ZIP 71965 Property Distress & Foreclosure Data

In Montgomery County, Arkansas, ZIP 71965 scores 11 of 100 for composite distress, a minimal level on DLRadar's public-record index. Structural risk reads 22/100 against active distress of 0/100. Environmental exposure also runs high (FEMA disaster exposure (73/100)). Its standout signals are institutional ownership (39/100), structural risk (22/100). On the quiet end sit institutional ownership (39/100) and structural risk (22/100).

The peak-phase market in 71965 posted values that rose 2.8% over the year, at 36/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Population is roughly 268 with a median age of 39. The typical home is worth about $144,100 (2.8× income, relatively affordable). There are about 171 housing units across 71965. The poverty rate is 48.9% — high, a tax-stress and distress correlate. Vacancy runs 32.0%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 71% of tenant households. At $45,556, median income runs below typical U.S. levels. Around 8% of adults hold a bachelor's degree or higher. 67% of housing is owner-occupied. The demographic-stress sub-score lands at 45/100.

On the whole, 71965 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.

11/100
Composite stress
22/100
Structural risk
0/100
Distress activity

Distress signal breakdown — ZIP 71965

Foreclosure activity0
Mortgage stress0
Climate / FEMA risk23
+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 Montgomery County

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Deterministic. Every signal traces to a public dataset · methodology