ZIP 62570 Property Distress & Foreclosure Data

Composite property distress in 62570 (Christian County, Illinois) lands at 9/100 — minimal on DLRadar's public-record scoring. The sharpest non-environmental signals are structural risk (18/100), mortgage stress (3/100), institutional ownership (3/100). mortgage stress (3/100) and institutional ownership (3/100) stay muted. Structural risk reads 18/100 against active distress of 1/100.

Prices here sit in a expansion phase: values rose 6.4% over the trailing year, at 36/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

707 residents call 62570 home, typically aged 27. DLRadar's demographic-stress index for the area reads 19/100. Owners hold 91% of homes, renters 10%. There are about 277 housing units across 62570. Home values center near $79,100, an affordability ratio of 1.0× — accessible. Median household income is $81,250, near the U.S. median near $78,000. Vacancy runs 13.9%, above the national norm and a classic distress-and-opportunity signal. 4.4% of residents fall below the poverty threshold. Educational attainment sits at 11% bachelor's-or-above. Rent burden reaches 19% of tenant households.

Taken together, 62570 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

9/100
Composite stress
18/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 62570

Foreclosure activity0
Mortgage stress3
Climate / FEMA risk59
+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 Christian County

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Deterministic. Every signal traces to a public dataset · methodology