Freight Data: Best Freight Datasets & Databases

What is Freight Data?

Freight data is information about the size, volume, mode, and market value of a particular commodity in the shipping industry. Freight refers to goods being transported from an area to another area. Freight data is a comprehensive list of commodities and transport vehicles gathered from the logistics sector. This information is used to improve transportation flow and management. Freight data is crucial to the shipping industry to increase efficiency.

How is Freight Data collected?

Freight data is collected through different sources. These sources include online websites, the government, shipping companies, transport and logistics firms, and transportation agencies. These sources record and organize data in the forms of graphs, charts, figures, volumes, and statistical data. Before forming accurate datasets, freight data undergoes data cleansing and filtering to avoid duplication and to eliminate unnecessary information.

What are the typical attributes of Freight Data?

Freight data has numerous attributes. Here are some typical attributes of freight data:

• Mode attributes: this refers to the mode of transport used in shipping the commodities. This comprises land, water, air, rail, pipeline, and other modes.
• Commodity attributes: this refers to types of commodities sent and the legal restrictions on these goods.
• Value attributes: this refers to the commodity categories’ price according to types and amount by state or country.
• Weight attributes: this refers to the total weight of the shipment.

What is Freight Data used for?

Freight data is used by shipping companies and management strategists. This data aids them in achieving business objectives, such as to reduce expenses or improve efficiency. Another use of freight data is to improve transportation security, economic development, and congestion mitigation. Logistics analysis can benefit from accurate freight data. Having accurate and reliable freight data saves your business time and money.

How can a user assess the quality of Freight Data?

In order for the user to assess the quality of data a provider offers, the user must first check the provider’s sources. The sources must be credible and reliable. The second way is to check its accuracy. Accurate data must be complete and free from error. Another quality of data is its timeliness. The data must be real-time or updated frequently to avoid irrelevant information. Furthermore, users can read online reviews about the data providers to ensure their effectiveness and efficiency. Users can also ask for sample data to see if it fits their needs.   

Where can I buy Freight Data?

Data providers and vendors listed on Datarade sell Freight Data products and samples. Popular Freight Data products and datasets available on our platform are 220 Countries Global Trade Data, Customs Data, Bill of Lading Data, Import and Export Data by Market Inside Data, Transport/Logistics and Container Tracking Datasets | Grepsr by Grepsr, and Alqami Airport Landing Slot Data UK, Canada, New Zealand | Passenger & Freight with 25 years history by Alqami.

How can I get Freight Data?

You can get Freight Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Freight Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Freight Data APIs, feeds and streams to download the most up-to-date intelligence.

What are similar data types to Freight Data?

Freight Data is similar to Traffic Data, Aviation Data, Road Data, Trade Data, and Maritime Data. These data categories are commonly used for Supply Chain Monitoring and Traffic Analysis.

What are the most common use cases for Freight Data?

The top use cases for Freight Data are Supply Chain Monitoring, Traffic Analysis, and Vessel Tracking.