ZIP 16132 Property Distress & Foreclosure Data
DLRadar grades ZIP 16132 (Lawrence County, Pennsylvania) at a low 17/100 for overall property distress. Property-level stress concentrates in structural risk (38/100), institutional ownership (17/100), construction/permit lag (15/100). institutional ownership (17/100) and construction/permit lag (15/100) stay muted. The latent-versus-live split is 38/100 structural and 0/100 already moving. Climate and flood risk are elevated too — flood (NFIP) exposure (73/100), climate & FEMA risk (67/100).
Prices here sit in a peak phase: values rose 4.7% over the trailing year (phase confidence 31/100). At a peak the opportunity is selective — specific stressed parcels, not a broad discount.
Around 0% of renters are cost-burdened. Educational attainment sits at 15% bachelor's-or-above. Owners hold 82% of homes, renters 18%. Median household income is $51,346, below the U.S. median near $78,000. DLRadar's demographic-stress index for the area reads 19/100. The ZIP holds roughly 229 housing units. 0.0% of residents fall below the poverty threshold. The vacancy rate is 14.8% — elevated. 370 residents call 16132 home, typically aged 46.
Taken together, 16132 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 16132
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 Lawrence County
Unlock the full ZIP 16132 acquisition report
Get every distressed property in 16132 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