ZIP 02150 Property Distress & Foreclosure Data
DLRadar grades ZIP 02150 (Suffolk County, Massachusetts) at a low 25/100 for overall property distress. Structural risk reads 56/100 against active distress of 3/100. It additionally carries heavy environmental risk: climate & FEMA risk (93/100), flood (NFIP) exposure (89/100). Property-level stress concentrates in structural risk (56/100), construction/permit lag (44/100), institutional ownership (20/100). By contrast, institutional ownership (20/100) and mortgage stress (9/100) register low.
The market reads peak — home values rose 4.3% year on year, and 17% higher over three years, at 31/100 phase confidence. Topping markets hide individual distress behind strong averages.
About 39,444 people live here, median age 35. Vacancy runs 4.5%. There are about 14,165 housing units across 02150. 29% of housing is owner-occupied. Around 22% of adults hold a bachelor's degree or higher. At $72,122, median income runs near typical U.S. levels. The typical home is worth about $493,500 (6.6× income). The poverty rate is 20.6% — high, a tax-stress and distress correlate. The demographic-stress sub-score lands at 47/100. Rent burden reaches 46% of tenant households.
Net-net, 02150 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.
Distress signal breakdown — ZIP 02150
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 Suffolk County
Unlock the full ZIP 02150 acquisition report
Get every distressed property in 02150 with owner, address, APN, per-property distress score, bank exposure, exit-velocity read and a one-click funding + closing path. Nationwide, refreshed continuously.
Deterministic. Every signal traces to a public dataset · methodology