ZIP 23517 Property Distress & Foreclosure Data
DLRadar grades ZIP 23517 (Norfolk County, Virginia) at a low 28/100 for overall property distress. Structural risk reads 64/100 against active distress of 2/100. Property-level stress concentrates in construction/permit lag (100/100), structural risk (64/100), institutional ownership (17/100). On the quiet end sit institutional ownership (17/100) and mortgage stress (8/100). Environmental exposure also runs high (climate & FEMA risk (82/100), flood (NFIP) exposure (75/100)).
The peak-phase market in 23517 posted values that rose 4.2% over the year, and 15% higher over three years, at 38/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
The typical home is worth about $386,600 (5.6× income). 25% of housing is owner-occupied. There are about 3,030 housing units across 23517. Around 55% of adults hold a bachelor's degree or higher. At $63,556, median income runs below typical U.S. levels. Vacancy runs 4.0%. Rent burden reaches 44% of tenant households. The demographic-stress sub-score lands at 38/100. Population is roughly 4,550 with a median age of 33. The poverty rate is 10.5%.
On balance 23517 is mixed, rewarding parcel-by-parcel screening over broad assumptions. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.
Distress signal breakdown — ZIP 23517
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 Norfolk County
Unlock the full ZIP 23517 acquisition report
Get every distressed property in 23517 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