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

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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.

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

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.

The survey covers:

Section I,

Divisions 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.

BCS_TOVT_M_HU_2022 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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

Coverage of monthly value indices (TOVT):

Aggregate H-N,

Sections H, I, J, L, M, N,

Divisions H49, H50, H51, H52, H53, I55, I 56, J58, J59, J60, J61, J62, J63, M69, M71, M73, M74, N77, N78, N79, N80, N81, N82

Group: M702 of NACE Rev. 2.

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.

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

Legal unit (considered as enterprise).

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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 Aggregate H-N,

Sections H, I, J, L, M, N,

Divisions H49, H50, H51, H52, H53, I55, I 56, J58, J59, J60, J61, J62, J63, M69, M71, M73, M74, N77, N78, N79, N80, N81, N82

Group: M702 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.

D_120_Q_HU_2022

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.

Monthly turnover in services, value (TOVT)

DATASET: STSSERV_TURN_M_HU

Data are available from 2009.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Base year: 2015

BCS_TOVT_M_HU_2022 (H-N)

DATASET: STSSERV_TURN_M_HU

Base year: 2015

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

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

BCS_TOVT_M_HU_2022 (H-N)

DATASET: STSSERV_TURN_M_HU

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

D_120_Q_HU_2021

DATASET: STSSERV_TURN_Q_HU_2021

Reference Period: Quarter

BCS_TOVT_M_HU_2021 (H-N)

DATASET: STSSERV_TURN_M_HU

Reference Period: 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.

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. Quarterly turnover value indices were submitted in 2021.

BCS_TOVT_M_HU_2022 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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 from 2021.

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.

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.

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 closure of the Budapest Stock Exchange. Within the given ministry and the National Bank of Hungary responsible use of our data is ensured by strict rules.

The data in first releases, in dissemination database and in other tables are open for everyone after the publication.

D_120_Q_HU_2022

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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

In all cases, the 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.

Quarter and month

There is no first release for service turnover.

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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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

Summary tables (STADAT).

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

D_120_Q_HU_2022

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)

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 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.

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

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

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

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

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. (Currently the National Statistics Code of Practice is available in Hungarian only on the HCSO website.)

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. 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. The service turnover is published in line with EBS regulation.

The average weighted response rate 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)

The time series of the monthly service turnover is available in the Summary tables for everyone. (https://www.ksh.hu/stadat_files/gsz/en/gsz0061.html)

The concepts and methods are based on European legislation. The main international user is Eurostat. The principal domestic users are the National Central Bank of Hungary and Ministries. The relevant internal users are the National Accounts department and the Business statistics department.

Not available.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

The level of detail is in accordance with the STS regulation. 24 time series 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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

The level of detail is in accordance with the EBS regulation. 31 time series were transmitted to Eurostat. Data are available for everybody in the Summary tables (STADAT)

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

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.

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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.

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Data of quarterly service turnover are published in line with the STS Regulation. 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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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

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 area of Hungary. The whole country is treated in a uniform manner from a statistical point of view. The same statistical concepts can be applied for all of the area. All data sources cover the regions fully. There are no difficulties concerning the geographical comparability.

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

Monthly service turnover data are available from 2009.

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

Data of monthly service turnover 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 were revised with the SBS compared quarterly service turnover data.

There was not known internal inconsistency.

D_120_Q+BCS_TOVT_PVS_TOVV_M

Cost (NSI hours per year, 2022): 4296

Burden (Respondents hours per year, 2022): 20642

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 structuralsource 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 .

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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 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.

D_120_Q_HU_2022

DATASET: STSSERV_TURN_Q_HU_2022

Quarterly mandatory sample survey (OSAP 2236) is used for legal units 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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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, used VAT data as auxiliary, 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.

Quarter.

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DATASET: STSSERV_TURN_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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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

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

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 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

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.

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 and published in Dissemination database – STATINFO .

BCS_TOVT_M_HU_2022 (H-N)

DATASET: STSSERV_TURN_M_HU_2022

Data of monthly service 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 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.

Seasonal Adjustment

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 New QPI indicators

D_120_Q_HU_2021

DATASET: STSSERV_TURN_Q_HU_2021

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_2021 (H-N)

DATASET: STSSERV_TURN_M_HU

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 2021 period/period.