Hungarian Central Statistical Office (HCSO)

Business Statistics Department, Internal Trade, Information and Research and Development Statistics Section

Postal address: H-1525 Budapest P.O.B. 51, Hungary

BCS_TOR_M_HU_2022

The purpose of data collection is to estimate the sales of retail trade and measure the change of retail sales. Retail trade turnover is calculated by activities and counties. Furthermore, volume indices of retail trade sales is produced from value indices of retail sales using deflator price indices which are based on the prices of different commodity representatives. The survey covers Division 47 of NACE Rev. 2.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

The purpose of data collection is to show the development of the market for services. The survey covers the traditional service sector (like transportation, accommodation and food service activities, real estate activities, education, etc.) but financial and insurance activities as well as public administration and defence, compulsory social security are excluded from the observation. All enterprises are observed if the number of persons employed is greater than 49. For legal units and non-profit organisations employing between 5 and 49 persons the data collection is based on representative sample survey. When classifying an enterprise only the number of employees employed by the given firm is taken into account. The random stratified sample is used. The sample contains roughly 10,500 data providers. The sampling frame arises from a fixed file extracted from the Business Register.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Data of monthly value indices of services turnover were published in line with the EBS Regulation.

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics, where the amount of 3 month is equal to the amount of the quarter year. Monthly value indices were calculated on the average of the data of the base year 2015.

BCS_TOVV_M_HU_2022 (G, G45, G46)

submitted in STSSERV_PROD_M_HU_2022

Monthly turnover data are produced model based from the survey OSAP 2236 Quarterly performance statistics using the turnover data of the monthly VAT returns as auxiliary. Volume indices were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

Statistical Classification of Economic Activities in the European Community (NACE Rev. 2).

BCS_TOR_M_HU_2022

The survey covers the following groups and classes of NACE Rev. 2:

• Retail trade except of motor vehicles and motorcycles.
• Retail sales in specialized or non-specialized stores with food, beverages or tobacco predominating (47.11, 47.2)
• Retail sales of textiles, clothing, footwear in specialized stores (47.51, 47.71, 47.72)
• Retail sales of furniture, electrical goods in specialized stores (47.43, 47.52, 47.54, 47.59, 47.63)
• Retail sales of books, computer equipment another articles n.e.c. in specialized stores (47.41, 47.42, 47.53, 47.61, 47.62, 47.64, 47.65, 47.76, 47.77, 47.78)
• Retail sales of pharmaceutical, medical goods, cosmetic articles, in specialized stores (47.73, 47.74, 47.75)
• Retail sale of non-food products (except fuel) (4719+474+475+476+477+478+479)
• Retail sale except of motor vehicles, motorcycles and fuel (471+472+474 to 479)
• Retail sale of non-food products including fuel (4719+473+474+475+476+ +477+478+479)
• Retail sale of information and communication equipment; other household equipment (except textiles); cultural and recreation goods, etc. in specialised stores (4743+4752+4754+4759+4763+4741+4742+4753+4761+4762+4764+ +4765+4776+4777+4778)
• Retail sale of automotive fuel in specialised stores (4730)
• Other retail sale in non-specialised stores (4719)
• Retail sale via mail order houses or via Internet (4791)
• Retail sales via stalls and markets (47.8) and other retail sale not in stores, stalls or markets (47.99)

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DATASET: STSSERV_TURN_Q_HU_2022

In line with the new STS data requirements for “Services” indicators, when the transitional arrangements set in the Annex VII (3.a) of GIA EBS are applied, the requirements of the STS R - Council Regulation No 1165/98 and its amendments will continue to apply until the reference period December/Q4 2023.

The survey covers:

Section G,

Divisions G45, G46 of NACE Rev. 2.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics.

Coverage of monthly value indices (TOVT):

Section G,

Divisions G45, G46 of NACE Rev. 2.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics.

Coverage of monthly value indices (TOVV):

Section G,

Divisions G45, G46 of NACE Rev. 2.

BCS_TOR_M_HU_2022

Retail trade turnover: sales of goods at current consumer prices, i.e. at a price including value added tax and excise duty.

Volume indices of retail trade sales: an index calculated from value indices of retail sales, using deflator price indices based on the prices of different commodity representatives.

As regards the definitions of variables used in practice of the HCSO the Commission Implementing Regulation 2020/1197 is the standard source.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

In line with the new STS data requirements for “Services” indicators, when the transitional arrangements set in the Annex VII (3.a) of GIA EBS are applied, the requirements of the STS R - Council Regulation No 1165/98 and its amendments will continue to apply until the reference period December/Q4 2023.

Turnover is defined as the total turnover value of economic activities performed by enterprises classified to the service industry. Turnover comprises the totals invoiced by the observation unit during the reference period, and this corresponds to market sales of services supplied to third parties. Turnover also includes all other charges (transport, packaging, etc.) passed on to the customer, even if these charges are listed separately in the invoice.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Data of monthly value indices of services turnover were published in line with the EBS Regulation.

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics, where the amount of 3 month is equal to the amount of the quarter year. Monthly value indices were calculated on the average of the data of the base year 2015.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly turnover data are produced model based from the survey OSAP 2236 Quarterly performance statistics using the turnover data of the monthly VAT returns as auxiliary. Volume indices were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

As regards the definitions of variables used in practice of the HCSO the Commission Implementing Regulation 2020/1197 is the standard source.

BCS_TOR_M_HU_2022

The reporting unit is the legal unit (considered as enterprise), and the observation units are the retail shops, the pharmacies and the mail order houses considered as KAU. In case of the administrative source we receive data aggregated for electronic fiscal device considered as LKAU.

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DATASET: STSSERV_TURN_Q_HU_2022

Legal unit (considered as enterprise).

BCS_TOVT_M_HU_2022 (G, G45, G46)

Legal unit (considered as enterprise).

BCS_TOVV_M_HU_2022 (G, G45, G46)

Legal unit (considered as enterprise).

BCS_TOR_M_HU_2022

The statistical population consists of all retail trade shops with an operating license as well as activity are announced for the local government of the settlements. Moreover, all pharmacies and enterprise with main activity of mail orders and internet are included in the statistical population.

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The target population consists of legal units included in Section I, Divisions G45, G46, H49, H50, H51, H52, H53, I55, I56, J58, J59, J60, J61, J62, J63, L68, M71, M73, M74, N77, N78, N79, N80, N82 GROUPs N 811, N812, N813 and some of (M69 and M702), (=M69_M702) of NACE Rev. 2.

The number of possible data providers is approximately 60,400. Business Register has online connection to the database of Registry Court therefor the population is always realistic.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Short term business statistics on turnover in services, value (TOVT)

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics, where the amount of 3 months is equal to the amount of the quarter year. Monthly value indices are calculated on the average of the data of the base year 2015.

The target population consists of legal units included in

Section: G

Divisions G45, G46 of NACE Rev. 2.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly turnover data are produced model based from the survey OSAP 2236 Quarterly performance statistics (approximately 58.000 data provider) using the turnover data of the monthly VAT returns as auxiliary.

Volume indices were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

The target population consists of legal units included in

Section: G

Divisions G45, G46 of NACE Rev. 2.

Territory of Hungary. The whole national area is covered and the activities performed outside the national territory is not taken into account in this variable.

BCS_TOR_M_HU_2022

Data are available from 2000. In 2009 TEÁOR’08 was introduced, which is the national version of NACE Rev. 2. Historical time series of the 2000-2008 period were recalculated in accordance with this new classification, so the time series can be considered continuous. With the introduction of the new methodology in 2019 the structure of the published tables has not changed compared to the previous ones, they contain the usual monthly and quarterly information. In order to ensure data comparability over time, sales data were back casted until January 2015 and volume indices until January 2016, which are also available in the tables and database. From 2021, retail sales should include retail sales via stalls and markets (NACE Rev. 2 47.8) and other retail sale not in stores, stalls or markets (47.99), within the non-food group. For comparability, data on market and other non-store retail sales are available at current prices from 2019, while volume index data are available from 2020 onwards.

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DATASET: STSSERV_TURN_Q_HU_2022

Data are available from 2008 in the dissemination database but the time series which are sent to Eurostat start from 2000. The change of TEÁOR, which is the national version of NACE Rev. 2, caused a break in the time series in 2008. The data were recalculated in accordance with the new classification, so the time series can be considered continuously from 2000.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Data are available from 2009.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Data are available from 2009.   

BCS_TOR_M_HU_2022

For volume indices:

2015=100 (from 2018)

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DATASET: STSSERV_TURN_Q_HU_2022

For value indices:

Base year: 2015

BCS_TOVT_M_HU_2022 (G, G45, G46)

For value indices:

Base year: 2015

BCS_TOVV_M_HU_2022 (G, G45, G46)

For volume of sales indices

Base year: 2015

BCS_TOR_M_HU_2022

For retail trade turnover is million HUF and for volume index of retail trade sales is percentage change (%).

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DATASET: STSSERV_TURN_Q_HU_2022

Quarterly value indices on the average of 2015 (%).

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly value indices on the average of 2015 (%).

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly volume of sales, indices (%)

BCS_TOR_M_HU_2022

Month

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DATASET: STSSERV_TURN_Q_HU_2022

Quarter

BCS_TOVT_M_HU_2022 (G, G45, G46)

Month

BCS_TOVV_M_HU_2022 (G, G45, G46)

Month

At European level:

• Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics concerning short term statistics.
• Commission Implementing Regulation 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 concerning short term statistics. (General Implementing Act)
• Council Regulation (EC) No 1165/98 of 19 May 1998 concerning short term statistics; Regulation (EC) No 1165/98 is repealed with effect from 1 January 2024.
• STS data requirements overview June 2021
• STS data requirements by country size June 2021

All relevant regulations can be found in the STS section on Eurostat’s website under Statistics => Short-term business statistics => Legislation

At national level:

• The Act CLV of 2016 on Statistics (the Hungarian Statistical Law)
• Government Decree on the National Statistical Data Collection Programme enacting the surveys of reference period.

Additional information in English can be found here.

BCS_TOR_M_HU_2022

Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics concerning short term statistics.

D_120_Q_HU_2022

In line with the new STS data requirements for “Services” indicators, when the transitional arrangements set in the Annex VII (3.a) of GIA EBS are applied, the requirements of the STS R - Council Regulation No 1165/98 and its amendments will continue to apply until the reference period December/Q4 2023. Quarterly turnover value indices were submitted in 2022.

BCS_TOVT_M_HU_2022 (G, G45, G46)

According to the Regulation (EU)  2019/2152 of the European Parliament and of the Council on European business statistics concerning short term statistics monthly value indices were submitted in 2022.

BCS_TOVV_M_HU_2022 (G, G45, G46)

According to the Regulation (EU)  2019/2152 of the European Parliament and of the Council on European business statistics concerning short term statistics monthly volume of sales indices were submitted in 2022.

At European level:

• Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics concerning short term statistics.
• Commission Implementing Regulation 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 concerning short term statistics. (General Implementing Act)

All relevant regulations can be found in the STS section on Eurostat’s website under Statistics => Short-term business statistics => Legislation

At national level:

• The Act CLV of 2016 on Statistics (the Hungarian Statistical Law);
• Act CXII of 2011 on Informational self-administration and freedom of information.
• Additional information in English can be found here.
• The confidentiality policy of HCSO is available on its website

HCSO ensures confidentiality for all the data reported by data providers and the exclusive use of the data for statistical purposes. We disseminate only aggregated data in full compliance with the rules of confidentiality. Individual data, as well as aggregated data consisting of fewer than 3 enterprises are regarded as confidential and therefore not published. Researchers have access to de-identified data sets and to anonymised micro data for scientific purposes with appropriate legal and methodological guaranties in place. As for the employees, they can work with datasets in their competence with registered and controlled access rights. For details see Information on confidentiality for data providers on the website of HCSO.

All of the features of dissemination activity are consistent with the Dissemination and Communication Policy of Hungarian Central Statistical Office. In the elaboration of this document the

• The Act CLV of 2016 on Statistics (the Hungarian Statistical Law)
• Act CXII of 2011 on Right of Informational Self-Determination and Freedom of Information and
• Regulation 223/2009/EC of EP and Council on European Statistics provided the most important legal basis. Furthermore, Dissemination Policy is in line with the Quality Declaration of ESS, the Code of Practice and Fundamental Principles of Official Statistics.

(Since the last update of Dissemination Policy of HCSO a new statistical law has been adopted in Hungary and the European Statistical law has been amended, but the changes do not affect the principals of Dissemination Policy.)

HCSO has a public Dissemination calendar that contains the dissemination dates of all First releases. The public dissemination calendar (Catalogue) on the website of HCSO provided information not only the first releases but the analyses, methodological publications, promotional publications, reports, statistical reflections, yearbooks and pocketbooks. Both calendars are prepared in line with the annual dissemination programme.

A public dissemination calendar of the first releases is accessible and it can be downloaded in Excel format by everyone via the website of HCSO. It provides information about publish date, the date of any modification, the title of publication, the reference period or date and the date of inclusion in the database.

The release calendar and the first releases are open for everybody via the website of HCSO. First releases and the related databases are published at 9 a. m. on the day provided in the Dissemination calendar. Some key user groups are subjected to other rules because of their special role in the economic and political life. Journalists can read the first release in the press room at 8:30 a. m. but they are allowed to transmit their reports at 9 a. m. after the publication of HCSO. Certain first releases are sent to the members of the government and the president of the National Bank of Hungary at 5 p. m. on the day prior to the publication after closing the Budapest Stock Exchange. Within the given ministry and the National Bank of Hungary responsible use of our data is ensured by strict rules.

BCS_TOR_M_HU_2022

Eurostat also receives the data via eDAMIS with “free for publication” condition.

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DATASET: STSSERV_TURN_Q_HU_2022

As for the service turnover no specific user group got the information before publication. Eurostat also received the data via eDAMIS with a “free for publication” condition.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly value indices in wholesale and retail trade; repair of motor vehicles and motorcycles, value, (TOVT G, G45, G46)

Monthly data were published in the HCSO on the last working day of each month under Summary tables (STADAT). https://www.ksh.hu/stadat_files/gsz/en/gsz0061.html

Data were sent to EUROSTAT before this date, converted in the ESTAT_STSALL+2.1 system embargo time and FLAG N (Not for publication, restricted for internal use only) in the CONF STATUS were used.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly volume of sales indices were published in the HCSO on the last working day of each month under Summary tables (STADAT). 

Data were sent to EUROSTAT before this date, converted in the ESTAT_STSALL+2.1 system embargo time and FLAG N (Not for publication, restricted for internal use only) in the CONF STATUS were used.

https://www.ksh.hu/stadat_files/gsz/en/gsz0062.html

Data were sent to EUROSTAT before this date, converted in the ESTAT_STSALL+2.1 system embargo time and FLAG N (Not for publication, restricted for internal use only) in the CONF STATUS were used.

TOVV time series were submitted in 2021 in the PROD data series. From February 2022 data will be sent in the time series TOVV.

BCS_TOR_M_HU_2022

month

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DATASET: STSSERV_TURN_Q_HU_2022

quarter

BCS_TOVT_M_HU_2022 (G, G45, G46)

month

BCS_TOVV_M_HU_2022 (G, G45, G46)

month

BCS_TOR_M_HU_2022

From 2019 retail trade first estimation is published regularly every month. The First Releases can be found on the HCSO’s website. Report show the following data of retail sales (Until 2018 retail trade first estimation and second estimation were published regularly every month):

• The most important data about changing of the volume of sales in retail shops.
• Changes in the volume of sales in retail shops adjusted for calendar effects compared to the same period of the previous year.
• Changes in the volume of sales in retail shops adjusted for seasonal and calendar effects compared to the monthly average of 2015.
• Volume indices on sales of food, drinks and tobacco in retail shops adjusted for calendar effects, the same period of the previous year = 100.0;
• Volume indices on sales of non-food products in retail shops adjusted for calendar effects, the same period of the previous year = 100.0;
• Volume indices on sales of automotive fuel in retail shops adjusted for calendar effects, the same period of the previous year = 100.0;
• Volume indices on total sales in retail shops adjusted for calendar effects, the same period of the previous year = 100.0;
• Volume indices on total retail sales without adjustment, the same period of the previous year = 100.0.

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DATASET: STSSERV_TURN_Q_HU_2022

There is no first release for quarterly value of wholesale and retail trade; repair of motor vehicles and motorcycles.

BCS_TOVT_M_HU_2022 (G, G45, G46)

There is no first release for monthly value indices of wholesale and retail trade; repair of motor vehicles and motorcycles.

BCS_TOVV_M_HU_2022 (G, G45, G46)

There is no first release for monthly volume of sales of wholesale and retail trade; repair of motor vehicles and motorcycles.

BCS_TOR_M_HU_2022

• Situation of Retail trade is an annual publication,
• Statistical Yearbook of Hungary is an annual publication.
• Summary tables (STADAT)
• https://www.ksh.hu/stadat_eng?lang=en&theme=bel

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DATASET: STSSERV_TURN_Q_HU_2022

Summary tables (STADAT).

https://www.ksh.hu/stadat_files/gsz/en/gsz0060.html

BCS_TOVT_M_HU_2022 (G, G45, G46)

Summary tables (STADAT).

https://www.ksh.hu/stadat_files/gsz/en/gsz0061.html

BCS_TOVV_M_HU_2022 (G, G45, G46)

Summary tables (STADAT).

https://www.ksh.hu/stadat_files/gsz/en/gsz0062.html

BCS_TOR_M_HU_2022

Dissemination http://statinfo.ksh.hu/Statinfo/themeSelector.jsp?&lang=en

states data of industrial production, sales and orders on the website of the HCSO.

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DATASET: STSSERV_TURN_Q_HU_2022

Dissemination database

Dissemination database – STATINFO

• Number of data supplies (pieces)
• Value of total turnover (1,000 HUF)      
• Total gross output value (1,000 HUF)

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly value indices of wholesale and retail trade; repair of motor vehicles and motorcycles were not published in online database.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Summary tables (STADAT).

Monthly volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were not published in online database.

In HCSO the following four data access channels are available only for researchers for scientific purposes. The HCSO performs a researcher accreditation procedure for all data requests for these four data access channels.

• Safe Centre access

The HCSO offers access to deidentified microdata sets for scientific purposes in the safe environment of the Safe Centre operated by the HCSO in Budapest.

• Remote access

The HCSO offers access to deidentified microdata sets for scientific purposes in the safe environment of the remote access points operated by the HCSO under the same access conditions as the Safe Centre access.

• Remote execution

For scientific purposes, the HCSO produces the requested research outputs inside its own safe environment based on the specifications/syntax files provided by the researcher.

• Release of anonymised microdata sets

By using this data access channel, the HCSO provides anonymised microdata sets for the researcher for scientific purposes.

BCS_TOR_M_HU_2022

STADAT (the acronym stands for statistical data), which involves mostly time series can be found on the HCSO’s website. STADAT includes plenty of data in pre-made tables about numerous topics, with methodological notes. The tables can be downloaded but the user cannot transform them. (While working with the dissemination database the user can assemble a cross table, elements to the table columns and rows can be added as well as filters can be applied). The data of retail trade can be found under “Internal trade”.

Data transmission is fulfilled to Eurostat each month to be released as national data.

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DATASET: STSSERV_TURN_Q_HU_2022

These data were published in the summary tables (STADAT):

https://www.ksh.hu/stadat_files/gsz/en/gsz0060.html

BCS_TOVT_M_HU_2022 (G, G45, G46)

These data were published in the summary tables (STADAT):

https://www.ksh.hu/stadat_files/gsz/en/gsz0061.html

BCS_TOVV_M_HU_2022 (G, G45, G46)

These data were published in the summary tables (STADAT):

https://www.ksh.hu/stadat_files/gsz/en/gsz0062.html

BCS_TOR_M_HU_2022

There are methodological notes on the HCSOs website. Additional methodological comments can be found in STADAT system.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

There are methodological notes on HCSOs website. 

BCS_TOVT_M_HU_2022 (G, G45, G46)

There are methodological notes on HCSOs website.

BCS_TOVV_M_HU_2022 (G, G45, G46)

There are methodological notes on HCSOs website.

User-oriented quality reports on statistical domains are prepared in the framework of methodological documentation and are published as metainformation on the HCSO website: http://www.ksh.hu/apps/meta.main?p_lang=EN.

An internal HCSO regulation is in place regarding the preparation of producer-oriented quality reports for each statistical domain on a yearly basis.

In case of some statistical domains quality check is carried out and documented each month for the management of HCSO. However, this report is not published.

The HCSO Quality Policy lays out the principles and commitments related to the quality of statistics. The documentis consistent with the goals set out in the Mission and Vision statements andwith the principles of the European Statistics Code of Practice and is publicly available on the HCSO website.

The European Statistics Code of Practice is available on the website of the HCSO. Also, HCSO together with the member-organisations of the Hungarian Official Statistical Service created a National Statistics Code of Practice based on the European Statistics Code of Practice.

Quality Guidelines are meant to ensure the quality of the statistical processes. The document has been in place since 2007 (1st revision in 2009, 2nd revision in 2014 and 3rd revision is currently ongoing). The latest version (2014) is available on the HCSO website.

Procedures are in place in order to ensure updated documentation on product quality. (See above about Quality Documentation in 10.7) Apart from the internal reports, quality reports are regularly provided to Eurostat as well.

Commission Implementing Regulation 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 concerning short term statistics. (General Implementing Act)

Statistical processes are monitored based on quality indicators built into IT tools/systems but not in a standardised way (e.g. Integrated Survey Control System for Business and Social Surveys, Integrated Survey Control System for Population Surveys, Integrated Electronic Data Collection System). The General Implementing Act prescribes the scope, the level of detail the deadlines and also the implementation of definitions of variables. The processing of data production has been developed according to these regulations.

HCSO is committed to develop the quality and ensure the credibility of statistics. In order to provide better quality data the annual internal quality report and SWOT analysis is made, documentation of quality is updated regularly.

BCS_TOR_M_HU_2022

The retail trade turnover is published in line with EBS regulation.

The average response rate is some 85%, which is good achievement. The content and coverage of collected data meet the requirements. For the accuracy the HCSO operates electronic data collection and data entry system in which three-stages data correction system works.

The day of the publication of data is specified in dissemination calendar and the deadline has been always kept. The data transmission to the international organisations has been also done in time.

The wide range of the retail trade data is available on the HCSO website. The first releases, STADAT tables and dissemination database are available for everybody. There are not known serious quality problems.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

The quarterly value indices in wholesale and retail trade; repair of motor vehicles and motorcycles were published in line with STS regulation.

The average weighted response rate of the survey OSAP 2236 Quarterly performance statistics is about 95,0%, which is a good achievement. The content and coverage of collected data meet the requirements. For accuracy HCSO operates an electronic data collection and a data entry system in which a three-stage data correction system works.

The day of the publication of data is specified in the dissemination calendar and the deadline has always been met. The data transmission to the international organisations has also been done in time.

The time series of the quarterly service turnover is available in a dissemination database for everyone. (https://www.ksh.hu/stadat_files/gsz/en/gsz0060.html)

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly turnover data are produced model based from the survey OSAP 2236 Quarterly performance statistics (approximately 58.000 data provider) using the turnover data of the monthly VAT returns as auxiliary. The amount of 3 months must be equal to the amount of the quarter year.

Value indices of wholesale and retail trade; repair of motor vehicles and motorcycles are produced model based from the survey OSAP 2236.

Period/period changes of value indices were validated and clarified as follow:

• Due to the monthly revision of our auxiliary (VAT) data,
• the COVID-19 effect,
• changing of the VAT regulation in April 2021 and
• due to the annual and quarterly revision of the quarterly input data,

as well as in the seasonal adjusted data, higher differences could be found in some cases in our data series.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly turnover data are produced model based from the survey OSAP 2236 Quarterly performance statistics (approximately 58.000 data provider) using the turnover data of the monthly VAT returns as auxiliary. The amount of 3 months must be equal to the amount of the quarter year.

Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

Period/period changes of ISPs were validated and clarified as follow:

• Due to the monthly revision of our auxiliary (VAT) data,
• the COVID-19 effect,
• changing of the VAT regulation in 2021 and
• due to the annual and quarterly revision of the quarterly input data,

as well as in the seasonal adjusted data, higher differences could be found in some cases in our data series.

The time series of the monthly indices of services production are available in the Summary tables for everyone. (https://www.ksh.hu/stadat_files/gsz/en/gsz0062.html)

TOVV time series were submitted from 2022 in the TOVV data series.

The concepts and methods are based on European legislation. Data is transmitted to Eurostat. The principal domestic users are the Ministries, Government administration, but there are users from the financial/corporate sector, research institutes and higher education.

BCS_TOR_M_HU_2022

There are regular conversations with the representatives the press and ministries moreover the experts of the Office keep the connection the users from the Central Bank of Hungary, Hungarian State Treasury and Ministry of National Economy.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

We do not conduct a user satisfaction survey. However, our summary tables receive a high number of views on the Internet site of HCSO.

BCS_TOVT_M_HU_2022 (G, G45, G46)

We do not conduct a user satisfaction survey. However, our summary tables receive a high number of views on the Internet site of HCSO.

BCS_TOVV_M_HU_2022 (G, G45, G46)

We do not conduct a user satisfaction survey. However, our summary tables receive a high number of views on the Internet site of HCSO.

BCS_TOR_M_HU_2022

The level of details is in accordance with the EBS regulation. All of the time series required by the EBS regulation (by number 15) are transmitted to Eurostat. Most of them are sent in differently adjusted forms.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

The level of detail is in accordance with the EBS regulation (Transitional arrangement). 2 time series (G45, G46) were transmitted to Eurostat. From the dissemination database everybody can obtain additional time series, even on 4-digit level of NACE.

Dissemination database – STATINFO

BCS_TOVT_M_HU_2022 (G, G45, G46)

The level of detail is in accordance with the EBS regulation. 3 time series (G, G45, G46) were transmitted to Eurostat. Data are available for everybody in the Summary tables (STADAT)

https://www.ksh.hu/stadat_files/gsz/en/gsz0061.html

BCS_TOVV_M_HU_2022 (G, G45, G46)

Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

Summary tables (STADAT)

https://www.ksh.hu/stadat_files/gsz/en/gsz0062.html

BCS_TOR_M_HU_2022

Sampling error is no more relevant for the retail trade turnover since data used for the estimation is coming from administrative data source. However, there is a need to keep collecting data on questionnaires to compensate technical errors. Although the response rate for the questionnaires is fairly good, the non-response is the main source of non-sampling errors. There are some enterprises which send late data, but these cases are tackled during the estimation, and the data can be taken into consideration over the revisions.

The under-coverage of the survey population is rather small because the online connection between our Business Register and Registry Court assures a reliable sampling frame. A good value about the rate of over-coverage can be calculated on the basis of Business Register. The rate of other errors (for example, classification error) is noted over the data collection, and the statistician can list these cases and can determine the number of that.

The difference between first and final estimation is 0.1-2.9% (in 2021).

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Sampling error is calculated for the strata and for some aggregates each quarter.

There are some legal units which send data late, but their questionnaires can be taken into consideration over the revisions. Moreover, data are revised using SBS data, so the final version of the figures of service production is closed the one and half years after the beginning of the data collection.

The under-coverage of the survey population is rather small because the online connection between our Business Register and Registry Court assures a reliable sampling frame. An appropriate value about the rate of over-coverage can be calculated on the basis of Business Register. The rate of other errors (for example classification error) is noted during the data collection, and the statistician can list these cases and can determine the number of these.

The weighted unit response rate data for 2022 can be found in point 13.3 Non-sampling error.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Model based data, there is no data collection in this dataset.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Model based data, there is no data collection in this dataset.

BCS_TOR_M_HU_2022

From 2018 on the sampling error is reduced to 0 since the use of monthly aggregated administrative cash register data.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

The coefficient of variation (CV), which is interpreted as the division of the standard error and the estimated value of total turnover, was 0.94% for 1^th quarter, 0.96% for the 2^nd quarter, 0.93% for the 3^rd quarter and 1.15% for the 4^th quarter of 2022. Therefore, the sampling errors are negligible.

The non-response is treated with various imputation algorithms (i.e. the design weights were not adjusted for non-response). For the representative part of the population, outlier-detection techniques are used. The outlier enterprises are taken into account with a design weight of 1 during the estimation calculations.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics, where the amount of 3 months is equal to the amount of the quarter year.

Sampling error is not applicable.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

Sampling error is not applicable.

BCS_TOR_M_HU_2022

Coverage errors: under-coverage can be arisen if an enterprise that is element of the full-scope part starts to work after the updating of the register. In this case this data supplier goes into the data set next month. Additional sources of the under-coverage are classification errors or some shops finish off their activity. But these effects cannot quantified totally.

As for the over-coverage we can measure it. In 2017 it was between 0.38% and 0.51% the average value was 0.42%.

Multiple listings are exist (very rarely) but do not cause real bias because the data suppliers usually inform us about this problem.

Access errors: HCSO uses an IT system (called ELEKTRA) to collect data via personalised online questionnaires. Data providers can check the questionnaire before sending, so the data are consistent. Also administrative sources are used in connection with the retail trade.

Non-response errors: the unit response rate in case of data suppliers with full questionnaire was between 61.9% and 76.8% and the yearly average was 70.3% in 2022.

Editing, coding and imputation errors: there is no numerical information.

Modelling errors: model based calculations are not used in this survey.

HCSO is committed to reduce the non-response errors. In order to support the enterprises we give assistance by phone or via e-mail, send automatic warning e-mails or mails. In a final case, HCSO can impose fine to enterprises which do not cooperate.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Over-coverage was 1.63%; 1.67%; 1.52% and 1.54% in each quarter respectively.

Under-coverage occurs when an enterprise that is element of the full-scope part starts operating after the updating. In this case, this data supplier goes into the data set in the next quarter.

We do not know of any multiple listings in the service divisions because all of the enterprises are identified by a unique number. Access error is not relevant. HCSO uses an IT system (called ELEKTRA) to collect data via personalised online questionnaires. Data providers can check the questionnaire before sending, so the data are consistent. Administrative source is used only for the imputation.

The weighted unit response rate was 96.1%; 95.7%; 95.3%; 93.3% in each quarter of 2022 respectively. The total turnover was used as weighting variable.

Editing, coding and imputation errors: these are usually under 1%.

Modelling errors: there is no numerical information.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics, where the amount of 3 months is equal to the amount of the quarter year.

Non-sampling error is not applicable.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

Non-sampling error is not applicable.

BCS_TOR_M_HU_2022

The first estimates of the retail trade data were published not later than 35 days after the end of the reference month. All of the time series required by the EBS regulation is available for everyone. Data are published in STADAT system about 35 days after the reference period. The online questionnaire is available for the data supplier at the beginning of the month following the reference month. The deadline for replies is the 20th of day following the reference month. On the last day of the month following the reference month the database is got close.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Data of quarterly service turnover are published in line with the EBS Regulation (Transitional arrangement). The online questionnaire is available for the data provider at the beginning of the quarter following the reference quarter. The deadline for the data transmission is t+20. The database is closed after the deadline, but the data sent late will be taken into account at the next period. Data are published in the dissemination database t+55 as well as in the Summery tables (STADAT).

Dissemination database – STATINFO

https://www.ksh.hu/stadat_files/gsz/en/gsz0060.html

BCS_TOVT_M_HU_2022 (G, G45, G46)

Data of monthly service turnover are published in line with the EBS Regulation.

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics, where the amount of 3 month is equal to the amount of the quarter year. Monthly value indices are calculated on the average of the data of the base year 2015.

Data were published in the Summary tables (STADAT) t+60.

https://www.ksh.hu/stadat_files/gsz/en/gsz0061.html

BCS_TOVV_M_HU_2022 (G, G45, G46)

Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were published in the Summary tables (STADAT) t+60.

https://www.ksh.hu/stadat_files/gsz/en/gsz0062.html

The publications are in agreement with the dissemination calendar. Data transmissions were adhered to the scheduled dates.

Over the data collection and calculation domestic and non-domestic markets are interpreted according to territory of Hungary. The whole country is treated in a uniform manner from statistical point of view. The same statistical concepts can be applied for all of the territories. All data sources cover the county fully. There are no difficulties concerning the geographical comparability.

BCS_TOR_M_HU_2022

Dissemination database consists of time series data from 2000. Among STADAT tables users can find long time series (volume indices of retail, motor vehicles and automotive fuel trade 1960 = 100), time series for annual data related to retail shops from 2005 to 2016 and time series data concerning sales of retail trade from 2000 to 2017. Furthermore, STADAT provides time series based on infra annual data about retail shops and sales of retail trade.

Currently classification is based on TEÁOR’08 which is the Hungarian version of NACE Rev. 2 and fully compliant with that. The introduction of the new categorization caused break in time series. Hence, the data were recalculated in accordance with the new classification, so the time series can be considered continuous from 2000.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Quarterly service turnover data are available from 2000. Most of the data about annual performance of legal units are accessible from 2008.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly value indices in wholesale and retail trade; repair of motor vehicles and motorcycles are available from 2009.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles are available from 2009.

BCS_TOR_M_HU_2022

The monthly data are compared with quarterly and annual data. The data coming from other data collection are aggregated on county level and are used for cross domain coherence test.

Administrative data are also used for the data validation, e.g., VAT data and information received from the municipality about the operation of the enterprises. We have data about the total quarterly turnover of enterprise and annual, territorial and business-level figures which are comparable with the retail trade turnover data. Based on the results of all comparison we can declare that the cross-domain coherence of the retail trade turnover is satisfactory.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

The quarterly service turnover data are compared with SBS turnover. There are differences in some small weighted division, but the overall dissimilarity is not relevant.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Data of Monthly value indices in wholesale and retail trade; repair of motor vehicles and motorcycles were published in line with the EBS Regulation.

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics. Monthly value indices are calculated on the average of the data of the base year 2015.

Monthly data are revised with the SBS compared quarterly service turnover data.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were published in line with the EBS Regulation.

Monthly volume of sales indices was produced model-based from the survey OSAP 2236 Quarterly performance statistics.

Monthly volume of sales indices were revised with the SBS compared quarterly service turnover data.

HCSO uses online data collection system called ELEKTRA. Statistician previously can define checking rules and explanations. In the process of the filling out, if the data fail these rules, the data supplier can read the error message and can fix the error. Without correction faulty questionnaire cannot be sent.

Before the data submitted is loading into the database an IT tool (ADEL) fulfils additional checking. It controls, among others, the comparability to former periods. After the database is closed data are checked by experts who make contact with the data suppliers if it is necessary for further consultation. These processes assure that there is not known internal inconsistency.

BCS_TOR_M_HU_2022

Cost (NSI hours per year from 2019): ---200

Burden (Respondents hours per year): ---600

D_120_Q+BCS_TOVT_PVS_TOVV_M_2022

Cost (NSI hours per year 2022): 4296

Burden (Respondents hours per year): 20642

A revision in official statistics is defined as any change in a value of a statistic released to the public. The fundamental aim of revision is to improve data quality and thereby to be more accurate when reflecting the reality.

HCSO published its renewed revision policy in 2018. The revision policy is in line with the following conceptual frameworks:

• · the official statistical principles of the UN
• the European Statistics Code of Practice
• the “ESS guidelines on revision policy for PEEIs”, which have been approved by the European Statistical Committee in February, 2012
• the quality guidelines of the HCSO
• the Dissemination and Communication Policy of the HCSO
• finally, the HCSO takes into consideration the deadlines of mandatory international data transmissions and publications

HCSO considers any change in the value of already published data as data revision. Revisions take place for a number of distinct reasons, which tend to break into four groups:

• incorporation of better source data (e.g. replacement of first/provisional estimates based on expert judgements, or as a result of benchmarking)
• capturing routine recalculations (e.g. updating the base period)
• reflection of improved methodology (e.g. changes in concepts, definitions or classifications)
• correction of errors

Taking into account the various causes of revisions and the different frequencies of publications, the HCSO – in correspondence with international guidelines – distinguishes the following types of revisions:

• Routine revisions: routine revisions are changes in published data which are related to the regular statistical business process. Routine revisions mainly occur when the incorporation of late information (new or the correction of already obtained) modifies the already published results or in the case of benchmarking.

Routine revisions are conducted periodically, according to a schedule drawn up in advance. With some sets of statistics (e.g. in foreign trade), a number of revisions are needed to obtain final results, while in other cases the provisional results are replaced by final data in the course of one single revision. Routine revisions barely affect the applied methodology, and only a few periods (some months or quarters) back in time are revised and longer revisions take place at a lower frequency, e.g. annually.

• Major/methodological revisions: Major revisions are changes in published data, often substantial, which are due to changes in definitions, classifications and methodologies. Updating of the weights of the base year of an index series, the availability of a new structural source that is only collected at long intervals (5 to 10 years), such as the census, and the entry into force of a new legal act may also cause major revisions.

Major revisions are planned very well in advance and users are informed beforehand on the forthcoming major revisions. They are less frequent than routine revisions and occur only every 5 to 10 years. Since major revisions affect a large part of the time series and sometimes even the complete time series, it is necessary to backcast time series, otherwise major revisions would produce breaks and inconsistencies in them.

• Unplanned revisions: Unplanned or unscheduled revisions are those that are not foreseen (as opposed to planned revisions), because they are a result of unforeseeable events and therefore it is usually not possible to pre-announced them in advance. As unscheduled revisions can undermine confidence in the quality of official statistics, HCSO is committed to avoiding as much as possible unscheduled revisions and to limit them to the case of important errors (whose correction results in significant improvement regarding data quality). Unscheduled revisions are communicated to the users in a transparent manner.

HCSO makes its general and domain specific revision policies publicly available on its official website. HCSO applies the general policy’s principles to all of its statistics (including the STS data transmitted to the Eurostat). Although subject matter statistics may have specificities regarding their revision practices, they have to be fully compliant with the general principles.

HCSO notifies users about forthcoming revisions in time and indicates their date and time in the revision calendar .

The same revision policy is applied nationally and in transmission to Eurostat.

BCS_TOR_M_HU_2022

Planned revision

Routine revision (From 2018):

• First estimate data: reference period + 35 days.
• Final data: reference period + 1 year (first revision).

Methodological revisions:

Due to NGM Decree 48/2013. (hereafter Decree) enterprises involved in the online cash register system (OPG) are obliged to send online information about their sales to the National Tax and Customs Administration (NTCA). The use of online cash register (OPG) data provides us with administrative data, allowing to replace previous questionnaire data. Data transmission is based on a HCSO-NTCA agreement.

From January 2020 data also include market and other non-store retail sales.

Unplanned revision:

Data revisions not announced in advance occur only in exceptional cases, namely if any unforeseeable event (legislative changes, change of data sources, data error, technical problem, etc.) makes necessary the revision of data.

The calculations (MAR, RMAR, MR, MAXAR) can be found in the attached Annex (QPI_Indicators_C120_retail trade_2022)

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Data published in first releases are preliminary; there is a routine revision in each quarter. Data can change due to questionnaires arriving late or the corrections which are initiated by data suppliers. The indicators are recalculated from the beginning of the year. The revision practice has not been modified for a long time, there is no need to inform users in advance.

Please find attached the new quarterly QPI indicators: MAR, RMAR, MR, MAXAR.

Seasonally adjusted QPI indicators are not available between 2016 and 2018.

Although turnover data in absolute value (without TOTAL data) were available from 2000 unadjusted and seasonally adjusted turnover data were provided to EUROSTAT first time in 2018.

As a result, it was only possible to produce year-on-year indices for QPI indicators from 2019 onwards.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly data were produced model based from the survey OSAP 2236 Quarterly performance statistics used VAT as auxiliary.

The first and second month of the quarter year were forecast from the previous quarterly collected data, there were revised in the third month with the actual collected quarterly performance statistics.

Data were changed every month from the first reference period for the following reasons:

• Monthly data were estimated from quarterly data used a disaggregation model.
• VAT data (auxiliary) were revised each month.
• Monthly data were revised in each third month with the current quarterly data.

The major revision will take place in August following the reference year. In this month is the annual revision of quarterly data (SBS comparison) and the annual revision of VAT data.

Please find attached the monthly QPI indicators: MAR, RMAR, MR, MAXAR.

These data series were sent first in January 2021. We have only 12 values instead of 36.

Year/year data are not available for unadjusted and calendar adjusted data.

Seasonally adjusted data (SA) are available for 2022 period/period.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly value indices of wholesale and retail trade; repair of motor vehicles and motorcycles were produced model based from the survey OSAP 2236 Quarterly performance statistics used VAT as auxiliary.

The first and second month of the quarter year were forecast from the previous quarterly collected data, there were revised in the third month with the actual collected quarterly performance statistics.

Data were changed every month from the first reference period for the following reasons:

• Monthly data were estimated from quarterly data used a disaggregation model.
• VAT data (auxiliary) were revised each month.
• Monthly data were revised in each third month with the current quarterly data.
• Monthly SPPIs (Services producer price indices) were revised in every month.

The major revision will take place in August following the reference year. In this month is the annual revision of quarterly data (SBS comparison) and the annual revision of VAT data.

Please find attached the monthly QPI indicators for ISPs: MAR, RMAR, MR, MAXAR.

These data series were sent first in January 2021. We have only 12 values instead of 36.

Year/year data are not available for unadjusted and calendar adjusted data.

Seasonally adjusted data (SA) are available for 2022 period/period.

BCS_TOR_M_HU_2022

Source of data:

• Mandatory data collection of the National Data Collection Program (OSAP) ordered by the government
• Aggregated online cash register data from the National Tax and Customs Administration of Hungary (NTCA)
• VAT data to estimate mail order and online trade turnover
• Monthly data of the National Tobacco Sales Non-profit Ltd to determine the turnover of specialized tobacco shops from 1 July 2013.

Scope of data providers: enterprises operating shops (regardless of their main activity and legal form). The data collection is based on operating licenses issued by local governments as well as on the HCSO aggregate register of officially declared activities (Commercial Register).

Due to a new decree introduced in 2014, enterprises operating cash machines involved in the online cash register system are obliged to send online information about selling in retail chain to the National Tax and Customs Administration of Hungary (NTCA). After the system had provided reliable data we have started to use this administrative data source as well.

In the data collection, the scope of data providers consisted of two parts till 2019. The full-scope part involves enterprises with at least 50 employees operating at least 6 shops; enterprises operating at least 7 shops regardless of the number of employees; enterprises with a significant floor area of shops in the relevant field of activity. The selection of all other shops is made on the basis of a stratified simple random systematic sample.

We still keep this division of the population with having cash register data and a „simplified” questionnaire for those enterprises whose shops (all of them) are in the scope of the decree and do not carry on any other activity; and the original „full” questionnaire for the rest of the full scoped enterprises. Data for the rest of the population for which the simple random sampling was used before are coming only from the cash register data.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Quarterly mandatory sample survey (OSAP 2236) is used for enterprises between 5 and 49 persons employed. A systematic sampling method is applied. The systematic sampling is based on the random order of legal units and non-profit organisations. The sample is stratified; in case of legal units over 49 persons employed total enumeration is applied; there is no stratification.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly value indices of wholesale and retail trade; repair of motor vehicles and motorcycles are published in line with the EBS Regulation.

Source data are the following:

• Survey OSAP 2236 Quarterly performance statistics
• Monthly VAT as auxiliary.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were produced model based.

Source data are the following:

• Survey OSAP 2236 Quarterly performance statistics
• Monthly VAT as auxiliary.

BCS_TOR_M_HU_2022

Monthly

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Quarterly (OSAP 2236)

BCS_TOR_M_HU_2022

Data collection is based partly on on-line survey. The design of the questionnaire including the set of checking rules is the job of the statisticians, and the check of the operation happens in close cooperation with IT department at the end of the previous year. The IT system sends an e-mail to data providers if a new questionnaire becomes accessible, and the deadline is expired. In case of non-response:

• re-contact by phone
• sending a warning message
• fine as a final tool.

The other part of the data is coming from administrative sources regularly from the National Tax and Customs Administration of Hungary (NTCA) and from the National Tobacco Sales Non-profit Ltd.

D_120_Q_HU_2022

Data collection is based on an online survey. The design of the questionnaire including the set of checking rules is the job of the statisticians, and the check of the operation happens in close cooperation with the IT Department at the end of the previous year. The IT system sends an e-mail to data providers if a new questionnaire becomes accessible, and the deadline expires. In case of non-response:

• Re-contact by phone
• Sending a warning message
• Fine as a final tool.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly value indices of wholesale and retail trade; repair of motor vehicles and motorcycles were produced model based from the survey OSAP 2236 Quarterly performance statistics used VAT as auxiliary.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly Volume of sales indices of wholesale and retail trade; repair of motor vehicles and motorcycles were produced model based from the survey OSAP 2236 Quarterly performance statistics used VAT as auxiliary.

BCS_TOR_M_HU_2022

The total indices calculating as weighted average have to be between the minimum and maximum of each component. (For example, the unadjusted volume index of retail sale of food, beverages and tobacco is between unadjusted volume index of sale in non-specialised stores and sale in specialised stores). The similar internal rules and relations are checked for every record. At the second stage data are compared to the results of other data collections (for instance, the report on the sales of retail trade and catering by commodity groups, which is a quarterly data collection and SBS data).

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Reported data are checked by IT tools. The reports with the serious mistakes are sent back to the data provider asking for correction. The codes (NACE, Staff categories of enterprises, Geographic area) come from the Business Register. If one of the codes of data provider is changed over the year the reason is cleared up.

Before the data transmission the credibility examination is carried out. The experts review the values and the changing of the aggregates calculated 2 digits of NACE Rev. 2.

The data are transformed into SDMX form by SDMX converter web application.

Before the finalisation of the data file the values are compared to the SBS data over a major revision.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Reported monthly model-based data were examined according to the following criteria:

• Changes were compared period/period.
• Changes were compared year/year.
• Changes of the auxiliary (VAT) were compared period/period
• Data were converted and validated by SDMX converter web application.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Reported monthly model-based volume of sales indices were examined according to the following criteria:

• Changes were compared period/period.
• Changes were compared year/year.
• Changes of the auxiliary (VAT) were compared period/period
• Changes of the SPPIs (services producer price indices) were compared period/period
• Data were converted and validated by SDMX converter web application.

BCS_TOR_M_HU_2022

In the full scope part we impute with the previous-year-same-period data if exists. If there is no such data but previous period data is available, the product of this and the average dynamics (the rate of the average of the period and the previous period) will be the imputed data. We do not impute any missing data in the administrative data source.

The index is Paasche chain index. Over the compilation the price index of retail trade and the volume index of retail trade turnover are calculated.

The transmission is carried out in SDMX format via eDAMIS system.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Imputation is carried out for the full scope part of the survey. The value of the corresponding period of the previous year is used. If the necessary data are not at our disposal the imputed value is calculated from the last annual data. If the suitable annual data are not available, administrative data (VAT or Corporate tax data) are used. If there are not adequate data from previous periods or administrative sources the imputation is based on the average of corresponding stratum.

Furthermore, imputation is performed for the members of the sample concerning stock data if they were data providers in the previous period.

The number of enterprises in a stratum which is observed in a representative way divided by the number of legal units in the sample is the basis of the weight used for grossing up the sample. More specifically the number of the enterprises from the sample which sent data or which were imputed is included in the denominator.

After imputation and grossing-up, new variables are derived (e.g. total gross output value or gross value added). These data were aggregated to 2 digits level of NACE Rev. 2 transmitted to the National account department, EUROSTAT in SDMX format via eDAMIS system  and published in Dissemination database – STATINFO.

BCS_TOVT_M_HU_2022 (G, G45, G46)

Monthly Value indices of wholesale and retail trade; repair of motor vehicles and motorcycles were published in line with the EBS Regulation.

Monthly data are produced model based from the survey OSAP 2236 Quarterly performance statistics, where the amount of 3 months is equal to the amount of the quarter year. Monthly value indices are calculated on the average of the data of the base year 2015.

BCS_TOVV_M_HU_2022 (G, G45, G46)

Monthly volume of sales indices were published in line with the EBS Regulation.

Monthly turnover data were produced model based from the survey OSAP 2236 Quarterly performance statistics (approximately 58.000 data provider) using the turnover data of the monthly VAT returns as auxiliary. The amount of 3 months must be equal to the amount of the quarter year.

Volume of sales indices were prepared from monthly model-based turnover data according to the EUROSTAT recommendation, using chain linked, annual overlap methodology on the basis of the year 2015, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.

At the Hungarian Central Statistical Office the TRAMO/SEATS method with JDemetra+ is used for seasonal adjustment in accordance with the ESS guidelines on seasonal adjustment. Model revision as default takes place yearly, and the results of the new model are published with the first data of the new year. During this step a fully automated model identification is made by TRAMO/SEATS, but the final decision is based on subject-matter domain information. During the year, with each new data the coefficients of the model are re-estimated, and revision of the seasonally adjusted data is made from the beginning of the time series. No forecast is made in any step of the process.

Calendar adjustment

For the calendar adjustment country specific calendar is used, which includes all the national holidays since 1990. Working day regressor is used for quarterly time series, and for monthly time series shorter than 15 years. For monthly time series which are at least 15 years long trading day regressors are used. The leap year effect is tested and used if it is significant.

Standard Easter effect is also used in the models if it has a significant effect and/or economic reason is available.

Outlier detection

Additive (AO), level shift (LS) and temporary change (TC) outliers are used during the seasonal adjustment process. In the yearly model revision the results of the automatic outlier detection and the economic reasons are checked. At the end of the process outliers used in the previous year are changed (especially those of which were long time ago) if it is strongly reasonable.

During the year last outliers refresh strategy of the JDemetra+ is used, it means that the outliers in the last year of the sample are re-identified.

More general information can be found in the following link: About seasonal adjustment

17.2

Annex QPI indicators_C120_retail trade_2022.xlsx

• The publication of retail sales volumen data has changed since 2016: the publication of data is based on a new methodology in which data collection is complemented by data from administrative sources (online cash register, VAT).
• First publications of 2018 were made according to the previous methodology.
• From January 2020 data also include market and other non-store retail sales.

Annex QPI indicators_D120_other services_2022

• Seasonally adjusted QPI indicators are not available between 2016 and 2018.
• Although turnover data in absolute value (without TOTAL data) were available from 2000 unadjusted and seasonally adjusted turnover data were provided to EUROSTAT first time in 2018.
• As a result, it was only possible to produce year-on-year indices for QPI indicators from 2019 onwards.

Annex QPI indicators_Monthly_G_G45_G46_TOVT_2022

• These data series were sent first in January 2021. We have only 24 values instead of 36.
• Year/year data are not available for unadjusted and calendar adjusted data.
• Seasonally adjusted data (SA) are available for 2021-2022 period/period.

Annex QPI Indicators_Monthly_G_G45_G46_TOVV_2022

• These data series were sent first in January 2021. We have only 24 values instead of 36.
• Year/year data are not available for unadjusted and calendar adjusted data.
• Seasonally adjusted data (SA) are available for 2021-2022 period/period.