Transit times / Great Worldwide Logistics Co Ltd

Great Worldwide Logistics Co Ltd

65 ocean import shipments. Delayed 36.2 points more often than the dataset average of 43.8%.

65
Shipments
80%
Arrived late
52 shipments
10.5 days
Average delay, when late
median 1 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.

0
0%
Early
13
20%
On time
35
53.8%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
17
26.2%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. Hapag Lloyd
    100%
    1d
    3535 late
  2. Zim
    100%
    30d
    1717 late
  3. Maersk
    0%
    130 late

By route

All 5 lanes.

% delayed avg days late, when laten = shipments
  1. Pusan > Tacoma, Wa
    72.3%
    1d
    4734 late
  2. Qingdao > Seattle, Wa
    100%
    30d
    1212 late
  3. Pusan > Seattle, Wa
    100%
    30d
    33 late
  4. Ning Bo > Seattle, Wa
    100%
    30d
    22 late
  5. Ning Bo > Tacoma, Wa
    100%
    1d
    11 late

By supplier

All 11 suppliers.

% delayed avg days late, when laten = shipments
  1. Pudong Prime Intl
    100%
    1d
    3232 late
  2. Cml Grandcorp Logistics Co Ltd
    100%
    30d
    1212 late
  3. Topocean Consolidation Tianjin
    0%
    50 late
  4. Pudong Prime Int L Logistics Inc
    100%
    30d
    33 late
  5. Topocean Consolidation Service
    0%
    30 late
  6. Topocean Consolidation Service Ltd
    0%
    30 late
  7. Ningbo Whol Tac Supply Chain Co Ltd
    100%
    30d
    22 late
  8. Pudong Prime Intl Logistics Inc
    0%
    20 late
  9. Shanghai Pu Yang International
    100%
    1d
    11 late
  10. Pudong Prime Intl Logistics
    100%
    1d
    11 late
  11. Topocean Consolidation
    100%
    1d
    11 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.

100%
n=17
2026-08-04
72.9%
n=48
2026-08-05

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. Tacoma, Wa
    72.9%
    1d
    4835 late
  2. Seattle, Wa
    100%
    30d
    1717 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
    81.3%
    10.5d
    6452 late
  2. Colombia
    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 →