ZIP 60012 Property Distress & Foreclosure Data

DLRadar grades ZIP 60012 (Mchenry County, Illinois) at a low 23/100 for overall property distress. Property-level stress concentrates in construction/permit lag (52/100), structural risk (52/100), institutional ownership (13/100). By contrast, institutional ownership (13/100) and mortgage stress (5/100) register low. The latent-versus-live split is 52/100 structural and 2/100 already moving. It additionally carries heavy environmental risk: climate & FEMA risk (92/100).

The market reads expansion — home values rose 6.4% year on year, and 23% higher over three years (phase confidence 36/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.

The ZIP holds roughly 4,491 housing units. Roughly 7.3% live below the poverty line, a low share typical of higher-equity areas. Households earn a median $147,352 — above the roughly $78,000 national figure. Around 44% of renters are cost-burdened. A median home runs $417,300 here, or 2.7 times local income. The vacancy rate is 7.6%. About 11,929 people live here, median age 42. On demographic stress specifically, 60012 scores 23/100. About 56% have a four-year degree. The tenure split is 95% owner-occupied to 5% rented.

Overall 60012 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

23/100
Composite stress
52/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 60012

Foreclosure activity0
Mortgage stress5
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 Mchenry County

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Deterministic. Every signal traces to a public dataset · methodology