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International trade and balance of payments statistics

Measuring Multinational Enterprises

 

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.

Analytical Database on Individual Multinationals and Affiliates (ADIMA), Connections discovered for Pfizer Analytical Database on Individual Multinationals and Affiliates (ADIMA), Connections discovered for Daimler

Data Partners

ABRAMS world trade wiki ‌ ‌

Working together with ABRAMS world trade wiki to combine their company level view of global trade with ADIMA’s view of MNEs.

  OpenCorporates

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 

 

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