ZIP 80003 Foreclosure, Tax-Lien & Distress Report

Jefferson County, Colorado · Distress market

Jefferson County, Colorado's ZIP 80003 registers 27/100 composite distress, which DLRadar reads as low. The most distinctive pressure shows up in structural risk (57/100), construction/permit lag (50/100), institutional ownership (36/100). institutional ownership (36/100) and mortgage stress (14/100) stay muted. The latent-versus-live split is 57/100 structural and 4/100 already moving. Climate and flood risk are elevated too — climate & FEMA risk (95/100).

Prices here sit in a peak phase: values rose 0.8% over the trailing year, and 6% higher over three years (phase confidence 17/100). At a peak the opportunity is selective — specific stressed parcels, not a broad discount.

At $82,754, median income runs near typical U.S. levels. The poverty rate is 10.4%. 70% of housing is owner-occupied. Around 33% of adults hold a bachelor's degree or higher. The demographic-stress sub-score lands at 38/100. The typical home is worth about $534,700 (5.9× income). Around 54% of renters are cost-burdened. 35,381 residents call 80003 home, typically aged 38. The ZIP holds roughly 14,297 housing units. The vacancy rate is 2.3%.

Overall, 80003 shows a mixed profile — neither uniformly stressed nor insulated — so opportunity is property-specific. Every signal above traces to a verifiable public dataset, refreshed continuously and scored the same way in every ZIP nationwide.

27/100
Composite stress
57/100
Structural risk
4/100
Distress activity

Distress signal breakdown — ZIP 80003

Foreclosure activity0
Mortgage stress14
Climate / FEMA risk95
+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.

ZIP 80003 Stress Report snapshot

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Deterministic. Every signal traces to a public dataset · methodology