Transit times / Jumbo Logistics Inc

Jumbo Logistics Inc

63 ocean import shipments. Delayed 16.8 points less often than the dataset average of 43.8%.

63
Shipments
27%
Arrived late
17 shipments
6.3 days
Average delay, when late
median 9 days
9 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.

8
12.7%
Early
38
60.3%
On time
6
9.5%
1–3 days
0
0%
4–7 days
11
17.5%
8–14 days
0
0%
15+ days

By carrier

All 7 carriers used.

% delayed avg days late, when laten = shipments
  1. HEDE Shipping
    0%
    180 late
  2. Zim
    33.3%
    1d
    155 late
  3. HMM
    100%
    9d
    1111 late
  4. MSC
    0%
    80 late
  5. Maersk
    0%
    60 late
  6. ONE
    25%
    3d
    41 late
  7. CMA CGM
    0%
    10 late

By route

All 9 lanes.

% delayed avg days late, when laten = shipments
  1. Shanghai > Los Angeles, Ca
    18.2%
    9d
    224 late
  2. Ning Bo > Newark, Nj
    38.5%
    1d
    135 late
  3. Ning Bo > Los Angeles, Ca
    54.5%
    9d
    116 late
  4. Yantian > Long Beach, Ca
    0%
    60 late
  5. Pusan > Houston, Texas
    0%
    30 late
  6. Cartagena > Miami, Florida
    0%
    30 late
  7. Pusan > Los Angeles, Ca
    0%
    30 late
  8. Qingdao > Los Angeles, Ca
    100%
    9d
    11 late
  9. Pusan > Savannah, Ga.
    100%
    3d
    11 late

By supplier

All 6 suppliers.

% delayed avg days late, when laten = shipments
  1. Safround Logistics Co Ltd
    41.9%
    5.5d
    3113 late
  2. Hye E Commerce Logistics Co Ltd
    0%
    160 late
  3. Jiaxing Hye E Commerce Logistics
    0%
    60 late
  4. Hye E Commerce Logistics Company
    0%
    40 late
  5. China Int L Freight Co Ltd
    100%
    9d
    44 late
  6. Rain Logistics Co Ltd
    0%
    20 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.

54.5%
n=22
2026-08-04
12.2%
n=41
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. Los Angeles, Ca
    29.7%
    9d
    3711 late
  2. Newark, Nj
    38.5%
    1d
    135 late
  3. Long Beach, Ca
    0%
    60 late
  4. Houston, Texas
    0%
    30 late
  5. Miami, Florida
    0%
    30 late
  6. Savannah, Ga.
    100%
    3d
    11 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
    27%
    6.3d
    6317 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 →