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Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.

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Structural business statistics (sbs)

Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Eurostat, the statistical office of the European Union

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Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors).
The EU Member States transmit SBS annually to the European Commission (Eurostat) on the basis of European legislation.
SBS covers all activities of the business economy with the exception of agricultural activities, public administration and (largely) non-market services such as education and health. The data are provided by all EU Member States, Iceland, Norway and Switzerland, some candidate and potential candidate countries.
Most 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).
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 active enterprises)
  • "Output related" variables (e.g. Net turnover, Value added)
  • "Input related" variables: labour input (e.g. Employment, Hours worked); goods and services input (e.g. Purchases of goods and services); capital input (e.g. Gross investments)

All SBS characteristics are published on Eurostat’s website in tables. An example of the existent tables is presented below:

  • Annual enterprise statistics broken down by size classes: SBS data are published by country and employment size class (0-9; 10-19;20-49; 50-249; 250 persons employed or more), again broken down by detailed economic activity, group level (3-digits). Additional size classes 0-1 and 2-9 persons employed are available for NACE Rev 2 Sections F to J, L to N and P to R and divisions S95 and S96 only for variables "Number of active enterprises" and "Number of employees and self-employed persons". For trade (NACE Rev 2 Section G) a supplementary breakdown by size class of turnover is available.
  • Annual enterprise statistics: SBS data are published by country and detailed economic activity (NACE Rev 2) class level (4-digits) and special aggregates.
  • Annual/bi-annual business services statistics: "Net turnover by product" and "Net turnover by residence of client" are published by country and detailed down to NACE Rev 2 group level (3-digits). The statistics on “Net turnover by product” permits analysis of products' relative importance in the turnover, consistency of product level statistics and product specialisation. On the other hand, information on “Turnover by residence of client” enables analysis of the type and location of clients and client specialisation.
  • Annual regional statistics: Three characteristics are published by NUTS-2 country region and detailed on NACE Rev 2 division level (2-digits). 

Starting from the reference year 2023, voluntary data in new size classes called Small-Mid Caps (i.e. 250-499 and 500 and more persons employed) of selected SBS variables are transmitted by Member States and published together with legal size classes in a new Eurostat table.

More information on the contents of different tables: the detail level and breakdowns required starting with the reference year 2021 is defined in Commission Regulation 2019/2152 (‘EBS Regulation’) and Regulation (EU) 2020/1197 (‘EBS General Implementing Act’) concerning European Business Statistics.
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 Annexes.

31 January 2025

SBS describe the activity structure, conduct and performance of businesses in the Member States of the European Union (EU). Given their coverage, SBS form the statistical source providing the most comprehensive picture of the European economy, both at national and at aggregated EU level.
Structural Business Statistics (SBS) describe the economy through the observation of the activity of units engaged in an economic activity. They answer such questions as: how much wealth is created in an economic activity? What work force is needed to create this wealth? Is this activity contributing to the growth of the economy? How much investment is realized in this activity?

Regulation (EU) 2019/2152 (on European Business Statistics - EBS) and the Regulation (EU) 2020/1197 (EBS General Implementing Act) are the framework Regulations that cover, in an integrated manner, all domains of European business statistics.

Compared to the data requirements of the previous European Regulation on SBS of 2008, the new EBS Regulation has incorporated the following changes :

  • improve the coverage of the services sector;
  • extend the coverage of collected variables;
  • provide preliminary data by size class for 3 variables;
  • restructure data requirements for the financial and insurance activities sector;
  • apply simplifying measures.

Due to the integrated approach of the EBS Regulation, the statistical domains as previously known are no longer explicitly found there but can be identified at the level of topics and detailed topics, the levels below the new statistical domains. The EBS Regulation distinguishes four statistical domains:


(a) Short-term statistics
(b) Country-level business statistics
(c) Regional business statistics
(d) Statistics on international activities.

 

SBS is embedded in domain b) ‘Country-level business statistics’ and in domain c) ‘Regional business statistics’.

The 45 variables constituting the SBS part of the EBS Regulation can be allocated to 5 topics:

  • Business population;
  • Labour inputs;
  • Purchases;
  • Outputs and performance;
  • Investments.

These topics are further subdivided into 15 detailed topics.
Ten tables define the structure of the actual data requirements of SBS, both at the country level (EBS GIA Tables 10, 11, 21, 22, 23, 24, 25, 27, 28) and at the regional level (EBS GIA table 29).

For variables definitions please refer to Regulation (EU) 2020/1197 (‘EBS General Implementing Act’) - Annex IV - Section II.

Each variable is identified by a 6-digit code.

For Business services statistics

  • the product specialisation is defined as a share of the most important product in the total turnover of an enterprise in the following way:

a) the most important product is consistent with the main activity of the enterprise and

b) the most important product comprises at least 75% of its total net turnover.

  • the client specialisation is defined as a share of the three biggest clients in total turnover:

a) Non-specialised: [0% - 50%]

b) Medium specialised: [50% - 75%]

c) Highly specialised: [75% - 100%]

Only two statistical units apply in SBS: the enterprise for the country-level business statistics data and the local unit for the regional business data.

The definition of an enterprise is provided by the Statistical Unit Regulation (Council Regulation (EEC) No 696 / 93) as follows:
"The enterprise is the smallest combination of legal units that is an organisational 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."

In business statistics, the term enterprise should always be used in the sense of a ‘statistical enterprise’. This means, through definition, one aims to create a statistical unit that would allow one to compile harmonised data, irrespective of the actual organisational and legal structures of the economic agents.
In the past, mainly until reference year 2018, many Member States used the ‘legal unit’ as a proxy for the ‘enterprise’. The transition from the ‘legal unit’ to the ‘enterprise’ may have caused breaks in the series of the SBS characteristics, for example an enterprise consisting of several legal unit will only be counted once and intraflows between the legal units within the enterprise will be eliminated (consolidated) in SBS statistics.

The local unit is defined in the Statistical Unit Regulation as follows:
"The local unit is an enterprises or part thereof (e.g., a workshop, factory, warehouse, office, mine or deport) situated in a geographical identified place. At or from this place economic activity is carried out for which – save for certain exceptions – one or more persons work (even if only part time) for one and the same enterprise."

For more methodological details on statistical units please refer to the European Business Statistics Methodological Manual for Structural Business Statistics - 2024 Edition, Chapter 3, Par.3.3.1, p.59

Structural business statistics (SBS) cover the economic activities of market producers within the business economy NACE Rev. 2 Sections B to N, P to R and Divisions S95 and S96. This includes mining and quarrying, industry, supply and sewerage, construction, trade, and most of the service activities. SBS do not cover agriculture, forestry and fishing, nor public administration and (largely) non-market services such as education and health.

The data category covers EU Member States, Iceland, Norway, Switzerland and some EU Candidate and potential candidate countries. 

SBS data refer to the calendar year and in most cases corresponds to the fiscal year.

The SBS Regulation is an output-oriented Regulation, leaving data providers the choice of data sources. In most countries a combination of survey and administrative data is used. 

  • Monetary data are expressed in millions of €. For annual average exchange rates vis-à-vis the euro please refer to the following tables:
  • Per head values are expressed in thousands of € per head.
  • Per hours values are expressed in € per hour.
  • Ratios of monetary variables are expressed in percentages.
  • Employment variables are expressed in units.

The European aggregate EU27_2020 for European Union includes 27 countries and is available from reference year 2011.

European aggregates are calculated and disseminated twice a year for most characteristics broken down by economic activity and for some characteristics broken down by size class, too.

Whenever those aggregates do not rely on a full coverage, estimates can be published. In these cases such data are flagged with either one or some of following flags:

e:Estimated value (If the difference – calculated as ABS (rounded_value – real_value) / real_value * 100 – is <= 5%);

d: Values refer to rounded estimates based on non-confidential data. Note: difference between aggregates and components can be due to rounding.

Missing data are estimated for the purpose of the calculation of European aggregates only, these estimates are not released. Countries might send data with substantial delays to the regulation deadline. Occasionally, some characteristics or some NACE codes are missing. Eurostat would be unable to release European aggregates if these data were not estimated.

In order to protect confidential data at the national level some of EU aggregates are rounded. This way the confidential data at national level can only be determined with a very high error margin, the EU aggregates are however still acceptably accurate. A consequence of this method to hide confidential national data is that the breakdown of the data for a certain activity level into more detailed activities does not correspond fully with the figure provided for this activity level.

Financial data used generally derive from accounting data.

The Structural Business Statistics (SBS) data are collected through statistical surveys, from the business register or from administrative sources. National Statistical Institutes (NSIs) can use one or several of these sources, according to the survey strategy they have adopted, taking into account the costs, the quality and the response burden on enterprises.

  • Statistical surveys: the NSI sends questionnaires to the enterprises or local units surveyed. They send these questionnaires either to all enterprises (exhaustive survey) or to a sample of enterprises. Very often, samples are used for smaller enterprises while large enterprises are all surveyed. This is called stratified sampling with an inclusion probability depending on size of the unit.
  • Administrative sources: they are typically maintained by the tax and social security authorities. They are used as a source by the NSI to comply with the SBS regulation requirements. Administrative sources have the advantage of reducing the response burden on enterprises; however, in most cases they don't contain all variables required. Moreover, the parameters sampled generally don't coincide exactly with the definition of the statistical characteristics they are used as a proxy of.
  • Business register: it provides the information that can be used for the SBS data collection (number of enterprises) and contains some basic characteristics (NACE activity code, employment, turnover) used for sample stratification, for inference or for calibration.

Annual, however, some specific sector information is available only on a multi-yearly basis.

Preliminary and final data are disseminated respectively 2 and 4 months after legal deadline transmission from the countries. 

Some methodological factors that limit the comparisons across countries can be found in the National metadata at the top right of the page.

To assess the inter-temporal comparability of SBS data, it should be investigated whether the same concepts and methods were applied. In case data are not comparable there might be a break in time series. Particular reasons for breaks in time series in SBS data are the implementation of EBS regulation (for reference year 2021), the implementation of statistical unit enterprise (for most of the countries for reference year 2018), changes in NACE classification (for reference year 2008).