Transit times / Kapex Lax

Kapex Lax

54 ocean import shipments. Delayed 40.1 points less often than the dataset average of 43.8%.

54
Shipments
3.7%
Arrived late
2 shipments
1 days
Average delay, when late
median 1 days
1 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
52
96.3%
On time
2
3.7%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 1 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    3.7%
    1d
    542 late

By route

All 8 lanes.

% delayed avg days late, when laten = shipments
  1. Cartagena > Miami, Florida
    0%
    130 late
  2. Pusan > Houston, Texas
    0%
    90 late
  3. Yantian > Houston, Texas
    0%
    80 late
  4. Lazaro Cardenas > Houston, Texas
    0%
    80 late
  5. Ning Bo > Houston, Texas
    0%
    60 late
  6. Yangshan > Houston, Texas
    0%
    40 late
  7. Pusan > Tacoma, Wa
    0%
    40 late
  8. Tanjung Pelepas > Savannah, Ga.
    100%
    1d
    22 late

By supplier

Top 12 of 14 suppliers; 2 shipments across the remaining 2 not shown.

% delayed avg days late, when laten = shipments
  1. Kapex International Freight
    0%
    80 late
  2. Kapex Thailand Co Ltd
    0%
    80 late
  3. Pt Kapex Freight Indonesia
    14.3%
    1d
    71 late
  4. Kapex International Ningbo Co Lt
    0%
    50 late
  5. Kapex Logistics Shenzhen Co Ltd
    0%
    50 late
  6. Kln Freight Vietnam Co Ltd
    0%
    40 late
  7. Kln Freight Usa Inc
    0%
    40 late
  8. Kapex Logistics Qingdao Co Ltd
    0%
    30 late
  9. Kapex Logistics Dalian Co Limited
    0%
    20 late
  10. Kapex Logistics Xiamen Company Li
    0%
    20 late
  11. Kln Freight Cambodia Co Ltd
    50%
    1d
    21 late
  12. Kapex Logistics Shanghai Company
    0%
    20 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=2
2026-08-04
0%
n=52
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. Houston, Texas
    0%
    350 late
  2. Miami, Florida
    0%
    130 late
  3. Tacoma, Wa
    0%
    40 late
  4. Savannah, Ga.
    100%
    1d
    22 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
    0%
    210 late
  2. France
    0%
    130 late
  3. Thailand
    0%
    80 late
  4. Indonesia
    25%
    1d
    41 late
  5. Vietnam
    0%
    40 late
  6. South Korea
    0%
    20 late
  7. Ghana
    50%
    1d
    21 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 →