ZIP 18822 Property Distress & Foreclosure Data

ZIP code 18822 in Susquehanna County, Pennsylvania carries a composite property-distress score of 27/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on structural risk (60/100), construction/permit lag (58/100), institutional ownership (56/100). On the quiet end sit mortgage stress (25/100). On the structural side it scores 60/100, with 8/100 of stress already active. Environmental exposure also runs high (flood (NFIP) exposure (74/100), FEMA disaster exposure (73/100)).

The expansion-phase market in 18822 posted values that rose 5.1% over the year (phase confidence 41/100). Rising prices can mask pockets of distress, where per-parcel scoring earns its keep.

77% of housing is owner-occupied. Population is roughly 3,079 with a median age of 48. The ZIP holds roughly 1,563 housing units. Around 45% of renters are cost-burdened. At $58,200, median income runs below typical U.S. levels. Around 17% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 31/100. The vacancy rate is 17.8% — elevated. The poverty rate is 12.8%. The typical home is worth about $204,100 (2.9× income, relatively affordable).

On the whole, 18822 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

27/100
Composite stress
60/100
Structural risk
8/100
Distress activity

Distress signal breakdown — ZIP 18822

Foreclosure activity0
Mortgage stress25
Climate / FEMA risk55
+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 Susquehanna County

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Deterministic. Every signal traces to a public dataset · methodology