Transit times / Booking Union Logistics Inc

Booking Union Logistics Inc

72 ocean import shipments. Delayed 23 points less often than the dataset average of 43.8%.

72
Shipments
20.8%
Arrived late
15 shipments
2.9 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.

0
0%
Early
57
79.2%
On time
13
18.1%
1–3 days
0
0%
4–7 days
2
2.8%
8–14 days
0
0%
15+ days

By carrier

All 8 carriers used.

% delayed avg days late, when laten = shipments
  1. HEDE Shipping
    0%
    270 late
  2. Zim
    0%
    130 late
  3. Wan Hai Lines
    100%
    2d
    1212 late
  4. Evergreen
    0%
    70 late
  5. Maersk
    0%
    70 late
  6. HMM
    100%
    6.7d
    33 late
  7. Hapag Lloyd
    0%
    20 late
  8. COSCO
    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. Nansha > Los Angeles, Ca
    0%
    260 late
  2. Yantian > Long Beach, Ca
    0%
    120 late
  3. Shekou > Los Angeles, Ca
    100%
    2d
    77 late
  4. Xiamen > Los Angeles, Ca
    100%
    2d
    66 late
  5. Yantian > Savannah, Ga.
    0%
    40 late
  6. Shanghai > Los Angeles, Ca
    66.7%
    9d
    32 late
  7. Yantian > Los Angeles, Ca
    0%
    30 late
  8. Pusan > Houston, Texas
    0%
    30 late
  9. Yangshan > Houston, Texas
    0%
    30 late
  10. Yantian > Houston, Texas
    0%
    20 late
  11. Xiamen > Long Beach, Ca
    0%
    10 late
  12. Ning Bo > Los Angeles, Ca
    0%
    10 late

By supplier

Top 12 of 24 suppliers; 13 shipments across the remaining 12 not shown.

% delayed avg days late, when laten = shipments
  1. Dlx International Logistics Co Lt
    0%
    260 late
  2. Shenzhen Power World Link
    0%
    70 late
  3. Barklays Logistics Co Ltd
    25%
    2d
    41 late
  4. Patson Logistics Limited
    0%
    30 late
  5. Wecargo China International Limited
    0%
    30 late
  6. Ningbo Bewin International Logistic
    0%
    30 late
  7. Suzhou Yun Logistics Technology Co
    0%
    30 late
  8. Chinatrans International Limited
    50%
    2d
    21 late
  9. Linson Tai International Co Ltd
    0%
    20 late
  10. Kwise Logistics Shandong Co Ltd
    100%
    2d
    22 late
  11. T H I Group Shanghai Ltd Xiamen Br
    100%
    2d
    22 late
  12. Ningbo X H Supply Chain Management
    100%
    2d
    22 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.

9.1%
n=22
2026-08-04
26%
n=50
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
    32.6%
    2.9d
    4615 late
  2. Long Beach, Ca
    0%
    130 late
  3. Houston, Texas
    0%
    80 late
  4. Savannah, Ga.
    0%
    40 late
  5. 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
    24.2%
    2.9d
    6215 late
  2. Grenada
    0%
    100 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 →