ZIP 52755 Property Distress & Foreclosure Data

DLRadar grades ZIP 52755 (Johnson County, Iowa) at a low 15/100 for overall property distress. It additionally carries heavy environmental risk: climate & FEMA risk (83/100). Property-level stress concentrates in structural risk (31/100), institutional ownership (8/100), mortgage stress (4/100). By contrast, institutional ownership (8/100) and mortgage stress (4/100) register low. Structural risk reads 31/100 against active distress of 1/100.

The market reads neutral — home values rose 4.2% year on year, 1.4% off the recent peak, and 19% higher over three years, at 33/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

About 2,210 people live here, median age 43. The tenure split is 84% owner-occupied to 16% rented. On demographic stress specifically, 52755 scores 24/100. About 19% have a four-year degree. There are about 834 housing units across 52755. Households earn a median $98,125 — above the roughly $78,000 national figure. Vacancy runs 8.1%. Roughly 5.0% live below the poverty line, a low share typical of higher-equity areas. A median home runs $242,700 here, or 2.2 times local income. Rent burden reaches 34% of tenant households.

Overall 52755 looks resilient on the surface, so the edge is isolating individual stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

15/100
Composite stress
31/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 52755

Foreclosure activity0
Mortgage stress4
Climate / FEMA risk83
+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 Johnson County

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Deterministic. Every signal traces to a public dataset · methodology