ZIP 73728 Property Distress & Foreclosure Data
ZIP code 73728 in Alfalfa County, Oklahoma carries a composite property-distress score of 6/100 — a minimal reading on DLRadar's deterministic public-record index. On the structural side it scores 12/100, with 2/100 of stress already active. What sets it apart are the readings on structural risk (12/100), mortgage stress (5/100), institutional ownership (3/100). By contrast, mortgage stress (5/100) and institutional ownership (3/100) register low.
The market reads neutral — home values rose 4.5% year on year (phase confidence 24/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.
Educational attainment sits at 29% bachelor's-or-above. DLRadar's demographic-stress index for the area reads 28/100. Around 44% of renters are cost-burdened. Home values center near $118,600, an affordability ratio of 1.8× — accessible. 16.3% of residents fall below the poverty threshold. About 1,708 people live here, median age 44. Median household income is $68,355, below the U.S. median near $78,000. The ZIP holds roughly 1,047 housing units. The vacancy rate is 25.3% — elevated. Owners hold 75% of homes, renters 25%.
Net-net, 73728 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 73728
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 Alfalfa County
Unlock the full ZIP 73728 acquisition report
Get every distressed property in 73728 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