ZIP 44455 Property Distress & Foreclosure Data
In Columbiana County, Ohio, ZIP 44455 scores 13 of 100 for composite distress, a minimal level on DLRadar's public-record index. Climate and flood risk are elevated too — climate & FEMA risk (68/100). Its standout signals are construction/permit lag (30/100), structural risk (28/100), mortgage stress (3/100). mortgage stress (3/100) and institutional ownership (3/100) stay muted. Structural exposure scores 28 and live distress 1 on the 0–100 scale.
Prices here sit in a expansion phase: values rose 5.1% over the trailing year, at 36/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.
1,662 residents call 44455 home, typically aged 40. The poverty rate is 4.4% — low. Vacancy runs 7.0%. At $68,550, median income runs below typical U.S. levels. The typical home is worth about $162,500 (2.3× income, relatively affordable). The demographic-stress sub-score lands at 33/100. There are about 583 housing units across 44455. Rent burden reaches 86% of tenant households. 88% of housing is owner-occupied. Around 12% of adults hold a bachelor's degree or higher.
Overall, 44455 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.
Distress signal breakdown — ZIP 44455
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 Columbiana County
Unlock the full ZIP 44455 acquisition report
Get every distressed property in 44455 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology