ZIP 14716 Property Distress & Foreclosure Data

Composite property distress in 14716 (Chautauqua County, New York) lands at 17/100 — low on DLRadar's public-record scoring. Climate and flood risk are elevated too — climate & FEMA risk (83/100). On the structural side it scores 35/100, with 1/100 of stress already active. The sharpest non-environmental signals are construction/permit lag (40/100), structural risk (35/100), mortgage stress (5/100). mortgage stress (5/100) and institutional ownership (3/100) stay muted.

Prices here sit in a expansion phase: values rose 6.3% over the trailing year (phase confidence 39/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

21.6% of residents fall below the poverty threshold. Educational attainment sits at 19% bachelor's-or-above. Owners hold 67% of homes, renters 33%. The ZIP holds roughly 833 housing units. Median household income is $54,697, below the U.S. median near $78,000. DLRadar's demographic-stress index for the area reads 29/100. 2,343 residents call 14716 home, typically aged 36. The vacancy rate is 13.6% — elevated. Around 33% of renters are cost-burdened. Home values center near $109,700, an affordability ratio of 2.0× — accessible.

Taken together, 14716 profiles as an active-distress market where motivated-seller and below-market acquisitions concentrate. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

17/100
Composite stress
35/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 14716

Foreclosure activity0
Mortgage stress5
Climate / FEMA risk83
+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 Chautauqua County

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Deterministic. Every signal traces to a public dataset · methodology