ZIP 48532 Property Distress & Foreclosure Data

In Genesee County, Michigan, ZIP 48532 scores 24 of 100 for composite distress, a low level on DLRadar's public-record index. Climate and flood risk are elevated too — climate & FEMA risk (92/100), flood (NFIP) exposure (88/100). Its standout signals are structural risk (54/100), construction/permit lag (37/100), institutional ownership (20/100). institutional ownership (20/100) and mortgage stress (9/100) stay muted. Structural exposure scores 54 and live distress 3 on the 0–100 scale.

Prices here sit in a expansion phase: values rose 6.8% over the trailing year, and 6% higher over three years, at 42/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

19,750 residents call 48532 home, typically aged 41. The tenure split is 60% owner-occupied to 40% rented. Vacancy runs 9.7%. Rent burden reaches 43% of tenant households. A median home runs $169,200 here, or 2.7 times local income. On demographic stress specifically, 48532 scores 31/100. There are about 9,157 housing units across 48532. Households earn a median $58,118 — below the roughly $78,000 national figure. Roughly 13.7% live below the poverty line. About 19% have a four-year degree.

Overall, 48532 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

24/100
Composite stress
54/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 48532

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk92
+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 Genesee County

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Deterministic. Every signal traces to a public dataset · methodology