Transit times / Barklays Logistics Inc

Barklays Logistics Inc

73 ocean import shipments. Delayed 2.7 points less often than the dataset average of 43.8%.

73
Shipments
41.1%
Arrived late
30 shipments
2 days
Average delay, when late
median 1 days
9 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.

28
38.4%
Early
15
20.5%
On time
27
37%
1–3 days
1
1.4%
4–7 days
2
2.7%
8–14 days
0
0%
15+ days

By carrier

All 7 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    0%
    280 late
  2. Zim
    91.7%
    1.1d
    2422 late
  3. Evergreen
    8.3%
    1d
    121 late
  4. HMM
    100%
    6.7d
    33 late
  5. Wan Hai Lines
    100%
    2d
    33 late
  6. COSCO
    0%
    20 late
  7. Hapag Lloyd
    100%
    7d
    11 late

By route

All 12 lanes.

% delayed avg days late, when laten = shipments
  1. Ning Bo > Newark, Nj
    37.8%
    1d
    4517 late
  2. Yantian > Los Angeles, Ca
    0%
    100 late
  3. Shekou > Los Angeles, Ca
    100%
    2d
    44 late
  4. Ning Bo > Los Angeles, Ca
    66.7%
    9d
    32 late
  5. Shanghai > Newark, Nj
    100%
    2d
    33 late
  6. Yantian > Boston, Mass.
    100%
    1d
    22 late
  7. Hong Kong > Long Beach, Ca
    0%
    10 late
  8. Shekou > Miami, Florida
    100%
    1d
    11 late
  9. Port Klang > Savannah, Ga.
    0%
    10 late
  10. Ning Bo > Charleston, S.C.
    100%
    7d
    11 late
  11. Yantian > Long Beach, Ca
    0%
    10 late
  12. Shanghai > Los Angeles, Ca
    0%
    10 late

By supplier

All 7 suppliers.

% delayed avg days late, when laten = shipments
  1. Barklays Logistics Co Ltd
    38.8%
    1.5d
    6726 late
  2. T H I Logistics Co Ltd
    0%
    10 late
  3. Cl Consolidators Services Ltd
    100%
    1d
    11 late
  4. Toplink Logistics Inc
    0%
    10 late
  5. Fourever International Limited
    100%
    2d
    11 late
  6. Ningbo Kingdom International Logis
    100%
    9d
    11 late
  7. U S United Logistics Ningbo Inc
    100%
    9d
    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.

40.9%
n=22
2026-08-04
41.2%
n=51
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. Newark, Nj
    41.7%
    1.2d
    4820 late
  2. Los Angeles, Ca
    33.3%
    4.3d
    186 late
  3. Long Beach, Ca
    0%
    20 late
  4. Boston, Mass.
    100%
    1d
    22 late
  5. Miami, Florida
    100%
    1d
    11 late
  6. Savannah, Ga.
    0%
    10 late
  7. Charleston, S.C.
    100%
    7d
    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. China
    41.7%
    2d
    7230 late
  2. Taiwan
    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 →