Research / U.S. DOT Rail Equipment Accident/Incident Data Subset Pulse

U.S. DOT Rail Equipment Accident/Incident Data Subset Pulse: 2026 statistics from 797 public records

The most common classification is UP: 304 of 797 records (38.1%) (as of 2026-11-03; source: USDOT DataHub — Rail Equipment Accident/Incident Data Subset (byy5-w977)).

Data as of · Compiled by Zalwin from USDOT DataHub — Rail Equipment Accident/Incident Data Subset (byy5-w977)

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Key findings

  1. Zalwin's U.S. DOT Rail Equipment Accident/Incident Data Subset Pulse dataset holds 797 U.S. DOT Rail Equipment Accident/Incident Data Subset Pulse records dated 2026-04-20 to 2026-11-03 (as of 2026-11-03; source: USDOT DataHub — Rail Equipment Accident/Incident Data Subset (byy5-w977)). #
  2. The most common classification is UP: 304 of 797 records (38.1%) (as of 2026-11-03; source: USDOT DataHub — Rail Equipment Accident/Incident Data Subset (byy5-w977)). #
  3. Across 705 records with a stated min metric / volume, the total is 159,839,464 and the median is 28,732; the largest is 5,988,347 (BNSF Railway Company — BNSF (BNSF)) (as of 2026-11-03; source: USDOT DataHub — Rail Equipment Accident/Incident Data Subset (byy5-w977)). #
  4. The top 10% of records by min metric / volume (71 of 705) account for 72.5% of the total (as of 2026-11-03; source: USDOT DataHub — Rail Equipment Accident/Incident Data Subset (byy5-w977)). #
  5. 6 of 797 records (0.8%) are dated within the 30 days before 2026-11-03 (source: USDOT DataHub — Rail Equipment Accident/Incident Data Subset (byy5-w977)). #

U.S. DOT Rail Equipment Accident/Incident Data Subset Pulse records by classification

GroupRecordsShare
UP30438.1%
BNSF18723.5%
NS15619.6%
CPKC222.8%
FEC172.1%
MP60.8%
WE50.6%
KYLE50.6%
TNER40.5%
CFE40.5%
ZRCR30.4%
ZAEA30.4%
XSXR30.4%
XNCG30.4%
XMMM30.4%

Methodology and data provenance

Cite this study

Zalwin Research, "U.S. DOT Rail Equipment Accident/Incident Data Subset Pulse statistics" (data as of 2026-11-03), https://zalwin.com/research/usrailequipmentaccidbyy5pulse

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