ZIP 68822 Property Distress & Foreclosure Data
Custer County, Nebraska's ZIP 68822 registers 7/100 composite distress, which DLRadar reads as minimal. The most distinctive pressure shows up in construction/permit lag (14/100), structural risk (14/100), mortgage stress (4/100). mortgage stress (4/100) and institutional ownership (3/100) stay muted. Structural risk reads 14/100 against active distress of 1/100.
Prices here sit in a peak phase: values rose 4.1% over the trailing year, and 21% higher over three years, at 43/100 phase confidence. At a peak the opportunity is selective — specific stressed parcels, not a broad discount.
Vacancy runs 16.2%, above the national norm and a classic distress-and-opportunity signal. There are about 2,174 housing units across 68822. 64% of housing is owner-occupied. The poverty rate is 11.2%. The typical home is worth about $154,600 (2.3× income, relatively affordable). Rent burden reaches 31% of tenant households. 4,573 residents call 68822 home, typically aged 42. Around 24% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 27/100. At $65,826, median income runs below typical U.S. levels.
Taken together, 68822 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 68822
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 Custer County
Unlock the full ZIP 68822 acquisition report
Get every distressed property in 68822 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