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The China Containerized Freight Index (CCFI) is a powerful indicator of container shipping rates from China’s major ports to global destinations.
By studying China containerized freight index historical data, importers and exporters gain crucial insights into freight rate movements, trade demand, and logistics planning.

However, with constant market fluctuations, analyzing past CCFI trends is more important than ever. This guide explains how historical CCFI data reveals market cycles, supports pricing strategies, and helps businesses make informed logistics decisions.

At Top China Forwarder, we track CCFI values weekly to help clients forecast shipping costs and choose optimal transport times.

What Is the China Containerized Freight Index?

The CCFI measures weekly fluctuations in export container freight rates from China’s coastal ports to key global routes.
It was launched in 1998 by the Shanghai Shipping Exchange (SSE), using 1,000 as the base index value.

When the index rises above 1,000, rates are higher than the 1998 baseline; when it falls below, rates are lower.
This simple metric now serves as a global benchmark for understanding container freight pricing dynamics.

Why Historical Data Matters for Businesses

Historical CCFI data helps companies identify patterns, forecast demand, and manage cost exposure.
For example:

  • Importers use trends to schedule shipments before rate hikes.
  • Exporters plan inventory around low-cost windows.
  • Freight forwarders benchmark pricing accuracy against long-term averages.

Therefore, understanding the China containerized freight index historical data allows businesses to turn raw numbers into actionable supply-chain strategies.

How the CCFI Is Calculated

The Shanghai Shipping Exchange gathers actual transaction data from over 20 major carriers.
Rates are averaged and weighted according to each route’s export volume.

StepProcess Description
1️⃣Shipping companies submit contract + spot rate data weekly
2️⃣SSE verifies and averages route rates
3️⃣Weighted by trade lane importance (e.g., Europe, U.S.)
4️⃣Finalized index published every Friday

This transparency ensures reliability across both short-term and long-term freight markets.

china containerized freight index historical data

Key Components of the Historical Dataset

ComponentDescription
Time Range1998–Present
FrequencyWeekly
Data FormatIndexed (base 1,000)
Coverage12 global trade routes
Sources>20 major shipping lines
Use CasePricing benchmark, forecasting, market comparison

The CCFI historical dataset is a vital tool for shipping analysts, traders, and freight professionals worldwide.

Analyzing China Containerized Freight Index Historical Data (2019–2025)

Let’s examine historical CCFI performance to understand market behavior.

YearAverage Index ValueMarket Summary
2019865Stable demand; trade tensions limit growth
20201,145Pandemic-driven capacity shortages lift rates
20212,300Logistics crisis peaks amid global congestion
20221,620Normalization begins; demand softens
20231,050Overcapacity pushes rates downward
20241,115Gradual recovery driven by e-commerce
2025 (Q1)1,085Moderate stability with seasonal variations

As seen above, freight rates surged during the pandemic but gradually normalized by 2024. These shifts reflect the cyclical nature of global shipping.

china containerized freight index historical data

Comparing CCFI vs. SCFI Historical Data

IndexData ScopeRate TypeFocus
CCFIAll Chinese coastal portsContract + SpotLong-term trends
SCFIShanghai port onlySpotShort-term rates

The China Containerized Freight Index (CCFI) provides a broad, balanced perspective, while the Shanghai Containerized Freight Index (SCFI) tracks immediate market reactions.

Major Trade Lanes in Historical Records

Each trade lane affects the CCFI differently.

RouteWeight (%)Typical Trend (2019–2025)
China–Europe20Peak 2021; stable since 2023
China–US West Coast15Sharp fall post-2022
China–US East Coast10Gradual normalization
China–Mediterranean8Resilient growth 2024–2025
China–Southeast Asia7Consistent stability
China–Australia5Mild volatility
Others35Mixed seasonal trends

By analyzing these segments, shippers can forecast pricing differences between destinations.

china containerized freight index historical data

How to Use CCFI Historical Data for Forecasting

Studying China containerized freight index historical data helps businesses:

  1. Identify Rate Cycles: Recognize seasonal or yearly surges.
  2. Negotiate Better Contracts: Base discussions on factual benchmarks.
  3. Plan Capacity Efficiently: Adjust order timing to low-rate seasons.
  4. Predict Global Trade Trends: Understand export demand correlations.

At Top China Forwarder, we combine CCFI trends with real-time market updates to advise clients when to book containers at the most cost-effective times.

Where to Access China Containerized Freight Index Historical Data

Reliable data sources include:

  • Shanghai Shipping Exchange (Official Website) – offers weekly downloads.
  • Top China Forwarder Reports – simplified analysis tailored for clients.
  • Industry Databases – e.g., Drewry, Freightos, Xeneta for premium charts.

These platforms allow users to visualize freight rate evolution across decades.

Interpreting Historical CCFI Movements

When examining trends, note three core drivers:

  1. Global Demand: Export volume rises push the index upward.
  2. Capacity Availability: New ship deliveries or blank sailings affect rates.
  3. Fuel and Port Costs: Changes in bunker prices and surcharges influence fluctuations.

Thus, historical data doesn’t just show numbers—it tells a story of trade dynamics and logistics evolution.

Practical Example: Using Historical Data for Cost Strategy

Suppose you plan to ship 1,000 TEUs annually from China to Europe.
By comparing historical CCFI data, you can identify when rates typically dip (e.g., Q1 and Q4) and adjust shipment schedules accordingly.

As a result, importers can save up to 10–15% annually by timing freight procurement strategically.

That’s exactly how Top China Forwarder supports clients through real-time insights and forecasting tools.

The Broader Impact on Global Shipping

Historical CCFI data provides valuable context for supply-chain decisions:

  • Manufacturers plan production schedules based on freight trends.
  • Retailers align inventory with global logistics cycles.
  • Investors use it to evaluate transport company performance.

Ultimately, the index connects financial, logistical, and operational planning into one measurable system.

Conclusion

The China containerized freight index historical data provides invaluable insight into the evolution of global shipping.
By studying its long-term movements, logistics professionals can anticipate costs, identify seasonal cycles, and negotiate smarter freight agreements.

In a complex and rapidly changing trade environment, knowledge truly means savings.
Trust Top China Forwarder to transform data into strategy — ensuring your shipments move efficiently, competitively, and on schedule.

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 Frequently Asked Questions (FAQ)

How far back does CCFI historical data go?

Records date back to 1998, covering over 25 years of container freight rate trends.

While not exact, it reveals rate cycles that guide better forecasting decisions.

Charts and graphs are available on the Shanghai Shipping Exchange and industry portals.

It’s published every Friday to reflect the latest freight rate averages.

Sudden rate shifts often result from capacity shortages, seasonal demand, or fuel surcharges.

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