ZIP 48767 Property Distress & Foreclosure Data

In Tuscola County, Michigan, ZIP 48767 scores 16 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (71/100). Its standout signals are construction/permit lag (48/100), structural risk (34/100), mortgage stress (3/100). By contrast, mortgage stress (3/100) and institutional ownership (3/100) register low. Structural exposure scores 34 and live distress 1 on the 0–100 scale.

The market reads expansion — home values rose 6.4% year on year, and 26% higher over three years, at 37/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

About 2,041 people live here, median age 49. Around 12% of adults hold a bachelor's degree or higher. The typical home is worth about $123,100 (1.7× income, relatively affordable). 86% of housing is owner-occupied. There are about 977 housing units across 48767. The poverty rate is 7.0% — low. Vacancy runs 11.9%, above the national norm and a classic distress-and-opportunity signal. The demographic-stress sub-score lands at 29/100. At $74,469, median income runs near typical U.S. levels. Rent burden reaches 75% of tenant households.

Net-net, 48767 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

16/100
Composite stress
34/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 48767

Foreclosure activity0
Mortgage stress3
Climate / FEMA risk71
+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 Tuscola County

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Deterministic. Every signal traces to a public dataset · methodology