ZIP 61742 Property Distress & Foreclosure Data

Composite property distress in 61742 (Woodford County, Illinois) lands at 13/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are construction/permit lag (47/100), structural risk (28/100), institutional ownership (3/100). institutional ownership (3/100) and mortgage stress (2/100) stay muted. Structural risk reads 28/100 against active distress of 1/100.

Prices here sit in a expansion phase: values rose 5.8% over the trailing year, 1.2% off the recent peak, and 20% higher over three years, at 40/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

Home values center near $240,000, an affordability ratio of 2.2× — accessible. Median household income is $108,854, above the U.S. median near $78,000. 1,506 residents call 61742 home, typically aged 41. Vacancy runs 0.9%. Owners hold 91% of homes, renters 9%. Rent burden reaches 10% of tenant households. There are about 554 housing units across 61742. DLRadar's demographic-stress index for the area reads 19/100. Educational attainment sits at 34% bachelor's-or-above. 11.6% of residents fall below the poverty threshold.

On balance, 61742 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

13/100
Composite stress
28/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 61742

Foreclosure activity0
Mortgage stress2
Climate / FEMA risk53
+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 Woodford County

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Deterministic. Every signal traces to a public dataset · methodology