Transit times / Greenham Usa Inc

Greenham Usa Inc

183 ocean import shipments. Delayed 41.1 points less often than the dataset average of 43.8%.

183
Shipments
2.7%
Arrived late
5 shipments
1.8 days
Average delay, when late
median 1 days
5 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
178
97.3%
On time
4
2.2%
1–3 days
1
0.5%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    0.9%
    5d
    1171 late
  2. CMA CGM
    0%
    610 late
  3. ANLC
    80%
    1d
    54 late

By route

All 5 lanes.

% delayed avg days late, when laten = shipments
  1. Yarraville > Philadelphia, Pa.
    0%
    1710 late
  2. Yarraville > Oakland, Ca
    20%
    1d
    51 late
  3. Yarraville > Los Angeles, Ca
    75%
    1d
    43 late
  4. Yarraville > Seattle, Wa
    0%
    20 late
  5. All Other Panama West Coast Region Ports > Seattle, Wa
    100%
    5d
    11 late

By supplier

All 1 suppliers.

% delayed avg days late, when laten = shipments
  1. Greenham Australia Pty Ltd
    2.7%
    1.8d
    1835 late

By vessel

Vessel names are in the most recent data only — 183 of 183 shipments (100%) name one, across 8 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc Sheffield Iii
    0%
    600 late
  2. Msc Montserrat Iii
    0%
    500 late
  3. Oluf Maersk
    0%
    230 late
  4. Maersk Bratan
    0%
    210 late
  5. Maersk Buton
    0%
    170 late
  6. Long Beach Express
    42.9%
    1d
    73 late
  7. Anl Warrnambool
    25%
    1d
    41 late
  8. Msc Hortense
    100%
    5d
    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.

0%
n=17
2026-07-28
0%
n=60
2026-08-01
0%
n=26
2026-08-04
0%
n=2
2026-08-06
75%
n=4
2026-08-08
0%
n=50
2026-08-09
8.3%
n=24
2026-08-11

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. Philadelphia, Pa.
    0%
    1710 late
  2. Oakland, Ca
    20%
    1d
    51 late
  3. Los Angeles, Ca
    75%
    1d
    43 late
  4. Seattle, Wa
    33.3%
    5d
    31 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. Australia
    2.7%
    1.8d
    1835 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 →