ZIP 71956 Property Distress & Foreclosure Data

In Garland County, Arkansas, ZIP 71956 scores 27 of 100 for composite distress, a low level on DLRadar's public-record index. Structural exposure scores 57 and live distress 7 on the 0–100 scale. Its standout signals are institutional ownership (57/100), structural risk (57/100), mortgage stress (23/100). On the quiet end sit mortgage stress (23/100). Environmental exposure also runs high (climate & FEMA risk (87/100), flood (NFIP) exposure (82/100), FEMA disaster exposure (73/100)).

The expansion-phase market in 71956 posted values that rose 9.2% over the year, at 75/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 1,274 with a median age of 48. Vacancy runs 15.6%, above the national norm and a classic distress-and-opportunity signal. There are about 759 housing units across 71956. The demographic-stress sub-score lands at 31/100. The typical home is worth about $68,200 (1.3× income, relatively affordable). Around 2% of adults hold a bachelor's degree or higher. 90% of housing is owner-occupied. At $46,458, median income runs below typical U.S. levels. The poverty rate is 10.8%. Rent burden reaches 84% of tenant households.

On the whole, 71956 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.

27/100
Composite stress
57/100
Structural risk
7/100
Distress activity

Distress signal breakdown — ZIP 71956

Foreclosure activity0
Mortgage stress23
Climate / FEMA risk87
+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 Garland County

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Deterministic. Every signal traces to a public dataset · methodology