Structural business statistics (sbs)

National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistics Lithuania

Time Dimension: 2015-A0

Data Provider: LT1

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

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1. Contact Top
1.1. Contact organisation

Statistics Lithuania

1.2. Contact organisation unit

Enterprise statistics division

1.5. Contact mail address

29 Gedimino Ave.,

LT-01500 Vilnius, Lithuania


2. Metadata update Top
2.1. Metadata last certified 30/03/2018
2.2. Metadata last posted 30/03/2018
2.3. Metadata last update 08/04/2019


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

Enterprise (legal unit) and LKAU are used for compiling the SBS data.

3.6. Statistical population

The statistical population is comprised of all active private companies, state and municipal enterprises, foreign affiliates, all types of partnerships, individual enterprises, natural persons carrying out economic activity. 

3.7. Reference area

Country. The branches of foreign enterprises are included. The exclusion of the results relating to activities abroad is not performed as their impact is insignificant (only 34 branches operating abroad were indicated).

3.8. Coverage - Time

1995-2015

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

Data refers to the fiscal year, which mostly coincides with the calendar year. The weight of the deviation (when fiscal year does not correspond to a calendar year) is low: the number of enterprises accounts for 0.3 % of the SBS population, their turnover – 2 % of the total turnover.


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

In the process of statistical data collection, processing and analysis and dissemination of statistical information, Statistics Lithuania fully guarantees the confidentiality of the data submitted by respondents (households, enterprises, institutions, organisations and other statistical units), as defined in the Confidentiality Policy Guidelines of Statistics Lithuania.

7.2. Confidentiality - data treatment

Data are considered to be confidential if the number of units in a cell is less than 3 (primary confidentiality). A minimum frequency rule is applied to identify secondary confidentiality.T-Argus software is used for identification and protection of confidential data.


8. Release policy Top
8.1. Release calendar

Statistical information is published in accordance with an approved release calendar.

8.2. Release calendar access

https://osp.stat.gov.lt/en/kalendoriai

 

8.3. Release policy - user access

Statistical information is published on the Official Statistics Portal according to an approved statistical information release calendar pursuant to the Rules for the Preparation and Dissemination of Statistical Information, approved by Order No DĮ-212 of 26 September 2014 of the Director General of Statistics Lithuania.


9. Frequency of dissemination Top

Twice per year


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

News release is not provided

10.2. Dissemination format - Publications

SBS results are disseminated in the electronic publications Business Statistics and Statistical Yearbook of Lithuania. The Statistical Yearbook is also produced in paper format.

10.3. Dissemination format - online database

The final SBS results are disseminated on the national on-line database on 14 July 2017, the preliminary results - on 15 September 2016.
Links to the on-line database: https://osp.stat.gov.lt/statistiniu-rodikliu-analize#/

10.4. Dissemination format - microdata access

The national authority should be contacted to have access to the micro-data.

10.5. Dissemination format - other

The data are provided to Eurostat and released as national data in the national database.

10.6. Documentation on methodology

Statistical information is produced following the Structural business statistics survey methodology (in Lithuanian only).

10.7. Quality management - documentation

Statistical metadata is available on the website (in Lithuania and English).


11. Quality management Top
11.1. Quality assurance

The quality of statistical information and its production process is ensured by the provisions of the European Statistics Code of Practice. In 2007, a management system, conforming with the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania.

11.2. Quality management - assessment

Data quality is in accordance with principles of accuracy and reliability, timeliness and punctuality, coherence and compatibility. Statistical information is considered to be reliable because most of the indicators tally with data from annual financial statements approved by the annual shareholders’ meeting of legal units, and data proceed several validation stages.


12. Relevance Top
12.1. Relevance - User Needs

Regular consultations are organised with the main internal user – the National Accounts Division, and an external user – the Central Bank – in order to satisfy their needs. The relevance of the variables collected and the needs of users are discussed.

12.2. Relevance - User Satisfaction

A survey related to the users' satisfaction regarding the availability of data for Annexes I to IV of the SBS Regulation is not organised.

12.3. Completeness

All data required by legislation are provided.


13. Accuracy Top
13.1. Accuracy - overall

The overall accuracy of the results is considered as good. The survey is an exhaustive (census) survey based on statistical survey and administrative data. The non-existent characteristics in administrative sources are estimated. The results are not significantly influenced by the estimation of missing values.

13.2. Sampling error

Not applicable

13.3. Non-sampling error

In 2015, the unit non-response rate stood at 4.3 per cent (in 2014 – 4.3 per cent; in 2013 and 2012 – 3.6 per cent). The non-response unit is considered if it does not provide data for any of the main data sources -  statistical questionnaire F-01 (annual), annual financial  statement (balance sheet and profit and loss account) or profit tax return, while, according to other data sources, the enterprise is active.

Part of required indicators which are not available in administrative sources is estimated/imputed using statistical/mathematical estimation methods. To assess this phenomenon, the weighted (by turnover) rate of imputed values is calculated. In 2015, it stood at  9 per cent (in 2013 – 8 per cent; in 2014 and 2012 – 7 per cent).


14. Timeliness and punctuality Top
14.1. Timeliness

At the national level, provisional statistical information (key indicators by NACE Rev. 2 at the 3-digit level) is published in 9 months, final (all indicators by NACE Rev. 2 at the 4-digit level, by size class and region) – in 19 months after the end of the reference year on the Official Statistical Portal and in the statistical publications Business Statistics.

14.2. Punctuality

Statistical information is provided to Eurostat in time and published at national level in accordance with an approved release calendar.


15. Coherence and comparability Top
15.1. Comparability - geographical

The geographical comparability of results is fully ensured.

15.2. Comparability - over time

Length of comparable time series is 1995-2004; 2005-2008; 2008-2015. Since 2005, natural persons carrying out economic activity have been included in the survey population. Data for the reference years 1995–2008 are provided by NACE Rev. 1.1.

15.3. Coherence - cross domain

The indicators of the number of enterprises and number of persons employed are produced in accordance with the SBS and BD requirements. A few methodological differences between those domains exist. 1) Number of persons employed is calculated as an annual average of persons employed in the SBS and as an average of persons employed in the BD. 2) In the SBS enterprise is treated as active if an enterprise has turnover and/or persons employed and/or wages and salaries during the reference year, while in BD - only turnover and/or persons employed are taken into account.

15.4. Coherence - internal

Statistical information is fully coherent internally.


16. Cost and Burden Top

In 2015, the average time spent by a respondent on the filling in of the statistical questionnaire was 4 hours 25 minutes (in 2014 – 4 hours 33 minutes).


17. Data revision Top
17.1. Data revision - policy

Revisions of statistical indicators are performed in accordance with the General Principles behind the Performance, Analysis and Announcement of Revisions of Statistical Indicators approved by Order No DĮ-262 of 30 December 2013 of the Director General of Statistics Lithuania. Users are informed about scheduled revisions in advance through a Calendar of Scheduled Revisions of Statistical Indicators.

17.2. Data revision - practice

The results published are final and not revised later. Exception applies in case of detection of significant errors.


18. Statistical processing Top
18.1. Source data

1. Statistical data sources:

1.1 Annual statistical questionnaire on enterprise activity (F-01).

2. Administrative sources:

2.1 Annual financial statements (balance sheet, profit and loss account)

2.2 Annual profit tax declaration of individual enterprises

2.3 Annual income declaration of natural persons who are engaged in an economic activity in their own right

2.4 State social insurance fund board (SODRA) data on employees

2.5 VAT declaration

2.6 Annual profit tax declaration of limited liability companies

18.2. Frequency of data collection

Annual data collection

18.3. Data collection

Statistical data are collected via the electronic statistical data preparation and transfer system e-Statistics, also by e-mail, mail, fax.

18.4. Data validation

To ensure statistical data quality, data proceed several checking, editing and validation stages. Statistical data are corrected taking into account error types: some errors can be ignored, while others must be corrected. Administrative data are edited automatically using the SAS software. The final quality treatment is performed at the aggregated data level according to the rules integrated in to EDIT tool prepared by Eurostat. The deviations are analysed, incorrect values are corrected or the reasons of deviations are identified.

18.5. Data compilation

The mass imputation is used to evaluate not sample enterprises (mostly small business) and to estimate the units and items non-responses. Main part of variables are collected from administrative data. Variables which are not available in the Admin data are estimated and imputed using donor values (the nearest neighbour method) or the structural coefficients of donor unit’s or the structural coefficients of the same enterprise from the previous year. Non-responding units are estimated and imputed using a data of donor unit.

The composite indicators (12120, 12130, 12150, 12170) are calculated from primary indicators.

When primary data have been approved as suitable, final aggregated statistical information is calculated by summing up the primary data in different breakdowns.

18.6. Adjustment

Not applicable


19. Comment Top

No comment


Related metadata Top


Annexes Top