Structural business statistics (sbs)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: State Statistical Office of the Republic of Macedonia

Time Dimension: 2015-A0

Data Provider: MK1

Data Flow: SBS_ESMS_A

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)

For any question on data and metadata, please contact: EUROPEAN STATISTICAL DATA SUPPORT


1. Contact Top
1.1. Contact organisation

State Statistical Office of the Republic of Macedonia

1.2. Contact organisation unit

Statistical Business Register and Structural Business Statistics  department.

1.5. Contact mail address

str. Dame Gruev  4 - 1000 Skopje, Republic of Macedonia

2. Metadata update Top
2.1. Metadata last certified 23/04/2018
2.2. Metadata last posted 23/04/2018
2.3. Metadata last update 23/04/2019

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 non-financial business economy with the exception of agricultural activities and personal services. Limited information is available on banking, insurance and pension funds.

 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)
3.2. Classification system

Statistical Classification of Economic Activities in the European Community (NACE): NACE Rev.1 was used until 2001, NACE Rev. 1.1 since 2002, and NACE Rev 2 is used from 2008 onwards. Key data were double reported in NACE Rev.1.1 and NACE Rev.2 for 2008. From 2009 onwards, only NACE Rev.2 data are available.

The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statistics (NUTS). Detailed information about the consecutive NUTS Regulations can be found at Eurostat's website

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

The SBS coverage was limited to Sections C to K of NACE Rev.1.1 until 2007. Starting from the reference year 2008 data is available for Sections B to N and Division S95 of NACE Rev.2. With 2013 as the first reference year information is published on NACE codes K6411, K6419 and K65 and its breakdown.

3.4. Statistical concepts and definitions

The statistical characteristics are defined in Annex I of Commission Regulation (EC) No 250/2009

3.5. Statistical unit

National data and data broken down by size class of number of persons employed both refer to enterprises.

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.

3.6. Statistical population

SBS population cover all active-non finacial  enterprises (small, medium and large) as well as entrepreneurships registered  by NACE Rev.2 Sections B to N and Group S95

3.7. Reference area
Republic of Macedonia
3.8. Coverage - Time

2008 is the first reference year for SBS compilation based on NACE REV 1.1clasification.

2009 was double reporting acording to NACE Rev 1.1 and NACE Rev 2

The data set is more complete and comparable starting from reference year 2009 onwards.

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

SBS data refer to the calendar year that corresponds to the fiscal year.

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

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. The European Parliament and Council Regulation No 295/2008 was adopted on 14/02/2008 and the provisions of this Regulation are applicable from the reference year 2008. Regulation No 295/2008 has been amended by Commission Regulation (EU) No 446/2014.

6.2. Institutional Mandate - data sharing

Not applicable.

7. Confidentiality Top
7.1. Confidentiality - policy

Individual data are protected by the Law on State Statistics. Data collected with statistical surveys from the reporting units or indirectly from administrative or other sources are confidential data and are used only for statistical purposes. Results from the statistical processing may also generate information considered as confidential, for example: anonymized individual data, tables with low level of aggregation, as well as unreleased data. The Policy on Statistical Confidentiality contains the basic principles used in the SSO.

7.2. Confidentiality - data treatment
All individual or personal data, in each phase of statistical processing, are treated as confidential data and may be used only for statistical purposes. When releasing data from the Structural Business Statistics confidential data are protected cells/ aggregation of data .Data protection is applied when less than 3 business subject should be released, but also in a case when one or two business subjects dominate or participate with 75% of disseminated data .

8. Release policy Top
8.1. Release calendar
Data are released in accordance with the Release Calendar,  published on the web site of the State Statistical Office. The Release Calendar is prepared annually before the beginning of each year and is updated quarterly.
8.2. Release calendar access

Advance releasse calendar available

Advance release calendar
8.3. Release policy - user access

In accordance with the dissemination policy, all users have equal access to statistical data at the same time. Data are released on the web site at the same time for all users, which are informed with the Release Calendar, and no user has privileged access.

9. Frequency of dissemination Top


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

News releases on-line

10.2. Dissemination format - Publications

Annualy : Statitical Yerabook

              Makstat selection

Statistical Yearbook
Makstat selection
10.3. Dissemination format - online database

MakStat database available on the State Statistical Office website.

10.4. Dissemination format - microdata access
According to the Law on State Statistics (Article 41) and the Policy on Access to Anonymized Microdata for scientific purposes, data collected for the purpose of official statistics may be used for scientific purposes if there is no risk of direct or indirect identification, i.e. disclosure of data individuality. Access to micro data is possible only in the safe room at the SSO, based on a submitted and approved request and a signed agreement.
10.5. Dissemination format - other

Internet address:

State Statistical Office of the Republic of Macedonia
10.6. Documentation on methodology

Data is produced in accordance with the Regulation 295/2008 on Structural Business statistics.  Basic methodological explanations available on the veb site of the SSO.

Methodological explanation
10.7. Quality management - documentation

not available

11. Quality management Top
11.1. Quality assurance

The commitment of the SSO to ensuring quality of products and services is described in the Law on State Statistics, the Strategy of the State Statistical Office  and the Quality Policy of the State Statistical Office, as well as in the continuous efforts for harmonization with the European Statistics Code of Practice. The main aspects and procedures for quality management in the phases and sub-phases of the Statistical Business Process Model, as well as the good practices for ensuring quality are documented in the internal document called “Guide for ensuring quality of statistical processes”. Input and output metadata, as well as relevant quality indicators for certain sub-processes are described in the document “Guide for survey managers”.

Strategy of the State Statistical Office
Quality Policy of the State Statistical Office
11.2. Quality management - assessment

Overall assessment of SBS data quality, based on standard quality criteria has not been done  by SSO.

12. Relevance Top
12.1. Relevance - User Needs
The main SBS data users:
State Statistical Office - in the frame of statistical system data is used as a base for GDP calculation, as well as production of weights for price indices, industry production index and etc.
Ministries and other government institutions, use SBS indicators for macroeconomic analyses, for developing strategies for economic development as well as monitoring of the degree of the realization of adopted strategies..
Commercial chambers, trade association, use data for market analyses and developing of various strategies, for example for small and medium enterprises developing.
Business subjects use data for decision-making for development and investing in concrete activities.
Universities, professors, students, independent researchers, experts, etc.
12.2. Relevance - User Satisfaction

The State Statistical Office every three years conducts the general User Satisfaction Survey , the last one in 2015.There is no user satisfaction survey dedicated to presented results of SBS.

12.3. Completeness

The majority of  required data categories are  transmitted. Annual regional statistics is not provided due to the required  level of  regional breakdown NUTS 0-2 which is national level. 

13. Accuracy Top
13.1. Accuracy - overall
Data accuracy is ensured by working with additional data comparisons and analysis before dissemination.
13.2. Sampling error
Not applicable (survey is with total coverage).
13.3. Non-sampling error
Not applicable (survey is with total coverage).

14. Timeliness and punctuality Top
14.1. Timeliness
Т+300 for previous data.
Т+450 for final data.
14.2. Punctuality


15. Coherence and comparability Top
15.1. Comparability - geographical

The same statistical concepts applied in the entire national territory.Geographical comparability with other EU countries, it is also ensured because data are collected in line with EU regulations. However, certain comparison may be limited due to the differences in national accounting system as a base for data categories production.

15.2. Comparability - over time

Available two SBS data series are not comparable due to the different versions of national classification of activity.
In 2008-2009 data is aggregated by NKD Rev.1. activity sector.
From 2009 comparability is ensured without any break, by NKD Rev.2.

15.3. Coherence - cross domain
On a macro level data is compared with SBR data. On a micro level, data is compared with National Account data.


15.4. Coherence - internal
Internal coherence of data is ensured.

16. Cost and Burden Top

There is no direct  burden to the respondent since the administartive data source mainained by the Central Registar, agency authorized to collect annual finacial reports of the enterprises  is used.

17. Data revision Top
17.1. Data revision - policy
SBS data is released as a previous and final (revised) data.
17.2. Data revision - practice

Preliminary data are revised as a final due to the additional data set provided  by the administartive data source.

Preliminary data versus published final data

18. Statistical processing Top
18.1. Source data

Structural Busienss Statistics data categories are compiled from data obtained from the administartive data source. The main data source is the Central Register authorized for collection of the business subjects annual financial reports.  Additional data sources are: the Public Revenue Office and the Pension Fund. For data coherency, data from other statistical surveys carried out by the State Statistical Office are used.

18.2. Frequency of data collection

Annual data collection

18.3. Data collection
Data is undertaken from administrative data source, on a magnet medium.
18.4. Data validation
Data collected by  the Central Register are initially controled automatically during the collection process. Once data is compiled,  number of logical checks between different variables are performed and the consistency of data over time is checked as well.  Before publishing,  Eurostat's EDit tool is used for validation of compiled data. When bigger deviation identidied, data  is checked on the field and corrected if there is a need.
18.5. Data compilation

SBS data is compiled from administartive data source that cover all business subjects. Accounting data from the financial annual reports are translated into items for data categories compilation. For data  not available in the ballance sheets, additional statistical form is prepaired. Since those documents are obligatory for all business subjects there is no data  estimation or imputation.

18.6. Adjustment

not applicable

19. Comment Top

Activities are planned for provision of missing data categories as well as for improvement of those already available but not transimttted due to their quality.

Related metadata Top

Annexes Top
State Statistical Office of the Republic of Macedonia
Methodological explanation
Statistical Yearbook
Makstat selection
Strategy of the State Statistical Office
Quality Policy of the State Statistical Office
Advance release calendar
Preliminary data versus published final data