ZIP 48842 Property Distress & Foreclosure Data

ZIP code 48842 in Ingham County, Michigan carries a composite property-distress score of 25/100 — a low reading on DLRadar's deterministic public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (87/100), flood (NFIP) exposure (86/100). What sets it apart are the readings on structural risk (55/100), institutional ownership (51/100), mortgage stress (19/100). By contrast, mortgage stress (19/100) and construction/permit lag (1/100) register low. Structural risk reads 55/100 against active distress of 6/100.

The market reads expansion — home values rose 5.2% year on year, and 14% higher over three years, at 38/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

There are about 10,042 housing units across 48842. 66% of housing is owner-occupied. The typical home is worth about $225,900 (2.4× income, relatively affordable). The demographic-stress sub-score lands at 26/100. At $86,830, median income runs near typical U.S. levels. Rent burden reaches 37% of tenant households. About 21,504 people live here, median age 39. The poverty rate is 11.8%. Vacancy runs 5.9%. Around 39% of adults hold a bachelor's degree or higher.

Net-net, 48842 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.

25/100
Composite stress
55/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 48842

Foreclosure activity0
Mortgage stress19
Climate / FEMA risk87
+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 Ingham County

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Deterministic. Every signal traces to a public dataset · methodology