Transit times / Euromarket Designs Inc

Euromarket Designs Inc

399 ocean import shipments. Delayed 5.2 points less often than the dataset average of 43.8%.

399
Shipments
38.6%
Arrived late
154 shipments
5.1 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.

10
2.5%
Early
235
58.9%
On time
91
22.8%
1–3 days
12
3%
4–7 days
36
9%
8–14 days
15
3.8%
15+ days

By carrier

All 12 carriers used.

% delayed avg days late, when laten = shipments
  1. ONE
    2.9%
    1d
    1364 late
  2. HMM
    68.1%
    4.7d
    6947 late
  3. Hapag Lloyd
    1.5%
    2d
    681 late
  4. OOCL
    100%
    2.8d
    3333 late
  5. SVDL
    92.3%
    11d
    2624 late
  6. SDBJ
    100%
    4.5d
    1515 late
  7. Zim
    7.1%
    4d
    141 late
  8. MSC
    85.7%
    3.2d
    1412 late
  9. CHSL
    91.7%
    6.8d
    1211 late
  10. Evergreen
    33.3%
    1d
    62 late
  11. SMMB
    80%
    2d
    54 late
  12. DMAL
    0%
    10 late

By route

Top 12 of 43 lanes; 81 shipments across the remaining 31 not shown.

% delayed avg days late, when laten = shipments
  1. Vung Tau > Los Angeles, Ca
    22.9%
    1.9d
    8319 late
  2. Vung Tau > Long Beach, Ca
    32.8%
    1.9d
    6120 late
  3. Singapore > Los Angeles, Ca
    14.6%
    2d
    416 late
  4. Yantian > Long Beach, Ca
    17.6%
    1d
    173 late
  5. Yantian > Los Angeles, Ca
    41.2%
    6.7d
    177 late
  6. Pusan > Los Angeles, Ca
    40%
    9d
    156 late
  7. Mundra > Newark, Nj
    6.7%
    1d
    151 late
  8. Livorno > Newark, Nj
    93.3%
    11.1d
    1514 late
  9. Sines > Newark, Nj
    100%
    6.7d
    1414 late
  10. Kaohsiung > Long Beach, Ca
    100%
    1.4d
    1414 late
  11. Ning Bo > Los Angeles, Ca
    7.7%
    9d
    131 late
  12. Pusan > Long Beach, Ca
    69.2%
    7d
    139 late

By supplier

Top 12 of 159 suppliers; 248 shipments across the remaining 147 not shown.

% delayed avg days late, when laten = shipments
  1. Koda Saigon Co Ltd
    14.3%
    2.3d
    213 late
  2. Big Joy Pte Ltd
    11.8%
    2d
    172 late
  3. Going Strong Enterprise Co Ltd
    6.3%
    2d
    161 late
  4. Pt Kurnia Anggun
    92.9%
    3.4d
    1413 late
  5. Hangzhou Aboo Furniture Co Ltd
    23.1%
    6.3d
    133 late
  6. Ntn Co Ltd
    25%
    1.3d
    123 late
  7. R Home Furnishings Co Ltd
    8.3%
    4d
    121 late
  8. Chien Vietnam Furniture Mfg Co
    45.5%
    1.6d
    115 late
  9. Casarredo Manufacturing Co Ltd
    27.3%
    1.7d
    113 late
  10. Galaxy Cargo Services India Llp
    10%
    1d
    101 late
  11. Pt Kayu Mebel Indonesia
    75%
    4.3d
    86 late
  12. Yang Cheng Wooden Industries Int
    33.3%
    2d
    62 late

By vessel

Vessel names are in the most recent data only — 399 of 399 shipments (100%) name one, across 56 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Conti Contessa
    0%
    320 late
  2. Seattle Bridge
    76%
    2d
    2519 late
  3. Zeal Lumos
    0%
    240 late
  4. Maersk Antares
    0%
    220 late
  5. Conti Conquest
    15%
    9d
    203 late
  6. Ym Width
    0%
    200 late
  7. One Forever
    0%
    180 late
  8. Cosco Shipping Panama
    94.4%
    1d
    1817 late
  9. One Commitment
    35.3%
    2d
    176 late
  10. Cosco Shipping Denali
    94.1%
    2d
    1716 late
  11. Msc Jeongmin
    100%
    6d
    1616 late
  12. Maersk Klaipeda
    0%
    160 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.

40.7%
n=54
2026-07-27
46.2%
n=13
2026-07-28
66.7%
n=12
2026-07-29
50%
n=8
2026-07-30
50%
n=14
2026-07-31
69.2%
n=26
2026-08-01
14.9%
n=87
2026-08-02
50%
n=2
2026-08-03
60.5%
n=43
2026-08-04
100%
n=7
2026-08-05
70.8%
n=24
2026-08-06
100%
n=5
2026-08-07
8.1%
n=37
2026-08-08
0%
n=48
2026-08-09
100%
n=17
2026-08-10
0%
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. Los Angeles, Ca
    26.4%
    4.5d
    19351 late
  2. Long Beach, Ca
    38.2%
    2.8d
    13150 late
  3. Newark, Nj
    69.7%
    7.5d
    6646 late
  4. New York, N.Y.
    100%
    10.8d
    66 late
  5. Savannah, Ga.
    50%
    4d
    21 late
  6. Charleston, S.C.
    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. Vietnam
    30.8%
    1.9d
    13341 late
  2. Indonesia
    65.2%
    2.7d
    4630 late
  3. China
    34.1%
    7.1d
    4415 late
  4. Cambodia
    2.3%
    4d
    431 late
  5. Taiwan
    28.1%
    7.1d
    329 late
  6. India
    15.8%
    1.7d
    193 late
  7. Italy
    93.3%
    11.1d
    1514 late
  8. Portugal
    100%
    6.7d
    1414 late
  9. Thailand
    0%
    110 late
  10. Turkey
    88.9%
    8d
    98 late
  11. Canada
    33.3%
    2d
    62 late
  12. South Korea
    75%
    9d
    43 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 →