ZIP 48371 Property Distress & Foreclosure Data
DLRadar grades ZIP 48371 (Oakland County, Michigan) at a moderate 32/100 for overall property distress. Property-level stress concentrates in structural risk (70/100), construction/permit lag (64/100), institutional ownership (45/100). By contrast, mortgage stress (17/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (94/100), flood (NFIP) exposure (79/100). On the structural side it scores 70/100, with 5/100 of stress already active.
The market reads expansion — home values rose 5.6% year on year, and 17% higher over three years (phase confidence 34/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.
The poverty rate is 5.8% — low. Around 42% of adults hold a bachelor's degree or higher. At $108,983, median income runs above typical U.S. levels. Around 50% of renters are cost-burdened. About 26,120 people live here, median age 41. The demographic-stress sub-score lands at 27/100. The ZIP holds roughly 10,169 housing units. The vacancy rate is 2.8%. 88% of housing is owner-occupied. The typical home is worth about $370,200 (3.2× income, relatively affordable).
Net-net, 48371 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.
Distress signal breakdown — ZIP 48371
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 Oakland County
Unlock the full ZIP 48371 acquisition report
Get every distressed property in 48371 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology