Working day adjusted (2015 = 100)

Time series

TURNOVER INDICES IN SECTION G 'WHOLESALE AND RETAIL TRADE; REPAIR OF MOTOR VEHICLES AND MOTORCYCLES' AT CONSTANT PRICES - JANUARY 2023 ¹

Working day adjusted data
Economic activities	Eurostat code	2015 = 100	Percentage change (compared to the same month of the previous year)
Total	G	122.2	-4.5
Wholesale and retail trade and repair of motor vehicles and motorcycles	G45	141.4	-1.5
Sale of motor vehicles	G451	149.4	3.1
Maintenance and repair of motor vehicles	G452	74.1	-14.2
Sale of motor vehicle parts and accessories	G453	144.8	-9.1
Wholesale trade, except of motor vehicles and motorcycles	G46	115.4	-8.5
Wholesale on a fee or contract basis	G461	120.7	39.4
Wholesale of agricultural raw materials and live animals	G462	110.7	-12.5
Wholesale of food, beverages and tobacco	G463	77.6	-9.5
Wholesale of household goods	G464	142.1	-14.5
Wholesale of information and communication equipment	G465	175.0	-4.3
Wholesale of other machinery, equipment and supplies	G466	127.0	1.7
Other specialised wholesale	G467	123.8	-4.3
Non-specialised wholesale trade	G469	111.1	-16.5
Retail trade, except of motor vehicles and motorcycles	G47	135.5	5.6
Retail trade, except of motor vehicles, motorcycles and fuel	G47_X_G473	145.6	5.2
Retail sale of food, beverages and tobacco	G47_FOOD	121.2	0.2
Retail sale of non-food products (including fuel)	G47_NFOOD	144.1	8.4
Retail sale of non-food products (except fuel)	G47_NFOOD_X_G473	165.4	8.5
Retail sale of textiles, clothing, footwear and leather goods in specialised stores	G47_NF_CLTH	171.0	52.8
Retail sale of audio and video equipment; hardware, paints and glass; electrical household appliances, etc. in specialised stores	G47_NF_OTH2	158.3	12.6
Retail sale of computers, peripheral units and software; telecommunications equipment, etc. in specialised stores	G47_NF_OTH1	123.5	-1.5
Dispensing chemist; retail sale of medical and orthopaedic goods, cosmetic and toilet articles in specialised stores	G47_NF_HLTH	158.0	-1.6
Retail sale of information and communication equipment; other household equipment (except textiles); cultural and recreation goods, etc. in specialised stores	G47_NF_OTH	141.3	6.4
Retail sale in non-specialised stores with food, beverages or tobacco predominating	G4711	118.4	-0.3
Other retail sale in non-specialised stores	G4719	166.6	7.8
Retail sale of food, beverages and tobacco in specialised stores	G472	137.5	3.2
Retail sale of automotive fuel in specialised stores	G473	94.6	8.1
Retail sale via mail order houses or via Internet	G4791	619.1	4.3
¹ - Preliminary data

10.03.2023

Methodology

SALES IN INDUSTRY, CONSTRUCTION, TRADE AND SERVICES - Turnover indices in section ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’

Contact

Contact organisation

National Statistical Institute

Contact organisation unit

Short-term Business Statistics and Transport Statistics Department

Contact name

Mariana Krusteva

Contact person function

Chief Expert

Contact mail address

2, P. Volov Str.; 1038 Sofia, Bulgaria

Contact email address

[email protected]

Contact phone number

+359 2 9857 174

Contact fax number

Metadata update

Metadata last certified

16 August 2021

Metadata last posted

16 August 2021

Metadata last update

16 August 2021

Statistical presentation

Data description

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 information is suitable for monitoring of current economic developments and short-term forecasts.

Classification system

Classification of Economic Activities (CEA-2008, for international use NACE.BG-2008).

Sector coverage

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.

Statistical unit

A enterprise of section G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’.

Statistical population

The population of firms in section G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’ includes about 105 000 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 5 000 enterprises which form approximately 73% of trade turnover.

Reference area

At national level: The indices are calculated and published total for the territory of Bulgaria
At European level: Eurostat calculates and publishes aggregated data for EU Member States (EA19) countries and the euro area (EU17). Eurostat publishes data received from the 27 EU Member States, Norway and Switzerland.

Time coverage

The indices are published as time series from January 2000 to the last month of the current reporting year.

Base period

The indices are calculated and published at 2015 as a base year.

Unit of measure

Per cent (%)

Reference period

Month

Institutional mandate

Legal acts and other agreements

REGULATION (EU) 2019/2152 of the European Parliament and of the Council of 27 November 2019 ;
REGULATION (EU) 2020/1197 of 30 July 2020 laying down technical specifications and arrangements pursuant to Regulation (EU) 2019/2152;
REGULATION (EC) №1893/2006 - translation to NACE Rev. 2 and groups of activities of STS;
REGULATION (EC) No 223/2009 of the European Parliament and of the Council of 11 March 2009

Data sharing

The indicators for G47 are transmitted to Eurostat before their national publication, for G45 and G46 after national publication.

Confidentiality

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 information as required for scientific and technological development and needs of users in a democratic society.
National legislation: Law on Statistics includes provisions relating to confidentiality and protection of secrecy, which are in compliance with the EU legislation and standard European practice. Law on Statistics is stated that the individual data received and collected at the time of statistical surveys shall be statistical confidentiality and shall be used only for statistical purposes. Individual data obtained for the purposes of the statistical surveys, shall not be used as evidence to the bodies of the executive powers and the judicial authorities. Requirements, obligations and measures for data protection, as well as fines that can be imposed, are treated in separate chapters of the Law on Statistics, namely Chapter 6 ‘Protection of secrecy’ and Chapter 9, ‘Administrative penalty provisions’.

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.

Release policy

Release calendar

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

User access

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

Monthly

Accessibility and clarity

News release

NSI publishes regular monthly press release Turnover indices 37 - 40 days after the end of the month.

Publications

The indices are not presented in publications.

On-line database

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

https://www.nsi.bg/en/node/6798

and online sistem INFOSTAT:

https://infostat.nsi.bg/infostat/pages/module.jsf?x_2=217

Micro-data access

Micro data are neither distributed nor provided to the users.

Other

Not applicable.

Documentation on methodology

• Methodology Monthly Turnover Indices ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’:

https://www.nsi.bg/sites/default/files/files/metadata/dTrade_Method_1_en.pdf

• Eurostat Methodology of short-term business statistics. Interpretation and guidelines:

https://ec.europa.eu/eurostat/web/short-term-business-statistics/methodology

Quality documentation

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.

Quality management

Quality assurance

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.

Quality assessment

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.

Relevance

User needs

Bulgarian state institutions and local authorities;
Business and NGOs;
Information and polling;
Analytical and associate professionals;
Internal users: Directorate ‘Macroeconomic Statistics’.

User satisfaction

User reviews are collected by:

• Direct contact - via phone and email;

• Indirect contact - through regional statistical offices.

The users’ satisfaction is not measured.

Completeness

All levels of detail that are required by the Regulations concerning STS is calculated and published.

Accuracy and reliability

Overall accuracy

The total population in section G ‘Wholesale and retail trade, repair of motor vehicles and motorcycles’ includes about 105 000 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 5 000 units, which form approximately 73% 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.

Sampling error

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.
Coefficient of variation for September 2021:

Section and divisions	Code	IX.2021
Wholesale and retail trade, repair of motor vehicles and motorcycles	G	0.1
Wholesale and retail trade and repair of motor vehicles and motorcycles	G45	0.5
Wholesale trade, except of motor vehicles and motorcycles	G46	0.2
Retail trade, except of motor vehicles and motorcycles	G47	0.3

Non-sampling error

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

Timeliness

NSI provides information on turnover index from 37 to 40 days after the end of the month.

Punctuality

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

Not applicable.

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

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:

Frequency	Source
Once per month – after one month when more precise and complete data for previous month are available	From original sample. Estimates are corrected when definitive figures are available.
Annual revision	From original sample, also Revisions come from the Annual SBS survey – annual production index, which is calculated based on structural business statistics.

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 2019, 2020 and 2021 year(G47 - deflated turnover).The base year is 2015

vartable	MR	MAR
turnover	5.67	5.73
volume of sales	5.64	5.71

The growth rates for G45 and G46 are published at first time during February 2021 and QPI for these sections aren't calculated.

Statistical processing

Source data

The indexes are based on monthly survey ‘Sales in industry, construction, trade and services’.
In calculating the turnover index includes all receipts from sales (including revenues from sales of raw materials).

Frequency of data collection

Monthly

Data collection

Sampling survey. Total population includes about 105 000 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 5 000 enterprises that form approximately 73% 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:

Online through Information system ’Busines cycle’;
Paper questionnaire. The questionnaires are sent out to the respondents and collected by regional statistical offices, where the information is entered into IS BC.

To reduce non-response IS BC has functionality to send an informative and a reminder letters to respondents:

Automatic formation of electronic letters informing respondents about the upcoming observations, in which they are included. To enable them to attach and reporting forms in PDF format and official letters;

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).

Data validation

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.

Data compilation

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).

Adjustment

The software used for seasonal and working day adjustment is JDEMETRA 2.2.0 (TRAMO-SEATS).

First data rows are tested for calendar effects, which usually includes:

the different number of working days in a specific month;
the composition of working days;
the leap year effect, moving holidays such Easter.

In working day adjustment the following approach is applied

RegARIMA approach, with all checks of significance and plausibility of the effects;
RegARIMA approach, with all pre-tests for number of regressors, length and composition of month, check of plausibility of effects (sign and size of estimated coefficients), etc.;
RegARIMA approach, with pre-tests for Easter and other moving holiday effects;
The use of national calendar prepared by NSI experts.

In seasonal adjustment the following approach is applied:

The series are checked for outliers of different types, but with the complete automatic procedure for detecting outliers;
Complete automatic procedure for automatic selection within a large number of models according to the options of the tool, after checking for model adequacy using standard statistical tests (e.g. normality, heteroskedasticity, serial correlation, etc.);
Fully automatic decomposition scheme selection using information criteria.The decomposition scheme specifies how the various components - trend-cycle, seasonal and calendar component and irregular – combine to form the original series. Usually, the default decomposition scheme is multiplicative, because in most economic time series, the magnitudes of the seasonal component vary proportionally to the level of the series;
Direct seasonal adjustment is performed. All time series, including aggregates, are seasonally adjusted on an individual basis.

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.

Comment

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