Key facts for Agriculture - Facilities/Physical Assets
Coverage metric
Geography:
North America, Asia / Pacific, EMEA, Latin America and the Caribbean
History:
From 2002
Delivery metadata
Data Frequency
Continuous
Language
English
Delivery methods:
Excel, Deployed/Onsite Servers, API, Web Service, SFTP, Cloud, Desktop, FTP, Bulk, Snowflake, Website, RSS Feed
Data formats:
PDF, GZIP, XML, JSON, CSV, SQL, Text, Python, HTML, Bitmap, MPEG, User Interface, PCAP
Minimum service frequency
Continuous
Overview of Agriculture - Facilities/Physical Assets
SUPPORT TRADING AND LOGISTICS
Navigate physical supply chains
• Assess delivery feasibility and warehouse eligibility.
• Understand transport route dependencies across supply chains.
• Support trading, logistics, settlement and compliance workflows.
STANDARDISED ASSET DATA
Connected agriculture asset intelligence
• Uses governed data elements and unique identifiers.
• Applies PermID-aligned references and structured metadata.
• Uses multilingual names and classifications to improve search, integration and reporting.
AGRICULTURE PHYSICAL ASSET DATA
Understand agriculture infrastructure
• Access storage, warehouse and delivery location data.
• Explore logistics hubs and approved transport routes.
• Understand physical infrastructure supporting agricultural commodity movement.
Description of the dataset
- LSEG curates agriculture facilities and physical asset information to help customers understand the infrastructure behind global commodity movement. We cover operational reference points such as storage capacity, certified warehouses, delivery locations, logistics hubs and approved transport routes where available.
- Our agriculture asset coverage supports trading, logistics, settlement and compliance workflows by connecting physical infrastructure with commodity market operations. LSEG helps customers assess delivery feasibility, warehouse eligibility and route dependencies across agricultural supply chains.
- We standardise facility-related records using governed business data elements, dimension identifiers, dimension names, element identifiers, element descriptions, short names and abbreviations. Our use of PermID-aligned references, source attributes and unique identifiers supports consistent linking across commodity, reference and enterprise systems.
- LSEG enriches the data model with multilingual naming structures, name types and group classifications to improve search, integration and downstream reporting. We apply structured metadata so customers can align agriculture facilities data with trading calendars, settlement processes and physical market analysis.
Accessing the dataset
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