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Global Sea Ports Activity
Data Science and Analytics
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About
This dataset offers valuable insights into over 450 sea ports globally. While historically ports primarily facilitated cargo loading and unloading, their role has evolved significantly. Today, they are pivotal components of manufacturers' supply chain strategies, with their importance assessed by factors such as automation, workforce skill, market access, and berth depth. Modern supply chain operations increasingly value a port's ability to process and share data efficiently among stakeholders. Ports can be located on sea coasts, estuaries, or even far inland, accessible via rivers or canals, often referred to as inland ports or harbours.
Columns
- Index: An integer identifier for each record.
- Country: The name of the country where the port is located.
- Port Name: The specific name of the port.
- UN Code: A string representing the UN/LOCODE for the port, though some values may be missing.
- Vessels in Port: An integer indicating the number of vessels currently within the port.
- Departures(Last 24 Hours): An integer representing the number of vessels that departed the port in the last 24 hours.
- Arrivals(Last 24 Hours): An integer representing the number of vessels that arrived at the port in the last 24 hours.
- Expected Arrivals: An integer indicating the number of vessels expected to arrive.
- Type: The classification of the location, primarily 'Port' or 'Anchorage'.
- Area Local: The name of the local geographic area where the port is situated, such as 'East China Sea'.
- Area Global: The name of the broader global geographic region, such as 'UK Coast & Atlantic'.
- Also known as: A list of other names or aliases by which the port might be known.
Distribution
The dataset is provided in a CSV format, specifically 'Port_Data.csv', with a file size of 44.43 kB. It comprises 12 columns and contains 480 individual records of port data.
Usage
This dataset is ideal for:
- Analysing global supply chain dynamics and maritime logistics.
- Identifying key international shipping hubs.
- Performing exploratory data analysis on port activity and operations.
- Understanding the distribution and characteristics of sea ports worldwide.
- Researching the factors that define a 'smart port' and its role in modern trade.
Coverage
The dataset covers over 450 ports around the world, encompassing a wide range of countries and global and local geographic areas. Operational data, such as vessel arrivals and departures, reflects a 24-hour window, while the dataset itself is expected to be updated annually.
License
CC0: Public Domain
Who Can Use It
This dataset is suitable for:
- Logistics Companies: For optimising shipping routes and supply chain planning.
- Manufacturers: To inform decisions regarding global distribution networks.
- Data Analysts and Scientists: For statistical analysis, predictive modelling, and identifying trends in maritime transport.
- Researchers: Studying global trade, maritime economics, and port infrastructure.
- Government Agencies: For insights into international trade flows and port development.
Dataset Name Suggestions
- Global Sea Ports Activity
- World Maritime Port Data
- International Shipping Ports Overview
- Port Operations Statistics
- Global Harbour Data
Attributes
Original Data Source: Global Sea Ports Activity
QUALITY