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International trade in goods - trade by invoicing currency (TIC) (ext_tic)

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National Reference Metadata in Single Integrated Metadata Structure (SIMS)

Compiling agency: Statistics Denmark

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International trade in goods statistics (ITGS) published by Eurostat measure the value and quantity of goods traded between the EU Member States (intra-EU trade) and goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘Goods’ means all movable property including electricity. ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation.

Trade by invoicing currency (TIC) data are part of the information available for extra-EU trade. The invoicing currency is the currency in which the commercial invoice is drawn up. Data by invoicing currency can be used for instance to explore the use of the euro in the EU’s international trade, to compare it with the role of the United States dollar (USD) or to analyse the role of the euro in the euro area and in the EU. These statistics are very useful to central banks, including the European Central Bank, for comparing the euro with other major international currencies. These data are also used by financial market segments or foreign investors.

Statistical dimensions available for TIC data:

  • reporting country;
  • partner country;
  • reference period;
  • trade flows;
  • product; and
  • currency.

13 May 2025

Reporting country – Except for some specific goods like vessels and aircraft, ITGS follow the physical movements of the goods. An import is recorded when goods enter the statistical territory and an export when goods leave that territory except if those goods are in simple transit.

Partner country – At detailed level, this is the last known country of destination for exports and the country of origin for imports. However individual partner countries are not kept in the dissemination of data by invoicing currency. They are replaced by the partner area  ‘extra-EU’.

Product – Goods are primarily classified by commodity code as set out in the EU Combined Nomenclature. TIC data are compiled on the basis of a correspondence table enabling the transposition of detailed data collected according to the Combined Nomenclature into the Standard International Trade Classification (SITC). TIC data are available by three product groups: Raw materials without oil (SITC sections 0-4, excluding division 33), Oil (SITC division 33) and Manufactured products (SITC sections 5-8). Additionally, since 2022 reference period, TIC data are available also by 10 individual SITC sections.

Currency – The invoicing currency is the currency in which the commercial invoice is drawn up. Its definition is provided by the customs legislation. The following invoicing currencies or groups of currencies are considered for data transmission to Eurostat:

Common currencies to be reported whatever the data source used:

  • Euro (‘EUR’)
  • National currency of the reporting country
  • UK pound sterling (‘GBP’)
  • US dollar (‘USD’)
  • National currencies of non-euro area Member States (‘XU3’)
  • Other not specified currencies (‘_X’)
  • Unknown currency (‘_U’)
  • Total ‘_T’

Additional invoicing currency breakdown if the data source is the customs declaration:

  • Brazilian real (‘BRL’)
  • Canadian dollar (‘CAD’)
  • Swiss franc (‘CHF’)
  • Chinese yuan renminbi (‘CNY’)
  • Indian rupee (‘INR’)
  • Japanese yen (‘JPY’)
  • South Korean won (‘KRW’)
  • Mexican peso (‘MXN’)
  • Norwegian krone (‘NOK’)
  • Russian rouble (‘RUB’)
  • Singapore dollar (‘SGD’)
  • Turkish lira (‘TRY’)
  • Ukranian Hrvynia ('UAH')
  • Georgian Lari ('GEL')
  • Albanian LEK ('ALL')
  • Iceland Krona ('ISK')
  • Serbian Dinar ('RSD')

Note on ‘unknown’ currency: Trade for which the currency is unknown is distributed over the individual currencies or groups of currencies proportionally to their relative share if it is known that such a distribution will not skew the data in a too significant extent. Otherwise, the code UNK ‘Unknown’ is used.

The set of collected currencies has been evolving over time. Initially, only 5 currencies were compiled (EUR, USD, _X, XU3 and _T). Since 2020 reference year, _U currency was added. A more thorough set of currencies has been compiled only since 2022 reference year. For the reference year 2024 five currencies were further added to the compilation (UAH, GEL, ALL, ISK, RSD).

 

The statistical unit is any natural and legal person lodging a customs declaration in Estonia on the condition that the customs procedure is of statistical relevance.

The statistical population comprise all the legal or natural persons who lodged a customs declaration with the National Customs Authority of Denmark.

Denmark

Theoretically, the reference period for the information on international trade in goods transactions should be the calendar month of export or import of the goods. However, in practice the reference period is generally the calendar month during which the customs declaration is accepted by the National Customs Authority of Denmark.

The reference years for which TIC data are disseminated result from the aggregation of monthly figures from January to December.

TIC is based on customs declarations and a full count of certain transactions related to vessels and aircraft not covered by customs delcarations. The accuracy is expected to be high.

For data transmission to Eurostat – Trade values (in national currency units) by invoicing currency. The value of traded goods is calculated at the national frontier, on a FOB (free on board) basis for exports and a CIF (cost, insurance, freight) basis for imports. Hence, only incidental expenses (freight, insurance) are included and they are incurred for:

  • exports in the part of the journey located on the territory of the country where the goods are exported from;
  • imports in the part of the journey located outside the territory of the country where the goods are imported to.

For data dissemination on Eurostat website – Share of each invoicing currency in extra-EU imports and exports.

At national level:

TIC data is compiled based mainly on customs declarations. Data are aggregated to the publication level based on correspondence tables between the CN8/Taric product codes reported in the customs declararations and the SITC codes used for TIC. Moreover, the reported currencies are aggregated to the required level. Transactions are included or excluded based on the customs procedure codes to ensure a coverage corresponding the the special trade system. 

At European level:

The share of each invoicing currency in the imports and exports of the reporting country is calculated on the basis of the transmitted trade values. Additionally, Eurostat derives TIC data for the EU and the euro area as reporting entities by aggregating the trade values reported by the Member States.

TIC data are derived from the combination of two types of information:

  • Trade in goods transactions collected via customs declarations; and
  • A special survey on transactions in vessels and aircraft not covered by customs declarations.

See item 9 ‘Frequency of dissemination’ of the related metadata ‘ext_tic - International trade in goods – trade by invoicing currency’ for more details.

See concepts 14.1.1 and 14.1.2.

The comparability across countries is ensured by the implementation of the concepts and definitions set up by the EU legislation and by the application of the complementary guidelines provided by the European business statistics compilers' manual for international trade in goods.

The introduction of more detailed currency and product breakdowns from reference period 2022 creates a data break at the most detailed level of publication. At a more aggregate level, other changes in definitions, classifications, coverage or methods will have an impact on the continuity of the time series. The most significant change came with the recent Regulation (EU) 2019/2152 on European business statistics, which is applicable from reference period 2022. However, these changes are not expected to impact the comparability of the data series in a significant way.