Transit times / Riviana Foods Inc

Riviana Foods Inc

88 ocean import shipments. Delayed 24.4 points more often than the dataset average of 43.8%.

88
Shipments
68.2%
Arrived late
60 shipments
3.7 days
Average delay, when late
median 3 days
9 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
10.2%
Early
19
21.6%
On time
42
47.7%
1–3 days
14
15.9%
4–7 days
4
4.5%
8–14 days
0
0%
15+ days

By carrier

All 8 carriers used.

% delayed avg days late, when laten = shipments
  1. MSC
    69.3%
    3.3d
    7552 late
  2. AUIV
    100%
    4d
    44 late
  3. ITLN
    100%
    8d
    33 late
  4. Hapag Lloyd
    0%
    20 late
  5. ONE
    0%
    10 late
  6. FFPV
    100%
    9d
    11 late
  7. NCSW
    0%
    10 late
  8. Maersk
    0%
    10 late

By route

Top 12 of 30 lanes; 20 shipments across the remaining 18 not shown.

% delayed avg days late, when laten = shipments
  1. Sines > Baltimore, Md.
    84.6%
    3d
    1311 late
  2. Ning Bo > Jacksonville, Fla.
    45.5%
    1d
    115 late
  3. Laem Chabang > Long Beach, Ca
    100%
    3d
    1111 late
  4. Valencia > Baltimore, Md.
    100%
    3d
    77 late
  5. Sines > Pt. Everglades, Florida
    100%
    7d
    66 late
  6. Mundra > Houston, Texas
    0%
    50 late
  7. Callao > Oakland, Ca
    100%
    4d
    44 late
  8. Mundra > Jacksonville, Fla.
    100%
    8d
    33 late
  9. Buenos Aires > Houston, Texas
    0%
    20 late
  10. Malaga > Baltimore, Md.
    0%
    20 late
  11. Sines > Miami, Florida
    0%
    20 late
  12. Ning Bo > Long Beach, Ca
    100%
    5d
    22 late

By supplier

Top 12 of 13 suppliers; 1 shipments across the remaining 1 not shown.

% delayed avg days late, when laten = shipments
  1. Herba Ricemills Slu
    77.1%
    4d
    3527 late
  2. Herba Bangkok Sociedad Limitada Hea
    76.9%
    2.5d
    2620 late
  3. Ebro India Private Limited
    54.5%
    6.2d
    116 late
  4. Quality Supplier Sac
    100%
    4d
    44 late
  5. La Loma Alimentos S A
    0%
    30 late
  6. Ebro Ingredients B V
    0%
    20 late
  7. Highland Foods S A C
    0%
    10 late
  8. Lan Handling Technologies
    100%
    9d
    11 late
  9. Geovita Functional Ingredients S R
    100%
    2d
    11 late
  10. Campo Andino Peru Sac
    0%
    10 late
  11. Agro Fergi Sac
    0%
    10 late
  12. Herba Cambodia Co Ltd
    100%
    1d
    11 late

By vessel

Vessel names are in the most recent data only — 88 of 88 shipments (100%) name one, across 28 ships. This chart covers that subset, not the whole.

% delayed avg days late, when laten = shipments
  1. Msc Candice
    100%
    3d
    1717 late
  2. Msc Vandya
    100%
    7d
    66 late
  3. Msc La Spezia
    100%
    3d
    66 late
  4. Zim Gemini
    0%
    60 late
  5. Jade I
    100%
    1d
    55 late
  6. Msc Ilaria
    100%
    3d
    55 late
  7. Msc Uberty Viii
    0%
    40 late
  8. Msc Suape Vii
    0%
    30 late
  9. One Marvel
    100%
    8d
    33 late
  10. Msc Hortense
    0%
    30 late
  11. Msc Sydney Vi
    0%
    30 late
  12. Le Havre Express
    0%
    20 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=3
2026-07-27
0%
n=9
2026-07-28
100%
n=2
2026-07-29
100%
n=6
2026-07-30
66.7%
n=6
2026-08-01
100%
n=2
2026-08-02
50%
n=4
2026-08-03
91.7%
n=24
2026-08-04
100%
n=7
2026-08-06
100%
n=2
2026-08-07
62.5%
n=8
2026-08-08
0%
n=2
2026-08-09
63.6%
n=11
2026-08-10
50%
n=2
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. Baltimore, Md.
    84.6%
    3.1d
    2622 late
  2. Jacksonville, Fla.
    57.1%
    3.6d
    148 late
  3. Houston, Texas
    23.1%
    1.3d
    133 late
  4. Long Beach, Ca
    100%
    3.3d
    1313 late
  5. Pt. Everglades, Florida
    85.7%
    7d
    76 late
  6. Oakland, Ca
    100%
    3.7d
    66 late
  7. Los Angeles, Ca
    0%
    30 late
  8. Miami, Florida
    0%
    20 late
  9. New Orleans, La.
    0%
    20 late
  10. Charleston, S.C.
    100%
    9d
    11 late
  11. Newark, Nj
    100%
    5d
    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. Spain
    75%
    4d
    3627 late
  2. Thailand
    76.9%
    2.5d
    2620 late
  3. India
    54.5%
    6.2d
    116 late
  4. Peru
    66.7%
    4d
    64 late
  5. Argentina
    0%
    30 late
  6. Netherlands
    50%
    9d
    21 late
  7. Italy
    100%
    2d
    11 late
  8. Norway
    0%
    10 late
  9. Cambodia
    100%
    1d
    11 late
  10. Belgium
    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 →