Mexico

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables:labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases);capital input (e.g. Material investments) All SBS characteristics are published on Eurostat?s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section).  

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards. SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables:labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases);capital input (e.g. Material investments) All SBS characteristics are published on Eurostat?s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section).  

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards. SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables:labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases);capital input (e.g. Material investments) All SBS characteristics are published on Eurostat?s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section).  

The International trade balance indicator is the difference between exports and imports of goods. Exports of goods record flows from an EA/EU Member State to a non-EA/EU country while imports record inwards flows. Exports are expressed in value terms and measured free on board (FOB), while imports are expressed in value terms and measured "cost, insurance, freight" (CIF ). "Goods" means all movable property including electric current. Data are expressed in million euros. Data are presented in the calendar and seasonally adjusted form.

Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Designs constitute means by which creators seek protection for their industrial property. Designs reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Design data can provide a link between innovation and the market. A design is the outward appearance of a product or part of it, resulting from the lines, contours, colours, shape, texture, materials and/or its ornamentation. The design or shape of a product can be synonymous with the branding and image of a company and can become an asset with increasing monetary value. This domain provides users with data concerning Community Designs. Community Designs refer to design protections throughout the European Union, which covers 28 countries. The Office for Harmonization in the Internal Market (EUIPO) is the official office of the European Union for the registration of Community Trade marks and Designs. A registered Community design (RCD) is an exclusive right that covers the outward appearance of a product or part of it. The fact that the right is registered confers on the design great certainty should infringement occur. An RCD initially has a life of five years from the filing date and can be renewed in blocks of five years up to a maximum of 25 years. Applicants may market a design for up to 12 months before filing for an RCD without destroying its novelty (Source: EUIPO).

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

The balance of payments is a record of a country's international transactions with the rest of the world. It is composed of the current account and the capital and financial account. The current account is itself subdivided into goods, services, income and current transfers; it registers the value of exports (credits) and imports (debits). The difference between these two values is the "balance".

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Detailed Average Prices project provides average prices per country of up to 192 well defined consumer goods and services.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards. SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables:�labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases);�capital input (e.g. Material investments) All SBS characteristics are published on Eurostat?s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section).  

Data prior to 1999 are based on Standard International Trade Classification (SITC) 3. Data from 1999 onwards are based on SITC 4.1 and consistent with the ASEAN Harmonised Tariff Nomenclature (AHTN) 2017 version.

'Statistics on high-tech industry and knowledge-intensive services' (sometimes referred to as simply 'high-tech statistics') comprise economic, employment and science, technology and innovation (STI) data describing manufacturing and services industries or products traded broken down by technological intensity. The domain uses various other domains and sources of  Eurostat's official statistics (CIS, COMEXT, HRST, LFS, PATENT, R&D and SBS) and its coverage is therefore dependent on these other primary sources. Two main approaches are used in the domain to identify technology-intensity: the sectoral approach and the product approach. A third approach is used for data on high-tech and biotechnology patents aggregated on the basis of the International Patent Classification (IPC) 8th edition (see summary table in Annex 1 for which approach is used by each type of data). The sectoral approach: The sectoral approach is an aggregation of the manufacturing industries according to technological intensity (R&D expenditure/value added) and based on the Statistical classification of economic activities in the European Community (NACE)  at 2-digit level. The level of R&D intensity served as a criterion of classification of economic sectors into high-technology, medium high-technology, medium low-technology and low-technology industries. Services are mainly aggregated into knowledge-intensive services (KIS) and less knowledge-intensive services (LKIS) based on the share of tertiary educated persons at NACE 2-digit level. The sectoral approach is used for all indicators except data on high-tech trade and patents. Note that due to the revision of the NACE from NACE Rev. 1.1 to NACE Rev. 2 the definition of high-technology industries and knowledge-intensive services has changed in 2008. For high-tech statistics it means that two different definitions (one according NACE Rev. 1.1 and one according NACE Rev. 2) are used in parallel and the data according to both NACE versions are presented in separated tables depending on the data availability. For example as the LFS provides the results both by NACE Rev. 1.1 and NACE Rev. 2, all the table using this source have been duplicated to present the results by NACE Rev. 2 from 2008. For more details, see both definitions of high-tech sectors under Annexes section. Within the sectoral approach, a second classification was created , named Knowledge Intensive Activities KIA) and based on the share of tertiary educated people in each sectors of industries and services according to NACE at 2-digit level and for all EU28 Member States. A threshold was applied to judge sectors as knowledge intensive. In contrast to first sectoral approach mixing two methodologies, one for manufacturing industries and one for services, the KIA classification is based on one methodology for all the sectors of industries and services covering even public sector activities. The aggregations in use are Total Knowledge Intensive Activities (KIA) and Knowledge Intensive Activities in Business Industries (KIABI). Both classifications are made according to NACE Rev. 1.1 and NACE Rev. 2 at 2- digit level. Note that due to revision of the NACE Rev.1.1 to NACE Rev. 2 the list of Knowledge Intensive Activities has changed as well, the two definitions are used in parallel and the data are shown in two separate tables. NACE Rev.2 collection includes data starting from 2008 reference year. For more details please see the definitions under Annexes section. The product approach: The product approach was created to complement the sectoral approach and it is used for data on high-tech trade. The product list is based on the calculations of R&D intensity by groups of products (R&D expenditure/total sales). The groups classified as high-technology products are aggregated on the basis of the Standard International Trade Classification (SITC). The initial definition was built based on SITC Rev.3 and served to compile the high-tech product aggregates until 2007. With the implementation in 2007 of the new version of SITC Rev.4, the definition of high-tech groups was revised and adapted according to new classification. Starting from 2007 the Eurostat presents the trade data for high-tech groups aggregated based on the SITC Rev.4. . For more details, see definition of high-tech products under Annexes section. High-tech patents: High-tech patents are defined according to another approach. The groups classified as high-tech patents are aggregated on the basis of the International Patent Classification (IPC 8th edition). Biotechnology patents are also aggregated on the basis of the IPC 8th edition. For more details, see the aggregation list of high-tech and biotechnology patents under Annexes section. The high-tech domain also comprises the sub-domain Venture Capital Investments: data are provided by INVEST Europe (formerly named the European Private Equity and Venture Capital Association EVCA). More details are available in the Eurostat metadata under Venture capital investments. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data.

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 005 -- Energy import and export by country, % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_005_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 006 -- Energy import and export by country, proportion % http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_006_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description kuvaus Consepts and definitions *Year preliminary

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- Energy import and export by country http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__ene__ehk/statfin_ehk_pxt_004_en.px License: http://creativecommons.org/licenses/by/4.0/ Revisions in these statistics Description Consepts and definitions *Year preliminary

Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects:ICT systems and their usage in enterprises,use of the Internet and other electronic networks by enterprises,e-commerce,e-business processes and organisational aspects,use of ICT by enterprises to exchange information and services with governments and public administrations (e-government),ICT competence in the enterprise and the need for ICT skills,barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes,ICT expenditure and investment,ICT security and trust,use of ICT and its impact on the environment (Green ICT),access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things),access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns:by size class,by NACE categories,by region (until 2010)

Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: - ICT systems and their usage in enterprises, - use of the Internet and other electronic networks by enterprises, - e-commerce, - e-business processes and organisational aspects, - use of ICT by enterprises to exchange information and services with governments and public administrations (e-government), - ICT competence in the enterprise and the need for ICT skills, - barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes, - ICT expenditure and investment, - ICT security and trust, - use of ICT and its impact on the environment (Green ICT), - access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things), - access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns: - by size class, - by NACE categories, - by region (until 2010)

Data given in this domain are collected on a yearly basis by the National Statistical Institutes or Ministries and are based on the annual Eurostat Model Questionnaires on ICT (Information and Communication Technologies) usage and e-commerce in enterprises. Large part of the data collected are used in the context of the 2011 - 2015 benchmarking framework (endorsed by i2010 High Level Group in November 2009) for the Digital Agenda Scoreboard, Europe's strategy for a flourishing digital economy by 2020. This conceptual framework follows the i2010 Benchmarking Framework which itself followed-up the eEurope 2005 Action Plan. The aim of the European ICT usage surveys is to collect and disseminate harmonised and comparable information on the use of Information and Communication Technologies in enterprises and e-commerce at European level. Coverage: The characteristics to be provided are drawn from the following list of subjects: - ICT systems and their usage in enterprises, - use of the Internet and other electronic networks by enterprises, - e-commerce, - e-business processes and organisational aspects, - use of ICT by enterprises to exchange information and services with governments and public administrations (e-government), - ICT competence in the enterprise and the need for ICT skills, - barriers to the use of ICT, the Internet and other electronic networks, e-commerce and e-business processes, - ICT expenditure and investment, - ICT security and trust, - use of ICT and its impact on the environment (Green ICT), - access to and use of the Internet and other network technologies for connecting objects and devices (Internet of Things), - access to and use of technologies providing the ability to connect to the Internet or other networks from anywhere at any time (ubiquitous connectivity). Breakdowns: - by size class, - by NACE categories, - by region (until 2010)

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. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

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. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

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. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. European ITGS are the official harmonised source of information about exports, imports and the trade balances of the EU, its Member States and the euro area.   Type of users and requirements As international trade forms a major part of the world economy, statistics on trade in goods are an instrument of primary importance for numerous public and private sector decision makers. For example, international trade statistics • enable EU authorities to prepare multilateral and bilateral negotiations under the common commercial policy; • enable EU authorities to evaluate the progress of the Single Market and the integration of EU economies; • enable EU authorities to define and implement anti-dumping policies; • constitute an essential source of information for balance of payments statistics, national accounts and economic studies; and • help EU businesses conduct market research and define their commercial strategy. Statistics satisfy these needs in a variety of ways. Users may need either annual aggregated or detailed monthly data on products or partner countries. They may be interested in trade values in current prices or at constant prices. Alternatively, their interest may be in quantities rather than in values. These examples, which are far from exhaustive, show the diversity of users and their requirements. Eurostat tries to meet these various needs and to adapt to a changing environment, such as changes due to globalisation.   Extrastat and Intrastat: two data collection systems Traditionally ITGS are based on the data collected by customs authorities on trade transactions between countries. Customs declarations are used for statistical purposes as the basic data source which provides detailed information on exports and imports of goods with a geographical breakdown. The first piece of EU legislation on ITGS was adopted in 1975; it provided general guidelines on data collection and obliged Member States to send their data to Eurostat. The advent of the Single Market on 1 January 1993, with its removal of customs formalities between Member States and subsequent loss of trade statistics data sources, required the establishment of a new data collection system: Intrastat.. Since then ITGS are based on two data collection systems: Extrastat and Intrastat. Extrastat data on trade in goods with non-EU countries are collected by customs authorities and are based on the records of trade transactions in customs declarations, whereas Intrastat data are directly collected from intra-EU trade operators once a month. Alternative data sources may be used for some specific goods and movements like for among with ships, aircraft, gas and electricity.   Aggregated versus detailed data International trade in goods statistics are published through different datasets grouped into two categories:Aggregated data which refer to macroeconomic indicators for the EU and euro area. Data are aggregated by broad product categories, both monthly (short-term indicators) and annually (long-term indicators). Broad product categories are defined as one-digit codes of the Standard International Trade Classification (SITC) or aggregates of the Broad Economic Categories (BEC); andDetailed data which refer to the most detailed level of the following product nomenclatures: the Combined Nomenclature (CN), the SITC, the BEC, the Classification of Products by Activity (CPA) and the Standard Goods Classification for Transport Statistics/Revised (NSTR). Detailed data also contain aggregations at higher levels.   Statistical dimensions The frequency at which the data are compiled (data periodicity) and the product nomenclature differ depending on the dataset, but the following statistical fields are always available:reporting country: country or geo-economic area such as EU or euro area;reference period: month and/or year;trade flows: import and export;product according to the relevant classification; andpartner country: EU Member State, non-EU country or geo-economic area. Besides the dimensions listed above, specific datasets contain information on the mode of transport (e.g. by sea, by air or by road) or the statistical procedure (normal trade versus trade for processing activities).

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

Intellectual property refers broadly to the creations of the human mind. Intellectual property rights protect the interests of creators by giving them property rights over their creations. Trade marks constitute means by which creators seek protection for their industrial property. Trade marks reflect the non-technological innovation in every sector of economic life, including services. In this context, indicators based on Trade mark data can provide a link between innovation and the market. Trade marks such as words or figurative marks are an essential part of the “identity” of goods and services. They help deliver brand recognition, in logos for example, and play an important role in marketing and communication. It is possible to register a variety of Trade marks including words, other graphical representations, and even sounds. Rights owners have a choice of obtaining protection on a country-by-country basis, or using international systems. This domain provides users with data concerning European Union Trade marks. European Union Trade marks refer to trade mark protections throughout the European Union, which covers 28 countries. The European Union Intellectual Property Office (EUIPO) is the official office of the European Union for the registration of European Union Trade marks and Designs. A European Union Trade mark is an exclusive right that protects distinctive signs, valid across the EU, registered directly with EUIPO in Alicante in accordance with the conditions specified in the EUTM Regulations (Source: EUIPO).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Balance of Payments (BOP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an economic area during a given period. The Balance of payments provides harmonized information on international transactions which are part of the current account (goods, services, primary and secondary income), as well as on transactions which fall in the capital and the financial account. International investment position presents value of financial assets owned outside the economy and indebtedness of the economy to the rest of the world. BOP is an important macro-economic indicator used to assess the position of an economy (of credit or debit for current and capital acount, net acquisition of financial assets or net incurrence of liabilities for BOP financial account and international investment position) towards the external world. Out of BOP data, some indicators on international position of the EU and Member States are derived. Indicators on Main Balance of Payments and International Investment Position items as share of GDP are presented as percentage of GDP for given year or quarter and moving average for 3 consecutive years for:balance, credit and debit flows of current and capital accounts and of main current account  items: goods, services, primary and secondary income,net flows, net acquisition of financial assets and net incurrence of liabilities for total financial account and foreign direct investment, international investment position and net external debt at the end of reference quarter or year.   Indicators on export market shares present shares of each EU Member State in total world exports of goods and services for given year, and 1-year and 5-year percentage changes of these shares, as well as shares in OECD exports and 5-year percentage changes of these shares.

The Export of Value Added (EVA) dataset illustrates the strength of economy- wide linkages. It provides data on how value added structures and services linkages to trade have evolved over time. Thanks to repeated updating of the GTAP dataset, we have data for both cross border linkages in recent years, and how these have changed since the early 1990s. This serves as the basis for the database, which builds on Christen, Francois, and Hoekman (2012) and Francois, Manchin, and Tomberger (2012). We work with a panel of global input-output data (a set of global social accounting matrices spanning intermittent years from 1992 to 2011) that covers not only key OECD economies, but also a range of developing countries as well. Sector_GMatrix:  This matrix contains the total domestic value added based on linkages. Depending whether rows or columns are considered its sum corresponds to forward (row) or backward (colunn) linkages. Thus reading a row for a given sector (sector presented on the y-axis) provides information about how much this sector went into each sector (on the x-axis) as inputs DomVAshare: This vector denotes the domestic share of value added of gross value of output per sector. GXshare: Denotes the share of each sector in total exports per country based on the gross value of exports. DXshare: Denotes the share of each sector’s exports of total exports per country based on direct value added, ignoring linkages. VXsharefwd: Denotes the total value added in exports based on forward linkages per sector and country. VXsharebwd: Denotes the total value added in exports based on backward linkages. It is obtained by taking the column-sums of matrix H.

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the reporting country and the rest of the world. Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The table indicates the seasonally adjusted values of the EU and euro-zone exports. Exports are valuated FOB (Free on Board), i.e. only incidental expenses (freight, insurance) incurred in the part of journey located on the territory of the reporting country are included. The raw values of the Member States are adjusted according to the number of working days on the basis of each national calendar and then seasonally adjusted before being aggregated to provide the EU and euro-zone totals.

If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statisticsMonthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later.countryEUCroatia is included in the trade with the EU from 2014 on.Palestine (2013-)Previously: West Bank/Gaza Stripe (2001-2012)

If a search in the StatBank does not return any result, this does not necessarily mean that there is no trade or that the country code is not valid in the particular period. A zero (0) could also imply that the figures are confidential or that the value is less than half of the unit used. From 2006 on the following countries had their belonging to continent changed - Cyprus from Asia to Europe, and Armenia, Georgia, Kyrgyzstan, Kazakhstan, Tajikistan, Turkmenistan and Uzbekistan from Europe to Asia. The total for Trade are/continent includes this change - while in the selections of countries in the pull-down menu for European/Asian countries it is the present classification that will be shown for the whole time period (Cypros belonging to Europe and the other countries to Asia). Statistics Norway do not publish figures for the trade region previously Comecon after 2011. For more information, see About the statisticsMonthly figures are released on the 15th of the month after the observation period (the previous month), or the first subsequent working day. These figures are preliminary. Corresponding yearly figures are published together with the monthly figures for December. With regard to the current year, all the monthly figures are updated in every publication. Final figures for the preceding year are released twice. For the first time in May the following year, while the corrected final figures are published in May one year later.countryEUCroatia is included in the trade with the EU from 2014 on.Palestine (2013-)Previously: West Bank/Gaza Stripe (2001-2012)

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

The table shows the 20 main partners of the EU27 (from 2020) (according to the sum imports+exports), expressed in value terms and in % of the total flow.

National accounts are a coherent and consistent set of macroeconomic indicators, which provide an overall picture of the economic situation and are widely used for economic analysis and forecasting, policy design and policy making. Eurostat publishes annual and quarterly national accounts, annual and quarterly sector accounts as well as supply, use and input-output tables, which are each presented with associated metadata. Even though consistency checks are a major aspect of data validation, temporary (usually limited) inconsistencies between datasets may occur, mainly due to vintage effects. Annual national accounts are compiled in accordance with the European System of Accounts - ESA 2010 as defined in Annex B of the Council Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013.   The previous European System of Accounts, ESA95, was reviewed to bring national accounts in the European Union, in line with new economic environment, advances in methodological research and needs of users and the updated national accounts framework at the international level, the SNA 2008. The revisions are reflected in an updated Regulation of the European Parliament and of the Council on the European system of national and regional accounts in the European Union of 2010 (ESA 2010). The associated transmission programme is also updated and data transmissions in accordance with ESA 2010 are compulsory from September 2014 onwards. Further information (including actual communications) is presented on the Eurostat website. The domain consists of the following collections:   1. Main GDP aggregates: main components from the output, expenditure and income side, expenditure breakdowns by durability and exports and imports by origin. <

Data cited at: Statistics Finland http://www.stat.fi/index_en.html Publication: 004 -- International trade in services by region, 1 000 000 euros http://pxnet2.stat.fi/PXWeb/pxweb/en/StatFin/StatFin__kan__tpulk/statfin_tpulk_pxt_004.px License: http://creativecommons.org/licenses/by/4.0/ The statistics on international trade in goods and services cover international trade in balance of payments terms on the quarterly level. The statistics form a link for goods trade in customs and balance of payments terms, describe the breakdown of quarterly trade in services, and indicate the total exports of goods and services by area. . = Category not applicable. .. = Data not available or too uncertain for presentation, or subject to secrecy. Description of statistics Concepts and definitionsRegion Region and statesYear Year.Data Import The value of imports, 1 000 000 euros.Export The value of exports, 1 000 000 euros.

International Trade in Commodities in UAE

Index score per member for selected services sectors For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors of a sector grouping.  "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda.  "PTA" reflects the index value for a Member's 'best' PTA commitments across all its PTAs, for each sub-sector.  The index value is for both mode 1 (cross-border trade) and mode 3 (commercial presence).  The score for EU commitments is for the EC-15.   

This database contains statistics on the annual production of fishery commodities and imports and exports of fishery commodities by country and commodities in terms of volume and value from 1976.

The Global Retail Development Index™ is an annual study that ranks the top 30 developing countries for retail expansion worldwide. The Index analyzes 25 macroeconomic and retail-specific variables to help retailers devise successful global strategies and to identify developing market investment opportunities. The GRDI is unique because it identifies today's most successful markets and those that offer the most potential for the future.

The 2016 Global Trade Management Survey is a combined effort of KPMG's Global Trade & Customs practice and Thomson Reuters who, together, have surveyed over 1,700 global trade specialists around the world to develop and present the findings of an extensive study on the state of global trade today.

National Accounts of Costa Rica

Regional accounts are a regional specification of the national accounts and therefore based on the same concepts and definitions as national accounts (see domain nama10). The main specific regional issues are addressed in chapter 13 of ESA2010, but not practically specified. For practical rules and recommendations on sources and methods see the publication "Manual on regional accounts methods": http://ec.europa.eu/eurostat/en/web/products-manuals-and-guidelines/-/KS-GQ-13-001 . Gross domestic product (GDP) at market prices is the final result of the production activity of resident producer units. It can be defined in three ways: 1. Output approach GDP is the sum of gross value added of the various institutional sectors or the various industries plus taxes and less subsidies on products (which are not allocated to sectors and industries). It is also the balancing item in the total economy production account. 2. Expenditure approach GDP is the sum of final uses of goods and services by resident institutional units (final consumption expenditure and gross capital formation), plus exports and minus imports of goods and services. At regional level the expenditure approach cannot be used in the EU, because there is no data on regional exports and imports.  3. Income approach GDP is the sum of uses in the total economy generation of income account: compensation of employees plus gross operating surplus and mixed income plus taxes on products less subsidies plus consumption of fixed capital. The different measures for the regional GDP are absolute figures in € and Purchasing Power Standards (PPS), figures per inhabitant and relative data compared to the EU28 average.

This dataset presents number of importing/exporting enterprises and their trade value (in millions of USD) by size class, and economic activity expressed in ISIC Rev.4.

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). Goods are physical, produced items over which ownership rights can be established and whose economic ownership can be passed from one institutional unit to another by engaging in transactions. The product breakdowns available in Newcronos/Euro-indicators are based on aggregates derived from the Broad Economic Categories (BEC) classification and the Standard International Trade Classification (SITC).

International trade statistics cover any movements of goods between the EU Member States and non-member countries (extra-EU trade), and from one Member State to another (intra-EU trade). 'Goods' means all movable property, including electric current.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year:Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

Index score per member on the basis of 'best' RTA commitments For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors.  "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda.  "PTA" reflects the index value for a Member's 'best' PTA commitments across all its PTAs.  The score for EU commitments is for the EC-15.  For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors.  "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda.  "PTA" reflects the index value for a Member's 'best' PTA commitments across all its PTAs.  The score for EU commitments is for the EC-15. 

Index score per agreement For methodology, see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset". The index score is brought within a scale of 0 to 100 for each sector, with 100 representing full commitments (i.e., without limitations) across all relevant sub-sectors. "GATS" reflects the index value for both GATS commitments and services offer in the ongoing Doha Development Agenda. The index value is for both mode 1 (cross-border trade) and mode 3 (commercial presence). The score for EU commitments is for the EC-15.

This indicator covers all individuals aged 16 to 74. Financial investments are excluded.

Production and trade in wood and paper products: - Primary products: roundwood, sawnwood, chips, residues, pellets, veneers, glulam, wood-based panels, pulp, paper, recovered paper and paperboard - Secondary products: further processed wood and paper products (only trade value) Sources: questionnaire jointly used by Eurostat, FAO, UN ECE and ITTO (Joint Forest Sector Questionnaire, JFSQ, EU version with extra worksheets); Eurostat's trade database COMEXT for unreported data on trade and the table on imports of tropical wood; Eurostat's PRODCOM data for production totals of selected products.

The EU27 consolidated Supply, use and input-output tables describe by product and industry the production processes and the transactions in products of the European Union economy with great detail. The consolidated supply, use and input-output tables for the EU27 describe the aggregation of the 27 Member States data, from which the intra trade data has been treated. Data are presented in million Euro in current prices (basic prices and a transformation into purchaser's prices for the supply side). Geographic coverage: Member States of EU27 National accounts are compiled in accordance with the European System of Accounts - ESA 1995. The data is presented in a framework where the domestic part corresponds to the area of EU27, the import part corresponds to imports from outside of the area EU27. Annex B of the Regulation (EC) No 1392/2007 of the European Parliament and of the Council of 13 November 2007 amending Council Regulation (EC) No 2223/96 with respect to the transmission of national accounts data.

The EU27 consolidated Supply, use and input-output tables describe by product and industry the production processes and the transactions in products of the European Union economy with great detail. The consolidated supply, use and input-output tables for the EU27 describe the aggregation of the 27 Member States data, from which the intra trade data has been treated. Data are presented in million Euro in current prices (basic prices and a transformation into purchaser's prices for the supply side). Geographic coverage: Member States of EU27 National accounts are compiled in accordance with the European System of Accounts - ESA 1995. The data is presented in a framework where the domestic part corresponds to the area of EU27, the import part corresponds to imports from outside of the area EU27. Annex B of the Regulation (EC) No 1392/2007 of the European Parliament and of the Council of 13 November 2007 amending Council Regulation (EC) No 2223/96 with respect to the transmission of national accounts data.

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: ESCAP-World Bank: International Trade Costs Publication: https://datacatalog.worldbank.org/dataset/escap-world-bank-international-trade-costs License: http://creativecommons.org/licenses/by/4.0/   The Trade Costs Dataset provides estimates of bilateral trade costs in agriculture and manufactured goods for the 1995-2015 period. It is built on trade and production data collected in 178 countries. Symmetric bilateral trade costs are computed using the Inverse Gravity Framework (Nov. 2009), which estimates trade costs for each country pair using bilateral trade and gross national output. Trade costs are available for two sectors: trade in manufactured goods, and agriculture. Energy is excluded.

The dataset provides a consolidated and reconciled version of multiple sources of bilateral trade data. Its advantages over the original source data are that it provides broader coverage based on mirror flows, reconciliation of aggregate with underlying flows, and consolidation (allowing for broader coverage than offered by source data). One weakness, inherent in all available data of this type, is that even with mirror flows, a substantial share of South-South trade is unreported. As such, while we can recover North-South exports from mirror flows, we cannot recover all unreported bilateral flows. The scale of the problem can be gauged by comparing trade with the world with bilateral flows in the database. Notes: • values are in millions of current US dollars • Because of the apparent mixing of zero and missing by source agencies, we have opted to use missing, or “.”, for reported zero and missing flows. • total with world is the greater of reported total with world, or aggregate of bilateral flows • region XWD holds difference between all bilateral flows and global (trade with world) total. It is the sum of flows with missing partners. This means XWD holds identified flows without a partner. It does not hold flows that are totally unreported. • all unreported REP:PAR:BOP:YEAR combinations, meaning that do not even appear in the dataset, can be safely assumed to be missing. By this, we mean there is no reported source for these flows, and the countries-product-year combination does not even occur in any of the underlying source data.

The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an  economic area during a given period. BoP provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall under the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment, to monitor the external commercial performance of different economies. Some indicators of EU market integration are also derived from BoP data. Data are reported in millions of Euro/ECU. Several statistical adjustments are applied to the original data provided by the Member States. Guidance for compilers is provided in the Manual on Statistics of International Trade in services 2002 (http://unstats.un.org/unsd/tradeserv/msitsintro.htm), that has been followed by IMTS 2010 (http://unstats.un.org/unsd/tradeserv/TFSITS/msits2010/docs/MSITS%202010%20M86%20(E)%20web.pdf)  ITS data are collected by national enterprise surveys, International Transaction System (ITRS) and administrative records.

The Balance of Payments (BoP) systematically summarizes all economic transactions between the residents and the non-residents of a country or of an  economic area during a given period. BoP provides harmonized information on international transactions which are part of the current account (goods, services, income, current transfers), but also on transactions which fall under the capital and the financial account. BoP is an important macro-economic indicator used to assess the position of an economy (of credit or debit) towards the external world. Data on International Trade in Services (ITS), a component of BoP current account, are used, alongside with data on Foreign Direct Investment, to monitor the external commercial performance of different economies. Some indicators of EU market integration are also derived from BoP data. Data are reported in millions of Euro/ECU. Several statistical adjustments are applied to the original data provided by the Member States. Guidance for compilers is provided in the Manual on Statistics of International Trade in services 2002 (http://unstats.un.org/unsd/tradeserv/msitsintro.htm), that has been followed by IMTS 2010 (http://unstats.un.org/unsd/tradeserv/TFSITS/msits2010/docs/MSITS%202010%20M86%20(E)%20web.pdf)  ITS data are collected by national enterprise surveys, International Transaction System (ITRS) and administrative records.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

Culture statistics cover many aspects of economic and social life. According to the Europe 2020 strategy, the role of culture is crucial for achieving the goal of a "smart, sustainable and inclusive" growth. The international trade in cultural goods is considered as one of the economic dimensions of culture. A specific set of statistics can be built based on international trade data: to make a time series analysis, to estimate the contribution of cultural trade to total international trade of each country or to estimate its contribution to total EU-28 trade. These and many other derived indicators, like the distribution of trade by group of products or by trade partner, enable to measure the relative weight of culture in the whole economy. The international trade in cultural goods covers the import and export values of goods traded among Member States and internationally. "Goods" in this particular case means all movable property, in other terms products having a physical dimension. So, external trade in licenses and copyrights is not included. "Cultural goods" refer to the particular set of goods and commodities in Combined Nomenclature (CN) classification identified according to criteria set up by ESSnet-culture framework for culture statistics.   New scope for international trade in cultural goods In 2016, for the sake of consistency with the international developments and in particular with the UNESCO statistics, the European scope of international trade in cultural goods was revised by the Working Group 'Culture statsitics' to cover more commodities. Compared to the previous scope that was used for the compilation of statistics until 2015, the following changes have been brought: extension of the category hand-made fabrics with some hand-made ornamental articles;creating a new category with jewellery articles;eExtension of audio-visual categories;split of audio-visual categories on recorded media with music on the one side and film, video and video games on the other side. The two tables on international trade in cultural goods in Eurobase present the data according to the new scope for the period since 2004 onwards (see the Notes at the bottom of this section for data by old and new scope).   Data sourceInternational trade statistics are stored in the administrated by Eurostat database on international trade - Comext. Comext provides statistics on 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). The trade values for other political or geographical entities like EFTA and candidate countries are as well collected. Comext database is built around six main dimensions: REPORTERPARTNERFLOWINDICATORPRODUCTTIME The Reporter dimension includes country declaring commercial transactions. In the Partner dimension the trade partners of declaring country are included. This dimension lists all the countries of the world. The Flow dimension distinguishes exports and imports. The Indicator dimension specifies the value or volume of traded products. The Product dimension contains the items by HS, CN or SITC depending on the dataset. Concerning Time, both annual and monthly data are available. The Comext data are updated regularly and the CN classification undergoes regular revisions to ensure it is kept up to date in the light of changes in the technology and international trade patterns.   Cultural goods The frames for establishing the list of cultural goods for the purpose of international trade were set up by ESSnet-culture and UNESCO in their respective frameworks for cultural statistics. In both frameworks the core criterion of the identification of 'cultural' goods is the 'artistic creation' and what the products are conveying in terms of symbolic, artistic and spiritual or aesthetic values. To build the list, the 10 cultural domains as identified by ESSnet-culture (heritage, books and press, visual arts, art craft, performing arts, audio-visual and multimedia, architecture, archives, libraries and advertising) were analysed from 'product perspective'. This analysis enabled the identification of numerous 'cultural' codes which further were aggregated in the following groups (see below): Antiques and collectors' piecesWorks of art (paintings, engravings, sculpture, design etc.)Craft (handmade fabrics and ornamental articles)Jewellery (of precious and semi-precious metals and stones)BooksNewspapers, journals and periodicalsMapsArchitecture plans and drawingsPhotography (developed films)Audio-visual and interactive media (films, videos, video games and consoles)Recorded media with music (gramophone records, magnetic tapes and CDs)Musical instruments Detailed list of codes according to CN composing the aggregates can be found in the Annex 2 - International trade in cultural goods by new scope of the present Metadata file. Based on the number of dimensions available in Comext database the following indicators are calculated for imports and exports of cultural goods: Trade value in thousands of euro (THS_EUR)Percentage of total national trade (only for total of cultural goods) (PC_TOT)Percentage of total EU-28 trade (PC_EU28)Percentage of total trade of cultural goods (PC)  Then the data are compiled for the following trade partners: Intra EU-28Extra EU-28WorldIndividual countries   Notes The publication "Culture statistics - 2016 edition" (from the "Statistical books" series) was based on the previous scope. The data using the previous scope are still available for the reference years 2002-2015 via the section 'Data' of the Dedicated section. The detailed content of the old scope can be found in the Annex 1 – International trade in cultural goods by old scope to the present document.

Culture statistics cover many aspects of economic and social life. According to the Europe 2020 strategy, the role of culture is crucial for achieving the goal of a "smart, sustainable and inclusive" growth. The international trade in cultural goods is considered as one of the economic dimensions of culture. A specific set of statistics can be built based on international trade data: to make a time series analysis, to estimate the contribution of cultural trade to total international trade of each country or to estimate its contribution to total EU-28 trade. These and many other derived indicators, like the distribution of trade by group of products or by trade partner, enable to measure the relative weight of culture in the whole economy. The international trade in cultural goods covers the import and export values of goods traded among Member States and internationally. "Goods" in this particular case means all movable property, in other terms products having a physical dimension. So, external trade in licenses and copyrights is not included. "Cultural goods" refer to the particular set of goods and commodities in Combined Nomenclature (CN) classification identified according to criteria set up by ESSnet-Culture framework for culture statistics.   New scope for international trade in cultural goods In 2016, for the sake of consistency with the international developments and in particular with the UNESCO statistics, the European scope of international trade in cultural goods was revised by the Working Group 'Culture statsitics' to cover more commodities. Compared to the previous scope that was used for the compilation of statistics until 2015, the following changes have been brought: extension of the category hand-made fabrics with some hand-made ornamental articles;creating a new category with jewellery articles;extension of audio-visual categories;split of audio-visual categories on recorded media with music on the one side and film, video and video games on the other side. Two tables on international trade in cultural goods in Eurobase present the data according to the new scope for the period since 2004 onwards (see the Notes at the bottom of this section for data by old and new scope).   Data sourceInternational trade statistics are stored in the administrated by Eurostat database on international trade — Comext. Comext provides statistics on 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). The trade values for other political or geographical entities like EFTA and candidate countries are as well collected. Comext database is built around six main dimensions: REPORTERPARTNERFLOWTIMEINDICATORPRODUCT The Reporter dimension includes country declaring commercial transactions. In the Partner dimension the trade partners of declaring country are included. This dimension lists all the countries of the world. The Flow dimension distinguishes exports and imports. Concerning Time, both annual and monthly data are available. The Indicator dimension specifies the value or volume of traded products. The Product dimension contains the list of goods by one of the standard product classifications: HS, CN or SITC depending on the dataset.   The data in Comext are updated regularly and the CN classification undergoes the revisions every year to ensure it is kept up to date in the light of changes in the technology and international trade patterns. Major revisions take place every 5 years and accompany the revision of HS classification. The latest important revision occured in 2017 and impacted two cultural aggregates (see details in Annex 2 below).     Cultural goods The frames for establishing the list of cultural goods for the purpose of international trade were set up by ESSnet-Culture and UNESCO in their respective frameworks for cultural statistics. In both frameworks the core criterion of the identification of 'cultural' goods is the 'artistic creation' and what the products are conveying in terms of symbolic, artistic and spiritual or aesthetic values. To build the list, the 10 cultural domains as identified by ESSnet-culture (heritage, books and press, visual arts, art craft, performing arts, audio-visual and multimedia, architecture, archives, libraries and advertising) were analysed from 'product perspective'. This analysis enabled the identification of numerous 'cultural' codes within seven domains (except archives, libraries and advertising).   Current list of cultural goods reflecting the scope revision (2016) and the changes in the CN in 2017 includes the following product categories: Antiques;Works of art;Craft articles;Jewellery;Books;Newspapers;Maps;Architecture plans and drawings;Photographic plates and films;Recorded media (CDs, DVDs, Blu-rays, magnetic tapes, gramophone records);Video game consoles;Musical instruments.   Detailed list of codes according to CN composing the cultural aggregates can be found in the Annex 2 - International trade in cultural goods by new scope in CN 2017 of the present Metadata file.   Based on the number of dimensions available in Comext database the following indicators are calculated for imports and exports of cultural goods: Trade value in thousands of euro (THS_EUR)Percentage of total national trade (only for total of cultural goods) (PC_TOT)Percentage of total EU-28 trade (PC_EU28)Percentage of total trade of cultural goods (PC)   Then the data are compiled for the following trade partners: Intra EU-28Extra EU-28WorldIndividual countries   Notes The publication "Culture statistics - 2016 edition" (from the "Statistical books" series) was based on the previous scope. The data using the previous scope are still available for the reference years 2002-2015 via the section 'Information on data/International trade in cultural goods of the Culture Dedicated Section. The detailed content of the old scope can be found in the Annex 1 – International trade in cultural goods by old scope to the present document.

Sport and its spill-over effects in manufacturing, services and as well in international trade are gaining the growing impact in the worldwide economies and societies. As a consequence, sport has been awarded a significant role in numerous European programs and policies like Erasmus+. The comparable statistics on number of jobs created by sport related sectors, value added generated by sport related industries and services or impact of the trade of sport goods on total international trade volume are only few indicators that can assess the relative contribution of sport to the economic growth. The international trade in sport goods is the indicator enabling to measure the weight of trade of sport goods in the whole external trade of a given country or at EU-28 level as the Eurostat international trade domain provides the imports and exports values of goods traded among Member States and internationally. "Goods" in this particular case means all movable property, in other terms products having a physical dimension. So, external trade in licenses and copyrights is not included. Data source International trade statistics are stored in the administrated by Eurostat database on international trade - Comext. Comext contains statistics on 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). The trade values for other political or geographical entities like EFTA and Candidate countries are as well collected. Comext database is built around 6 main dimensions:REPORTERPARTNERFLOWPRODUCTTIMEINDICATOR The Reporter dimension includes country declaring commercial transactions. In the Partner dimension the trade partners of declaring country are included. This dimension lists all the countries of the world. The Flow dimension distinguishes exports and imports. The Indicator dimension specifies the value or volume of traded products. The Product dimension contains the items by HS, CN or SITC depending on the dataset Concerning Time, both annual and monthly breakdowns are available. The Comext data are updated regularly and the CN classification undergoes a regular revision to ensure it is kept up to date in the light of changes in the technology and international trade patterns. Sport goods The frames for the establishment of the list of sport goods provided the Vilnius Definition, the Study on the Contribution of Sport to Economic Growth and Employment in the EU and UNESCO in its framework for cultural statistic. In the final selection of the list of sport goods Eurostat took into account the 'sport content' and ' sport intensity' of the codes identified within the Harmonised Systems (HS) nomenclature. The retained in the sport scope items are explicitly sport related – they are manufactured in sport manufacturing sector and they correspond explicitly to major sport disciplines or equipment. The identified codes by HS (6 digit) are aggregated in the meaningful groups  (see below):Skis and related equipmentSkatesWater sportGolfRacket sport (tennis and badminton)BallsGymnastic, athletic and swimming equipmentFishingBicyclesParachutesSportswearFootwearShotguns Detailed list of codes according to HS composing the aggregates can be found in the Annex 1 of Metadata. Based on the number of dimensions available in Comext, the following indicators can be extracted and then calculated for imports and exports of sport goods.Trade value in thousands of euroPercentage of total national trade (only for total of sport goods)Percentage of total EU-28 tradePercentage of total trade of sport goods Then the data are compiled for the following trade partners:Intra EU-28Extra EU-28 WorldMain trading partners

Sport and its spill-over effects in manufacturing, services and as well in international trade are gaining the growing impact in the worldwide economies and societies. As a consequence, sport has been awarded a significant role in numerous European programs and policies like Erasmus+. The comparable statistics on number of jobs created by sport related sectors, value added generated by sport related industries and services or impact of the trade of sport goods on total international trade volume are only few indicators that can assess the relative contribution of sport to the economic growth. The international trade in sport goods is the indicator enabling to measure the weight of trade of sport goods in the whole external trade of a given country or at EU-28 level as the Eurostat international trade domain provides the imports and exports values of goods traded among Member States and internationally. "Goods" in this particular case means all movable property, in other terms products having a physical dimension. So, external trade in licenses and copyrights is not included. Data source International trade statistics are stored in the administrated by Eurostat database on international trade - Comext. Comext contains statistics on 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). The trade values for other political or geographical entities like EFTA and Candidate countries are as well collected. Comext database is built around 6 main dimensions:REPORTERPARTNERFLOWPRODUCTTIMEINDICATOR The Reporter dimension includes country declaring commercial transactions. In the Partner dimension the trade partners of declaring country are included. This dimension lists all the countries of the world. The Flow dimension distinguishes exports and imports. The Indicator dimension specifies the value or volume of traded products. The Product dimension contains the items by HS, CN or SITC depending on the dataset Concerning Time, both annual and monthly breakdowns are available. The Comext data are updated regularly and the CN classification undergoes a regular revision to ensure it is kept up to date in the light of changes in the technology and international trade patterns. Sport goods The frames for the establishment of the list of sport goods provided the Vilnius Definition, the Study on the Contribution of Sport to Economic Growth and Employment in the EU and UNESCO in its framework for cultural statistic. In the final selection of the list of sport goods Eurostat took into account the 'sport content' and ' sport intensity' of the codes identified within the Harmonised Systems (HS) nomenclature. The retained in the sport scope items are explicitly sport related – they are manufactured in sport manufacturing sector and they correspond explicitly to major sport disciplines or equipment. The identified codes by HS (6 digit) are aggregated in the meaningful groups  (see below):Skis and related equipmentSkatesWater sportGolfRacket sport (tennis and badminton)BallsGymnastic, athletic and swimming equipmentFishingBicyclesParachutesSportswearFootwearShotguns Detailed list of codes according to HS composing the aggregates can be found in the Annex 1 of Metadata. Based on the number of dimensions available in Comext, the following indicators can be extracted and then calculated for imports and exports of sport goods.Trade value in thousands of euroPercentage of total national trade (only for total of sport goods)Percentage of total EU-28 tradePercentage of total trade of sport goods Then the data are compiled for the following trade partners:Intra EU-28Extra EU-28 WorldMain trading partners

Data cited at:  CBS StatLine databank https://opendata.cbs.nl/statline/portal.html?_la=en&_catalog=CBS Publication: Investment climate; The Netherlands international comparison https://opendata.cbs.nl/portal.html?_la=en&_catalog=CBS&tableId=71167ENG&_theme=1002 License: http://creativecommons.org/licenses/by/4.0/   This table shows basic figures on population and economic development for sixty countries. It concerns the following elementary indicators: - Gross Domestic Product; - Gross Domestic Product per capita; - Exports of goods and services; - Exports of high-tech goods; - Incoming Foreign Direct Investments; - Value added in services; - Population size. These indicators give an overall picture of the economic size and trade position of a country. The national economic development defines the basic climate within which companies develop their activities. A good economic development ensures a favourable investment climate in which enterprises can function well. Note: Comparable definitions are used to compare the figures presented internationally. The definitions sometimes differ from definitions used by Statistics Netherlands. The figures in this table could differ from Dutch figures presented elsewhere on the website of Statistics Netherlands. Data available from 1990 Status of the figures: The external source of these data frequently supplies adjusted figures on preceding periods. These adjusted data are not mentioned as such in the table. Changes as of 14 March 2011: Various figures have been updated as a result of updates of the underlying source. Please refer to the original source for information about the changes. When will the latest figures be published? The latest figures are shown in the table as soon as the external source supplies them.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

Prior to January 2003, merchandise trade data excludes Singapore's merchandise trade with Indonesia.

Prior to January 2003, merchandise trade data excludes Singapore's merchandise trade with Indonesia.

Data prior to 1999 are based on Standard International Trade Classification (SITC) 3. Data from 1999 onwards are based on SITC 4.1 and consistent with the ASEAN Harmonised Tariff Nomenclature (AHTN) 2017 version.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards. SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category:Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables:labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases);capital input (e.g. Material investments) All SBS characteristics are published on Eurostat?s website by tables and an example of the existent tables is presented below:Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section).  

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The indicator reports the nutrient balance of nitrogen and phosphorus – the difference between the quantity of nutrient inputs entering an agricultural system and the quantity of nutrient outputs leaving this system – for exports of nine cereal and oilseed (hence excluding pasture) as a share of the total nutrient balance for 21 countries in years 2006, 2007, 2010 and 2014. Grains covered by this indicator are wheat, maize, barley, sorghum, oats, rice soybeans, sunflower seed and rapeseed.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Constructions (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Producer (output) prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

The 'Production and Sales (MEI)' dataset is a dataset containing predominantly monthly statistics, and associated statistical methodological information, for the 34 OECD member countries and for selected other economies. The Production and Sales dataset contains industrial statistics on four separate subjects: Production; Sales; Orders; and Work started. The data series presented within these subjects have been chosen as the most relevant industrial statistics for which comparable data across countries is available. For Production, data comprise Indices of industrial production (IIP) for total industry, manufacturing, energy and crude petroleum; and further disaggregation of manufacturing production for intermediate goods and for investment goods and crude steel. For others, they comprise retail trade and registration of passenger cars; and permits issued and work started for dwellings. Considerable effort has been made to ensure that the data are internationally comparable across all countries presented, coverage for as many countries as possible, and that all the subjects have reasonable length of time-series to assist analysis. Most data are available monthly and are presented as an index (where the year 2010 is the base year) or as a level depending on which measure is seen as the most appropriate and/or useful in the economic analysis context. Due to differences in statistical or economic environment at country level, however, availability of data varies from one country to another.

Proportion of sub-sectors with GATS commitments in RTAs, per member For methodology and acronyms see the WTO Staff Working Paper "Services Commitments in Preferential Trade Agreements: An Expanded Dataset".  "GATS" stands here for GATS commitments and DDA services offers.  "PTA" here refers to a Member's 'best' PTA commitments across all its PTAs.  The percentage of sub-sectors for EU commitments refers to those of the EU-15. 

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

Data prior to 1999 are based on Standard International Trade Classification (SITC) 3. Data from 1999 onwards are based on SITC 4.1 and consistent with the ASEAN Harmonised Tariff Nomenclature (AHTN) 2017 version.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Production and trade in wood and paper products: - Primary products: roundwood, sawnwood, chips, residues, pellets, veneers, glulam, wood-based panels, pulp, paper, recovered paper and paperboard - Secondary products: further processed wood and paper products (only trade value) Sources: questionnaire jointly used by Eurostat, FAO, UN ECE and ITTO (Joint Forest Sector Questionnaire, JFSQ, EU version with extra worksheets); Eurostat's trade database COMEXT for unreported data on trade and the table on imports of tropical wood; Eurostat's PRODCOM data for production totals of selected products.

Production and trade in wood and paper products: - Primary products: roundwood, sawnwood, chips, residues, pellets, veneers, glulam, wood-based panels, pulp, paper, recovered paper and paperboard - Secondary products: further processed wood and paper products (only trade value) Sources: questionnaire jointly used by Eurostat, FAO, UN ECE and ITTO (Joint Forest Sector Questionnaire, JFSQ, EU version with extra worksheets); Eurostat's trade database COMEXT for unreported data on trade and the table on imports of tropical wood; Eurostat's PRODCOM data for production totals of selected products.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms:UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries CONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries WHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salaries SERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms: UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesCONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesSERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Industry, Trade and Services statistics are part of Short-term statistics (STS), they give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification(Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are presented in the following forms: UnadjustedWorking-day adjusted (Production, Turnover in wholesale and retail trade and other services, Hours worked)Seasonally-adjusted Data are accessible as monthly and quarterly data. This heading covers the indicators listed below in four different sectors. INDUSTRYProduction IndexTurnover IndexProducer Prices (Domestic Output Prices index)Import Prices Index: Total, Euro area market, Non euro area market (euro area countries only)Labour Input Indicators: Number of Persons Employed, Hours Worked, Gross Wages and SalariesCONSTRUCTIONProduction Index: Total of the construction sector, Building construction, Civil EngineeringLabour input indicators: Number of Persons Employed, Hours Worked, Gross Wages and SalariesConstruction costs IndexBuilding permits indicators: Number of dwellingsWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)Turnover (in value)Labour input indicators: Number of Persons EmployedSERVICES  Turnover Index

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

The Demand for services collection contains harmonised statistics on demand for services by enterprises in the non-financial business economy. The Demand for services collection includes the following variables: number of enterprises purchases of servicesservice related investments The demand side survey "demand for services" provides information on the functioning of the internal market for services, allowing a more profound understanding of the true extent of the use of services in the European economy. It provides information on service providers, types of service purchased, the location of the main service provider, barriers to purchasing services, the level of expectations for future purchases, as well as information on service related investments in intangibles (such as tradable rights, ICT, R&D, marketing and sales).

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

'na' denotes 'not available' or 'not applicable'. '-' denotes 'nil' or 'negligible' or 'not significant'. The activities abroad are classified according to Singapore Standard Industrial Classification 2015 (Version 2018).

'na' denotes 'not available' or 'not applicable'. '-' denotes 'nil' or 'negligible' or 'not significant'. The activities in Singapore are classified according to Singapore Standard Industrial Classification 2015 (Version 2018).

State and Commodity - TransBorder Freight Data

These tables offer a summary of obligations and disbursements in current and constant dollars by funding agency, funding account, and country from 2001 to the most recent year.

Market Database > Supply and Demand data from FAO, IGC and USDA-PSD Note: Season 2016/17, 2017/18, 2018/19 have been considered as 2017, 2018, and 2019 respectively

Since September 2014, national accounts are compiled in accordance with the European System of Accounts - ESA 2010. Supply, use and input-output tables are part of the National Accounts transmission program. The timeliness for supply, use and input-output tables is set to 36 months after the end of the reference year. For example, data for the year 2011 should be transmitted to Eurostat not later tg-han by end of December 2014. The transmission program sets the requirements for the transmission of national data by Member States and partners countries. Every year countries transmit the supply and use tables. Every 5 years (for reference years ending with 0 or 5) countries transmit input-output tables (product by product) and detailed use tables at basic prices and valuation tables. Data are presented in million Euro in current prices (basic prices and a transformation into purchaser's prices for the supply side). The geographic coverage is the Member States of EU. Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union defines the requirements for Member States. The EU and EA consolidated Supply, use and input-output tables describe by product and industry the production processes and the transactions in products of the European Union economy with great detail. The consolidated supply, use and input-output tables for the EU describe the aggregation of the EU Member States data, from which the intra trade data has been treated (respectively for the Euro Area). The data is presented in a framework where the domestic part corresponds to the area of EU, the import part corresponds to imports from outside of the area EU.

GeoDist makes available the exhaustive set of gravity variables used in Mayer and Zignago (2005). GeoDist provides several geographical variables, in particular bilateral distances measured using citylevel data to assess the geographic distribution of population inside each nation. We have calculated different measures of bilateral distances available for most countries across the world.  Colonial relationship after 1945: 1 =  Origin Country colonized by Destination Country,  Colonial link:1 = Yes Citation:  Mayer, T. & Zignago, S. (2011) Notes on CEPII’s distances measures : the GeoDist Database CEPII Working Paper 2011-25

This dataset provides trade and tariff data for countries where the reporter is "World".

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

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.

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.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

International trade in goods statistics are an important data source for many public and private sector decision-makers at international, European Union and national level. For example, at the European Union level, international trade data are extensively used for multilateral and bilateral negotiations within the framework of the common commercial policy, to define and implement anti-dumping policy, to evaluate the progress of the Single Market and many other policies. Moreover, they constitute an essential source for the compilation of balance of payments statistics and national accounts. International trade in goods statistics cover both extra- and intra-EU trade: Extra-EU trade statistics cover the trading of goods between Member States and a non-member countries. Intra-EU trade statistics cover the trading of goods between Member States. "Goods" means all movable property including electricity. Detailed and aggregated data are published for the Euro area, the European Union and for each Member State separately. Main components: Data record the monthly trade between Member States in terms of arrivals and dispatches of goods as well as the monthly trade in terms of imports and exports between Member States and non-member countries. However, in publications only the term “exports” for all outward flows and “imports” for all inward flows are applied for both intra-EU trade and extra-EU trade. Extra-EU trade imports and exports are recorded in the Member State where the goods are placed under the customs procedures. Extra-EU trade statistics do not record goods in transit, goods placed into customs warehouses or goods for temporary admission. Data sources: The statistical information is mainly provided by the traders on the basis of Customs (extra-EU) and Intrastat (intra-EU) declarations. Data are collected by the competent national authorities of the Member States and compiled according to a harmonised methodology established by EU regulations before transmission to Eurostat. Classification systems: - Product classification: For detailed data, products are disseminated according to the Combined Nomenclature (CN8), which first six digit codes coincide with the Harmonized Commodity Description and Coding System (HS), products are disseminated as well according to the Standard International Trade Classification (SITC) and the Broad Economic Categories (BEC). - Country classification: The Geonomenclature is used for classifying reporting countries and trading partners. Nomenclatures and correspondence tables are available at the Eurostat’s classification server RAMON. The following basic information is provided by Eurostat: - reporting country, - reference period, - trade flow, - product, - trading partner - mode of transport. Detailed data are disseminated according to the Combined Nomenclature (HS2, HS4, HS6 and CN8 levels) for the following indicators: - trade value (in Euro), - trade quantity in 100 kg, - trade quantity in supplementary units (published for some goods according to the Combined Nomenclature). Aggregated data cover both short and long term indicators. Short term indicators are disseminated according to major SITC and BEC groups for the following indicators: - gross and seasonally adjusted trade value (in million Euro), - unit-value indices, - gross and seasonally adjusted volume indices, - growth rates of trade values and indices. Long term indicators are disseminated according to major SITC groups for the following indicators: - trade value (in billion Euro), - shares of Member States in EU and world trade, - shares of main trading partners in EU trade, - volume indices. Adjustments are applied by the Member States to compensate the impact of exemption thresholds, which release the information providers from statistical formalities, as well as, to take into account the late or not response of the providers. In addition, Eurostat applies seasonal adjustments to aggregated time series.

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 focussing 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) 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.

Trade in recyclable raw material shows the amounts (in mass unit) and the monetary value (in Euro) of total wastes that are shipped across intra- and extra EU borders. The dataset includes following variables: Imports to EU countries of recyclable raw materials (in order to characterise intra-EU trade);Imports from non-EU countries and exports to non-EU countries of recyclable raw materials (in order to characterise trade of the EU with the rest of the world).Exports to EU countries of recyclable raw materials, (in order to characterise trade among EU countries). Data are disaggregated by EU-Member State and by category of material, following the classification provided by the JRC (see list of CN-codes used). This dataset is taken from International Trade in Goods Statistics (ITGS) published by Eurostat. The data measure both the monetary value and the physical quantity of goods traded between the EU Member States (intra-EU trade) and of goods traded by the EU Member States with non-EU countries (extra-EU trade). ‘European’ means that the statistics are compiled on the basis of the concepts and definitions set out in EU legislation. ‘National’ statistics, i.e. statistics published at national level by the Member States, are compiled on the basis of national rules which may differ from EU rules. Product coverage: The scope of the “recyclable raw material” is defined and approximated in terms of relevant product codes selected from the list of Combined Nomenclature codes used in International Trade in Goods Statistics. They are grouped according to JRC classification which provides a breakdown for the following material classes: PlasticPaper and cardboardPrecious metalIron and steelCopper, aluminium and nickel

The Trade in Value Added (TiVA) database consists of a set of measures that aim to provide better insights into global production networks and supply chains than is possible with conventional trade statistics.   The Origin of value added in final demand presented here, is derived from the latest version of OECD’s Inter-Country Input-Output (ICIO) database and provides estimates of final demand in country c for industry i final goods and services, broken down by the value added originating from source industry j in source country s.   In other words, it reveals how the value of final demand goods and services consumed within a country is an accumulation of value generated by many industries in many countries.   For a description of the method used for calculating these estimates using the ICIO   Domestic value added origin is shown where source country s = c and, for convenience, also represented by source country = “DXD: Domestic”.   From this data cube, a range of final demand-based measures can be derived including those in TiVA principal indicators cube such as: • Domestic value added embodied in foreign final demand, FFD_DVA and related partner shares FFD_DVApSH. • Foreign value added embodied in domestic final demand, DFD_FVA and related partner shares DFD_FVApSH.

The Trade-in Value Added (TiVA) database consists of a set of measures that aim to provide better insights into global production networks and supply chains than is possible with conventional trade statistics.   The Origin of value-added in gross imports presented here is derived from the latest version of OECD’s Inter-Country Input-Output (ICIO) database. It provides estimates of gross imports by country c of goods and services from industry in partner country/region p broken down by value-added originating from source country/region s.   In other words, the four dimensions link the imports of country c to the value-added from source country s embodied in the exports of industry in the exporting country p - thus revealing how the value of a country’s gross imports of intermediate and final products from a particular partner is an accumulation of value generated by many countries.   For a description of the method used for calculating these estimates, using the ICIO   From this data cube, a range of gross imports-based measures can be derived including the following found in the main TiVA indicators database: • Total gross imports by industry, IMGR (c, i): set exporting country p = World and source country s = World. • Domestic value-added content of gross imports by partner and industry, IMGR_DVA (c, i, p): set source country s = importing country c. • Share of IMGR_DVA in relation to IMGR: IMGR_DVAsh (c, i, p).   Note that the same value-added originating from source country s can be present in the gross imports of more than one importing country c (as embodied value-added, from upstream production, may cross national borders many times). In general, therefore, these estimates should be viewed from the perspective of an importing country c.

Trade Statistics of Bosnia and Herzegovina

Monthly raw data are processed at the most detailed level in order to calculate elementary unit-values defined by trade value/quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using the Laspeyres, Paasche and Fisher formulae. Finally, the Fisher unit-value indices are chained back to the reference year (2015 = 100) and are used to approximate the import and export price movements.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Construction (CC). All data under this heading are index data. Percentage changes are also available for each indicator. The index data are generally presented in the following forms: UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesCONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Output prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesSERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

The “Business services statistics” (BS) collection contains harmonised statistics on business services. BS is a driver of the knowledge-based economy and their labour-intensive nature has attracted interest in their potential as providers of new jobs in the future. Contributing to the recent increase in the demand for business services, the growing trend in outsourcing has seen many enterprises use service providers for non-core professional activities. Technological progress and the Internet are also important factors which have provided new production possibilities and new modes of supply. Due to its growing importance, BS data are collected since 2000 reference year. The data were collected under Gentlemen agreement until 2007 reference year and from 2008 onwards it become part of the regular mandatory annual data collection of SBS. The BS’s data requirements before 2008 reference year included more variables, but data is available only for a small number of countries. The following variables are available until 2007 reference year: Number of enterprisesTurnover or gross premiums writtenValue added at factor costPersonnel costsNumber of persons employedNumber of employeesNumber of part-time employees The “Turnover or gross premiums written” variable is broken down by product and residence of client. In addition, there is information on the turnover shares of product and client specialised enterprises. The statistics on “Turnover by product” permits analyses on each product's relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by client” enables analyses on type and location of client and client specialisation. The economic variables make it possible to extend the analysis to productivity and personnel cost issues. From 2008 onwards, the BS’s data requirements are only for variable “Turnover” broken down by products and by type of residence of client. The majority of the data is collected annually by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources.

Short-term statistics (STS) give information on a wide range of economic activities according to NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community). The industrial import price indices offer information according to the CPA classification (Statistical Classification of Products by Activity in the European Economic Community). Construction indices are broken down by Classification of Types of Constructions (CC). All data under this heading are index data. Percentage changes are also available for each indicator: Infra-annual percentage changes - changes between two consecutive months or quarters - are calculated on the basis of non-adjusted data (prices) or seasonally adjusted data (value and volume indicators) and year-on-year changes - comparing a period to the same period one year ago - are calculated on the basis of non-adjusted data (prices and employment) or calendar adjusted data (volume and value indicators). The index data are generally presented in the following forms: UnadjustedCalendar adjustedSeasonally adjusted Depending on the STS regulation data are accessible as monthly, quarterly and annual data. This heading covers the indicators listed below in four different sectors. Based on the national data, Eurostat compiles EU and euro area infra-annual economic statistics. Among these, a list of indicators, called Principal European Economic Indicators (PEEIs) has been identified by key users as being of prime importance for the conduct of monetary and economic policy of the euro area. These indicators are mainly released through Eurostat's website under the heading Euro-indicators. There are eight PEEIs contributed by STS and they are marked with * in the text below. INDUSTRYProduction (volume)*Turnover: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic turnover into euro area and non euro area is available for the euro area countriesProducer prices (output prices)*: Total, Domestic market and Non-domestic market==> A further breakdown of the non-domestic producer prices into euro area and non euro area is available for the euro area countriesImport prices*: Total, Euro area market, Non euro area market (euro area countries only)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesCONSTRUCTIONProduction (volume)*: Total of the construction sector, Building construction, Civil EngineeringBuilding permits indicators*: Number of dwellings, Square meters of useful floor (or alternative size measure)Construction costs or prices: Construction costs, Material costs, Labour costs (if not available, they may be approximated by the Producer (output) prices variable)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesWHOLESALE AND RETAIL TRADEVolume of sales (deflated turnover)*Turnover (value)Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesSERVICESTurnover (in value)*Labour input indicators: Number of persons employed, Hours worked, Gross wages and salariesProducer prices (Output prices )* National reference metadata of the reporting countries can be found in the Annexes of this metadata file.

Unit-values are defined by: trade value / quantity. These unit-values are divided by the average unit-value of the previous year to obtain elementary unit-value indices, from which outliers are detected and removed. Elementary unit-value indices are then aggregated over countries and commodities, by using formulae. Finally, the unit-value indices are chained back to the reference year (2015 = 100) and used to approximate the import and export price movements.

The Economic Accounts for Agriculture (EAA) provide detailed information on income in the agricultural sector. The purpose is to analyse the production process of the agricultural industry and the primary income generated by this production. The accounts are therefore based on the industry concept. The EAA accounts are detailed data on value of output (producer prices and basic prices), intermediate consumption, subsidies and taxes, consumption of fixed capital, rent and interests, capital formation etc. The values are in current as well as in constant prices. Agricultural Labour Input (ALI) and Unit Values (UV) are an integrated part of the overall concept of Economic Accounts for Agriculture. The Economic accounts for agriculture (EAA) are a satellite account of the European System of Accounts (ESA2010), providing complementary information and concepts adapted to the particular nature of the agricultural industry. Although their structure very closely matches that of the national accounts, their compilation requires the formulation of appropriate rules and methods. National Statistical Institutes or Ministries of Agriculture are responsible for data collection and calculation of national EAA, in accordance with EC Regulations. Eurostat is responsible for the EU aggregations. Regional data EAA accounts are compiled at regional level (NUTS2), but only in values in current prices. The labour input data and Unit values are not broken down to regional level. Please note that for paragraphs where no metadata for regional data has been specified, the regional metadata is identical to the metadata provided for the national data. Frequency of data collection for data under Regulation (EC) 138/2004 and gentlemen's agreement, deadline for transmission for years 2015-2016.

Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS are transmitted annually by the EU Member States on the basis of a legal obligation from 1995 onwards.   SBS covers all activities of the business economy with the exception of agricultural activities and personal services and the data are provided by all EU Member States, Norway and Switzerland, some candidate and potential candidate countries. The data are collected by domain of activity (annex) : Annex I - Services, Annex II - Industry, Annex III - Trade and Annex IV- Constructions and by datasets. Each annex contains several datasets as indicated in the SBS Regulation. The majority of the data is collected by National Statistical Institutes (NSIs) by means of statistical surveys, business registers or from various administrative sources. Regulatory or controlling national offices for financial institutions or central banks often provide the information required for the financial sector (NACE Rev 2 Section K / NACE Rev 1.1 Section J). Member States apply various statistical methods, according to the data source, such as grossing up, model based estimation or different forms of imputation, to ensure the quality of SBSs produced. Main characteristics (variables) of the SBS data category: Business Demographic variables (e.g. Number of enterprises)"Output related" variables (e.g. Turnover, Value added)"Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Total of purchases); capital input (e.g. Material investments) All SBS characteristics are published on Eurostat’s website by tables and an example of the existent tables is presented below: Annual enterprise statistics: Characteristics collected are published by country and detailed on NACE Rev 2 and NACE Rev 1.1 class level (4-digits). Some classes or groups in 'services' section have been aggregated.Annual enterprise statistics broken down by size classes: Characteristics are published by country and detailed down to NACE Rev 2 and NACE Rev 1.1 group level (3-digits) and employment size class. For trade (NACE Rev 2 and NACE Rev 1.1 Section G) a supplementary breakdown by turnover size class is available.Annual regional statistics: Four characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 and NACE Rev 1.1 division level (2-digits) (but to group level (3-digits) for the trade section). More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2008 is defined in Commission Regulation N° 251/2009. For previous reference years it is included in Commission Regulations (EC) N° 2701/98 and amended by Commission Regulation N°1614/2002 and Commission Regulation N°1669/2003. Several important derived indicators are generated in the form of ratios of certain monetary characteristics or per head values. A list with the available derived indicators is available below in the Annex.

Supply balance sheets cover cereals, sugar and wine. All other supply balance sheets have been discontinued. The year 2013 is the last year for the supply balance sheets on cereals and sugar. Only the wine supply balance sheets will continue in the future. The supply balance sheets are produced in a summary table form showing uses and resources for each balance sheet commodity for: a defined type of product,a given reference period,a geographically delimited territory. Each balance refers to all uses and all transactions which have occurred on the market between harvesting or production (finished product) and the wholesale stage (just before reaching the retail and consumer market). The general scheme is the following:

Data cited at: The World Bank https://datacatalog.worldbank.org/ Topic: World Integrated Trade Solution Trade Stats Publication: https://datacatalog.worldbank.org/dataset/world-integrated-trade-solution-trade-stats License: http://creativecommons.org/licenses/by/4.0/   WITS Trade Stats is a database created by aggregating data from UN COMTRADE and UNCTAD TRAINS database. It provides information on bilateral trade exports, imports and tariffs for over 180 countries and regions.  

Note: For each annual publications, missing dates in source, we have considers as report date for not loosing any data for the country.  World Tariff Profiles, a joint publication of the WTO, International Trade Centre (ITC) and the United Nations Conference on Trade and Development (UNCTAD), provides comprehensive information on the tariffs and non-tariff measures imposed by over 170 countries and customs territories. Binding coverage: Share of HS six-digit subheadings containing at least one bound tariff line. Full binding coverage is indicated by 100 without further decimals. If some tariff lines are unbound but the result still rounds to 100 this is reflected by maintaining one decimal, i.e. 100.0. Simple average: Simple average of the ad valorem or AVE HS six-digit duty averages. Duty-free: Share of duty-free HS six-digit subheadings in the total number of subheadings in the product group. Partially duty-free subheadings are taken into account on a pro rata basis. Share of HS six-digit subheadings subject to non-ad valorem duties. When only part of the HS six-digit subheading is subject to non-ad valorem duties the percentage share of these tariff lines is used. Non-ad valorem duties: Share of HS six-digit subheadings subject to ad valorem duties or AVEs greater than 15 per cent. When only part of the HS six-digit subheading is covered by such duties, the calculation is done on a pro rata basis. Duties > 15 %: Share of HS six-digit subheadings subject to ad valorem duties or AVEs greater than three times the national average. When only part of the HS six-digit subheading is covered by such duties, the calculation is done on a pro rata basis. Duties > 3 * AVG: Share of HS six-digit bound subheadings not yet implemented in 2017. When only part of the HS six-digit subheading is covered by such duties the calculation is made on a pro rata basis. Maximum duty: Maximum tariff line level ad valorem duty or AVE. Number of distinct duty rates: Number of distinct duty rates. Non-ad valorem duties are always treated as distinct because AVE calculations would always yield distinct AVEs. For this indicator, however, duties not provided are not included in the count. Coefficient of variation: Standard deviation of tariff line duty rates divided by the simple tariff line level average of all duty rates. Includes only ad valorem duties or AVEs. Number of MFN applied tariff lines: Total number of MFN applied tariff lines.