ZIP 81235 Property Distress & Foreclosure Data
DLRadar grades ZIP 81235 (Hinsdale County, Colorado) at a minimal 6/100 for overall property distress. The latent-versus-live split is 15/100 structural and 4/100 already moving. Property-level stress concentrates in construction/permit lag (56/100), structural risk (15/100), mortgage stress (13/100). On the quiet end sit mortgage stress (13/100) and institutional ownership (3/100).
The peak-phase market in 81235 posted values that rose 3.3% over the year, and 12% higher over three years (phase confidence 29/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Households earn a median $67,750 — below the roughly $78,000 national figure. The ZIP holds roughly 960 housing units. Around 19% of renters are cost-burdened. The vacancy rate is 57.5% — elevated. A median home runs $465,300 here, or 6.7 times local income. The tenure split is 79% owner-occupied to 22% rented. About 48% have a four-year degree. On demographic stress specifically, 81235 scores 37/100. Roughly 5.0% live below the poverty line, a low share typical of higher-equity areas. Population is roughly 845 with a median age of 50.
On the whole, 81235 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.
Distress signal breakdown — ZIP 81235
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 Hinsdale County
Unlock the full ZIP 81235 acquisition report
Get every distressed property in 81235 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