ZIP 62644 Property Distress & Foreclosure Data

ZIP code 62644 in Mason County, Illinois carries a composite property-distress score of 17/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (74/100), structural risk (37/100), institutional ownership (12/100). On the quiet end sit institutional ownership (12/100) and mortgage stress (7/100). Structural risk reads 37/100 against active distress of 2/100.

The expansion-phase market in 62644 posted values that rose 7.1% over the year, and 29% higher over three years, at 36/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 4,657 with a median age of 44. Vacancy runs 16.0%, above the national norm and a classic distress-and-opportunity signal. There are about 2,443 housing units across 62644. 77% of housing is owner-occupied. Around 20% of adults hold a bachelor's degree or higher. At $57,076, median income runs below typical U.S. levels. The typical home is worth about $102,900 (1.8× income, relatively affordable). The poverty rate is 15.4%. The demographic-stress sub-score lands at 25/100. Rent burden reaches 29% of tenant households.

On the whole, 62644 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.

17/100
Composite stress
37/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 62644

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk48
+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 Mason County

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Deterministic. Every signal traces to a public dataset · methodology