Port of Shanghai

Port of Shanghai — Daily Port Calls & Trade Volumes

The Port of Shanghai is the world's busiest container gateway and a critical barometer for global manufacturing cycles, China export momentum, and trans‑Pacific freight demand. FinzData's Global Macro Pulse provides daily port calls and estimated import and export volumes by vessel type — container, dry bulk, tanker, general cargo, and roll‑on/roll‑off — since 2019, plus live ship‑tracking arrivals and average hours in port. Traders, economists, and data scientists use this series to nowcast China trade, track energy and commodity inflows, and model supply‑chain lead times. Explore the data via the Global Macro Pulse dashboard or pull it directly into your models through the FinzData API.

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Why the Port of Shanghai moves markets

Shanghai sits at the mouth of the Yangtze River, linking China's vast industrial hinterland to every major trade lane. Container throughput here leads global PMI readings by weeks; a sustained dip in box volumes often foreshadows inventory corrections in North America and Europe. Dry‑bulk and tanker arrivals signal raw‑material demand — iron ore, coal, crude — while ro‑ro calls track automotive supply chains. Because FinzData delivers daily granularity by vessel type, you can separate consumer‑goods cycles from heavy‑industry pulses and detect turning points before monthly customs prints arrive.

What the data shows

The ports dataset covers 2,000+ ports worldwide with daily frequency since 2019. For Shanghai you get: daily port calls by vessel category; estimated import and export volumes split by the same categories; live ship‑tracking arrivals with timestamps; and average hours in port — a real‑time congestion proxy. Every row is point‑in‑time: the value known on that calendar day, with revisions preserved. This lets you backtest nowcasting models without look‑ahead bias and correlate port‑level signals with equity factors, freight futures, and commodity spreads.

How to use it

  • Nowcast China export momentum by tracking container call trends versus seasonal norms.
  • Monitor dry‑bulk and tanker arrivals as leading indicators for steel, coal, and crude demand.
  • Use average hours in port to quantify congestion risk and model freight‑rate spikes.
  • Cross‑reference with FinzData chokepoint transits (Malacca, Taiwan Strait) to map full voyage economics.
  • Feed daily series into factor models, VAR nowcasts, or LSTM pipelines — all delivered on your FinzData API key.

Ask your AI

Using FinzData, what were the daily container port calls at Shanghai for the last 90 days and how do they compare to the same period in 2023?
Using FinzData, show me the trend in average hours in port for tankers at Shanghai since 2022 and flag any congestion spikes.
Using FinzData, correlate Shanghai dry‑bulk import volumes with Chinese steel PMI over the last two years.

Get the data

Access the full Shanghai port series — and every other Global Macro Pulse dataset — on your FinzData API key. Get Global Macro Pulse, $195 (one‑time, all datasets, full history). Single themes like Shipping, ports & cargo are $29; add Pulse for $145 alongside any other FinzData purchase. Every key includes the last 30 days free. Query via GET https://api.finzdata.com/v1/pulse/ports?match=Shanghai or ask Claude, ChatGPT, or Grok with the FinzData connector.

Frequently asked questions

What vessel types are covered for Shanghai?

Container, dry bulk, tanker, general cargo, and roll‑on/roll‑off — each with daily calls, estimated import/export volumes, live arrivals, and average hours in port.

How far back does the Shanghai data go?

Daily frequency since 2019, with point‑in‑time revisions preserved for backtesting.

Can I combine Shanghai port data with chokepoint transits?

Yes. The same API key gives you daily transits through Malacca, Taiwan Strait, Suez, and 25 other chokepoints, enabling full voyage analysis.

Is the data delivered in real time?

Port calls and live arrivals update daily from ship tracking; volumes are estimated daily. Each row reflects what was known that day.