Transit times / Jysk Linenn Furniture

Jysk Linenn Furniture

68 ocean import shipments. Delayed 12.1 points more often than the dataset average of 43.8%.

68
Shipments
55.9%
Arrived late
38 shipments
3 days
Average delay, when late
median 3 days
3 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
30
44.1%
On time
38
55.9%
1–3 days
0
0%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 1 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    55.9%
    3d
    6838 late

By route

All 3 lanes.

% delayed avg days late, when laten = shipments
  1. Ning Bo > Tacoma, Wa
    63%
    3d
    2717 late
  2. Yangshan > Tacoma, Wa
    100%
    3d
    2121 late
  3. Pusan > Tacoma, Wa
    0%
    200 late

By supplier

Top 12 of 47 suppliers; 35 shipments across the remaining 35 not shown.

% delayed avg days late, when laten = shipments
  1. Best Mattresses International Compa
    75%
    3d
    86 late
  2. Actona Group As
    75%
    3d
    43 late
  3. Ynt Industrial Limited
    100%
    3d
    33 late
  4. Anji Saiwen Furniture Co Ltd
    0%
    20 late
  5. Dandong Hongde Candle Industrial
    0%
    20 late
  6. Shandong Yashangmingpin Household C
    0%
    20 late
  7. W A Cushion Sdn Bhd
    50%
    3d
    21 late
  8. Zhejiang Anji Daming Furniture
    100%
    3d
    22 late
  9. Saffron Living Co Ltd
    100%
    3d
    22 late
  10. Shaoxing Qixi Import & Export Co
    100%
    3d
    22 late
  11. Zoy Home Furnishing Co Ltd
    100%
    3d
    22 late
  12. Shanghai Foreign Tradeenterprises C
    100%
    3d
    22 late

By vessel

Vessel names are in the most recent data only — 68 of 68 shipments (100%) name one, across 2 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Budapest Express
    100%
    3d
    3838 late
  2. Santa Barbara
    0%
    300 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=38
2026-07-31
0%
n=30
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. Tacoma, Wa
    55.9%
    3d
    6838 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
    50.9%
    3d
    5327 late
  2. Cambodia
    75%
    3d
    86 late
  3. Malaysia
    66.7%
    3d
    32 late
  4. Thailand
    100%
    3d
    22 late
  5. Norway
    0%
    10 late
  6. India
    100%
    3d
    11 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 →