ZIP 51451 Property Distress & Foreclosure Data
Carroll County, Iowa's ZIP 51451 registers 16/100 composite distress, which DLRadar reads as low. Structural exposure scores 34 and live distress 1 on the 0–100 scale. The most distinctive pressure shows up in construction/permit lag (61/100), structural risk (34/100), mortgage stress (3/100). On the quiet end sit mortgage stress (3/100) and institutional ownership (3/100). Environmental exposure also runs high (climate & FEMA risk (61/100)).
The peak-phase market in 51451 posted values that rose 4.0% over the year, at 23/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
86% of housing is owner-occupied. The typical home is worth about $68,800 (2.5× income, relatively affordable). Vacancy runs 55.2%, above the national norm and a classic distress-and-opportunity signal. Around 7% of adults hold a bachelor's degree or higher. Population is roughly 65 with a median age of 58. At $36,250, median income runs below typical U.S. levels. The poverty rate is 15.4%. There are about 105 housing units across 51451. The demographic-stress sub-score lands at 27/100. Rent burden reaches 0% of tenant households.
On the whole, 51451 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 51451
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 Carroll County
Unlock the full ZIP 51451 acquisition report
Get every distressed property in 51451 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