ZIP 71078 Property Distress & Foreclosure Data

In De Soto County, Louisiana, ZIP 71078 scores 21 of 100 for composite distress, a low level on DLRadar's public-record index. Its standout signals are institutional ownership (60/100), construction/permit lag (48/100), structural risk (43/100). mortgage stress (24/100) stay muted. Climate and flood risk are elevated too — FEMA disaster exposure (83/100). The latent-versus-live split is 43/100 structural and 7/100 already moving.

Prices here sit in a neutral phase: values rose 3.2% over the trailing year, and 3% higher over three years (phase confidence 42/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

Home values center near $246,400, an affordability ratio of 3.1× — accessible. 10.8% of residents fall below the poverty threshold. Median household income is $83,352, near the U.S. median near $78,000. DLRadar's demographic-stress index for the area reads 26/100. Around 26% of renters are cost-burdened. 7,713 residents call 71078 home, typically aged 40. The vacancy rate is 5.6%. Owners hold 87% of homes, renters 13%. Educational attainment sits at 25% bachelor's-or-above. The ZIP holds roughly 3,133 housing units.

On balance, 71078 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

21/100
Composite stress
43/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 71078

Foreclosure activity0
Mortgage stress24
Climate / FEMA risk37
+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 De Soto County

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Deterministic. Every signal traces to a public dataset · methodology