Transit times / Boc International Inc

Boc International Inc

330 ocean import shipments. Delayed 34.7 points more often than the dataset average of 43.8%.

330
Shipments
78.5%
Arrived late
259 shipments
4.4 days
Average delay, when late
median 2 days
30 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.

7
2.1%
Early
64
19.4%
On time
150
45.5%
1–3 days
49
14.8%
4–7 days
55
16.7%
8–14 days
5
1.5%
15+ days

By carrier

Top 12 of 15 carriers; 5 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. COSCO
    92%
    3.6d
    8780 late
  2. OOCL
    95.5%
    7d
    6764 late
  3. ONE
    19%
    1.3d
    428 late
  4. Zim
    72.5%
    2d
    4029 late
  5. MSC
    90.6%
    4.4d
    3229 late
  6. Yang Ming
    92.3%
    1.5d
    1312 late
  7. HMM
    100%
    6.2d
    1111 late
  8. Hapag Lloyd
    45.5%
    3.6d
    115 late
  9. Maersk
    85.7%
    1d
    76 late
  10. Wan Hai Lines
    100%
    11.3d
    77 late
  11. Matson
    40%
    3d
    52 late
  12. CMA CGM
    100%
    7d
    33 late

By route

Top 12 of 89 lanes; 175 shipments across the remaining 77 not shown.

% delayed avg days late, when laten = shipments
  1. Yantian > Tacoma, Wa
    85.7%
    3.7d
    2118 late
  2. Pusan > Seattle, Wa
    100%
    4.6d
    1919 late
  3. Ning Bo > Long Beach, Ca
    93.8%
    3.1d
    1615 late
  4. Xiamen > Newark, Nj
    86.7%
    5.5d
    1513 late
  5. Hai Phong > Long Beach, Ca
    61.5%
    3.6d
    138 late
  6. Yantian > Long Beach, Ca
    66.7%
    1.8d
    128 late
  7. Ning Bo > Seattle, Wa
    100%
    6.9d
    1111 late
  8. Ning Bo > Newark, Nj
    100%
    5d
    1010 late
  9. Shanghai > Los Angeles, Ca
    80%
    7.3d
    108 late
  10. Yangshan > Savannah, Ga.
    100%
    8.4d
    1010 late
  11. Vung Tau > Long Beach, Ca
    50%
    2d
    105 late
  12. Shanghai > Newark, Nj
    87.5%
    3.1d
    87 late

By supplier

Top 12 of 29 suppliers; 24 shipments across the remaining 17 not shown.

% delayed avg days late, when laten = shipments
  1. Seamaster Global Forwarding
    82.2%
    3.4d
    9074 late
  2. Seamaster Logistics Inc
    96.3%
    5.7d
    8178 late
  3. Seamaster Global Forwarding Hk Li
    92.3%
    2.7d
    3936 late
  4. Toll Global Forwarding Hong Kong
    93.1%
    7.9d
    2927 late
  5. Grandlink Logistics Co Ltd
    20%
    1.5d
    204 late
  6. Toll Global Forwarding Vietnam
    33.3%
    3.2d
    155 late
  7. Rs Logistics Limited
    87.5%
    4.4d
    87 late
  8. Ecu Worldwide Kenya Ltd
    83.3%
    1d
    65 late
  9. Toll Global Forwarding India Pvt
    33.3%
    6.5d
    62 late
  10. Pt Atlantic Container Lini
    75%
    4.7d
    43 late
  11. Toll Global Forwarding Vietnam Co
    50%
    12d
    42 late
  12. Seamaster Global
    100%
    4d
    44 late

By vessel

Vessel names are in the most recent data only — 330 of 330 shipments (100%) name one, across 86 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc Mexico V
    100%
    5d
    1717 late
  2. Cosco Shipping Orchid
    100%
    6.6d
    1515 late
  3. Zim Mount Blanc
    100%
    1.1d
    1414 late
  4. Ever Favor
    100%
    1d
    1313 late
  5. Cosco Portugal
    100%
    8.5d
    1212 late
  6. Zim Mount Denali
    81.8%
    2.9d
    119 late
  7. Zeal Lumos
    0%
    110 late
  8. One Sprinter
    81.8%
    1.7d
    119 late
  9. Cosco Shipping Denali
    100%
    2d
    1111 late
  10. Oocl France
    100%
    10.5d
    1010 late
  11. Hmm Nuri
    66.7%
    9d
    96 late
  12. Cma Cgm J. Madison
    77.8%
    2.3d
    97 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.

93.3%
n=45
2026-07-27
61.1%
n=18
2026-07-28
85.7%
n=14
2026-07-29
80%
n=15
2026-07-30
73.9%
n=23
2026-07-31
63.6%
n=11
2026-08-01
70%
n=30
2026-08-02
84.6%
n=13
2026-08-03
76.5%
n=34
2026-08-04
80%
n=15
2026-08-05
100%
n=12
2026-08-06
96.3%
n=27
2026-08-07
55.6%
n=9
2026-08-08
38.9%
n=18
2026-08-09
58.8%
n=17
2026-08-10
96.6%
n=29
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. Long Beach, Ca
    65.1%
    3.6d
    8656 late
  2. Newark, Nj
    84.8%
    5.6d
    7967 late
  3. Seattle, Wa
    100%
    5.4d
    3030 late
  4. Savannah, Ga.
    86.2%
    6.2d
    2925 late
  5. Boston, Mass.
    100%
    1d
    2525 late
  6. Tacoma, Wa
    75%
    3.7d
    2418 late
  7. Los Angeles, Ca
    70%
    5.4d
    2014 late
  8. Oakland, Ca
    62.5%
    2.8d
    85 late
  9. Norfolk, Va.
    42.9%
    4.3d
    73 late
  10. Charleston, S.C.
    57.1%
    3.5d
    74 late
  11. Miami, Florida
    66.7%
    2.5d
    64 late
  12. Houston, Texas
    75%
    6d
    43 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. China
    89.4%
    5.2d
    180161 late
  2. Vietnam
    69%
    4.4d
    4229 late
  3. Grenada
    91.7%
    1.9d
    2422 late
  4. Thailand
    23.8%
    1.4d
    215 late
  5. India
    33.3%
    7d
    93 late
  6. Malaysia
    85.7%
    3.5d
    76 late
  7. Taiwan
    85.7%
    7.8d
    76 late
  8. Kenya
    83.3%
    1d
    65 late
  9. Fiji
    100%
    2.7d
    66 late
  10. Indonesia
    60%
    4.7d
    53 late
  11. Saint Helena
    100%
    2d
    55 late
  12. Hong Kong S.A.R.
    75%
    1d
    43 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 →