ZIP 65350 Property Distress & Foreclosure Data
DLRadar grades ZIP 65350 (Pettis County, Missouri) at a low 16/100 for overall property distress. Environmental exposure also runs high (climate & FEMA risk (64/100)). The latent-versus-live split is 34/100 structural and 1/100 already moving. Property-level stress concentrates in construction/permit lag (56/100), structural risk (34/100), mortgage stress (4/100). On the quiet end sit mortgage stress (4/100) and institutional ownership (3/100).
The peak-phase market in 65350 posted values that rose 4.1% over the year, and 7% higher over three years (phase confidence 30/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Households earn a median $60,486 — below the roughly $78,000 national figure. About 23% have a four-year degree. Around 59% of renters are cost-burdened. The vacancy rate is 17.5% — elevated. Roughly 8.5% live below the poverty line. A median home runs $198,300 here, or 2.0 times local income. Population is roughly 1,326 with a median age of 40. On demographic stress specifically, 65350 scores 29/100. The tenure split is 83% owner-occupied to 17% rented. The ZIP holds roughly 675 housing units.
On the whole, 65350 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 65350
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 Pettis County
Unlock the full ZIP 65350 acquisition report
Get every distressed property in 65350 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