Transit times / Resologix Llc

Resologix Llc

203 ocean import shipments. Delayed 9.9 points more often than the dataset average of 43.8%.

203
Shipments
53.7%
Arrived late
109 shipments
3.7 days
Average delay, when late
median 2 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.

10
4.9%
Early
84
41.4%
On time
77
37.9%
1–3 days
13
6.4%
4–7 days
17
8.4%
8–14 days
2
1%
15+ days

By carrier

Top 12 of 15 carriers; 8 shipments across the remaining 3 not shown.

% delayed avg days late, when laten = shipments
  1. Wan Hai Lines
    78.1%
    3.3d
    3225 late
  2. Matson
    10.7%
    3d
    283 late
  3. Evergreen
    39.1%
    1.6d
    239 late
  4. COSCO
    100%
    2.8d
    1818 late
  5. Zim
    55.6%
    2.2d
    1810 late
  6. HMM
    82.4%
    6.9d
    1714 late
  7. Maersk
    25%
    1.3d
    164 late
  8. ONE
    27.3%
    3d
    113 late
  9. CMA CGM
    81.8%
    4.2d
    119 late
  10. MSC
    37.5%
    5d
    83 late
  11. Yang Ming
    57.1%
    1d
    74 late
  12. OOCL
    83.3%
    7.8d
    65 late

By route

Top 12 of 48 lanes; 64 shipments across the remaining 36 not shown.

% delayed avg days late, when laten = shipments
  1. Ning Bo > Los Angeles, Ca
    36%
    2.8d
    259 late
  2. Shanghai > Long Beach, Ca
    12%
    3d
    253 late
  3. Ning Bo > Long Beach, Ca
    63.2%
    2.3d
    1912 late
  4. Yantian > Long Beach, Ca
    0%
    130 late
  5. Xiamen > Los Angeles, Ca
    91.7%
    2.2d
    1211 late
  6. Yantian > Los Angeles, Ca
    77.8%
    5.9d
    97 late
  7. Yantian > Newark, Nj
    75%
    3.2d
    86 late
  8. Shanghai > Los Angeles, Ca
    71.4%
    9.2d
    75 late
  9. Pusan > Savannah, Ga.
    100%
    2d
    66 late
  10. Pusan > Long Beach, Ca
    33.3%
    5d
    62 late
  11. Xiamen > Newark, Nj
    100%
    3.6d
    55 late
  12. Pusan > Newark, Nj
    75%
    3d
    43 late

By supplier

Top 12 of 33 suppliers; 27 shipments across the remaining 21 not shown.

% delayed avg days late, when laten = shipments
  1. Maxwide Logistics Inc
    72.1%
    3d
    4331 late
  2. Safround Logistics Co Ltd
    64.3%
    3.3d
    4227 late
  3. Sinotrans Ningbo Intl Cont
    11.1%
    3d
    273 late
  4. Reso Logistics Ningbo Co Ltd
    70.8%
    5.1d
    2417 late
  5. Ningbo X H Supply Chain Management
    28.6%
    8d
    72 late
  6. Shenzhen Dajiuzhou Supply Chain
    0%
    60 late
  7. Maxwill Logistics Inc
    100%
    2.7d
    66 late
  8. Ningbo Union Ocean Shipping
    50%
    1.3d
    63 late
  9. Ningbo Zhongyao New Energy Co Ltd
    20%
    2d
    51 late
  10. Shanghai Zehong International
    0%
    40 late
  11. Dongguan Boss International
    50%
    1d
    42 late
  12. Pt Orient Star Shipping
    0%
    20 late

By vessel

Vessel names are in the most recent data only — 203 of 203 shipments (100%) name one, across 69 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. One Singapore
    100%
    2d
    1111 late
  2. Matson Waikiki
    0%
    100 late
  3. Nyk Rumina
    90%
    2d
    109 late
  4. Zim Mount Denali
    85.7%
    2.7d
    76 late
  5. Matson Orchid
    0%
    70 late
  6. Hmm Nuri
    50%
    11.7d
    63 late
  7. Oocl Tulip
    50%
    5.3d
    63 late
  8. Cosco Shipping Camellia
    100%
    1d
    66 late
  9. Ym Tiptop
    100%
    5.2d
    55 late
  10. Cscl Summer
    100%
    1d
    55 late
  11. Wan Hai 511
    0%
    50 late
  12. Cma Cgm J. Madison
    100%
    2.8d
    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.

29.4%
n=17
2026-07-27
60%
n=20
2026-07-28
100%
n=4
2026-07-29
80%
n=10
2026-07-30
100%
n=10
2026-07-31
62.5%
n=8
2026-08-01
0%
n=18
2026-08-02
61.5%
n=13
2026-08-03
37.5%
n=16
2026-08-04
77.8%
n=18
2026-08-05
70%
n=10
2026-08-06
90.9%
n=22
2026-08-07
100%
n=2
2026-08-08
11.1%
n=18
2026-08-09
33.3%
n=12
2026-08-10
40%
n=5
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
    33.8%
    3.5d
    7124 late
  2. Los Angeles, Ca
    54.4%
    4d
    6837 late
  3. Newark, Nj
    75.9%
    3.7d
    2922 late
  4. Savannah, Ga.
    90%
    2.1d
    2018 late
  5. Houston, Texas
    33.3%
    2.7d
    93 late
  6. Charleston, S.C.
    100%
    9.5d
    22 late
  7. Tacoma, Wa
    50%
    1d
    21 late
  8. Seattle, Wa
    100%
    8d
    11 late
  9. Vancouver, Wash.
    100%
    15d
    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
    54.9%
    3.8d
    17395 late
  2. Grenada
    0%
    90 late
  3. Vietnam
    50%
    1d
    63 late
  4. Fiji
    100%
    2.7d
    66 late
  5. Indonesia
    0%
    30 late
  6. Taiwan
    100%
    2d
    22 late
  7. South Korea
    100%
    3d
    22 late
  8. Turkey
    0%
    10 late
  9. Norway
    100%
    9d
    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 →