ZIP 01748 Foreclosure, Tax-Lien & Distress Report

Middlesex County, Massachusetts · High Value market

Middlesex County, Massachusetts's ZIP 01748 registers 29/100 composite distress, which DLRadar reads as low. It additionally carries heavy environmental risk: climate & FEMA risk (97/100), flood (NFIP) exposure (78/100). The most distinctive pressure shows up in construction/permit lag (91/100), structural risk (67/100), institutional ownership (18/100). By contrast, institutional ownership (18/100) and mortgage stress (7/100) register low. Structural risk reads 67/100 against active distress of 2/100.

The market reads peak — home values rose 4.3% year on year, and 23% higher over three years, at 31/100 phase confidence. Topping markets hide individual distress behind strong averages.

The typical home is worth about $802,700 (3.5× income, relatively affordable). Vacancy runs 4.0%. About 19,050 people live here, median age 41. Around 76% of adults hold a bachelor's degree or higher. 85% of housing is owner-occupied. Rent burden reaches 50% of tenant households. The demographic-stress sub-score lands at 24/100. There are about 6,936 housing units across 01748. The poverty rate is 3.3% — low. At $204,418, median income runs above typical U.S. levels.

Net-net, 01748 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.

29/100
Composite stress
67/100
Structural risk
2/100
Distress activity

Distress signal breakdown — ZIP 01748

Foreclosure activity0
Mortgage stress7
Climate / FEMA risk97
+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.

ZIP 01748 Stress Report snapshot

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Deterministic. Every signal traces to a public dataset · methodology