ZIP 61724 Property Distress & Foreclosure Data

Composite property distress in 61724 (Mclean County, Illinois) lands at 19/100 — low on DLRadar's public-record scoring. Climate and flood risk are elevated too — climate & FEMA risk (88/100). The sharpest non-environmental signals are construction/permit lag (44/100), structural risk (42/100), institutional ownership (6/100). institutional ownership (6/100) and mortgage stress (3/100) stay muted. Structural risk reads 42/100 against active distress of 1/100.

Prices here sit in a peak phase: values rose 3.3% over the trailing year, at 43/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

493 residents call 61724 home, typically aged 40. Owners hold 93% of homes, renters 7%. DLRadar's demographic-stress index for the area reads 20/100. There are about 152 housing units across 61724. Vacancy runs 5.8%. 4.5% of residents fall below the poverty threshold. Home values center near $147,900, an affordability ratio of 1.5× — accessible. Educational attainment sits at 26% bachelor's-or-above. Rent burden reaches 33% of tenant households. Median household income is $87,143, near the U.S. median near $78,000.

On balance, 61724 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.

19/100
Composite stress
42/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 61724

Foreclosure activity0
Mortgage stress3
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 Mclean County

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Deterministic. Every signal traces to a public dataset · methodology