ZIP 47982 Foreclosure, Tax-Lien & Distress Report
Warren County, Indiana · High Vacancy market
Warren County, Indiana's ZIP 47982 registers 15/100 composite distress, which DLRadar reads as low. Structural exposure scores 35 and live distress 4 on the 0–100 scale. The most distinctive pressure shows up in construction/permit lag (77/100), institutional ownership (35/100), structural risk (35/100). On the quiet end sit structural risk (35/100) and mortgage stress (14/100). Environmental exposure also runs high (FEMA disaster exposure (64/100)).
The peak-phase market in 47982 posted values that rose 4.1% over the year, at 38/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
The tenure split is 86% owner-occupied to 14% rented. There are about 38 housing units across 47982. A median home runs $86,400 here, or 1.2 times local income. About 4% have a four-year degree. Vacancy runs 13.7%, above the national norm and a classic distress-and-opportunity signal. On demographic stress specifically, 47982 scores 18/100. Population is roughly 98 with a median age of 55. Households earn a median $62,500 — below the roughly $78,000 national figure. Rent burden reaches 0% of tenant households. Roughly 8.3% live below the poverty line.
On the whole, 47982 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.
Distress signal breakdown — ZIP 47982
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.
ZIP 47982 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in Warren County
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Deterministic. Every signal traces to a public dataset · methodology