Reference metadata describe statistical concepts and methodologies used for the collection and generation of data. They provide information on data quality and, since they are strongly content-oriented, assist users in interpreting the data. Reference metadata, unlike structural metadata, can be decoupled from the data.
Short-term Business Statistics Department, Short-term Statistics of Construction and Services Section
1.3. Contact name
Confidential because of GDPR
1.4. Contact person function
Confidential because of GDPR
1.5. Contact mail address
Postal address: H-1525 Budapest P.O.B. 51, Hungary
1.6. Contact email address
Confidential because of GDPR
1.7. Contact phone number
Confidential because of GDPR
1.8. Contact fax number
Confidential because of GDPR
2.1. Metadata last certified
27 May 2026
2.2. Metadata last posted
27 May 2026
2.3. Metadata last update
27 May 2026
3.1. Data description
BCS_PVS_M_HU_2025 (H-N)
Monthly turnover data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices, which are calculated on the average of the previous year.
Used questionnaires:
Until 2022: OSAP 2236 Quarterly performance statistics
From 2023: OSAP 2236 Quarterly performance statistics and OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units.
From 2023, the questionnaire OSAP 2236 no longer contained the data of data provider with the main service activity assigned to Kind-of-Activity Units.
Data provider assigned to KAU are observed monthly with the new questionnaire OSAP 2562. (Table 1. Monthly KAU-level turnover of Kind-of-Activity Units and related taxes. Table 2. in every third month: quarterly performance statistics).
As well as the sales revenue and related taxes of the non-industrial activities data of the OSAP 2235 Monthly performance statistics report is used for the production of monthly Kind-of-Activity Unit level data prepared for EUROSTAT (only from Non-Industrial Activities).
In line with the European business statistics methodological manual, Kind-of-Activity Units level “Services production” was calculated on the basis of services turnover deflated by a suitable service producer price index.
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.
Kind-of-Activity Units: The sales revenue of an economic organization can come from various activities classified in the NACE Rev.2 classification system. These activities may differ from the main activity of the organization. If the economic organization obtains a significant amount of sales revenue from its activity(s) outside of its main activity, it will be distinguished during the statistical observation.
As regards the definitions of variables used in practice of the HCSO Commission Implementing Regulation 2020/1197 is the standard source
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, 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 Commission Implementing Regulation 2020/1197 is the standard source.
3.4. Statistical concepts and definitions
Variable 140101 Production (volume)
In line with the European business statistics methodological manual, Kind-of-Activity Units level “Services production” was calculated on the basis of services turnover deflated by a suitable service producer price index.
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.
Kind-of-Activity Units: The sales revenue of an economic organization can come from various activities classified in the NACE Rev.2 classification system. These activities may differ from the main activity of the organization. If the economic organization obtains a significant amount of sales revenue from its activity(s) outside of its main activity, it will be distinguished during the statistical observation.
As regards the definitions of variables used in practice of the HCSO Commission Implementing Regulation 2020/1197 is the standard source
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units (30 data suppliers with 68 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 34 data suppliers with 58 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, 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 Commission Implementing Regulation 2020/1197 is the standard source.
3.5. Statistical unit
Kind-of-Activity Unit (KAU)
3.6. Statistical population
Short term business statistics on turnover in services, volume indices (PROD)
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
The number of possible data providers of the input data, coming from OSAP 2236 is approximately 62,200.
Business Register has online connection to the database of Registry Court therefor the population is always realistic.
3.7. Reference area
Territory of Hungary. The whole national area is covered and the activities performed outside the national territory is not considered in this variable.
3.8. Coverage - Time
KAU-level monthly ISPs are available from 2021.
3.9. Base period
Base year: 2021
KAU-level monthly ISPs, indices (%)
Reference Period: Month
6.1. Institutional Mandate - legal acts and other agreements
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
Regulation (EU) 2019/2152 of the European Parliament and of the Council on European business statistics concerning short term statistics.
We do not forward STS data to other international organizations (OECD, UN, etc.) other than Eurostat. Therefore, there is no agreement on data sharing and exchange between international data producing agencies.
7.1. Confidentiality - policy
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
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.
8.1. Release calendar
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
(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.
8.2. Release calendar access
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.
8.3. Release policy - user access
KAU-level monthly ISPs were published in the HCSO on the last working day of each month under Summary tables (STADAT).
In all cases, the data were sent to EUROSTAT before this date, converted in the ESTAT+BCS+1.0 system embargo time and FLAG E in the CONF STATUS for the last 3 time-period were used.
No specific user group got the information before publication.
Monthly
10.1. Dissemination format - News release
There is no first release for KAU-level monthly ISPs.
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.
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.
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.
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.
User-oriented quality reports on statistical domains are prepared in the framework of methodological documentation and are published as metainformation on the HCSO website: Methodological documentation .
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 – concerning first releases – quality check is carried out and documented each month for the management of HCSO. However, this report is not published.
11.1. Quality assurance
The HCSO Quality Policy lays out the principles and commitments related to the quality of statistics. The document is consistent with the goals set out in the Mission and Vision statements and with the principles of the European Statistics Code of Practice and is publicly available 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.
11.2. Quality management - assessment
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 of the survey OSAP 2236 Quarterly performance statistics is about 95,9%, 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.
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
The time series of the Kind-of-activity unit level monthly ISPs are available in the Summary tables for everyone.
The concepts and methods are based on European legislation. The main international user is Eurostat.
12.2. Relevance - User Satisfaction
Not available.
We do not conduct a user satisfaction survey. However, our summary tables receive a high number of views on the Internet site of HCSO.
12.3. Completeness
The level of detail is in accordance with the EBS regulation. 34 time series were transmitted to Eurostat. Data are available for everyone in the Summary tables (STADAT)
KAU-level monthly ISPs were produced by model-based estimation.
13.2. Sampling error
Not applicable
KAU-level monthly ISPs were produced by model-based estimation.
13.3. Non-sampling error
Not applicable
KAU-level monthly ISPs were produced by model-based estimation.
14.1. Timeliness
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
Data were published in the Summary tables (STADAT) t+60.
The publications agree with the dissemination calendar. Data transmissions were adhered to the scheduled dates.
15.1. Comparability - geographical
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.
15.2. Comparability - over time
KAU-level monthly ISPs of services turnover are available from 2021.
15.3. Coherence - cross domain
KAU-level monthly ISPs were published in line with the EBS Regulation.
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units (30 data suppliers with 68 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 34 data suppliers with 58 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs are revised with the SBS compared quarterly service turnover data.
15.4. Coherence - internal
There was not known internal inconsistency.
Cost (NSI hours per year, 2025): 4296
OSAP 2236: Burden (Respondents hours per year, 2025): 25 387
OSAP 2562: Burden (Respondents hours per year, 2025): 695
TOTAL: 26 082
17.1. Data revision - policy
HCSO published its renewed revision policy in 2018. The revision policy is in line with the following conceptual frameworks:
finally, the HCSO takes into consideration the deadlines of mandatory international data transmissions and publication
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
Considering 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 back cast 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 .
17.2. Data revision - practice
KAU-level monthly ISPs of services turnover were produced model based on the surveys OSAP 2236 Quarterly performance statistics used VAT as auxiliary and from the OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units, as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities)
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 November following the reference year. In this month is the annual revision of quarterly data (SBS comparison) and the annual revision of VAT data.
Due to the quarterly and annual revision of the quarterly input turnover data, as well as the monthly/annual revision of our auxiliary (VAT) data, higher differences could be found in some cases in our data series. As a result, seasonally adjusted data may also have changed in some cases significantly from the data sent in the previous month.
Monthly data cannot be considered final.
HCSO notifies users about forthcoming revisions in time and indicates their date and time in the revision calendar.
QPI indicators: MAR, RMAR, MR, MAXAR.
In the field of trade and services KAU-level monthly ISPs/Volume indices were submitted (as required) first in March 2024 from January 2024 with first reference period 2021.
Our monthly data are model based.
Due to the quarterly and annual revision of the quarterly input turnover data, as well as the monthly/annual revision of our auxiliary (VAT) data, higher differences could be found in some cases in our data series.
Monthly data cannot be considered final.
The Reference periods refers to 36 values for monthly data and we only have 24 because the values of the time-period 2021-2023 were sent at the same time as the January 2024 data.
2023-2024 Last publication for both years: December 2024
2025 Last publication: December 2025
Please find attached our available calculation for the QPI indicators (MR, MAR, RMAR, MAXAR).
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
OSAP 2236 is a quarterly mandatory sample survey, 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.
OSAP 2235 Monthly performance statistics report (only from Non-Industrial Activities).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
18.2. Frequency of data collection
Quarterly input data to model-based estimation (OSAP 2236 Quarterly performance statistics) and monthly (OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units, OSAP 2235 Monthly Report on Economic Statistics – Industry – only Non-Industrial Activities)
18.3. Data collection
KAU-level monthly ISPs were published in line with the EBS Regulation.
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
Data collections are based on online surveys. The design of the questionnaires 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.
18.4. Data validation
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
Changes of the SPPIs (services producer price indices) were compared period/period
Data were converted and validated by SDMX converter web application.
18.5. Data compilation
KAU-level monthly ISPs were published in line with the EBS Regulation.
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, 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+ 2.2.0 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, first an automated model identification is made by TRAMO/SEATS, but the final decision is based on the methodologist’s evaluation of model fit, diagnostics, and inner logic within the topic, and also 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. More substantial model changes may only occur in case of a major revision of input data, or in exceptional cases (e.g. extremely worsening diagnostics, functional form no longer resulting in output).
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 10 years. For monthly time series which are at least 10 years long, trading day regressors are tested and used if the differences between the days of the week are significant. 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. Where it is strongly reasonable, a 15 days duration is set to capture the entire effect.
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 from long time ago) if it is strongly reasonable.
During the year, the models are refreshed with the last outliers option of the JDemetra+software, which means that the outliers in the last year of the sample are re-identified.
There is no date in these concepts (ddMonthYYYY). 9.2.1.19 is the official number of our summary table in STADAT
BCS_PVS_M_HU_2025 (H-N)
Monthly turnover data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices, which are calculated on the average of the previous year.
Used questionnaires:
Until 2022: OSAP 2236 Quarterly performance statistics
From 2023: OSAP 2236 Quarterly performance statistics and OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units.
From 2023, the questionnaire OSAP 2236 no longer contained the data of data provider with the main service activity assigned to Kind-of-Activity Units.
Data provider assigned to KAU are observed monthly with the new questionnaire OSAP 2562. (Table 1. Monthly KAU-level turnover of Kind-of-Activity Units and related taxes. Table 2. in every third month: quarterly performance statistics).
As well as the sales revenue and related taxes of the non-industrial activities data of the OSAP 2235 Monthly performance statistics report is used for the production of monthly Kind-of-Activity Unit level data prepared for EUROSTAT (only from Non-Industrial Activities).
27 May 2026
Variable 140101 Production (volume)
In line with the European business statistics methodological manual, Kind-of-Activity Units level “Services production” was calculated on the basis of services turnover deflated by a suitable service producer price index.
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.
Kind-of-Activity Units: The sales revenue of an economic organization can come from various activities classified in the NACE Rev.2 classification system. These activities may differ from the main activity of the organization. If the economic organization obtains a significant amount of sales revenue from its activity(s) outside of its main activity, it will be distinguished during the statistical observation.
As regards the definitions of variables used in practice of the HCSO Commission Implementing Regulation 2020/1197 is the standard source
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of-Activity Units (30 data suppliers with 68 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 34 data suppliers with 58 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, 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 Commission Implementing Regulation 2020/1197 is the standard source.
Kind-of-Activity Unit (KAU)
Short term business statistics on turnover in services, volume indices (PROD)
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
The number of possible data providers of the input data, coming from OSAP 2236 is approximately 62,200.
Business Register has online connection to the database of Registry Court therefor the population is always realistic.
Territory of Hungary. The whole national area is covered and the activities performed outside the national territory is not considered in this variable.
Reference Period: Month
Not applicable.
KAU-level monthly ISPs were produced by model-based estimation.
KAU-level monthly ISPs, indices (%)
KAU-level monthly ISPs were published in line with the EBS Regulation.
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
Monthly data are produced using a model-based estimation with input data from the survey OSAP 2236 Quarterly performance statistics and the monthly VAT returns as auxiliary, OSAP 2562 Monthly report on the economic performance of the Kind-of- Activity Units (32 data suppliers with 75 KAUs), as well as OSAP 2235 Monthly Report on Economic Statistics – Industry – (only Non-Industrial Activities: 36 data suppliers with 45 KAUs in trade and services, without main activity and other KAUs in industry).
OSAP 2236 is a quarterly mandatory sample survey, 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.
OSAP 2235 Monthly performance statistics report (only from Non-Industrial Activities).
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
Monthly
KAU-level monthly ISPs 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 2021, deflated with Laspeyres-type service producer price indices calculated on the average of the previous year.
Data were published in the Summary tables (STADAT) t+60.
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.
KAU-level monthly ISPs of services turnover are available from 2021.
