A concatenated data file of all entities which have been issued Legal Entity Identifier (LEI) codes.
Legal Entity Identifiers (LEIs) are global company identification numbers. They are meant to be used in international transactions in the future, backed by an ISO-developed standard.
The GLEIF group assembles a database of all entities which have been issued an LEI and is published as open data on the web.
In order to match GLEIF data with OpenSanctions, we've converted the full GLEIF database to the FollowTheMoney data format used by our system. You can download the raw data and use it in full (updated daily).
| Entity count: | 2,607 searchable entities · 3,810 total | ||||
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| Publisher: | Global Legal Entity Identifier Foundation (GLEIF) non-official source Established by the Financial Stability Board in June 2014, the Global Legal Entity Identifier Foundation (GLEIF) is tasked to support the implementation and use of the Legal Entity Identifier (LEI). The foundation is backed and overseen by the Regulatory Oversight Committee, representing public authorities from around the globe that have come together to jointly drive forward transparency within the global financial markets. GLEIF is a supra-national not-for-profit organization headquartered in Basel, Switzerland. | ||||
| Information: | www.gleif.org | ||||
| Collections: | in OpenSanctions Default | ||||
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Legal Entity Identifier (LEI) Reference Data is an external database that is used to enrich the data in OpenSanctions with additional details and connections.
This means that we have only included entities where there is a connection (e.g. to a sanctions target or a politician) and we are not reproducing the database in full.
Data from Legal Entity Identifier (LEI) Reference Data is included in the collections listed above. However, since the enrichment data only makes sense in conjunction with the entities it relates to, we are not offering it for bulk download separately.
OpenSanctions is free for non-commercial users. Businesses must acquire a data license to use the dataset.
