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Regional economic accounts (reg_eco10)

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National Reference Metadata in Euro SDMX Metadata Structure (ESMS)

Compiling agency: National Statistics Institute of Spain (INE)

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The Spanish Regional Accounts (Regional Accounts of Spain – SRA), compiled in accordance with the European System of Accounts (ESA 2010) and transmitted to Eurostat, include regional data at NUTS 2 level for Gross Domestic Product (GDP), Gross Value Added (GVA), Compensation of Employees, Gross Fixed Capital Formation (GFCF), employment (in persons and in hours worked), population and household accounts (income, consumption and disposable income).

At NUTS 2 level, data are broken down by industry according to NACE Rev.2 (A*10).

At NUTS 3 level, data are provided for GDP, GVA, employment (in persons) and population, with a breakdown by NACE Rev.2 (A*6).

The INE does not publish any regional data that is not transmitted to Eurostat.

 

30 September 2025

The Spanish Regional Accounts (SRA) are compiled consistently using the European System of Accounts (ESA 2010) concepts and definitions, specifically in Chapter 13 of Regional Accounts and in Manual on regional accounts methods - 2013 Edition. All data are aligned with the national accounts framework to ensure comparability and coherence. The regional accounts are publicly available on the Spanish National Statistics Institute (INE) website: INEbase / Economy /Economics accounts /Spanish Regional Accounts / Latest data

The units used in the compilation of the Spanish Regional Accounts are defined according to the type of economic analysis to be performed. One of the basic units in ESA 2010 is the institutional unit (IU), which can be, for example, a household, an enterprise, or a government unit. Institutional units are grouped into institutional sectors.

In practice, institutional units often carry out multiple activities simultaneously. To allow for a more precise analysis of production, these units are further divided into smaller, more homogeneous units according to the type of activity. These are referred to as local kind-of-activity units (local KAUs), which are grouped into branches of activity or units of homogeneous production, providing a consistent framework for compiling regional accounts.

The statistical population of regional accounts refers to all resident institutional units within a region, i.e., those whose predominant centre of economic interest is located in that territory. A predominant centre of economic interest means that the unit carries out economic activities and transactions of a significant scale over a sufficiently long period (generally, one year or more).

Population stocks in regional accounts are defined as annual average values, calculated as the mean of the population on 1 January of two consecutive years.

These concepts are aligned with those used in the annual national accounts.

The geographical scope is the entire Spanish economic territory. The Spanish Regional Accounts (SRA) obtain disaggregated data both at the Autonomous Community level (including the Autonomous Cities of Ceuta and Melilla) and at the provincial level. An extra-regio territory is also defined, covering activities that cannot be assigned to a specific region. There are no overseas territories or other areas not included in the transmission to Eurostat.

The accounting period is the calendar year.

Regional accounts are a synthesis statistic, and their accuracy largely depends on the information sources used in their compilation. However, these sources are analysed and processed before being incorporated into the production process.

Regional data in Spain are generally more accurate at NUTS 2 level (autonomous communities), where the underlying administrative and survey data are complete and reliable. At NUTS 3 level (provinces), the data are less precise due to higher disaggregation and reliance on estimation methods.

The units of measure in the Spanish Regional Accounts depend on the type of data to which they refer.

For economic data the unit of measure is millions of euros.

For employment data the units of measure are thousands of people or thousands of hours worked, depending on the target variable of the estimation.

The process of elaboration of the SRA can be structured in several phases:

  1. Obtaining the baseline information and adapting it to the concepts of National Accounts.
  2. Processing of information: once we have the baseline information, it undergoes a series of treatments such as identifying outliers, cleaning errors, estimating missing data and adapting it to the terms of National Accounts.
  3. Implementation of the regionalisation methods foreseen in the ESA 2010 as well as in the manual of regional accounts methods elaborated by Eurostat. According to the information obtained in each case, ascending, descending or mixed methods will be applied.
  4. Adjustment to the Spanish National Accounts data.
  5. Analysis of results: finally, an overall assessment of all the information is made, carrying out numerous controls of consistency and viability.

The Spanish Regional Accounts (SRA) are compiled using a combination of direct and indirect sources. Direct sources provide information on the level of an accounting aggregate, while indirect sources provide information on the change of an aggregate or part of it between two periods and are adjusted using statistical procedures.

The main sources include:

  • structural business statistics, such as the Structural Business Statistics, the Construction Structure Survey, and the Labour Cost Survey;
  • price statistics, including consumer, industrial, and housing price indices;
  • production and activity indicators, such as industrial and services indices, retail trade, passenger transport;
  • administrative registers, including Social Security affiliation, agricultural holdings, and fiscal data.

All sources are integrated and adjusted using statistical procedures to produce regional accounts with territorial and temporal breakdowns.

Regional data are disseminated annually. Each release includes provisional, revised, or definitive data according to the standard revision cycle. Provisional estimates refer to the most recent year, revised data correspond to the following update after incorporating new information, and definitive data are published once no further revisions are expected.

The data are transmitted to Eurostat at the same time as the national publication.

The accounts for any reference year are first published, at the latest, by the end of the following year, in accordance with the Regulation (EU) No 549/2013, and become definitive at most three years after that year ends. In 2025, the publication of GDP has been brought forward to September, instead of December that was done previously.

The time lag in publication is mainly due to the need to collect and process information from multiple sources (administrative and survey-based), ensure consistency with the National Accounts, and carry out quality checks. Efforts to reduce the publication lag include process automation, the use of preliminary estimates, and the integration of more timely administrative sources.

The Spanish Regional Accounts (SRA) ensure comparability across NUTS 2 regions by consistently applying ESA 2010 concepts and methods. Limitations may arise from the size and structure of some administrative sources and differences in the availability of local surveys, but these have a limited impact on key aggregates such as regional GDP and employment. The SRA fully adheres to ESA 2010 concepts, and any minor discrepancies are documented in the methodological chapters of the reports.

At the European level, comparability with other countries is achieved through harmonization of concepts and methods.

In the Spanish Regional Accounts (SRA), time series are generally comparable, with consistent application of ESA 2010 concepts and methods. No significant changes in key variables such as regional GDP, gross value added, or employment have occurred, so the series remain consistent and comparable over recent periods, with no breaks identified in recent cycles.

For users, comparable time series for regional GDP and employment at NUTS 2 level span 24 years, providing sufficient methodological consistency for longitudinal analysis and comparisons.