Transit times / Storck Usa L P

Storck Usa L P

237 ocean import shipments. Delayed 44.4 points more often than the dataset average of 43.8%.

237
Shipments
88.2%
Arrived late
209 shipments
15 days
Average delay, when late
median 15 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.

1
0.4%
Early
27
11.4%
On time
0
0%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
209
88.2%
15+ days

By carrier

All 3 carriers used.

% delayed avg days late, when laten = shipments
  1. Kuehne + Nagel
    92.1%
    15d
    227209 late
  2. ONE
    0%
    90 late
  3. Hapag Lloyd
    0%
    10 late

By route

Top 12 of 13 lanes; 1 shipments across the remaining 1 not shown.

% delayed avg days late, when laten = shipments
  1. Stadersand > Savannah, Ga.
    82.5%
    15d
    10385 late
  2. Stadersand > Philadelphia, Pa.
    100%
    15d
    4545 late
  3. Stadersand > New York, N.Y.
    100%
    15d
    3939 late
  4. Wilhelmshaven > Philadelphia, Pa.
    100%
    15d
    1111 late
  5. Wilhelmshaven > New York, N.Y.
    100%
    15d
    1111 late
  6. Stadersand > Charleston, S.C.
    100%
    15d
    1010 late
  7. (port not stated) > Oakland, Ca
    0%
    70 late
  8. Bremerhaven > Oakland, Ca
    100%
    15d
    44 late
  9. Sines > Oakland, Ca
    100%
    15d
    22 late
  10. Wilhelmshaven > Norfolk, Va.
    100%
    15d
    22 late
  11. Antwerp > Oakland, Ca
    0%
    10 late
  12. (port not stated) > Savannah, Ga.
    0%
    10 late

By supplier

All 1 suppliers.

% delayed avg days late, when laten = shipments
  1. August Storck Kg
    88.2%
    15d
    237209 late

By vessel

Vessel names are in the most recent data only — 237 of 237 shipments (100%) name one, across 14 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Gsl Christel Elisabeth
    100%
    15d
    3838 late
  2. Porto Germeno
    100%
    15d
    3333 late
  3. Yantian Express
    100%
    15d
    3030 late
  4. Pl Germany
    100%
    15d
    2828 late
  5. Suape Express
    100%
    15d
    2424 late
  6. Kiel Express
    100%
    15d
    2323 late
  7. Al Safat
    0%
    190 late
  8. Ningbo Express
    100%
    15d
    1818 late
  9. Sfl Maui
    100%
    15d
    99 late
  10. Nyk Nebula
    0%
    80 late
  11. Msc Gabriella
    100%
    15d
    22 late
  12. Msc Firenze
    100%
    15d
    22 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.

100%
n=2
2026-07-27
97.1%
n=34
2026-07-28
100%
n=5
2026-07-29
100%
n=25
2026-07-31
100%
n=33
2026-08-02
0%
n=19
2026-08-03
100%
n=55
2026-08-04
100%
n=4
2026-08-05
100%
n=12
2026-08-07
20%
n=10
2026-08-08
100%
n=38
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. Savannah, Ga.
    81.7%
    15d
    10485 late
  2. Philadelphia, Pa.
    100%
    15d
    5656 late
  3. New York, N.Y.
    100%
    15d
    5050 late
  4. Oakland, Ca
    42.9%
    15d
    146 late
  5. Charleston, S.C.
    100%
    15d
    1010 late
  6. Norfolk, Va.
    66.7%
    15d
    32 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. Germany
    88.2%
    15d
    237209 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 →