ZIP 13090 Property Distress & Foreclosure Data

DLRadar grades ZIP 13090 (Onondaga County, New York) at a low 20/100 for overall property distress. Property-level stress concentrates in structural risk (43/100), institutional ownership (19/100), mortgage stress (8/100). institutional ownership (19/100) and mortgage stress (8/100) stay muted. Climate and flood risk are elevated too — climate & FEMA risk (91/100), flood (NFIP) exposure (82/100). On the structural side it scores 43/100, with 2/100 of stress already active.

Prices here sit in a expansion phase: values rose 8.0% over the trailing year, and 34% higher over three years (phase confidence 52/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

Roughly 10.8% live below the poverty line. The tenure split is 69% owner-occupied to 31% rented. Households earn a median $90,315 — above the roughly $78,000 national figure. The vacancy rate is 3.0%. Around 29% of renters are cost-burdened. 29,180 residents call 13090 home, typically aged 38. About 42% have a four-year degree. The ZIP holds roughly 12,746 housing units. On demographic stress specifically, 13090 scores 23/100. A median home runs $213,100 here, or 2.2 times local income.

On balance, 13090 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

20/100
Composite stress
43/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 13090

Foreclosure activity0
Mortgage stress8
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 Onondaga County

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Deterministic. Every signal traces to a public dataset · methodology