ZIP 18211 Property Distress & Foreclosure Data

DLRadar grades ZIP 18211 (Schuylkill County, Pennsylvania) at a low 20/100 for overall property distress. Property-level stress concentrates in structural risk (44/100), construction/permit lag (29/100), 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 (83/100). The latent-versus-live split is 44/100 structural and 2/100 already moving.

Prices here sit in a expansion phase: values rose 5.6% over the trailing year (phase confidence 32/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

Median household income is $69,583, near the U.S. median near $78,000. 12.5% of residents fall below the poverty threshold. Owners hold 93% of homes, renters 7%. Educational attainment sits at 23% bachelor's-or-above. The ZIP holds roughly 607 housing units. DLRadar's demographic-stress index for the area reads 23/100. Around 0% of renters are cost-burdened. 1,260 residents call 18211 home, typically aged 56. The vacancy rate is 11.3% — elevated. Home values center near $240,400, an affordability ratio of 3.6× — accessible.

Overall, 18211 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 18211

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk83
+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