ZIP 73726 Property Distress & Foreclosure Data
Composite property distress in 73726 (Alfalfa County, Oklahoma) lands at 9/100 — minimal on DLRadar's public-record scoring. The latent-versus-live split is 18/100 structural and 4/100 already moving. The sharpest non-environmental signals are institutional ownership (22/100), structural risk (18/100), mortgage stress (12/100). On the quiet end sit structural risk (18/100) and mortgage stress (12/100).
The neutral-phase market in 73726 posted values that rose 4.5% over the year (phase confidence 24/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.
Households earn a median $57,188 — below the roughly $78,000 national figure. The ZIP holds roughly 219 housing units. A median home runs $65,000 here, or 0.9 times local income. On demographic stress specifically, 73726 scores 30/100. The vacancy rate is 29.2% — elevated. About 24% have a four-year degree. Roughly 31.2% live below the poverty line, elevated and often tied to deferred-maintenance inventory. The tenure split is 71% owner-occupied to 29% rented. Around 43% of renters are cost-burdened. Population is roughly 445 with a median age of 36.
On the whole, 73726 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 73726
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 73726 acquisition report
Get every distressed property in 73726 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