ZIP 92317 Property Distress & Foreclosure Data
ZIP code 92317 in San Bernardino County, California carries a composite property-distress score of 34/100 — a moderate reading on DLRadar's deterministic public-record index. Structural exposure scores 74 and live distress 7 on the 0–100 scale. What sets it apart are the readings on structural risk (74/100), institutional ownership (62/100), construction/permit lag (39/100). On the quiet end sit construction/permit lag (39/100) and mortgage stress (24/100). Environmental exposure also runs high (climate & FEMA risk (100/100), flood (NFIP) exposure (90/100), FEMA disaster exposure (79/100)).
The peak-phase market in 92317 posted values that rose 1.5% over the year, at 25/100 phase confidence. Near a top, distress surfaces unevenly, so parcel screening beats headline strength.
Population is roughly 708 with a median age of 52. There are about 1,075 housing units across 92317. The tenure split is 80% owner-occupied to 20% rented. On demographic stress specifically, 92317 scores 53/100. A median home runs $571,900 here, or 10.8 times local income. Vacancy runs 67.0%, above the national norm and a classic distress-and-opportunity signal. About 47% have a four-year degree. Households earn a median $50,625 — below the roughly $78,000 national figure. Roughly 0.0% live below the poverty line, a low share typical of higher-equity areas. Rent burden reaches 59% of tenant households.
On the whole, 92317 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 92317
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 San Bernardino County
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Deterministic. Every signal traces to a public dataset · methodology