ZIP 11105 Property Distress & Foreclosure Data
DLRadar grades ZIP 11105 (Queens County, New York) at a moderate 30/100 for overall property distress. Structural risk reads 68/100 against active distress of 3/100. Property-level stress concentrates in construction/permit lag (86/100), structural risk (68/100), institutional ownership (20/100). By contrast, institutional ownership (20/100) and mortgage stress (9/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (99/100), flood (NFIP) exposure (87/100).
The market reads expansion — home values rose 6.3% year on year, and 23% higher over three years, at 39/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
Vacancy runs 8.3%. 24% of housing is owner-occupied. The typical home is worth about $1,081,200 (10.9× income, severely stretched). Rent burden reaches 34% of tenant households. At $100,306, median income runs above typical U.S. levels. The poverty rate is 9.2%. About 38,507 people live here, median age 36. There are about 17,786 housing units across 11105. The demographic-stress sub-score lands at 50/100. Around 55% of adults hold a bachelor's degree or higher.
Net-net, 11105 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 11105
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 Queens County
Unlock the full ZIP 11105 acquisition report
Get every distressed property in 11105 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