ZIP 60102 Property Distress & Foreclosure Data

DLRadar grades ZIP 60102 (Mchenry County, Illinois) at a low 22/100 for overall property distress. It additionally carries heavy environmental risk: climate & FEMA risk (93/100). On the structural side it scores 49/100, with 1/100 of stress already active. Property-level stress concentrates in construction/permit lag (51/100), structural risk (49/100), institutional ownership (11/100). By contrast, institutional ownership (11/100) and mortgage stress (4/100) register low.

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.

Roughly 4.3% live below the poverty line, a low share typical of higher-equity areas. Around 30% of renters are cost-burdened. The tenure split is 88% owner-occupied to 12% rented. About 43% have a four-year degree. Households earn a median $128,070 — above the roughly $78,000 national figure. About 32,303 people live here, median age 42. On demographic stress specifically, 60102 scores 21/100. The ZIP holds roughly 12,113 housing units. The vacancy rate is 2.4%. A median home runs $349,900 here, or 2.5 times local income.

Overall 60102 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.

22/100
Composite stress
49/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 60102

Foreclosure activity0
Mortgage stress4
Climate / FEMA risk93
+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