The Atlas of Economic Complexity maintains trade data in multiple international classification systems. This data set contains trade flows classified via Harmonized System (HS) 1992. HS data offers a contemporary and detailed classification of goods, but covers a relatively short time period: Categorizes approximately 5,000 goods Covers years from 1995–2021 Categories break down to 1-, 2-, 4-, or 6-digit detail levels (though country reporting can be less reliable at the 6-digit level) Raw data on trade in goods is provided by United Nations Statistical Division (COMTRADE). The data is then cleaned by Growth Lab researchers using the Bustos-Yildirim Method which uses bilateral trade flows to account for inconsistent reporting and provides more reliable accounting. In addition to trade in goods, the data additionally contains unilateral data on services trade provided by the International Monetary Fund (IMF) and acquired through the World Development Indicators (WDI) of The World Bank. For further information, see the data information page on the Atlas website.

The main objective of the trade in goods statistics by enterprise characteristics (TEC) is to bridge two major statistical domains which have traditionally been compiled and used separately, business statistics and international trade in goods statistics (ITGS). Specifically, this new domain was created to answer questions such as:

• What kind of businesses are behind the trade flows of goods?
• What is the contribution of a particular activity sector to trade?
• What is the share of small and medium-sized enterprises to total trade?
• What is the share of enterprises that trade with a certain partner country and the amount of trade value they account for?

For this purpose, the trade in goods between countries is broken down by economic activity, size-class of enterprises, trade concentration, geographical diversification and products traded. The new information is used to carry out more sophisticated kinds of analysis, e.g. to evaluate the role of European companies in the context of globalisation or to assess the impact of international trade in goods on employment, production and value added, essential in a globalised world where economies are increasingly interconnected.

Available datasets

TEC data are grouped into ten datasets, each one focusing on a specific aspect:

1. Trade by activity sector and enterprise size class — Trade by activity sector and employment size class shows the contributions of economic activities and size classes (measured in terms of number of employees until 2021 and in term of number of employees and self-employed from 2022 reference year) to total trade. This allows the impact of international trade on employment to be analysed and the importance of small and medium-size enterprises (SMEs) to be estimated.

2. Concentration of trade by activity — International trade being typically dominated by a few businesses, this indicator shows the share of the total trade accounted for by the top 5, 10, 20, etc. companies.

3. Trade by partner country and activity — Trade by partner country shows how many companies were trading with certain partner countries or country zones, and the value they accounted for. This indicator enables the most typical export or import markets to be identified.

4. Trade by number of partner countries and activity — Trade by number of partner countries shows how geographically diversified the export markets are. For imports, it shows the number of countries from which goods are imported.

5. Trade by commodity and activity — Trade by commodity and activity sector allocates the trade of each commodity to the activity of the trading enterprise. This indicator shows which sectors were involved in the trading of each product group.

6. Trade by type of trader — This indicator provides information on how traders are involved in international trade. It shows the number of companies trading within only one flow or in both flows and the trade value these companies account for.

7. Trade by type of ownership — The type of ownership is referring to the concept of control and to affiliation of an enterprise. It indicates whether an enterprise is domestically or foreign controlled and, if domestically controlled, whether it has affiliates abroad or not. This indicator can be used to analyse the impact of globalisation on international trade and to estimate the importance of multinational companies for trade.

8. Trade by export intensity — Export intensity categorises enterprises according to the importance of foreign markets in their sales. It refers to the share of exports in total turnover.

9. Trade by activity sector — In comparison with trade by activity and enterprise size class (first dataset), this indicator provides more details on the activity sector (2- or 3-digit level) but does not contain information about the enterprise size.

10. Trade by partner country and size class — This indicator aims to give insights into the internationalisation of small- and medium sized enterprises. It complements indicator 3 on trade by partner country and activity by applying the same detailed breakdown of partner countries but categorising enterprises by size class instead of activity sector.

Sweden export data: Discover how this Nordic powerhouse fuels economy via machinery, vehicles, pharmaceuticals, and paper exports.

Go Green International Trade Comp Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Jordan import data: Discover how diversified trade, sustainable development and strategic partnerships fuel its emerging economy.

Global trade data of 21 under 350610, 350610 global trade data, trade data of 21 from 80+ Countries.

Global trade data of 10 under 84703000, 84703000 global trade data, trade data of 10 from 80+ Countries.

Syria import data: A peek into the challenge-filled pathway of an economy seeking revitalization amidst adversity. Explore Syria's brave new endeavors.

Global trade data of 1000 under 3004100000, 3004100000 global trade data, trade data of 1000 from 80+ Countries.

Global trade data of 64 under 94029090, 94029090 global trade data, trade data of 64 from 80+ Countries.

Global trade data of 30 under 190410, 190410 global trade data, trade data of 30 from 80+ Countries.

Global trade data of D under 020422, 020422 global trade data, trade data of D from 80+ Countries.

Global trade data of The under 76121000, 76121000 global trade data, trade data of The from 80+ Countries.

Global trade data of 72 under 9021400000, 9021400000 global trade data, trade data of 72 from 80+ Countries.

Global trade data of United states under 843820, 843820 global trade data, trade data of United states from 80+ Countries.

Global trade data of 10 under 6202900000, 6202900000 global trade data, trade data of 10 from 80+ Countries.

Global trade data of 72 under 68010000, 68010000 global trade data, trade data of 72 from 80+ Countries.

Global trade data of 30 under 5516140000, 5516140000 global trade data, trade data of 30 from 80+ Countries.

Global trade data of All under 82081000, 82081000 global trade data, trade data of All from 80+ Countries.

Global trade data of Export under 3814009000, 3814009000 global trade data, trade data of Export from 80+ Countries.