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Gross value added of the Industry. By branches of activity. Counties

Gross value added (GVA). Industry. Millions of euros. Counties and Aran 2021 (p)
Mining industries, water, energy and waste Food, textiles, wood, graphic arts, chemicals and rubber Metallurgy, machinery, electrical materials and transport Total
Alt Camp 68.7 354.2 250.1 673.0
Alt Empordà 85.3 174.6 151.9 411.7
Alt Penedès 62.3 851.0 244.4 1,157.7
Alt Urgell 16.0 16.0 17.2 49.2
Alta Ribagorça 10.5 1.3 0.9 12.7
Anoia 142.0 483.0 273.5 898.5
Aran 22.8 2.0 2.3 27.2
Bages 196.4 459.6 673.3 1,329.3
Baix Camp 589.8 276.0 267.4 1,133.2
Baix Ebre 79.8 166.0 49.3 295.0
Baix Empordà 50.3 113.4 87.4 251.1
Baix Llobregat 456.5 2,167.9 3,827.5 6,451.9
Baix Penedès 51.3 122.0 148.1 321.5
Barcelonès 2,506.5 2,594.2 2,007.0 7,107.6
Berguedà 43.7 142.6 110.3 296.6
Cerdanya 11.8 4.8 3.1 19.8
Conca de Barberà 35.0 93.4 124.4 252.8
Garraf 44.6 79.4 161.5 285.6
Garrigues 53.2 35.0 27.0 115.2
Garrotxa 40.0 497.0 197.4 734.4
Gironès 98.3 757.5 223.1 1,078.9
Maresme 171.4 840.4 421.5 1,433.3
Moianès 5.5 103.6 8.5 117.6
Montsià 29.7 133.2 109.4 272.4
Noguera 40.4 66.1 64.9 171.4
Osona 90.5 1,060.8 563.2 1,714.4
Pallars Jussà 30.0 6.1 1.9 38.0
Pallars Sobirà 14.1 3.7 0.8 18.6
Pla d'Urgell 38.9 249.2 112.7 400.8
Pla de l'Estany 10.8 148.5 160.8 320.1
Priorat 6.0 26.8 3.0 35.8
Ribera d'Ebre 853.9 32.6 17.6 904.1
Ripollès 13.3 70.1 106.6 190.0
Segarra 16.5 296.4 103.7 416.6
Segrià 120.3 306.2 198.6 625.1
Selva 114.8 936.2 249.9 1,300.9
Solsonès 8.6 33.3 54.7 96.6
Tarragonès 349.6 1,776.0 312.6 2,438.2
Terra Alta 82.9 45.1 11.8 139.8
Urgell 42.4 150.1 104.9 297.4
Vallès Occidental 528.8 3,408.0 3,009.2 6,945.9
Vallès Oriental 240.2 2,943.0 1,444.9 4,628.2
Catalonia 7,473.4 22,026.3 15,908.4 45,408.1
Units: Milions of euros (2019 Benchmark revision).
Source: Idescat. Gross Domestic Product. Counties and municipalities.
(p) Provisional data.
Gross value added (GVA). Industry. Percentage. Counties and Aran 2021 (p)
Mining industries, water, energy and waste Food, textiles, wood, graphic arts, chemicals and rubber Metallurgy, machinery, electrical materials and transport Total
Alt Camp 10.2 52.6 37.2 100.0
Alt Empordà 20.7 42.4 36.9 100.0
Alt Penedès 5.4 73.5 21.1 100.0
Alt Urgell 32.5 32.5 35.0 100.0
Alta Ribagorça 82.7 10.2 7.1 100.0
Anoia 15.8 53.8 30.4 100.0
Aran 83.8 7.4 8.5 100.0
Bages 14.8 34.6 50.7 100.0
Baix Camp 52.0 24.4 23.6 100.0
Baix Ebre 27.1 56.3 16.7 100.0
Baix Empordà 20.0 45.2 34.8 100.0
Baix Llobregat 7.1 33.6 59.3 100.0
Baix Penedès 16.0 37.9 46.1 100.0
Barcelonès 35.3 36.5 28.2 100.0
Berguedà 14.7 48.1 37.2 100.0
Cerdanya 59.6 24.2 15.7 100.0
Conca de Barberà 13.8 36.9 49.2 100.0
Garraf 15.6 27.8 56.5 100.0
Garrigues 46.2 30.4 23.4 100.0
Garrotxa 5.4 67.7 26.9 100.0
Gironès 9.1 70.2 20.7 100.0
Maresme 12.0 58.6 29.4 100.0
Moianès 4.7 88.1 7.2 100.0
Montsià 10.9 48.9 40.2 100.0
Noguera 23.6 38.6 37.9 100.0
Osona 5.3 61.9 32.9 100.0
Pallars Jussà 78.9 16.1 5.0 100.0
Pallars Sobirà 75.8 19.9 4.3 100.0
Pla d'Urgell 9.7 62.2 28.1 100.0
Pla de l'Estany 3.4 46.4 50.2 100.0
Priorat 16.8 74.9 8.4 100.0
Ribera d'Ebre 94.4 3.6 1.9 100.0
Ripollès 7.0 36.9 56.1 100.0
Segarra 4.0 71.1 24.9 100.0
Segrià 19.2 49.0 31.8 100.0
Selva 8.8 72.0 19.2 100.0
Solsonès 8.9 34.5 56.6 100.0
Tarragonès 14.3 72.8 12.8 100.0
Terra Alta 59.3 32.3 8.4 100.0
Urgell 14.3 50.5 35.3 100.0
Vallès Occidental 7.6 49.1 43.3 100.0
Vallès Oriental 5.2 63.6 31.2 100.0
Catalonia 16.5 48.5 35.0 100.0
Units: Per cent (2019 Benchmark Revision).
Source: Idescat. Gross Domestic Product. Counties and municipalities.
(p) Provisional data.

Last update: December 22, 2023.

PIBC

These statistics have a specific section with all the information available: Territorial Gross Domestic Product (PIBC).

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 "..".