ZIP 19522 Property Distress & Foreclosure Data

Composite property distress in 19522 (Berks County, Pennsylvania) lands at 20/100 — low on DLRadar's public-record scoring. Climate and flood risk are elevated too — climate & FEMA risk (92/100), flood (NFIP) exposure (91/100). On the structural side it scores 45/100, with 2/100 of stress already active. The sharpest non-environmental signals are structural risk (45/100), institutional ownership (20/100), mortgage stress (8/100). institutional ownership (20/100) and mortgage stress (8/100) stay muted.

Prices here sit in a expansion phase: values rose 8.4% over the trailing year, and 26% higher over three years (phase confidence 63/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

At $95,366, median income runs above typical U.S. levels. The poverty rate is 4.7% — low. The demographic-stress sub-score lands at 22/100. Around 22% of renters are cost-burdened. Around 24% of adults hold a bachelor's degree or higher. 82% of housing is owner-occupied. 13,926 residents call 19522 home, typically aged 47. The typical home is worth about $279,300 (2.7× income, relatively affordable). The ZIP holds roughly 5,625 housing units. The vacancy rate is 1.7%.

On balance, 19522 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.

20/100
Composite stress
45/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 19522

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk92
+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 Berks County

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Deterministic. Every signal traces to a public dataset · methodology