ZIP 03230 Property Distress & Foreclosure Data

DLRadar grades ZIP 03230 (Merrimack County, New Hampshire) at a low 20/100 for overall property distress. Structural exposure scores 45 and live distress 1 on the 0–100 scale. It additionally carries heavy environmental risk: climate & FEMA risk (81/100). Property-level stress concentrates in construction/permit lag (80/100), structural risk (45/100), mortgage stress (3/100). By contrast, mortgage stress (3/100) and institutional ownership (3/100) register low.

The market reads expansion — home values rose 5.6% year on year, and 70% higher over three years, at 37/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.

The typical home is worth about $240,700 (3.2× income, relatively affordable). The poverty rate is 15.2%. About 1,539 people live here, median age 46. There are about 773 housing units across 03230. Vacancy runs 15.2%, above the national norm and a classic distress-and-opportunity signal. Around 17% of adults hold a bachelor's degree or higher. 93% of housing is owner-occupied. The demographic-stress sub-score lands at 30/100. At $66,458, median income runs below typical U.S. levels. Rent burden reaches 40% of tenant households.

Net-net, 03230 is a working-distress ZIP — the kind that rewards current, parcel-level intelligence. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

20/100
Composite stress
45/100
Structural risk
1/100
Distress activity

Distress signal breakdown — ZIP 03230

Foreclosure activity0
Mortgage stress3
Climate / FEMA risk81
+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 Merrimack County

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Deterministic. Every signal traces to a public dataset · methodology