Transit times / Motherlines Inc

Motherlines Inc

57 ocean import shipments. Delayed 14.1 points more often than the dataset average of 43.8%.

57
Shipments
57.9%
Arrived late
33 shipments
3 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.

2
3.5%
Early
22
38.6%
On time
25
43.9%
1–3 days
7
12.3%
4–7 days
1
1.8%
8–14 days
0
0%
15+ days

By carrier

All 10 carriers used.

% delayed avg days late, when laten = shipments
  1. Wan Hai Lines
    100%
    2d
    1717 late
  2. Maersk
    27.3%
    1d
    113 late
  3. CMA CGM
    100%
    7d
    77 late
  4. Evergreen
    0%
    70 late
  5. Zim
    20%
    1d
    51 late
  6. Hapag Lloyd
    100%
    1d
    33 late
  7. MSC
    33.3%
    1d
    31 late
  8. Yang Ming
    0%
    20 late
  9. COSCO
    100%
    8d
    11 late
  10. ONE
    0%
    10 late

By route

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

% delayed avg days late, when laten = shipments
  1. Xiamen > Los Angeles, Ca
    100%
    2d
    1616 late
  2. Yantian > Los Angeles, Ca
    0%
    70 late
  3. Jawaharlal Nehru > Newark, Nj
    50%
    1d
    63 late
  4. Colombo Harbor > New York, N.Y.
    100%
    7d
    55 late
  5. Shanghai > Los Angeles, Ca
    0%
    40 late
  6. Lazaro Cardenas > Houston, Texas
    0%
    40 late
  7. Puerto Libertador > Los Angeles, Ca
    100%
    1d
    33 late
  8. Ning Bo > Newark, Nj
    33.3%
    1d
    31 late
  9. Mundra > New York, N.Y.
    100%
    7d
    22 late
  10. Singapore > Los Angeles, Ca
    0%
    20 late
  11. Jawaharlal Nehru > New York, N.Y.
    100%
    8d
    11 late
  12. Pusan > Jacksonville, Fla.
    100%
    1d
    11 late

By supplier

Top 12 of 17 suppliers; 5 shipments across the remaining 5 not shown.

% delayed avg days late, when laten = shipments
  1. Orient Star Transport Int L Ltd
    57.9%
    2d
    1911 late
  2. Mprs Shipping And Logistics Pvt Ltd
    50%
    1d
    63 late
  3. Cargomar Pvt Ltd
    100%
    7d
    55 late
  4. Win Art Logistics Co Ltd
    20%
    2d
    51 late
  5. Ningbo Henton Supply Chain
    0%
    40 late
  6. T H I Group Shanghai Ltd Xiamen Br
    100%
    2d
    44 late
  7. Globicon Logistics Private Limited
    100%
    7d
    22 late
  8. Sinpex Connection Logistics
    0%
    20 late
  9. Orient Star Transport China Ltd Xi
    100%
    1d
    22 late
  10. Mprs Shipping & Logistics Pvt Ltd
    100%
    8d
    11 late
  11. Orient Star Transport China Ltd X
    100%
    1d
    11 late
  12. Orient Star Transport International
    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.

6.7%
n=15
2026-08-04
76.2%
n=42
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
    60.6%
    1.9d
    3320 late
  2. Newark, Nj
    40%
    1d
    104 late
  3. New York, N.Y.
    100%
    7.1d
    88 late
  4. Houston, Texas
    0%
    40 late
  5. Jacksonville, Fla.
    100%
    1d
    11 late
  6. Oakland, Ca
    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
    41.7%
    1.5d
    2410 late
  2. India
    73.3%
    5.5d
    1511 late
  3. Taiwan
    100%
    2d
    1111 late
  4. Vietnam
    20%
    2d
    51 late
  5. Singapore
    0%
    20 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 →