ZIP 19057 Property Distress & Foreclosure Data

In Bucks County, Pennsylvania, ZIP 19057 scores 27 of 100 for composite distress, a low level on DLRadar's public-record index. Climate and flood risk are elevated too — climate & FEMA risk (95/100), flood (NFIP) exposure (86/100). Its standout signals are construction/permit lag (62/100), structural risk (61/100), institutional ownership (19/100). institutional ownership (19/100) and mortgage stress (7/100) stay muted. Structural risk reads 61/100 against active distress of 2/100.

Prices here sit in a expansion phase: values rose 5.5% over the trailing year, and 23% higher over three years, at 32/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

17,924 residents call 19057 home, typically aged 40. 80% of housing is owner-occupied. The typical home is worth about $328,000 (3.1× income, relatively affordable). Around 26% of adults hold a bachelor's degree or higher. Rent burden reaches 45% of tenant households. Vacancy runs 2.0%. At $95,089, median income runs above typical U.S. levels. The poverty rate is 8.8%. There are about 6,475 housing units across 19057. The demographic-stress sub-score lands at 29/100.

Overall, 19057 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.

27/100
Composite stress
61/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 19057

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk95
+9 more distress dimensions scored for this ZIP

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 Bucks County

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Deterministic. Every signal traces to a public dataset · methodology