ZIP 67853 Property Distress & Foreclosure Data
DLRadar grades ZIP 67853 (Gray County, Kansas) at a low 22/100 for overall property distress. Climate and flood risk are elevated too — FEMA disaster exposure (62/100). On the structural side it scores 48/100, with 4/100 of stress already active. Property-level stress concentrates in construction/permit lag (89/100), structural risk (48/100), institutional ownership (34/100). institutional ownership (34/100) and mortgage stress (14/100) stay muted.
Prices here sit in a expansion phase: values rose 5.7% over the trailing year (phase confidence 29/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.
At $95,536, median income runs above typical U.S. levels. The vacancy rate is 16.3% — elevated. 885 residents call 67853 home, typically aged 33. Around 27% of adults hold a bachelor's degree or higher. The ZIP holds roughly 348 housing units. 84% of housing is owner-occupied. The poverty rate is 3.8% — low. The demographic-stress sub-score lands at 18/100. Around 3% of renters are cost-burdened. The typical home is worth about $163,500 (1.5× income, relatively affordable).
Taken together, 67853 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 67853
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 Gray County
Unlock the full ZIP 67853 acquisition report
Get every distressed property in 67853 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology