ZIP 98819 Property Distress & Foreclosure Data

DLRadar grades ZIP 98819 (Okanogan County, Washington) at a low 26/100 for overall property distress. Environmental exposure also runs high (climate & FEMA risk (87/100), FEMA disaster exposure (64/100)). On the structural side it scores 54/100, with 5/100 of stress already active. Property-level stress concentrates in construction/permit lag (60/100), structural risk (54/100), institutional ownership (35/100). On the quiet end sit institutional ownership (35/100) and mortgage stress (16/100).

The peak-phase market in 98819 posted values that rose 3.1% over the year (phase confidence 28/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

29.8% of residents fall below the poverty threshold. DLRadar's demographic-stress index for the area reads 51/100. Around 78% of renters are cost-burdened. Home values center near $219,400, an affordability ratio of 5.6×. Median household income is $38,295, below the U.S. median near $78,000. Owners hold 78% of homes, renters 22%. Population is roughly 208 with a median age of 61. The vacancy rate is 54.0% — elevated. Educational attainment sits at 16% bachelor's-or-above. The ZIP holds roughly 209 housing units.

On the whole, 98819 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.

26/100
Composite stress
54/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 98819

Foreclosure activity0
Mortgage stress16
Climate / FEMA risk87
+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 Okanogan County

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Deterministic. Every signal traces to a public dataset · methodology