ZIP 16743 Property Distress & Foreclosure Data
ZIP code 16743 in Mckean County, Pennsylvania carries a composite property-distress score of 15/100 — a low reading on DLRadar's deterministic public-record index. On the structural side it scores 33/100, with 3/100 of stress already active. What sets it apart are the readings on construction/permit lag (51/100), structural risk (33/100), institutional ownership (16/100). On the quiet end sit institutional ownership (16/100) and mortgage stress (9/100).
The expansion-phase market in 16743 posted values that rose 5.5% over the year (phase confidence 33/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.
The poverty rate is 21.5% — high, a tax-stress and distress correlate. Around 41% of renters are cost-burdened. At $53,846, median income runs below typical U.S. levels. The demographic-stress sub-score lands at 30/100. 74% of housing is owner-occupied. Around 23% of adults hold a bachelor's degree or higher. The ZIP holds roughly 1,928 housing units. The vacancy rate is 20.1% — elevated. Population is roughly 3,960 with a median age of 39. The typical home is worth about $120,600 (2.2× income, relatively affordable).
On the whole, 16743 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 16743
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 Mckean County
Unlock the full ZIP 16743 acquisition report
Get every distressed property in 16743 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