Transit times / Loblaw Inc

Loblaw Inc

93 ocean import shipments. Delayed 27.7 points less often than the dataset average of 43.8%.

93
Shipments
16.1%
Arrived late
15 shipments
3 days
Average delay, when late
median 4 days
5 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.

3
3.2%
Early
75
80.6%
On time
6
6.5%
1–3 days
9
9.7%
4–7 days
0
0%
8–14 days
0
0%
15+ days

By carrier

All 2 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    15.2%
    3.1d
    9214 late
  2. Evergreen
    100%
    1d
    11 late

By route

All 10 lanes.

% delayed avg days late, when laten = shipments
  1. Cape Town > Newark, Nj
    0%
    590 late
  2. Port Elizabeth > Newark, Nj
    0%
    110 late
  3. Ning Bo > Seattle, Wa
    100%
    2.7d
    77 late
  4. Yantian > Seattle, Wa
    100%
    4.8d
    44 late
  5. All Other Panama West Coast Region Ports > Los Angeles, Ca
    0%
    30 late
  6. Port Natal > Newark, Nj
    0%
    30 late
  7. All Other Panama West Coast Region Ports > Long Beach, Ca
    0%
    20 late
  8. Shanghai > Seattle, Wa
    100%
    1d
    22 late
  9. Kaohsiung > Tacoma, Wa
    100%
    1d
    11 late
  10. All Other Viet Nam Ports > Seattle, Wa
    100%
    4d
    11 late

By supplier

Top 12 of 19 suppliers; 7 shipments across the remaining 7 not shown.

% delayed avg days late, when laten = shipments
  1. Wp Fresh Distributors Pty Ltd
    0%
    570 late
  2. Safresco South Africa Pty Ltd
    0%
    80 late
  3. Procesadora Laran Sac
    0%
    40 late
  4. Ningbo Linhua Plastic Co Ltd
    100%
    4d
    44 late
  5. Yang&Young International Co Ltd
    100%
    1d
    33 late
  6. Swellenfruit Packing Pty Ltd
    0%
    20 late
  7. Capespan South Africa Pty Ltd
    0%
    20 late
  8. Zhuji Sanfei Socks Co Ltd
    100%
    1d
    22 late
  9. Freshworld Pty Ltd
    0%
    10 late
  10. Everseason Pty Ltd
    0%
    10 late
  11. Good Hope Marketing Pty Ltd
    0%
    10 late
  12. Southern Fruit Growers Pty Ltd
    0%
    10 late

By vessel

Vessel names are in the most recent data only — 93 of 93 shipments (100%) name one, across 8 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc Anisha R.
    0%
    380 late
  2. Msc Carmen
    0%
    350 late
  3. Msc Pina
    100%
    4d
    66 late
  4. Manzanillo Bridge
    100%
    1d
    55 late
  5. Msc Mexico V
    100%
    5d
    33 late
  6. Msc Hortense
    0%
    30 late
  7. Msc Athos
    0%
    20 late
  8. Ever Sigma
    100%
    1d
    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.

11.6%
n=43
2026-07-27
0%
n=3
2026-07-28
100%
n=6
2026-08-01
0%
n=2
2026-08-04
0%
n=35
2026-08-05
100%
n=1
2026-08-06
100%
n=3
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. Newark, Nj
    0%
    730 late
  2. Seattle, Wa
    100%
    3.1d
    1414 late
  3. Los Angeles, Ca
    0%
    30 late
  4. Long Beach, Ca
    0%
    20 late
  5. Tacoma, Wa
    100%
    1d
    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. South Africa
    0%
    700 late
  2. China
    100%
    2.3d
    99 late
  3. Peru
    0%
    40 late
  4. Thailand
    100%
    4.8d
    44 late
  5. Brazil
    0%
    30 late
  6. Malaysia
    100%
    1d
    11 late
  7. Vietnam
    100%
    4d
    11 late
  8. Chile
    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 →