Transit times / Vlm Foods Usa Ltd

Vlm Foods Usa Ltd

253 ocean import shipments. Delayed 1.3 points more often than the dataset average of 43.8%.

253
Shipments
45.1%
Arrived late
114 shipments
5 days
Average delay, when late
median 4 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.

24
9.5%
Early
115
45.5%
On time
52
20.6%
1–3 days
37
14.6%
4–7 days
22
8.7%
8–14 days
3
1.2%
15+ days

By carrier

All 11 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    1.1%
    1d
    901 late
  2. MSC
    86.4%
    3.8d
    8876 late
  3. SM Line
    9.5%
    1d
    212 late
  4. CMA CGM
    94.7%
    6.3d
    1918 late
  5. Hapag Lloyd
    5.9%
    1d
    171 late
  6. Orient Express Container
    80%
    10.8d
    108 late
  7. UHLL
    100%
    6d
    22 late
  8. TXSL
    100%
    6d
    22 late
  9. ITGB
    100%
    15d
    22 late
  10. SAAC
    100%
    10d
    11 late
  11. SYLC
    100%
    15d
    11 late

By route

Top 12 of 60 lanes; 115 shipments across the remaining 48 not shown.

% delayed avg days late, when laten = shipments
  1. Puerto Manzanillo > Philadelphia, Pa.
    0%
    270 late
  2. Antwerp > Norfolk, Va.
    13.3%
    6d
    152 late
  3. Puerto Manzanillo > New York, N.Y.
    0%
    120 late
  4. Antwerp > Newark, Nj
    54.5%
    5d
    116 late
  5. Rotterdam > Newark, Nj
    0%
    110 late
  6. Gioia Tauro > Newark, Nj
    100%
    3d
    1111 late
  7. Tangier > Norfolk, Va.
    0%
    90 late
  8. Panama Canal > Newark, Nj
    100%
    7.1d
    99 late
  9. Antwerp > Houston, Texas
    44.4%
    1d
    94 late
  10. Sines > Newark, Nj
    100%
    2d
    88 late
  11. Antwerp > Savannah, Ga.
    37.5%
    9d
    83 late
  12. Sines > Seattle, Wa
    100%
    4.8d
    88 late

By supplier

Top 12 of 45 suppliers; 61 shipments across the remaining 33 not shown.

% delayed avg days late, when laten = shipments
  1. Provefrut Sa
    0%
    410 late
  2. Dujardin Foods Nv
    38.5%
    4.8d
    3915 late
  3. Ardo Foods Nv
    47.1%
    4.1d
    178 late
  4. International For Agriculture Produ
    86.7%
    3.2d
    1513 late
  5. Gaomi Ruifeng Foods Co Ltd
    78.6%
    8.9d
    1411 late
  6. Valle Frio Spa
    14.3%
    1d
    142 late
  7. Agristo Nv
    23.1%
    8d
    133 late
  8. Dujardin Foods N V
    81.8%
    7.4d
    119 late
  9. Intl Co For Agriculture Development
    0%
    80 late
  10. Provefrut S A
    71.4%
    2.2d
    75 late
  11. Masfrost Sp Z O O
    100%
    2d
    77 late
  12. Vegetigi
    83.3%
    6.2d
    65 late

By vessel

Vessel names are in the most recent data only — 253 of 253 shipments (100%) name one, across 69 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Polar Costa Rica
    0%
    140 late
  2. Msc Candice
    100%
    3d
    1212 late
  3. Al Safat
    0%
    110 late
  4. Polar Mexico
    0%
    100 late
  5. Seaboard Viking
    0%
    100 late
  6. Msc Jeongmin
    100%
    2d
    88 late
  7. Polar Brasil
    0%
    80 late
  8. Maersk Gateshead
    0%
    80 late
  9. Msc Bremen
    100%
    1.9d
    77 late
  10. Msc Vandya
    100%
    6.1d
    77 late
  11. Etoile
    100%
    8d
    77 late
  12. Msc Nitya B
    100%
    5d
    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.

22.2%
n=18
2026-07-27
88.2%
n=34
2026-07-28
33.3%
n=3
2026-07-29
41.2%
n=17
2026-07-30
50%
n=8
2026-07-31
11.1%
n=9
2026-08-01
17.6%
n=17
2026-08-02
35.3%
n=17
2026-08-03
54.5%
n=11
2026-08-04
51.9%
n=27
2026-08-05
82.4%
n=17
2026-08-06
11.1%
n=36
2026-08-07
100%
n=1
2026-08-08
25%
n=12
2026-08-09
58.3%
n=24
2026-08-10
100%
n=2
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
    62.5%
    4.8d
    7245 late
  2. Philadelphia, Pa.
    30.8%
    3.2d
    3912 late
  3. Norfolk, Va.
    16.1%
    7.2d
    315 late
  4. Savannah, Ga.
    42.9%
    9d
    219 late
  5. Houston, Texas
    60%
    1.8d
    2012 late
  6. Seattle, Wa
    100%
    5.9d
    1414 late
  7. New York, N.Y.
    0%
    120 late
  8. Los Angeles, Ca
    40%
    11.3d
    104 late
  9. Miami, Florida
    60%
    4.2d
    106 late
  10. Long Beach, Ca
    0%
    90 late
  11. Chester, Pa.
    0%
    70 late
  12. Pt. Everglades, Florida
    83.3%
    5.8d
    65 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. Belgium
    49.3%
    5.5d
    7336 late
  2. Mexico
    0%
    310 late
  3. Ecuador
    39.3%
    5d
    2811 late
  4. China
    76.5%
    8.6d
    1713 late
  5. Chile
    11.8%
    1d
    172 late
  6. Egypt
    50%
    3d
    147 late
  7. Netherlands
    7.7%
    6d
    131 late
  8. Italy
    100%
    3d
    1212 late
  9. Vietnam
    88.9%
    7.8d
    98 late
  10. Poland
    100%
    1.8d
    99 late
  11. Morocco
    0%
    90 late
  12. Peru
    42.9%
    6.7d
    73 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 →