Transit times / Forest Shipping Usa Inc

Forest Shipping Usa Inc

50 ocean import shipments. Delayed 35.8 points less often than the dataset average of 43.8%.

50
Shipments
8%
Arrived late
4 shipments
9.5 days
Average delay, when late
median 9.5 days
17 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.

0
0%
Early
46
92%
On time
2
4%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
2
4%
15+ days

By carrier

All 5 carriers used.

% delayed avg days late, when laten = shipments
  1. Zim
    0%
    340 late
  2. Evergreen
    0%
    50 late
  3. COSCO
    0%
    50 late
  4. Wan Hai Lines
    100%
    9.5d
    44 late
  5. Yang Ming
    0%
    20 late

By route

All 6 lanes.

% delayed avg days late, when laten = shipments
  1. Yantian > Long Beach, Ca
    0%
    320 late
  2. Shanghai > Los Angeles, Ca
    25%
    17d
    82 late
  3. Yantian > Oakland, Ca
    0%
    50 late
  4. Shekou > Los Angeles, Ca
    100%
    2d
    22 late
  5. Qingdao > Los Angeles, Ca
    0%
    20 late
  6. Xiamen > Long Beach, Ca
    0%
    10 late

By supplier

All 12 suppliers.

% delayed avg days late, when laten = shipments
  1. Forest Shipping Worldwide Ltd
    0%
    300 late
  2. Forest Shipping Worldwide Limited
    25%
    2d
    41 late
  3. Toplink Logistics Inc
    0%
    30 late
  4. Elink Shanghai Supplychain
    0%
    20 late
  5. Casia Global Logistics Company
    0%
    20 late
  6. Orient Star Transport Intl Ltd
    0%
    20 late
  7. Topasia International Logistics Co
    100%
    17d
    22 late
  8. Shenzhen High Sea Logistics Limited
    0%
    10 late
  9. T H I Group Shanghai Limited
    0%
    10 late
  10. Shenzhen Macy Supply Chain Manageme
    0%
    10 late
  11. Hangzhou Far
    0%
    10 late
  12. Express Star Line Ltd
    100%
    2d
    11 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.

5.4%
n=37
2026-08-04
15.4%
n=13
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%
    330 late
  2. Los Angeles, Ca
    33.3%
    9.5d
    124 late
  3. Oakland, Ca
    0%
    50 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. Grenada
    0%
    280 late
  2. China
    20%
    9.5d
    204 late
  3. Taiwan
    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 →