Transit times / American Honda Motor Co Inc

American Honda Motor Co Inc

198 ocean import shipments. Delayed 1.9 points less often than the dataset average of 43.8%.

198
Shipments
41.9%
Arrived late
83 shipments
2 days
Average delay, when late
median 2 days
4 days
Worst single delay

How late, when late

Every shipment placed in a band. Early and on-time are shown too, so the delayed share is read against the whole, not on its own.

5
2.5%
Early
110
55.6%
On time
78
39.4%
1–3 days
5
2.5%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 7 carriers used.

% delayed avg days late, when laten = shipments
  1. ONE
    18.8%
    1.2d
    6412 late
  2. Maersk
    50.8%
    1.9d
    6131 late
  3. CMA CGM
    100%
    2.4d
    3030 late
  4. Evergreen
    6.3%
    1d
    161 late
  5. SSBF
    0%
    150 late
  6. OOCL
    72.7%
    1.8d
    118 late
  7. KKLU
    100%
    1d
    11 late

By route

Top 12 of 36 lanes; 54 shipments across the remaining 24 not shown.

% delayed avg days late, when laten = shipments
  1. Nagoya Ko > Los Angeles, Ca
    5.6%
    1d
    181 late
  2. Pusan > Charleston, S.C.
    100%
    2.2d
    1717 late
  3. Cartagena > New Orleans, La.
    100%
    1.3d
    1616 late
  4. Pusan > Norfolk, Va.
    81.3%
    2.8d
    1613 late
  5. Laem Chabang > Long Beach, Ca
    6.7%
    2d
    151 late
  6. Nagoya Ko > Seattle, Wa
    0%
    120 late
  7. Vung Tau > Norfolk, Va.
    63.6%
    1d
    117 late
  8. Yangshan > Tacoma, Wa
    100%
    3d
    1010 late
  9. Kaohsiung > Los Angeles, Ca
    0%
    90 late
  10. Yangshan > Norfolk, Va.
    0%
    80 late
  11. Pusan > Tacoma, Wa
    16.7%
    1d
    61 late
  12. Kaohsiung > Norfolk, Va.
    16.7%
    1d
    61 late

By supplier

Top 12 of 13 suppliers; 1 shipments across the remaining 1 not shown.

% delayed avg days late, when laten = shipments
  1. Honda Motor Co Ltd
    38.6%
    2.3d
    10139 late
  2. Thai Honda Co Ltd
    51.9%
    1.3d
    5428 late
  3. Asian Honda Motor Co Ltd
    0%
    140 late
  4. Honda Motorcycle Shanghai Co Ltd
    87.5%
    2.7d
    87 late
  5. Honda Power Products China Co Ltd
    100%
    3d
    55 late
  6. Honda Motor Co Ltd Tyo
    50%
    1d
    42 late
  7. Moto Honda Da Amazonia Ltda
    0%
    30 late
  8. Honda Access Taiwan Co Ltd
    0%
    20 late
  9. Honda Motor Company Ltd
    100%
    1d
    22 late
  10. Honda Motor Europe Logistics Nv
    0%
    20 late
  11. Solas Science & Engineering Co
    0%
    10 late
  12. Honda Access China Corp
    0%
    10 late

By vessel

Vessel names are in the most recent data only — 198 of 198 shipments (100%) name one, across 47 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Cma Cgm J. Madison
    100%
    3.4d
    1212 late
  2. As Samanta
    100%
    1d
    1212 late
  3. Cma Cgm J. Adams
    100%
    1.7d
    1212 late
  4. Budapest Express
    100%
    3d
    1010 late
  5. Navios Cyan
    0%
    100 late
  6. Ever Mild
    0%
    90 late
  7. Mol Proficiency
    11.1%
    1d
    91 late
  8. Nadi Chief
    0%
    90 late
  9. Hmm Hope
    0%
    70 late
  10. One Aquila
    100%
    1d
    77 late
  11. Gjertrud Maersk
    0%
    60 late
  12. One Forever
    0%
    60 late

Delay rate by arrival date

Share of each day’s arrivals that came in late. A single late vessel puts the same delay on every container it carried, so a tall isolated bar is usually one sailing rather than a bad week — the count under each bar is the check on that.

0%
n=9
2026-07-27
70.8%
n=24
2026-07-28
29.4%
n=17
2026-07-29
0%
n=10
2026-07-30
64.7%
n=17
2026-07-31
60%
n=5
2026-08-01
0%
n=8
2026-08-02
81.8%
n=11
2026-08-03
10%
n=10
2026-08-04
68.2%
n=22
2026-08-05
41.2%
n=17
2026-08-06
26.3%
n=19
2026-08-07
0%
n=1
2026-08-08
0%
n=6
2026-08-09
100%
n=4
2026-08-10
33.3%
n=18
2026-08-11

By destination port

Where the delay actually lands — a congested discharge port shows up here rather than under the carrier.

% delayed avg days late, when laten = shipments
  1. Norfolk, Va.
    42%
    2.1d
    5021 late
  2. Los Angeles, Ca
    22.7%
    1.9d
    4410 late
  3. Charleston, S.C.
    80%
    2d
    2520 late
  4. Long Beach, Ca
    13.6%
    1.3d
    223 late
  5. Tacoma, Wa
    52.4%
    2.8d
    2111 late
  6. New Orleans, La.
    100%
    1.3d
    1616 late
  7. Seattle, Wa
    0%
    150 late
  8. Houston, Texas
    0%
    20 late
  9. Savannah, Ga.
    100%
    3d
    11 late
  10. New York, N.Y.
    0%
    10 late
  11. Honolulu, Hawaii
    100%
    1d
    11 late

By supplier country

Origin-side effects: a country whose shipments are consistently late points at booking or documentation, not at the ocean leg.

% delayed avg days late, when laten = shipments
  1. Japan
    40.2%
    2.1d
    10743 late
  2. Thailand
    41.8%
    1.3d
    6728 late
  3. China
    85.7%
    2.8d
    1412 late
  4. Brazil
    0%
    30 late
  5. Taiwan
    0%
    30 late
  6. United Kingdom
    0%
    20 late
  7. Vietnam
    0%
    10 late
  8. India
    0%
    10 late

Reading this

Delay is measured against each shipment’s own estimated arrival on the same manifest record, so it reflects what was promised for that shipment. Average days late is taken over delayed shipments only.

A delay is usually a property of one sailing: every container off a late ship arrives the same day. It is not only that — an estimated arrival is set per bill of lading at booking, so two containers on the same ship can carry different delays. Across the shipments that name a vessel, two thirds of same-ship, same-day groups share a single delay value and a third do not.

Watch the counts. A carrier or lane with a handful of shipments can show a dramatic rate off one or two late arrivals — the n beside every bar is there so a small sample is never mistaken for a pattern.

Track a shipment live →