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.
The annual Business demography (BD) data collection covers variables which explain the characteristics and demography of the business population. The methodology allows for the production of data on enterprise births (and deaths), that is, enterprise creations (cessations) that amount to the creation (dissolution) of a combination of production factors and where no other enterprises are involved (enterprises created or closed solely as a result of e.g. restructuring, merger or break-up are not considered).
A summary of the available indicators is listed below. The data is available at EU, country and regional level, with breakdowns for type of activity, legal form and size class.
For the population of active enterprises: • Number of active enterprises • Number of enterprise births • Number of enterprise survivals up to five years • Number of enterprise deaths • Related variables on employment: 'employees' and 'persons employed' (employees and self-employed persons)
For the population of active employer enterprises: • Number of enterprises having at least one employee • Number of enterprises having the first employee • Number of enterprises having no employees anymore • Number of enterprise survivals up to five years • Related variables on employment: 'employees' and 'persons employed' (employees and self-employed persons)
For high-growth enterprises, the following indicators are available at EU and country level: • Number of high-growth enterprises (growth by 10% or more) • Number of employees of high-growth enterprises • Number of young high-growth enterprises (up to five years old high-growth enterprises) • Number of employees of young high-growth enterprise
3.2. Classification system
From 2008 onwards NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community) is used for all indicators.
Starting with reference year 2021, BD data cover the economic activities of market producers within the NACE Rev. 2 Sections B to N, P to R and Divisions S95 and S96. The total economy is presented as Industry, construction and services (code BTSXO_S94).
For the reference years 2008-2020, data for the Sections P, Q, R and S were provided on a voluntary basis and K64.2 was not covered.
3.4. Statistical concepts and definitions
BD constitutes an important and integrated part of the EU Regulation 2019/2152 on European Business Statistics (EBS Regulation).
Activity. Activity is defined as any turnover and/or employment and/or investment in the period from 1st January to 31st December in a given year. In employer BD an enterprise is considered active as long as it has at least one employee at any moment of the year. There are no specific inclusions into, and exclusions from the population of active units, e.g. in terms of activity, legal form, location, quality etc. The birth or death dates from the statistical business register (SBR) are not used to decide if units are active.
Enterprise. 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.
Enterprise Birth. A birth amounts to the creation of a combination of production factors with the restriction that no other enterprises are involved in the event. Births do not include entries into the population due to mergers, break-ups, split-offs or restructuring of a set of enterprises. It does not include entries into a sub-population resulting only from a change of activity. A birth occurs when an enterprise actually starts its activity. An enterprise creation can be considered an enterprise birth if new production factors, in particular new jobs, are created. If a dormant unit is reactivated within two years, this event is not considered a birth.
Employer Enterprise Birth. Birth of an enterprise with at least one employee. This population consists of enterprise births that have at least one employee at any time in the birth year and of enterprises that existed before the year in consideration, but were below the threshold of one employee.
Enterprise Death. A death amounts to the dissolution of a combination of production factors with the restriction that no other enterprises are involved in the event. Deaths do not include exits from the population due to mergers, take-overs, break-ups or restructuring of a set of enterprises. It does not include exits from a sub-population resulting only from a change of activity. An enterprise is included in the count of deaths only if it is not reactivated within two years.
Employer enterprise death occurs either as an enterprise death with at least one employee in the year of death or as an exit by decline, moving below the threshold of one employee.
Survival. In the BD context, survival occurs if an enterprise is active in terms of employment and/or turnover and/or investment in the year of birth and the following year(s).
High-Growth Enterprises. Enterprises with at least 10 employees at the beginning of their growth and having average annualised growth in the number of employees greater than 10% per annum, over a three years.
Young high-growth enterprises(Gazelles) are up to five years old with average annualised growth of employees greater than 10% per annum, over a three year period. As growth over three years period is observed, the real age of young enterprises is five and four years.
3.5. Statistical unit
From 2018 and onwards the enterprise is used as the statistical unit in BD. The statistical unit is defined in accordance with the 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.
3.6. Statistical population
The target population is the active market enterprises. The population includes all the economic activities within the NACE Rev. 2, with the exception of Activities of membership organisations (Division S94), Agriculture, Forestry and Fishing (Section A), public administration and Defence, Compulsory Social Security (Section O), Activities of Households as Employers, Undifferentiated Goods and Services Producing Activities of Households for Own Use (Section T), Activities of Extraterritorial organisations and Bodies (Section U).
Size classes (thresholds) are used for the population of employer enterprises (at least one employee) and the population of high-growth enterprises (ten employees in the beginning of the growth).
3.7. Reference area
Lithuania, including branches of foreign enterprises.
The number of active, birth, death and survival enterprises, as well as high-growth enterprises is expressed in units.
The number of employees is counted as head counts and is expressed in units.
The number of persons employed is the sum of number of employees and self-employed persons.
The number of self-employed persons is the average number of persons who were at some time during the reference period the sole owners or joint owners of the statistical unit in which they work, measured in annual average headcounts, expressed in units.
Derived indicators are expressed in units or percentages.
2022
6.1. Institutional Mandate - legal acts and other agreements
Before reference year 2021, EU Regulation 2008/295 on structural business statistics, Annex IX, was providing a legal basis for the BD data collection. The Commission implementing EU Regulation 2014/439 ensured data collection on employer enterprises (with at least one employee), high-growth enterprises (more than 10% annual growth over three years) and their employment.
Up to reference year 2006 data have been collected under gentlemen's agreement within the context of the development of Structural Business Statistics.
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 the State Data Agency.
The national legislative measures or other formal procedures which prevent unauthorised disclosure of data that identify a person or economic entity either directly or indirectly include:
Statistical Disclosure Control Manual, approved by Order No DĮ-29 of 19 January 2024 of the Director General of Statistics Lithuania (available in Lithuanian only);
The State Data Governance Information System Data Security Regulations and Rules for the Secure Management of Electronic Information in the State Data Governance Information System, approved by Order No DĮ-202 of 27 August 2021 of the Director General of Statistics Lithuania (available in Lithuanian only).
7.2. Confidentiality - data treatment
The Number of enterprises is not treated as confidential. Confidentiality rules are applied for the number of employees and self-employed persons. Primary confidentiality rule is based on the threshold number. Secondary confidentiality procedures are used to prevent possible unauthorised disclosure.
To reduce the number of confidential cells secondary confidentiality is not applied if there are two or more cells marked with primary confidentiality and covering each other.
7.2.1. Confidentiality rules (primary and secondary)
Restricted from publication
7.2.2. Measures taken to reduce the number of confidential cells
Remarks
Measures taken to reduce the number of confidential cells
Yes
If measures have been taken, describe them briefly
Secondary confidentiality flags were placed on the lowest value of indicators where possible. Secondary confidentiality is not applied if there are two or more cells marked with primary confidentiality and covering each other.
Impact of these measures
Satisfactory
8.1. Release calendar
The data on the number of high-growth enterprises, the number of enterprise survivals, and the average number of employees in surviving enterprises are published at the national level according to the Official statistics release calendar of Statistics Lithuania.
The other data are transmitted to Eurostat only and not disseminated nationally.
All statistical information is published at the same time – at 9 a.m. on the day of publication of statistical information as indicated in the calendar on the Official Statistics Portal. Relevant statistical information is sent automatically to the news subscribers.
The BD results are disseminated on annual basis in the national database (Database of Indicators).
10.3.1. Data tables - consultations
Not requested.
10.4. Dissemination format - microdata access
Statistics Lithuania may, based on 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 (available in Lithuanian only). More information (only in Lithuanian) is available on the Official Statistics Portal, in the section Data Provision.
10.5. Dissemination format - other
The data are sent to Eurostat in line with the technical requirements.
In 2007, a quality management system, conforming to the requirements of the international quality management system standard ISO 9001, was introduced at Statistics Lithuania. The main trends in the 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 to identify areas that need improvement and to promptly eliminate shortcomings.
More information on the assurance of the quality of statistical information and its preparation is published in the Quality in Statistics section on the Statistics Lithuania website.
11.2. Quality management - assessment
Data quality is in line with the principles of relevance, accuracy, timeliness and punctuality, coherence and compatibility. The results of the calculation are compared with the results of the previous year. Standing out values are identified and analysed. In case of significant deviations, the data sources are checked and the reasons for the deviation are determined.
12.1. Relevance - User Needs
The main users of statistical BD statistical data are internal (State and municipal authorities and agencies, the media, research and business communities, students) and external (EUROSTAT, international organisations), whose needs are satisfied without violation of the confidentiality principle. The indicators covering the number of survivals, the average number of employees in the surviving enterprises, and the number of fast-growing companies allow monitoring of business development trends, making relevant decisions that promote entrepreneurship, and analysing of the factors that determine business success.
12.2. Relevance - User Satisfaction
Since 2005, user opinion surveys have been conducted regularly. The Official Statistics Portal traffic is monitored, website visitor opinion polls, general opinion polls 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 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 their results is published in the User Surveys section on the Statistics Lithuania website.
12.3. Completeness
The content and level of detail of the data are fully in line with the EU requirements.
12.3.1. Data completeness - rate
100 per cent of information produced in accordance with the EUROSTAT requirements.
13.1. Accuracy - overall
Not requested.
13.2. Sampling error
Not applicable.
13.2.1. Sampling error - indicators
Not applicable.
13.3. Non-sampling error
2% of enterprises were wrongly designated as active and non-active. Matching procedures were made manually, so the quality of matching procedures depends on a specialist who made that work. We consider that quality procedures are at the required level.
13.3.1. Coverage error
Not requested.
13.3.1.1. Over-coverage - rate
Not requested.
13.3.1.2. Common units - proportion
Not requested.
13.3.2. Measurement error
Not applicable.
13.3.3. Non response error
Not applicable.
13.3.3.1. Unit non-response - rate
Not applicable.
13.3.3.2. Item non-response - rate
Not applicable.
13.3.4. Processing error
No significant processing errors were noticed in the final data collection process.
13.3.5. Model assumption error
Not requested.
14.1. Timeliness
The data is received into the SBR on time, some data on a daily basis.
The time period for BD data collection and dissemination (first release) at the national level is six months after the reference year for preliminary data (number of high-growth enterprises) and eighteen months after the reference year for the final data (number of high-growth enterprises, number of surviving enterprises, average number of employees in surviving enterprises).
14.1.1. Time lag - first result
Not requested.
14.1.2. Time lag - final result
Not requested.
14.2. Punctuality
All the data was sent to EUROSTAT in time.
14.2.1. Punctuality - delivery and publication
Not requested.
15.1. Comparability - geographical
Not requested.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not applicable.
15.2. Comparability - over time
a) First reference year available (calendar year):
2000
b) Breaks in time series and reasons for the breaks:
NACE Rev. 1.1 was used up to reference year 2007. From 2008 onwards NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community) is used for all indicators.
In 2017 due to the need to align BD indicators with SBS indicators for the implementation of the Framework Regulation Integrating Business Statistics (FRIBS). Taking into account Eurostat’s consultations on the given point, changes in employment calculations for BD were made. Previous to 2017 employment data in BD was based on the annual average over the operating period of the enterprise. From the reference year 2017 SBS method for employment calculation was applied, which is based on the annual average figures for enterprise employment.
15.2.1. Length of comparable time series
Business demography: 2008-2022;
Employer business demography: 2009-2022;
High-growth enterprises: 2012-2022.
From 2008 onwards NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community) is used for all indicators.
15.3. Coherence - cross domain
The number of enterprises, number of employees and self-employed, and number of employees are coherent between BD and SBS.
Some incoherence is found in the number of enterprises and the number of persons employed between BD and SBR. It can be explained by the different scope of BD and SBR. SBR covers market and non-market producers, while BD includes market producers only.
15.3.1. Coherence - sub annual and annual statistics
Not applicable.
15.3.2. Coherence - National Accounts
Not requested.
15.4. Coherence - internal
Not requested.
Not requested.
17.1. Data revision - policy
Revision policy is applied only for provisional variables (enterprise deaths and high-grows) with the exception applied to the data for the reference year 2021. The revised data sets for the reference year 2021 were sent to Eurostat in June 2024. The revision was performed due to the modified data production procedures in 2023.
17.2. Data revision - practice
Preliminary data is calculated when the data on deaths and high-grows is not complete, the final data is calculated later, when data on deaths is complete.
Relative Mean Absolute Revisions (RMAR) for enterprise deaths and high-grows (estimated versus final data) was calculated according to the formula ∑ABS(final-preliminary)/ ∑final:
Year of the final data
Indicator
RMAR
2021
Enterprise deaths
0.57
2021
Number of employees and self-employed persons in enterprise deaths
0.23
2021
Number of employees in enterprise deaths
0.57
2021
Enterprises having no employees anymore
0.29
2021
Number of employees and self-employed persons in enterprises having no employees anymore
0.52
2021
Number of employees in enterprises having no employees anymore
0.52
2022
Number of high-growth enterprises
0.44
2022
Number of employees in high-growth enterprises
0.57
17.2.1. Data revision - average size
Revisions are made only when preliminary data is updated to final, due to the timeliness of data sources.
18.1. Source data
a) Type of data source:
Multiple data sources: the data from SBR and SBS are used.
b) Coverage of SBR:
All required activities and legal forms are covered in SBR. No thresholds for inclusion in SBR are applied.
c) Matching, profiling or imputation:
No matching, profiling or imputation is carried out within the source that could make an impact on the matching or imputation specified in the methodological guidelines.
SBR includes cessation and registration dates. In BD registration date is used as birth date only if an enterprise really starts its activity on the registration day. The cessation date is used as a death date when the enterprise really stops its activity on the cessation date. When birth and death dates do not correspond to the dates of the activity start and cessation, dates for birth and death are specified additionally for BD.
No significant changes in the data sources were made.
18.1.1. Concepts and sources
No imputations are done.
18.2. Frequency of data collection
SBR - daily;
SBS - annual.
18.3. Data collection
SBR data are used for the compilation of BD variables. SBR data are received (extracted) from the databases of:
State Enterprise Centre of Registers;
State Tax Inspectorate under the Ministry of Finance of the Republic of Lithuania;
The State Social Insurance Fund Board under the Ministry of Social Security and Labor.
18.3.1. Data matching
a) Data matching process and tools:
Matching is made using SQL queries and Excel spreadsheets. The pair-wise matching recommended by Eurostat was used. The highest number of manual checks was performed by matching the activity / name and activity / location. A total number of 6932 pair-wise cases were manually checked.
b) Matching:
No additional matching procedures, except for the ones specified in the methodological guidelines, were carried out.
No multi-site units were found during the matching process.
The units carrying out activities within NACE Rev. 2 sections A or O were not included in the BD population. Basically, if a unit moved out of scope it was flagged as not active in the population of that reference year, if a unit moved in scope and had either employees or turnover it was flagged as active in the population of that reference year.
In the birth population, 63 cases were discovered in the death population 161 cases.
The main problem during the matching procedures was the amount of manual work, taking a lot of time and affecting the quality of the data.
18.3.2. Manual checks
The large births (20 and more employees or turnover > 50 000) were checked. There were 655 cases of large births. Large deaths were treated the same way as large births. 1770 cases of large death were checked.
More than 107 cases of births were excluded as not real births and almost 162 cases – as not real deaths.
Limited liability companies were found to be real large births and deaths.
Manual checks on the biggest increases or decreases in turnover and the number of persons employed were used to verify the results for surviving enterprises.
18.4. Data validation
Before sending the data to Eurostat, data series are pre-validated in EDAMIS PROD, conducting checks of format and file structure, intra-dataset checks, inter-dataset checks, intra-domain, intra-source checks, consistency checks between BD and SBS. Inter-dataset checks and plausibility or consistency checks between the data available in the Institution and the data / information available outside the Institution are not conducted.
18.5. Data compilation
The missing number of self-employed persons is estimated for both: BD compilation and SBR.
Data from the SBR are used for estimation of preliminary deaths. A preliminary assumption of enterprise death is made when there are no data on the number of employees and turnover.
Enterprises with no employees and self-employed are included when have other indications of activity (e.g., turnover). They made up to 0,03 percent of the population of active enterprises in 2022.
Since 2017 the data from SBS are used for the annual average of employees and self-employed persons in active enterprises. In rare cases when the data is needed either for control purposes or for compilation of BD indicators only and is not provided in SBS the following action can be taken:
When only self-employed persons are working in an enterprise, the annual average is calculated by taking the headcount of self-employed persons per observation period and dividing it by the number of periods in a year.
Estimations of the number of self-employed are done based on the proposed method in Eurostat − OECD Manual on Business Demography Statistics (2007): the number of self-employed is simply estimated by adding an estimate of the number of working proprietors to the number of employees:
sole proprietorship: number of employees + 1
partnership: number of employees + 2
limited liability company: number of employees + 0
The month is used as the shortest observation period for the calculation of the annual average of employees or self-employed persons.
The number of employees and self-employed at the end of the reference year is not used as an approximation for the annual average.
18.5.1. Imputation - rate
Not requested.
18.6. Adjustment
Not applicable.
18.6.1. Seasonal adjustment
Not applicable.
The annual Business demography (BD) data collection covers variables which explain the characteristics and demography of the business population. The methodology allows for the production of data on enterprise births (and deaths), that is, enterprise creations (cessations) that amount to the creation (dissolution) of a combination of production factors and where no other enterprises are involved (enterprises created or closed solely as a result of e.g. restructuring, merger or break-up are not considered).
A summary of the available indicators is listed below. The data is available at EU, country and regional level, with breakdowns for type of activity, legal form and size class.
For the population of active enterprises: • Number of active enterprises • Number of enterprise births • Number of enterprise survivals up to five years • Number of enterprise deaths • Related variables on employment: 'employees' and 'persons employed' (employees and self-employed persons)
For the population of active employer enterprises: • Number of enterprises having at least one employee • Number of enterprises having the first employee • Number of enterprises having no employees anymore • Number of enterprise survivals up to five years • Related variables on employment: 'employees' and 'persons employed' (employees and self-employed persons)
For high-growth enterprises, the following indicators are available at EU and country level: • Number of high-growth enterprises (growth by 10% or more) • Number of employees of high-growth enterprises • Number of young high-growth enterprises (up to five years old high-growth enterprises) • Number of employees of young high-growth enterprise
16 December 2024
BD constitutes an important and integrated part of the EU Regulation 2019/2152 on European Business Statistics (EBS Regulation).
Activity. Activity is defined as any turnover and/or employment and/or investment in the period from 1st January to 31st December in a given year. In employer BD an enterprise is considered active as long as it has at least one employee at any moment of the year. There are no specific inclusions into, and exclusions from the population of active units, e.g. in terms of activity, legal form, location, quality etc. The birth or death dates from the statistical business register (SBR) are not used to decide if units are active.
Enterprise. 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.
Enterprise Birth. A birth amounts to the creation of a combination of production factors with the restriction that no other enterprises are involved in the event. Births do not include entries into the population due to mergers, break-ups, split-offs or restructuring of a set of enterprises. It does not include entries into a sub-population resulting only from a change of activity. A birth occurs when an enterprise actually starts its activity. An enterprise creation can be considered an enterprise birth if new production factors, in particular new jobs, are created. If a dormant unit is reactivated within two years, this event is not considered a birth.
Employer Enterprise Birth. Birth of an enterprise with at least one employee. This population consists of enterprise births that have at least one employee at any time in the birth year and of enterprises that existed before the year in consideration, but were below the threshold of one employee.
Enterprise Death. A death amounts to the dissolution of a combination of production factors with the restriction that no other enterprises are involved in the event. Deaths do not include exits from the population due to mergers, take-overs, break-ups or restructuring of a set of enterprises. It does not include exits from a sub-population resulting only from a change of activity. An enterprise is included in the count of deaths only if it is not reactivated within two years.
Employer enterprise death occurs either as an enterprise death with at least one employee in the year of death or as an exit by decline, moving below the threshold of one employee.
Survival. In the BD context, survival occurs if an enterprise is active in terms of employment and/or turnover and/or investment in the year of birth and the following year(s).
High-Growth Enterprises. Enterprises with at least 10 employees at the beginning of their growth and having average annualised growth in the number of employees greater than 10% per annum, over a three years.
Young high-growth enterprises(Gazelles) are up to five years old with average annualised growth of employees greater than 10% per annum, over a three year period. As growth over three years period is observed, the real age of young enterprises is five and four years.
From 2018 and onwards the enterprise is used as the statistical unit in BD. The statistical unit is defined in accordance with the 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.
The target population is the active market enterprises. The population includes all the economic activities within the NACE Rev. 2, with the exception of Activities of membership organisations (Division S94), Agriculture, Forestry and Fishing (Section A), public administration and Defence, Compulsory Social Security (Section O), Activities of Households as Employers, Undifferentiated Goods and Services Producing Activities of Households for Own Use (Section T), Activities of Extraterritorial organisations and Bodies (Section U).
Size classes (thresholds) are used for the population of employer enterprises (at least one employee) and the population of high-growth enterprises (ten employees in the beginning of the growth).
Lithuania, including branches of foreign enterprises.
2022
Not requested.
The number of active, birth, death and survival enterprises, as well as high-growth enterprises is expressed in units.
The number of employees is counted as head counts and is expressed in units.
The number of persons employed is the sum of number of employees and self-employed persons.
The number of self-employed persons is the average number of persons who were at some time during the reference period the sole owners or joint owners of the statistical unit in which they work, measured in annual average headcounts, expressed in units.
Derived indicators are expressed in units or percentages.
The missing number of self-employed persons is estimated for both: BD compilation and SBR.
Data from the SBR are used for estimation of preliminary deaths. A preliminary assumption of enterprise death is made when there are no data on the number of employees and turnover.
Enterprises with no employees and self-employed are included when have other indications of activity (e.g., turnover). They made up to 0,03 percent of the population of active enterprises in 2022.
Since 2017 the data from SBS are used for the annual average of employees and self-employed persons in active enterprises. In rare cases when the data is needed either for control purposes or for compilation of BD indicators only and is not provided in SBS the following action can be taken:
When only self-employed persons are working in an enterprise, the annual average is calculated by taking the headcount of self-employed persons per observation period and dividing it by the number of periods in a year.
Estimations of the number of self-employed are done based on the proposed method in Eurostat − OECD Manual on Business Demography Statistics (2007): the number of self-employed is simply estimated by adding an estimate of the number of working proprietors to the number of employees:
sole proprietorship: number of employees + 1
partnership: number of employees + 2
limited liability company: number of employees + 0
The month is used as the shortest observation period for the calculation of the annual average of employees or self-employed persons.
The number of employees and self-employed at the end of the reference year is not used as an approximation for the annual average.
a) Type of data source:
Multiple data sources: the data from SBR and SBS are used.
b) Coverage of SBR:
All required activities and legal forms are covered in SBR. No thresholds for inclusion in SBR are applied.
c) Matching, profiling or imputation:
No matching, profiling or imputation is carried out within the source that could make an impact on the matching or imputation specified in the methodological guidelines.
SBR includes cessation and registration dates. In BD registration date is used as birth date only if an enterprise really starts its activity on the registration day. The cessation date is used as a death date when the enterprise really stops its activity on the cessation date. When birth and death dates do not correspond to the dates of the activity start and cessation, dates for birth and death are specified additionally for BD.
No significant changes in the data sources were made.
Annual.
The data is received into the SBR on time, some data on a daily basis.
The time period for BD data collection and dissemination (first release) at the national level is six months after the reference year for preliminary data (number of high-growth enterprises) and eighteen months after the reference year for the final data (number of high-growth enterprises, number of surviving enterprises, average number of employees in surviving enterprises).
Not requested.
a) First reference year available (calendar year):
2000
b) Breaks in time series and reasons for the breaks:
NACE Rev. 1.1 was used up to reference year 2007. From 2008 onwards NACE Rev.2 classification (Statistical Classification of Economic Activities in the European Community) is used for all indicators.
In 2017 due to the need to align BD indicators with SBS indicators for the implementation of the Framework Regulation Integrating Business Statistics (FRIBS). Taking into account Eurostat’s consultations on the given point, changes in employment calculations for BD were made. Previous to 2017 employment data in BD was based on the annual average over the operating period of the enterprise. From the reference year 2017 SBS method for employment calculation was applied, which is based on the annual average figures for enterprise employment.
