ZIP 52043 Property Distress & Foreclosure Data

DLRadar grades ZIP 52043 (Clayton County, Iowa) at a minimal 13/100 for overall property distress. Structural risk reads 31/100 against active distress of 3/100. Property-level stress concentrates in structural risk (31/100), institutional ownership (19/100), mortgage stress (10/100). mortgage stress (10/100) and construction/permit lag (3/100) stay muted. Climate and flood risk are elevated too — flood (NFIP) exposure (83/100).

Prices here sit in a expansion phase: values rose 5.4% over the trailing year, and 3% lower over three years, at 28/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

1,853 residents call 52043 home, typically aged 50. Home values center near $165,000, an affordability ratio of 2.2× — accessible. There are about 1,064 housing units across 52043. DLRadar's demographic-stress index for the area reads 23/100. Median household income is $65,202, below the U.S. median near $78,000. Vacancy runs 9.3%. Rent burden reaches 28% of tenant households. 7.2% of residents fall below the poverty threshold. Owners hold 78% of homes, renters 22%. Educational attainment sits at 22% bachelor's-or-above.

Overall, 52043 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

13/100
Composite stress
31/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 52043

Foreclosure activity0
Mortgage stress10
Climate / FEMA risk46
+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 Clayton County

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Deterministic. Every signal traces to a public dataset · methodology