ZIP 17965 Property Distress & Foreclosure Data

DLRadar grades ZIP 17965 (Schuylkill County, Pennsylvania) at a low 20/100 for overall property distress. Structural risk reads 44/100 against active distress of 2/100. Property-level stress concentrates in structural risk (44/100), construction/permit lag (28/100), institutional ownership (14/100). institutional ownership (14/100) and mortgage stress (8/100) stay muted. Climate and flood risk are elevated too — climate & FEMA risk (84/100).

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

Home values center near $110,800, an affordability ratio of 1.8× — accessible. There are about 958 housing units across 17965. 1,869 residents call 17965 home, typically aged 48. Vacancy runs 12.0%, above the national norm and a classic distress-and-opportunity signal. DLRadar's demographic-stress index for the area reads 23/100. Median household income is $58,958, below the U.S. median near $78,000. Owners hold 81% of homes, renters 19%. 8.3% of residents fall below the poverty threshold. Rent burden reaches 24% of tenant households. Educational attainment sits at 14% bachelor's-or-above.

Overall, 17965 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.

20/100
Composite stress
44/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 17965

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk84
+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 Schuylkill County

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Deterministic. Every signal traces to a public dataset · methodology