Indicators of activity of Latvian affiliates abroad
- 1. Contact
- 2. Metadata update
- 3. Statistical presentation
- 4. Unit of measure
- 5. Reference period
- 6. Institutional mandate
- 7. Confidentiality
- 8. Release policy
- 9. Frequency of dissemination
- 10. Accessibility and clarity
- 11. Quality management
- 12. Relevance
- 13. Accuracy and reliability
- 14. Timeliness and punctuality
- 15. Comparability
- 16. Coherence
- 17. Cost and burden
- 18. Data revision
- 19. Statistical processing (data source etc.)
- 20. Comment
1. Contact
Responsible agency
Unit
Contact person
Position
Post address (agency)
Email (agency)
Phone
2. Metadata update
Metadata last certified
Metadata published
Metadata last updated
3. Statistical presentation
Data description
Data on indicators of activity of Latvian affiliates abroad are used to obtain information on the number of such enterprises, number of employees and turnover abroad in breakdown by kind of economic activity and region.
Classification system
Indicators of activity of foreign affiliates in Latvia are published on the basis of the following classifications:
- Statistical Classification of Economic Activities in the European Community, Rev. 2 (NACE Rev. 2);
- Country codes and codes for their subdivisions (ISO 3166-1).
Sector coverage
Covers NACE Rev. 2 classification section B-S with the exception of O and S94.
Statistical concepts and definitions
Statistical unit
The statistics refer to Latvian enterprises with a subsidiaries or branches abroad.
Statistical population
All economically active Latvian enterprises with a subsidiaries or branches abroad.
Reference area
N/A
Time coverage
Data are available since 2008.
Base period
N/A
4. Unit of measure
- number;
- thsd euro.
5. Reference period
Annual data.
6. Institutional mandate
Legal acts and other agreements
From 2021:
- Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics, repealing 10 legal acts in the field of business statistics;
- Commission Implementing Regulation (EU) 2020/1197 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics repealing 10 legal acts in the field of business statistics.
Until 2020:
- Regulation (EC) No 716/2007 of the European Parliament and of the Council on Community statistics on the structure and activity of foreign affiliates;
- Commission Regulation (EC) No 364/2008 implementing Regulation (EC) No 716/2007 of the European Parliament and of the Council, as regards the technical format for the transmission of foreign affiliates statistics and the derogations to be granted to Member States;
- Commission Regulation (EC) No 747/2008 amending Regulation (EC) No 716/2007 of the European Parliament and of the Council on Community statistics on the structure and activity of foreign affiliates, as regards the definitions of characteristics and the implementation of NACE Rev. 2;
- Commission Regulation (EC) No 834/2009 implementing Regulation (EC) No 716/2007 of the European Parliament and of the Council on Community statistics on the structure and activity of foreign affiliates, as regards the quality reports.
Data sharing
N/A
7. Confidentiality
Confidentiality - policy
Confidentiality of the information provided is protected by Statistics Law:
Section 7. Competence of the Statistical Institution in Production of Official Statistics
- (2) The statistical institution shall:
- 8) ensure statistical confidentiality in accordance with the procedures laid down in this Law;
Section 17. Data Processing and Statistical Confidentiality
Section 19. Dissemination of Official Statistics
- (1) The statistical institution shall disseminate official statistics in a way that does not allow either directly or indirectly identify a private individual or a State institution in cases other than those laid down in Section 25 of this Law.
- (2) The statistical institution shall publish the official statistics which have been produced within the framework of the Official Statistics Programme in a publicly available form and by a predetermined deadline on the portal of official statistics. Until the moment of publication of official statistics this statistics shall not be published.
Confidentiality - data treatment
Primary confidentiality
In enterprise statistics cells are defined as confidential according to threshold rule and dominance rule (n,k). Cells are safe to be published if contributed by at least 4 respondents (n=4) as well as share of a single contributor is less than 80% (1,80) or two contributors share is less than 90% (2,90).
Secondary confidentiality
To ensure protection of aggregated data, secondary confidentiality is applied to supress additional cells, thus protecting primary confidential cells. We select secondary confidential cells to provide adequate protection while minimizing information loss.
Applicable secondary confidentiality determination criteria:
- Secondary confidentiality is determined using T-Argus software, which performs automatic secondary confidentiality calculation.
- Secondary confidential cells are selected manually.
8. Release policy
Release calendar
All official statistics are published according to the advance dissemination calendar, at 13:00.
Release calendar access
User access
Statistical release dates and times are pre-announced in the data dissemination calendar.
9. Frequency of dissemination
Data are published once per year.
10. Accessibility and clarity
News release
N/A
Publications
N/A
On-line database
Micro-data access
It is possible to use remote access to anonymized individual data in research. Depending on the additional data processing methods applied, the datasets are available for use on the researcher's infrastructure (OffSite) or on the remote access system of the Central Statistical Bureau (OnSite). The data are available if application is filled in and contract is concluded in case of positive decision from the Central Statistical Bureau. Anonymized individual data can be only used for scientific or research purposes, moreover, research result has to assure benefit to all society.
Individual data or microdata are records from surveys, population censuses or registers on individuals, households or enterprises.
Dissemination format - other
N/A
Documentation on methodology
From 2021:
- Commission Implementing Regulation (EU) 2020/1197 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics repealing 10 legal acts in the field of business statistics.
- European business statistics compilers’ manual for foreign affiliates statistics.
Until 2020:
- Commission Regulation (EC) No 747/2008 amending Regulation (EC) No 716/2007 of the European Parliament and of the Council on Community statistics on the structure and activity of foreign affiliates, as regards the definitions of characteristics and the implementation of NACE Rev. 2;
- Foreign AffiliaTes Statistics (FATS) Recommendations Manual 3rd edition.
Quality documentation
Metadata produced by Eurostat (Statistical Office of the European Union).
11. Quality management
Quality assurance
To achieve high user satisfaction and ensure compliance with regulatory requirements, the CSB has introduced a Quality Management System (QMS). The system defines and, at the procedural level, describes processes of statistical production and identifies the persons responsible for their monitoring throughout all production stages. Its structure follows the principles of the Generic Statistical Business Process Model (GSBPM).
The QMS sets out the sequence in which processes are implemented – that is, the activities to be performed, including verifications of processes and produced statistics, the order and implementation requirements of these activities, and the persons responsible for their execution. It also defines the approach to evaluating production processes and their outcomes, and to implementing necessary improvements.
The CSB quality management system is certified to the ISO 9001:2015 standard Quality management systems — Requirements since 2018 (scope of certification: development, production and dissemination of official statistics). The original certification audit was performed by BM Trada Latvija SIA and a recertification audit, in 2024, was performed by Bureau Veritas Latvia SIA.
The CSB information security management system is certified to the ISO/IEC 27001:2022 standard Information security, cybersecurity and privacy protection — Information security management systems — Requirements since 2017 (scope of certification: collection, processing and storage of information and data for functions of the Central Statistical Bureau of Latvia. Provision of statistical information for inland and foreign users). The original certification audit was performed by BM Certification SIA and a recertification audit, in 2024, was performed by Bureau Veritas Latvia SIA.
Quality assessment
The quality of statistics is assessed in accordance with the existing requirements of both external and internal regulatory enactments, as well as the established quality criteria.
Regulation (EC) No 223/2009 of the European Parliament and of the Council on European statistics stipulates that European statistics shall be developed, produced and disseminated on the basis of uniform standards and harmonised methods. In this context, the following quality criteria shall apply: relevance, accuracy, timeliness, punctuality, accessibility, clarity, comparability and coherence.
As the national statistical institute and the principal authority of the national statistical system, the CSB has set common general institutional-level quality requirements for authorities responsible for producing or providing national statistics. These requirements are based on the European Statistics Code of Practice, which comprises 16 principles.
The overall assessment of data quality is good.
12. Relevance
User Needs
Data users are the European Commission and international organisations, ministries, chambers of commerce, trade unions, journalists, researchers and others. The needs of the data users go beyond what can be provided by the data producers.
User satisfaction
CSB aims to produce reliable statistics, which serve as a basis for analysing socio-economic trends and informing decisions. Feedback on data quality can be sent by the e-mail to pasts@csp.gov.lv
13. Accuracy and reliability
Overall accuracy
Sampling error
N/A
Sampling errors - indicators for U
N/A
Sampling errors - indicators for P
N/A
Non-sampling error
N/A
Unit non-response - rate
N/A
Coverage error
N/A
Over-coverage - rate
N/A
Common units - proportion
N/A
Measurement error
N/A
Non-response error
N/A
Unit non-response - rate
N/A
Item non-response rate
N/A
Processing error
N/A
Model assumption error
N/A
14. Timeliness and punctuality
Time lag - final results (detailed information)
20 months
Punctuality rate - delivery and publication
Data are prepared and published according to the data dissemination calendar.
15. Comparability
Comparability - geographical
The data are comparable across all EU countries. Data on activities of Latvian affiliates abroad are published on Eurostat website here: Globalisation in business statistics.
Length of comparable time series
Comparable data are available for the time period since 2008.
16. Coherence
Coherence- cross domain
The data are coherent with structural business statistics.
Coherence - sub annual and annual statistics
N/A
Coherence- National Accounts
N/A
Coherence - internal
Statistical data are coherent.
17. Cost and burden
In line with the strategic directions of the European Statistics System and latest trends in statistical production, continuous use of information acquired in regular CSB surveys and proportionate reduction of the response burden are among the key CSB priorities.
In cooperation with holders of administrative data and in line with the competences provided for in the Statistics Law, CSB is striving to solve the issues related to the use of administrative data sources, thus aiming to acquire as comprehensive and high-quality administrative data allowing to reduce response burden on enterprises and households as possible.
CSB measures to improve use of administrative data and reduce response burden taken in 2024 (in Latvian only).
18. Data revision
Data revision - policy
Revision Policy is an important component of good governance practice addressed more and more often in the international statistical society. The objective of the Revision Policy is to lay down the order of review or revision of the prepared and published data. The first chapter of the present document explains the terms applied in the Revision Policy, the second chapter shortly characterises the CSB Revision Policy, whereas the third chapter stipulates the revision cycle of the statistical data produced by the CSB.
Data revision - practice
Published data are final and are not reviewed, excluding cases when significant mistakes are found in enterprise reports.
Data revision - average size
N/A
19. Statistical processing (data source etc.)
Source data
Data on indicators of activity of Latvian affiliates abroad are obtained conducting a full-scope survey. Data are compiled from:
- The CSB survey Report on activities of a foreign affiliate;
- The EuroGroups register (EGR) (hosted by Eurostat, the statistical office of the European Union).
Frequency of data collection
Annual.
Data collection
All economically active Latvian enterprises with a subsidiaries or branches abroad.
Sample size
| Year | Latvian foreign affiliates |
| 2023 | 640 |
| 2022 | 584 |
| 2021 | 632 |
| 2020 | 537 |
| 2019 | 558 |
| 2018 | 482 |
| 2017 | 459 |
| 2016 | 412 |
| 2015 | 476 |
| 2014 | 344 |
| 2013 | 299 |
| 2012 | 238 |
| 2011 | 225 |
| 2010 | 160 |
| 2009 | 126 |
| 2008 | 135 |
Data validation
The data analysis process is related to data verification. The examination of summary data is carried out following the examination and correction of the data at pre-data level and the preparation of the data summaries.
The summary data are being verified using multiple methods:
- a comparison of indicators with data from the previous period;
- a comparison of indicators with the European Groups Register database;
- an examination of logical relationships between indicators within one and multiple data series.
Data compilation
Calculation methods
The main published indicators are turnover, number of persons employed, number of enterprises.
The number of enterprises includes the number of enterprises controlled by Latvia abroad.
Turnover item of Profit or Loss Statement "net turnover" minus operating subsidies.
Number of employed persons is expressed as an average annual indicators.
Imputation - rate
N/A
Adjustment
N/A
Seasonal adjustment
N/A