ZIP 14030 Property Distress & Foreclosure Data
DLRadar grades ZIP 14030 (Erie County, New York) at a low 26/100 for overall property distress. Structural risk reads 58/100 against active distress of 2/100. Property-level stress concentrates in construction/permit lag (71/100), structural risk (58/100), institutional ownership (14/100). By contrast, institutional ownership (14/100) and mortgage stress (6/100) register low. It additionally carries heavy environmental risk: climate & FEMA risk (94/100), flood (NFIP) exposure (62/100).
The market reads expansion — home values rose 5.8% year on year, at 42/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
About 2,051 people live here, median age 40. A median home runs $218,700 here, or 2.4 times local income. On demographic stress specifically, 14030 scores 24/100. The tenure split is 84% owner-occupied to 16% rented. Vacancy runs 6.1%. Rent burden reaches 21% of tenant households. About 19% have a four-year degree. Roughly 13.4% live below the poverty line. There are about 788 housing units across 14030. Households earn a median $84,792 — near the roughly $78,000 national figure.
Net-net, 14030 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 14030
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 Erie County
Unlock the full ZIP 14030 acquisition report
Get every distressed property in 14030 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