Transit times / Mouton Distribution
Mouton Distribution
94 ocean import shipments. Delayed 13.6 points more often than the dataset average of 43.8%.
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.
By carrier
All 1 carriers used.
- MSC9454 late
By route
All 2 lanes.
- Cape Town > Philadelphia, Pa.8040 late
- Cape Town > Savannah, Ga.1414 late
By supplier
All 3 suppliers.
- Mouton Citrus Pty Ltd8547 late
- Freshness First Pty Ltd66 late
- Everseason Pty Ltd31 late
By vessel
Vessel names are in the most recent data only — 94 of 94 shipments (100%) name one, across 3 ships. This chart covers that subset, not the whole.
- Msc Carmen455 late
- Msc Anisha R.4343 late
- Msc Guernsey V66 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.
By destination port
Where the delay actually lands — a congested discharge port shows up here rather than under the carrier.
- Philadelphia, Pa.8040 late
- Savannah, Ga.1414 late
By supplier country
Origin-side effects: a country whose shipments are consistently late points at booking or documentation, not at the ocean leg.
- South Africa9454 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.