ZIP 60013 Property Distress & Foreclosure Data

Composite property distress in 60013 (Mchenry County, Illinois) lands at 24/100 — low on DLRadar's public-record scoring. Structural exposure scores 53 and live distress 2 on the 0–100 scale. Environmental exposure also runs high (climate & FEMA risk (93/100), flood (NFIP) exposure (60/100)). The sharpest non-environmental signals are structural risk (53/100), construction/permit lag (52/100), institutional ownership (14/100). On the quiet end sit institutional ownership (14/100) and mortgage stress (6/100).

The expansion-phase market in 60013 posted values that rose 6.4% over the year, and 23% higher over three years, at 36/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Vacancy runs 2.8%. There are about 10,224 housing units across 60013. The typical home is worth about $314,400 (2.5× income, relatively affordable). Around 44% of adults hold a bachelor's degree or higher. Population is roughly 26,503 with a median age of 40. The demographic-stress sub-score lands at 24/100. 88% of housing is owner-occupied. At $115,833, median income runs above typical U.S. levels. Rent burden reaches 50% of tenant households. The poverty rate is 4.1% — low.

Broadly, 60013 is a steadier market — the deals are the exceptions, not the rule. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

24/100
Composite stress
53/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 60013

Foreclosure activity0
Mortgage stress6
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