ZIP 20015 Property Distress & Foreclosure Data
DLRadar grades ZIP 20015 (District of Columbia) at a low 26/100 for overall property distress. Structural risk reads 58/100 against active distress of 2/100. It additionally carries heavy environmental risk: climate & FEMA risk (98/100), flood (NFIP) exposure (71/100). Property-level stress concentrates in construction/permit lag (58/100), structural risk (58/100), institutional ownership (18/100). By contrast, institutional ownership (18/100) and mortgage stress (8/100) register low.
The market reads neutral — home values rose 3.0% year on year, and 10% higher over three years, at 25/100 phase confidence. Appreciation rarely lifts every parcel — the laggards are the opportunity.
The typical home is worth about $1,245,600 (4.8× income). At $250,001, median income runs above typical U.S. levels. About 15,413 people live here, median age 46. 78% of housing is owner-occupied. The poverty rate is 2.6% — low. There are about 6,828 housing units across 20015. Rent burden reaches 36% of tenant households. Around 86% of adults hold a bachelor's degree or higher. Vacancy runs 7.1%. The demographic-stress sub-score lands at 25/100.
Net-net, 20015 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.
Distress signal breakdown — ZIP 20015
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 ZIP distress reports
Unlock the full ZIP 20015 acquisition report
Get every distressed property in 20015 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