ZIP 38664 Property Distress & Foreclosure Data
In Tunica County, Mississippi, ZIP 38664 scores 10 of 100 for composite distress, a minimal level on DLRadar's public-record index. The latent-versus-live split is 23/100 structural and 2/100 already moving. Its standout signals are construction/permit lag (56/100), structural risk (23/100), mortgage stress (5/100). On the quiet end sit mortgage stress (5/100) and institutional ownership (3/100).
The recovery-phase market in 38664 posted values that rose 2.2% over the year (phase confidence 13/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.
A median home runs $209,300 here, or 4.7 times local income. Roughly 36.8% live below the poverty line, elevated and often tied to deferred-maintenance inventory. Households earn a median $35,840 — below the roughly $78,000 national figure. On demographic stress specifically, 38664 scores 51/100. The vacancy rate is 33.1% — elevated. About 9% have a four-year degree. Population is roughly 3,261 with a median age of 27. The tenure split is 11% owner-occupied to 89% rented. Around 45% of renters are cost-burdened. The ZIP holds roughly 1,847 housing units.
On the whole, 38664 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 38664
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 Tunica County
Unlock the full ZIP 38664 acquisition report
Get every distressed property in 38664 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