ZIP 06235 Property Distress & Foreclosure Data
ZIP code 06235 in Connecticut carries a composite property-distress score of 0/100 — a minimal reading on DLRadar's deterministic public-record index. What sets it apart are the readings on institutional ownership (3/100), mortgage stress (1/100), structural risk (1/100). mortgage stress (1/100) and structural risk (1/100) stay muted. Structural risk reads 1/100 against active distress of 0/100.
Prices here sit in a expansion phase: values rose 5.4% over the trailing year, and 37% higher over three years, at 48/100 phase confidence. Even climbing markets leave specific parcels in distress; the scoring isolates them.
There are about 904 housing units across 06235. Median household income is $96,944, above the U.S. median near $78,000. Owners hold 84% of homes, renters 16%. 6.9% of residents fall below the poverty threshold. Home values center near $256,300, an affordability ratio of 2.5× — accessible. Rent burden reaches 38% of tenant households. 2,116 residents call 06235 home, typically aged 41. DLRadar's demographic-stress index for the area reads 25/100. Vacancy runs 4.0%. Educational attainment sits at 24% bachelor's-or-above.
On balance, 06235 reads as a higher-equity, stable market where distress is selective and worth pinpointing parcel by parcel. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 06235
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.
Unlock the full ZIP 06235 acquisition report
Get every distressed property in 06235 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