ZIP 50101 Property Distress & Foreclosure Data

ZIP code 50101 in Wright County, Iowa carries a composite property-distress score of 29/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (89/100), structural risk (66/100), institutional ownership (65/100). On the quiet end sit mortgage stress (26/100). Environmental exposure also runs high (flood (NFIP) exposure (74/100), FEMA disaster exposure (64/100)). The latent-versus-live split is 66/100 structural and 8/100 already moving.

The expansion-phase market in 50101 posted values that rose 5.4% over the year (phase confidence 28/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Median household income is $168,333, above the U.S. median near $78,000. DLRadar's demographic-stress index for the area reads 17/100. 0.0% of residents fall below the poverty threshold. Population is roughly 67 with a median age of 45. The ZIP holds roughly 47 housing units. The vacancy rate is 34.8% — elevated. Educational attainment sits at 54% bachelor's-or-above. Owners hold 53% of homes, renters 47%. Around 21% of renters are cost-burdened. Home values center near $45,000, an affordability ratio of 0.3× — accessible.

On the whole, 50101 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.

29/100
Composite stress
66/100
Structural risk
8/100
Distress activity

Distress signal breakdown — ZIP 50101

Foreclosure activity0
Mortgage stress26
Climate / FEMA risk43
+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 Wright County

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Deterministic. Every signal traces to a public dataset · methodology