ZIP 61771 Property Distress & Foreclosure Data

ZIP code 61771 in Woodford County, Illinois carries a composite property-distress score of 13/100 — a minimal reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (50/100), structural risk (29/100), institutional ownership (3/100). On the quiet end sit institutional ownership (3/100) and mortgage stress (2/100). Structural risk reads 29/100 against active distress of 1/100.

The expansion-phase market in 61771 posted values that rose 5.8% over the year, 1.2% off the recent peak, at 40/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 964 with a median age of 44. At $86,250, median income runs near typical U.S. levels. There are about 466 housing units across 61771. Rent burden reaches 39% of tenant households. 96% of housing is owner-occupied. The poverty rate is 2.4% — low. The typical home is worth about $317,900 (3.1× income, relatively affordable). Around 42% of adults hold a bachelor's degree or higher. Vacancy runs 17.5%, above the national norm and a classic distress-and-opportunity signal. The demographic-stress sub-score lands at 25/100.

On the whole, 61771 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.

13/100
Composite stress
29/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 61771

Foreclosure activity0
Mortgage stress2
Climate / FEMA risk52
+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