Transit times / House Of Spices India Inc

House Of Spices India Inc

239 ocean import shipments. Delayed 2.6 points more often than the dataset average of 43.8%.

239
Shipments
46.4%
Arrived late
111 shipments
2.6 days
Average delay, when late
median 2 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.

24
10%
Early
104
43.5%
On time
85
35.6%
1–3 days
25
10.5%
4–7 days
0
0%
8–14 days
1
0.4%
15+ days

By carrier

All 8 carriers used.

% delayed avg days late, when laten = shipments
  1. Maersk
    33.1%
    1.3d
    14849 late
  2. MSC
    66.7%
    3.5d
    3624 late
  3. CMA CGM
    100%
    3.8d
    2525 late
  4. CGWK
    43.5%
    3d
    2310 late
  5. SIFK
    50%
    9.5d
    42 late
  6. Evergreen
    0%
    10 late
  7. AIRL
    100%
    4d
    11 late
  8. Hapag Lloyd
    0%
    10 late

By route

Top 12 of 40 lanes; 67 shipments across the remaining 28 not shown.

% delayed avg days late, when laten = shipments
  1. Jawaharlal Nehru > Newark, Nj
    20.8%
    1d
    5311 late
  2. Mundra > Newark, Nj
    43.5%
    2.4d
    2310 late
  3. Jawaharlal Nehru > New York, N.Y.
    100%
    4d
    2020 late
  4. Vung Tau > Oakland, Ca
    100%
    4d
    1212 late
  5. Jawaharlal Nehru > Savannah, Ga.
    40%
    1d
    104 late
  6. Jawaharlal Nehru > Norfolk, Va.
    22.2%
    2d
    92 late
  7. Mina Raysut > Houston, Texas
    22.2%
    2d
    92 late
  8. Qingdao > Oakland, Ca
    88.9%
    2d
    98 late
  9. Jawaharlal Nehru > Houston, Texas
    25%
    2d
    82 late
  10. Mundra > Savannah, Ga.
    100%
    1d
    77 late
  11. Ning Bo > Los Angeles, Ca
    0%
    60 late
  12. Tangier > Houston, Texas
    0%
    60 late

By supplier

Top 12 of 49 suppliers; 79 shipments across the remaining 37 not shown.

% delayed avg days late, when laten = shipments
  1. Itc Limited
    47.2%
    2.8d
    3617 late
  2. Shree Gajanan Industries
    30.8%
    3.1d
    268 late
  3. Shree Bhagwati Flour Foods Pvt
    61.1%
    1.1d
    1811 late
  4. Kogta Import & Export Pvt Ltd
    16.7%
    3d
    122 late
  5. Sri Lalitha International
    54.5%
    1.5d
    116 late
  6. Shri Mahavir Agritech
    80%
    2.8d
    108 late
  7. Atrio Overseas Llp
    20%
    1d
    102 late
  8. Raghuvanshi Export
    33.3%
    1.3d
    93 late
  9. Laxmi Protein Products Pvt Ltd
    75%
    3.5d
    86 late
  10. B D Edible Oils Pvt Ltd
    50%
    2.8d
    84 late
  11. Foods And Inns Ltd
    33.3%
    1d
    62 late
  12. Kawan Food Manufacturing Sdn Bhd
    100%
    2d
    66 late

By vessel

Vessel names are in the most recent data only — 239 of 239 shipments (100%) name one, across 33 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Seroja Lima
    9.1%
    1d
    444 late
  2. Maersk Denver
    96.4%
    1d
    2827 late
  3. Cma Cgm Congo
    100%
    2.5d
    2020 late
  4. Gerd Maersk
    64.3%
    2d
    149 late
  5. Maersk Sebarok
    0%
    130 late
  6. Msc Darlene
    100%
    4d
    1212 late
  7. Maersk Seletar
    0%
    110 late
  8. Msc Tasman Vi
    0%
    100 late
  9. Cma Cgm Bianca
    100%
    7d
    99 late
  10. Niledutch Lion
    11.1%
    15d
    91 late
  11. Good Prospect
    100%
    1.4d
    99 late
  12. Nicaragua Express
    0%
    60 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.

0%
n=8
2026-07-28
37.5%
n=8
2026-07-29
0%
n=14
2026-07-30
71.4%
n=7
2026-07-31
63.6%
n=22
2026-08-01
33.3%
n=6
2026-08-02
100%
n=2
2026-08-03
10.9%
n=46
2026-08-04
100%
n=29
2026-08-05
25%
n=8
2026-08-06
75.7%
n=37
2026-08-07
36.4%
n=11
2026-08-08
48%
n=25
2026-08-09
100%
n=5
2026-08-10
0%
n=11
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
    31.1%
    1.6d
    9028 late
  2. New York, N.Y.
    100%
    4.1d
    2626 late
  3. Oakland, Ca
    80.8%
    3.1d
    2621 late
  4. Houston, Texas
    16.7%
    2d
    244 late
  5. Savannah, Ga.
    68.4%
    1d
    1913 late
  6. Baltimore, Md.
    44.4%
    2.6d
    188 late
  7. Norfolk, Va.
    43.8%
    2.6d
    167 late
  8. Long Beach, Ca
    33.3%
    3.5d
    124 late
  9. Los Angeles, Ca
    0%
    80 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. India
    48.7%
    2.8d
    19997 late
  2. Oman
    36.4%
    1.5d
    114 late
  3. China
    11.1%
    2d
    91 late
  4. Malaysia
    100%
    2d
    66 late
  5. Sri Lanka
    25%
    4d
    41 late
  6. Pakistan
    100%
    1d
    22 late
  7. Netherlands
    0%
    20 late
  8. Morocco
    0%
    20 late
  9. Australia
    0%
    10 late
  10. New Zealand
    0%
    10 late
  11. South Korea
    0%
    10 late
  12. Tunisia
    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 →