ZIP 16668 Foreclosure, Tax-Lien & Distress Report
Cambria County, Pennsylvania · Affordable market
In Cambria County, Pennsylvania, ZIP 16668 scores 42 of 100 for composite distress, a moderate level on DLRadar's public-record index. Environmental exposure also runs high (flood (NFIP) exposure (78/100), climate & FEMA risk (75/100), FEMA disaster exposure (73/100)). The latent-versus-live split is 67/100 structural and 7/100 already moving. Its standout signals are structural risk (67/100), institutional ownership (57/100), construction/permit lag (55/100). On the quiet end sit price dislocation (25/100) and mortgage stress (23/100).
The peak-phase market in 16668 posted values that rose 3.1% over the year, 6.2% off the recent peak (phase confidence 55/100). Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
The typical home is worth about $114,700 (1.8× income, relatively affordable). The poverty rate is 11.7%. At $60,947, median income runs below typical U.S. levels. Around 19% of adults hold a bachelor's degree or higher. Around 24% of renters are cost-burdened. 78% of housing is owner-occupied. The vacancy rate is 10.7%. The demographic-stress sub-score lands at 23/100. The ZIP holds roughly 1,637 housing units. Population is roughly 3,620 with a median age of 45.
On balance 16668 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 16668
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 16668 Stress Report snapshot
Live ZIP-level distress, market-phase, housing and bank-pressure read — the same report attached to every property.
Nearby ZIPs in Cambria County
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Deterministic. Every signal traces to a public dataset · methodology