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.
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 statisticscollection includes three characteristics due by NUTS-2 country region and detailed on NACE Rev 2division 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.
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.
3.4. Statistical concepts and definitions
SBS constitutes an important and integrated part of the new European Business Statistics Regulation N° 2152/2019.
Statistical unit used is an Enterprise according to Council Regulation (EEC) No 696 / 93 of 15 March 1993 on the statistical units for the observation and analysis of the production system in the Community and other methodological guidelines.
3.5.1. Treatment of complex enterprise
Data treatment
Sample frame based on enterprises
Yes
Surveying all legal units belonging to a complex enterprise
Yes
Surveying all legal units within the scope of SBS belonging to a complex enterprise
No
Surveying only representative units belonging to the complex enterprise
Yes
Other criteria used, please specify
Comment
Representative units belonging to the complex enterprise are surveyed by statistical questionnaire. Other legal units belonging to a complex enterprise - are updated by administrative data.
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
Comment
3.6. Statistical population
The survey population is based on Statistical Business Register. It is comprised of all active public and private companies, state and municipal enterprises, foreign affiliates, all types of partnerships, individual enterprises, natural persons carrying out economic activity (self employed) and public institutions* operating in the country during the reporting period, and whose main economic activity is NACE Rev. 2, Sections B-J, L-N and P-R and sections S95 and S96.
*Only public institutions which cover more than half of the operating costs with the revenues earned for three consecutive years are included.
3.7. Reference area
Country. The branches of foreign enterprises are included. The exclusion of the results relating to the activity abroad is not performed as their impact is insignificant.
3.8. Coverage - Time
1995-2023.
Statistical information is fully comparable from 1995-2004, 2005 to 2017. In 2005 natural persons carrying out economic activity was included in the survey population and the statistical unit was equal to legal unit or of part of legal unit. The statistical unit an enterprise has been implemented since 2018. Statistical unit an enterprise is equal to legal unit, a combination of legal units (complex enterprise) or of part of legal unit. In 2018-2020 the complex enterprises were identified and applied for the largest enterprise groups. From 2021 the complex enterprises has been applied for all enterprise groups.
3.9. Base period
Not applicable.
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.
Reference year 2023.
Data refers to the fiscal year, which mostly coincides with the calendar year.
6.1. Institutional Mandate - legal acts and other agreements
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
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.
7.1. 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.
Regulation (EC) No 223/2009 on European statistics (recital 24 and Article 20(4) of 11 March 2009 (OJ L 87, p. 164), stipulates the need to establish common principles and guidelines ensuring the confidentiality of data used for the production of European statistics and the access to those confidential data with due account for technical developments and the requirements of users in a democratic society.
7.2. Confidentiality - data treatment
The primary and secondary confidentiality is applied on the dataset. 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.
The following confidentiality treatment was applied by the Member State (confidentiality rates are calculated for the main data flow EBSSBS_ALL_A):
Only primary confidentiality
Primary and secondary confidentiality
X
The rate of confidential cells is:
%
S nb. of confidential cells /S nb. of cells provided x100
15.01
The rate of confidential cells (formula 2) is:
S nb. of confidential cells /S nb. of non-zero cells provided x100
17.99
Please provide any comments on the amount of data affected by confidentiality.
A quite normal amount of data affected by confidentiality.
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
No
If dominance criteria applied specify the threshold (Number)
Secondary confidentiality applied
Yes
Comment
8.1. Release calendar
Statistical information is published on the Official Statistics Portal according to the Official Statistics Calendar.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and Statistical Information Dissemination and Communication Rules of Statistics Lithuania approved by Order No DĮ-176 of 2 July 2021 of the Director General of Statistics Lithuania.
The publication is available in Lithuanian and English languages.
10.3. Dissemination format - online database
Statistical indicators are published in the Database of Indicators (Business statistics -> Business structure and finance -> Annual structural business statistics). SBS results are disseminated twice in the national on-line database. The preliminary data is diseminated in October (t+10) and final data - in June (t+18).
The Indicators Database page is for viewing and analyzing statistical information. For more information on the Indicators Database, see the Indicators Database User Guide.
10.4. Dissemination format - microdata access
The State Data Agency may, on the basis of contracts concluded with higher education institutions or research institutes, provide statistical data to researchers of these higher education institutions and research institutes to carry out specific statistical analyses for research purposes. Statistical data are provided in accordance with the provisions specified in the Description of Procedure for Data Depersonalisation and Pseudonymisation. More information is available on the Official Statistics Portal, in the section Data Provision.
10.5. Dissemination format - other
Statistical information can also be provided upon individual requests (more information is available on the Official Statistics Portal, in section Services).
The data are sent to Eurostat, to be used in European aggregates and to be released also as national data.
10.6. Documentation on methodology
Methodological documents are published in the Official Statistics Portal section Business structure and finance. The METHODOLOGY FOR THE STATISTICAL SURVEY ON THE ACTIVITIES OF NONFINANCIAL ENTERPRISES and the metadata on nationally published Structural business statistics indicators are available in Lithuanian and English languages.
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. Main trends in activity of Statistics Lithuania aimed at quality management and continuous development in the institution are established in the Quality Policy.
Monitoring of the quality indicators of statistical processes and their results and self-evaluation of statistical survey managers is regularly carried out in order to identify areas which need improvement and to promptly eliminate shortcomings.
More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the Statistics Lithuania website.
11.2. Quality management - assessment
The quality of the statistical results meets the requirements of accuracy, timeliness and punctuality, comparability and consistency.
The results of the quality indicators of the observed statistics are presented in fields 12–15 of this metadata description.
In 2020, a self-assessment of the survey was performed. It showed that the results of the survey meet the quality requirements of statistical information.
Statistical information is considered reliable due to thorough verification and validation of the data. The data consistency and comparability with the results of the previous year are checked, i.e. data should pass the data consistency, logical and comparability rules. In the event of significant deviations, the data providers shall be contacted, the errors have been corrected or reasons for the deviations explained.
The comparability of the data with the results of the previous year is affected by methodological changes have been applied for 2021 data. In 2018-2020, the complex enterprises were defined and applied for the largest enterprise groups. Since 2021 the complex enterprises have been defined and applied for all enterprise groups.
12.1. Relevance - User Needs
The main users of statistical information are internal: State and municipal authorities and agencies, the Central bank, the media, research and business communities, students.The SBS data are an important source for the analysis of the business (except agriculture) and the compilation of national accounts.
The external users are: Eurostat, ECB, UN and other international organisations.
Regular consultations are organised with the main internal user – the National Accounts Division and the Central Bank – in order to clarify their needs. The relevance of the variables collected and the needs of users are discussed.
12.2. Relevance - User Satisfaction
Since 2005, user opinion surveys have been conducted on a regular basis. The Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion poll on the products and services of Statistics Lithuania, target user group opinion polls and other surveys are conducted.
In 2007, the compilation of a user satisfaction index was launched. The said surveys are aimed at the assessment of the overall demand for and necessity of statistical information in general and specific statistical indicators in particular.
More information on user opinion surveys and results thereof are published in the User Surveys section on the Statistics Lithuania website.
A survey related to the users' satisfaction regarding the availability and the quality of the SBS data is not organised.
12.3. Completeness
All indicators established by legislation are available.
13.1. Accuracy - overall
The overall accuracy of the results is considered good. The survey is an exhaustive (census) based on statistical data collection survey and administrative data. The definitions of the administrative data used meet the requirements of the Regulation, non-existent characteristics in administrative sources are estimated using statistical and mathematical estimation methods. The results are not significantly influenced by the estimation of missing values.
13.2. Sampling error
The sampling error of the statistical survey on the activity of non-financial corporations is not calculated. The sample is used only to select and survey the largest companies representing the activities. Data on the remaining enterprises are collected from administrative data sources.
13.3. Non-sampling error
In 2023, the unit non-response rate stood at 1.6 per cent. In 2022, it stood at 2.4 per cent. A unit is considered non-responding if it did not provide data for any of the main data sources: the statistical report on enterprise activity F-01 (annual), the annual financial statement (profit and loss account), or the profit tax return, while other data sources indicated that the enterprise was active.
14.1. Timeliness
At the national level, provisional statistical information (key indicators by NACE Rev. 2 at the 3-digit level) is published in 10 months, final (all indicators by NACE Rev. 2 at the 4-digit level, by size class and region) – in 17 months after the end of the reference year on the Official Statistical Portal.
14.2. Punctuality
Statistical information was delivered to Eurostat in accordance with the deadline set up in the EBS Regulation. At national level - in accordance with an Official Statistics Calendar.
15.1. Comparability - geographical
Fully comparable geographically. In addition, statistical information is comparable across the EU.
15.2. Comparability - over time
Length of comparable time series is 1995-2004; 2005-2008; 2008-2017; 2018-2020 and from 2021 onward.
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.
Since 2018 the statistical unit an enterprise has been changed: statistical unit is constituded by one legal unit, a combination of legal units (complex enterprise) or of part of legal unit. In 2018-2020, the complex enterprises were defined and applied for the largest enterprise groups. Since 2021 the complex enterprises have been defined and applied for all enterprise groups.
15.2.1. Time series
Time series
First reference year available (calendar year)
1995
Calendar year(s) of break in time series
2005, 2008, 2018, 2021.
Reason(s) for the break(s)
2005 - natural persons carrying out economic activity (self-employed) have been included in the survey population.
2008 - data are provided by NACE Rev.2.
2018 - the statistical unit an enterprise has been changed: statistical unit is constituded by one legal unit, a combination of legal units (complex enterprise) or of part of legal unit. The complex enterprises were defined and applied for the largest enterprise groups.
2021 - the complex.enterprises have been defined and applied for all enterprise groups.
Length of comparable time series (from calendar year to calendar year)
1995-2004; 2005-2007; 2008-2017; 2018-2020; 2021.
Comment
15.3. Coherence - cross domain
The SBS indicators of the number of enterprises, number of persons employed and number of employees are coherent with the Business Demography.
The indicator of Net turnover is also produced under the short-term statistics domain. The definitions of the indicators produced under STS and SBS domains have been harmonised, while statistical observation unit and survey methods are different.
15.4. Coherence - internal
Statistical information is fully coherent internally.
In 2023, EUR 258,1 thousand were allocated for the statistical Survey on Activities of Non-Financial Enterprises. The costs refer to the SBS requirements and other statistics requirements (National and Financial Accounts and national requirements).
In 2023, there were 11 401 legal entities sampled for the data collection survey.
In 2023, the average time spent by a respondent on the filling-in statistical questionnaire F-01 or F-01 (detailed) on the activity of non-financial enterprise was 4 hrs 05 min. (in 2022, 4 hrs 43 min.). Compared to the previous year, the statistical reporting burden decreased significantly.
The revision of the data for reference years 2021–2022 has been conducted.
The data were revised in the activities (by NACE rev. 2) H49.41, H52.29, H53.20, K64.30, K65.11, K65.12, K64.92, K64.99, K66.22, N78.30, N79.12 and R92.00.
The revision was done due to reclassification of activity code of a few significant enterprises from NACE rev.2 H49.41 and H52.29 activity to H53.20.
The data for the activity N79.12 was corrected due to harmonization of concept of Purchases of goods and services for resale with National Accounts.
The data for the activity R92.00 was corrected as enterprises changed the accounting policy. The net turnover (without amounts of bets) is provided by enterprises in Profit (loss) account.
The data for insurance companies (K65.11 and K65.12) was corrected following a thorough analysis and comparison of the information received from the Central Bank and the companies' annual financial reports.
Activity K64.30 was updated to include some collective investment entities that were not present in the data provided by the Central Bank.
Natural persons (self-employed) engaged in economic activities were added to the data for activities K64.92, K64.99, and K66.22.
Impact of the revision is provided in the attached Excel files.
The revised information is published in the Database of Indicators marked "revised".
The SBS survey is conducted as a census. A mixed data collection approach, combining statistical survey data and administrative data, is used to produce the SBS indicators.
Statistical data are collected through questionnaires. A cut-off method is applied to select enterprises for the survey: the largest enterprises, which account for about 10 per cent of the survey population (excluding individual enterprises and natural persons) and represent 75–80% of the net turnover at the NACE Rev. 2 3-digit level, are surveyed. Legal units provide data through the annual statistical questionnaire on the activity of non-financial enterprises (F-01). The largest legal units belonging to complex enterprises submit data through the detailed statistical questionnaire (F-01 detailed).
Administrative data are used to cover the remaining enterprises (those not sampled). The following administrative sources are used: annual financial statements (balance sheet, profit and loss account); annual profit tax declarations of individual enterprises; annual income declarations of natural persons engaged in economic activity; data from the State Social Insurance Fund Board (SODRA) on employees; VAT declarations; annual profit tax declarations of limited liability companies; and annual declarations on transactions between associated persons.
The non-response units are estimated using nearest-neighbour (donor) method (a non-response unit is treated if unit did not provide data for any of the main data sources: did not fill in a statistical questionnaire F-01 (annual), profit and loss statement or profit tax declaration, while, according to other data sources, the enterprise was active).
Statistical data of financial enterprises are collected thought the dedicated statistical suveys depending on their activity. Part of data are received from Bank of Lithuania. Administrative data are also used, including annual financial statements (balance sheet, profit and loss account), annual profit tax declarations of individual enterprises, annual income declarations of natural persons engaged in economic activity and SODRA data on employees.
18.1.1. Data sources overview
Data sources overview
Survey data
Yes
VAT data
Yes
Tax data
Yes
Financial statements
Yes
Other sources, please specify
State social insurance fund board (SODRA) data on employees, Annual declaration on transactions between associated persons, annual financial data from Bank of Lithuania.
Comment
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.
18.4. Data validation
To ensure the quality of statistical data, comprehensive data checking and validation procedures are carried out. During the completion of the statistical report, arithmetic, logical, range, and variable relation checks are performed. Respondents submit the statistical report only when no critical errors are present and when explanations for ignored errors have been provided.
The verification and editing of administrative data are performed automatically, while significant amounts are cross-checked against the Notes to the Annual Financial Statements. Once all data have been collected, the comparability and consistency analysis of the aggregated data are performed, and the validity of the statistical data is confirmed. In case of significant deviations data is analysed at the enterprise level, and erroneous primary data are corrected, or the causes of the discrepancies are identified.
The data verification rules include the SBS validation rules incorporated in Eurostat’s validation tool (InputHall). The reasons for the remaining deviations are identified and described in a report submitted to Eurostat.
18.5. Data compilation
The final survey population of active enterprises is determined on the basis of data received from all sourses. The SBS data for the final population are combined as follows: data for the largest sampled enterprises are received from statistical survey. For the remaining enterprises the administrative data is used. Since administrative data don't cover all required variables, the non-existent variables are estimated and imputed either using structural coefficients of donor units (nearest-neighbour method) or structural coefficients of the same enterprise from the previous year. Non-responding units (as defined in Chapter 18.1) are also estimated and imputed using donor unit data (nearest-neighbour method).
Once the primary data are validated as reliable, composite indicators such as output, value added, etc. are derived from the primary indicators. Statistical information is then produced by aggregating the primary data according to the required breakdowns.
18.6. Adjustment
Not applicable.
Since 2018, an enterprise may be constituted by a combination of legal units (not only by a single legal unit or part of a legal unit) and is referred to as a complex enterprise in the Metadata file. A complex enterprise corresponds to a combination of legal units in cases where the units belong to an Enterprise Group and their performance constitutes an operating segment. In such cases, non-additive variables (net turnover, purchases, gross investments in tangible and intangible fixed assets) are consolidated, with inter-unit transactions eliminated.
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 statisticscollection includes three characteristics due by NUTS-2 country region and detailed on NACE Rev 2division level (2-digits).
25 August 2025
SBS constitutes an important and integrated part of the new European Business Statistics Regulation N° 2152/2019.
Statistical unit used is an Enterprise according to Council Regulation (EEC) No 696 / 93 of 15 March 1993 on the statistical units for the observation and analysis of the production system in the Community and other methodological guidelines.
The survey population is based on Statistical Business Register. It is comprised of all active public and private companies, state and municipal enterprises, foreign affiliates, all types of partnerships, individual enterprises, natural persons carrying out economic activity (self employed) and public institutions* operating in the country during the reporting period, and whose main economic activity is NACE Rev. 2, Sections B-J, L-N and P-R and sections S95 and S96.
*Only public institutions which cover more than half of the operating costs with the revenues earned for three consecutive years are included.
Country. The branches of foreign enterprises are included. The exclusion of the results relating to the activity abroad is not performed as their impact is insignificant.
Reference year 2023.
Data refers to the fiscal year, which mostly coincides with the calendar year.
The overall accuracy of the results is considered good. The survey is an exhaustive (census) based on statistical data collection survey and administrative data. The definitions of the administrative data used meet the requirements of the Regulation, non-existent characteristics in administrative sources are estimated using statistical and mathematical estimation methods. The results are not significantly influenced by the estimation of missing values.
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.
The final survey population of active enterprises is determined on the basis of data received from all sourses. The SBS data for the final population are combined as follows: data for the largest sampled enterprises are received from statistical survey. For the remaining enterprises the administrative data is used. Since administrative data don't cover all required variables, the non-existent variables are estimated and imputed either using structural coefficients of donor units (nearest-neighbour method) or structural coefficients of the same enterprise from the previous year. Non-responding units (as defined in Chapter 18.1) are also estimated and imputed using donor unit data (nearest-neighbour method).
Once the primary data are validated as reliable, composite indicators such as output, value added, etc. are derived from the primary indicators. Statistical information is then produced by aggregating the primary data according to the required breakdowns.
The SBS survey is conducted as a census. A mixed data collection approach, combining statistical survey data and administrative data, is used to produce the SBS indicators.
Statistical data are collected through questionnaires. A cut-off method is applied to select enterprises for the survey: the largest enterprises, which account for about 10 per cent of the survey population (excluding individual enterprises and natural persons) and represent 75–80% of the net turnover at the NACE Rev. 2 3-digit level, are surveyed. Legal units provide data through the annual statistical questionnaire on the activity of non-financial enterprises (F-01). The largest legal units belonging to complex enterprises submit data through the detailed statistical questionnaire (F-01 detailed).
Administrative data are used to cover the remaining enterprises (those not sampled). The following administrative sources are used: annual financial statements (balance sheet, profit and loss account); annual profit tax declarations of individual enterprises; annual income declarations of natural persons engaged in economic activity; data from the State Social Insurance Fund Board (SODRA) on employees; VAT declarations; annual profit tax declarations of limited liability companies; and annual declarations on transactions between associated persons.
The non-response units are estimated using nearest-neighbour (donor) method (a non-response unit is treated if unit did not provide data for any of the main data sources: did not fill in a statistical questionnaire F-01 (annual), profit and loss statement or profit tax declaration, while, according to other data sources, the enterprise was active).
Statistical data of financial enterprises are collected thought the dedicated statistical suveys depending on their activity. Part of data are received from Bank of Lithuania. Administrative data are also used, including annual financial statements (balance sheet, profit and loss account), annual profit tax declarations of individual enterprises, annual income declarations of natural persons engaged in economic activity and SODRA data on employees.
Annual.
At the national level, provisional statistical information (key indicators by NACE Rev. 2 at the 3-digit level) is published in 10 months, final (all indicators by NACE Rev. 2 at the 4-digit level, by size class and region) – in 17 months after the end of the reference year on the Official Statistical Portal.
Fully comparable geographically. In addition, statistical information is comparable across the EU.
Length of comparable time series is 1995-2004; 2005-2008; 2008-2017; 2018-2020 and from 2021 onward.
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.
Since 2018 the statistical unit an enterprise has been changed: statistical unit is constituded by one legal unit, a combination of legal units (complex enterprise) or of part of legal unit. In 2018-2020, the complex enterprises were defined and applied for the largest enterprise groups. Since 2021 the complex enterprises have been defined and applied for all enterprise groups.
