ZIP 60969 Property Distress & Foreclosure Data

Composite property distress in 60969 (Kankakee County, Illinois) lands at 21/100 — low on DLRadar's public-record scoring. Structural risk reads 46/100 against active distress of 2/100. The sharpest non-environmental signals are structural risk (46/100), construction/permit lag (20/100), institutional ownership (17/100). By contrast, institutional ownership (17/100) and mortgage stress (8/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (88/100), flood (NFIP) exposure (75/100).

The market reads peak — home values rose 2.6% year on year, at 34/100 phase confidence. Topping markets hide individual distress behind strong averages.

There are about 28 housing units across 60969. Households earn a median $117,750 — above the roughly $78,000 national figure. About 66 people live here, median age 43. The tenure split is 89% owner-occupied to 11% rented. On demographic stress specifically, 60969 scores 12/100. Rent burden reaches 0% of tenant households. A median home runs $158,300 here, or 1.3 times local income. Roughly 3.1% live below the poverty line, a low share typical of higher-equity areas. Vacancy runs 0.0%. About 46% have a four-year degree.

Overall 60969 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.

21/100
Composite stress
46/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 60969

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk88
+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 Kankakee County

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Deterministic. Every signal traces to a public dataset · methodology