ZIP 47579 Property Distress & Foreclosure Data

In Spencer County, Indiana, ZIP 47579 scores 18 of 100 for composite distress, a low level on DLRadar's public-record index. Structural exposure scores 44 and live distress 2 on the 0–100 scale. It additionally carries heavy environmental risk: flood (NFIP) exposure (80/100). Its standout signals are construction/permit lag (63/100), structural risk (44/100), institutional ownership (18/100). By contrast, institutional ownership (18/100) and mortgage stress (8/100) register low.

The market reads expansion — home values rose 6.2% year on year, and 41% higher over three years, at 31/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

About 2,881 people live here, median age 43. DLRadar's demographic-stress index for the area reads 18/100. Home values center near $258,300, an affordability ratio of 2.6× — accessible. Educational attainment sits at 38% bachelor's-or-above. Owners hold 92% of homes, renters 8%. Vacancy runs 7.8%. Median household income is $95,313, above the U.S. median near $78,000. Rent burden reaches 8% of tenant households. There are about 1,164 housing units across 47579. 3.1% of residents fall below the poverty threshold.

Overall 47579 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

18/100
Composite stress
44/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 47579

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk42
+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 Spencer County

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Deterministic. Every signal traces to a public dataset · methodology