October 2021 - Understanding where Multinational Enterprises (MNEs) are, how they operate, and where they pay taxes is crucial for sound policy making and sound macro-economic statistics. However, surprisingly little official statistics are currently available on individual MNEs.

To fill this gap the OECD has begun to develop a new database – the Analytical Database on Individual Multinationals and Affiliates (ADIMA) – using a number of open big data sources that can provide new insights on individual MNEs and their global profiles.  

 

Finding the ADIMA data 

ADIMA includes 500 of the world’s largest MNEs each downloadable here:

Download new data for financial year 2020

> Physical Register: Providing a comprehensive view of each MNE and its subsidiaries
> Digital Register: Providing a view of all websites belonging to each MNE
> Indicators: Harmonised indicators at the global level for each MNE

Previous years

Financial year 2019

> Physical Register: Providing a comprehensive view of each MNE and its subsidiaries
> Digital Register: Providing a view of all websites belonging to each MNE
> Indicators: Harmonised indicators at the global level for each MNE

Financial year 2018

> Physical Register: Providing a comprehensive view of each MNE and its subsidiaries
> Digital Register: Providing a view of all websites belonging to each MNE
> Indicators: Harmonised indicators at the global level for each MNE 

 

Visualising ADIMA

Connections discovered for two individual MNEs

Each dot in the graphic represents an identifier for the MNE and its affiliates, with different colours representing different sources. Relationships are represented by the connecting lines.

Data Partners

‌ ‌	Working together with ABRAMS world trade wiki to combine their company level view of global trade with ADIMA’s view of MNEs.
	Working together to supplement ADIMA’s physical register with additional data and providing ADIMAs view on MNE groupings to OpenCorporates users.

Data providers

CommonCrawl CorpWatch Crunchbase GDELT Geonames GLEIF Google Trends OpenOwnership

OpenStreetMap PeopleDataLabs PermID Rapid7 Tranco WebDataCommons WikiData Wikipedia

Further reading

> Methodology: How to construct a global business register? 
> What big data can tell us about women on boards 
> Statistical Insights: the ADIMA database on Multinational Enterprises
> Women in senior management roles at energy firms remains stubbornly low, but efforts to improve gender diversity are moving apace

 

 

Contact

We welcome proposals for other extensions, collaboration and applications using ADIMA but also feedback on the current database. Contact us