Skip to main content

GVA. By sectors. Counties

Gross value added (GVA). By sectors. Milions of euros. Counties 2021 (p)
Agriculture Industry Construction Services Total
Alt Camp 11.6 673.0 46.3 667.8 1,398.7
Alt Empordà 96.5 411.7 241.7 2,489.4 3,239.3
Alt Penedès 14.4 1,157.7 145.4 1,639.0 2,956.6
Alt Urgell 11.9 49.2 24.7 347.6 433.4
Alta Ribagorça 1.2 12.7 6.3 67.6 87.7
Anoia 24.5 898.5 143.8 1,585.9 2,652.7
Aran 0.3 27.2 33.3 222.2 282.9
Bages 32.1 1,329.3 218.7 2,921.0 4,501.1
Baix Camp 56.2 1,133.2 262.0 2,984.0 4,435.4
Baix Ebre 96.5 295.0 129.7 1,196.7 1,718.0
Baix Empordà 73.6 251.1 302.5 2,189.6 2,816.7
Baix Llobregat 17.9 6,451.9 1,122.7 17,336.1 24,928.5
Baix Penedès 6.9 321.5 115.0 1,349.0 1,792.3
Barcelonès 14.5 7,107.6 3,094.6 70,583.3 80,800.0
Berguedà 21.1 296.6 59.1 589.3 966.0
Cerdanya 4.2 19.8 56.4 317.6 398.0
Conca de Barberà 18.7 252.8 27.0 265.3 563.8
Garraf 13.5 285.6 170.8 2,282.7 2,752.6
Garrigues 59.7 115.2 30.3 186.1 391.3
Garrotxa 15.4 734.4 77.7 811.7 1,639.1
Gironès 57.7 1,078.9 323.7 4,366.7 5,826.9
Maresme 125.4 1,433.3 522.7 6,876.6 8,957.9
Moianès 5.6 117.6 19.4 137.8 280.4
Montsià 108.9 272.4 67.3 855.5 1,304.1
Noguera 172.9 171.4 59.0 494.2 897.6
Osona 66.7 1,714.4 225.5 2,609.8 4,616.5
Pallars Jussà 21.2 38.0 22.5 209.0 290.7
Pallars Sobirà 2.7 18.6 13.5 122.9 157.7
Pla d'Urgell 119.8 400.8 57.5 473.1 1,051.2
Pla de l'Estany 18.9 320.1 55.2 473.6 867.8
Priorat 3.9 35.8 8.5 112.0 160.2
Ribera d'Ebre 31.0 904.1 19.7 294.5 1,249.2
Ripollès 3.3 190.0 28.8 356.4 578.5
Segarra 49.7 416.6 22.8 250.0 739.1
Segrià 416.0 625.1 347.2 4,516.3 5,904.5
Selva 64.8 1,300.9 236.8 2,714.5 4,317.0
Solsonès 25.4 96.6 24.9 185.2 332.2
Tarragonès 22.1 2,438.2 371.0 5,244.4 8,075.6
Terra Alta 12.5 139.8 16.7 118.3 287.3
Urgell 81.5 297.4 49.5 539.1 967.5
Vallès Occidental 7.2 6,945.9 1,234.4 18,920.6 27,108.2
Vallès Oriental 32.7 4,628.2 531.9 7,187.7 12,380.4
Catalonia 2,040.2 45,408.1 10,566.4 167,089.9 225,104.6
Units: Milions of euros (2019 Benchmark revision).
Source: Idescat. Gross Domestic Product. Counties and municipalities.
(p) Provisional data.
Gross value added (GVA). By sectors. Percentage. Counties and Aran 2021 (p)
Agriculture Industry Construction Services Total
Alt Camp 0.8 48.1 3.3 47.7 100
Alt Empordà 3.0 12.7 7.5 76.8 100
Alt Penedès 0.5 39.2 4.9 55.4 100
Alt Urgell 2.7 11.4 5.7 80.2 100
Alta Ribagorça 1.4 14.5 7.2 77.1 100
Anoia 0.9 33.9 5.4 59.8 100
Aran 0.1 9.6 11.8 78.5 100
Bages 0.7 29.5 4.9 64.9 100
Baix Camp 1.3 25.5 5.9 67.3 100
Baix Ebre 5.6 17.2 7.5 69.7 100
Baix Empordà 2.6 8.9 10.7 77.7 100
Baix Llobregat 0.1 25.9 4.5 69.5 100
Baix Penedès 0.4 17.9 6.4 75.3 100
Barcelonès 0.0 8.8 3.8 87.4 100
Berguedà 2.2 30.7 6.1 61.0 100
Cerdanya 1.1 5.0 14.2 79.8 100
Conca de Barberà 3.3 44.8 4.8 47.1 100
Garraf 0.5 10.4 6.2 82.9 100
Garrigues 15.3 29.4 7.7 47.6 100
Garrotxa 0.9 44.8 4.7 49.5 100
Gironès 1.0 18.5 5.6 74.9 100
Maresme 1.4 16.0 5.8 76.8 100
Moianès 2.0 41.9 6.9 49.1 100
Montsià 8.4 20.9 5.2 65.6 100
Noguera 19.3 19.1 6.6 55.1 100
Osona 1.4 37.1 4.9 56.5 100
Pallars Jussà 7.3 13.1 7.7 71.9 100
Pallars Sobirà 1.7 11.8 8.6 77.9 100
Pla d'Urgell 11.4 38.1 5.5 45.0 100
Pla de l'Estany 2.2 36.9 6.4 54.6 100
Priorat 2.4 22.3 5.3 69.9 100
Ribera d'Ebre 2.5 72.4 1.6 23.6 100
Ripollès 0.6 32.8 5.0 61.6 100
Segarra 6.7 56.4 3.1 33.8 100
Segrià 7.0 10.6 5.9 76.5 100
Selva 1.5 30.1 5.5 62.9 100
Solsonès 7.6 29.1 7.5 55.7 100
Tarragonès 0.3 30.2 4.6 64.9 100
Terra Alta 4.4 48.7 5.8 41.2 100
Urgell 8.4 30.7 5.1 55.7 100
Vallès Occidental 0.0 25.6 4.6 69.8 100
Vallès Oriental 0.3 37.4 4.3 58.1 100
Catalonia 0.9 20.2 4.7 74.2 100
Units: Per cent (2019 Benchmark Revision).
Source: Idescat. Gross Domestic Product. Counties and municipalities.
(p) Provisional data.

Last update: December 22, 2023.

Methodological note

Definition of concepts

Gross value added
Wealth generated over a period considered that is obtained from the difference between the production value and intermediate consumption used (prime materials, services and exterior supplies, etc.). In coherence with INE methodology applied to national accounts, the production imputed to bank services has been deducted from the gross added value of the service sector, rather than distributing it between all sectors of the economy.

Methodological aspects

Gross domestic product at market price (GDP mp) measures the total economic activity of a territory's productive units. It is calculated based on market prices, as the value of production takes into account the incidence of taxes and subsidies.

From a supply standpoint, GDP makes it possible to assess the contributions made by the different productive activity branches to the whole of the economy; that is to say, it encompasses the gross value added of the main activity branches, valued at basic prices.

GDP estimations are based on the counties of Catalonia. Disaggregated data is also available for municipalities with more than 5000 inhabitants and for county capitals.

As for gross value added (GVA) ), it represents the wealth generated by the economy during the period being considered. It is obtained by calculating the difference between production value and the value of intermediate resource consumption (raw materials, services, exterior supplies, etc.). It is calculated at basic prices, , that is to say, taxes and subsidies affecting products (VAT, special taxes, etc.) are not taken into account only production taxes are. These taxes are the ones levied on companies for participating in production activities, regardless of the amount or value of what has been produced and sold.

GVA results are published here by main economic activity sectors (agriculture, industry, construction and services) for municipalities with more than 5000 inhabitants and for county capital.

Data on gross value added is also published for 11 branches of economic activity for municipalities with over 45,000 inhabitants and all counties of Catalonia.

Unavailable information is represented using the symbol ":". When the value is lower than that of the minimum unit to be able to estimate the statistical operation or if it effects statistical confidentiality, the symbol used is "..".