Port of Singapore
Port of Singapore — Daily Port Calls & Trade Volumes
The Port of Singapore is the world's premier transshipment hub and a real‑time gauge of intra‑Asia trade, global bunker demand, and the Malacca‑Strait energy corridor. 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 Southeast Asian trade, track oil and product flows, and model transshipment velocity. Explore the data via the Global Macro Pulse dashboard or pull it directly into your models through the FinzData API.
Why the Port of Singapore moves markets
Singapore sits at the crossroads of the Malacca Strait and the South China Sea, handling roughly one‑fifth of global container transshipment. Container throughput here reflects the health of intra‑Asia supply chains and the China‑ASEAN trade corridor. Tanker and product‑tanker calls track regional refining margins and bunker fuel demand — a leading indicator for crack spreads. Dry‑bulk movements signal commodity restocking across Southeast Asia. Because FinzData delivers daily granularity by vessel type, you can isolate transshipment cycles from gateway cargo and detect shifts in trade routing before they appear in aggregate statistics.
What the data shows
The ports dataset covers 2,000+ ports worldwide with daily frequency since 2019. For Singapore 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 and efficiency 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 freight futures, refining margins, and regional equity factors.
How to use it
- Track container transshipment velocity as a leading indicator for Asian export orders.
- Monitor tanker and product‑tanker calls to nowcast regional refining runs and bunker demand.
- Use average hours in port to measure terminal efficiency and congestion risk.
- Cross‑reference with FinzData Malacca Strait chokepoint transits 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 tanker port calls at Singapore for the last 60 days and how do they correlate with Singapore crack spreads?
Using FinzData, show me the trend in container transshipment volumes at Singapore since 2022 versus intra‑Asia PMI.
Using FinzData, compare average hours in port for container vessels at Singapore versus Shanghai over the last year.
Get the data
Access the full Singapore 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=Singapore or ask Claude, ChatGPT, or Grok with the FinzData connector.
Frequently asked questions
What vessel types are covered for Singapore?
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 Singapore data go?
Daily frequency since 2019, with point‑in‑time revisions preserved for backtesting.
Can I combine Singapore port data with Malacca Strait 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.