ZIP 01718 Foreclosure, Tax-Lien & Distress Report

Middlesex County, Massachusetts · Distress market

In Middlesex County, Massachusetts, ZIP 01718 scores 29 of 100 for composite distress, a low level on DLRadar's public-record index. It additionally carries heavy environmental risk: climate & FEMA risk (97/100), flood (NFIP) exposure (78/100). On the structural side it scores 67/100, with 2/100 of stress already active. Its standout signals are 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.

The market reads peak — home values rose 4.3% year on year (phase confidence 31/100). Topping markets hide individual distress behind strong averages.

The poverty rate is 0.0% — low. About 528 people live here, median age 40. The ZIP holds roughly 236 housing units. Around 70% of adults hold a bachelor's degree or higher. At $125,972, median income runs above typical U.S. levels. 96% of housing is owner-occupied. Around 0% of renters are cost-burdened. The typical home is worth about $375,800 (2.9× income, relatively affordable). The demographic-stress sub-score lands at 12/100. The vacancy rate is 0.0%.

Net-net, 01718 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 01718

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 01718 Stress Report snapshot

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Deterministic. Every signal traces to a public dataset · methodology