ZIP 19375 Property Distress & Foreclosure Data
Chester County, Pennsylvania's ZIP 19375 registers 26/100 composite distress, which DLRadar reads as low. Climate and flood risk are elevated too — climate & FEMA risk (93/100), flood (NFIP) exposure (86/100). On the structural side it scores 60/100, with 2/100 of stress already active. The most distinctive pressure shows up in construction/permit lag (61/100), structural risk (60/100), institutional ownership (19/100). institutional ownership (19/100) and mortgage stress (7/100) stay muted.
Prices here sit in a expansion phase: values rose 5.5% over the trailing year (phase confidence 32/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.
The demographic-stress sub-score lands at 15/100. 272 residents call 19375 home, typically aged 60. The poverty rate is 0.0% — low. The typical home is worth about $614,400 (2.5× income, relatively affordable). Around 51% of adults hold a bachelor's degree or higher. 84% of housing is owner-occupied. At $250,001, median income runs above typical U.S. levels. The vacancy rate is 0.0%. Around 0% of renters are cost-burdened. The ZIP holds roughly 96 housing units.
Overall, 19375 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 19375
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 Chester County
Unlock the full ZIP 19375 acquisition report
Get every distressed property in 19375 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