ZIP 52768 Property Distress & Foreclosure Data

In Scott County, Iowa, ZIP 52768 scores 32 of 100 for composite distress, a moderate level on DLRadar's public-record index. Structural exposure scores 72 and live distress 5 on the 0–100 scale. Its standout signals are construction/permit lag (72/100), structural risk (72/100), institutional ownership (47/100). On the quiet end sit mortgage stress (18/100). Environmental exposure also runs high (flood (NFIP) exposure (90/100), climate & FEMA risk (86/100)).

The expansion-phase market in 52768 posted values that rose 6.5% over the year, and 30% higher over three years, at 44/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

The typical home is worth about $291,100 (3.3× income, relatively affordable). The demographic-stress sub-score lands at 26/100. There are about 613 housing units across 52768. At $84,519, median income runs near typical U.S. levels. Population is roughly 1,260 with a median age of 51. The poverty rate is 7.1% — low. Vacancy runs 13.1%, above the national norm and a classic distress-and-opportunity signal. Rent burden reaches 27% of tenant households. 85% of housing is owner-occupied. Around 25% of adults hold a bachelor's degree or higher.

On the whole, 52768 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.

32/100
Composite stress
72/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 52768

Foreclosure activity0
Mortgage stress18
Climate / FEMA risk86
+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 Scott County

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Deterministic. Every signal traces to a public dataset · methodology