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Regional economic accounts (reg_eco10)

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National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Hungarian Central Statistical Office (HCSO)

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Regional accounts record economic transactions in accordance with the methodological principles of the output approach, but the indicators of the regional accounts are produced in a hierarchical territorial breakdown.

Regional accounts are a regional specification of the national accounts and therefore based on the same concepts and definitions as national accounts. The main specific regional issues are addressed in Chapter 13 of ESA 2010, but not practically specified. For practical rules and recommendations on sources and methods, see the publication: Manual on regional accounts methods. At the national level, HCSO is responsible for the compilation of regional accounts.

Hungarian regional account compiles the following aggregates at a NUTS3 level:

  • Gross value added (at current prices);
  • Gross value added (at previous year prices);
  • Total employment (in persons);
  • Employees (in persons);
  • Self-Employed (in persons);
  • Population.

Regional accounts produce a breakdown of a breakdown of the following at a NUTS2 level:

  • Compensation of employees;
  • Gross fixed capital formation;
  • Total employment (in hours worked);
  • Employees (in hours worked);
  • Self-employed (in hours worked);
  • The main indicators of regional household income and transfer data.

In addition to the list above, HCSO also compiles the following variables at a NUTS3 level, however these are currently only available through HCSO’s website. (For more information see section 10.)

  • Gross domestic product;
  • Gross domestic product per capita;
  • Gross domestic product per capita as a percentage of the national average;
  • Order of counties on the basis of GDP per capita;
  • Gross domestic product per capita in PPS.

6 October 2025

The regional gross domestic product (GDP) is used in order to measure and compare the economic activity of regions. It is the most important indicator for the selection of regions eligible for support under the investment for growth and jobs goal of the EU's regional policy.

Regional accounts use the GDP calculated by the production approach, then the regional GDP is estimated using the top-down method.

  • Production (output) approach: GDP is the sum of gross value added of the various institutional sectors or the various industries, plus taxes and less subsidies on products.
  • Top-down methods: The national figure from the national accounts is distributed using regional indicators which are close to the variable to be estimated.

Employment data is based on domestic concepts. Further information on the definitions of indicators used in regional accounts can be found in ESA 2010:

  • Compensation of employees: ESA paragraph 4.02.
  • Employment: ESA paragraph 11.11.
  • Employees: ESA paragraph 11.12.
  • Self-employed person: ESA paragraph 11.15.
  • Gross fixed capital formation: ESA paragraph 3.124.
  • The main indicators of regional household income and transfer data are as follows:
  • Mixed Income:  ESA paragraph II.1.1.8.19.
  • Gross Operating Surplus: ESA paragraph II.1.1.8.20.
  • Property Income (D.4): ESA Chapter 4 paragraph 4.41.
  • Net Social Contributions (D.61): ESA Chapter 4 paragraph 4.91.
  • The heading, ‘social benefits other than in cash’ (D.62) is made up of three sub-headings:
  • Social security benefits in cash (D.621): ESA Chapter 4 paragraph 4.103.
  • Other social insurance benefits (D.622): ESA Chapter 4 paragraph 4.104.
  • Social assistance benefits in cash (D.623): ESA Chapter 4 paragraph 4.105.
  • Other current transfers (D.7) of household are included in the following sub-items:
  • Net non-life insurance premiums (D.71): ESA Chapter 4 paragraph 4.112.
  • Non-life insurance claims (D.72): ESA Chapter 4 paragraph 4.114.
  • Miscellaneous current transfers (D.75): ESA Chapter 4 paragraph 4.125.

The concepts and definitions used are fully in line with ESA 2010. Detailed information about methodology and metadata related to regional accounts and national accounts are available on HCSO’s website.

National accounts deal with the economy as a whole. They combine data from a host of base statistics, and thus have no common sampling reference frame.

The elementary building block of ESA 2010 statistics is the institutional unit, which is defined as an elementary economic decision-making centre characterised by uniformity of behaviour and decision-making autonomy in the exercise of its principal function. This can be a household, a corporation, or a government agency.

HCSO do not use the Local Kind-of-Activity unit, total performance of legal units is accounted under their principal economic activity. When compiling regional accounts, the data of institutional units are partitioned into local units on the basis of residence.

As regards regional accounts, the economy is considered as a whole, but the regional level is calculated according to the regional breakdown, called NUTS 1, 2, and 3.

The National accounts include all resident statistical units. A unit is a resident unit of a country when it has a centre of predominant economic interest on the economic territory of that country, that is, when it engages for an extended period in economic activities on this territory. Regional accounts’ definitions are in line with national accounts regarding statistical population.

Regional accounts use mid-year population for its estimates, which can be defined as the arithmetic mean of the population number at the beginning and at the end of the year. Number of mid-year population is used for comparison of vital events (e.g. live birth) occurring during one calendar year to the number of population (rates, indicators concerning population).

The reference area for national and regional accounts is the total economic territory of Hungary. The total economy is broken into NUTS regions which corresponds to the administrative division of the country.

  • NUTS 1 – macroregions – 3 units
  • NUTS 2 – regions – 8 units
  • NUTS 3 – subregions – 20 units

Hungary has no extra regions or overseas territories.

The reference period used for presenting regional accounts data is the calendar year.

Data is periodically revised and differences between new and old versions in each round of revision are analysed.

Hungarian regional accounts use the top-down method. This means that the total economy’s figures are disaggregated using income-related indicators. For this reason, estimates of compensation of employees and employment may be more accurate than GDP estimates.

Similarly, because of the top-down approach, the higher the level of territorial aggregation, the more accurate estimates are, so the most accurate breakdown is NUTS1, then NUTS2, and then NUTS3.

Information on accuracy can be seen in Chapter 5. Accuracy at Eurostat’s Statistical reports Quality report on national and regional accounts – 2023 data transmissions – 2024 edition - Statistical reports - Eurostat

With the exception of some variables concerning population and employment that are expressed in number of persons and hours worked, data series show all flows and stocks in monetary terms: in Hungarian national currency, in Hungarian forint (HUF). Indicators in national currency units are expressed in millions of forints.

In addition to measurement in current prices, some regional accounts variables are also expressed in previous year's prices and growth rates (volume indices). Furthermore, it is possible to derive growth rates and indices, and various other measures '(e.g. percentages, per capita data, data expressed in purchasing power standards)' can be applied as well.

Figures on HCSO’s website are consistent with the series transmitted to Eurostat.

The leading approach to compile GDP in the framework of annual national accounts in Hungary is the production approach. The production account relies to a great extent on administrative sources. These are supplemented and combined with statistical surveys. The content and accounting rules applied in the administrative sources differ mainly by institutional sector. So different measures should be taken to ensure the transition from private accounting and from government accounting to ESA 2010 concepts. Regional GDP is estimated using the top-down method: the national figure is disaggregated using regional indicators which are close to the variable to be estimated. Such indicators are obtained via surveys or derived from the statistics of departments other than Hungarian National Accounts.

Regional compensation of employees is estimated in a similar manner to regional GDP, using the top-down method with auxiliary indicators. The number of employees and self-employed is calculated on the basis of compensation of employees and data on sole proprietors. Finally, the number of employed and self-employed persons and data from the Quality of Life and Natural Resources Statistics departments are used to estimate regional hours worked.

Indicators of household sector accounts are broken down into NUTS II and NUTS I levels using a top-down method. Administrative data sources and other data of HCSO are used for regional estimation.

For GFCF, the primary source is the OSAP 2240 investment questionnaire, as in national accounts. Since there is no regional sectoral breakdown, additional estimation steps are introduced using territorial data. These include indicators such as the number of new dwellings built, the number of individual entrepreneurs, and the number of small enterprises by county. The regionally estimated components are proportionally scaled so that their sum matches the national-level GFCF figures.

Sources used for estimations are own data collections of HCSO and administrative data takeover from National Tax and Customs Administration of Hungary, National Bank of Hungary and other government offices and institutions.

National Accounts Department and colleagues responsible for data collection regularly discuss the yearly Data collections programme of HCSO (OSAP) and the contents and specifications of surveys to have the necessary detailed data for the regional accounts estimations.

HCSO has bilateral agreements with institutions which collect statistics in their own fields of work and with holders of administrative data collections (records, registers, databases, etc.) on statistical cooperation are signed.

Information about data sources of Hungarian regional accounts is available here: Regional GDP, annual.

The transmission requirements for each dataset are defined in the European System of Accounts (ESA 2010) transmission programme.

Regional accounts data are published at an annual frequency, with preliminary data first available 12 months after the reference year (T+12 months), and final estimations 24 months after the reference year (T+24 months). The dissemination frequency of HCSO is in line with that of Eurostat.

Hungarian regional accounts are based on the aggregates of the total economy, which are available 9 months after the reference period. Regional accounts are published 12 months after the reference period, 3 months after the national aggregates. HCSO strives to reduce the time needed for its publications, however it is currently not feasible to publish regional data significantly faster.

The geographical comparability of national accounts in Hungary is ensured by the application of common definitions of the European System of Accounts (ESA 2010). The top-down method guarantees consistency with national account aggregates and ensures comparability between Hungarian regions at NUTS 1, 2, 3 levels. Worldwide geographical comparison is also possible as most non-European countries apply the SNA 2008 guidelines, and SNA 2008 is consistent with ESA 2010. Hence data are comparable with the results of other countries.

As the data for all reference periods are compiled according to the requirements of the ESA 2010, regional data produced by HCSO are generally comparable over time. In the case of fundamental changes to methods or classifications, revisions of long time series are performed, usually going far back into the past to ensure comparability over time. As an exception, the population time series was only revised back to 2012, resulting in a break in the series for that reference year.