ZIP 48176 Property Distress & Foreclosure Data

ZIP code 48176 in Washtenaw County, Michigan carries a composite property-distress score of 21/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (90/100), flood (NFIP) exposure (89/100). What sets it apart are the readings on structural risk (48/100), institutional ownership (20/100), construction/permit lag (15/100). By contrast, construction/permit lag (15/100) and mortgage stress (8/100) register low. Structural exposure scores 48 and live distress 2 on the 0–100 scale.

The market reads peak — home values rose 3.0% year on year, and 16% higher over three years, at 29/100 phase confidence. Topping markets hide individual distress behind strong averages.

About 23,325 people live here, median age 45. 84% of housing is owner-occupied. The typical home is worth about $408,300 (3.5× income, relatively affordable). There are about 9,352 housing units across 48176. The poverty rate is 5.0% — low. Vacancy runs 3.7%. The demographic-stress sub-score lands at 24/100. Rent burden reaches 38% of tenant households. Around 58% of adults hold a bachelor's degree or higher. At $110,987, median income runs above typical U.S. levels.

Overall 48176 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

21/100
Composite stress
48/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 48176

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk90
+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 Washtenaw County

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Deterministic. Every signal traces to a public dataset · methodology