Turnover Indices in Section G 'Wholesale and Retail Trade; Repair of Motor Vehicles and Motorcycles' at current prices
National Statistical Institute
|Contact organisation unit|
Short-term Business Statistics and Transport Statistics Department
|Contact person function|
|Contact mail address|
2, P. Volov Str.; 1038 Sofia, Bulgaria
|Contact email address|
|Contact phone number|
+359 2 9857 174
|Contact fax number|
|Metadata last certified||07 July 2023|
|Metadata last posted||07 July 2023|
|Metadata last update||07 July 2023|
The index of turnover is a key indicator for assessing the current state and current trends in ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’. It reflects the development of the production of goods and services taking into account the impact of the ongoing economic processes.
The monthly turnover index measures changes in the turnover of enterprises ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’. This
Classification of Economic Activities (CEA-2008, for international use NACE.BG-2008).
Section G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’ under NACE.BG 2008. The indices are calculated by groups defined in Regulation (EC) 1893/2006 on NACE.BG 2008.
|Statistical concepts and definitions|
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. The turnover includes net revenues from sales of products, goods and services survey units(excluding VAT and other deductible taxes), and revenue from raw materials sold. Excluded from net turnover are:
— all taxes, duties or levies linked directly to revenue;
— any amounts collected on behalf of any principal, if the statistical unit is acting as an agent in its relationship with said principal;
— all income not arising in the course of ordinary activities of the statistical unit. Usually, these types of income are classified as ‘Other (operating) income’, ‘Financial income’, ‘Extra-ordinary income’ or under a similar heading, depending on the respective set of generally accepted accounting standards used to prepare the financial statements.
A enterprise of section G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’.
The population of firms in section G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’ includes about 107 000 units, which form a sampling population of approximately 33 000 commercial enterprises with an annual turnover exceeding over 10 thousand BGN. Of thes observed a sample of about 5 200 enterprises which form approximately 71% of trade turnover.
At national level: The indices are calculated and published total for the territory of Bulgaria
The indices are published as time series from January 2000 to the last month of the current reporting year.
The indices are calculated and published at 2015 as a base year.
|Unit of measure|
Per cent (%)
|Legal acts and other agreements|
The indicators for G47 are transmitted to Eurostat before their national publication, for G45 and G46 after national publication.
|Confidentiality - policy|
Regulation (EC) № 223/2009 on European statistics (article 20, paragraph 4) of March 11, 2009, stipulates establishing common principles and guidelines to ensure the confidentiality of data used for the production of European statistics and the access to those confidential
|Confidentiality - data treatment|
Article 25 of the Law on Statistics specifies the criteria according to which certain data cannot be made public or released - individual data, data which could be indirectly identified, as well as aggregations of less than three statistical units and/or when the relative share of one parameter is more than 85% of the total volume of this parameter for all population units.
Data which according to the Law on Statistics are confidential not published.
At the national level - according to the terms set out in the Release Calendar presenting the results of the statistical surveys carried out by the National Statistical Institute. The turnover indices are published about 37 - 40 days after the end of the reference month.
|Release calendar access|
The calendar is available on the NSI website: https://www.nsi.bg/en/node/480
Data are published on the NSI website, section Business statistics in accordance with the Law on Statistics and the European Statistics Code of Practice respecting the professional independence and aimed at objectivity, transparency and equal treatment of all consumers.
|Frequency of dissemination|
|Accessibility and clarity|
NSI publishes regular monthly press release Turnover indices 37 - 40 days after the end of the month.
The indices are not presented in publications.
Data on G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’ are available to all users of the NSI website under the heading Statistical data› Bisiness statistics› Short-term Statistics› Monthly data
and online sistem INFOSTAT:
Micro data are neither distributed nor provided to the users.
|Documentation on methodology|
• Methodology Monthly Turnover Indices ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’:
• Eurostat Methodology of short-term business statistics. Interpretation and guidelines:
REGULATION (EU) 2019/2152 of the European Parliament and REGULATION (EC) No 223/2009. REGULATION (EC) No 223/2009 it provides a framework of referencce for European statistics. To guarantee the quality of results, European statistics shall be developed, produced and disseminated on the basis of uniform standards and of harmonised methods: (a) ‘relevance’, which refers to the degree to which statistics meet current and potential needs of the users; (b) ‘accuracy’, which refers to the closeness of estimates to the unknown true values; (c) ‘timeliness’, which refers to the period between the availability of the information and the event or phenomenon it describes; (d) ‘punctuality’, which refers to the delay between the date of the release of the data and the target date (the date by which the data should have been delivered); (e) ‘accessibility’ and ‘clarity’, which refer to the conditions and modalities by which users can obtain, use and interpret data; (f) ‘comparability’, which refers to the measurement of the impact of differences in applied statistical concepts, measurement tools and procedures where statistics are compared between geographical areas, sectoral domains or over time; (g) ‘coherence’, which refers to the adequacy of the data to be reliably combined in different ways and for various uses.
The legal framework that regulates the production of short-term business statistics indicators states that statistics collected within the EU system must be of satisfactory quality and this quality and administrative burden that comes from what must be comparable across Member States. These criteria have been drawn up to ensure that these requirements are met, and that is reflected in the quality reports of the individual short-term indicators.
The quality of the short-term variables is measured by each Member State according to common criteria. The quality of the variables is measured regularly by comparing them with other statistical information, if it is possible some quality indicators are calculated and in addition these indicators are checked for internal consistency.
User reviews are collected by:
• Direct contact - via phone and email;
• Indirect contact - through regional statistical offices.
The users’ satisfaction is not measured.
All levels of detail that are required by the Regulations concerning STS is calculated and published.
|Accuracy and reliability|
The total population in section G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’ includes about 107 000 units, which form a sampling population of approximately 33 000 commercial enterprises with an annual turnover exceeding 10 thousand BGN. Of these monthly observed sample about 5 200 units, which form approximately 71% of the turnover of trade.
The main source of errors is the measurement errors which arise at the data collection stage for variety of reasons, for example respondents misunderstanding what information is required or non-providing precisely the desired information.
Shall be made afforrs to avoid these errors by providing assistance to the reporting units, improv the instructions attached to the questionnaire, assist the statisticians in Regional statistical offices. Most of measurement errors are detected and corrected through the logical and arithmetical controls of the Information system ’Busines cycle‘ (Online Information system for data collection, editing and processing of the STS information). The system carries out the statutory and warning controls and in a case there are errors, it displays a warning dialog error in the report. The system does not allow completion of the report until they have corrected these errors by statutory controls.
The specific sampling method is ‘Stratified Random Sample’ in which first enterprises stratify by groups and then in each group by turnover. The stratums are: 1 – complete, 2 and 3 – sampling. Coefficient of variation is used as an indicator on precision. It is computed as a percentage.
Non-responders companies are valued according to the stratum in which they are faced. In stratum comprehensive assessment is done individually for each company using available information on trends in the establishment and adjusted trends in reported units of the same group and stratum. Sampling strata for each cell group and an overall assessment of non-response using extrapolation coefficients calculated from the data reported in the enterprise group and stratum after eliminating extreme values. In these cases it is assumed that there are no significant differences in the behavior of responders and non-responders enterprises. The response rate for Mart 2021 is 94% in terms of the number of enterprises and 93% in terms of turnover. Actions to reduce non-sampling errors: sending informative reminders and phone calls to collect data.
|Timeliness and punctuality|
NSI provides information on turnover index from 37 to 40 days after the end of the month.
Turnover indices present ontime, according to the terms in the Release Calendar presenting the results of the statistical surveys carried out by the National Statistical Institute.
|Coherence and comparability|
|Comparability - geographical|
The turnover indices are representative for the whole country, they are not representative for the regions of the country. To calculate the indices of turnover NSI applies a methodology in accordance with international standards. In this sense, the comparability of the indicators across countries can be considered as very good.
|Comparability - over time|
The monthly indices are presented as time series from January 2000.
Historical data for all months back to 2000 were recalculated according to the new classification NACE.BG-2008 and published on NSI WEB-page in the Internet. For recalculation of the time series back to 2000, the ‘macro’ method was applied. The indices at the old classification (NACE.BG-2003) are recalculated according to the new classification (NACE.BG-2008) using transition coefficients, which were calculated from transition matrixes, based on micro data.
Regulation (EU) 2020/1197 requires ‘Every five years, Member States shall rebase the indices using as base years the years ending with a 0 or a 5. All indices must be rebased on the new base year within three years after the end of the new base year’. In compliance with these requirements since January 2018 the base year for Short-term business statistics has been changed. All short-term indicators presented in the form of index are calculated and published at 2015 as a base year. The time series has been recalculated according to the new base year and are posted on the website of NSI
|Coherence - cross domain|
The turnover indices are compared with the turnover indices calculated based on data from the annual survey on Structural Business Statistics. The differences are due to different coverage. SBS survey is conducted exhaustively and all enterprises are legally obliged to submit their Annual Reports to the National Statistical Institute. The STS surveys are sampling surveys. Sampling population includes companies with a turnover of over 10 thousand BGN. SBS is the source of turnover for calculation (reconciled) STS indicators.
|Coherence - internal|
|Cost and burden|
Since of 2021 NSI started the online information system for data collection, data editing and data processing of STS information. Information system ’Busines cycle’ provides more efficient way of collecting data from enterprises. This new system save recourses, reduce the burden of the reporting units and the quality of short term indicators is improved.
|Data revision - policy|
The turnover indices usually are revised two times. Each month data for the current month are published as preliminary and for the previous month as final. At the beginning of each year the indexes for the previous year are reconciled on the basis of the comprehensive annual data from SBS.
Revision policy / practice in case of turnover indices in trade:
|Data revision - practice|
The revised data are published on the NSI and transmitted to Eurostat.The MR and MAR (QPI) are calculated from the year-on-year growth rates for calendar adjusted data of 2020, 2021 and 2022 year(G47 - deflated turnover).The base year is 2015
The growth rates for G45 and G46 are published at first time during February 2021 and QPI for these sections aren't calculated.
The indexes are based on monthly survey ‘Sales in industry, construction, trade and services’.
|Frequency of data collection|
Sampling survey. Total population includes about 107 000 units from which a sampling population is formed about 33 000 enterprises with an annual turnover of more than 10 thousand BGN. Of them observed monthly sample of approximately 5 200 enterprises that form approximately 71% of the trade turnover. The specific method is ‘Stratified Random Sampling’ in which units in each group stratify in three intervals depending on turnover. Data collection media:
To reduce non-response IS BC has functionality to send an informative and a reminder letters to respondents:
Provide automatic sending of e-mail reminders to respondents who fail to report the time (when approaching the deadline for submission of reports by the subsystem).
Validation of data in the report:
When recording the data, the system carries out obligatory and recommended controls according to set with validation rules.
The system carries out the statutory and warning controls. In case there are errors, it displays a warning dialog error in the report. The system does not allow completion of the report until they have corrected these errors by statutory controls.
Validation of the output data:
Output data is verified at group level with regard to the previous month, the same month of the previous year and also with regard to extreme values, if necessary data is validated at the level of statistical units.
The turnover indices are calculated for units from the trade section for all groups defined in Regulation (EC) 1893/2006 on Classification of Economic Activities (NACE.BG 2008). Price effects are eliminated by using deflators derived by regrouping of products in the consumer basket in accordance with the content defined in the regulation groups and calculated based on average prices of the base year (2015).
The software used for seasonal and working day adjustment is JDEMETRA + (TRAMO-SEATS).
First data rows are tested for calendar effects, which usually includes:
In working day adjustment the following approach is applied
In seasonal adjustment the following approach is applied:
Revisions to seasonally adjusted data are published in accordance with accepted revision policy and release calendar that is aligned with the revision policy and the revision calendar for the unadjusted data.
- Seasonally unadjusted (2015 = 100)
- Seasonally unadjusted (2005 = 100)
- Seasonally adjusted (2015 = 100)
- Seasonally adjusted (2005 = 100)
- Working day adjusted (2015 = 100)
- Working day adjusted (2005 = 100)