ZIP 74332 Property Distress & Foreclosure Data

DLRadar grades ZIP 74332 (Craig County, Oklahoma) at a low 17/100 for overall property distress. Property-level stress concentrates in structural risk (36/100), institutional ownership (25/100), construction/permit lag (13/100). On the quiet end sit construction/permit lag (13/100) and mortgage stress (11/100). Environmental exposure also runs high (climate & FEMA risk (64/100)). On the structural side it scores 36/100, with 3/100 of stress already active.

The peak-phase market in 74332 posted values that rose 4.4% over the year (phase confidence 23/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

On demographic stress specifically, 74332 scores 34/100. Population is roughly 1,808 with a median age of 36. The tenure split is 84% owner-occupied to 16% rented. The ZIP holds roughly 838 housing units. Households earn a median $60,563 — below the roughly $78,000 national figure. About 13% have a four-year degree. Roughly 20.5% live below the poverty line, elevated and often tied to deferred-maintenance inventory. A median home runs $167,500 here, or 2.7 times local income. Around 61% of renters are cost-burdened. The vacancy rate is 18.8% — elevated.

On the whole, 74332 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.

17/100
Composite stress
36/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 74332

Foreclosure activity0
Mortgage stress11
Climate / FEMA risk64
+9 more distress dimensions scored for this ZIP

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 Craig County

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Deterministic. Every signal traces to a public dataset · methodology