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1.1. Contact organisation | Annex I-IV: Central Statistical Bureau of Latvia |
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1.2. Contact organisation unit | Annex I-IV: Enterprise Structural and Financial Statistics Section |
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1.5. Contact mail address | Annex I-IV: 1, Lāčplēša Str., Riga, LV-1301, Latvia |
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2.1. Metadata last certified | 30/03/2023 | ||
2.2. Metadata last posted | 30/03/2023 | ||
2.3. Metadata last update | 30/03/2023 |
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3.1. Data description | |||
Structural business statistics (SBS) describes the structure, conduct and performance of economic activities, down to the most detailed activity level (several hundred economic sectors). SBS covers all activities of the non-financial business economy with the exception of agricultural activities and personal services. Limited information is available on banking, insurance and pension funds. Main characteristics (variables) of the SBS data category:
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3.2. Classification system | |||
Statistical Classification of Economic Activities in the European Community (NACE): NACE Rev.1 was used until 2001, NACE Rev. 1.1 since 2002, and NACE Rev 2 is used from 2008 onwards. Key data were double reported in NACE Rev.1.1 and NACE Rev.2 for 2008. From 2009 onwards, only NACE Rev.2 data are available. The regional breakdown of the EU Member States is based on the Nomenclature of Territorial Units for Statistics (NUTS). Detailed information about the consecutive NUTS Regulations can be found at Eurostat's website The product breakdown is based on the Classification of Products by Activity (CPA) as stated in the Regulation establishing CPA 2008 and its amending Commission Regulation (EU) No 1209/2014 (from reference year 2015 onwards) |
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3.3. Coverage - sector | |||
The SBS coverage was limited to Sections C to K of NACE Rev.1.1 until 2007. Starting from the reference year 2008 data is available for Sections B to N and Division S95 of NACE Rev.2. With 2013 as the first reference year information is published on NACE codes K6411, K6419 and K65 and its breakdown. |
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3.4. Statistical concepts and definitions | |||
The statistical characteristics are defined in Annex I of Commission Regulation (EC) No 250/2009 |
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3.5. Statistical unit | |||
The SBS data series for the reference year 2020 are fully compliant with the definition of a statistical unit defined in Regulation No 696/93. |
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3.6. Statistical population | |||
Coverage of target population includes branches of foreign enterprises which are registered in State Register of Enterprises, excluding Latvian enterprise branches which are doing business abroad in accordance with Tax Office information. |
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3.7. Reference area | |||
Latvia |
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3.8. Coverage - Time | |||
1997-2020 |
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3.9. Base period | |||
Not applicable. |
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Ratios are expressed in percentages. |
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2020 SBS data refer to the calendar year, only in some cases the data refer to the fiscal year, however the differences are not essential. |
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6.1. Institutional Mandate - legal acts and other agreements | |||
Year 1995 was the first year for the implementation of the Council Regulation No 58/97 (SBS Regulation). The Council Regulation No 58/97 has been amended three times: by Council Regulation No 410/98, Commission Regulation No 1614/2002 and European Parliament and Council Regulation No 2056/2002. As a new amendment of the basic Regulation it was decided to recast the Regulation No 58/97 in order to obtain a new "clean" legal text. The European Parliament and Council Regulation No 295/2008 was adopted on 14/02/2008 and the provisions of this Regulation are applicable from the reference year 2008. Regulation No 295/2008 has been amended by Commission Regulation (EU) No 446/2014. |
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6.2. Institutional Mandate - data sharing | |||
Not applicable. |
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7.1. Confidentiality - policy | |||
Confidentiality of individual data is protected by Statistics Law: Section 7. Competence of the Statistical Institution in Production of Official Statistics
Section 17. Data Processing and Statistical Confidentiality Section 19. Dissemination of Official Statistics
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7.2. Confidentiality - data treatment | |||
The primary confidentiality rules:
The secondary confidentiality criterion is regarded as fulfilled, if the values of confidentiality indicators are not possible to identify through arithmetical operations. In order to ensure it, sometimes additional indicator has to be marked as confidential. Usually a minimum value other than zero is chosen as the additional indicator. The secondary confidentiality is calculated by using T-Argus. The above mentioned confidentiality rules are not applied to the variables 11110, 11210, 11310, 16110, 16130, 16140, 16150 – they are not confidential at any case according to the Statistical Law of Latvia. The turnover (12110) is used as a shadow variable. |
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8.1. Release calendar | |||
All official statistics are published according to the data release calendar, at 13.00. |
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8.2. Release calendar access | |||
Release calendar is accessible for everyone and is published on Central Statistical Bureau of Latvia homepage |
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8.3. Release policy - user access | |||
Statistical release dates and times are pre-announced. The data which is not available in the published publications and in the published on-line databases are provided to everyone with a specific request. |
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Annual |
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10.1. Dissemination format - News release | |||
Press releases are not disseminated, and they are not planned for the next reference year. |
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10.2. Dissemination format - Publications | |||
Electronic version of SBS publication - Statistical yearbook is available in the CSB homepage free of charge. It is disseminated annually in the 1st Quarter and it is available in both languages - in Latvian and in English. Link to the Statistical yearbook: https://stat.gov.lv/en/statistics-themes/economy/national-accounts/publications-and-infographics/1631-statistical-yearbook?themeCode=IK |
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10.3. Dissemination format - online database | |||
SBS data tables are available in national on-line database: https://stat.gov.lv/en/statistics-themes/business/entrepreneurship-indicators Nationally preliminary data is disseminated in T+11, final data in T+19. SBS data tables are available in CSB database:
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10.4. Dissemination format - microdata access | |||
In order to encourage deeper analysis of statistical information and its use in research, the CSB provides access to anonymized individual statistical information for scientific purposes, in the meantime strictly observing the principles of confidentiality. |
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10.5. Dissemination format - other | |||
Not applicable. |
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10.6. Documentation on methodology | |||
Documentation on methodology is available on the Website (electronic version in English). Key structural business indicators: https://stat.gov.lv/en/metadata/2434-key-structural-business-indicators/sims2 Business indicators in monetary intermediation, insurance and pension funding: |
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10.7. Quality management - documentation | |||
See chapter 11. |
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11.1. Quality assurance | |||
CSB has introduced Quality Management System (QMS). The system is directed towards providing high user satisfaction and ensuring compliance with regulatory enactments. Based on the structure of Generic Statistical Business Process Model (GSBPM), QMS defines and at the level of procedures describes processes of statistical production as well as sets the persons responsible for the monitoring of processes at all stages of the statistical production. QMS defines the sequence how processes are implemented (i.e., activities to be performed (incl. verifications of processes and statistics, sequence and implementation requirements thereof, as well as persons responsible for the implementation)), procedures used in the evaluation of processes and statistics, as well as any improvements needed. |
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11.2. Quality management - assessment | |||
Quality of statistics is assessed in accordance with the existing requirements of external and internal regulatory enactments and in accordance with the established quality criteria. Regulation (EC) no 223/2009 of the European Parliament and of the Council on European statistics states that European Statistics shall be developed, produced and disseminated on the basis of uniform standards and of harmonised methods. In this respect, the following quality criteria shall apply: relevance, accuracy, timeliness, punctuality, accessibility, clarity, comparability and coherence. CSB, as the governing body of the national statistical system, has determined common general (institutional level) quality requirements for statistical institutions of Latvia, applying European Statistics Code of Practice. The 16 principles of the European Statistics Code of Practice. Overall assessment of data quality is good. |
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12.1. Relevance - User Needs | |||
Internal users:
External users:
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12.2. Relevance - User Satisfaction | |||
The mission of the CSB is to provide users of statistical information with independent high-quality official statistics for decision-making, research and discussions. Users can provide the opinion on data quality to e-mail: pasts@csp.gov.lv. This option is public and displayed in each metadata description of specific indicators. A survey related to the user's satisfaction regarding the availability and the quality of the data used was not organised. |
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12.3. Completeness | |||
LV does not plan to provide in the next reference years any of the data for which the 1%-rule has been applied. |
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13.1. Accuracy - overall | |||
Estimated coverage error and non-response error are assessed as medium. It was caused by COVID-19 crisis when respondents submitted less questionnaires. Preliminary data does not contain information about companies that are legally authorized to submit data to State Revenue Service with the delay. It is the reason for non-response (non-response error). However, for preliminary data such enterprises are imputed from short term statistics or VAT data in order to reduce differences between preliminary and final data. For the final data these enterprises are updated from submitted questionnaire or administrative data. Measurement, data processing and modelling errors are not measured and could not be assessed. |
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13.2. Sampling error | |||
Cut-off survey is combined with administrative information. |
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13.3. Non-sampling error | |||
Unit non-response The unit non-response is adjusted using imputation. Reminding e-mails are sent to non-respondents, notification about not filled in questionnaire has been shown in the application of web-questionnaire and reminding phone calls are also made in order to minimise the unit non-response. Weighted unit non-response rate NA Bias NA Evaluation of the impact of imputation NA Frame The impact of imperfection of the relevant business register on the quality of the key statistics is assessed as low. Out-of-scope units Estimated number of out-of scope units is 0%. |
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14.1. Timeliness | |||
Data collection: 08/2021 Post-collection phase: 10/2021 (preliminary data), 05/2022 (final data) Dissemination nationally: 11/2021 (preliminary data), 07/2022 (final data) |
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14.2. Punctuality | |||
The data is prepared, transmitted and published according to the plan. |
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15.1. Comparability - geographical | |||
Data are comparable. |
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15.2. Comparability - over time | |||
2005 - 2020 Due to the implementation of new classification NACE rev.2 the data series are not comparable later than 2005. Implementation of statistical unit enterprise does not have significant impact on data comparability. |
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15.3. Coherence - cross domain | |||
Inconsistencies between STS Production in Construction and SBS Production value Differences are explained as:
Inconsistencies between STS Industrial Production output and SBS Production value Differences are explained as:
Inconsistencies between STS Turnover in distributive trade and SBS Turnover Differences are explained as:
Inconsistencies between LCS wages and salaries and number of persons employed and SBS wages and salaries and number of persons employed Differences are explained as:
Inconsistencies between value added in Nacional Accounts (NA) and SBS value added Differences are explained as:
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15.4. Coherence - internal | |||
The outputs of the statistical activity are coherent. |
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Burden on respondents for completing the questionnaire is 11 386 person-hours. 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. |
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17.1. 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 characterises shortly the CSB revision policy, whereas the third chapter stipulates the revision cycle of the statistical data prepared by the CSB. Revision policy according Annex I-IV: Data at T+10 has been considered as provisional but at T+18 as final and has not been changed. Revision policy guidelines 08.09.2022 (PDF, 515 KB)
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17.2. Data revision - practice | |||
Entire population has been covered, when preliminary data is compiled. Differences with the final data occur due to corrections of imputed data and adjustments of population frame. |
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18.1. Source data | |||
Data source is statistical survey combined with administrative sources. The type of sample design - cut-off sample. Selection schemes (sampling rates) - cut-off survey based on the threshold values of enterprises with amount of net turnover by the class of activity and by the number of employees. Threshold values - the strata according to the size groups by employees are as follows: less than 19, more than 20. All enterprises with 20 or more persons employed and all enterprises with turnover that is higher than threshold defined for the corresponding NACE group are surveyed exhaustively. Sample size - 7 585. Several statistical questionnaires are used to compile SBS data, but different sample scopes are always adjusted to the sample of the main SBS surveys “Annual enterprise survey”, “Consolidated annual enterprise survey” using imputation methods to obtain the data on those enterprises, which were not surveyed with those additional questionnaires. Such questionnaires as "Quarterly questionnaire on labour force" and "Questionnaire on costs" are additionally used to compile SBS data. Administrative data sources are provided by The State Revenue Service of Latvia. For the compiling of SBS data, the following sources are used:
The characteristics which are directly available or with a good proxy in the administrative source - 12110, 13210, 13211, 13213, 13320, 16110. The extent to which the administrative source is used:
Access to administrative data is at micro data level. The frequency to which the used administrative data sources are updated is assessed as satisfactory. The administrative data subject to several revisions are with (increasing) degree of completeness. Reporting unit is enterprise. Regarding the frame used for the SBS, turnover and employees' variables are used for identifying principal and secondary activity. The method used for identifying activities is top-down. Updating of the unit's principal activity is carried out in accordance with methodological guidelines and after careful economic indicators analysis (statistical surveys and Tax Office data). Business Register is updated on a monthly basis using the Tax Office data on the employees and tax contributions, as well as using State Register of Enterprises about information on established and liquidated companies. Once a year information is updated about turnover and total balance sheet. Frequency of data collection is annual. |
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18.2. Frequency of data collection | |||
Annual data collection |
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18.3. Data collection | |||
The type of questionnaires used in the survey are electronic format in Electronic Data Collection system on CSB homepage, as well as respondents can print out the paper questionnaires in CSB homepage and submit them by post, send by e-mail or bring them personally. Reminder e-mails are sent as well as reminders by phone are made to companies in order to speed up or increase the rate of response. |
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18.4. Data validation | |||
The following validation rules are applied before the data transmission to Eurostat:
Data editing is done during the data collection period. Data validation rules are described in the data production system MD ISDMS (Metadata Driven Statistical Data Management System) and appear automatically after data entering in the system. Data is corrected manually. Some primary data validation rules are also worked-in the electronic version of the survey (respondent can not transmit the data before those errors are corrected). Data checking and editing of imputed data is also done within the data production system MD ISDMS – errors are detected automatically, corrected and re-imputed. Eurostat provided validation service Input Hall is used for SBS aggregated data checking, where single series, inter series and year to year validation is done. |
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18.5. Data compilation | |||
Imputation procedure relies on available administrative data, as well as information available from the short-term statistics surveys. The characteristics for which a model-based estimate is used: 13110, 13120 (breakdown of expenditures in material costs, services costs and costs for the purchase of goods and services for resale), and all variables starting with 15xxx. SBS characteristics which are not included in the data sources:
Unit non-response: Enterprises, which are included in “large enterprise group” and are surveyed exhaustively and, which did not respond with statistical survey as well as non-sampled enterprises, which are covered by mass imputation, are imputed using the data from administrative sources. Imputation of other statistical survey data, data of previous period (with correction) or donor data imputation is done if no administrative data have been found. Item non-response: Item non-response has been detected and corrected during the data collection period. Inference (grossing-up): Remark: 1) over-coverage errors are assumed as respondents because they represent the total over-coverage in the frame. 2) In the exhaustive enumeration part of survey unit non-response is adjusted using imputation procedure. |
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18.6. Adjustment | |||
Generally, SBS data refer to the calendar year, only in some cases the data refer to the fiscal year, however the differences are not essential. If the reference period differs from the calendar year, there is no correction to bring it in accordance with the reference period. |
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No further comments. |
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