ZIP 52731 Property Distress & Foreclosure Data
In Clinton County, Iowa, ZIP 52731 scores 22 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: flood (NFIP) exposure (76/100), climate & FEMA risk (66/100). Its standout signals are construction/permit lag (61/100), structural risk (50/100), institutional ownership (18/100). By contrast, institutional ownership (18/100) and mortgage stress (8/100) register low. Structural exposure scores 50 and live distress 2 on the 0–100 scale.
The market reads peak — home values rose 4.0% year on year, at 23/100 phase confidence. Topping markets hide individual distress behind strong averages.
The tenure split is 85% owner-occupied to 15% rented. Rent burden reaches 26% of tenant households. A median home runs $155,900 here, or 1.5 times local income. Vacancy runs 4.5%. About 808 people live here, median age 47. Roughly 9.4% live below the poverty line. There are about 376 housing units across 52731. Households earn a median $92,153 — above the roughly $78,000 national figure. About 12% have a four-year degree. On demographic stress specifically, 52731 scores 21/100.
Overall 52731 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.
Distress signal breakdown — ZIP 52731
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 Clinton County
Unlock the full ZIP 52731 acquisition report
Get every distressed property in 52731 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