Transit times / Topocean Consolidation Service

Topocean Consolidation Service

2,268 ocean import shipments. Delayed 11.8 points more often than the dataset average of 43.8%.

2,268
Shipments
55.6%
Arrived late
1,261 shipments
4 days
Average delay, when late
median 3 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.

141
6.2%
Early
866
38.2%
On time
777
34.3%
1–3 days
246
10.8%
4–7 days
226
10%
8–14 days
12
0.5%
15+ days

By carrier

Top 12 of 15 carriers; 7 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. ONE
    29.6%
    1.3d
    477141 late
  2. Maersk
    26.1%
    1.8d
    38099 late
  3. MSC
    94.6%
    3.3d
    224212 late
  4. COSCO
    81.6%
    3.9d
    217177 late
  5. OOCL
    92.4%
    6d
    158146 late
  6. Zim
    53%
    3.2d
    14979 late
  7. HMM
    78.7%
    8.1d
    141111 late
  8. Hapag Lloyd
    67.4%
    4.7d
    13289 late
  9. Evergreen
    37.5%
    1.1d
    11242 late
  10. Yang Ming
    29.5%
    1.1d
    11233 late
  11. Wan Hai Lines
    100%
    4.6d
    8888 late
  12. CMA CGM
    62%
    7.6d
    7144 late

By route

Top 12 of 186 lanes; 1,534 shipments across the remaining 174 not shown.

% delayed avg days late, when laten = shipments
  1. Ning Bo > Los Angeles, Ca
    43.3%
    8.8d
    9039 late
  2. Yantian > Long Beach, Ca
    31.6%
    2.8d
    7624 late
  3. Vung Tau > Long Beach, Ca
    65.3%
    1.6d
    7247 late
  4. Pusan > Savannah, Ga.
    60%
    2.9d
    6539 late
  5. Yantian > Los Angeles, Ca
    20.3%
    8.4d
    6413 late
  6. Ning Bo > Savannah, Ga.
    93.1%
    3.7d
    5854 late
  7. Ning Bo > Newark, Nj
    75.4%
    6.7d
    5743 late
  8. Laem Chabang > Long Beach, Ca
    58.2%
    1.8d
    5532 late
  9. Shanghai > Los Angeles, Ca
    15.4%
    4.6d
    528 late
  10. Pusan > Newark, Nj
    23.1%
    12.1d
    5212 late
  11. Pusan > Long Beach, Ca
    42%
    4.8d
    5021 late
  12. Nagoya Ko > Los Angeles, Ca
    0%
    430 late

By supplier

Top 12 of 55 suppliers; 224 shipments across the remaining 43 not shown.

% delayed avg days late, when laten = shipments
  1. Topocean Consolidation Service
    52.2%
    4.6d
    1,285671 late
  2. Topocean Consolidation Service Viet
    61.9%
    2.8d
    236146 late
  3. Topocean Thailand Limited
    46.1%
    2.9d
    14165 late
  4. Pt Translindo Samudera Pacific
    63.9%
    3.9d
    6139 late
  5. Pt Translindo Nusa Pacific
    92.3%
    3.2d
    5248 late
  6. Topocean Consolidation
    71.7%
    4.8d
    4633 late
  7. Topocean Thailand Ltd
    59.5%
    3d
    4225 late
  8. Topocean Consolidation Service Lt
    92.7%
    3.4d
    4138 late
  9. Topocean Consolidation Svc Sdn Bhd
    53.8%
    2.4d
    3921 late
  10. Topocean Consolidation Service Los
    27%
    1.8d
    3710 late
  11. Topocean Consolidation Tianjin
    36.4%
    2.1d
    3312 late
  12. Topocean Consolidation Service Chin
    54.8%
    4.4d
    3117 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.

72.1%
n=111
2026-07-29
74.7%
n=186
2026-07-30
48%
n=148
2026-07-31
52.1%
n=165
2026-08-01
23.1%
n=169
2026-08-02
54.5%
n=132
2026-08-03
52.5%
n=158
2026-08-04
60.8%
n=176
2026-08-05
66.9%
n=175
2026-08-06
62.5%
n=280
2026-08-07
54%
n=63
2026-08-08
11.2%
n=116
2026-08-09
67.7%
n=124
2026-08-10
78.7%
n=94
2026-08-11
50.9%
n=171
2026-08-12

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. Los Angeles, Ca
    32.4%
    5d
    509165 late
  2. Long Beach, Ca
    61.1%
    3.5d
    457279 late
  3. Newark, Nj
    63%
    5.7d
    327206 late
  4. Savannah, Ga.
    73.2%
    3.9d
    313229 late
  5. Houston, Texas
    51.8%
    3.2d
    13771 late
  6. Oakland, Ca
    61.4%
    2.3d
    11470 late
  7. Tacoma, Wa
    42.6%
    1.2d
    6829 late
  8. Norfolk, Va.
    58.5%
    3.5d
    6538 late
  9. Baltimore, Md.
    54.7%
    2.2d
    6435 late
  10. Tampa, Fla.
    77.8%
    2.6d
    4535 late
  11. Charleston, S.C.
    83.7%
    4.5d
    4336 late
  12. Miami, Florida
    30.8%
    3.8d
    3912 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
    55.9%
    4.9d
    1,097613 late
  2. Vietnam
    60.8%
    2.9d
    370225 late
  3. Thailand
    48.8%
    2.8d
    213104 late
  4. Indonesia
    72.9%
    2.8d
    13397 late
  5. Taiwan
    40%
    2.4d
    8534 late
  6. United States of America
    20.5%
    1.2d
    8317 late
  7. Malaysia
    63.5%
    2.6d
    7447 late
  8. Grenada
    50.8%
    4.1d
    6533 late
  9. South Korea
    61.2%
    4.6d
    4930 late
  10. Cambodia
    45.5%
    2.6d
    2210 late
  11. Singapore
    90.9%
    7.7d
    2220 late
  12. India
    47.1%
    4.1d
    178 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 →