Gross Domestic Product. Supply
| Value at current prices (€M) | Quarter-over-quarter variation in volume (%) | Year-over-year variation in volume (%) | |
|---|---|---|---|
| GDP | .. Confidential data, low reliability or not available | 0.7 (a) Advanced data | 3.9 (a) Advanced data |
| Gross value added | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available |
| Agriculture | .. Confidential data, low reliability or not available | 0.1 (a) Advanced data | 8.7 (a) Advanced data |
| Industry | .. Confidential data, low reliability or not available | 0.3 (a) Advanced data | 2.7 (a) Advanced data |
| Construction | .. Confidential data, low reliability or not available | 1.7 (a) Advanced data | 3.4 (a) Advanced data |
| Services | .. Confidential data, low reliability or not available | 0.5 (a) Advanced data | 4.6 (a) Advanced data |
| Trade, transport and accommodation | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available |
| Real state, professional and other activities | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available |
| Public administration, education, health and social services | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available |
| Net taxes on products | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available | .. Confidential data, low reliability or not available |
| Source: Idescat. Quarterly Accounts. 2019 Benchmark revision. | |||
| (p) Provisional data. | |||
| (a) Advanced data. | |||
| (..) Confidential data, low reliability or not available. | |||
| Value at current prices (€M) | Quarter-over-quarter variation in volume (%) | Year-over-year variation in volume (%) | |
|---|---|---|---|
| GDP | 407,457 (a) Advanced data | 0.8 (a) Advanced data | 3.5 (a) Advanced data |
| Gross value added (1) | 370,601 (a) Advanced data | 0.9 (a) Advanced data | 3.7 (a) Advanced data |
| Agriculture | 9,965 (a) Advanced data | -0.7 (a) Advanced data | 4.4 (a) Advanced data |
| Industry | 58,721 (a) Advanced data | 0.3 (a) Advanced data | 2.9 (a) Advanced data |
| Construction | 21,133 (a) Advanced data | 2.6 (a) Advanced data | 2.3 (a) Advanced data |
| Services | 280,782 (a) Advanced data | 0.9 (a) Advanced data | 3.9 (a) Advanced data |
| Trade, transport and accommodation | 87,283 (a) Advanced data | 0.3 (a) Advanced data | 5.0 (a) Advanced data |
| Real state, professional and other activities (1) | 128,411 (a) Advanced data | 0.9 (a) Advanced data | 3.8 (a) Advanced data |
| Public administration, education, health and social services | 65,088 (a) Advanced data | 1.8 (a) Advanced data | 2.7 (a) Advanced data |
| Net taxes on products | 36,856 (a) Advanced data | -0.5 (a) Advanced data | 1.4 (a) Advanced data |
| Source: INE. Quarterly Spanish National Accounts. 2024 Benchmark revision. | |||
| Note: Data for Spain were updated on 23 December 2024. | |||
| Data calculated by Idescat from information published by the INE, to facilitate comparability of the tables. | |||
| (p) Provisional data. | |||
| (a) Advanced data. | |||
Last update: February 7, 2025. Next update: May 8, 2025 
Methodological note
Gross Domestic Product (GDP) measures the final result of the production activity of the production units in a territory. There are three vantage points for analysing GDP: supply, demand and income.
- From the standpoint of supply, GDP makes it possible to evaluate the contributions made by the different productive branches to the economy as a whole (gross value added of agriculture, industry, construction and services).
- In order to conduct the analysis from the standpoint of the end-use of the goods and services produced (consumption, investment, external sector), GDP calculated from the demand side is used.
- Finally, from the income standpoint, GDP makes it possible to give a breakdown of the contribution made by the productive factors to production: compensation of wage-earners (labour), gross operating surplus (capital) and mixed income.
Idescat draws up the statistical actions Quarterly GDP Advance and Quarterly Accounts of Catalonia and presents them integrated in the same series of quarterly accounts, while respecting the specific calendar of availability of results of each of them.
The quarterly series should be seen as provisional, both in Catalonia and in Spain, given that the required congruence between annual and quarterly estimates makes it necessary to modify at least the quarterly estimates while the annual estimates are provisional.
Eurostat requires statistics offices to update regularly (at least every five years) the sources and estimation methods used to compile the economic accounts. All the results of the statistics making up the economic accounts of Catalonia will include this revision when each set of statistics is updated from March 2025 onwards, coinciding with the release of the Annual Economic Accounts for Catalonia 2024 and the accounts for the 4th quarter of 2024. The Benchmark Revision 2024 will be applied to the entire accounting series 2000-2024. In the case of the Spanish economic accounts, the results of the annual and quarterly accounts were published in September 2024 in accordance with the Benchmark Revision 2024. .
Les sèries trimestrals de la Revisió estadística 2019, que substitueixen les de la Base 2010, s'han elaborat a partir de l'actualització de les fonts estadístiques i dels mètodes d'estimació, dins d'un projecte de revisió impulsada per Eurostat i el Banc Central Europeu.
You can get more information about these statistics in the methodology.