ZIP 19012 Property Distress & Foreclosure Data

DLRadar grades ZIP 19012 (Montgomery County, Pennsylvania) at a low 23/100 for overall property distress. Property-level stress concentrates in structural risk (51/100), construction/permit lag (24/100), institutional ownership (18/100). institutional ownership (18/100) and mortgage stress (7/100) stay muted. Climate and flood risk are elevated too — climate & FEMA risk (97/100), flood (NFIP) exposure (81/100). On the structural side it scores 51/100, with 2/100 of stress already active.

Prices here sit in a expansion phase: values rose 5.5% over the trailing year, and 16% higher over three years (phase confidence 32/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

At $117,614, median income runs above typical U.S. levels. The poverty rate is 4.6% — low. 84% of housing is owner-occupied. Around 39% of renters are cost-burdened. Around 43% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 24/100. 6,787 residents call 19012 home, typically aged 40. The vacancy rate is 3.3%. The ZIP holds roughly 2,320 housing units. The typical home is worth about $344,700 (2.7× income, relatively affordable).

On balance, 19012 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

23/100
Composite stress
51/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 19012

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk97
+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 Montgomery County

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Deterministic. Every signal traces to a public dataset · methodology