Transit times / Cil Freight Inc

Cil Freight Inc

53 ocean import shipments. Delayed 22.2 points more often than the dataset average of 43.8%.

53
Shipments
66%
Arrived late
35 shipments
1.9 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
18
34%
On time
35
66%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. Wan Hai Lines
    100%
    2d
    3131 late
  2. COSCO
    0%
    130 late
  3. ONE
    75%
    1d
    43 late
  4. Zim
    33.3%
    2d
    31 late
  5. Maersk
    0%
    10 late
  6. Yang Ming
    0%
    10 late

By route

All 7 lanes.

% delayed avg days late, when laten = shipments
  1. Xiamen > Los Angeles, Ca
    96.2%
    1.9d
    2625 late
  2. Yantian > Long Beach, Ca
    0%
    140 late
  3. Shekou > Los Angeles, Ca
    100%
    1.9d
    99 late
  4. Hong Kong > Long Beach, Ca
    0%
    10 late
  5. Shanghai > Newark, Nj
    100%
    2d
    11 late
  6. Pusan > Houston, Texas
    0%
    10 late
  7. Pusan > Los Angeles, Ca
    0%
    10 late

By supplier

All 6 suppliers.

% delayed avg days late, when laten = shipments
  1. Chinatrans International Limited
    71.7%
    1.9d
    4633 late
  2. X Jetty Co Ltd
    0%
    30 late
  3. Fba Hope E Commerce Logistics Co
    100%
    2d
    11 late
  4. Ocean Bridges Logistics Co Limite
    100%
    2d
    11 late
  5. Sinpex Connection Logistics Ltd
    0%
    10 late
  6. Topasia International Logistics
    0%
    10 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.

5.9%
n=17
2026-08-04
94.4%
n=36
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
    94.4%
    1.9d
    3634 late
  2. Long Beach, Ca
    0%
    150 late
  3. Newark, Nj
    100%
    2d
    11 late
  4. Houston, Texas
    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
    67.3%
    1.9d
    5235 late
  2. Hong Kong S.A.R.
    0%
    10 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 →