ZIP 16262 Property Distress & Foreclosure Data
In Armstrong County, Pennsylvania, ZIP 16262 scores 22 of 100 for composite distress, a low level on DLRadar's public-record index. Its standout signals are construction/permit lag (69/100), structural risk (52/100), institutional ownership (16/100). By contrast, institutional ownership (16/100) and mortgage stress (8/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (70/100), flood (NFIP) exposure (68/100). On the structural side it scores 52/100, with 2/100 of stress already active.
The market reads peak — home values rose 4.7% year on year (phase confidence 31/100). Topping markets hide individual distress behind strong averages.
Households earn a median $72,019 — near the roughly $78,000 national figure. Roughly 7.7% live below the poverty line. About 2,811 people live here, median age 52. On demographic stress specifically, 16262 scores 28/100. Around 53% of renters are cost-burdened. A median home runs $195,500 here, or 2.7 times local income. About 22% have a four-year degree. The vacancy rate is 6.2%. The ZIP holds roughly 1,274 housing units. The tenure split is 84% owner-occupied to 16% rented.
Net-net, 16262 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 16262
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 Armstrong County
Unlock the full ZIP 16262 acquisition report
Get every distressed property in 16262 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