The Trade by Enterprise Characteristics (TEC) database contains international annual trade data broken down in different categories of enterprises. Its aim is to provide a solid basis for analysts who explore, in the context of globalisation, the characteristics of trade actors.
Bibliographic citation:
Organisation for Economic Co-operation and Development: Measuring Globalisation Statistics (Data downloaded: 18th-24th Nov 2015). UK Data Service. http://dx.doi.org/10.5257/oecd/glob/2015
Yearly
TEC data are collected in co-operation with Eurostat, directly from the National Statistical Offices, through a linkage exercise between trade and business registers.
2nd February 2016
Annual
US Dollars
TEC by Commodity Groups
This dataset shows import and export values (in millions of USD) using product classification at 2-digit level of CPA classification.
The central issue of trade by enterprise characteristics is to disaggregate trade flows according the characteristics of the enterprises engaged in cross-border transactions. The feasibility of doing so largely depends on the possibility of using or developing common identifiers between the trade register and the business register. Countries differ in their ability to perform such a linking, and matching ratios (between business and trade registers) vary across countries, and as a consequence the degree of representativeness of the results also varies across countries.
EU countries break down trade data into Intra- and extra- EU zones, whereas non EU countries report their Total trade. Trade values have been aggregated for EU countries and Total (Intra-EU plus Extra-EU) trade flows are displayed, whereas Intra and Extra-EU data expressed in term of number of enterprises cannot be summed up, because of possible double-counting (same enterprise can be trader in both intra- and extra- EU trade). Data have been collected in ISIC revision 3 from 2003 up to 2007 and in ISIC revision 4 as from reference year 2008. Time series are affected by this change in classification, and thus data are displayed into two separate databases.
The Trade by Enterprise Characteristics (TEC) database contains international annual trade data broken down in different categories of enterprises. Its aim is to provide a solid basis for analysts who explore, in the context of globalisation, the characteristics of trade actors.
TEC data are collected in co-operation with Eurostat, directly from the National Statistical Offices, through a linkage exercise between trade and business registers.
Bibliographic citation:
Organisation for Economic Co-operation and Development: Measuring Globalisation Statistics (Data downloaded: 18th-24th Nov 2015). UK Data Service. http://dx.doi.org/10.5257/oecd/glob/2015
Yearly
US Dollars
TEC by Commodity Groups
This dataset shows import and export values (in millions of USD) using product classification at 2-digit level of CPA classification.
Annual
2nd February 2016
The central issue of trade by enterprise characteristics is to disaggregate trade flows according the characteristics of the enterprises engaged in cross-border transactions. The feasibility of doing so largely depends on the possibility of using or developing common identifiers between the trade register and the business register. Countries differ in their ability to perform such a linking, and matching ratios (between business and trade registers) vary across countries, and as a consequence the degree of representativeness of the results also varies across countries.
EU countries break down trade data into Intra- and extra- EU zones, whereas non EU countries report their Total trade. Trade values have been aggregated for EU countries and Total (Intra-EU plus Extra-EU) trade flows are displayed, whereas Intra and Extra-EU data expressed in term of number of enterprises cannot be summed up, because of possible double-counting (same enterprise can be trader in both intra- and extra- EU trade). Data have been collected in ISIC revision 3 from 2003 up to 2007 and in ISIC revision 4 as from reference year 2008. Time series are affected by this change in classification, and thus data are displayed into two separate databases.