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.
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2.1. Metadata last certified
29 October 2025
2.2. Metadata last posted
31 October 2025
2.3. Metadata last update
29 October 2025
3.1. Data description
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the EBS Implementing Regulation (EU) 2020/1197).
Variables on the country-level business activities in the IFATS data category:
Business activities in foreign control:
210301. Number of foreign-controlled enterprises
220501. Number of employees and self-employed persons in foreign-controlled enterprises
220701. Employee benefits expense in foreign-controlled enterprises
230301. Intramural R & D expenditure in foreign-controlled enterprises
230401. R & D personnel in foreign-controlled enterprises
240301. Total purchases of goods and services of foreign-controlled enterprises
240302. Purchases of goods and services for resale of foreign-controlled enterprises
250601. Net turnover of foreign-controlled enterprises
250701. Value of output of foreign-controlled enterprises
260201. Foreign-controlled enterprises’ gross investment in tangible non-current assets
250801. Value added of foreign-controlled enterprises
Business activities in total economy:
210101. Number of active enterprises
220101. Number of employees and self-employed persons
220301. Employee benefits expense
230101. Intramural R & D expenditure
230201. R & D personnel
240101. Total purchases of goods and services
240102. Purchases of goods and services for resale
250101. Net turnover
250301. Value of output
250401. Value added
260101. Gross investment in tangible non-current assets
3.2. Classification system
Classification systems used in the FATS are as follows:
Statistical classification of economic activities in the European Community (NACE Rev. 2);
List of 2-digit country codes (ISO 3166-1);
Currency codes (ISO 4217).
3.3. Coverage - sector
For all variables except for variables Intramural R & D expenditure, Intramural R & D expenditure in foreign-controlled enterprises, R & D personnel and R & D personnel in foreign-controlled enterprises: Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
For variables Intramural R & D expenditure, Intramural R & D expenditure in foreign-controlled enterprises, R & D personnel and R & D personnel in foreign-controlled enterprises: Market producers of NACE Sections B to F.
3.4. Statistical concepts and definitions
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the Implementing Regulation (EU) 2020/1197).
Foreign affiliate in the framework of outward FATS is an enterprise or branch not resident in the compiling country over which an institutional unit resident in the compiling country has ultimate (direct or indirect) control.
Domestic affiliate shall mean an enterprise resident in the compiling country over which a UCI resident in the same compiling country has control.
Ultimate Controlling Institutional of a foreign affiliate (UCI) shall mean the institutional unit, proceeding up a foreign affiliate’s chain of control, which is not controlled by another institutional unit.
Control is the ability to determine the general policy of the affiliate by choosing appropriate directors, if necessary. In this context, enterprise A is deemed to be controlled by an institutional unit B when B controls, whether directly or indirectly, more than half of the shareholders' voting power or more than half of the shares.
Indirect control means that an institutional unit may have control through another affiliate which has control over enterprise A.
Active enterprise is a statistical units which at any time during the reference period was ‘enterprise’, as defined in Regulation (EEC) No 696/93, and also active during the same reference period. A statistical unit is considered to have been active during the reference period if, in said period, it either realized positive net turnover or produced outputs or had employees or performed investments.
Employees and self-employed persons are persons who work for an observation unit on the basis of a contract of employment and receives compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind; and persons who are the sole owners or joint owners of the statistical unit in which they work. Family workers and outworkers, whose income is a function of the value of the outputs of the statistical unit, are also included.
Employee benefits expense contains all expenses arising in relation with employee benefits, recognized by the statistical unit during the reference period. Those are all forms of consideration given by the statistical unit in exchange for service rendered by employees or for the termination of employment.
Research and experimental development (R & D) comprise creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge. Expenditures on intramural R & D represent the amount of money spent on R & D that is performed within a reporting unit. Intramural R & D expenditures are all current expenditures plus gross fixed capital expenditures for R & D performed within a statistical unit during a specific reference period whatever the source of funds. R & D current expenditures include labour costs for internal R & D personnel and other current costs (costs for external R & D personnel, purchase of services.). Gross fixed capital expenditures for R & D include: acquisition of land, acquisition of buildings, acquisition of information and communication equipment, acquisition of transport equipment, acquisition of other machinery and equipment, acquisition of capitalised computer software, acquisition of other intellectual property products.
R & D personnel in a statistical unit include all persons engaged directly in R & D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit’s R & D activities, as well as those providing direct services for the R & D activities (such as R & D managers, administrators, technicians and clerical staff).
Total purchases of goods and services contains all amount of goods and services purchased by the statistical unit, recognized in accounting as either current assets or expenses during the reference period.
Purchases of goods and services for resale in are purchases of goods for resale to third parties without further processing. It also includes purchases of services by ‘invoicing’ service companies, i.e. those whose turnover is composed not only of agency fees charged on a service transaction (as in the case of estate agents) but also the actual amount involved in the service transaction, e.g. transport purchases by travel agents.
Net turnover consists of all income arising during the reference period in the course of ordinary activities of the statistical unit, and is presented net of all price reductions, discounts and rebates granted by it.
Value of output represents the value of the total output of the statistical unit, generated during the reference period.
Value added is a composite indicator of net operating income, adjusted for depreciation, amortization and employee benefits, all components being recognized as such by the statistical unit during the reference period.
Gross investment in tangible non-current assets includes all additions to tangible non-current assets, recognized as such by the statistical unit during the reference period, except any increases from revaluations or reversals of previously recognized impairment losses and from reclassifications (transfers) of other tangible non-current assets.
Special Purpose Entities (SPE) are included in the inward FATS population if they fulfil the definition of a statistical unit enterprise and have a non-zero net turnover, output, employment.
In cases of equally shared control, the dominant investor was identified. Where it was not possible to identify a dominant investor, the UCI was attributed as described below:
To one country – when both investors are units of the same country, or when one of the investors is an EU unit (the EU unit is considered the UCI);
To aggregate Z12 – when investors are resident in different EU Member States;
To aggregate D09 – when investors are resident in different non-EU Member States.
In cases of equally shared control, when one investor is resident in our country, the other – in a foreign country, we attribute enterprises to the nationally-controlled ones.
In cases of multiple minority ownership, the dominant investor was identified. Where this was not possible, UCI was attributed as described below:
To one country – when investors from the same country together hold the majority of votes;
To aggregate Z12 – when investors from different Member States together hold the majority of votes;
To aggregate D09 – when investors from different non-EU Member States together hold the majority of votes.
3.5. Statistical unit
The statistical unit of FATS is the enterprise as defined in line with the Regulation (EEC) No 696/93 on the statistical units for the observation and analysis of the production system in the Community.
3.6. Statistical population
For all variables except for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
For variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
3.7. Reference area
Reference area is Lithuania.
3.8. Coverage - Time
Data are available from 2003 till 2023.
3.9. Base period
Not applicable.
Number of enterprises and employment variables are recorded in absolute figures.
Monetary data of enterprises are recorded in thousands of €.
Data refer to the financial year, which in most cases corresponds to the calendar year.
6.1. Institutional Mandate - legal acts and other agreements
In the process of statistical data collection, processing and analysis and dissemination of statistical information, State Data Agency (Statistics Lithuania) fully guarantees 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
7.2. Confidentiality - data treatment
Primary and secondary confidentiality rules were applied. Data are considered 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. The identification of confidential data was carried out using T-Argus software. Confidentiality was analyzed manually to reduce the number of confidential cells.
Please see Table 7.2 in the Annex at the bottom.
8.1. Release calendar
Statistical information is published 20 months after the end of the reference period in accordance with the Official Statistics Calendar.
Statistical information is prepared and disseminated under the principle of impartiality and objectivity, i.e. in a systematic, reliable and unbiased manner, following professional and ethical standards (the European Statistics Code of Practice), and the policies and practices followed are transparent to users and survey respondents.
All users have equal access to statistical information. 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 news subscribers.
Statistical information is published following the Official Statistics Dissemination Policy Guidelines and the Rules for Information Dissemination and Communication of the State Data Agency, approved by Order No DĮ-208 of 8 October 2024 of the Director General of the State Data Agency.
Annual for all variables except for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
Biennial (every odd-numbered year) for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
10.1. Dissemination format - News release
No press release concerning the results of IFATS data is issued.
10.2. Dissemination format - Publications
No publication is planned for the current year.
10.3. Dissemination format - online database
IFATS statistics are disseminated in Database of Indicators (Business statistics -> Business structure and finance -> Indicators of foreign-controlled enterprises).
The indicators database page is intended for viewing and analysing statistical information. More information about Database of Indicators is available in Database of Indicators user's guide.
10.3.1. Data tables - consultations
Not available.
10.4. Dissemination format - microdata access
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 (only in Lithuanian). More information is available on the Official Statistics Portal, in the section Data Provision.
State Data Agency exchange microdata with other countries for purpose to ensure quality of the cross-border information.
Statistical information can also be provided upon individual requests (more information is available on the Official Statistics Portal, in section Services).
More information on assurance of quality of statistical information and its preparation is published in the Quality Management section on the State Data Agency (Statistics Lithuania) website.
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 statistical results meets the requirements of relevance, accuracy, timeliness and punctuality, coherence and comparability.
Statistical information is considered reliable due to thorough verification and validation of the data. The consistency of the data is checked, and survey results are compared with the results of the previous year. In the event of significant deviations, data providers are contacted, and reasons for the deviation are identified.
12.1. Relevance - User Needs
Main users of statistical information are State and municipal authorities and agencies, international organisations, the media, research and business communities, students, whose needs are satisfied without a breach of the confidentiality principle. Performance data of foreign-controlled enterprises are an important source of information about globalization processes.
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.
12.3. Completeness
All indicators established by legislation and their components are produced.
12.3.1. Data completeness - rate
Please see Table 12.3.1 in the Annex at the bottom.
13.1. Accuracy - overall
The overall accuracy of the results can be assessed as good. The Inward FATS data are a subset of the SBS data; therefore, all economic characteristics are obtained from the SBS survey, which meets all quality requirements.
The country of the UCI is identified using the FDI survey, EuroGroups Register (EGR) and administrative data sources. All required data have been obtained. Cases with contradictory information were analysed to identify the most reliable data source.
13.1.1. Use of residual geographic codes (Extra EU-27 not allocated, etc.)
The geographic code Extra-EU27 not allocated was used in exceptional cases.
Please see Table 13.1 in the Annex at the bottom.
13.1.2. UCI Approach applied to identify the relevant population of reporting units
UCI was identified using FDI survey (30%), EuroGroups Register (40%), administrative sources (30%).
13.1.3. Update date (or frequency of updates) of the information regarding the country of the UCI by the “source administration”
Information on controlling and controlled units is reported for the State Tax Authority annually by the 1st June (t+5) and this information is available for statisticians from the end of June.
Information on UCI is available in the Annual reports 5th month after the end of financial year.
13.1.4. Description of other method used to improve the accuracy of the UCI
Manual profiling of the top list of foreign affiliates is curried out.
13.2. Sampling error
Sampling errors are not calculated. All required data are collected from the statistical surveys and administrative data sources.
13.2.1. Sampling error - indicators
Sampling errors are not calculated. All required data are collected from the statistical surveys and administrative data sources.
13.3. Non-sampling error
Non-sampling errors are not calculated.The Inward FATS population is a subpopulation of the SBS; for all SBS statistical units, the UCI country was identified.
13.3.1. Coverage error
The Inward FATS population is a subpopulation of the SBS; for all SBS statistical units, the UCI country was identified.
13.3.1.1. Over-coverage - rate
Over-coverage cases not identified.
13.3.1.2. Common units - proportion
There were no duplicate units.
13.3.1.3. Misclassification errors
Manual profiling is applied to identify which data source is more reliable.
13.3.1.4. Under- and over-coverage problems
Not applicable. Under- and over-coverage cases were not identified.
13.3.2. Measurement error
All numerical values are taken from the Structural Business Statistics survey and are validated as correct.
13.3.3. Non response error
All required data are obtained from statistical surveys and administrative sources.
13.3.3.1. Unit non-response - rate
Unit non-response rate is not calculated because all data required to the survey are obtained from other statistical surveys and administrative sources.
See Table 13.3.3 in the Annex at the bottom.
13.3.3.2. Item non-response - rate
Item non-response rate is not calculated. All data required to the survey are obtained from other statistical surveys and administrative sources.
See Table 13.3.3 in the Annex at the bottom.
13.3.4. Processing error
There were no processing errors.
13.3.5. Model assumption error
There were no model assumption errors.
14.1. Timeliness
Statistical data are collected up to 18 months after the end of the reference year. Statistical information is published 20 months after the end of the reference year.
14.1.1. Time lag - first result
Statistical information is published 20 months after the end of the reference year.
14.1.2. Time lag - final result
Statistical information is published 20 months after the end of the reference year.
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.
14.2.1. Punctuality - delivery and publication
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
Statistical information is comparable across the EU.
15.1.1. Asymmetry for mirror flow statistics - coefficient
Not available.
15.2. Comparability - over time
The length of the time series is 2003-2023.
15.2.1. Length of comparable time series
Length of comparable time series:
2003–2007
2008–2020
2021 onwards.
15.2.2. Reasons and differences in concepts and measurement methods for breaks in time series
2003-2007: NACE Rev. 1.1 activity classification was in use. Starting from 2008 NACE Rev. 2 was implemented.
2008-2020: Starting from reference year 2021 a change of statistical unit (from legal unit to enterprise). In reference year 2021 a new Regulation (EU) 2019/2152 (EBS Regulation) replaced the old FATS regulation introducing some changes such as:
extension in coverage (NACE);
change in coverage of the basic statistics (national SBS: inclusion of micro enterprises);
changes in definition of characteristics.
15.3. Coherence - cross domain
All inward FATS indicators are fully coherent with SBS and R&D statistics. There are no significant discrepancies with other statistical domains.
15.3.1. Coherence - sub annual and annual statistics
Not applicable.
15.3.2. Coherence - National Accounts
Not available.
15.3.3. Coherence – National Statistical Business Register (NSBR)
There is no inconsistency between Inward FATS and NSBR.
15.3.4. Coherence – Structural Business Statistics (SBS)
Inward FATS statistic is fully compatible with SBS.
15.3.5. Coherence – R & D
The inconsistency with R&D is insignificant.
15.3.6. Coherence – Foreign Direct Investment (FDI)
The inconsistency with FDI is insignificant.
15.3.7. Coherence – EuroGroups Register (EGR)
The inconsistency with the EGR is insignificant.
15.4. Coherence - internal
Statistical information is fully coherent internally.
In 2023, EUR 11,3 thousand were allocated for the statistical survey of foreign-controlled enterprises.
The data required for the preparation of inward FATS statistic are obtained from other statistical surveys and administrative data sources. In this case, there is no statistical reporting burden on respondents.
The data for the reference year 2022 have been revised due to updated SBS data.
17.2.1. Data revision - average size
Name of the indicator
Change of values (% )
210101. Number of active enterprises
1,12
210301. Number of foreign-controlled enterprises
0,02
220101. Number of employees and self-employed persons
0,29
220301. Employee benefits expense
0,00
220501. Number of employees and self-employed persons in foreign-controlled enterprises
0,00
220701. Employee benefits expense in foreign-controlled enterprises
0,77
240101. Total purchases of goods and services
0,76
240102. Purchases of goods and services for resale
1,81
240301. Total purchases of goods and services of foreign-controlled enterprises
0,02
240302. Purchases of goods and services for resale of foreign-controlled enterprises
0,68
250101. Net turnover
0,58
250301. Value of output
0,22
250401. Value added
0,08
250601. Net turnover of foreign-controlled enterprises
0,00
250701. Value of output of foreign-controlled enterprises
0,33
250801. Value added of foreign-controlled enterprises
0,08
260101. Gross investment in tangible non-current assets
0,00
260201. Foreign-controlled enterprises’ gross investment in tangible non-current assets
0,00
18.1. Source data
UCI information is obtained from different data sources:
Foreign Direct Investment data (30 %)
administrative sources (30 %)
EuroGroups Register (40 %).
18.1.1. Methodological approach
The annual Foreign Direct Investment (FDI) survey is a data source used to identify the inward IFATS population and the country of residence of UCI. The FDI questionnaire contains questions concerning ownership and UCI. As the FDI survey is a sample survey, additional sources were used to identify the IFATS population and UCI. The Enterprise Groups Register and data from the State Tax Authority on controlled and controlling units and persons were used to supplement the IFATS population. Annual reports and other publicly available sources were used as additional sources to identify UCI in difficult cases.
The Structural Business Statistics (SBS) survey is the source of economic characteristics.
18.1.2. Use of cut-off thresholds
No thresholds are applied.
18.2. Frequency of data collection
Data is collected annually.
18.3. Data collection
Sources used to define the inward IFATS population:
30 % – Foreign Direct Investment (FDI) survey;
40 % – EuroGroups Register (EGR);
30 % – Administrative sources.
18.4. Data validation
To ensure statistical data quality, data checking and validation is performed. Differences between data from various sources are analyzed, and the most reliable data source is identified. Aggregated information is compared with data from previous periods. The largest discrepancies are examined, the reasons for changes are determined, and erroneous data are corrected. The data are checked for compliance with the data quality requirements set by Eurostat.
18.5. Data compilation
Aggregated statistical information is calculated by summing the data according to types of economic activity and by country.
18.5.1. Imputation - rate
All data required for the inward FATS statistic are obtained from the statistical surveys and administrative data sources.
18.5.2. Use of a method to deal with non-response (both unit and item non-response)
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the EBS Implementing Regulation (EU) 2020/1197).
Variables on the country-level business activities in the IFATS data category:
Business activities in foreign control:
210301. Number of foreign-controlled enterprises
220501. Number of employees and self-employed persons in foreign-controlled enterprises
220701. Employee benefits expense in foreign-controlled enterprises
230301. Intramural R & D expenditure in foreign-controlled enterprises
230401. R & D personnel in foreign-controlled enterprises
240301. Total purchases of goods and services of foreign-controlled enterprises
240302. Purchases of goods and services for resale of foreign-controlled enterprises
250601. Net turnover of foreign-controlled enterprises
250701. Value of output of foreign-controlled enterprises
260201. Foreign-controlled enterprises’ gross investment in tangible non-current assets
250801. Value added of foreign-controlled enterprises
Business activities in total economy:
210101. Number of active enterprises
220101. Number of employees and self-employed persons
220301. Employee benefits expense
230101. Intramural R & D expenditure
230201. R & D personnel
240101. Total purchases of goods and services
240102. Purchases of goods and services for resale
250101. Net turnover
250301. Value of output
250401. Value added
260101. Gross investment in tangible non-current assets
29 October 2025
Foreign Affiliates Statistics (FATS) measure the commercial presence through affiliates in foreign markets.
Inward foreign affiliates statistics (IFATS) shall mean statistics describing the activity of foreign affiliates resident in the compiling country.
In country-level business statistics foreign-controlled enterprise shall mean an enterprise resident in the compiling country over which an ultimate controlling institutional unit not resident in the compiling country has control.(Table 14 of the Implementing Regulation (EU) 2020/1197).
Foreign affiliate in the framework of outward FATS is an enterprise or branch not resident in the compiling country over which an institutional unit resident in the compiling country has ultimate (direct or indirect) control.
Domestic affiliate shall mean an enterprise resident in the compiling country over which a UCI resident in the same compiling country has control.
Ultimate Controlling Institutional of a foreign affiliate (UCI) shall mean the institutional unit, proceeding up a foreign affiliate’s chain of control, which is not controlled by another institutional unit.
Control is the ability to determine the general policy of the affiliate by choosing appropriate directors, if necessary. In this context, enterprise A is deemed to be controlled by an institutional unit B when B controls, whether directly or indirectly, more than half of the shareholders' voting power or more than half of the shares.
Indirect control means that an institutional unit may have control through another affiliate which has control over enterprise A.
Active enterprise is a statistical units which at any time during the reference period was ‘enterprise’, as defined in Regulation (EEC) No 696/93, and also active during the same reference period. A statistical unit is considered to have been active during the reference period if, in said period, it either realized positive net turnover or produced outputs or had employees or performed investments.
Employees and self-employed persons are persons who work for an observation unit on the basis of a contract of employment and receives compensation in the form of wages, salaries, fees, gratuities, piecework pay or remuneration in kind; and persons who are the sole owners or joint owners of the statistical unit in which they work. Family workers and outworkers, whose income is a function of the value of the outputs of the statistical unit, are also included.
Employee benefits expense contains all expenses arising in relation with employee benefits, recognized by the statistical unit during the reference period. Those are all forms of consideration given by the statistical unit in exchange for service rendered by employees or for the termination of employment.
Research and experimental development (R & D) comprise creative and systematic work undertaken in order to increase the stock of knowledge – including knowledge of humankind, culture and society – and to devise new applications of available knowledge. Expenditures on intramural R & D represent the amount of money spent on R & D that is performed within a reporting unit. Intramural R & D expenditures are all current expenditures plus gross fixed capital expenditures for R & D performed within a statistical unit during a specific reference period whatever the source of funds. R & D current expenditures include labour costs for internal R & D personnel and other current costs (costs for external R & D personnel, purchase of services.). Gross fixed capital expenditures for R & D include: acquisition of land, acquisition of buildings, acquisition of information and communication equipment, acquisition of transport equipment, acquisition of other machinery and equipment, acquisition of capitalised computer software, acquisition of other intellectual property products.
R & D personnel in a statistical unit include all persons engaged directly in R & D, whether employed by the statistical unit or external contributors fully integrated into the statistical unit’s R & D activities, as well as those providing direct services for the R & D activities (such as R & D managers, administrators, technicians and clerical staff).
Total purchases of goods and services contains all amount of goods and services purchased by the statistical unit, recognized in accounting as either current assets or expenses during the reference period.
Purchases of goods and services for resale in are purchases of goods for resale to third parties without further processing. It also includes purchases of services by ‘invoicing’ service companies, i.e. those whose turnover is composed not only of agency fees charged on a service transaction (as in the case of estate agents) but also the actual amount involved in the service transaction, e.g. transport purchases by travel agents.
Net turnover consists of all income arising during the reference period in the course of ordinary activities of the statistical unit, and is presented net of all price reductions, discounts and rebates granted by it.
Value of output represents the value of the total output of the statistical unit, generated during the reference period.
Value added is a composite indicator of net operating income, adjusted for depreciation, amortization and employee benefits, all components being recognized as such by the statistical unit during the reference period.
Gross investment in tangible non-current assets includes all additions to tangible non-current assets, recognized as such by the statistical unit during the reference period, except any increases from revaluations or reversals of previously recognized impairment losses and from reclassifications (transfers) of other tangible non-current assets.
Special Purpose Entities (SPE) are included in the inward FATS population if they fulfil the definition of a statistical unit enterprise and have a non-zero net turnover, output, employment.
In cases of equally shared control, the dominant investor was identified. Where it was not possible to identify a dominant investor, the UCI was attributed as described below:
To one country – when both investors are units of the same country, or when one of the investors is an EU unit (the EU unit is considered the UCI);
To aggregate Z12 – when investors are resident in different EU Member States;
To aggregate D09 – when investors are resident in different non-EU Member States.
In cases of equally shared control, when one investor is resident in our country, the other – in a foreign country, we attribute enterprises to the nationally-controlled ones.
In cases of multiple minority ownership, the dominant investor was identified. Where this was not possible, UCI was attributed as described below:
To one country – when investors from the same country together hold the majority of votes;
To aggregate Z12 – when investors from different Member States together hold the majority of votes;
To aggregate D09 – when investors from different non-EU Member States together hold the majority of votes.
The statistical unit of FATS is the enterprise as defined in line with the Regulation (EEC) No 696/93 on the statistical units for the observation and analysis of the production system in the Community.
For all variables except for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
For variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
Reference area is Lithuania.
Data refer to the financial year, which in most cases corresponds to the calendar year.
The overall accuracy of the results can be assessed as good. The Inward FATS data are a subset of the SBS data; therefore, all economic characteristics are obtained from the SBS survey, which meets all quality requirements.
The country of the UCI is identified using the FDI survey, EuroGroups Register (EGR) and administrative data sources. All required data have been obtained. Cases with contradictory information were analysed to identify the most reliable data source.
Number of enterprises and employment variables are recorded in absolute figures.
Monetary data of enterprises are recorded in thousands of €.
Aggregated statistical information is calculated by summing the data according to types of economic activity and by country.
UCI information is obtained from different data sources:
Foreign Direct Investment data (30 %)
administrative sources (30 %)
EuroGroups Register (40 %).
Annual for all variables except for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to N and P to R and divisions S95 and S96;
Biennial (every odd-numbered year) for variables 230101 (Intramural R & D expenditure), 230301 (Intramural R & D expenditure in foreign-controlled enterprises), 230201 (R & D personnel) and 230401 (R & D personnel in foreign-controlled enterprises): Market producers of NACE Sections B to F.
Statistical data are collected up to 18 months after the end of the reference year. Statistical information is published 20 months after the end of the reference year.
Statistical information is comparable across the EU.
