ZIP 27018 Property Distress & Foreclosure Data

DLRadar grades ZIP 27018 (Yadkin County, North Carolina) at a low 21/100 for overall property distress. Environmental exposure also runs high (FEMA disaster exposure (94/100)). Property-level stress concentrates in construction/permit lag (62/100), institutional ownership (51/100), structural risk (46/100). On the quiet end sit mortgage stress (20/100). Structural risk reads 46/100 against active distress of 6/100.

The peak-phase market in 27018 posted values that rose 4.0% over the year, and 26% higher over three years, at 40/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.

Vacancy runs 15.0%, above the national norm and a classic distress-and-opportunity signal. A median home runs $234,500 here, or 3.4 times local income. The tenure split is 82% owner-occupied to 18% rented. Rent burden reaches 42% of tenant households. On demographic stress specifically, 27018 scores 31/100. About 19% have a four-year degree. Population is roughly 7,838 with a median age of 43. There are about 3,448 housing units across 27018. Roughly 11.8% live below the poverty line. Households earn a median $66,725 — below the roughly $78,000 national figure.

On the whole, 27018 leans distressed, with opportunity clustered in specific stressed parcels. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

21/100
Composite stress
46/100
Structural risk
6/100
Distress activity

Distress signal breakdown — ZIP 27018

Foreclosure activity0
Mortgage stress20
Climate / FEMA risk36
+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.

Nearby ZIPs in Yadkin County

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Deterministic. Every signal traces to a public dataset · methodology