ZIP 48380 Property Distress & Foreclosure Data
DLRadar grades ZIP 48380 (Oakland County, Michigan) at a moderate 32/100 for overall property distress. Property-level stress concentrates in structural risk (72/100), construction/permit lag (62/100), institutional ownership (51/100). By contrast, mortgage stress (19/100) register low. The latent-versus-live split is 72/100 structural and 6/100 already moving. It additionally carries heavy environmental risk: climate & FEMA risk (91/100), flood (NFIP) exposure (88/100).
The market reads expansion — home values rose 5.6% year on year, and 21% higher over three years (phase confidence 34/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.
The demographic-stress sub-score lands at 18/100. The ZIP holds roughly 2,639 housing units. Around 46% of adults hold a bachelor's degree or higher. About 7,501 people live here, median age 49. The poverty rate is 6.1% — low. The typical home is worth about $447,000 (3.3× income, relatively affordable). At $133,224, median income runs above typical U.S. levels. 100% of housing is owner-occupied. Around 0% of renters are cost-burdened. The vacancy rate is 2.7%.
Net-net, 48380 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 48380
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 48380 acquisition report
Get every distressed property in 48380 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