Sales of manufactured industrial products
- 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
Information on the type, volume and value of industrial goods produced and sold, industrial services provided, volume of goods produced by sub-contractors and payment received for it meeting the list of industrial products (PRODCOM) is used to find out and analyse directions of market development as well as see the connection between sales of industrial output and foreign trade within and outside the EU.
Classification system
Data are collected and published according to
- List of Products of the European Community (PRODCOM list) (corresponding version of each year);
- Statistical Classification of Economic Activities in the European Union, 2nd revision (NACE Rev. 2);
- Statistical Classification of Products by Activity, Version 2 (CPA Rev. 2).
Sector coverage
N/A
Statistical concepts and definitions
Statistical unit
Economically active enterprises the main or secondary economic activity whereof is industrial production.
Statistical population
Economically active enterprises the main or secondary economic activity of which in compliance with NACE Rev. 2 is can be classified under Section B and C or Class 38.32 of the Section E.
Reference area
N/A
Time coverage
The data are comparable starting with the information on 2000.
Base period
N/A
4. Unit of measure
Sales of manufactured industrial products is measured in euro and in physical measurement unit specific for each product (kg, m2, number, etc.).
5. Reference period
Annual data.
6. Institutional mandate
Legal acts and other agreements
- 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.
- Commission Implementing Regulation (EU) 2022/2552 laying down the technical specifications of data requirements for the detailed topic industrial production statistics establishing the industrial products classification breakdown, pursuant to Regulation (EU) 2019/2152 of the European Parliament and of the Council and amending Commission Implementing Regulation (EU) 2020/1197, as regards the coverage of the product classification.
- Commission Implementing Regulation (EU) 2023/138 of 21 December 2022 laying down a list of specific high-value datasets and the arrangements for their publication and re-use.
Data sharing
N/A
7. Confidentiality
Confidentiality - policy
Confidentiality of the information provided is protected by Statistics Law:
- Section 7, Paragraph two, Clause 8, which sets out the obligation of the statistical institution to ensure statistical confidentiality;
- Section 17, which defines the procedures for data processing and the requirements for data protection;
- Section 19, Paragraph one, which stipulates that official statistics must be disseminated in a way that does not allow either directly or indirectly identify a private individual or a State institution;
- Section 19, Paragraph two, which stipulates that 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
Confidential cells in business statistics are defined by using minimum frequency rule (n) and dominance criterion (n, k).
A cell in a table is considered safe if there are at least four contributors (respondents, n=4) and the share of the largest contributor in the total cell value does not exceed 80 % (1.80) or the share of two largest contributors in the total cell value does not exceed 90 % (2.90).
8. Release policy
Release calendar
All official statistics are released according to the data release 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 a year.
10. Accessibility and clarity
News release
Not published.
Publications
Not published.
On-line database
Micro-data access
For research purposes, anonymized individual data are available through remote access. Depending on the data processing methods required, datasets may be used on the researcher's own infrastructure (OffSite) or via the CSB remote access system (OnSite). Data are provided upon submission of application and, if the CSB issues a positive decision, the conclusion of a contract. Anonymized individual data may be used only for scientific or research purposes, and the research results must provide a benefit to society.
Individual data, or microdata, relate to individual persons, households or enterprises and are obtained from surveys, population censuses and administrative registers.
Dissemination format - other
Not available
Documentation on methodology
- Commission Implementing Regulation (EU) 2020/1197
- European Business Statistics Manual (2021).
Quality documentation
N/A
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
N/A
User satisfaction
The task of the CSB is to produce reliable statistics to support the analysis of socio-economic processes and to inform future decision-making.
Send feedback on data quality to pasts@csp.gov.lv
13. Accuracy and reliability
Overall accuracy
The overall accuracy is affected by the non-response of the respondents, in which case the missing records are obtained by applying the necessary imputation methods.
Sampling error
Sampling errors - indicators for U
N/A
Sampling errors - indicators for P
N/A
Non-sampling error
Unit non-response - rate
The group of enterprises that did not respond to the survey consists of enterprises that did not submit a report at the time of data collection. It consists of enterprises for which the information has been received that they are not operating and do not plan to resume operations, but have not been formally liquidated; these are enterprises that cannot be contacted, as well as enterprises that for various reasons have not submitted or refuse to submit a report.
Coverage error
Within each survey year, there are enterprises that do not correspond to the originally registered activity, change their activity during the year or are legally liquidated. These enterprises form an over-coverage of the sample. During the sampling, the information on the new enterprises to be included in the sample is analysed in detail in order to assess the compliance of the type of activity with the one indicated in the Statistical Business Register, thus reducing the number of enterprises that forma an over-coverage.
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
Some of the data is planned to be imputed (approximately 8–10 %). Data imputations are calculated using the historical data of an enterprise, the growth rate of similar enterprises in the same NACE Class, foreign trade data, management report information in the annual report of an enterprise and the calculated value is selected according to expert’s judgment.
Model assumption error
N/A
14. Timeliness and punctuality
Time lag - final results (detailed information)
T + 11 months
Punctuality rate - delivery and publication
N/A
15. Comparability
Comparability - geographical
EU data on production of manufactured goods
Eurostat (statistical office of the European Union) is publishing high-quality Europe-wide statistics and indicators that enable comparisons between countries and regions – Database.
Statistics for the production of manufactured goods based on PRODCOM list.
Length of comparable time series
Data are collected based on a common methodology since January 2006, using a threshold sample. As the data are collected in a sample survey, the coverage of the sample varies from year to year in each of the NACE Classes.
16. Coherence
Coherence- cross domain
N/A
Coherence - sub annual and annual statistics
N/A
Coherence- National Accounts
N/A
Coherence - internal
N/A
17. Cost and burden
One of the CSB priorities, in line with the strategic directions of the European Statistics System and current approaches to producing statistics, is to collect data through broader use of administrative sources together with regular CSB surveys, while proportionately reducing response burden.
In cooperation with administrative data holders and within the competences set out in the Statistics Law, CSB is addressing the issues related to the use of administrative data to ensure that the sources used are as complete and reliable as possible, helping to reduce the administrative burden on businesses and households.
CSB measures to improve the use of administrative data and reduce response burden (2024) – available in Latvian only.
18. Data revision
Data revision - policy
Revision policy is an important component of good governance practice. The aim of the CSB Revision Policy is to define how the statistics produced and published by the CSB are reviewed and revised. The first chapter explains the main terms used in the document, the second chapter provides a brief description of the CSB Revision Policy, and the third chapter outlined the revision cycle for the statistics produced by the CSB.
Data revision - practice
N/A
Data revision - average size
Revision of the published data is carried out if significant mistakes in enterprise reports are found or if respondent specifies some information.
Revised data are published at next publication time and the last three years are revised.
19. Statistical processing (data source etc.)
Source data
Data on the type, volume and value of goods produced and sold are obtained with the help of enterprise survey conducted based on a threshold sample. The annual official statistics questionnaire 1- Industry was changed notably in 2022 (wen collecting information on 2021) – the title thereof was changed to Types of Industrial Products and Services (until then, the questionnaire 1- Industry was titled Report on Production and Sale of Industrial Goods, Industrial Services Provided).
Changes in the questionnaire were made in compliance with the provisions of the Commission Implementing Regulation (EU) 2020/1197 (Table 26 Country-level business statistics on industrial production included in the Annex 1, Part B) stating that in respect to the products sold and produced a sub-contracted operation should be provided for each PRODCOM list code (List of PRODucts of the European COMmunity)
Frequency of data collection
Once a year
Data collection
Annual data with the help of the report are collected from economically active enterprises the main or secondary activity whereof is industrial production (classified under the Section B and C of the NACE Rev. 2 as well as Class 38.32 of the Section E) and which in industrial production employ 10 or more persons.
Aiming to ensure at least 90 % of the national industrial output during the refence year in each Class of the NACE Rev. 2, in selected sectors also enterprises employing fewer people are surveyed.
Number of enterprises included in the sample
Year | Enterprises |
| 2022 | 2 278 |
2021 | 2 264 |
2020 | 2 468 |
2019 | 2 596 |
2018 | 2 721 |
2017 | 2 847 |
2016 | 2 699 |
2015 | 2 777 |
The largest share of the data is submitted via e-report, other forms of submission (post, e-mail, telephone) are less common.
The sample does not include enterprises information on which is imputed from other surveys and reports.
Data validation
The CSB uses special software for data entry for processing with automatic report management and data validation tools - Integrated Statistical Data Management System. The data submitted by the respondent are compared with the previous year and other reports.
Data compilation
Revision of the published data is carried out if significant mistakes in enterprise reports are found or if respondent specifies some information.
Revised data are published at next publication time and the last three years are revised.
Imputation - rate
N/A
Adjustment
N/A
Seasonal adjustment
N/A