Transit times / Barsan Global Logistics Inc

Barsan Global Logistics Inc

70 ocean import shipments. Delayed 16.7 points less often than the dataset average of 43.8%.

70
Shipments
27.1%
Arrived late
19 shipments
1.9 days
Average delay, when late
median 1 days
13 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.

2
2.9%
Early
49
70%
On time
18
25.7%
1–3 days
0
0%
4–7 days
1
1.4%
8–14 days
0
0%
15+ days

By carrier

All 5 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    22.9%
    1.8d
    358 late
  2. Hapag Lloyd
    37%
    1d
    2710 late
  3. Maersk
    0%
    60 late
  4. CMA CGM
    100%
    13d
    11 late
  5. Zim
    0%
    10 late

By route

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

% delayed avg days late, when laten = shipments
  1. Valencia > Long Beach, Ca
    0%
    140 late
  2. Mina Dumyat > Norfolk, Va.
    100%
    1d
    1010 late
  3. Nemrut Bay > Newark, Nj
    0%
    100 late
  4. Sines > Long Beach, Ca
    0%
    90 late
  5. Freeport, Grand Bahama Island > Savannah, Ga.
    100%
    1d
    55 late
  6. Tangier > Norfolk, Va.
    0%
    40 late
  7. Istanbul > Newark, Nj
    0%
    40 late
  8. Valencia > Baltimore, Md.
    100%
    3d
    22 late
  9. La Spezia > Long Beach, Ca
    0%
    20 late
  10. Gioia Tauro > Long Beach, Ca
    0%
    20 late
  11. Izmir > Newark, Nj
    0%
    20 late
  12. Tutunciftlik > Savannah, Ga.
    0%
    10 late

By supplier

All 6 suppliers.

% delayed avg days late, when laten = shipments
  1. Barsan Global Lojistik A S
    29%
    1.3d
    6218 late
  2. U Del Corona & Scardigli Srl
    0%
    20 late
  3. Del Corona & Scardigli Spain S L U
    0%
    20 late
  4. Barsan Global Logistic Llc
    0%
    20 late
  5. Barsan Global Lojistik As
    100%
    13d
    11 late
  6. Pt Barsan Global Logistics
    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.

8%
n=50
2026-08-04
75%
n=20
2026-08-05

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. Long Beach, Ca
    0%
    270 late
  2. Newark, Nj
    0%
    170 late
  3. Norfolk, Va.
    71.4%
    1d
    1410 late
  4. Savannah, Ga.
    71.4%
    1d
    75 late
  5. Baltimore, Md.
    100%
    3d
    33 late
  6. Los Angeles, Ca
    100%
    13d
    11 late
  7. Miami, Florida
    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. Turkey
    30.6%
    1.9d
    6219 late
  2. Italy
    0%
    20 late
  3. Spain
    0%
    20 late
  4. Bulgaria
    0%
    20 late
  5. Morocco
    0%
    10 late
  6. Indonesia
    0%
    10 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 →