Transit times / Kapex Sfo

Kapex Sfo

55 ocean import shipments. Delayed 20.2 points less often than the dataset average of 43.8%.

55
Shipments
23.6%
Arrived late
13 shipments
1.8 days
Average delay, when late
median 2 days
2 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
42
76.4%
On time
13
23.6%
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
    23.6%
    1.8d
    5513 late

By route

All 10 lanes.

% delayed avg days late, when laten = shipments
  1. Pusan > Houston, Texas
    0%
    130 late
  2. Cartagena > New Orleans, La.
    100%
    2d
    1010 late
  3. Pusan > Tacoma, Wa
    0%
    80 late
  4. Cartagena > Miami, Florida
    0%
    80 late
  5. Yantian > Houston, Texas
    0%
    70 late
  6. Yangshan > Houston, Texas
    0%
    40 late
  7. Vung Tau > Savannah, Ga.
    100%
    1d
    22 late
  8. Ning Bo > Tacoma, Wa
    0%
    10 late
  9. Lazaro Cardenas > Houston, Texas
    0%
    10 late
  10. Tanjung Pelepas > Savannah, Ga.
    100%
    1d
    11 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 Thailand Co Ltd
    55.6%
    1.6d
    95 late
  2. Kln Freight Vietnam Co Ltd
    42.9%
    2d
    73 late
  3. Kln Freight Usa Inc
    33.3%
    2d
    62 late
  4. Kapex Logistics Qingdao Co Ltd
    0%
    60 late
  5. Kapex Logistics Yantai Co Ltd
    0%
    40 late
  6. Kapex Logistics Shanghai Company
    0%
    40 late
  7. Kln Freight M Limited
    0%
    30 late
  8. Pt Kapex Freight Indonesia
    0%
    30 late
  9. Kapex Logistics Shenzhen Co Ltd
    0%
    30 late
  10. Kerry Freight International Company
    0%
    30 late
  11. K Apex Logistics M Sdn Bhd
    33.3%
    1d
    31 late
  12. Kapex Logistics Xiamen Company Li
    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.

100%
n=3
2026-08-04
19.2%
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%
    250 late
  2. New Orleans, La.
    100%
    2d
    1010 late
  3. Tacoma, Wa
    0%
    90 late
  4. Miami, Florida
    0%
    80 late
  5. Savannah, Ga.
    100%
    1d
    33 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
    12%
    2d
    253 late
  2. Thailand
    55.6%
    1.6d
    95 late
  3. Vietnam
    42.9%
    2d
    73 late
  4. Norway
    0%
    30 late
  5. Indonesia
    0%
    30 late
  6. Taiwan
    0%
    30 late
  7. Malaysia
    33.3%
    1d
    31 late
  8. France
    0%
    10 late
  9. Colombia
    100%
    2d
    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 →