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Gross Domestic Product. Supply

Gross Domestic Product. Supply. Seasonally adjusted data Catalonia. 2nd quarter 2022
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 1.5 (a) Advanced data 4.8 (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 -1.1 (a) Advanced data -1.6 (a) Advanced data
Industry .. Confidential data, low reliability or not available -0.1 (a) Advanced data -1.5 (a) Advanced data
Construction .. Confidential data, low reliability or not available -0.9 (a) Advanced data 0.5 (a) Advanced data
Services .. Confidential data, low reliability or not available 2.5 (a) Advanced data 7.0 (a) Advanced data
Trade, transport and accomodation .. 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.
(a) Advanced data.
(..) Confidential data, low reliability or not available.
Gross Domestic Product. Supply. Seasonally adjusted data Spain. 2nd quarter 2022
Value at current prices (€M) Quarter-over-quarter variation in volume (%) Year-over-year variation in volume (%)
GDP 320,361 (a) Advanced data 1.1 (a) Advanced data 6.3 (a) Advanced data
Gross value added (1) 286,825 (a) Advanced data 0.8 (a) Advanced data 6.4 (a) Advanced data
Agriculture 6,881 (a) Advanced data -1.9 (a) Advanced data -2.9 (a) Advanced data
Industry 49,518 (a) Advanced data 0.8 (a) Advanced data 3.0 (a) Advanced data
Construction 16,103 (a) Advanced data 0.3 (a) Advanced data 5.0 (a) Advanced data
Services 214,323 (a) Advanced data 0.9 (a) Advanced data 7.7 (a) Advanced data
Trade, transport and accomodation 68,436 (a) Advanced data 1.8 (a) Advanced data 21.8 (a) Advanced data
Real state, professional and other activities (1) 92,420 (a) Advanced data 1.3 (a) Advanced data 4.6 (a) Advanced data
Public administration, education, health and social services 53,467 (a) Advanced data -0.8 (a) Advanced data -1.5 (a) Advanced data
Net taxes on products 33,536 (a) Advanced data 4.5 (a) Advanced data 4.7 (a) Advanced data
Source: INE. Quarterly Spanish National Accounts. 2019 Benchmark revision.
(1) Data calculated by Idescat from information published by the INE, to facilitate comparability of the tables.
(a) Advanced data.

Last update: August 1, 2022. Next update: November 4, 2022 Calendari

Statistics PIBT

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.

  1. 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).
  2. 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.
  3. 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.

The new quarterly GDP series is coherent with the Annual Economic Accounts in Catalonia, 2019 Benchmark revision.

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.