Keep updated
Get in touch
Entity categorisation decisions by the OpenSanctions team.
The annotations dataset consists of detail added by the OpenSanctions team to improve on the data from our other sources with detail from our knowledge and desktop research. This includes e.g. that a position like "Advisor to the president of Russia" is a PEP with national government level of influence, while "President of the water polo club" might also be a position included in an investigative database, but should not be considered a PEP in our dataset.
This dataset contains entities from a larger database that is used to enrich the data in OpenSanctions with additional details and connections. We only include entities from the source where there is a relevant connection to the entities in the main OpenSanctions database (e.g. to a sanctions target or a politician).
| Entities: |
| ||||
|---|---|---|---|---|---|
| Entity types: |
| ||||
| Publisher: | OpenSanctions non-official source OpenSanctions is the company behind the OpenSanctions database of persons and companies of political, criminal, or economic interest. | ||||
| Collections: | in OpenSanctions Default · Politically Exposed Persons (PEPs) | ||||
| Information: | opensanctions.org | ||||
| Coverage: | added · update frequency: daily | ||||
| Last processed: | 2024-11-20 13:37:02 | ||||
| Last change: |
You can query the data in this dataset via the application programming interface (API) endpoints below. Please read the introduction for documentation and terms of service.
| Use the Reconciliation API in OpenRefine: | |
For full-text search, use the /search endpoint: | |
For entity matching, use the /match endpoint: |
OpenSanctions is free for non-commercial users. Businesses must acquire a data license to use the dataset.