Container Port Congestion Index

Global port congestion data and insights

Download report

Global Port Congestion

Port
May 24
Jun 24
+/-
%
Durban
6.9
9.8
+2.9
+42%
Ningbo-Zhoushan
8.7
6.5
-2.2
-25%
Charleston
3.3
5.0
+1.7
+50%
Chittagong
3.6
4.1
+0.4
+12%
Download all
Data shown in days

Asian Port Congestion

Port
May 24
Jun 24
+/-
%
Ningbo-Zhoushan
8.7
6.5
-2.2
-25%
Chittagong
3.6
4.1
+0.4
+12%
Manila
2.9
2.9
+0.1
+3%
Port Kelang
1.2
2.1
+0.9
+71%
Download all
Data shown in days

European Port Congestion

Port
May 24
Jun 24
+/-
%
Antwerp
1.6
2.0
+0.4
+25%
Felixstowe
1.8
1.9
+0.1
+7%
Rotterdam
1.9
1.9
0
-1%
Marsaxlokk
1.9
1.8
-0.1
-4%
Download all
Data shown in days

North American Port Congestion

Port
May 24
Jun 24
+/-
%
Charleston
3.3
5.0
+1.7
+50%
Los Angeles
3.3
3.7
+0.4
+12%
Long Beach
3.1
3.5
+0.3
+11%
Vancouver
3.6
2.8
-0.9
-25%
Download all
Data shown in days

Port Congestion FAQs

What is container port congestion?

Container port congestion occurs when a port's cargo and vessel handling capacity is exceeded, leading to delays in vessel berthing, loading, unloading, and processing containers. This can disrupt supply chains and increase shipping times and costs.

What causes port congestion?

Port congestion can be caused by a variety of factors, including high cargo volumes, labor shortages, equipment failures, vessel bunching, adverse weather conditions, and disruptions in inland transportation. Global events, such as pandemics or geopolitical tensions, can also significantly impact port operations.

How is port congestion calculated in this report?

The port congestion data published here is calculated by combining average vessel anchor and berth times at nearly 100 of the worlds busiest container ports. Other metrics like the number of vessels in port or average container dwell times are also indicators of port congestion.

Are specific ports more prone to congestion than others?

Yes, some ports are more prone to congestion due to their high traffic volumes, strategic importance, or limited infrastructure. The Ports of Los Angeles, Long Beach, Vancouver and Ningbo-Zhoushan are all examples of systemically congested ports.

How can port congestion statistics help in supply chain planning?

By analyzing congestion statistics, supply chain planners can identify ports that are currently experiencing delays and adjust their logistics strategies accordingly. This might include rerouting shipments, selecting alternative ports, augmenting order timelines or adjusting delivery schedules to avoid congested areas.

How frequently are congestion statistics updated?

The congestion data available on this page is published during the first week of each month. Subscribers receive the latest report directly in their inboxes.