ZIP 71353 Property Distress & Foreclosure Data

DLRadar grades ZIP 71353 (St. Landry County, Louisiana) at a moderate 33/100 for overall property distress. Environmental exposure also runs high (climate & FEMA risk (86/100), flood (NFIP) exposure (85/100), FEMA disaster exposure (83/100)). The latent-versus-live split is 72/100 structural and 7/100 already moving. Property-level stress concentrates in structural risk (72/100), institutional ownership (63/100), construction/permit lag (49/100). On the quiet end sit mortgage stress (25/100).

The neutral-phase market in 71353 posted values that rose 4.0% over the year (phase confidence 28/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

At $41,875, median income runs below typical U.S. levels. The typical home is worth about $118,300 (2.9× income, relatively affordable). The vacancy rate is 23.8% — elevated. Around 36% of renters are cost-burdened. Around 10% of adults hold a bachelor's degree or higher. The ZIP holds roughly 810 housing units. The poverty rate is 16.7% — high, a tax-stress and distress correlate. The demographic-stress sub-score lands at 31/100. Population is roughly 1,609 with a median age of 43. 86% of housing is owner-occupied.

On the whole, 71353 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.

33/100
Composite stress
72/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 71353

Foreclosure activity0
Mortgage stress25
Climate / FEMA risk86
+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 St. Landry County

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Deterministic. Every signal traces to a public dataset · methodology