ZIP 18219 Property Distress & Foreclosure Data

ZIP code 18219 in Luzerne County, Pennsylvania carries a composite property-distress score of 26/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (58/100), structural risk (58/100), institutional ownership (19/100). On the quiet end sit institutional ownership (19/100) and mortgage stress (9/100). The latent-versus-live split is 58/100 structural and 3/100 already moving. Environmental exposure also runs high (climate & FEMA risk (91/100), flood (NFIP) exposure (85/100)).

The expansion-phase market in 18219 posted values that rose 6.8% over the year (phase confidence 46/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

At $67,941, median income runs below typical U.S. levels. The demographic-stress sub-score lands at 22/100. The poverty rate is 8.4%. The vacancy rate is 9.5%. Around 0% of renters are cost-burdened. The typical home is worth about $236,200 (3.2× income, relatively affordable). Around 34% of adults hold a bachelor's degree or higher. The ZIP holds roughly 600 housing units. Population is roughly 1,072 with a median age of 53. 71% of housing is owner-occupied.

On balance 18219 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

26/100
Composite stress
58/100
Structural risk
3/100
Distress activity

Distress signal breakdown — ZIP 18219

Foreclosure activity0
Mortgage stress9
Climate / FEMA risk91
+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 Luzerne County

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Deterministic. Every signal traces to a public dataset · methodology