ZIP 52317 Property Distress & Foreclosure Data

In Johnson County, Iowa, ZIP 52317 scores 16 of 100 for composite distress, a low level on DLRadar's public-record index. Structural exposure scores 33 and live distress 1 on the 0–100 scale. Its standout signals are structural risk (33/100), institutional ownership (8/100), mortgage stress (4/100). By contrast, institutional ownership (8/100) and mortgage stress (4/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (89/100).

The market reads neutral — home values rose 4.1% year on year, 1.5% off the recent peak, and 15% higher over three years, at 34/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

About 22,392 people live here, median age 33. Roughly 4.4% live below the poverty line, a low share typical of higher-equity areas. A median home runs $322,800 here, or 2.9 times local income. Vacancy runs 7.0%. On demographic stress specifically, 52317 scores 23/100. Households earn a median $108,156 — above the roughly $78,000 national figure. The tenure split is 70% owner-occupied to 30% rented. Rent burden reaches 26% of tenant households. There are about 9,493 housing units across 52317. About 54% have a four-year degree.

Overall 52317 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.

16/100
Composite stress
33/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 52317

Foreclosure activity0
Mortgage stress4
Climate / FEMA risk89
+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