ZIP 50569 Property Distress & Foreclosure Data
Composite property distress in 50569 (Webster County, Iowa) lands at 13/100 — minimal on DLRadar's public-record scoring. Environmental exposure also runs high (climate & FEMA risk (64/100)). On the structural side it scores 26/100, with 1/100 of stress already active. The sharpest non-environmental signals are construction/permit lag (26/100), structural risk (26/100), mortgage stress (3/100). On the quiet end sit mortgage stress (3/100) and institutional ownership (3/100).
The peak-phase market in 50569 posted values that rose 4.0% over the year (phase confidence 23/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Median household income is $46,406, below the U.S. median near $78,000. The vacancy rate is 0.6%. 11.6% of residents fall below the poverty threshold. Owners hold 80% of homes, renters 20%. Educational attainment sits at 15% bachelor's-or-above. DLRadar's demographic-stress index for the area reads 21/100. Around 16% of renters are cost-burdened. Home values center near $96,900, an affordability ratio of 1.9× — accessible. Population is roughly 614 with a median age of 55. The ZIP holds roughly 297 housing units.
On balance 50569 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 50569
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 Webster County
Unlock the full ZIP 50569 acquisition report
Get every distressed property in 50569 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