ZIP 50070 Property Distress & Foreclosure Data
ZIP code 50070 in Madison County, Iowa carries a composite property-distress score of 19/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (88/100), structural risk (44/100), institutional ownership (17/100). By contrast, institutional ownership (17/100) and mortgage stress (7/100) register low. Structural risk reads 44/100 against active distress of 2/100.
The market reads peak — home values rose 3.3% year on year, and 46% higher over three years, at 23/100 phase confidence. Topping markets hide individual distress behind strong averages.
About 1,366 people live here, median age 44. At $90,352, median income runs above typical U.S. levels. There are about 628 housing units across 50070. Rent burden reaches 23% of tenant households. Vacancy runs 22.2%, above the national norm and a classic distress-and-opportunity signal. The poverty rate is 3.4% — low. 85% of housing is owner-occupied. Around 28% of adults hold a bachelor's degree or higher. The typical home is worth about $213,300 (2.1× income, relatively affordable). The demographic-stress sub-score lands at 22/100.
Net-net, 50070 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 50070
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 Madison County
Unlock the full ZIP 50070 acquisition report
Get every distressed property in 50070 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