ZIP 67002 Foreclosure, Tax-Lien & Distress Report
Butler County, Kansas · Distress market
Composite property distress in 67002 (Butler County, Kansas) lands at 30/100 — moderate on DLRadar's public-record scoring. The sharpest non-environmental signals are structural risk (67/100), construction/permit lag (58/100), institutional ownership (48/100). By contrast, mortgage stress (18/100) register low. It additionally carries heavy environmental risk: flood (NFIP) exposure (96/100), climate & FEMA risk (78/100). On the structural side it scores 67/100, with 6/100 of stress already active.
The market reads peak — home values rose 3.0% year on year, and 16% higher over three years (phase confidence 26/100). Topping markets hide individual distress behind strong averages.
4.0% of residents fall below the poverty threshold. Around 22% of renters are cost-burdened. Median household income is $105,625, above the U.S. median near $78,000. Owners hold 81% of homes, renters 19%. Educational attainment sits at 50% bachelor's-or-above. About 16,753 people live here, median age 37. Home values center near $290,700, an affordability ratio of 2.6× — accessible. DLRadar's demographic-stress index for the area reads 21/100. The vacancy rate is 7.4%. The ZIP holds roughly 6,175 housing units.
Net-net, 67002 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 67002
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.
ZIP 67002 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in Butler County
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Deterministic. Every signal traces to a public dataset · methodology