Transit times / William H Kopke Jr Inc

William H Kopke Jr Inc

206 ocean import shipments. Delayed 21 points less often than the dataset average of 43.8%.

206
Shipments
22.8%
Arrived late
47 shipments
2.5 days
Average delay, when late
median 2 days
30 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.

10
4.9%
Early
149
72.3%
On time
46
22.3%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
1
0.5%
15+ days

By carrier

All 9 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    25.5%
    2.4d
    9825 late
  2. Maersk
    7.3%
    2d
    554 late
  3. ONE
    44.4%
    1d
    188 late
  4. SM Line
    0%
    160 late
  5. CMA CGM
    57.1%
    1d
    74 late
  6. COSCO
    60%
    1d
    53 late
  7. Hapag Lloyd
    0%
    40 late
  8. Zim
    100%
    1.5d
    22 late
  9. SYZS
    100%
    30d
    11 late

By route

Top 12 of 15 lanes; 6 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. Cape Town > Philadelphia, Pa.
    51.4%
    4.4d
    3719 late
  2. Puerto Manzanillo > Philadelphia, Pa.
    0%
    330 late
  3. Cristobal > Philadelphia, Pa.
    0%
    300 late
  4. Panama Canal > Philadelphia, Pa.
    25.9%
    1d
    277 late
  5. Las Salinas > Philadelphia, Pa.
    100%
    1d
    1515 late
  6. San Antonio > Philadelphia, Pa.
    0%
    150 late
  7. Salvador > Philadelphia, Pa.
    15.4%
    2d
    132 late
  8. Montevideo > Philadelphia, Pa.
    0%
    90 late
  9. Callao > Chester, Pa.
    0%
    80 late
  10. Paita > Chester, Pa.
    0%
    60 late
  11. Buenos Aires > Philadelphia, Pa.
    50%
    2d
    42 late
  12. All Other Panama West Coast Region Ports > Long Beach, Ca
    0%
    30 late

By supplier

Top 12 of 34 suppliers; 60 shipments across the remaining 22 not shown.

% delayed avg days late, when laten = shipments
  1. Wp Fresh Distributors Pty Ltd
    51.4%
    4.4d
    3719 late
  2. Agricola Alci Spa
    0%
    250 late
  3. Exportadora Rio Blanco Spa
    33.3%
    1d
    155 late
  4. Safresco Peru S A
    16.7%
    1.5d
    122 late
  5. Ficotrel Sas
    50%
    1d
    105 late
  6. Frutera San Fernando Sa
    0%
    100 late
  7. Soc Agricola Y Comercial Limitada
    0%
    70 late
  8. Urudor Sa Por Comitente
    0%
    70 late
  9. Exportadora Baika S A
    0%
    60 late
  10. Frutera San Fernando S A
    0%
    60 late
  11. Patagonian Fruits Sa
    0%
    60 late
  12. Arbolar S A
    40%
    1d
    52 late

By vessel

Vessel names are in the most recent data only — 206 of 206 shipments (100%) name one, across 22 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc Montserrat Iii
    0%
    300 late
  2. Maersk Freeport
    0%
    220 late
  3. Msc Sheffield Iii
    0%
    200 late
  4. Msc Carmen
    0%
    180 late
  5. Msc Anisha R.
    100%
    3d
    1818 late
  6. Matthew Schulte
    100%
    1d
    1515 late
  7. Cma Cgm Beira
    0%
    150 late
  8. Polar Costa Rica
    0%
    130 late
  9. Polar Mexico
    0%
    90 late
  10. Seaboard Valor
    0%
    80 late
  11. Seaboard Verde
    0%
    80 late
  12. Msc Bremen
    100%
    1d
    77 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=13
2026-07-27
14.3%
n=7
2026-07-28
54.5%
n=33
2026-07-29
100%
n=1
2026-07-31
16.7%
n=24
2026-08-01
0%
n=8
2026-08-02
0%
n=9
2026-08-03
0%
n=23
2026-08-04
100%
n=7
2026-08-05
40.5%
n=37
2026-08-06
100%
n=1
2026-08-08
0%
n=38
2026-08-09
0%
n=4
2026-08-10
0%
n=1
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.
    25.4%
    2.5d
    18547 late
  2. Chester, Pa.
    0%
    160 late
  3. Long Beach, Ca
    0%
    30 late
  4. Los Angeles, Ca
    0%
    20 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. Chile
    8.9%
    1d
    1019 late
  2. South Africa
    51.4%
    4.4d
    3719 late
  3. Uruguay
    17.9%
    1d
    285 late
  4. Argentina
    58.8%
    1.4d
    1710 late
  5. Peru
    16.7%
    1.5d
    122 late
  6. Mexico
    0%
    60 late
  7. Panama
    40%
    1d
    52 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 →