Transit times / Conair Llc

Conair Llc

229 ocean import shipments. Delayed 17.8 points more often than the dataset average of 43.8%.

229
Shipments
61.6%
Arrived late
141 shipments
3.3 days
Average delay, when late
median 3 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.

9
3.9%
Early
79
34.5%
On time
117
51.1%
1–3 days
4
1.7%
4–7 days
19
8.3%
8–14 days
1
0.4%
15+ days

By carrier

Top 12 of 18 carriers; 9 shipments across the remaining 6 not shown.

% delayed avg days late, when laten = shipments
  1. MSC
    94.3%
    2.9d
    3533 late
  2. Zim
    33.3%
    2d
    3010 late
  3. OOCL
    89.3%
    2.7d
    2825 late
  4. HMM
    70.4%
    5.4d
    2719 late
  5. COSCO
    76.9%
    2d
    2620 late
  6. CMA CGM
    52.6%
    2d
    1910 late
  7. Wan Hai Lines
    93.8%
    4.7d
    1615 late
  8. Yang Ming
    14.3%
    2d
    142 late
  9. Evergreen
    0%
    130 late
  10. SM Line
    0%
    50 late
  11. Hapag Lloyd
    0%
    40 late
  12. ITGB
    33.3%
    15d
    31 late

By route

Top 12 of 46 lanes; 86 shipments across the remaining 34 not shown.

% delayed avg days late, when laten = shipments
  1. Yantian > Long Beach, Ca
    64.3%
    1.6d
    2818 late
  2. Ning Bo > Baltimore, Md.
    60%
    1.8d
    2012 late
  3. Yantian > Los Angeles, Ca
    85.7%
    4.9d
    1412 late
  4. Ning Bo > Long Beach, Ca
    76.9%
    3.4d
    1310 late
  5. Yantian > Baltimore, Md.
    50%
    3d
    126 late
  6. Ning Bo > Los Angeles, Ca
    18.2%
    5.5d
    112 late
  7. Singapore > Baltimore, Md.
    70%
    3d
    107 late
  8. Yantian > Newark, Nj
    100%
    5.3d
    88 late
  9. Xiamen > Long Beach, Ca
    57.1%
    1.8d
    74 late
  10. Shekou > Los Angeles, Ca
    100%
    2.4d
    77 late
  11. Singapore > Los Angeles, Ca
    42.9%
    4.3d
    73 late
  12. Hai Phong > Long Beach, Ca
    50%
    3d
    63 late

By supplier

Top 12 of 50 suppliers; 52 shipments across the remaining 38 not shown.

% delayed avg days late, when laten = shipments
  1. Continental Conair Limited
    53.8%
    2.5d
    6535 late
  2. Continental Conair Ltd
    79.7%
    3.7d
    5947 late
  3. Pt Borine Technology Indonesia
    68.8%
    4.2d
    1611 late
  4. Lusso Solutions Sdn Bhd
    85.7%
    2.7d
    76 late
  5. Tung Hing Bangladesh
    0%
    50 late
  6. Ms Vietnam Electronics Co Ltd
    50%
    2.5d
    42 late
  7. Delmar International Hong Kong
    0%
    40 late
  8. Delmar International China Inc S
    75%
    1.3d
    43 late
  9. Delmar International Hong Kong Ltd
    100%
    2.8d
    44 late
  10. Gold Edge Industries Co
    100%
    4.7d
    33 late
  11. Astris International Enterprise
    33.3%
    2d
    31 late
  12. Y S C Yorkson Star Cambodia Co
    100%
    5d
    33 late

By vessel

Vessel names are in the most recent data only — 229 of 229 shipments (100%) name one, across 62 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc Chiara X
    61.5%
    3d
    2616 late
  2. Ever Favor
    18.8%
    1d
    163 late
  3. Cosco Shipping Panama
    78.6%
    1d
    1411 late
  4. Cosco Shipping Denali
    100%
    2d
    1010 late
  5. Conti Conquest
    100%
    9d
    88 late
  6. Cosco Shipping Camellia
    100%
    1.3d
    77 late
  7. Wan Hai A19
    100%
    3d
    77 late
  8. America
    100%
    3d
    77 late
  9. Msc Mumbai Viii
    83.3%
    1d
    65 late
  10. One Singapore
    100%
    2d
    55 late
  11. Seattle Bridge
    60%
    2d
    53 late
  12. Msc Ilaria
    100%
    3d
    55 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.

88.9%
n=27
2026-07-27
40.9%
n=22
2026-07-28
40%
n=10
2026-07-29
100%
n=14
2026-07-30
60%
n=10
2026-07-31
94.4%
n=18
2026-08-01
41%
n=39
2026-08-02
30.8%
n=13
2026-08-04
37.5%
n=24
2026-08-05
63.6%
n=11
2026-08-06
84.6%
n=13
2026-08-07
100%
n=9
2026-08-08
45.5%
n=11
2026-08-09
60%
n=5
2026-08-10
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. Long Beach, Ca
    59.5%
    2.4d
    7947 late
  2. Baltimore, Md.
    54.5%
    2.4d
    6636 late
  3. Los Angeles, Ca
    63.2%
    3.9d
    5736 late
  4. Newark, Nj
    80.8%
    5.9d
    2621 late
  5. New York, N.Y.
    100%
    4d
    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
    70.8%
    3.2d
    13092 late
  2. Vietnam
    62.5%
    2.8d
    2415 late
  3. Indonesia
    73.3%
    3.6d
    1511 late
  4. Grenada
    0%
    90 late
  5. Cambodia
    62.5%
    3.8d
    85 late
  6. Singapore
    62.5%
    3.8d
    85 late
  7. Malaysia
    71.4%
    3d
    75 late
  8. Bangladesh
    0%
    70 late
  9. Thailand
    0%
    50 late
  10. Hong Kong S.A.R.
    20%
    3d
    51 late
  11. Italy
    50%
    8.5d
    42 late
  12. Taiwan
    100%
    5.7d
    33 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 →