ZIP 99517 Property Distress & Foreclosure Data

Composite property distress in 99517 (Anchorage County, Alaska) lands at 22/100 — low on DLRadar's public-record scoring. It additionally carries heavy environmental risk: climate & FEMA risk (98/100), flood (NFIP) exposure (64/100). The latent-versus-live split is 49/100 structural and 2/100 already moving. The sharpest non-environmental signals are structural risk (49/100), construction/permit lag (29/100), institutional ownership (15/100). By contrast, institutional ownership (15/100) and mortgage stress (7/100) register low.

The market reads expansion — home values rose 7.0% year on year, and 11% higher over three years (phase confidence 51/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.

Around 29% of renters are cost-burdened. The poverty rate is 9.6%. At $99,307, median income runs above typical U.S. levels. The vacancy rate is 13.7% — elevated. The demographic-stress sub-score lands at 29/100. 60% of housing is owner-occupied. The ZIP holds roughly 7,782 housing units. About 16,567 people live here, median age 39. Around 41% of adults hold a bachelor's degree or higher. The typical home is worth about $402,100 (3.7× income, relatively affordable).

Net-net, 99517 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.

22/100
Composite stress
49/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 99517

Foreclosure activity0
Mortgage stress7
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 Anchorage County

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Deterministic. Every signal traces to a public dataset · methodology