ZIP 19462 Property Distress & Foreclosure Data

In Montgomery County, Pennsylvania, ZIP 19462 scores 23 of 100 for composite distress, a low level on DLRadar's public-record index. Structural exposure scores 51 and live distress 2 on the 0–100 scale. Climate and flood risk are elevated too — climate & FEMA risk (97/100), flood (NFIP) exposure (81/100). Its standout signals are structural risk (51/100), construction/permit lag (24/100), institutional ownership (18/100). institutional ownership (18/100) and mortgage stress (7/100) stay muted.

Prices here sit in a expansion phase: values rose 5.5% over the trailing year, and 28% higher over three years, at 32/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.

77% of housing is owner-occupied. The demographic-stress sub-score lands at 27/100. 16,215 residents call 19462 home, typically aged 42. There are about 6,748 housing units across 19462. The typical home is worth about $471,000 (3.4× income, relatively affordable). Rent burden reaches 52% of tenant households. Around 53% of adults hold a bachelor's degree or higher. At $133,942, median income runs above typical U.S. levels. Vacancy runs 2.1%. The poverty rate is 4.0% — low.

On balance, 19462 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 19462

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