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Regional economic accounts (reg_eco10)

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National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: Statistical Office of the Republic of Slovenia - SURS

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Regional accounts are a regional specification of the national accounts and therefore based on the same concepts and definitions as national accounts (see domain nama10). The specific regional issues are presented in Chapter 13 of ESA 2010. More practical rules and recommendations are explained in the Manual on Regional Accounts Methods. Slovenian regional accounts compilation is explained in detail in the Regional Accounts Inventory.

National accounts aggregates gross domestic product (GDP), gross value added (GVA), gross fixed capital formation (GFCF) as well as household sector accounts (the Allocation of primary income account and Secondary distribution of income account), employment in persons, compensation of employees and employment in hours worked, are broken down by statistical regions (NUTS level 3) and cohesion regions (NUTS level 2) of the Republic of Slovenia.

Gross domestic product (GDP) is calculated at market prices. For regional data the different measures include absolute figures, per capita indicators, structural shares and index levels.

9 September 2025

National accounts concepts are also used for regional accounts. All statistical concepts and definitions to be used in national accounts are described in Annex A of the ESA 2010 Regulation.

Regional accounts provide regional breakdowns for major aggregates such as gross value added by industry, gross fixed capital formation and household income. Regional breakdowns are based on the NUTS classification.

Following the ESA 2010 guidelines, regional accounts deal with the economy as a whole. They combine data from different statistical surveys and thus have no common sampling reference frame. In regional accounts the observation units are enterprises, local units and households.

All observation units on the geographical and economic territory of Slovenia are the target statistical population as a source of information for building the regional accounts. Regional accounts are fully covered.

To obtain per capita figures, the population data are used. For this purpose, the total number of residents is estimated as a 4 quarterly average and is in line with the annual national population. The number of residents of a certain region is calculated as a percentage of all residents.

The reference area to which the regional accounts data refer is Slovenia. In geographical terms, Slovenia (NUTS 1 level) is divided into two cohesion regions (NUTS 2 level) and twelve statistical regions (NUTS 3 level).

Regional accounts data refer to calendar years. The gross fixed capital formation data covers the period from 2000 to the current calendar year minus 2. The regional gross value added, employment in persons and hours worked, compensation of employees and household sector accounts (limited to income distribution and redistribution) cover the period from 2000 to the current calendar year minus 1.

Regional accounts data are constantly exposed to accuracy checks by verifying any change implemented during the same production round with respect to the previous version of the same year and with respect to the previous release. The changes are calculated as a growth rate and/or as a percentage of GDP. The differences that arise between successive publication data are due to harmonisation with the revised national accounts data (gross domestic product or non-financial sector accounts) and due to changes in regional accounts data sources and methods. Revised regional accounts data are published within regular publications in line with the Release Calendar.

Transactions on the economic territory of Slovenia are performed in the national currency euro (EUR). Until 2007 the national currency was Slovenian tolar (SIT) and the fixed exchange rate of 1 EUR=239.64 SIT to convert historical data to euro is used.

Regional accounts variables are expressed in values (million EUR), structural shares, growth rates, index level, and various other measures (e.g. percentages, per capita data). Employment is expressed in the number of persons (thousand) and in hours of work (million).

Data sources, methods and compilation techniques are country specific, but should be employed in such a way that the definitions and concepts in ESA 2010 are met. Many guidance documents on general and specific national accounts compilation issues are available. For more details see section 10.6. “Documentation on methodology”. 

In compiling regional accounts the same statistical concept and definitions are used as for compiling national accounts. Regional and national accounts also have largely common data sources and completely consistent end results (regional results are always reconciled with national accounts aggregates). Some methods of compiling regional accounts allow using of national accounts data which are usually based on various data sources at a much more detailed level than the level of the data sources used in compiling regional accounts. Regional accounts data on GVA and GFCF are compiled by using top-down and bottom-up approaches. In Slovenian regional accounts the majority of the compensation of employees is regionalized with bottom-up methods. Compensation of employees by region is calculated from the aspect of the payer – this means that compensation of employees is allocated to the region where the payer has its headquarters. Regional household accounts are limited to the distribution accounts, without the generation of income account. Distributing the data on different incomes or expenditure of the household members is based on the exhaustive data sources which include the information on individual’s address, municipality or administrative unit.

Regional accounts compilation builds upon various statistics that are primarily collected for other statistical and administrative purposes (primary statistics or administrative data). The most important data sources used are administrative sources (i.e. annual accounting statements, financial statements for insurance companies, reinsurance companies and pension funds, budgetary statistics and balance sheets, budgets of municipalities, health and pension fund data, customs declarations, monthly reports on value added, tax and excise duties, and annual income tax declaration, etc.), statistical surveys (Annual Industry Report, Annual Statistical Survey on Construction, Annual Survey on Trade, Annual GFCF Survey, Survey on Building Permits, Labour Cost Survey, tourism statistics, agricultural and forest statistics, etc.), the Statistical Register of Employment and the population census.

Overall, it is difficult to be exhaustive in the listing of all data sources. The main data sources and some additional information on the data sources and collection methods of regional accounts calculation are listed in methodological explanations that are regularly updated and published along with the results of compilation (see section 10.6. “Documentation on methodology”).

 Annual.

Regional accounts data become available to users as timely as possible, taking into account an adequate balance between accuracy and timeliness. The Statistical Office of the Republic of Slovenia published the regional gross fixed capital formation data 21 months and 10 days after the end of the reference year, the regional household sector accounts 9 months and 22 days and the regional gross domestic product 11 months and 14 days after the end of the reference year. Slovenia delivers the regional accounts data to Eurostat on the same day as the data are published in the country.

Regional accounts data are calculated and presented according to the Standard Classification of Territorial Units in the European Union at NUTS 1 (Slovenia), NUTS 2 (two cohesion regions) and NUTS 3 (twelve statistical regions) disaggregated levels.

The geographical comparability between EU Member States and regions is ensured by the application of common ESA 2010 definitions and methodological guidelines (Manual on Regional Accounts Methods).

Regional accounts data are fully comparable over the period from 2000 to the last reference year. Also, in the case of fundamental changes of methods or classifications, the complete time series are revised.