Transit times / Dole Packaged Foods Llc

Dole Packaged Foods Llc

236 ocean import shipments. Delayed 27.8 points more often than the dataset average of 43.8%.

236
Shipments
71.6%
Arrived late
169 shipments
4.6 days
Average delay, when late
median 3 days
15 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.

19
8.1%
Early
48
20.3%
On time
90
38.1%
1–3 days
35
14.8%
4–7 days
43
18.2%
8–14 days
1
0.4%
15+ days

By carrier

All 6 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    76.9%
    4.4d
    12193 late
  2. ONE
    48.9%
    1.4d
    4723 late
  3. CMA CGM
    100%
    7d
    4444 late
  4. Evergreen
    36.4%
    1d
    228 late
  5. Yang Ming
    0%
    10 late
  6. Kuehne + Nagel
    100%
    15d
    11 late

By route

Top 12 of 58 lanes; 100 shipments across the remaining 46 not shown.

% delayed avg days late, when laten = shipments
  1. Singapore > Newark, Nj
    100%
    1.8d
    2323 late
  2. Panama Canal > Newark, Nj
    100%
    6.8d
    2020 late
  3. Sines > Newark, Nj
    64.3%
    2.2d
    149 late
  4. Yantian > Newark, Nj
    100%
    5.1d
    1212 late
  5. Ning Bo > Newark, Nj
    70%
    8.7d
    107 late
  6. Kaohsiung > Newark, Nj
    70%
    1d
    107 late
  7. Singapore > Savannah, Ga.
    88.9%
    6.4d
    98 late
  8. Mundra > New York, N.Y.
    100%
    7d
    88 late
  9. Pusan > Newark, Nj
    0%
    80 late
  10. Laem Chabang > Newark, Nj
    100%
    4.5d
    88 late
  11. All Other Panama West Coast Region Ports > Long Beach, Ca
    0%
    70 late
  12. Laem Chabang > Long Beach, Ca
    28.6%
    3d
    72 late

By supplier

Top 12 of 22 suppliers; 15 shipments across the remaining 10 not shown.

% delayed avg days late, when laten = shipments
  1. Dole Philippines Inc
    55.4%
    2.8d
    5631 late
  2. Procesadora Laran Sac
    75.7%
    5.4d
    3728 late
  3. Pt Great Giant Pineapple
    100%
    3.5d
    2727 late
  4. Dole Thailand Limited
    43.5%
    2.4d
    2310 late
  5. Agrophoenix S A
    75%
    1.8d
    1612 late
  6. Ningbo Hd Foods Co Ltd
    78.6%
    7.9d
    1411 late
  7. Dole Thailand Ltd
    100%
    4.9d
    1414 late
  8. Xuzhou Dafeng Foodstuff Co Ltd
    72.7%
    8d
    118 late
  9. Rfg Foods Pty Ltd
    100%
    6.8d
    1010 late
  10. Kronos S A
    42.9%
    3d
    73 late
  11. Xuzhou Ningxing Food Co Ltd
    100%
    11.3d
    33 late
  12. An Giang Fruit Vegetables
    0%
    30 late

By vessel

Vessel names are in the most recent data only — 236 of 236 shipments (100%) name one, across 55 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc Chiara X
    100%
    3d
    1818 late
  2. One Wren
    100%
    1d
    1414 late
  3. Etoile
    100%
    8d
    1414 late
  4. Msc Mumbai Viii
    0%
    110 late
  5. Cosco Shipping Orchid
    100%
    7.8d
    1111 late
  6. Cma Cgm Bianca
    100%
    6.8d
    1010 late
  7. Msc Athos
    0%
    90 late
  8. One Manchester
    100%
    2d
    88 late
  9. Msc Jamboree Ix
    100%
    8d
    88 late
  10. Msc Jeongmin
    100%
    2d
    77 late
  11. Ever Muse
    57.1%
    1d
    74 late
  12. Msc Hortense
    50%
    3.7d
    63 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.

63.2%
n=19
2026-07-27
33.3%
n=9
2026-07-28
100%
n=22
2026-07-29
93.3%
n=15
2026-07-30
60%
n=5
2026-07-31
86.7%
n=15
2026-08-01
57.1%
n=7
2026-08-02
0%
n=3
2026-08-03
6.7%
n=15
2026-08-04
56%
n=25
2026-08-05
100%
n=22
2026-08-06
0%
n=5
2026-08-07
57.1%
n=7
2026-08-08
56.3%
n=16
2026-08-09
91.4%
n=35
2026-08-10
100%
n=16
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. Newark, Nj
    83.3%
    4.3d
    11495 late
  2. Savannah, Ga.
    85.4%
    4.5d
    4841 late
  3. Long Beach, Ca
    32%
    3d
    258 late
  4. Los Angeles, Ca
    25%
    11d
    164 late
  5. Seattle, Wa
    100%
    5.2d
    1212 late
  6. Tacoma, Wa
    0%
    90 late
  7. New York, N.Y.
    100%
    7d
    88 late
  8. Oakland, Ca
    25%
    1d
    41 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. Philippines
    55.4%
    2.8d
    5631 late
  2. Peru
    76.9%
    5.1d
    3930 late
  3. Thailand
    61.5%
    3.9d
    3924 late
  4. China
    78.8%
    8.3d
    3326 late
  5. Greece
    68%
    2.1d
    2517 late
  6. Indonesia
    100%
    3.4d
    1818 late
  7. South Africa
    100%
    6.8d
    1010 late
  8. Singapore
    100%
    3.8d
    88 late
  9. Vietnam
    25%
    5d
    41 late
  10. Morocco
    100%
    3.5d
    22 late
  11. Croatia
    100%
    15d
    11 late
  12. South Korea
    100%
    4d
    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 →