ZIP 98502 Property Distress & Foreclosure Data

In Thurston County, Washington, ZIP 98502 scores 23 of 100 for composite distress, a low level on DLRadar's public-record index. Climate and flood risk are elevated too — climate & FEMA risk (95/100). Its standout signals are structural risk (48/100), institutional ownership (38/100), mortgage stress (14/100). mortgage stress (14/100) and construction/permit lag (9/100) stay muted. Structural exposure scores 48 and live distress 4 on the 0–100 scale.

Prices here sit in a neutral phase: values rose 4.5% over the trailing year, and 8% higher over three years, at 27/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

The tenure split is 57% owner-occupied to 43% rented. A median home runs $537,200 here, or 5.7 times local income. Vacancy runs 5.8%. About 52% have a four-year degree. 35,043 residents call 98502 home, typically aged 39. Roughly 13.5% live below the poverty line. Rent burden reaches 50% of tenant households. On demographic stress specifically, 98502 scores 37/100. There are about 15,663 housing units across 98502. Households earn a median $87,154 — near the roughly $78,000 national figure.

On balance, 98502 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

23/100
Composite stress
48/100
Structural risk
4/100
Distress activity

Distress signal breakdown — ZIP 98502

Foreclosure activity0
Mortgage stress14
Climate / FEMA risk95
+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 Thurston County

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Deterministic. Every signal traces to a public dataset · methodology