Structural business statistics (sbs)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistisches Bundesamt (Destatis)


Eurostat metadata
Reference metadata
1. Contact
2. Metadata update
3. Statistical presentation
4. Unit of measure
5. Reference Period
6. Institutional Mandate
7. Confidentiality
8. Release policy
9. Frequency of dissemination
10. Accessibility and clarity
11. Quality management
12. Relevance
13. Accuracy
14. Timeliness and punctuality
15. Coherence and comparability
16. Cost and Burden
17. Data revision
18. Statistical processing
19. Comment
Related Metadata
Annexes (including footnotes)



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1. Contact Top
1.1. Contact organisation

Statistisches Bundesamt (Destatis)

1.2. Contact organisation unit

Department E "Businesses, Earnings, Transport"

1.5. Contact mail address

c/o Referat E 31

Gustav-Stresemann-Ring 11

65189 Wiesbaden

Germany


2. Metadata update Top
2.1. Metadata last certified 31/08/2023
2.2. Metadata last posted 31/08/2023
2.3. Metadata last update 31/08/2023


3. Statistical presentation Top
3.1. Data description

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 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. 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. Number of employees and self-employed persons, Hours worked by employees); goods and services input (e.g. Purchases of goods and services); capital input (e.g. Gross investments)

Business services statistics (BS) collection contains harmonised statistics on business services. From 2008 onwards BS become part of the regular mandatory annual data collection of SBS. The BS’s data requirement includes variable “Turnover” broken down by products and by type of residence of client. 

The annual regional statistics collection includes three characteristics due by NUTS-2 country region and detailed on NACE Rev 2 division level (2-digits).

3.2. Classification system

Statistical Classification of Economic Activities in the European Community (NACE):  NACE Rev.2 is used from 2008 onwards. Key data were double reported in NACE Rev.1.1 and NACE Rev.2 only for 2008. From 2002 to 2007 NACE Rev. 1.1 was used and until 2001 NACE Rev.1

The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statistics (NUTS). 

The product breakdown is based on the Classification of Products by Activity (CPA) as stated in the Regulation establishing CPA 2008 and its amending Commission Regulation (EU) No 1209/2014 (from reference year 2015 onwards).

3.3. Coverage - sector

Starting reference year 2021 onwards SBS cover the economic activities of market producers within the NACE Rev. 2 Sections B to N, P to R and Divisions S95 and S96.
Until 2007 the SBS coverage was limited to Sections C to K of NACE Rev.1.1 and from the reference year 2008 to 2020 data was available for Sections B to N and Division S95 of NACE Rev.2.

From 2008 reference year the data collection Business services covers NACE Rev 2 codes: J62, N78, J582, J631, M731, M691, M692, M702, M712, M732, M7111, and M7112.
From 2013, as the first reference year, to 2020 information is published on NACE codes K6411, K6419 and K65 and its breakdown.

3.4. Statistical concepts and definitions

SBS constitutes an important and integrated part of the new European Business Statistics Regulation N° 2152/2019

Data requirements, simplifications and technical definitions are defined in Commission Implementing Regulation (EU) 2020/1197

3.5. Statistical unit

From the 2018 reporting year onwards, results for enterprises are shown in SBS in accordance with the EU definition of enterprises as stipulated in the Council Regulation (EEC) No 696/93. These enterprises represent the presentation units for SBS.

According to the EU enterprise definition, an 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 resources. An enterprise carries out one or more activities at one or more locations. An enterprise may correspond to a single legal unit ("simple enterprise") or consist of several legal units ("complex enterprise").

The enterprise according to the EU definition is the central presentation unit of business sector-specific SBS. The legal unit will still work as survey unit for SBS.

3.5.1. Treatment of complex enterprise
  Data treatment 
Sample frame based on enterprises no
Surveying all legal units belonging to a complex enterprise no
Surveying all legal units within the scope of SBS belonging to a complex enterprise no
Surveying only representative units belonging to the complex enterprise no
Other criteria used, please specify Surveying only by a sample of legal units within the scope of SBS belonging to a complex enterprise or to a simple enterprise. Due to this, imputation for missing values may be necessary.
Comment  not applicable
3.5.2. Consolidation
  Consolidation method
Consolidation carried out by the NSI yes
Consolidation carried out by responding enterprise/legal unit(s) no
Other methods, please specify  not applicable
Comment Due to technical difficulties in reporting year 2021, consolidation in economic sector K, P, Q, R and S96 was not possible. The characteristics concerned were treated as additive characteristics.
3.6. Statistical population

The statistical population comprises all relevant statistical units in the respective NACE Rev. 2 Sections according to the national Business Register (BR).

3.7. Reference area

The results for the enterprise are determined for Germany as a whole.

3.8. Coverage - Time

Reference year 1996 to 2021.

3.9. Base period

Not applicable.


4. Unit of measure Top

• Number of enterprises and number of local units are expressed in units.

• Monetary data are expressed in millions of €.

• Employment variables are expressed in units.

• Per head values are expressed in thousands of € per head. 

Ratios are expressed in percentages.


5. Reference Period Top

Reference year 2021 (calendar year).


6. Institutional Mandate Top
6.1. Institutional Mandate - legal acts and other agreements

Starting with reference year 2021 two new regulations currently form the legal basis of SBS:

Year 1995 was the first year for the implementation of the Council Regulation No 58/97 (SBS Regulation).

The Council Regulation No 58/97 has been amended three times: by Council Regulation No 410/98, Commission Regulation No 1614/2002 and European Parliament and Council Regulation No 2056/2002. As a new amendment of the basic Regulation it was decided to recast the Regulation No 58/97 in order to obtain a new "clean" legal text. In 2008 the European Parliament and Council adopted Regulation No 295/2008 and the provisions of this Regulation were applicable from the reference year 2008 to reference year 2020. Regulation No 295/2008 was amended by Commission Regulation (EU) No 446/2014.

6.2. Institutional Mandate - data sharing

Not applicable.


7. Confidentiality Top
7.1. Confidentiality - policy

Article 16 of the Federal Statistics Act (Bundesstatistikgesetz [BStatG]) guarantees confidentiality. It is strictly followed. Respondents must be informed about their rights and obligations when providing statistical information. Furthermore, individual data are only used for statistical purposes and, subject to non-disclosure and data protection measures, for scientific purposes.

7.2. Confidentiality - data treatment

Methods of primary and secondary data confidentiality are applied by automatic procedures. Additional checks to reduce the number of confidential cells are regularly applied every reference year.

In primary confidentiality, a cell is suppressed amongst others for the following cases:

a) The cell contains data for less than three units (minimum-case-rule).

b) The largest contribution value can be estimated knowing the second largest contribution value, under the condition that the deviation of the estimated contribution value is less than 5% of the largest contribution value (p-percent-rule).

For secondary confidentiality, automated suppression is performed for cross-tables using TauArgus software.

7.2.1. Confidentiality processing
  Data treatment 
Confidentiality rules applied  yes
Threshold of number of enterprises (Number)  3
Number of enterprises non confidential, if number of employments is confidential  yes
Dominance criteria applied  yes
If dominance criteria applied specify the threshold (Number)  5
Secondary confidentiality applied  yes
Comment  not applicable


8. Release policy Top
8.1. Release calendar

Not applicable.

8.2. Release calendar access

Not applicable.

8.3. Release policy - user access

SBS data are simultaneously released to all users. There is no privileged pre-release access to any outside user according to Principle 6.7 of the European Statistics Code of Practice. Since all users have equal access to statistical releases, impartiality is respected.

SBS data are transmitted to Eurostat before they are disseminated at national level.

SBS data are available on Destatis' database “GENESIS-Online” (code 48112) for all users. After registration, users are informed via email when new data are available.

Additional information is provided on request.


9. Frequency of dissemination Top

Annual.


10. Accessibility and clarity Top
10.1. Dissemination format - News release

Not applicable.

10.2. Dissemination format - Publications

Not applicable.

10.3. Dissemination format - online database

Dissemination of GENESIS online database takes place annually. A general link is included below.

After using the link the following code for SBS has to be included: 48112. Two different tables are available:

1. Enterprises with 1-4 digit hierarchy,

2. Enterprises with 1-4 digit codes, separately.



Annexes:
Database of the Federal Statistical Office of Germany
10.4. Dissemination format - microdata access

Not applicable.

10.5. Dissemination format - other

Data are sent to Eurostat to be disseminated in European aggregates. Data will also be released as national data, with additional characteristics such as changes in stocks as well as rents and leases.

10.6. Documentation on methodology

Information on general methodology can be found in annex "New EU Definition of Enterprise as Statistical Unit_Theory and Implementation" below.



Annexes:
New EU Definition of Enterprise as Statistical Unit_Theory and Implementation
10.7. Quality management - documentation

Destatis has committed itself to assure and further enhance the quality already attained. Consequently, Destatis implemented comprehensive quality guidelines. To assure quality in the longer terms, Destatis applies a variety of systematic quality assurance measures, among others the European Statistics Code of Practice. Furthermore, Destatis has introduced a comprehensive quality management system based on Total Quality Management (TQM). The conceptual framework is the EFQM (European Foundation for Quality Management) Excellence Model.


11. Quality management Top
11.1. Quality assurance

The quality of SBS with enterprises is ensured during and at the end of the processing of results on the enterprise in accordance with the EU enterprise definition through extensive validation processes and consistency checks. These measures are based on internal statistical analyses and on an application provided by Eurostat for checking data quality and confidentiality. The quality of the results depends largely on the quality assurance measures taken in the individual annual SBS for surveys.

Further information can be found below in the attached quality report (Bereichsuebergreifende Unternehmensstatistik) on SBS 2021, only available in German language.



Annexes:
Bereichsuebergreifende Unternehmensstatistik
11.2. Quality management - assessment

Quality checks are conducted through the entire production process which is evaluated permanently. Beyond that, Destatis has implemented a controlling system to monitor compliance with standard European quality criteria. The results of this controlling mechanism are for internal purposes only. Therefore, they are not published. In general, the evaluation of quality is in line with the quality criteria of Commission Regulation (EC) No 834/2009.

The assessment of quality of SBS aims at the quality of data resources on the basis of legal units. It is part of surveys for individual economic sector-specific statistics. A quantification of the sampling-related error is done by calculating a relative standard error. Non-sampling errors can occur at all stages of the data collection and compiling process. For instance, it can be related to sample frames or to non-responses from respondents. As full compliance has been confirmed by Eurostat for reference year 2020, the overall quality of SBS can be assessed as being high.


12. Relevance Top
12.1. Relevance - User Needs

Main users of SBS at international level are the European Central Bank and the European Commission. At national level the Deutsche Bundesbank, the Federal Ministry for Economic Affairs and Energy, trade associations, research institutes, accounting frameworks and STS production units are the most important users.

Since national users demand a more specific classification of SBS data, data published at the national level can be different from the data sent to Eurostat. Such additional user needs are, for instance, additional size classes or subsidies in Services statistics.

12.2. Relevance - User Satisfaction

Destatis regularly meets main users in committees of experts that cover specific NACE Rev. 2 Sections. These committees assess existing and new user needs. Since 2020 a Technical Committee (Fachausschuß Unternehmensstatistiken) discusses internally the results of surveys related to user's satisfaction.

12.3. Completeness

SBS requirements according to the EU regulations and national laws are fulfilled.


13. Accuracy Top
13.1. Accuracy - overall

An assessment of the accuracy of SBS for enterprises according to the EU enterprise definition can only be made with the introduction of a new resilient error calculation (currently still under development). The current quality indicators according to Commission Regulation (EU) No 275/2010 can only be calculated for legal units in SBS.

A statement on accuracy of data sources for SBS refers to survey units in the form of legal units of individual business sector-specific SBS. Extensive examinations have been carried out in order to ensure the accuracy of the data transmitted by the respondents. The participation in surveys is mandatory. Therefore, a bias due to selective survey participation is ruled out. Biased results, due to extrapolation methods, are not expected.

Main sources for errors as well as potentials for bias are induced by survey data. All sample surveys are affected by uncertainty and the sampling error increases with the level of detail. As regards non-sampling errors, under-coverage or over-coverage, falsely classified units in the sample frame as well as unit or item non-response may occur.

Quality indicators, including coefficients of variation for variables and weighted unit non-responses, for legal units in SBS by NACE aggregates were implemented according to Commission Regulation (EU) No 275/2010. For calculating these indicators, the SAS program “CLAN” by Statistics Sweden is used.

13.2. Sampling error

SBS surveys on legal units are based on stratified random samples. In Trade and Services statistics, results are grossed up by free extrapolation. This method is also applied for units with less than 20 persons employed in Industry and Construction. If units have 20 or more persons employed in Industry and Construction, results are extrapolated using benchmark figures for each combination of activity class and size class (employment). These benchmark figures are based on results from the investment survey, a complete census for legal units with 20 or more persons employed. In the majority of cases the sampling error is negligible or small. Exceptions regard e. g. the net turnover for certain employment size classes in NACE B, C, D and F. 

13.3. Non-sampling error

For SBS surveys on legal units the non-sampling error is small. More details on unit non-response, coverage errors and out-of-scope units are shown below.

Unit non-response

Unit non-response is compensated by adapting the extrapolation factors using correction factors for each stratum. In order to minimize unit non-response, proactive measures such as optimizing the questionnaire design (including pre-testing), enabling online reporting methods and using advanced controls for incoming data have been implemented. If data are incomplete, reminders are sent from the Statistical Offices. The response is obligatory. Otherwise, fines can be imposed up to EUR 5,000. Non-response rates are weighted by variable 220101 (Number of employees and self-employed persons). If no information on this variable is available from the BR, the sum of employees plus one person is used. A separate weighting is used for variable 260101 (Gross investment in tangible non-current assets) since this characteristic originates from a different survey. Consequently, there are different non-response rates. Overall, the unit non-response rate is evaluated as low. The bias is small (with a limited effect in the overall accuracy of the estimate).

Coverage errors

The impact of coverage errors in the BR on the quality of the key statistics is assessed as low in Industry and Construction and as medium in Trade and Services. The business register matches the SBS reference year at the time when the sample is drawn.

Out-of-scope units

Out-of-scope units are detected by including specific questions in the survey, having direct contact to the unit and/or doing internet research (e.g. commercial register). Out-of-scope units are excluded from the survey to prevent systematic over-coverage. In Industry and Construction, current information on the number and relevance of these cases are not available. However, earlier examinations of the BR have shown that the relevance of over-coverage is negligible.


14. Timeliness and punctuality Top
14.1. Timeliness

SBS for enterprises are calculated annually for reporting year t.

Data collection for legal units takes place t+15 months after the end of the reference period.

Data transmission to Eurostat covers final results for enterprises at time t+18 months. Data dissemination at national level takes place at t+19 months onwards.

14.2. Punctuality

Generally, all transmission deadlines are met.

Due to data delay from surveys and to technical difficulties within SBS process steps, SBS data for reference year 2021 could only be sent one month after the official data delivery deadline. Data dissemination at national level was delayed as well.


15. Coherence and comparability Top
15.1. Comparability - geographical

The same statistical concepts are applied in the entire national territory. There is no publication of SBS by federal states.

15.2. Comparability - over time

A comparison over time of the cross-sectoral business statistics is possible in principle.

However, it should be noted that due to the expansion covering economic sectors K, P, Q, R, S96 from the reporting year 2021 onwards, direct comparability with the previous year is not possible in the economic sectors mentioned.

15.2.1. Time series
  Time series 
First reference year available (calendar year)  2018
Calendar year(s) of break in time series  2021
Reason(s) for the break(s)  New NACE K, P, Q, R, S96.
Length of comparable time series (from calendar year to calendar year)  2018 - 2021
Comment

not applicable

15.3. Coherence - cross domain

SBS can be described as largely coherent with cross-domain enterprise statistics, such as Business Demography (BD). SBS will further improve the coherence to BD, continuously.

Coherence with National Accounts (NA) or Labour Force Survey (LFS) is currently not revised due to different methodological approaches.

15.4. Coherence - internal

SBS can be described as coherent internally.


16. Cost and Burden Top

Destatis use the International Standard Cost Model to measure administrative costs.

To reduce the burden for respondents (legal units), the cost structure surveys, for instance, in Industry and Construction are sample surveys. In a regular period of time (one year; four years) a new sample is drawn in order to replace the survey unit. Legal units with less than 20 persons employed receive a shortened version of the questionnaire, which significantly reduces the burden for small legal units.

As SBS for enterprises are secondary statistics (see 18.5), there are no additional cost or burden for respondents.


17. Data revision Top
17.1. Data revision - policy

On national level Germany does not publish any preliminary results of SBS. Therefore, the data published annually is considered being final. Revisions within individual SBS for survey units or within the SBS processes (profiling, imputation, adjusted grossing-up and consolidation) may necessitate a recalculation of final SBS for enterprises.

17.2. Data revision - practice

A revision of SBS for enterprises is carried out with updated source material for survey units of the revised SBS concerned.


18. Statistical processing Top
18.1. Source data

Data on SBS for enterprises are obtained annually by processing and linking individual data for legal units of the following SBS surveys.

- Investment, structural and cost structure surveys in the manufacturing, mining and quarrying sector,
- Investment and cost structure surveys of legal units in the energy and water supply sector,
- Investment, structural and cost structure surveys in construction and finishing trades,
- Structural surveys in trade and services,
- Statistics of insurance companies, pension funds and pension funds,
- Cost structure statistics in the medical sector.

The SBS data set is based on statistical surveys for legal units with the following details:

Stratification criteria

The applied method is stratified samples. Stratification criteria are activity according to NACE Rev. 2, employment size class (except for Sections G and I), turnover-size-classes (for Sections G and I), and region.

Selection schemes (sampling rates)

Approximately 360,000 units are surveyed in total. In NACE Rev. 2. In Sections B, C and F the effective sampling sizes are 0-9 (persons employed) 3%, 10-19 2%, 20-249 41%, 250-499 75% and 500+100%. In Sections D and E a complete census is carried out. The sampling rate for G to S96 (excluding O and S94) amounts in average to 10.1%

Threshold values

Legal units with less than EUR 17,500 turnover and no employees in a calendar year are not included in the BR and consequently not part of the relevant population. Small legal units are surveyed with a shorter questionnaire if possible (e.g. less than 20 persons employed in Sections B, C and F as well as less than EUR 250,000 turnover in Sections H, I, J, K, L, M, N, P, Q, R, S95 and S96). An estimation procedure provides missing characteristics for SBS.

Additional administrative sources

Data from Deutsche Bundesbank and the Federal Financial Supervision Authority (BaFin) are used as basic data for some characteristics. These data are aggregated by each economic breakdown class, regularly updated and not subject to particular revisions.

Frame

The frame for SBS is the Business Register. The BR is updated regularly. A fixed frame is produced annually. Assignment of principal and secondary activities is applied according to the provisions of NACE Rev. 2 (value added). If no information on value added is available, the assignment is based on persons employed (Sections B to F) and turnover (Sections G to S96 (excluding O and S94)). A top-down method is used for identifying activities. The unit’s principal activity is checked annually with regard to the stability rule.

18.1.1. Data sources overview
  Data sources overview
Survey data yes
VAT data no
Tax data no
Financial statements no
Other sources, please specify  Data on NACE K from German Bank.
Comment

not applicable

18.2. Frequency of data collection

Annual data collection.

18.3. Data collection

In SBS surveys, specific web-based questionnaires are used. They include data checking during the input process. Reporting via electronic questionnaires is obligatory. In exceptional cases, paper-based questionnaires may be requested. Missing responses are requested by telephone and postal or email reminders.

18.4. Data validation

Generally, data are checked by the Statistical Offices of the Federal States before they are transmitted to Destatis. Plausibility checks are jointly developed by Destatis and the Statistical Offices of the Federal States. Still, Destatis is able to check the plausibility of data and, if necessary, to contact the survey unit directly. As regards administrative data, Destatis can also check the plausibility of data, whereas the reporting legal unit cannot be contacted.

Data checking and editing comprise several steps of completeness checks (data integrity rules), validity checks (internal consistency) and plausibility checks. First completeness and validity checks are already conducted during the data input process. The Statistical Offices of the Federal States check for unit-non-response and enforce, if necessary, compliance with the response obligation.

A variety of comprehensive plausibility checks are carried out for each response (micro data validation), among others by using information from the previous reporting year, from other surveys (e.g. investment survey or short-term-statistics) and from the Business Register. Implausible figures maybe corrected automatically for small units whose impact on results is negligible. After extrapolating, the figures are subject to final plausibility checks (macro data validation), e.g. by checking significant ratios and taking into account the economic activity and/or the peculiarities of the Federal States.

The approved data for survey units (legal units) will be further processed for profiling, imputation, adjusted grossing-up and consolidation. In each process step resilient data validation checks were established. After final completion of all required validation procedures, the process for data transmission to Eurostat and for publication of SBS for enterprises can be induced.

18.5. Data compilation

SBS for enterprises is based on individual data of legal units determined in the respective business sector-specific surveys. Results are calculated for the enterprise according to the Council Regulation (EEC) No 696/93 basing on process steps such as profiling, imputation, adjusted grossing-up and consolidation. Further information on the process steps are included in theattachment under Chapter 11.1.

18.6. Adjustment

All surveys covering SBS Annexes I to IV refer to the calendar year. In some cases, the financial year of enterprises does not match the SBS reference year. These data are used in SBS without further adjustment.


19. Comment Top

Not applicable.


Related metadata Top


Annexes Top