ZIP 50311 Property Distress & Foreclosure Data

Composite property distress in 50311 (Polk County, Iowa) lands at 25/100 — low on DLRadar's public-record scoring. Structural exposure scores 55 and live distress 5 on the 0–100 scale. The sharpest non-environmental signals are structural risk (55/100), institutional ownership (46/100), mortgage stress (17/100). On the quiet end sit mortgage stress (17/100). Environmental exposure also runs high (climate & FEMA risk (93/100), flood (NFIP) exposure (86/100)).

The peak-phase market in 50311 posted values that rose 2.5% over the year, and 12% higher over three years, at 22/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Population is roughly 15,889 with a median age of 31. 20.3% of residents fall below the poverty threshold. Home values center near $226,500, an affordability ratio of 3.6× — accessible. Vacancy runs 6.7%. Owners hold 48% of homes, renters 52%. Rent burden reaches 41% of tenant households. Educational attainment sits at 41% bachelor's-or-above. There are about 6,867 housing units across 50311. Median household income is $63,233, below the U.S. median near $78,000. DLRadar's demographic-stress index for the area reads 33/100.

On the whole, 50311 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.

25/100
Composite stress
55/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 50311

Foreclosure activity0
Mortgage stress17
Climate / FEMA risk93
+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 Polk County

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Deterministic. Every signal traces to a public dataset · methodology