ZIP 03062 Property Distress & Foreclosure Data

ZIP code 03062 in Hillsborough County, New Hampshire carries a composite property-distress score of 26/100 — a low reading on DLRadar's deterministic public-record index. What sets it apart are the readings on construction/permit lag (85/100), structural risk (60/100), institutional ownership (14/100). By contrast, institutional ownership (14/100) and mortgage stress (6/100) register low. On the structural side it scores 60/100, with 2/100 of stress already active. It additionally carries heavy environmental risk: climate & FEMA risk (91/100).

The market reads expansion — home values rose 5.4% year on year, and 25% higher over three years (phase confidence 40/100). Appreciation rarely lifts every parcel — the laggards are the opportunity.

At $102,849, median income runs above typical U.S. levels. The demographic-stress sub-score lands at 27/100. Around 36% of renters are cost-burdened. The ZIP holds roughly 12,215 housing units. The poverty rate is 3.1% — low. 69% of housing is owner-occupied. Around 49% of adults hold a bachelor's degree or higher. The vacancy rate is 3.2%. The typical home is worth about $436,600 (3.9× income, relatively affordable). About 28,713 people live here, median age 42.

Net-net, 03062 is middle-of-the-pack, where the deals are specific addresses rather than the whole ZIP. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

26/100
Composite stress
60/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 03062

Foreclosure activity0
Mortgage stress6
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 Hillsborough County

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Deterministic. Every signal traces to a public dataset · methodology