Transit times / Jbs Usa

Jbs Usa

200 ocean import shipments. Delayed 36.3 points less often than the dataset average of 43.8%.

200
Shipments
7.5%
Arrived late
15 shipments
2 days
Average delay, when late
median 2 days
2 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.

1
0.5%
Early
184
92%
On time
15
7.5%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 1 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    7.5%
    2d
    20015 late

By route

Top 12 of 17 lanes; 6 shipments across the remaining 5 not shown.

% delayed avg days late, when laten = shipments
  1. Yarraville > Philadelphia, Pa.
    0%
    940 late
  2. Salvador > Jacksonville, Fla.
    30%
    2d
    206 late
  3. Cartagena > Los Angeles, Ca
    0%
    170 late
  4. Sao Paulo > Philadelphia, Pa.
    35.3%
    2d
    176 late
  5. Sydney > Philadelphia, Pa.
    0%
    140 late
  6. Salvador > Philadelphia, Pa.
    7.1%
    2d
    141 late
  7. Salvador > Houston, Texas
    0%
    60 late
  8. Sao Paulo > Jacksonville, Fla.
    0%
    30 late
  9. Montevideo > Philadelphia, Pa.
    0%
    30 late
  10. Barao De Teffe > Houston, Texas
    0%
    20 late
  11. Port Chalmers > Philadelphia, Pa.
    0%
    20 late
  12. Cartagena > Houston, Texas
    50%
    2d
    21 late

By supplier

All 12 suppliers.

% delayed avg days late, when laten = shipments
  1. Jbs Australia Pty Ltd
    0.9%
    2d
    1081 late
  2. Jbs Sa
    16.9%
    2d
    6511 late
  3. Arre Beef Sa
    20%
    2d
    51 late
  4. Jbs S A
    25%
    2d
    41 late
  5. Jbs Sa 6
    0%
    40 late
  6. Hewitt Foods Pty Ltd
    0%
    30 late
  7. Jbs Sa 7
    33.3%
    2d
    31 late
  8. Compania Bernal Sa
    0%
    20 late
  9. Anzco Foods Ltd
    0%
    20 late
  10. Sirsil S A
    0%
    20 late
  11. Sociedad Anonima Carnes Pampeanas S
    0%
    10 late
  12. Frigorifico Las Moras Chiadel Sa
    0%
    10 late

By vessel

Vessel names are in the most recent data only — 200 of 200 shipments (100%) name one, across 12 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Oluf Maersk
    0%
    390 late
  2. Maersk Freeport
    0%
    390 late
  3. Maersk Bratan
    0%
    370 late
  4. Maersk Buton
    0%
    360 late
  5. Wieland
    100%
    2d
    1414 late
  6. Cochrane
    0%
    130 late
  7. Maersk Frankfurt
    0%
    70 late
  8. Maersk Rubicon
    0%
    60 late
  9. Corcovado
    0%
    40 late
  10. Maersk Pangani
    0%
    30 late
  11. Dalian Express
    100%
    2d
    11 late
  12. Polar Costa Rica
    0%
    10 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=42
2026-07-28
0%
n=4
2026-07-29
50%
n=2
2026-07-30
0%
n=4
2026-07-31
100%
n=7
2026-08-01
0%
n=40
2026-08-04
0%
n=6
2026-08-05
18.2%
n=33
2026-08-06
0%
n=13
2026-08-07
100%
n=1
2026-08-08
0%
n=48
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.
    4.8%
    2d
    1467 late
  2. Jacksonville, Fla.
    26.1%
    2d
    236 late
  3. Los Angeles, Ca
    0%
    170 late
  4. Houston, Texas
    10%
    2d
    101 late
  5. Pt. Everglades, Florida
    50%
    2d
    21 late
  6. Newark, Nj
    0%
    10 late
  7. Norfolk, Va.
    0%
    10 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
    0.9%
    2d
    1111 late
  2. Brazil
    17.8%
    2d
    7313 late
  3. Argentina
    12.5%
    2d
    81 late
  4. Uruguay
    0%
    30 late
  5. Colombia
    0%
    30 late
  6. New Zealand
    0%
    20 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 →