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For any question on data and metadata, please contact: Eurostat user support |
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1.1. Contact organisation | Statistics Denmark |
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1.2. Contact organisation unit | Business Data Collection & Registers |
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1.5. Contact mail address | Sejrøgade 11, 2100 Copenhagen Ø |
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2.1. Metadata last certified | 14/05/2024 | ||
2.2. Metadata last posted | 14/05/2023 | ||
2.3. Metadata last update | 14/05/2023 |
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3.1. Data description | |||
The EuroGroups register (EGR) is the statistical business register of Eurostat and the EU Member States and European Free Trade Association (EFTA) countries for multinational enterprise groups. The purpose of the EGR is to offer to statistical users a tool for coordinating frame population, to derive consistent statistical output with an improved quality in measuring global activities of European enterprises part of multinational enterprise groups. The EGR produces data in yearly cycles and covers microdata on the groups and their enterprises and legal units. The EGR aims to register all multinational enterprise groups that have enterprises in EU Member States or EFTA countries, including European and non-European groups. The Member States, EFTA countries and Eurostat exchange data on multinational enterprise groups and on the units belonging to those groups for the purposes of the European framework for statistical business registers to ensure the quality of the multinational enterprise group’s information in the Union. The EGR brings together microdata on multinational enterprise groups from the EU and the EFTA countries' national statistical institutes, in line with the requirements of the Regulation (EU) No 2152/2019, and from a commercial data source for data outside the EU and EFTA.
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3.2. Classification system | |||
Classification systems and main code lists used in the EGR are as follows:
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3.3. Coverage - sector | |||
The coverage of the data transmitted to the EGR is defined in the Regulation (EU) 2019/2152 on European business statistics. For the purposes of the European framework for statistical business registers, the following economic activities are considered:
Holding assets and/or liabilities are also considered an economic activity. |
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3.4. Statistical concepts and definitions | |||
Global group head The global group head (GGH) of an enterprise group is the parent legal unit that is not controlled either directly or indirectly by any other legal unit. The subsidiary legal units of a subsidiary legal unit are considered to be subsidiaries of the parent legal unit. Global decision centre The global decision centre (GDC) of an enterprise group is the unit where the enterprise group level’s strategic decisions are taken. A group may have several decision-making centres or several units dedicated to a particular internal function, for example accounting or human resources. However, the decisions about the group are made only in the GDC. The GDC may be the GGH or another legal unit under the GGH. Ultimate Controlling Institutional unit The ultimate controlling institutional unit (UCI) of a foreign affiliate means the institutional unit higher up a foreign affiliate’s chain of control that is not controlled by another institutional unit. Activity of unit The principal (or main) activity is the activity that contributes most to the total value added of a unit under consideration. Ideally, the principal activity of the unit should be determined with reference to the value added to the goods and services produced, by applying the top-down method. The top-down method follows a hierarchical principle: the classification of the unit at the lowest level of the classification must be consistent with the classification of the unit at higher levels. The principal activity so identified does not necessarily account for 50 % or more of the unit’s total value added. In the European Union the classification of principal activity is determined by reference to NACE Rev. 2, first at the highest level of classification and then at more detailed levels (top-down method). Number of employees The number of employees represents the average number of persons who were, at some time during the reference period, employees of the statistical unit. Number of employees and self -employed persons The number of employees and self-employed persons is the sum of the Number of employees and Number of self- employed persons. The number of self-employed persons is the average number of persons who were at some time during the reference period the sole owners or joint owners of the statistical unit in which they work. Family workers and outworkers whose income is a function of the value of the outputs of the statistical unit are also included. Net turnover For all activities except for NACE 64, 65 and some activities of NACE 66 net turnover consists of all income arising during the reference period in the course of ordinary activities of the statistical unit, and is presented net of all price reductions, discounts and rebates granted by it. Income is defined as increases in economic benefits during the reference period in the form of inflows or enhancements of assets or decreases of liabilities that result in increases in equity, other than those relating to contributions from equity participants. The inflows referred to are arising from contracts with customers and are realized through the satisfaction by the statistical unit of performance obligations as foreseen in said contracts. Usually, a performance obligation is represented by the sale (transfer) of goods or the rendering of services, however, the gross inflows can also contain revenues obtained as a yield on the use by others of the statistical unit’s assets. Excluded from net turnover are: — all taxes, duties or levies linked directly to revenue; — any amounts collected on behalf of any principal, if the statistical unit is acting as an agent in its relationship with said principal; — all income not arising in the course of ordinary activities of the statistical unit. Usually, these types of income are classified as ‘Other (operating) income’, ‘Financial income’, ‘Extra-ordinary income’ or under a similar heading, depending on the respective set of generally accepted accounting standards used to prepare the financial statements. Infra-annual statistics may not be able to take into account aspects such as annual price reductions, subsidies, rebates and discounts. For the activities of NACE K6411, K6419 and K649 net turnover is defined as the value of output minus subsidies or government grants. For the activities of NACE K642 and K643 net turnover can be approximated by the total operating costs, if net turnover is not available in the financial statements. For the activities of NACE K6511, K6512 and K652 net turnover is defined as Gross premiums earned. For the activities of NACE K653 the net turnover is defined as total pension contributions For activities of NACE K66 for which net turnover is not available in the financial statements, net turnover is defined as the value of output minus subsidies or government grants. For activities of NACE K66 for which net turnover is available in the financial statements, the standard definition of net turnover applies. Total assets Total assets for the entire Group. Principal activity The principal (or main) activity is the activity that contributes most to the total value added of a unit under consideration. Ideally, the principal activity of the unit should be determined with reference to the value added to the goods and services produced, by applying the top-down method. The top-down method follows a hierarchical principle: the classification of the unit at the lowest level of the classification must be consistent with the classification of the unit at higher levels. The principal activity so identified does not necessarily account for 50 % or more of the unit’s total value added. In the European Union the classification of principal activity is determined by reference to NACE Rev. 2, first at the highest level of classification and then at more detailed levels (top-down method). |
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3.5. Statistical unit | |||
The statistical units maintained in the EGR are defined in accordance with the Regulation (EEC) No 696/93 on the statistical units for the observation and analysis of the production system in the Community. The EGR frame contains the following units: Legal units, Enterprises and Multinational enterprise groups. Legal units include: - legal persons whose existence is recognized by law independently of the individuals or institutions which may own them or are members of them, - natural persons who are engaged in an economic activity in their own right. The legal unit always forms, either by itself or sometimes in combination with other legal units, the legal basis for the statistical unit known as the 'enterprise'. Enterprise The enterprise is the smallest combination of legal units that is an organizational unit producing goods or services, which benefits from a certain degree of autonomy in decision-making, especially for the allocation of its current resources. An enterprise carries out one or more activities at one or more locations. An enterprise may be a sole legal unit. Multinational enterprise group A multinational enterprise group is an enterprise group that has at least two enterprises or legal units located in different countries. In business statistics also term ‘global enterprise group’ is used. |
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3.6. Statistical population | |||
The data transmitted to the EGR during the cycle is made of the following datasets.
The data set with information on all incorporated resident legal units for the EGR Identification Service. ISRLE file includes data sets consisting of a full population of resident legal units which means all incorporated resident legal units, belonging to all-resident enterprise groups, and also legal units that are not belonging to any enterprise group are part of the data transmitted. The population of resident legal units is sent to EGR for identification. The data set with information on foreign legal units for the EGR Identification Service. ISNORLE file including an identification of foreign units is prepared in a list of foreign legal units subject for identification, and only knowledge of basic data of the foreign legal units are send, and also basic data of the foreign legal unit where LEIDs are not found are send as well. The population of foreign legal unit recorded in national statistical business register is sent to EGR for identification.
The data set with information on legal units. LEU file including all resident legal units belonging to foreign multinational group and resident legal units belonging to multinational groups with GGH in the country. The resident legal unit belonging to a global enterprise group is sent to EGR for processing.
The data set with information on relationships of ownership and control. REL file including relationships between two resident legal units, and relationships between one resident and one foreign legal unit, and relationships between two foreign legal units from non EU+EFTA countries. Relationships between legal units is sent to EGR for processing:
Relationships in the REL are:
The data set with information on enterprises. ENT file including the characteristics of the. enterprises made of legal unit sent in LEU files is sent to EGR for processing.
The Data set with information on links between enterprises and legal units. LEL file including one-to-one, one-to-many or many-to-one. links between enterprise (ENT) and legal units (LEU) is sent to EGR for processing.
The Data set with information on enterprise groups of which country is the GDC country for the EuroGroups Register. GEG file including group name, group 3-digit NACE code, group total employment, group net turnover, total assets, web address and short description of the group and where the. groups data is sent to the EGR for processing. The groups’ variables are updated after receiving the preliminary frame:
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3.7. Reference area | |||
ISLRLE: Includes only national data in DK. NORLE: Includes units that are cross border and with GDC in DK. |
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3.8. Coverage - Time | |||
The EGR frames are available from reference year 2008 onwards. NSI transmits data for the EGR production cycle since 2013. |
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3.9. Base period | |||
Not applicable |
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The economic variables on employment are recorded in absolute figures. The net turnover for enterprises is recorded in DKK currency. The net turnover and net total asset is recorded in millions in DKK currency. |
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The reference period for data sent to the EGR reflects the picture of 31 December of the given reference year. Data transmitted to EGR during the EGR 2021 cycle includes data for the 2021 reference year. The identification, economic variables (number of employees, turnover and economic activity) refer to the 2021 reference year. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
The content of the national data sent to EGR is defined according the Regulation (EU) 2019/2152 on European business statistics. Commission Implementing Regulation (EU) 2020/1197 of 30 July 2020 is laying down the technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics. |
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6.2. Institutional Mandate - data sharing | |||
The legal framework setting up the procedures for EGR data exchanges and access to confidential data for the purpose of the European framework for statistical business registers are defined in the Regulation (EU) 2019/2152 on European business statistics (Art.10). |
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7.1. Confidentiality - policy | |||
European legislation:
The national legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly include:
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7.2. Confidentiality - data treatment | |||
EGR data are stored by the Commission (Eurostat) and by the national statistical authorities (NSAs) in the EU Member States and EFTA countries in a secure area with restricted and controlled access. The transmission of the EGR data is done in an encrypted form and by electronic means via the Commission (Eurostat) single entry point for exchange of confidential data EDAMIS. Rules applied for treating the data set to ensure statistical confidentiality and prevent unauthorised disclosure are defined according to the policy rules (see section 7.1).
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8.1. Release calendar | |||
Not applicable. |
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8.2. Release calendar access | |||
Not applicable. |
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8.3. Release policy - user access | |||
Not applicable. |
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Not applicable. |
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10.1. Dissemination format - News release | |||
Not applicable. |
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10.2. Dissemination format - Publications | |||
Not applicable. |
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10.3. Dissemination format - online database | |||
Not applicable. |
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10.4. Dissemination format - microdata access | |||
The micro-data exchange of confidential data on multinational enterprise groups and on the statistical units belonging to those groups takes place, exclusively for statistical purposes, between EU Member States and EFTA countries and the European Commission (Eurostat). Where such exchange of confidential data is carried out to ensure the quality of the multinational enterprise groups information in the Union and the exchange is explicitly authorised by the competent NSA which provides the data, national central banks may be party to the exchange of confidential data, exclusively for statistical purposes. NSI exchanges information on multinational enterprise groups with:
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10.5. Dissemination format - other | |||
Not applicable. |
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10.6. Documentation on methodology | |||
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10.7. Quality management - documentation | |||
See below, number 11. |
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11.1. Quality assurance | |||
Eurostat Data Quality Programme monitors the quality and compliance of the data transmitted by the countries to EGR using the instruments of the EBS quality framework. At national level, the quality of the data sent to EGR is assured as follows:
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11.2. Quality management - assessment | |||
The quality assessment procedure includes:
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12.1. Relevance - User Needs | |||
Users internal and external are dependent on the overall quality so data can be used for different statistical purposes etc. |
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12.2. Relevance - User Satisfaction | |||
User satisfaction is very important whether we speak of internal or external users. |
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12.3. Completeness | |||
We are not sure what the answer should be here if the question relates to users of data. |
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13.1. Accuracy - overall | |||
The actions taken to monitor and to improve accuracy of the data sent to EGR are the following:
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13.2. Sampling error | |||
Not applicable. |
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13.3. Non-sampling error | |||
Not applicable. |
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14.1. Timeliness | |||
The EGR process refers to a reference year T and is run yearly over a period of 11 months, between May T+1 and March T+2. |
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14.2. Punctuality | |||
Data is always transmitted on time and always before deadline. |
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15.1. Comparability - geographical | |||
The geographical comparability of national statistical business registers is ensured by the application of common definitions of the statistical units laid down in the Council Regulation (EEC) No 696/93. The SBR variables are harmonised and set up in accordance with the Annex VIII to the Commission Implementing Regulation (EU) 2020/1197 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 on European business statistics. Further guidelines on the variables implementation in the national statistical business registers are given in the EBS methodological manual for Statistical Business Registers (2021 edition). No quality issues. We use the public Danish Address Register DAR for codings of addresses. |
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15.2. Comparability - over time | |||
The comparability over time is done through the frames results
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15.3. Coherence - cross domain | |||
Coherence of data sent to Eurostat with other data sources and statistical domains:
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15.4. Coherence - internal | |||
Data sent to EGR should be internally consistent. There is a set of standard quality checks that are routinely perform at national level before transmitting the data to Eurostat:
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Not available. |
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17.1. Data revision - policy | |||
Not applicable |
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17.2. Data revision - practice | |||
Not applicable |
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18.1. Source data | |||
The national statistical business registers is set up in accordance with EBS Regulation (EU) 2019/2152 using any relevant data sources while avoiding excessive burden on respondents and taking due account of the cost effectiveness of the NSAs. NSI uses the following data sources, including a combination thereof for the national statistical business register:
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18.2. Frequency of data collection | |||
National data sent to EGR annually |
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18.3. Data collection | |||
Data sent to EGR are collected from:
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18.4. Data validation | |||
Statistical analysis of the national statistical business register is carried out to ensure the quality of data and frame populations provided to users. Data validation procedures include:
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18.5. Data compilation | |||
The procedures used to combine data from different sources:
The frame populations and annual copy of national statistical business register are produced as follows:
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18.6. Adjustment | |||
Not applicable. |
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None. |
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