ZIP 61774 Property Distress & Foreclosure Data
Composite property distress in 61774 (Mclean County, Illinois) lands at 19/100 — low on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (44/100), structural risk (42/100), institutional ownership (6/100). On the quiet end sit institutional ownership (6/100) and mortgage stress (3/100). Environmental exposure also runs high (climate & FEMA risk (88/100)). On the structural side it scores 42/100, with 1/100 of stress already active.
The peak-phase market in 61774 posted values that rose 3.3% over the year, and 40% higher over three years (phase confidence 43/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
The poverty rate is 8.2%. Population is roughly 764 with a median age of 42. At $80,000, median income runs near typical U.S. levels. Around 21% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 19/100. The typical home is worth about $179,800 (1.6× income, relatively affordable). 85% of housing is owner-occupied. The vacancy rate is 20.6% — elevated. Around 4% of renters are cost-burdened. The ZIP holds roughly 434 housing units.
On the whole, 61774 leans distressed, with opportunity clustered in specific 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 61774
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 Mclean County
Unlock the full ZIP 61774 acquisition report
Get every distressed property in 61774 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