index. Environmental exposure also runs high (FEMA disaster exposure (73/100)). What sets it apart are the readings on construction/permit lag (83/100), structural risk (44/100), institutional ownership (39/100). On the quiet end sit institutional ownership (39/100) and mortgage stress (20/100). Structural exposure scores 44 and live distress 6 on the 0–100 scale.

The peak-phase market in 99785 posted values that rose 4.2% over the year, at 34/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Population is roughly 691 with a median age of 22. Owners hold 77% of homes, renters 23%. 54.4% of residents fall below the poverty threshold. DLRadar's demographic-stress index for the area reads 34/100. Home values center near $92,900, an affordability ratio of 1.5× — accessible. Educational attainment sits at 6% bachelor's-or-above. There are about 164 housing units across 99785. Rent burden reaches 17% of tenant households. Vacancy runs 6.8%. Median household income is $55,000, below the U.S. median near $78,000.

On the whole, 99785 leans distressed, with opportunity clustered in specific stressed parcels. 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 99785

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