Transit times / Monarch Container Line

Monarch Container Line

68 ocean import shipments. Delayed 41.5 points more often than the dataset average of 43.8%.

68
Shipments
85.3%
Arrived late
58 shipments
2 days
Average delay, when late
median 2 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.

1
1.5%
Early
9
13.2%
On time
57
83.8%
1–3 days
0
0%
4–7 days
1
1.5%
8–14 days
0
0%
15+ days

By carrier

All 7 carriers used.

% delayed avg days late, when laten = shipments
  1. Wan Hai Lines
    100%
    2d
    4646 late
  2. Zim
    50%
    1d
    84 late
  3. COSCO
    40%
    1d
    52 late
  4. HMM
    100%
    3.3d
    44 late
  5. ONE
    66.7%
    2d
    32 late
  6. Evergreen
    0%
    10 late
  7. CMA CGM
    0%
    10 late

By route

Top 12 of 13 lanes; 1 shipments across the remaining 1 not shown.

% delayed avg days late, when laten = shipments
  1. Xiamen > Los Angeles, Ca
    100%
    2d
    4545 late
  2. Ning Bo > Newark, Nj
    100%
    1d
    44 late
  3. Ning Bo > Los Angeles, Ca
    0%
    40 late
  4. Xiamen > Long Beach, Ca
    0%
    30 late
  5. Shekou > Los Angeles, Ca
    100%
    2d
    33 late
  6. Vung Tau > Oakland, Ca
    100%
    1d
    22 late
  7. Yangshan > Baltimore, Md.
    100%
    1d
    11 late
  8. Ning Bo > Baltimore, Md.
    100%
    1d
    11 late
  9. Yantian > Savannah, Ga.
    0%
    10 late
  10. Pusan > Miami, Florida
    0%
    10 late
  11. Pusan > Savannah, Ga.
    100%
    3d
    11 late
  12. Vung Tau > Los Angeles, Ca
    0%
    10 late

By supplier

All 11 suppliers.

% delayed avg days late, when laten = shipments
  1. Rs Logistics Limited
    88.4%
    2d
    4338 late
  2. Sinpex Connection Logistics Ltd
    90%
    2d
    109 late
  3. Casia Global Logistics Company
    0%
    30 late
  4. Ningbo Whol Tac Supply Chain Co Ltd
    100%
    1d
    33 late
  5. Shanghai Lead Trans International
    100%
    1d
    22 late
  6. Fox Logistics Service Co Ltd
    100%
    1d
    22 late
  7. Shenzhen Viper Supply Chain Co Ltd
    0%
    10 late
  8. Zhejiang Huayang Leisure Products
    100%
    1d
    11 late
  9. Sinpex Connection Logistics Limited
    100%
    2d
    11 late
  10. Ningbo Whol Tac Supply Chain Co
    100%
    3d
    11 late
  11. Cif Global Korea 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.

25%
n=8
2026-08-04
93.3%
n=60
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. Los Angeles, Ca
    90.7%
    2.1d
    5449 late
  2. Newark, Nj
    100%
    1d
    44 late
  3. Long Beach, Ca
    0%
    30 late
  4. Baltimore, Md.
    100%
    1d
    22 late
  5. Savannah, Ga.
    50%
    3d
    21 late
  6. Oakland, Ca
    100%
    1d
    22 late
  7. Miami, Florida
    0%
    10 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
    87.3%
    1.9d
    6355 late
  2. Vietnam
    66.7%
    1d
    32 late
  3. Taiwan
    0%
    10 late
  4. South Korea
    100%
    9d
    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 →