Transit times / Topocean Consolidation

Topocean Consolidation

85 ocean import shipments. Delayed 37.4 points more often than the dataset average of 43.8%.

85
Shipments
81.2%
Arrived late
69 shipments
2.6 days
Average delay, when late
median 2 days
8 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.

0
0%
Early
16
18.8%
On time
60
70.6%
1–3 days
7
8.2%
4–7 days
2
2.4%
8–14 days
0
0%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. Zim
    85.5%
    2.5d
    5547 late
  2. Hapag Lloyd
    83.3%
    2.4d
    1210 late
  3. ONE
    50%
    1.6d
    105 late
  4. CMA CGM
    100%
    4.8d
    66 late
  5. Yang Ming
    100%
    1d
    11 late
  6. Seth Shipping
    0%
    10 late

By route

Top 12 of 21 lanes; 10 shipments across the remaining 9 not shown.

% delayed avg days late, when laten = shipments
  1. Shanghai > Savannah, Ga.
    100%
    3d
    3131 late
  2. Shanghai > Los Angeles, Ca
    62.5%
    2d
    85 late
  3. Shanghai > Norfolk, Va.
    50%
    2.7d
    63 late
  4. Shanghai > Charleston, S.C.
    100%
    2.8d
    55 late
  5. Shanghai > Baltimore, Md.
    100%
    2d
    55 late
  6. Shanghai > Jacksonville, Fla.
    100%
    1d
    44 late
  7. Pusan > Savannah, Ga.
    100%
    2d
    44 late
  8. Shanghai > Newark, Nj
    66.7%
    2d
    32 late
  9. Shanghai > Long Beach, Ca
    66.7%
    8d
    32 late
  10. Hai Phong > Long Beach, Ca
    0%
    20 late
  11. Hai Phong > Newark, Nj
    50%
    2d
    21 late
  12. Jawaharlal Nehru > Los Angeles, Ca
    0%
    20 late

By supplier

All 5 suppliers.

% delayed avg days late, when laten = shipments
  1. Topocean Consolidation Service
    88.9%
    2.7d
    6356 late
  2. Topocean Consolidation
    70.6%
    2.4d
    1712 late
  3. Accel Transport And Logistics
    0%
    30 late
  4. Top Logistics Korea Co Ltd
    100%
    1d
    11 late
  5. B Gols Limited
    0%
    10 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.

60%
n=5
2026-07-29
83.3%
n=6
2026-07-30
50%
n=2
2026-07-31
0%
n=1
2026-08-01
100%
n=2
2026-08-02
87.5%
n=8
2026-08-03
87.5%
n=8
2026-08-04
0%
n=1
2026-08-05
50%
n=2
2026-08-06
100%
n=13
2026-08-07
28.6%
n=7
2026-08-08
66.7%
n=3
2026-08-10
100%
n=1
2026-08-11
96.2%
n=26
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. Savannah, Ga.
    97.2%
    2.9d
    3635 late
  2. Los Angeles, Ca
    45.5%
    2d
    115 late
  3. Newark, Nj
    57.1%
    2d
    74 late
  4. Baltimore, Md.
    100%
    2d
    66 late
  5. Norfolk, Va.
    50%
    2.7d
    63 late
  6. Long Beach, Ca
    40%
    8d
    52 late
  7. Charleston, S.C.
    100%
    2.8d
    55 late
  8. Jacksonville, Fla.
    100%
    1d
    44 late
  9. Oakland, Ca
    100%
    1d
    22 late
  10. Houston, Texas
    100%
    1.5d
    22 late
  11. Tacoma, Wa
    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. Saint Helena
    89.8%
    2.6d
    4944 late
  2. China
    81%
    3.2d
    2117 late
  3. Vietnam
    40%
    2d
    52 late
  4. United States of America
    75%
    1.7d
    43 late
  5. India
    0%
    30 late
  6. Sudan
    100%
    1d
    22 late
  7. South Korea
    100%
    1d
    11 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 →