Transit times / Jupiter International Usa Inc

Jupiter International Usa Inc

420 ocean import shipments. Delayed 2.2 points more often than the dataset average of 43.8%.

420
Shipments
46%
Arrived late
193 shipments
2.8 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.

37
8.8%
Early
190
45.2%
On time
156
37.1%
1–3 days
21
5%
4–7 days
14
3.3%
8–14 days
2
0.5%
15+ days

By carrier

All 12 carriers used.

% delayed avg days late, when laten = shipments
  1. Zim
    64.8%
    2.7d
    12883 late
  2. ONE
    24.7%
    1.4d
    9323 late
  3. Evergreen
    27.6%
    1.4d
    5816 late
  4. COSCO
    52.3%
    5d
    4423 late
  5. Yang Ming
    14.3%
    2.2d
    355 late
  6. MSC
    81.5%
    2.2d
    2722 late
  7. CMA CGM
    80%
    1.9d
    1512 late
  8. Maersk
    0%
    80 late
  9. HMM
    100%
    6.3d
    66 late
  10. Wan Hai Lines
    100%
    7d
    33 late
  11. HEDE Shipping
    0%
    20 late
  12. Hapag Lloyd
    0%
    10 late

By route

Top 12 of 58 lanes; 104 shipments across the remaining 46 not shown.

% delayed avg days late, when laten = shipments
  1. Yantian > Long Beach, Ca
    37.7%
    2.1d
    7729 late
  2. Yantian > Newark, Nj
    35.6%
    2.6d
    5921 late
  3. Yantian > Los Angeles, Ca
    26%
    3.2d
    5013 late
  4. Yantian > Savannah, Ga.
    75%
    2d
    3224 late
  5. Yantian > Tampa, Fla.
    100%
    2.1d
    1717 late
  6. Pusan > Newark, Nj
    62.5%
    1.7d
    1610 late
  7. Pusan > Honolulu, Hawaii
    0%
    140 late
  8. Vung Tau > Savannah, Ga.
    0%
    120 late
  9. Shanghai > Los Angeles, Ca
    10%
    17d
    101 late
  10. Yantian > Miami, Florida
    100%
    2.4d
    1010 late
  11. Qingdao > Los Angeles, Ca
    20%
    2d
    102 late
  12. Yantian > Houston, Texas
    44.4%
    1.8d
    94 late

By supplier

Top 12 of 14 suppliers; 2 shipments across the remaining 2 not shown.

% delayed avg days late, when laten = shipments
  1. Fourever International Limited
    46.8%
    2.4d
    348163 late
  2. Lf Supply Chain Management Company
    40%
    4.5d
    3514 late
  3. Js Int L Logistics Co Ltd
    0%
    150 late
  4. Casia Global Logistics Company
    100%
    3.3d
    33 late
  5. Fourever Ecommerce Co Ltd
    0%
    30 late
  6. Shine International Transportation
    100%
    8d
    33 late
  7. Eastbound Shipping Inc
    100%
    2.3d
    33 late
  8. Concord Tianjin International Freig
    0%
    20 late
  9. Xiamen Ocean Source Supply Chain
    100%
    2d
    22 late
  10. Foureight International Limited
    100%
    5d
    22 late
  11. Fourever E Commerce Co Ltd
    100%
    17d
    11 late
  12. Safround Logistics Co Ltd
    100%
    1d
    11 late

By vessel

Vessel names are in the most recent data only — 420 of 420 shipments (100%) name one, across 83 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Zim Mount Blanc
    48.7%
    1d
    3919 late
  2. Zim Mount Denali
    100%
    3.1d
    2222 late
  3. Msc Kumsal
    100%
    2d
    1919 late
  4. Msc Chiara X
    0%
    190 late
  5. Ym Tiptop
    94.1%
    1.7d
    1716 late
  6. Msc Nerissa V
    100%
    2d
    1717 late
  7. Asiatic Pride
    0%
    140 late
  8. Ever Mild
    0%
    120 late
  9. One Manchester
    25%
    2d
    123 late
  10. One Aquila
    9.1%
    1d
    111 late
  11. Cosco Shipping Denali
    60%
    2d
    106 late
  12. Xin Fei Zhou
    0%
    90 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.

64.2%
n=53
2026-07-27
51%
n=51
2026-07-28
5.6%
n=18
2026-07-29
88.5%
n=26
2026-07-30
5%
n=40
2026-07-31
53.8%
n=26
2026-08-01
14.7%
n=34
2026-08-02
60%
n=10
2026-08-03
33.3%
n=33
2026-08-04
71.4%
n=7
2026-08-05
72.7%
n=22
2026-08-06
77.8%
n=9
2026-08-07
20%
n=15
2026-08-08
40%
n=25
2026-08-09
56%
n=25
2026-08-10
61.5%
n=26
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
    46.3%
    2.8d
    9544 late
  2. Long Beach, Ca
    41.2%
    2.4d
    8535 late
  3. Los Angeles, Ca
    27.5%
    3.3d
    8022 late
  4. Savannah, Ga.
    60%
    2.5d
    6539 late
  5. Tampa, Fla.
    100%
    2.1d
    1818 late
  6. Houston, Texas
    42.9%
    1.5d
    146 late
  7. Honolulu, Hawaii
    0%
    140 late
  8. Miami, Florida
    100%
    2.4d
    1111 late
  9. Tacoma, Wa
    30%
    1.3d
    103 late
  10. Oakland, Ca
    33.3%
    2.3d
    93 late
  11. Baltimore, Md.
    16.7%
    1d
    61 late
  12. Charleston, S.C.
    80%
    8d
    54 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. China
    41.3%
    2.6d
    269111 late
  2. Grenada
    59.6%
    2.9d
    10462 late
  3. Vietnam
    22.2%
    1.8d
    184 late
  4. South Korea
    54.5%
    2.5d
    116 late
  5. Fiji
    87.5%
    2.9d
    87 late
  6. Malaysia
    0%
    50 late
  7. Thailand
    100%
    8d
    33 late
  8. Saint Helena
    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 →