ZIP 52144 Property Distress & Foreclosure Data
Winneshiek County, Iowa's ZIP 52144 registers 20/100 composite distress, which DLRadar reads as low. The most distinctive pressure shows up in construction/permit lag (82/100), structural risk (44/100), institutional ownership (26/100). On the quiet end sit institutional ownership (26/100) and mortgage stress (11/100). Structural exposure scores 44 and live distress 3 on the 0–100 scale.
The expansion-phase market in 52144 posted values that rose 5.4% over the year, and 3% lower over three years, at 28/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.
Population is roughly 1,056 with a median age of 46. Vacancy runs 21.2%, above the national norm and a classic distress-and-opportunity signal. 85% of housing is owner-occupied. At $85,341, median income runs near typical U.S. levels. The poverty rate is 0.6% — low. Around 19% of adults hold a bachelor's degree or higher. The typical home is worth about $217,500 (2.3× income, relatively affordable). There are about 582 housing units across 52144. Rent burden reaches 38% of tenant households. The demographic-stress sub-score lands at 25/100.
On the whole, 52144 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 52144
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 Winneshiek County
Unlock the full ZIP 52144 acquisition report
Get every distressed property in 52144 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