ZIP 73951 Property Distress & Foreclosure Data
Composite property distress in 73951 (Texas County, Oklahoma) lands at 21/100 — low on DLRadar's public-record scoring. The sharpest non-environmental signals are institutional ownership (52/100), structural risk (46/100). Environmental exposure also runs high (flood (NFIP) exposure (78/100), FEMA disaster exposure (64/100)). On the structural side it scores 46/100, with 0/100 of stress already active.
The peak-phase market in 73951 posted values that rose 3.4% over the year (phase confidence 28/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Households earn a median $39,632 — below the roughly $78,000 national figure. The tenure split is 88% owner-occupied to 12% rented. The ZIP holds roughly 582 housing units. Around 36% of renters are cost-burdened. Roughly 44.0% live below the poverty line, elevated and often tied to deferred-maintenance inventory. About 21% have a four-year degree. A median home runs $57,100 here, or 1.4 times local income. On demographic stress specifically, 73951 scores 32/100. Population is roughly 1,240 with a median age of 32. The vacancy rate is 28.8% — elevated.
On the whole, 73951 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 73951
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 Texas County
Unlock the full ZIP 73951 acquisition report
Get every distressed property in 73951 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