ZIP 73129 Property Distress & Foreclosure Data
ZIP code 73129 in Oklahoma County, Oklahoma carries a composite property-distress score of 32/100 — a moderate reading on DLRadar's deterministic public-record index. Environmental exposure also runs high (climate & FEMA risk (98/100), FEMA disaster exposure (83/100), flood (NFIP) exposure (70/100)). What sets it apart are the readings on structural risk (68/100), institutional ownership (60/100), construction/permit lag (33/100). On the quiet end sit construction/permit lag (33/100) and mortgage stress (23/100). Structural exposure scores 68 and live distress 7 on the 0–100 scale.
The peak-phase market in 73129 posted values that rose 2.5% over the year, at 32/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
A median home runs $84,700 here, or 1.7 times local income. About 6% have a four-year degree. The tenure split is 49% owner-occupied to 51% rented. On demographic stress specifically, 73129 scores 32/100. There are about 7,550 housing units across 73129. Roughly 24.1% live below the poverty line, elevated and often tied to deferred-maintenance inventory. Vacancy runs 12.7%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 33% of tenant households. Population is roughly 19,730 with a median age of 31. Households earn a median $43,941 — below the roughly $78,000 national figure.
On the whole, 73129 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 73129
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 Oklahoma County
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Deterministic. Every signal traces to a public dataset · methodology