Portcast Insights | June 2026
Data-driven intelligence on port congestion, transit times & supply chain risks.
Welcome to the updated Portcast newsletter.
You may have noticed that this edition looks different. Alongside latest updates from Portcast, our newsletter will now deliver data, insights, and trends to support better-informed decisions across your supply chain. In this issue, you'll find the latest port congestion trends and transit time performance across major trade lanes.
We'll continue to enhance this newsletter over time, bringing more actionable data and insights directly to your inbox. As we continue to evolve it, please share any feedback with us by replying to this email.
Latest News from Portcast
|
Introducing Portcast's Cost Management
You can now connect your shipment data to your contracts and invoices, so freight gets managed, not just reconciled. Get live cost monitoring, cost analytics, freight audit, and allocation insights. Learn More →
|
|
Recognized In Gartner's Market Guide
Portcast has been listed as a representative vendor in the 2026 Gartner Market Guide for Logistics Network Visibility Solutions. Learn More →
|
|
The Freight Forwarder's Guide to Protecting Margins
We have published an in-depth guide that examines the operational and financial challenges that shape profitability in modern freight forwarding operations. Read Guide →
|
Key Global Ports: Current Congestion Status
This table highlights congestion levels across key container ports based on vessel waiting activity observed during the previous week (June 14-20).
Port congestion remains one of the strongest leading indicators of potential shipment delays. Monitoring congestion trends helps logistics teams anticipate disruptions before they impact delivery performance and costs.
| Port |
Congestion Status |
Avg Vessels Waiting / Day |
Median Vessel Waiting Time |
Week-over-Week Change |
|
Jebel Ali
United Arab Emirates
|
● Medium |
3 |
1.6d |
▼ 5.2d |
|
Shanghai
China
|
● Low |
77 |
0.9d |
▼ 0.7d |
|
Qingdao
China
|
● Low |
30 |
0.8d |
▼ 0.2d |
|
Busan
Korea
|
● Low |
25 |
0.4d |
▲ 0.2d |
|
Antwerp
Belgium
|
● Low |
14 |
0.3d |
▲ 0.1d |
|
Nhava Sheva
India
|
● Low |
3 |
0.1d |
▼ 0.1d |
|
Singapore
Singapore
|
● Low |
19 |
0.1d |
▲ 0.04d |
|
Los Angeles
United States Of America
|
● Low |
0 |
0.1d |
▼ 0.02d |
|
Hamburg
Germany
|
● Low |
9 |
0.04d |
— 0.0d |
|
Rotterdam
Netherlands
|
● Low |
16 |
0.04d |
▼ 0.04d |
Data period: Previous week (June 14-20).
Congestion Status: Current congestion level. | Avg Vessels Waiting/Day: Average number of vessels awaiting berth allocation. | Median Vessel Waiting Time: Typical waiting time before entering the port. | Week-over-Week Change: Change in median waiting time compared to the week before.
Congestion Status is based primarily on median vessel waiting time before entering the port. Avg Vessels Waiting/Day and week-over-week changes provide additional context and may act as leading indicators of emerging congestion, helping logistics teams identify ports where delays could increase in the coming weeks.
To monitor congestion across the ports that matter most to your business, check the link below.
Transit Time Trends Across Key Trade Lanes
Ocean transit time is the duration required for cargo to travel by sea from its origin to its destination. The table below highlights trade lanes showing the largest difference between planned and actual transit times.
| Trade Lane |
Avg Delay vs Planned |
Carrier Schedule Reliability |
Transit Time Change Vs Previous 3 Months |
|
Asia (China/Korea/Japan) → North/West Europe
|
▲ 5.7d |
43.7%
|
▲ 2.2% |
|
SEA → North America
|
▲ 3.6d |
56.2%
|
▲ 10.5% |
|
Oceania → China/Korea/Japan
|
▲ 3.3d |
59.3%
|
▼ 2.5% |
|
SEA → SEA
|
▲ 2.7d |
67.8%
|
▼ 0.1% |
|
Asia (China/Korea/Japan) → North America
|
▲ 2.7d |
72.1%
|
▲ 3.2% |
|
SEA → China/Korea/Japan
|
▲ 2.3d |
67.2%
|
▼ 0.6% |
Data period: Rolling last 3 months compared against the preceding 3-month period.
Avg Delay vs Planned: Difference between actual and planned transit times. | Carrier Schedule Reliability: Percentage of shipments arriving within the expected transit time window. | Transit Time Change vs Previous 3 Months: Change in transit time performance compared to the preceding three-month period. Transit time calculations are based on actual containers tracked on the Portcast platform.
© Portcast | All rights reserved