ZIP 22485 Property Distress & Foreclosure Data
ZIP code 22485 in King George County, Virginia carries a composite property-distress score of 12/100 — a minimal reading on DLRadar's deterministic public-record index. On the structural side it scores 29/100, with 1/100 of stress already active. What sets it apart are the readings on construction/permit lag (90/100), structural risk (29/100), institutional ownership (3/100). On the quiet end sit institutional ownership (3/100) and mortgage stress (2/100).
The peak-phase market in 22485 posted values that rose 4.8% over the year, and 21% higher over three years (phase confidence 50/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
At $110,657, median income runs above typical U.S. levels. Around 36% of adults hold a bachelor's degree or higher. The ZIP holds roughly 10,409 housing units. The typical home is worth about $428,300 (3.6× income, relatively affordable). Around 42% of renters are cost-burdened. 78% of housing is owner-occupied. Population is roughly 26,810 with a median age of 39. The demographic-stress sub-score lands at 29/100. The poverty rate is 6.6% — low. The vacancy rate is 6.2%.
Broadly, 22485 is a steadier market — the deals are the exceptions, not the rule. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 22485
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 King George County
Unlock the full ZIP 22485 acquisition report
Get every distressed property in 22485 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