ZIP 13063 Property Distress & Foreclosure Data

DLRadar grades ZIP 13063 (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. The latent-versus-live split is 43/100 structural and 2/100 already moving. Climate and flood risk are elevated too — climate & FEMA risk (91/100), flood (NFIP) exposure (82/100).

Prices here sit in a expansion phase: values rose 8.0% over the trailing year, and 37% higher over three years (phase confidence 52/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

Households earn a median $80,250 — near the roughly $78,000 national figure. A median home runs $230,200 here, or 2.7 times local income. Roughly 4.8% live below the poverty line, a low share typical of higher-equity areas. Around 22% of renters are cost-burdened. About 29% have a four-year degree. On demographic stress specifically, 13063 scores 21/100. The tenure split is 90% owner-occupied to 10% rented. 1,644 residents call 13063 home, typically aged 50. The ZIP holds roughly 814 housing units. The vacancy rate is 1.7%.

On balance, 13063 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 13063

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