ZIP 47974 Property Distress & Foreclosure Data
ZIP code 47974 in Vermillion County, Indiana carries a composite property-distress score of 10/100 — a minimal reading on DLRadar's deterministic public-record index. The latent-versus-live split is 22/100 structural and 1/100 already moving. What sets it apart are the readings on construction/permit lag (57/100), structural risk (22/100), mortgage stress (3/100). mortgage stress (3/100) and institutional ownership (3/100) stay muted.
Prices here sit in a expansion phase: values rose 5.8% over the trailing year, 1.4% off the recent peak (phase confidence 43/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.
At $90,455, median income runs above typical U.S. levels. Around 10% of renters are cost-burdened. The poverty rate is 9.8%. Around 16% of adults hold a bachelor's degree or higher. The vacancy rate is 8.3%. The ZIP holds roughly 585 housing units. The demographic-stress sub-score lands at 20/100. 1,399 residents call 47974 home, typically aged 41. The typical home is worth about $123,100 (1.3× income, relatively affordable). 70% of housing is owner-occupied.
On balance, 47974 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.
Distress signal breakdown — ZIP 47974
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 Vermillion County
Unlock the full ZIP 47974 acquisition report
Get every distressed property in 47974 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology