ZIP 60927 Property Distress & Foreclosure Data
DLRadar grades ZIP 60927 (Iroquois County, Illinois) at a low 20/100 for overall property distress. It additionally carries heavy environmental risk: climate & FEMA risk (75/100). Property-level stress concentrates in construction/permit lag (81/100), structural risk (43/100), mortgage stress (3/100). By contrast, mortgage stress (3/100) and institutional ownership (3/100) register low. Structural exposure scores 43 and live distress 1 on the 0–100 scale.
The market reads expansion — home values rose 7.4% year on year, and 40% higher over three years, at 38/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
A median home runs $213,700 here, or 2.1 times local income. Vacancy runs 2.8%. There are about 879 housing units across 60927. Households earn a median $92,689 — above the roughly $78,000 national figure. The tenure split is 80% owner-occupied to 20% rented. About 20% have a four-year degree. Roughly 7.9% live below the poverty line. Rent burden reaches 43% of tenant households. About 2,239 people live here, median age 43. On demographic stress specifically, 60927 scores 25/100.
Overall 60927 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.
Distress signal breakdown — ZIP 60927
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 Iroquois County
Unlock the full ZIP 60927 acquisition report
Get every distressed property in 60927 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology