ZIP 51561 Property Distress & Foreclosure Data
In Mills County, Iowa, ZIP 51561 scores 12 of 100 for composite distress, a minimal level on DLRadar's public-record index. Its standout signals are construction/permit lag (78/100), structural risk (29/100), mortgage stress (3/100). By contrast, mortgage stress (3/100) and institutional ownership (3/100) register low. Structural exposure scores 29 and live distress 1 on the 0–100 scale.
The market reads peak — home values rose 3.6% year on year, and 34% higher over three years, at 24/100 phase confidence. Topping markets hide individual distress behind strong averages.
A median home runs $388,800 here, or 4.3 times local income. Roughly 5.3% live below the poverty line, a low share typical of higher-equity areas. About 716 people live here, median age 57. Vacancy runs 30.5%, above the national norm and a classic distress-and-opportunity signal. On demographic stress specifically, 51561 scores 24/100. There are about 473 housing units across 51561. The tenure split is 88% owner-occupied to 12% rented. Rent burden reaches 0% of tenant households. About 46% have a four-year degree. Households earn a median $89,665 — above the roughly $78,000 national figure.
Net-net, 51561 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 51561
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 Mills County
Unlock the full ZIP 51561 acquisition report
Get every distressed property in 51561 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