ZIP 66769 Property Distress & Foreclosure Data

DLRadar grades ZIP 66769 (Bourbon County, Kansas) at a low 19/100 for overall property distress. Environmental exposure also runs high (FEMA disaster exposure (64/100)). Property-level stress concentrates in construction/permit lag (50/100), institutional ownership (41/100), structural risk (41/100). On the quiet end sit mortgage stress (17/100). Structural risk reads 41/100 against active distress of 5/100.

The expansion-phase market in 66769 posted values that rose 6.0% over the year, at 33/100 phase confidence. Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

Population is roughly 606 with a median age of 38. A median home runs $135,800 here, or 1.4 times local income. The tenure split is 98% owner-occupied to 2% rented. Rent burden reaches 0% of tenant households. Vacancy runs 23.2%, above the national norm and a classic distress-and-opportunity signal. There are about 228 housing units across 66769. On demographic stress specifically, 66769 scores 16/100. Roughly 6.3% live below the poverty line, a low share typical of higher-equity areas. About 32% have a four-year degree. Households earn a median $86,875 — near the roughly $78,000 national figure.

On the whole, 66769 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.

19/100
Composite stress
41/100
Structural risk
5/100
Distress activity

Distress signal breakdown — ZIP 66769

Foreclosure activity0
Mortgage stress17
Climate / FEMA risk36
+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 Bourbon County

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Deterministic. Every signal traces to a public dataset · methodology