ZIP 50314 Property Distress & Foreclosure Data

In Polk County, Iowa, ZIP 50314 scores 25 of 100 for composite distress, a low level on DLRadar's public-record index. Its standout 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 latent-versus-live split is 55/100 structural and 5/100 already moving.

The peak-phase market in 50314 posted values that rose 2.5% over the year, and 8% higher over three years (phase confidence 22/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Home values center near $147,900, an affordability ratio of 3.8× — accessible. 36.2% of residents fall below the poverty threshold. DLRadar's demographic-stress index for the area reads 44/100. Around 63% of renters are cost-burdened. Median household income is $38,511, below the U.S. median near $78,000. The vacancy rate is 16.0% — elevated. Educational attainment sits at 15% bachelor's-or-above. Population is roughly 10,203 with a median age of 32. Owners hold 46% of homes, renters 54%. The ZIP holds roughly 4,940 housing units.

On the whole, 50314 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 50314

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