ZIP 03253 Property Distress & Foreclosure Data

DLRadar grades ZIP 03253 (Belknap County, New Hampshire) at a minimal 11/100 for overall property distress. Property-level stress concentrates in structural risk (23/100), construction/permit lag (15/100), mortgage stress (8/100). mortgage stress (8/100) and institutional ownership (3/100) stay muted. Climate and flood risk are elevated too — climate & FEMA risk (62/100). On the structural side it scores 23/100, with 2/100 of stress already active.

Prices here sit in a expansion phase: values rose 5.6% over the trailing year, and 19% higher over three years (phase confidence 37/100). Even climbing markets leave specific parcels in distress; the scoring isolates them.

Households earn a median $69,808 — near the roughly $78,000 national figure. 6,677 residents call 03253 home, typically aged 55. On demographic stress specifically, 03253 scores 38/100. The ZIP holds roughly 5,005 housing units. Roughly 10.5% live below the poverty line. The tenure split is 77% owner-occupied to 23% rented. Around 31% of renters are cost-burdened. A median home runs $482,700 here, or 6.4 times local income. About 44% have a four-year degree. The vacancy rate is 38.9% — elevated.

Taken together, 03253 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.

11/100
Composite stress
23/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 03253

Foreclosure activity0
Mortgage stress8
Climate / FEMA risk62
+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 Belknap County

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Deterministic. Every signal traces to a public dataset · methodology