Swiss Federal Statistical Office

WI / MON

                  Swiss Federal Statistical Office
                  Espace de l'Europe 10
                  CH-2010 Neuchâtel

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 2division level (2-digits).

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).

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 2013, as the first reference year, to 2020 information is published on NACE codes K6411, K6419 and K65 and its breakdown.

From 2008 reference year data collection BS covers NACE Rev 2 codes: J62, N78, J582, J631, M731, M691, M692, M702, M712, M732, M7111, and M7112.

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

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

Statistical units as not moved to the new European definition yet: enterprise units is our legal units.

Survey Concept:
Sample survey combined with administrative information
 
administrative sources:

SFO Business Register (Activity Code, Size of Firm, number of employees, legal Form)
 
The extent to which the administrative source are used:
• data source for imputation in case of non-response.
• data source for calibration (calage sur marge) to optimize inference from survey results

Variable used for identifying principal activitiy:
Full time equivalent (up down the NACE 2-digit)

Frequency of updating the unit's pricipal activity:
• Profiling are every quarterly updated
• The 25% of Non-Profiling are yearly updated, in order to have the actualization of 100% of the frame every 4 years

Frequency of updating business register:
• New Register Enterprise: yearly
• Deleting Register Enterprise: yearly
• Number of employed: yearly

Switzerland

1998-2021

Not applicable.

• Number of enterprises and number of local units are expressed in units.
• Monetary data are expressed in thousands of CHF (converted from SBS into EUR)
• Employment variables are expressed in units.
• Per head values are expressed in thousands of CHF per head. (converted from SBS into EUR)

Ratios are expressed in percentages.

2021

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

• Regulation (EU) 2019/2152 repealing 10 legal acts in the field of business statistics (EBS Regulation), and
• Commission Implementing Regulation (EU) 2020/1197 laying down technical specifications and arrangements (general implementing act) pursuant to Regulation (EU) 2019/2152

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.

Not applicable.

Internal paper

Dominance Turnover > 60% (O-Flag), Number of Observation > 5 (A-Flag)

Data ready to eurostat delivery T+18.

Swiss publication T+21.

No other release information published.

Not available

Not available

Annual.

No regular news release

The publication is available on our website (Wertschöpfungsstatistik | Bundesamt für Statistik (admin.ch)) in French and German. The publications include biennial data for comparison and are available from 2009.

Swiss publication available : T+21.

Electronic Publications: https://www.bfs.admin.ch/bfs/de/home/statistiken/industrie-dienstleistungen/wertschoepfungsstatistik.html

Not available

Not available

Methodology: according to revision of the value added statistics occured for 2021 data, a new methodological documentation is still pending to be released.

Electronical Publications:

Revision 2009: Statistische Datenaufbereitung und Hochrechnung

Methodenbericht

Internal paper

Code of Practice

Good

National Accounts

Central Banks

Other Federal Departments

Entreprises

University

No actions regarding users satisfaction

Conform to SBS-EBS Tehcnical disclosure

Details of accuracy are resumed in paragraphs 13.2 and 13.3.

Overall accuracy are guaranteed.

Bias:

• Potential Bias coming from Robustification and non-response
• Small bias (with a limited effect in the overall accuracy) of the estimate

Sample survey

Stratification criteria:
Activity (NACE-2digit) and Employement size clas
 
Threshold value:
cut off number of persons employed >= 3

Statistical Population (SBS CH-Population):
160'723

Sample size:
22'674

Responses:
14'485

Coffecients of Variation: CV computations (Horvitz-Thompson variance)

Methods used for taking into account the unit non -response:

• Weighting: Correction non-response + calibration
• Imputation: BigOne Missing + Consolidated Group responses

Mesures taken for minimising the unit non-response:

• BigOne Listing
• two reminders
• one last telephone reminder

Method use for Quality Review purpose:

• number of persons employed

Bias:

• Potential Bias coming from Robustification and non-response
• Small bias (with a limited effect in the overall accuracy) of the estimate

Impact of the imputation:

• Not important

Coverage errors - Frame: 

• Low

Out-of-scope units: 

• For each survey’s year is used an updated sampling frame and an updated sample. Assuming that the sampling frame is correct, this method should almost avoid to have out-of scope units.

Data-collection: T14

Dissemination in the country: T18

No delay

The same statistical concepts are applied in the entire national territory.

2009-2021

None

-

Not available

Internal Paper

Last revision on 2021

Survey Concept:
Sample survey combined with administrative information
 
Survey:
stratified

Stratification criteria:
Activity (NACE-2digit) and Employement size clas
 
Threshold value:
cut off number of persons employed >= 3

Statistical Population (SBS CH-Population):
166'723

Sample size:
22'674

Responses:
14'485
 
administrative sources:
SFO Business Register (Activity Code, Size of Firm, number of employees, legal Form)
 
The extent to which the administrative source are used:
• data source for imputation in case of non-response.
• data source for calibration (calage sur marge) to optimize inference from survey results

Variable used for identifying principal activitiy:
Full time equivalent (up down the NACE 2-digit)

Frequency of updating the unit's pricipal activity:
• Profiling are every quarterly updated
• The 25% of Non-Profiling are yearly updated, in order to have the actualization of 100% of the frame every 4 years

Frequency of updating business register:
• New Register Enterprise: yearly
• Deleting Register Enterprise: yearly
• Number of employed: yearly

Annual data collection.

Questionnaires used:
5 types of qustionnaries used

Response Channel:
Paper, electonical paper (eSurvey)

Survey procedure:
All respondants contacted with a paper-letters with questionnaires-papers included

Survey cycle:
1) Written-Invitation to participate
2) First remind (written)
3) Second remind (written)
4) Third remind - Phone call to all missing units

Validation rules:
• eSurvey - Respondents rules outside production Databank: First check rules are directly done at the respondent level, before the questionnaire upload into Databank
• Paper - Respondents rules into production Databank: Second check rules are directly done after upload Databank
• Phone call to respondents: in order to validate if data's are not consistent
 
Micro data's rules:
• checked-out paper: Overview after validation with t-1 values (if existing)
• Periodical check micro data's: 3-time every year for global plausibility

Macro data's rules:
• Extrapolated and Not-extrapolates check
• Final Plausibility check

• Consolidated Group Responses: in case of existing, split by proportional number of persons employed.

• BigOne Missing: based on previous year data.

• Structural Missing due to enterprise size: Regression Model in order to transform reduced questioners into detailed questioners.

None

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